{"pageNumber":"151","pageRowStart":"3750","pageSize":"25","recordCount":16460,"records":[{"id":70047264,"text":"sir20135041 - 2013 - Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007","interactions":[],"lastModifiedDate":"2017-02-07T10:21:11","indexId":"sir20135041","displayToPublicDate":"2013-07-29T09:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5041","title":"Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007","docAbstract":"rom 2005 to 2007, the U.S. Geological Survey and the North Carolina Department of Environment and Natural Resources, Division of Water Quality, conducted a study to describe the geologic framework, measure groundwater quality, characterize the groundwater-flow system, and describe the groundwater/surface-water interaction at the 60-acre Raleigh hydrogeologic research station (RHRS) located at the Neuse River Waste Water Treatment Plant in eastern Wake County, North Carolina. Previous studies have shown that the local groundwater quality of the surficial and bedrock aquifers at the RHRS had been affected by high levels of nutrients. Geologic, hydrologic, and water-quality data were collected from 3 coreholes, 12 wells, and 4 piezometers at 3 well clusters, as well as from 2 surface-water sites, 2 multiport piezometers, and 80 discrete locations in the streambed of the Neuse River. Data collected were used to evaluate the three primary zones of the Piedmont aquifer (regolith, transition zone, and fractured bedrock) and characterize the interaction of groundwater and surface water as a mechanism of nutrient transport to the Neuse River. A conceptual hydrogeologic cross section across the RHRS was constructed using new and existing data. Two previously unmapped north striking, nearly vertical diabase dikes intrude the granite beneath the site. Groundwater within the diabase dike appeared to be hydraulically isolated from the surrounding granite bedrock and regolith. A correlation exists between foliation and fracture orientation, with most fractures striking parallel to foliation. Flowmeter logging in two of the bedrock wells indicated that not all of the water-bearing fractures labeled as water bearing were hydraulically active, even when stressed by pumping. Groundwater levels measured in wells at the RHRS displayed climatic and seasonal trends, with elevated groundwater levels occurring during the late spring and declining to a low in the late fall. Vertical gradients in the groundwater discharge area near the Neuse River were complex and were affected by fluctuations in river stage, with the exception of a well completed in a diabase dike. Water-quality data from the wells and surface-water sites at the RHRS were collected continuously as well as during periodic sampling events. Surface-water samples collected from a tributary were most similar in chemical composition to groundwater found in the regolith and transition zone. Nitrate (measured as nitrite plus nitrate, as nitrogen) concentrations in the sampled wells and tributary ranged from about 5 to more than 120 milligrams per liter as nitrogen. Waterborne continuous resistivity profiling conducted on the Neuse River in the area of the RHRS measured areas of low apparent resistivity that likely represent groundwater contaminated by high concentrations of nitrate. These areas were located on either side of a diabase dike and at the outfall of two unnamed tributaries. The diabase dike preferentially directed the discharge of groundwater to the Neuse River and may isolate groundwater movement laterally. Discrete temperature measurements made within the pore water beneath the Neuse River revealed seeps of colder groundwater discharging into warmer surface water near a diabase dike. Water-quality samples collected from the pore water beneath the Neuse River indicated that nitrate was present at concentrations as high as 80 milligrams per liter as nitrogen on the RHRS side of the river. The highest concentrations of nitrate were located within pore water collected from an area near a diabase dike that was identified as a suspected seepage area. Hydraulic head was measured and pore water samples were collected from two 140-centimeter-deep (55.1-inch-deep) multiport piezometers that were installed in bed sediments on opposite sides of a diabase dike. The concentration of nitrate in pore water at a suspected seepage area ranged from 42 to 82 milligrams per liter as nitrogen with a median concentration of 79 milligrams per liter as nitrogen. On the opposite side of the dike, concentrations of nitrate in pore water samples ranged from 3 to 91 milligrams per liter as nitrogen with a median concentration of 52 milligrams per liter. At one of the multiport piezometers the vertical gradient of hydraulic head between the Neuse River and the groundwater was too small to measure. At the multiport piezometer located in the suspected seepage area, an upward gradient of about 0.1 was present and explains the occurrence of higher concentrations of nitrate near the sediment/water interface. Horizontal seepage flux from the surficial aquifer to the edge of the Neuse River was estimated for 2006. Along a 130-foot flow path, the estimated seepage flux ranged from –0.52 to 0.2 foot per day with a median of 0.09 foot per day. The estimated advective horizontal mass flux of nitrate along a 300-foot reach of the Neuse River ranged from –10.9 to 5 pounds per day with a median of 2.2 pounds per day. The total horizontal mass flux of nitrate from the surficial aquifer to the Neuse River along the 130-foot flow path was estimated to be about 750 pounds for all of 2006. Seepage meters were deployed on the bed of the Neuse River in the areas of the multiport piezometers on either side of the diabase dike to estimate rates of vertical groundwater discharge and flux of nitrate. The average estimated daily seepage flux differed by two orders of magnitude between seepage areas. The potential vertical flux of nitrate from groundwater to the Neuse River was estimated at an average of 2.5 grams per day near one of the multiport piezometers and an average of 784 grams per day at the other. These approximations suggest that under some hydrologic conditions there is the potential for substantial quantities of nitrate to discharge from the groundwater to the Neuse River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135041","collaboration":"Prepared In Cooperation With The North Carolina Department Of Environment And Natural Resources Division Of Water Quality","usgsCitation":"McSwain, K., Bolich, R.E., and Chapman, M.J., 2013, Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007: U.S. Geological Survey Scientific Investigations Report 2013-5041, viii, 54 p., https://doi.org/10.3133/sir20135041.","productDescription":"viii, 54 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":275495,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5041/"},{"id":275496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135041.gif"},{"id":275494,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5041/pdf/sir2013-5041.pdf"}],"country":"United States","state":"North Carolina","otherGeospatial":"Neuse River Waste Water Treatment Plant","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.59 ], [ -78.04,36.59 ], [ -78.04,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9325","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":481565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolich, Richard E.","contributorId":89615,"corporation":false,"usgs":true,"family":"Bolich","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148415,"text":"70148415 - 2013 - Occurrence and mobility of mercury in groundwater: Chapter 5","interactions":[],"lastModifiedDate":"2016-04-12T19:06:45","indexId":"70148415","displayToPublicDate":"2013-07-27T11:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"title":"Occurrence and mobility of mercury in groundwater: Chapter 5","docAbstract":"

1. Introduction

\n
\n

1.1. FORMS, TOXICITY, AND HEALTH EFFECTS

\n

Mercury (Hg) has long been identified as an element that is injurious, even lethal, to living organisms. Exposure to its inorganic form, mainly from elemental Hg (Hg(0)) vapor (Fitzgerald & Lamborg, 2007) can cause damage to respiratory, neural, and renal systems (Hutton, 1987; USEPA, 2012; WHO, 2012). The organic form, methylmercury (CH3Hg+; MeHg), is substantially more toxic than the inorganic form (Fitzgerald & Lamborg, 2007). Methylmercury attacks the nervous system and exposure can prove lethal, as demonstrated by well-known incidents such as those in 1956 in Minimata, Japan (Harada, 1995), and 1971 in rural Iraq (Bakir et al., 1973), where, in the former, industrial release of MeHg into coastal waters severely tainted the fish caught and eaten by the local population, and in the latter, grain seed treated with an organic mercurial fungicide was not planted, but eaten in bread instead. Resultant deaths are not known with certainty but have been estimated at about 100 and 500, respectively (Hutton, 1987). Absent such lethal accidents, human exposure to MeHg comes mainly from ingestion of piscivorous fish in which MeHg has accumulated, with potential fetal damage ascribed to high fish diets during their mothers’ pregnancies (USEPA, 2001). Lesser human exposure occurs through ingestion of drinking water (USEPA, 2001), where concentrations of total Hg (THg; inorganic plus organic forms) typically are in the low nanograms-per-liter range[1] - , particularly from many groundwater sources, and concentrations at the microgram-per-liter level are rare.

\n
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","language":"English","publisher":"InTech","doi":"10.5772/55487","usgsCitation":"Barringer, J., Szabo, Z., and Reilly, P.A., 2013, Occurrence and mobility of mercury in groundwater: Chapter 5, chap. of Current perspectives in contaminant hydrology and water resources sustainability, p. 117-149, https://doi.org/10.5772/55487.","productDescription":"33 p.","startPage":"117","endPage":"149","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041831","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":320015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570e1c35e4b0ef3b7ca24c3c","contributors":{"editors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626591,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":626590,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548076,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046908,"text":"70046908 - 2013 - Spatial dynamics of ecosystem service flows: a comprehensive approach to quantifying actual services","interactions":[],"lastModifiedDate":"2013-07-26T13:01:41","indexId":"70046908","displayToPublicDate":"2013-07-26T12:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Spatial dynamics of ecosystem service flows: a comprehensive approach to quantifying actual services","docAbstract":"Recent ecosystem services research has highlighted the importance of spatial connectivity between ecosystems and their beneficiaries. Despite this need, a systematic approach to ecosystem service flow quantification has not yet emerged. In this article, we present such an approach, which we formalize as a class of agent-based models termed “Service Path Attribution Networks” (SPANs). These models, developed as part of the Artificial Intelligence for Ecosystem Services (ARIES) project, expand on ecosystem services classification terminology introduced by other authors. Conceptual elements needed to support flow modeling include a service's rivalness, its flow routing type (e.g., through hydrologic or transportation networks, lines of sight, or other approaches), and whether the benefit is supplied by an ecosystem's provision of a beneficial flow to people or by absorption of a detrimental flow before it reaches them. We describe our implementation of the SPAN framework for five ecosystem services and discuss how to generalize the approach to additional services. SPAN model outputs include maps of ecosystem service provision, use, depletion, and flows under theoretical, possible, actual, inaccessible, and blocked conditions. We highlight how these different ecosystem service flow maps could be used to support various types of decision making for conservation and resource management planning.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosystem Services","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2012.07.012","usgsCitation":"Bagstad, K.J., Johnson, G.W., Voigt, B., and Villa, F., 2013, Spatial dynamics of ecosystem service flows: a comprehensive approach to quantifying actual services: Ecosystem Services, v. 4, p. 117-125, https://doi.org/10.1016/j.ecoser.2012.07.012.","productDescription":"9 p.","startPage":"117","endPage":"125","numberOfPages":"9","ipdsId":"IP-037480","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2012.07.012","text":"Publisher Index Page"},{"id":275448,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoser.2012.07.012"},{"id":275450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274717,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S2212041612000174"}],"volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f38c5de4b0a32220222f2f","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":480601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Gary W.","contributorId":90618,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voigt, Brian","contributorId":102962,"corporation":false,"usgs":true,"family":"Voigt","given":"Brian","affiliations":[],"preferred":false,"id":480604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":480602,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047216,"text":"70047216 - 2013 - A comparison of models for estimating potential evapotranspiration for Florida land cover types","interactions":[],"lastModifiedDate":"2013-07-26T08:09:28","indexId":"70047216","displayToPublicDate":"2013-07-25T16:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of models for estimating potential evapotranspiration for Florida land cover types","docAbstract":"We analyzed observed daily evapotranspiration (DET) at 18 sites having measured DET and ancillary climate data and then used these data to compare the performance of three common methods for estimating potential evapotranspiration (PET): the Turc method (Tc), the Priestley-Taylor method (PT) and the Penman-Monteith method (PM). The sites were distributed throughout the State of Florida and represent a variety of land cover types: open water (3), marshland (4), grassland/pasture (4), citrus (2) and forest (5). Not surprisingly, the highest DET values occurred at the open water sites, ranging from an average of 3.3 mm d-1 in the winter to 5.3 mm d-1 in the spring. DET at the marsh sites was also high, ranging from 2.7 mm d-1 in winter to 4.4 mm d-1 in summer. The lowest DET occurred in the winter and fall seasons at the grass sites (1.3 mm d-1 and 2.0 mm d-1, respectively) and at the forested sites (1.8 mm d-1 and 2.3 mm d-1, respectively). The performance of the three methods when applied to conditions close to PET (Bowen ratio ≤ 1) was used to judge relative merit. Under such PET conditions, annually aggregated Tc and PT methods perform comparably and outperform the PM method, possibly due to the sensitivity of the PM method to the limited transferability of previously determined model parameters. At a daily scale, the PT performance appears to be superior to the other two methods for estimating PET for a variety of land covers in Florida.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2009.04.029","usgsCitation":"Douglas, E.M., Jacobs, J.M., Sumner, D.M., and Ray, R.L., 2013, A comparison of models for estimating potential evapotranspiration for Florida land cover types: Journal of Hydrology, v. 373, no. 3-4, p. 366-376, https://doi.org/10.1016/j.jhydrol.2009.04.029.","productDescription":"11 p.","startPage":"366","endPage":"376","numberOfPages":"11","ipdsId":"IP-004364","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":275415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275413,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2009.04.029"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.6349,24.5211 ], [ -87.6349,31.001 ], [ -80.0311,31.001 ], [ -80.0311,24.5211 ], [ -87.6349,24.5211 ] ] ] } } ] }","volume":"373","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f253e2e4b0279fe2e1bfbd","contributors":{"authors":[{"text":"Douglas, Ellen M.","contributorId":57344,"corporation":false,"usgs":true,"family":"Douglas","given":"Ellen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobs, Jennifer M.","contributorId":86245,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sumner, David M. 0000-0002-2144-9304 dmsumner@usgs.gov","orcid":"https://orcid.org/0000-0002-2144-9304","contributorId":1362,"corporation":false,"usgs":true,"family":"Sumner","given":"David","email":"dmsumner@usgs.gov","middleInitial":"M.","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Ram L.","contributorId":21850,"corporation":false,"usgs":true,"family":"Ray","given":"Ram","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70047205,"text":"70047205 - 2013 - Appraising options to reduce shallow groundwater tables and enhance flow conditions over regional scales in an irrigated alluvial aquifer system","interactions":[],"lastModifiedDate":"2014-07-29T10:02:14","indexId":"70047205","displayToPublicDate":"2013-07-25T13:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Appraising options to reduce shallow groundwater tables and enhance flow conditions over regional scales in an irrigated alluvial aquifer system","docAbstract":"Some of the world’s key agricultural production systems face big challenges to both water quantity and quality due to shallow groundwater that results from long-term intensive irrigation, namely waterlogging and salinity, water losses, and environmental problems. This paper focuses on water quantity issues, presenting finite-difference groundwater models developed to describe shallow water table levels, non-beneficial groundwater consumptive use, and return flows to streams across two regions within an irrigated alluvial river valley in southeastern Colorado, USA. The models are calibrated and applied to simulate current baseline conditions in the alluvial aquifer system and to examine actions for potentially improving these conditions. The models provide a detailed description of regional-scale subsurface unsaturated and saturated flow processes, thereby enabling detailed spatiotemporal description of groundwater levels, recharge to infiltration ratios, partitioning of ET originating from the unsaturated and saturated zones, and groundwater flows, among other variables. Hybrid automated and manual calibration of the models is achieved using extensive observations of groundwater hydraulic head, groundwater return flow to streams, aquifer stratigraphy, canal seepage, total evapotranspiration, the portion of evapotranspiration supplied by upflux from the shallow water table, and irrigation flows. Baseline results from the two regional-scale models are compared to model predictions under variations of four alternative management schemes: (1) reduced seepage from earthen canals, (2) reduced irrigation applications, (3) rotational lease fallowing (irrigation water leased to municipalities, resulting in temporary dry-up of fields), and (4) combinations of these. The potential for increasing the average water table depth by up to 1.1 and 0.7 m in the two respective modeled regions, thereby reducing the threat of waterlogging and lowering non-beneficial consumptive use from adjacent fallow and naturally-vegetated lands, is demonstrated for the alternative management intervention scenarios considered. Net annual average savings of up to about 9.9 million m3 (8000 ac ft) and 2.3 million m3 (1900 ac ft) of non-beneficial groundwater consumptive use is demonstrated for the study periods in each of the two respective study regions. Alternative water management interventions achieve varying degrees of benefits in each of the two regions, suggesting a need to adopt region-specific interventions and avoid a ‘one-size-fits-all’ approach. Impacts of the considered interventions on return flows to the river were predicted to be significant, highlighting the need for flow augmentation to comply with an interstate river compact and portending beneficial impacts on solute loading.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.04.047","usgsCitation":"Morway, E., Gates, T., and Niswonger, R., 2013, Appraising options to reduce shallow groundwater tables and enhance flow conditions over regional scales in an irrigated alluvial aquifer system: Journal of Hydrology, v. 495, p. 216-237, https://doi.org/10.1016/j.jhydrol.2013.04.047.","productDescription":"22 p.","startPage":"216","endPage":"237","numberOfPages":"22","ipdsId":"IP-041995","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":275400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275386,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.04.047"}],"country":"United States","state":"Colorado","otherGeospatial":"Pueblo Reservoir;John Martin Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.2239,37.9317 ], [ -105.2239,38.4631 ], [ -102.7435,38.4631 ], [ -102.7435,37.9317 ], [ -105.2239,37.9317 ] ] ] } } ] }","volume":"495","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f253e8e4b0279fe2e1bfc5","chorus":{"doi":"10.1016/j.jhydrol.2013.04.047","url":"http://dx.doi.org/10.1016/j.jhydrol.2013.04.047","publisher":"Elsevier BV","authors":"Morway Eric D., Gates Timothy K., Niswonger Richard G.","journalName":"Journal of Hydrology","publicationDate":"7/2013","auditedOn":"10/29/2014"},"contributors":{"authors":[{"text":"Morway, Eric D.","contributorId":72276,"corporation":false,"usgs":true,"family":"Morway","given":"Eric D.","affiliations":[],"preferred":false,"id":481356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gates, Timothy K.","contributorId":88246,"corporation":false,"usgs":true,"family":"Gates","given":"Timothy K.","affiliations":[],"preferred":false,"id":481357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":481355,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047187,"text":"ofr20131161 - 2013 - Thermokarst and thaw-related landscape dynamics -- an annotated bibliography with an emphasis on potential effects on habitat and wildlife","interactions":[],"lastModifiedDate":"2018-06-19T19:51:46","indexId":"ofr20131161","displayToPublicDate":"2013-07-24T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1161","title":"Thermokarst and thaw-related landscape dynamics -- an annotated bibliography with an emphasis on potential effects on habitat and wildlife","docAbstract":"Permafrost has warmed throughout much of the Northern Hemisphere since the 1980s, with colder permafrost sites warming more rapidly (Romanovsky and others, 2010; Smith and others, 2010). Warming of the near-surface permafrost may lead to widespread terrain instability in ice-rich permafrost in the Arctic and the Subarctic, and may result in thermokarst development and other thaw-related landscape features (Jorgenson and others, 2006; Gooseff and others, 2009). Thermokarst and other thaw-related landscape features result from varying modes and scales of permafrost thaw, subsidence, and removal of material. An increase in active-layer depth, water accumulation on the soil surface, permafrost degradation and associated retreat of the permafrost table, and changes to lake shores and coastal bluffs act and interact to create thermokarst and other thaw-related landscape features (Shur and Osterkamp, 2007). There is increasing interest in the spatial and temporal dynamics of thermokarst and other thaw-related features from diverse disciplines including landscape ecology, hydrology, engineering, and biogeochemistry. Therefore, there is a need to synthesize and disseminate knowledge on the current state of near-surface permafrost terrain.\n\nThe term \"thermokarst\" originated in the Russian literature, and its scientific use has varied substantially over time (Shur and Osterkamp, 2007). The modern definition of thermokarst refers to the process by which characteristic landforms result from the thawing of ice-rich permafrost or the melting of massive ice (van Everdingen, 1998), or, more specifically, the thawing of ice-rich permafrost and (or) melting of massive ice that result in consolidation and deformation of the soil surface and formation of specific forms of relief (Shur, 1988). Jorgenson (2013) identifies 23 distinct thermokarst and other thaw-related features in the Arctic, Subarctic, and Antarctic based primarily on differences in terrain condition, ground-ice volume, and heat and mass transfer processes. Typical Arctic thermokarst landforms include thermokarst lakes, collapsed pingos, sinkholes, and pits. Thermokarst is differentiated from thermal erosion, which refers to the erosion of the land surface by thermal and mechanical processes (Mackay, 1970; van Everdingen, 1998). Typical thermal erosional features include thermo-erosional gullies. Thermal abrasion is further differentiated from thermokarst and thermal erosion by association with the reworking of ocean, river, and lake bluffs (Are, 1988). Typical thermo-abrasion features include erosional niches at the base of bluffs. Thermal denudation is another distinct term that refers to the effect of incoming solar energy on the thaw of frozen slopes and permafrost bodies that subsequently become transported downhill by gravity (Shur and Osterkamp, 2007). Active layer detachment slides and thaw slumps are typical thermal denudation features. Shur and Osterkamp (2007) noted that these various transport processes may occur together with thermokarst or in instances that would not be considered thermokarst.\n\nThis compilation of references regarding thermokarst and other thaw-related features is focused on the Arctic and the Subarctic. References were drawn from North America as well as Siberia. English-language literature mostly was targeted, with 167 references annotated in version 1.0; however, an additional 28 Russian-language references were taken from Shur and Osterkamp (2007) and are provided at the end of this document. This compilation may be missing key references and inevitably will become outdated soon after publication. We hope that this document, version 1.0, will serve as the foundation for a comprehensive compilation of thermokarst and permafrost-terrain stability references, and that it will be updated continually over the coming years.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131161","collaboration":"Compiled for the Arctic Landscape Conservation Cooperative","usgsCitation":"Jones, B.M., Amundson, C.L., Koch, J.C., and Grosse, G., 2013, Thermokarst and thaw-related landscape dynamics -- an annotated bibliography with an emphasis on potential effects on habitat and wildlife: U.S. Geological Survey Open-File Report 2013-1161, iv, 60 p., https://doi.org/10.3133/ofr20131161.","productDescription":"iv, 60 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":275341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131161.bmp"},{"id":275340,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1161/"},{"id":275339,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1161/pdf/ofr20131161.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95de4b04309f4e38cfb","contributors":{"authors":[{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":481308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":481306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":481309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046061,"text":"70046061 - 2013 - Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","interactions":[],"lastModifiedDate":"2013-07-23T09:48:25","indexId":"70046061","displayToPublicDate":"2013-07-23T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States","docAbstract":"An approach is presented in this study to aid water-resource managers in characterizing streamflow alteration at ungauged rivers. Such approaches can be used to take advantage of the substantial amounts of biological data collected at ungauged rivers to evaluate the potential ecological consequences of altered streamflows. National-scale random forest statistical models are developed to predict the likelihood that ungauged rivers have altered streamflows (relative to expected natural condition) for five hydrologic metrics (HMs) representing different aspects of the streamflow regime. The models use human disturbance variables, such as number of dams and road density, to predict the likelihood of streamflow alteration. For each HM, separate models are derived to predict the likelihood that the observed metric is greater than (‘inflated’) or less than (‘diminished’) natural conditions. The utility of these models is demonstrated by applying them to all river segments in the South Platte River in Colorado, USA, and for all 10-digit hydrologic units in the conterminous United States. In general, the models successfully predicted the likelihood of alteration to the five HMs at the national scale as well as in the South Platte River basin. However, the models predicting the likelihood of diminished HMs consistently outperformed models predicting inflated HMs, possibly because of fewer sites across the conterminous United States where HMs are inflated. The results of these analyses suggest that the primary predictors of altered streamflow regimes across the Nation are (i) the residence time of annual runoff held in storage in reservoirs, (ii) the degree of urbanization measured by road density and (iii) the extent of agricultural land cover in the river basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.2565","usgsCitation":"Eng, K., Carlisle, D.M., Wolock, D.M., and Falcone, J.A., 2013, Predicting the likelihood of altered streamflows at ungauged rivers across the conterminous United States: River Research and Applications, v. 29, no. 6, p. 781-791, https://doi.org/10.1002/rra.2565.","productDescription":"10 p.","startPage":"781","endPage":"791","numberOfPages":"10","ipdsId":"IP-034661","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":275268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275267,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2565"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.14,25.89 ], [ -125.14,49.11 ], [ -66.95,49.11 ], [ -66.95,25.89 ], [ -125.14,25.89 ] ] ] } } ] }","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"51ef97d8e4b0b09fbe58f161","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":478788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":478789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":478790,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046965,"text":"70046965 - 2013 - Relating Yellow Rail (Coturnicops noveboracensis) occupancy to habitat and landscape features in the context of fire","interactions":[],"lastModifiedDate":"2017-09-08T09:12:23","indexId":"70046965","displayToPublicDate":"2013-07-22T13:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Relating Yellow Rail (Coturnicops noveboracensis) occupancy to habitat and landscape features in the context of fire","docAbstract":"The Yellow Rail (Coturnicops noveboracensis) is a focal species of concern associated with shallowly flooded emergent wetlands, most commonly sedge (Carex spp.) meadows. Their populations are believed to be limited by loss or degradation of wetland habitat due to drainage, altered hydrology, and fire suppression, factors that have often resulted in encroachment of shrubs into sedge meadows and change in vegetative cover. Nocturnal call-playback surveys for Yellow Rails were conducted over 3 years at Seney National Wildlife Refuge in the Upper Peninsula of Michigan. Effects of habitat structure and landscape variables on the probability of use by Yellow Rails were assessed at two scales, representing a range of home range sizes, using generalized linear mixed models. At the 163-m (8-ha) scale, year with quadratic models of maximum and mean water depths best explained the data. At the 300-m (28-ha) scale, the best model contained year and time since last fire (≤ 1, 2–5, and > 10 years). The probability of use by Yellow Rails was 0.285 ± 0.132 (SE) for points burned 2-5 years ago, 0.253 ± 0.097 for points burned ≤ 1 year ago, and 0.028 ± 0.019 for points burned > 10 years ago. Habitat differences relative to fire history and comparisons between sites with and without Yellow Rails indicated that Yellow Rails used areas with the deepest litter and highest ground cover, and relatively low shrub cover and heights, as well as landscapes having greater sedge-grass cover and less lowland woody or upland cover types. Burning every 2-5 years appears to provide the litter, ground-level cover, and woody conditions attractive to Yellow Rails. Managers seeking to restore and sustain these wetland systems would benefit from further investigations into how flooding and fire create habitat conditions attractive to breeding Yellow Rails","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0209","usgsCitation":"Austin, J., and Buhl, D., 2013, Relating Yellow Rail (Coturnicops noveboracensis) occupancy to habitat and landscape features in the context of fire: Waterbirds, v. 36, no. 2, p. 199-213, https://doi.org/10.1675/063.036.0209.","productDescription":"15 p.","startPage":"199","endPage":"213","ipdsId":"IP-039078","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.036.0209","text":"Publisher Index Page"},{"id":275190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274839,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/pdf/10.1675/063.036.0209"},{"id":275184,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.036.0209"}],"country":"United States","state":"Michigan","otherGeospatial":"Seney National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.27,46.16 ], [ -86.27,46.77 ], [ -84.95,46.77 ], [ -84.95,46.16 ], [ -86.27,46.16 ] ] ] } } ] }","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ee465be4b00ffbed48f875","contributors":{"authors":[{"text":"Austin, Jane E.","contributorId":43094,"corporation":false,"usgs":true,"family":"Austin","given":"Jane E.","affiliations":[],"preferred":false,"id":480725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":480724,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047099,"text":"70047099 - 2013 - Hydrologic connectivity to streams increases nitrogen and phosphorus inputs and cycling in soils of created and natural floodplain wetlands","interactions":[],"lastModifiedDate":"2013-07-18T09:56:56","indexId":"70047099","displayToPublicDate":"2013-07-18T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity to streams increases nitrogen and phosphorus inputs and cycling in soils of created and natural floodplain wetlands","docAbstract":"Greater connectivity to stream surface water may result in greater inputs of allochthonous nutrients that could stimulate internal nitrogen (N) and phosphorus (P) cycling in natural, restored, and created riparian wetlands. This study investigated the effects of hydrologic connectivity to stream water on soil nutrient fluxes in plots (n = 20) located among four created and two natural freshwater wetlands of varying hydrology in the Piedmont physiographic province of Virginia. Surface water was slightly deeper; hydrologic inputs of sediment, sediment-N, and ammonium were greater; and soil net ammonification, N mineralization, and N turnover were greater in plots with stream water classified as their primary water source compared with plots with precipitation or groundwater as their primary water source. Soil water-filled pore space, inputs of nitrate, and soil net nitrification, P mineralization, and denitrification enzyme activity (DEA) were similar among plots. Soil ammonification, N mineralization, and N turnover rates increased with the loading rate of ammonium to the soil surface. Phosphorus mineralization and ammonification also increased with sedimentation and sediment-N loading rate. Nitrification flux and DEA were positively associated in these wetlands. In conclusion, hydrologic connectivity to stream water increased allochthonous inputs that stimulated soil N and P cycling and that likely led to greater retention of sediment and nutrients in created and natural wetlands. Our findings suggest that wetland creation and restoration projects should be designed to allow connectivity with stream water if the goal is to optimize the function of water quality improvement in a watershed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Crop Science Society of America","doi":"10.2134/jeq2012.0466","usgsCitation":"Wolf, K.L., Noe, G., and Ahn, C., 2013, Hydrologic connectivity to streams increases nitrogen and phosphorus inputs and cycling in soils of created and natural floodplain wetlands: Journal of Environmental Quality, v. 42, no. 4, p. 1245-1255, https://doi.org/10.2134/jeq2012.0466.","productDescription":"11 p.","startPage":"1245","endPage":"1255","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":275139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275138,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2012.0466"}],"volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-07-01","publicationStatus":"PW","scienceBaseUri":"51e90054e4b0e157e9e86ee2","contributors":{"authors":[{"text":"Wolf, Kristin L.","contributorId":92151,"corporation":false,"usgs":true,"family":"Wolf","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":481048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":38047,"corporation":false,"usgs":true,"family":"Ahn","given":"Changwoo","affiliations":[],"preferred":false,"id":481047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045453,"text":"70045453 - 2013 - The effects of Hurricane Irene and Tropical Storm Lee on the bed sediment geochemistry of U.S. Atlantic coastal rivers","interactions":[],"lastModifiedDate":"2016-11-30T13:15:40","indexId":"70045453","displayToPublicDate":"2013-07-16T12:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"The effects of Hurricane Irene and Tropical Storm Lee on the bed sediment geochemistry of U.S. Atlantic coastal rivers","docAbstract":"Hurricane Irene and Tropical Storm Lee, both of which made landfall in the U.S. between late August and early September 2011, generated record or near record water discharges in 41 coastal rivers between the North Carolina/South Carolina border and the U.S./Canadian border. Despite the discharge of substantial amounts of suspended sediment from many of these rivers, as well as the probable influx of substantial amounts of eroded material from the surrounding basins, the geochemical effects on the <63-µm fractions of the bed sediments appear relatively limited [<20% of the constituents determined (256 out of 1394)]. Based on surface area measurements, this lack of change occurred despite substantial alterations in both the grain size distribution and the composition of the bed sediments. The sediment-associated constituents which display both concentration increases and decreases include: total sulfur (TS), Hg, Ag, total organic carbon (TOC), total nitrogen (TN), Zn, Se, Co, Cu, Pb, As, Cr, and total carbon (TC). As a group, these constituents tend to be associated either with urbanization/elevated population densities and/or wastewater/solid sludge. The limited number of significant sediment-associated chemical changes that were detected probably resulted from two potential processes: (1) the flushing of in-stream land-use affected sediments that were replaced by baseline material more representative of local geology and/or soils (declining concentrations), and/or (2) the inclusion of more heavily affected material as a result of urban nonpoint-source runoff and/or releases from flooded treatment facilities (increasing concentrations). Published 2013. This article is a U.S. Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/hyp.9635","usgsCitation":"Horowitz, A.J., 2013, The effects of Hurricane Irene and Tropical Storm Lee on the bed sediment geochemistry of U.S. Atlantic coastal rivers: Hydrological Processes, v. 28, no. 3, p. 1250-1259, https://doi.org/10.1002/hyp.9635.","productDescription":"10 p.","startPage":"1250","endPage":"1259","numberOfPages":"10","ipdsId":"IP-038792","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":275071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275066,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.9635"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.32,33.93 ], [ -79.32,46.35 ], [ -67.08,46.35 ], [ -67.08,33.93 ], [ -79.32,33.93 ] ] ] } } ] }","volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-03","publicationStatus":"PW","scienceBaseUri":"51e65d59e4b017be1ba34740","contributors":{"authors":[{"text":"Horowitz, Arthur J. 0000-0002-3296-730X horowitz@usgs.gov","orcid":"https://orcid.org/0000-0002-3296-730X","contributorId":1400,"corporation":false,"usgs":true,"family":"Horowitz","given":"Arthur","email":"horowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477519,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047060,"text":"fs20133045 - 2013 - Culvert Analysis Program Graphical User Interface 1.0--A preprocessing and postprocessing tool for estimating flow through culvert","interactions":[],"lastModifiedDate":"2013-07-16T10:56:09","indexId":"fs20133045","displayToPublicDate":"2013-07-16T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3045","title":"Culvert Analysis Program Graphical User Interface 1.0--A preprocessing and postprocessing tool for estimating flow through culvert","docAbstract":"The peak discharge of a flood can be estimated from the elevation of high-water marks near the inlet and outlet of a culvert after the flood has occurred. This type of discharge estimate is called an “indirect measurement” because it relies on evidence left behind by the flood, such as high-water marks on trees or buildings. When combined with the cross-sectional geometry of the channel upstream from the culvert and the culvert size, shape, roughness, and orientation, the high-water marks define a water-surface profile that can be used to estimate the peak discharge by using the methods described by Bodhaine (1968). This type of measurement is in contrast to a “direct” measurement of discharge made during the flood where cross-sectional area is measured and a current meter or acoustic equipment is used to measure the water velocity. When a direct discharge measurement cannot be made at a streamgage during high flows because of logistics or safety reasons, an indirect measurement of a peak discharge is useful for defining the high-flow section of the stage-discharge relation (rating curve) at the streamgage, resulting in more accurate computation of high flows. The Culvert Analysis Program (CAP) (Fulford, 1998) is a command-line program written in Fortran for computing peak discharges and culvert rating surfaces or curves. CAP reads input data from a formatted text file and prints results to another formatted text file. Preparing and correctly formatting the input file may be time-consuming and prone to errors. This document describes the CAP graphical user interface (GUI)—a modern, cross-platform, menu-driven application that prepares the CAP input file, executes the program, and helps the user interpret the output","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133045","usgsCitation":"Bradley, D.N., 2013, Culvert Analysis Program Graphical User Interface 1.0--A preprocessing and postprocessing tool for estimating flow through culvert: U.S. Geological Survey Fact Sheet 2013-3045, 4 p., https://doi.org/10.3133/fs20133045.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":338,"text":"Hydrologic Analysis Software Support Program","active":false,"usgs":true}],"links":[{"id":275047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133045.gif"},{"id":275044,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3045/"},{"id":275045,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3045/pdf/fs2013-3045.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e65d4fe4b017be1ba34711","contributors":{"authors":[{"text":"Bradley, D. Nathan","contributorId":79776,"corporation":false,"usgs":true,"family":"Bradley","given":"D.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":480945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273326,"text":"70273326 - 2013 - Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes","interactions":[],"lastModifiedDate":"2026-01-06T15:40:05.656786","indexId":"70273326","displayToPublicDate":"2013-07-16T09:35:46","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18748,"text":"Enivronmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes","docAbstract":"

The diversity of ecosystems across boreal landscapes, successional changes after disturbance and complicated permafrost histories, present enormous challenges for assessing how vegetation, water and soil carbon may respond to climate change in boreal regions. To address this complexity, we used a chronosequence approach to assess changes in vegetation composition, water storage and soil organic carbon (SOC) stocks along successional gradients within four landscapes: (1) rocky uplands on ice-poor hillside colluvium, (2) silty uplands on extremely ice-rich loess, (3) gravelly–sandy lowlands on ice-poor eolian sand and (4) peaty–silty lowlands on thick ice-rich peat deposits over reworked lowland loess. In rocky uplands, after fire permafrost thawed rapidly due to low ice contents, soils became well drained and SOC stocks decreased slightly. In silty uplands, after fire permafrost persisted, soils remained saturated and SOC decreased slightly. In gravelly–sandy lowlands where permafrost persisted in drier forest soils, loss of deeper permafrost around lakes has allowed recent widespread drainage of lakes that has exposed limnic material with high SOC to aerobic decomposition. In peaty–silty lowlands, 2–4 m of thaw settlement led to fragmented drainage patterns in isolated thermokarst bogs and flooding of soils, and surface soils accumulated new bog peat. We were not able to detect SOC changes in deeper soils, however, due to high variability. Complicated soil stratigraphy revealed that permafrost has repeatedly aggraded and degraded in all landscapes during the Holocene, although in silty uplands only the upper permafrost was affected. Overall, permafrost thaw has led to the reorganization of vegetation, water storage and flow paths, and patterns of SOC accumulation. However, changes have occurred over different timescales among landscapes: over decades in rocky uplands and gravelly–sandy lowlands in response to fire and lake drainage, over decades to centuries in peaty–silty lowlands with a legacy of complicated Holocene changes, and over centuries in silty uplands where ice-rich soil and ecological recovery protect permafrost.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/8/3/035017","usgsCitation":"Jorgenson, M., Harden, J.W., Kanevskiy, M., O'Donnell, J., Wickland, K., Ewing, S., Manies, K.L., Zhuang, Q., Shur, Y., Striegl, R.G., and Koch, J.C., 2013, Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes: Enivronmental Research Letters, v. 8, no. 3, 035017, 13 p., https://doi.org/10.1088/1748-9326/8/3/035017.","productDescription":"035017, 13 p.","ipdsId":"IP-049320","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035017","text":"Publisher Index Page"},{"id":498357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -141.27773613760382,\n 67.4727665846045\n ],\n [\n -159.5068799426073,\n 67.4727665846045\n ],\n [\n -159.5068799426073,\n 61.63719004329275\n ],\n [\n -141.27773613760382,\n 61.63719004329275\n ],\n [\n -141.27773613760382,\n 67.4727665846045\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jorgenson, M.T.","contributorId":364861,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M.T.","affiliations":[{"id":13506,"text":"Alaska Ecoscience","active":true,"usgs":false}],"preferred":false,"id":953338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":953339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kanevskiy, M.","contributorId":364863,"corporation":false,"usgs":false,"family":"Kanevskiy","given":"M.","affiliations":[{"id":86994,"text":"Dept. of Civil and Environmental Engineering - University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Donnell, J.A.","contributorId":166674,"corporation":false,"usgs":false,"family":"O'Donnell","given":"J.A.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":953341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":206313,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":953342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ewing, S.","contributorId":364865,"corporation":false,"usgs":false,"family":"Ewing","given":"S.","affiliations":[{"id":86997,"text":"Dept. of Civil and Environmental Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhuang, Q.","contributorId":364866,"corporation":false,"usgs":false,"family":"Zhuang","given":"Q.","affiliations":[{"id":86998,"text":"Department of Earth & Atmospheric Sciences, Purdue University","active":true,"usgs":false}],"preferred":false,"id":953345,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shur, Y.","contributorId":364867,"corporation":false,"usgs":false,"family":"Shur","given":"Y.","affiliations":[{"id":86997,"text":"Dept. of Civil and Environmental Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953346,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":953347,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":953348,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70046719,"text":"sir20135127 - 2013 - Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California","interactions":[],"lastModifiedDate":"2013-07-11T11:57:26","indexId":"sir20135127","displayToPublicDate":"2013-07-11T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5127","title":"Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California","docAbstract":"Groundwater is the sole source of water supply in Cuyama Valley, a rural agricultural area in Santa Barbara County, California, in the southeasternmost part of the Coast Ranges of California. Continued groundwater withdrawals and associated water-resource management concerns have prompted an evaluation of the hydrogeology and water availability for the Cuyama Valley groundwater basin by the U.S. Geological Survey, in cooperation with the Water Agency Division of the Santa Barbara County Department of Public Works. As a part of the overall groundwater evaluation, this report documents the construction of a digital three-dimensional geologic framework model of the groundwater basin suitable for use within a numerical hydrologic-flow model. The report also includes an analysis of the spatial variability of lithology and grain size, which forms the geologic basis for estimating aquifer hydraulic properties.\n\nThe geologic framework was constructed as a digital representation of the interpreted geometry and thickness of the principal stratigraphic units within the Cuyama Valley groundwater basin, which include younger alluvium, older alluvium, and the Morales Formation, and underlying consolidated bedrock. The framework model was constructed by creating gridded surfaces representing the altitude of the top of each stratigraphic unit from various input data, including lithologic and electric logs from oil and gas wells and water wells, cross sections, and geologic maps.\n\nSediment grain-size data were analyzed in both two and three dimensions to help define textural variations in the Cuyama Valley groundwater basin and identify areas with similar geologic materials that potentially have fairly uniform hydraulic properties. Sediment grain size was used to construct three-dimensional textural models that employed simple interpolation between drill holes and two-dimensional textural models for each stratigraphic unit that incorporated spatial structure of the textural data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135127","usgsCitation":"Sweetkind, D., Faunt, C., and Hanson, R.T., 2013, Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5127, vii, 46 p., https://doi.org/10.3133/sir20135127.","productDescription":"vii, 46 p.","numberOfPages":"58","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135127.jpg"},{"id":274297,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5127/"},{"id":274298,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5127/pdf/sir2013-5127.pdf"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cea254e4b044272b8e88fa","contributors":{"authors":[{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":480088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":1491,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":480087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480086,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046724,"text":"sir20135108 - 2013 - Geology, water-quality, hydrology, and geomechanics of the Cuyama Valley groundwater basin, California, 2008--12","interactions":[],"lastModifiedDate":"2013-07-11T11:56:45","indexId":"sir20135108","displayToPublicDate":"2013-07-11T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5108","title":"Geology, water-quality, hydrology, and geomechanics of the Cuyama Valley groundwater basin, California, 2008--12","docAbstract":"To assess the water resources of the Cuyama Valley groundwater basin in Santa Barbara County, California, a series of cooperative studies were undertaken by the U.S. Geological Survey and the Santa Barbara County Water Agency. Between 2008 and 2012, geologic, water-quality, hydrologic and geomechanical data were collected from selected sites throughout the Cuyama Valley groundwater basin.\n\nGeologic data were collected from three multiple-well groundwater monitoring sites and included lithologic descriptions of the drill cuttings, borehole geophysical logs, temperature logs, as well as bulk density and sonic velocity measurements of whole-core samples.\n\nGeneralized lithologic characterization from the monitoring sites indicated the water-bearing units in the subsurface consist of unconsolidated to partly consolidated sand, gravel, silt, clay, and occasional cobbles within alluvial fan and stream deposits. Analysis of geophysical logs indicated alternating layers of finer- and coarser-grained material that range from less than 1 foot to more than 20 feet thick. On the basis of the geologic data collected, the principal water-bearing units beneath the monitoring-well sites were found to be composed of younger alluvium of Holocene age, older alluvium of Pleistocene age, and the Tertiary-Quaternary Morales Formation. At all three sites, the contact between the recent fill and younger alluvium is approximately 20 feet below land surface.\n\nWater-quality samples were collected from 12 monitoring wells, 27 domestic and supply wells, 2 springs, and 4 surface-water sites and were analyzed for a variety of constituents that differed by site, but, in general, included trace elements; nutrients; dissolved organic carbon; major and minor ions; silica; total dissolved solids; alkalinity; total arsenic and iron; arsenic, chromium, and iron species; and isotopic tracers, including the stable isotopes of hydrogen and oxygen, activities of tritium, and carbon-14 abundance.\n\nOf the 39 wells sampled, concentrations of total dissolved solids and sulfate from 38 and 37 well samples, respectively, were greater than the U.S. Environmental Protection Agency’s secondary maximum contaminant levels. Concentrations greater than the maximum contaminant levels for nitrate were observed in five wells and were observed for arsenic in four wells.\n\nDifferences in the stable-isotopic values of hydrogen and oxygen among groundwater samples indicated that water does not move freely between different formations or between different zones within the Cuyama Valley. Variations in isotopic composition indicated that recharge is derived from several different sources. The age of the groundwater, expressed as time since recharge, was between 600 and 38,000 years before present. Detectable concentrations of tritium indicated that younger water, recharged since the early 1950s, is present in parts of the groundwater basin.\n\nHydrologic data were collected from 12 monitoring wells, 56 domestic and supply wells, 3 surface-water sites, and 4 rainfall-gaging stations. Rainfall in the valley averaged about 8 inches annually, whereas the mountains to the south received between 12 and 19 inches. Stream discharge records showed seasonal variability in surface-water flows ranging from no-flow to over 1,500 cubic feet per second. During periods when inflow to the valley exceeds outflow, there is potential recharge from stream losses to the groundwater system\n\nWater-level records included manual quarterly depth-to-water measurements collected from 68 wells, time-series data collected from 20 of those wells, and historic water levels from 16 wells. Hydrographs of the manual measurements showed declining water levels in 16 wells, mostly in the South-Main zone, and rising water levels in 14 wells, mostly in the Southern Ventucopa Uplands. Time-series hydrographs showed daily, seasonal, and longer-term effects associated with local pumping. Water-level data from the multiple-well monitoring sites indicated seasonal fluctuations as great as 80 feet and water-level differences between aquifers as great as 40 feet during peak pumping season. Hydrographs from the multiple-well groundwater monitoring sites showed vertical hydraulic gradients were upward during the winter months and downward during the irrigation season. Historic hydrographs showed water-level declines in the Southern-Main, Western Basin, Caliente Northern-Main, and Southern Sierra Madre zone ranging from 1 to 7 feet per year. Hydrographs of wells in the Southern Ventucopa Uplands zone showed several years with marked increases in water levels that corresponded to increased precipitation in the Cuyama Valley.\n\nInvestigation of hydraulic properties included hydraulic conductivity and transmissivity estimated from aquifer tests performed on 63 wells. Estimates of horizontal hydraulic conductivity ranged from about 1.5 to 28 feet per day and decreased with depth. The median estimated hydraulic conductivity for the older alluvium was about five times that estimated for the Morales Formation. Estimates of transmissivity ranged from 560 to 163,400 gallons per day per foot and decreased with depth. The median estimated transmissivity for the younger alluvium was about three times that estimated for the older alluvium.\n\nGeomechanical analysis included land-surface elevation changes at five continuously operating global positioning systems (GPS) and land-subsidence detection at five interferometric synthetic aperture radar (InSAR) reference points. Analysis of data collected from continuously operating GPS stations showed the mountains to the south and west moved upward about 1 millimeter (mm) annually, whereas the station in the center of the Southern-Main zone moved downward more than 7 mm annually, indicating subsidence. It is likely that this subsidence is inelastic (permanent) deformation and indicates reduced storage capacity in the aquifer sediments. Analysis of InSAR data showed local and regional changes that appeared to be dependent, in part, on the time span of the interferogram, seasonal variations in pumping, and tectonic uplift. Long-term InSAR time series showed a total maximum detected subsidence rate of approximately 12 mm per year at one location and approximately 8 mm per year at a second location, while short-term InSAR time series showed maximum subsidence of about 15 mm at one location and localized maximum uplift of about 10 mm at another location.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135108","collaboration":"Prepared in cooperation with the County of Santa Barbara","usgsCitation":"Everett, R., Gibbs, D.R., Hanson, R.T., Sweetkind, D., Brandt, J.T., Falk, S.E., and Harich, C.R., 2013, Geology, water-quality, hydrology, and geomechanics of the Cuyama Valley groundwater basin, California, 2008--12: U.S. Geological Survey Scientific Investigations Report 2013-5108, x, 62 p.; Tables, https://doi.org/10.3133/sir20135108.","productDescription":"x, 62 p.; Tables","numberOfPages":"76","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135108.jpg"},{"id":274316,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5108/pdf/sir20135108_tables.xlsx"},{"id":274314,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5108/"},{"id":274315,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5108/pdf/sir2013-5108.pdf"}],"country":"United States","state":"California","otherGeospatial":"Cuyama Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.833333,34.666667 ], [ -119.833333,35.1 ], [ -119.166667,35.1 ], [ -119.166667,34.666667 ], [ -119.833333,34.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d6e4b0ca184833899f","contributors":{"authors":[{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, Dennis R.","contributorId":21050,"corporation":false,"usgs":true,"family":"Gibbs","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, Donald S.","contributorId":18732,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[],"preferred":false,"id":480107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Justin T. 0000-0002-9397-6824","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":28326,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":480109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Sarah E. sefalk@usgs.gov","contributorId":1056,"corporation":false,"usgs":true,"family":"Falk","given":"Sarah","email":"sefalk@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":480105,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harich, Christopher R. charich@usgs.gov","contributorId":3917,"corporation":false,"usgs":true,"family":"Harich","given":"Christopher","email":"charich@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":480106,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046968,"text":"ofr20131135 - 2013 - Hydrologic conditions in New Hampshire and Vermont, water year 2011","interactions":[],"lastModifiedDate":"2013-07-11T06:55:38","indexId":"ofr20131135","displayToPublicDate":"2013-07-11T06:45:07","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1135","title":"Hydrologic conditions in New Hampshire and Vermont, water year 2011","docAbstract":"Record-high hydrologic conditions in New Hampshire and Vermont occurred during water year 2011, according to data from 125 streamgages and lake gaging stations, 27 creststage gages, and 41 groundwater wells. Annual runoff for the 2011 water year was the sixth highest on record for New Hampshire and the highest on record for Vermont on the basis of a 111-year reference period (water years 1901–2011). Groundwater levels for the 2011 water year were generally normal in New Hampshire and normal to above normal in Vermont. Record flooding occurred in April, May, and August of water year 2011. Peak-of-record streamflows were recorded at 38 streamgages, 25 of which had more than 10 years of record. Flooding in April 2011 was widespread in parts of northern New Hampshire and Vermont; peak-of-record streamflows were recorded at nine streamgages. Flash flooding in May 2011 was isolated to central and northeastern Vermont; peakof- record streamflows were recorded at five streamgages. Devastating flooding in August 2011 occurred throughout most of Vermont and in parts of New Hampshire as a result of the heavy rains associated with Tropical Storm Irene. Peak-ofrecord streamflows were recorded at 24 streamgages.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131135","collaboration":"Prepared in cooperation with the States of New Hampshire and Vermont and with other agencies","usgsCitation":"Kiah, R.G., Jarvis, J.D., Hegemann, R.F., Hilgendorf, G.S., and Ward, S.L., 2013, Hydrologic conditions in New Hampshire and Vermont, water year 2011: U.S. Geological Survey Open-File Report 2013-1135, vi, 38 p., https://doi.org/10.3133/ofr20131135.","productDescription":"vi, 38 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":274842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131135.gif"},{"id":274840,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1135/"},{"id":274841,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1135/pdf/ofr2013-1135_report_508.pdf"}],"country":"United States","state":"New Hampshire;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.4305,42.7268 ], [ -73.4305,45.3055 ], [ -70.6014,45.3055 ], [ -70.6014,42.7268 ], [ -73.4305,42.7268 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dfc5dce4b0d332bf22f347","contributors":{"authors":[{"text":"Kiah, Richard G. 0000-0001-6236-2507 rkiah@usgs.gov","orcid":"https://orcid.org/0000-0001-6236-2507","contributorId":2637,"corporation":false,"usgs":true,"family":"Kiah","given":"Richard","email":"rkiah@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarvis, Jason D. jdjarvis@usgs.gov","contributorId":5146,"corporation":false,"usgs":true,"family":"Jarvis","given":"Jason","email":"jdjarvis@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":480731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hegemann, Robert F. hegemann@usgs.gov","contributorId":5145,"corporation":false,"usgs":true,"family":"Hegemann","given":"Robert","email":"hegemann@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":480730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hilgendorf, Gregory S. gshilgen@usgs.gov","contributorId":5144,"corporation":false,"usgs":true,"family":"Hilgendorf","given":"Gregory","email":"gshilgen@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":480729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, Sanborn L. sward@usgs.gov","contributorId":5147,"corporation":false,"usgs":true,"family":"Ward","given":"Sanborn","email":"sward@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046952,"text":"sir20135060 - 2013 - The simulated effects of wastewater-management actions on the hydrologic system and nitrogen-loading rates to wells and ecological receptors, Popponesset Bay Watershed, Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2013-07-10T10:59:31","indexId":"sir20135060","displayToPublicDate":"2013-07-10T10:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5060","title":"The simulated effects of wastewater-management actions on the hydrologic system and nitrogen-loading rates to wells and ecological receptors, Popponesset Bay Watershed, Cape Cod, Massachusetts","docAbstract":"The discharge of excess nitrogen into Popponesset Bay, an estuarine system on western Cape Cod, has resulted in eutrophication and the loss of eel grass habitat within the estuaries. Septic-system return flow in residential areas within the watershed is the primary source of nitrogen. Total Maximum Daily Loads (TMDLs) for nitrogen have been assigned to the six estuaries that compose the system, and local communities are in the process of implementing the TMDLs by the partial sewering, treatment, and disposal of treated wastewater at wastewater-treatment facilities (WTFs). Loads of waste-derived nitrogen from both current (1997–2001) and future sources can be estimated implicitly from parcel-scale water-use data and recharge areas delineated by a groundwater-flow model. These loads are referred to as “instantaneous” loads because it is assumed that the nitrogen from surface sources is delivered to receptors instantaneously and that there is no traveltime through the aquifer. The use of a solute-transport model to explicitly simulate the transport of mass through the aquifer from sources to receptors can improve implementation of TMDLs by (1) accounting for traveltime through the aquifer, (2) avoiding limitations associated with the estimation of loads from static recharge areas, (3) accounting more accurately for the effect of surface waters on nitrogen loads, and (4) determining the response of waste-derived nitrogen loads to potential wastewater-management actions.\n\nThe load of nitrogen to Popponesset Bay on western Cape Cod, which was estimated by using current sources as input to a solute-transport model based on a steady-state flow model, is about 50 percent of the instantaneous load after about 7 years of transport (loads to estuary are equal to loads discharged from sources); this estimate is consistent with simulated advective traveltimes in the aquifer, which have a median of 5 years. Model-calculated loads originating from recharge areas reach 80 percent of the instantaneous load within 30 years; this result indicates that loads estimated from recharge areas likely are reasonable for estimating current instantaneous loads. However, recharge areas are assumed to remain static as stresses and hydrologic conditions change in response to wastewater-management actions.\n\nSewering of the Popponesset Bay watershed would not change hydraulic gradients and recharge areas to receptors substantially; however, disposal of wastewater from treatment facilities can change hydraulic gradients and recharge areas to nearby receptors, particularly if the facilities are near the boundary of the recharge area. In these cases, nitrogen loads implicitly estimated by using current recharge areas that do not accurately represent future hydraulic stresses can differ significantly from loads estimated with recharge areas that do represent those stresses. Nitrogen loads to two estuaries in the Popponesset Bay system estimated by using recharge areas delineated for future hydrologic conditions and nitrogen sources were about 3 and 9 times higher than loads estimated by using current recharge areas; for this reason, reliance on static recharge areas can present limitations for effective TMDL implementation by means of a hypothetical, but realistic, wastewater-management action. A solute-transport model explicitly represents nitrogen transport from surface sources and does not rely on the use of recharge areas; because changes in gradients resulting from wastewater-management actions are accounted for in transport simulations, they provide more reliable predictions of future nitrogen loads.\n\nExplicitly representing the mass transport of nitrogen can better account for the mechanisms by which nitrogen enters the estuary and improve estimates of the attenuation of nitrogen concentrations in fresh surface waters. Water and associated nitrogen can enter an estuary as either direct groundwater discharge or as surface-water inflow. Two estuaries in the Popponesset Bay watershed receive surface-water inflows: Shoestring Bay receives water from the Santuit River, and the tidal reach of the Mashpee River receives water (and associated nitrogen) from the nontidal reach of the Mashpee River. Much of the water discharging into these streams passes through ponds prior to discharge. The additional attenuation of nitrogen in groundwater that has passed through a pond and discharged into a stream prior to entering an estuary is about 3 kilograms per day.\n\nAdvective-transport times in the aquifer generally are small—median traveltimes are about 4.5 years—and nitrogen loads at receptors respond quickly to wastewater-management actions. The simulated decreases in nitrogen loads were 50 and 80 percent of the total decreases within 5 and 15 years, respectively, after full sewering of the watershed and within 3 and 10 years, for sequential phases of partial sewering and disposal at WTFs. The results show that solute-transport models can be used to assess the responses of nitrogen loads to wastewater-management actions, and that loads at ecological receptors (receiving waters—ponds, streams or coastal waters—that support ecosystems) will respond within a few years to those actions.\n\nThe responses vary for individual receptors as functions of hydrologic setting, traveltimes in the aquifer, and the unique set of nitrogen sources representing current and future wastewater-disposal actions within recharge areas. Changes in nitrogen loads from groundwater discharge to individual estuaries range from a decrease of 90 percent to an increase of 80 percent following sequential phases of hypothetical but realistic wastewater-management actions. The ability to explicitly represent the transport of mass through the aquifer allows for the evaluation of complex responses that include the effects of surface waters, traveltimes, and complex changes in sources. Most of the simulated decreases in nitrogen loads to Shoestring Bay and the tidal portion of the Mashpee River, 79 and 69 percent, respectively, were caused by decreases in the nitrogen loads from surface-water inflow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135060","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Walter, D.A., 2013, The simulated effects of wastewater-management actions on the hydrologic system and nitrogen-loading rates to wells and ecological receptors, Popponesset Bay Watershed, Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2013-5060, vii, 62 p., https://doi.org/10.3133/sir20135060.","productDescription":"vii, 62 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":274823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135060.jpg"},{"id":274821,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5060/"},{"id":274822,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5060/pdf/sir2013-5060_report.pdf"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod;Popponesset Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.75,41.5 ], [ -70.75,42.083333 ], [ -69.833333,42.083333 ], [ -69.833333,41.5 ], [ -70.75,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7457e4b0d24b0f89c66e","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480671,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046947,"text":"sir20135118 - 2013 - Hydrologic and geochemical characterization of the Santa Rosa Plain watershed, Sonoma County, California","interactions":[],"lastModifiedDate":"2013-07-10T09:09:22","indexId":"sir20135118","displayToPublicDate":"2013-07-10T09:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5118","title":"Hydrologic and geochemical characterization of the Santa Rosa Plain watershed, Sonoma County, California","docAbstract":"The Santa Rosa Plain is home to approximately half of the population of Sonoma County, California, and faces growth in population and demand for water. Water managers are confronted with the challenge of meeting the increasing water demand with a combination of water sources, including local groundwater, whose future availability could be uncertain. To meet this challenge, water managers are seeking to acquire the knowledge and tools needed to understand the likely effects of future groundwater development in the Santa Rosa Plain and to identify efficient strategies for surface- and groundwater management that will ensure the long-term viability of the water supply. The U.S. Geological Survey, in cooperation with the Sonoma County Water Agency and other stakeholders in the area (cities of Cotati, Rohnert Park, Santa Rosa, and Sebastopol, town of Windsor, Cal-American Water Company, and the County of Sonoma), undertook this study to characterize the hydrology of the Santa Rosa Plain and to develop tools to better understand and manage the groundwater system.\n\nThe objectives of the study are: (1) to develop an updated assessment of the hydrogeology and geochemistry of the Santa Rosa Plain; (2) to develop a fully coupled surface-water and groundwater-flow model for the Santa Rosa Plain watershed; and (3) to evaluate the potential hydrologic effects of alternative groundwater-management strategies for the basin. The purpose of this report is to describe the surface-water and groundwater hydrology, hydrogeology, and water-quality characteristics of the Santa Rosa Plain watershed and to develop a conceptual model of the hydrologic system in support of the first objective. The results from completing the second and third objectives will be described in a separate report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135118","collaboration":"Prepared in cooperation with the Sonoma County Water Agency","usgsCitation":"Nishikawa, T., 2013, Hydrologic and geochemical characterization of the Santa Rosa Plain watershed, Sonoma County, California: U.S. Geological Survey Scientific Investigations Report 2013-5118, xvii, 178 p.; Appendix A, https://doi.org/10.3133/sir20135118.","productDescription":"xvii, 178 p.; Appendix A","numberOfPages":"199","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":274817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135118.jpg"},{"id":274815,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5118/pdf/sir20135118.pdf"},{"id":274816,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5118/sir20135118_appA.xls"},{"id":274814,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5118/"}],"country":"United States","state":"California","county":"Sonoma County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.534,38.0695 ], [ -123.534,38.8527 ], [ -122.3497,38.8527 ], [ -122.3497,38.0695 ], [ -123.534,38.0695 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51de7456e4b0d24b0f89c66a","contributors":{"authors":[{"text":"Nishikawa, Tracy 0000-0002-7348-3838 tnish@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-3838","contributorId":1515,"corporation":false,"usgs":true,"family":"Nishikawa","given":"Tracy","email":"tnish@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046781,"text":"sim3262 - 2013 - Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013","interactions":[],"lastModifiedDate":"2013-07-05T11:58:23","indexId":"sim3262","displayToPublicDate":"2013-07-05T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3262","title":"Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013","docAbstract":"Digital flood-inundation maps for a 4.1-mile reach of the Saddle River from 0.6 miles downstream from the New Jersey-New York State boundary in Upper Saddle River Borough to 0.2 miles downstream from the East Allendale Road bridge in Saddle River Borough, New Jersey, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to select water levels (stages) at the USGS streamgage 01390450, Saddle River at Upper Saddle River, New Jersey. Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/nwis/uv?site_no=01390450. The National Weather Service (NWS) forecasts flood hydrographs at many places that are often collocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relations (in effect March 2013) at USGS streamgage 01390450, Saddle River at Upper Saddle River, New Jersey, and documented high-water marks from recent floods. The hydraulic model was then used to determine eight water-surface profiles for flood stages at 0.5-foot (ft) intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from bankfull, 0.5 ft below NWS Action Stage, to the upper extent of the stage-discharge rating which is approximately 1 ft higher than the highest recorded water level at the streamgage. Action Stage is the stage which when reached by a rising stream the NWS or a partner needs to take some type of mitigation action in preparation for possible significant hydrologic activity. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84 ft) digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps along with real-time streamflow data and information regarding current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3262","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Hoppe, H.L., 2013, Flood-inundation maps for the Saddle River from Upper Saddle River Borough to Saddle River Borough, New Jersey, 2013: U.S. Geological Survey Scientific Investigations Map 3262, Pamphlet: vi, 8 p.; Maps: 8 Sheets: 17 x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3262.","productDescription":"Pamphlet: vi, 8 p.; Maps: 8 Sheets: 17 x 22 inches; Downloads Directory","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":274498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3262.png"},{"id":274490,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_40.pdf"},{"id":274488,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3262/downloads/sim3262-pamphlet.pdf"},{"id":274489,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_30.pdf"},{"id":274491,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_35.pdf"},{"id":274492,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_45.pdf"},{"id":274493,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_50.pdf"},{"id":274494,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_55.pdf"},{"id":274495,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_60.pdf"},{"id":274496,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3262/downloads/map_sheets/sim3262_65.pdf"},{"id":274497,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3262/downloads"},{"id":274499,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3262"}],"country":"United States","state":"New Jersey","otherGeospatial":"Saddle River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.120833,41.025 ], [ -74.120833,41.083333 ], [ -74.063889,41.083333 ], [ -74.063889,41.025 ], [ -74.120833,41.025 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d7dcd4e4b0b0351701e17b","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoppe, Heidi L. hhoppe@usgs.gov","contributorId":1513,"corporation":false,"usgs":true,"family":"Hoppe","given":"Heidi","email":"hhoppe@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":480241,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046774,"text":"sir20135018 - 2013 - Hydrologic drought of water year 2011 compared to four major drought periods of the 20th century in Oklahoma","interactions":[],"lastModifiedDate":"2020-02-26T17:24:06","indexId":"sir20135018","displayToPublicDate":"2013-07-02T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5018","title":"Hydrologic drought of water year 2011 compared to four major drought periods of the 20th century in Oklahoma","docAbstract":"Water year 2011 (October 1, 2010, through September 30, 2011) was a year of hydrologic drought (based on streamflow) in Oklahoma and the second-driest year to date (based on precipitation) since 1925. Drought conditions worsened substantially in the summer, with the highest monthly average temperature record for all States being broken by Oklahoma in July (89.1 degrees Fahrenheit), June being the second hottest and August being the hottest on record for those months for the State since 1895. Drought conditions continued into the fall, with all of the State continuing to be in severe to exceptional drought through the end of September. In addition to effects on streamflow and reservoirs, the 2011 drought increased damage from wildfires, led to declarations of states of emergency, water-use restrictions, and outdoor burning bans; caused at least $2 billion of losses in the agricultural sector and higher prices for food and other agricultural products; caused losses of tourism and wildlife; reduced hydropower generation; and lowered groundwater levels in State aquifers.\n\nThe U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, conducted an investigation to compare the severity of the 2011 drought with four previous major hydrologic drought periods during the 20th century – water years 1929–41, 1952–56, 1961–72, and 1976–81.\n\nThe period of water years 1925–2011 was selected as the period of record because few continuous record streamflow-gaging stations existed before 1925, and gaps in time existed where no streamflow-gaging stations were operated before 1925. In water year 2011, statewide annual precipitation was the 2d lowest, statewide annual streamflow was 16th lowest, and statewide annual runoff was 42d lowest of those 87 years of record.\n\nAnnual area-averaged precipitation totals by the nine National Weather Service climate divisions from water year 2011 were compared to those during four previous major hydrologic drought periods to show how precipitation deficits in Oklahoma varied by region. The nine climate divisions in Oklahoma had precipitation in water year 2011 ranging from 43 to 76 percent of normal annual precipitation, with the Northeast Climate Division having the closest to normal precipitation and the Southwest Climate Division having the greatest percentage of annual deficit. Based on precipitation amounts, water year 2011 ranked as the second driest of the 1925–2011 period, being exceeded only in one year of the 1952 to 1956 drought period.\n\nRegional streamflow patterns for water year 2011 indicate that streamflow in the Arkansas-White-Red water resources region, which includes all of Oklahoma, was relatively large, being only the 26th lowest since 1930, primarily because of normal or above-normal streamflow in the northern part of the region. Twelve long-term streamflow-gaging stations with periods of record ranging from 67 to 83 years were selected to show how streamflow deficits varied by region in Oklahoma. Statewide, streamflow in water year 2011 was greater than streamflows measured in years during the drought periods of 1929–41, 1952–56, 1961–72, and 1976–81. The hydrologic drought worsened going from the northeast toward the southwest in Oklahoma, ranging from 140 percent (above normal streamflow) in the northeast, to 13 percent of normal streamflow in southwestern Oklahoma. The relatively low streamflow in 2011 resulted in 83.3 percent of the statewide conservation storage being available at the end of the water year in major reservoirs, similar to conservation storage in the preceding severe drought year of 2006. The ranking of streamflow as the 16th smallest for the 1925–2011 period, despite precipitation being ranked the 2d smallest, may have been caused, in part, by the relatively large streamflow in northeastern Oklahoma during water year 2011.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135018","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Shivers, M.J., and Andrews, W.J., 2013, Hydrologic drought of water year 2011 compared to four major drought periods of the 20th century in Oklahoma: U.S. Geological Survey Scientific Investigations Report 2013-5018, vii, 52 p., https://doi.org/10.3133/sir20135018.","productDescription":"vii, 52 p.","numberOfPages":"63","additionalOnlineFiles":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":274448,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3e859e4b09630fbdc5256","contributors":{"authors":[{"text":"Shivers, Molly J. mshivers@usgs.gov","contributorId":4062,"corporation":false,"usgs":true,"family":"Shivers","given":"Molly","email":"mshivers@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480209,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048586,"text":"70048586 - 2013 - Ecosystem services: developing sustainable management paradigms based on wetland functions and processes","interactions":[],"lastModifiedDate":"2017-10-20T10:16:52","indexId":"70048586","displayToPublicDate":"2013-07-01T14:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecosystem services: developing sustainable management paradigms based on wetland functions and processes","docAbstract":"In the late nineteenth century and twentieth century, there was considerable interest and activity to develop the United States for agricultural, mining, and many other purposes to improve the quality of human life standards and prosperity. Most of the work to support this development was focused along disciplinary lines with little attention focused on ecosystem service trade-offs or synergisms, especially those that transcended boundaries of scientific disciplines and specific interest groups. Concurrently, human population size has increased substantially and its use of ecosystem services has increased more than five-fold over just the past century. Consequently, the contemporary landscape has been highly modified for human use, leaving behind a fragmented landscape where basic ecosystem functions and processes have been broadly altered. Over this period, climate change also interacted with other anthropogenic effects, resulting in modern environmental problems having a complexity that is without historical precedent. The challenge before the scientific community is to develop new science paradigms that integrate relevant scientific disciplines to properly frame and evaluate modern environmental problems in a systems-type approach to better inform the decision-making process. Wetland science is a relatively new discipline that grew out of the conservation movement of the early twentieth century. In the United States, most of the conservation attention in the earlier days was on wildlife, but a growing human awareness of the importance of the environment led to the passage of the National Environmental Policy Act in 1969. Concurrently, there was a broadening interest in conservation science, and the scientific study of wetlands gradually gained acceptance as a scientific discipline. Pioneering wetland scientists became formally organized when they formed The Society of Wetland Scientists in 1980 and established a publication outlet to share wetland research findings. In comparison to older and more traditional scientific disciplines, the wetland sciences may be better equipped to tackle today’s complex problems. Since its emergence as a scientific discipline, the study of wetlands has frequently required interdisciplinary and integrated approaches. This interdisciplinary/integrated approach is largely the result of the fact that wetlands cannot be studied in isolation of upland areas that contribute surface and subsurface water, solutes, sediments, and nutrients into wetland basins. However, challenges still remain in thoroughly integrating the wetland sciences with scientific disciplines involved in upland studies, especially those involved with agriculture, development, and other land-conversion activities that influence wetland hydrology, chemistry, and sedimentation. One way to facilitate this integration is to develop an understanding of how human activities affect wetland ecosystem services, especially the trade-offs and synergisms that occur when land-use changes are made. Used in this context, an understanding of the real costs of managing for a particular ecosystem service or groups of services can be determined and quantified in terms of reduced delivery of other services and in overall sustainability of the wetland and the landscapes that support them. In this chapter, we discuss some of the more salient aspects of a few common wetland types to give the reader some background on the diversity of functions that wetlands perform and the specific ecosystem services they provide to society. Wetlands are among the most complex ecosystems on the planet, and it is often difficult to communicate to a diverse public all of the positive services wetlands provide to mankind. Our goal is to help the reader develop an understanding that management options can be approached as societal choices where decisions can be made within a spatial and temporal context to identify trade-offs, synergies, and effects on long-term sustainability of wetland ecosystems. This will be especially relevant as we move into alternate climate futures where our portfolio of management options for mitigating damage to ecosystem function or detrimental cascading effects must be diverse and effective.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wetland Techniques","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-94-007-6907-6_5","isbn":"9789400769069","usgsCitation":"Euliss, N.H., Mushet, D.M., Smith, L., Conner, W.H., Burkett, V.R., Wilcox, D.A., Hester, M.W., and Zheng, H., 2013, Ecosystem services: developing sustainable management paradigms based on wetland functions and processes, chap. of Wetland Techniques, v. 3, p. 181-227, https://doi.org/10.1007/978-94-007-6907-6_5.","productDescription":"47 p.","startPage":"181","endPage":"227","ipdsId":"IP-035387","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":278853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278852,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/978-94-007-6907-6_5"}],"country":"United States","volume":"3","noUsgsAuthors":false,"publicationDate":"2013-08-03","publicationStatus":"PW","scienceBaseUri":"527a2181e4b051792d019509","contributors":{"authors":[{"text":"Euliss, Ned H. Jr. ceuliss@usgs.gov","contributorId":2916,"corporation":false,"usgs":true,"family":"Euliss","given":"Ned","suffix":"Jr.","email":"ceuliss@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":false,"id":485137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":485143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":485141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burkett, Virginia R. 0000-0003-4746-2862","orcid":"https://orcid.org/0000-0003-4746-2862","contributorId":80229,"corporation":false,"usgs":true,"family":"Burkett","given":"Virginia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilcox, Douglas A.","contributorId":36880,"corporation":false,"usgs":true,"family":"Wilcox","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485139,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hester, Mark W.","contributorId":9566,"corporation":false,"usgs":true,"family":"Hester","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zheng, Haochi","contributorId":61333,"corporation":false,"usgs":true,"family":"Zheng","given":"Haochi","affiliations":[],"preferred":false,"id":485140,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70045485,"text":"70045485 - 2013 - Impacts on groundwater recharge areas of megacity pumping: analysis of potential contamination of Kolkata, India, water supply","interactions":[],"lastModifiedDate":"2016-12-14T11:28:40","indexId":"70045485","displayToPublicDate":"2013-07-01T12:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Impacts on groundwater recharge areas of megacity pumping: analysis of potential contamination of Kolkata, India, water supply","docAbstract":"Water supply to the world's megacities is a problem of quantity and quality that will be a priority in the coming decades. Heavy pumping of groundwater beneath these urban centres, particularly in regions with low natural topographic gradients, such as deltas and floodplains, can fundamentally alter the hydrological system. These changes affect recharge area locations, which may shift closer to the city centre than before development, thereby increasing the potential for contamination. Hydrogeological simulation analysis allows evaluation of the impact on past, present and future pumping for the region of Kolkata, India, on recharge area locations in an aquifer that supplies water to over 13 million people. Relocated recharge areas are compared with known surface contamination sources, with a focus on sustainable management of this urban groundwater resource. The study highlights the impacts of pumping on water sources for long-term development of stressed city aquifers and for future water supply in deltaic and floodplain regions of the world.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2013.813946","usgsCitation":"Sahu, P., Michael, H., Voss, C.I., and Sikdar, P.K., 2013, Impacts on groundwater recharge areas of megacity pumping: analysis of potential contamination of Kolkata, India, water supply: Hydrological Sciences Journal, v. 58, no. 6, p. 1340-1360, https://doi.org/10.1080/02626667.2013.813946.","productDescription":"21 p.","startPage":"1340","endPage":"1360","numberOfPages":"21","ipdsId":"IP-045041","costCenters":[{"id":439,"text":"National Research Program WR","active":false,"usgs":true}],"links":[{"id":473708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2013.813946","text":"Publisher Index Page"},{"id":276124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276121,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02626667.2013.813946"}],"country":"India","state":"West Bengal","city":"Kolkata","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 88.193344,22.343566 ], [ 88.193344,23.008332 ], [ 88.542767,23.008332 ], [ 88.542767,22.343566 ], [ 88.193344,22.343566 ] ] ] } } ] }","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-12","publicationStatus":"PW","scienceBaseUri":"52021ae6e4b0e21cafa49c74","contributors":{"authors":[{"text":"Sahu, Paulami","contributorId":101553,"corporation":false,"usgs":true,"family":"Sahu","given":"Paulami","email":"","affiliations":[],"preferred":false,"id":477600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, Holly A.","contributorId":45998,"corporation":false,"usgs":true,"family":"Michael","given":"Holly A.","affiliations":[],"preferred":false,"id":477598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sikdar, Pradip K.","contributorId":89436,"corporation":false,"usgs":true,"family":"Sikdar","given":"Pradip","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":477599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70057585,"text":"70057585 - 2013 - Rivermouth alteration of agricultural impacts on consumer tissue δ15N","interactions":[],"lastModifiedDate":"2013-11-26T12:13:43","indexId":"70057585","displayToPublicDate":"2013-07-01T12:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Rivermouth alteration of agricultural impacts on consumer tissue δ15N","docAbstract":"Terrestrial agricultural activities strongly influence riverine nitrogen (N) dynamics, which is reflected in the δ15N of riverine consumer tissues. However, processes within aquatic ecosystems also influence consumer tissue δ15N. As aquatic processes become more important terrestrial inputs may become a weaker predictor of consumer tissue δ15N. In a previous study, this terrestrial-consumer tissue δ15N connection was very strong at river sites, but was disrupted by processes occurring in rivermouths (the ‘rivermouth effect’). This suggested that watershed indicators of N loading might be accurate in riverine settings, but could be inaccurate when considering N loading to the nearshore of large lakes and oceans. In this study, the rivermouth effect was examined on twenty-five sites spread across the Laurentian Great Lakes. Relationships between agriculture and consumer tissue δ15N occurred in both upstream rivers and at the outlets where rivermouths connect to the nearshore zone, but agriculture explained less variation and had a weaker effect at the outlet. These results suggest that rivermouths may sometimes be significant sources or sinks of N, which would cause N loading estimates to the nearshore zone that are typically made at discharge gages further upstream to be inaccurate. Identifying definitively the controls over the rivermouth effect on N loading (and other nutrients) will require integration of biogeochemical and hydrologic models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0069313","usgsCitation":"Larson, J.H., Richardson, W.B., Vallazza, J.M., and Nelson, J., 2013, Rivermouth alteration of agricultural impacts on consumer tissue δ15N: PLoS ONE, v. 8, no. 7, 8 p., https://doi.org/10.1371/journal.pone.0069313.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-042888","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":473709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069313","text":"Publisher Index Page"},{"id":279800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279645,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069313"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.38 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.38 ], [ -92.11,41.38 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-31","publicationStatus":"PW","scienceBaseUri":"5295d12ae4b0becc369c8c95","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":486821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":486819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jonathan M. jvallazza@usgs.gov","contributorId":3651,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jonathan","email":"jvallazza@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":486820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, J. C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":459,"corporation":false,"usgs":true,"family":"Nelson","given":"J. C.","email":"jcnelson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":486818,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046341,"text":"cir1390 - 2013 - Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","interactions":[],"lastModifiedDate":"2013-07-01T15:40:19","indexId":"cir1390","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1390","title":"Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","docAbstract":"n late October 2012, Hurricane Sandy came ashore during a spring high tide on the New Jersey coastline, delivering hurricane-force winds, storm tides exceeding 19 feet, driving rain, and plummeting temperatures. Hurricane Sandy resulted in 72 direct fatalities in the mid-Atlantic and northeastern United States, and widespread and substantial physical, environmental, ecological, social, and economic impacts estimated at near $50 billion. Before the landfall of Hurricane Sandy, the USGS provided forecasts of potential coastal change; collected oblique aerial photography of pre-storm coastal morphology; deployed storm-surge sensors, rapid-deployment streamgages, wave sensors, and barometric pressure sensors; conducted Light Detection And Ranging (lidar) aerial topographic surveys of coastal areas; and issued a landslide alert for landslide prone areas. During the storm, Tidal Telemetry Networks provided real-time water-level information along the coast. Long-term network and rapid-deployment real-time streamgages and water-quality monitors reported on river levels and changes in water quality. Immediately after the storm, the USGS serviced real-time instrumentation, retrieved data from over 140 storm-surge sensors, and collected other essential environmental data, including more than 830 high-water marks mapping the extent and elevation of the storm surge. Post-storm lidar surveys documented storm impacts to coastal barriers informing response and recovery and providing a new baseline to assess vulnerability of the reconfigured coast. The USGS Hazard Data Distribution System served storm related information from many agencies on the Internet on a daily basis. This science plan was developed immediately following Hurricane Sandy to coordinate continuing USGS activities with other agencies and to guide continued data collection and analysis to ensure support for recovery and restoration efforts. The data, information, and tools that are produced by implementing this plan will: (1) further characterize impacts and changes, (2) guide mitigation and restoration of impacted communities and ecosystems, (3) inform a redevelopment strategy aimed at developing resilient coastal communities and ecosystems, (4) improve preparedness and responsiveness to the next hurricane or similar coastal disaster, and (5) enable improved hazard assessment, response, and recovery for future storms along the hurricane prone shoreline of the United States. The activities outlined in this plan are organized in five themes based on impact types and information needs. These USGS science themes are: Theme 1: Coastal topography and bathymetry. Theme 2: Impacts to coastal beaches and barriers. Theme 3: Impacts of storm surge and estuarine and bay hydrology. Theme 4: Impacts on environmental quality and persisting contaminant exposures. Theme 5: Impacts to coastal ecosystems, habitats, and fish and wildlife. A major emphasis in the implementation of this plan will be on interacting with stakeholders to better understand their specific data and information needs, to define the best way to make information available, and to support applications of USGS science and expertise to decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1390","usgsCitation":"Buxton, H.T., Andersen, M.E., Focazio, M.J., Haines, J.W., Hainly, R.A., Hippe, D.J., and Sugarbaker, L.J., 2013, Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery: U.S. Geological Survey Circular 1390, vi, 26 p., https://doi.org/10.3133/cir1390.","productDescription":"vi, 26 p.","numberOfPages":"32","additionalOnlineFiles":"N","ipdsId":"IP-046133","costCenters":[{"id":507,"text":"Office of the AD Energy and Mineralsand Environmental Health","active":false,"usgs":true}],"links":[{"id":274399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1390.gif"},{"id":274393,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1390/circ1390.pdf"},{"id":274392,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1390/"}],"country":"United States","state":"Connecticut;Delaware;Maine;Maryl;Massachusetts;New Hampshire;New Jersey;New York;Pennsylvania;Rhode Island;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.94,36.87 ], [ -77.94,43.86 ], [ -69.62,43.86 ], [ -69.62,36.87 ], [ -77.94,36.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389a3","contributors":{"authors":[{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":479513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hainly, Robert A. rahainly@usgs.gov","contributorId":1679,"corporation":false,"usgs":true,"family":"Hainly","given":"Robert","email":"rahainly@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hippe, Daniel J. djhippe@usgs.gov","contributorId":2281,"corporation":false,"usgs":true,"family":"Hippe","given":"Daniel","email":"djhippe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sugarbaker, Larry J. lsugarbaker@usgs.gov","contributorId":3079,"corporation":false,"usgs":true,"family":"Sugarbaker","given":"Larry","email":"lsugarbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":479518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70040562,"text":"70040562 - 2013 - Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change","interactions":[],"lastModifiedDate":"2013-07-01T11:29:47","indexId":"70040562","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change","docAbstract":"The outputs from two General Circulation Models (GCMs) with two emissions scenarios were downscaled and bias-corrected to develop regional climate change projections for the Tahoe Basin. For one model—the Geophysical Fluid Dynamics Laboratory or GFDL model—the daily model results were used to drive a distributed hydrologic model. The watershed model used an energy balance approach for computing evapotranspiration and snowpack dynamics so that the processes remain a function of the climate change projections. For this study, all other aspects of the model (i.e. land use distribution, routing configuration, and parameterization) were held constant to isolate impacts of climate change projections. The results indicate that (1) precipitation falling as rain rather than snow will increase, starting at the current mean snowline, and moving towards higher elevations over time; (2) annual accumulated snowpack will be reduced; (3) snowpack accumulation will start later; and (4) snowmelt will start earlier in the year. Certain changes were masked (or counter-balanced) when summarized as basin-wide averages; however, spatial evaluation added notable resolution. While rainfall runoff increased at higher elevations, a drop in total precipitation volume decreased runoff and fine sediment load from the lower elevation meadow areas and also decreased baseflow and nitrogen loads basin-wide. This finding also highlights the important role that the meadow areas could play as high-flow buffers under climatic change. Because the watershed model accounts for elevation change and variable meteorological patterns, it provided a robust platform for evaluating the impacts of projected climate change on hydrology and water quality.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-012-0629-8","usgsCitation":"Riverson, J., Coats, R., Costa-Cabral, M., Dettinger, M., Reuter, J., Sahoo, G., and Schladow, G., 2013, Modeling transport of nutrients & sediment loads into Lake Tahoe under climate change: Climatic Change, v. 116, no. 1, p. 35-50, https://doi.org/10.1007/s10584-012-0629-8.","productDescription":"16 p.","startPage":"35","endPage":"50","ipdsId":"IP-041968","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":274350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274349,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-012-0629-8"}],"country":"United States","state":"Nevada;California","otherGeospatial":"Lake Tahoe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.163938,38.936611 ], [ -120.163938,39.248854 ], [ -119.926019,39.248854 ], [ -119.926019,38.936611 ], [ -120.163938,38.936611 ] ] ] } } ] }","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-11-15","publicationStatus":"PW","scienceBaseUri":"51d296d8e4b0ca18483389af","contributors":{"authors":[{"text":"Riverson, John","contributorId":39677,"corporation":false,"usgs":true,"family":"Riverson","given":"John","email":"","affiliations":[],"preferred":false,"id":468539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coats, Robert","contributorId":108007,"corporation":false,"usgs":true,"family":"Coats","given":"Robert","affiliations":[],"preferred":false,"id":468543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costa-Cabral, Mariza","contributorId":42507,"corporation":false,"usgs":true,"family":"Costa-Cabral","given":"Mariza","email":"","affiliations":[],"preferred":false,"id":468540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Mike 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":859,"corporation":false,"usgs":true,"family":"Dettinger","given":"Mike","email":"mddettin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":468537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reuter, John","contributorId":107169,"corporation":false,"usgs":true,"family":"Reuter","given":"John","email":"","affiliations":[],"preferred":false,"id":468542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sahoo, Goloka","contributorId":82204,"corporation":false,"usgs":true,"family":"Sahoo","given":"Goloka","email":"","affiliations":[],"preferred":false,"id":468541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schladow, Geoffrey","contributorId":10312,"corporation":false,"usgs":true,"family":"Schladow","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":468538,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70094393,"text":"70094393 - 2013 - Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services","interactions":[],"lastModifiedDate":"2014-02-20T09:09:04","indexId":"70094393","displayToPublicDate":"2013-06-28T08:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services","docAbstract":"In the Santa Cruz Watershed, located on the Arizona-Sonora portion of the U.S.-Mexico border, an international wastewater treatment plant treats wastewater from cities on both sides of the border, before discharging it into the river in Arizona. These artificial flows often subsidize important perennial surface water ecosystems in the region. An explicit understanding of the benefits of maintaining instream flow for present and future generations requires the ability to assess and understand the important trade-offs implicit in water-resource management decisions. In this paper, we outline an approach for modeling and visualizing impacts of management decisions in terms of rare terrestrial and aquatic wildlife, vegetation, surface water, groundwater recharge, real-estate values and socio-environmental vulnerable communities. We identify and quantify ecosystem services and model the potential reduction in effluent discharge to the U.S. that is under scrutiny by binational water policy makers and of concern to stakeholders. Results of service provisioning are presented, and implications for policy makers and resource managers are discussed. This paper presents a robust ecosystem services assessment of multiple scenarios of watershed management as a means to discern eco-hydrological responses and consider their potential values for future generations living in the borderlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/w5030852","usgsCitation":"Norman, L.M., Villarreal, M., Niraula, R., Meixner, T., Frisvold, G., and Labiosa, W., 2013, Framing scenarios of binational water policy with a tool to visualize, quantify and valuate changes in ecosystem services: Water, v. 5, no. 3, p. 852-874, https://doi.org/10.3390/w5030852.","productDescription":"23 p.","startPage":"852","endPage":"874","numberOfPages":"23","ipdsId":"IP-039107","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w5030852","text":"Publisher Index Page"},{"id":282558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282557,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/w5030852"}],"country":"Mexico;United States","state":"Arizona;Sonora","county":"Santa Cruz County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.6156,30.8551 ], [ -111.6156,32.875 ], [ -109.9786,32.875 ], [ -109.9786,30.8551 ], [ -111.6156,30.8551 ] ] ] } } ] }","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-06-28","publicationStatus":"PW","scienceBaseUri":"53cd5a44e4b0b290850f93e1","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":490596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":490601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":490600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":490598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":490597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Labiosa, William","contributorId":26421,"corporation":false,"usgs":true,"family":"Labiosa","given":"William","affiliations":[],"preferred":false,"id":490599,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}