Information on important source areas for dissolved solids in streams of the southwestern United States, the relative share of deliveries of dissolved solids to streams from natural and human sources, and the potential for salt accumulation in soil or groundwater was developed using a SPAtially Referenced Regressions On Watershed attributes model. Predicted area‐normalized reach‐catchment delivery rates of dissolved solids to streams ranged from <10 (kg/year)/km2 for catchments with little or no natural or human‐related solute sources in them to 563,000 (kg/year)/km2 for catchments that were almost entirely cultivated land. For the region as a whole, geologic units contributed 44% of the dissolved‐solids deliveries to streams and the remaining 56% of the deliveries came from the release of solutes through irrigation of cultivated and pasture lands, which comprise only 2.5% of the land area. Dissolved‐solids accumulation is manifested as precipitated salts in the soil or underlying sediments, and (or) dissolved salts in soil‐pore or sediment‐pore water, or groundwater, and therefore represents a potential for aquifer contamination. Accumulation rates were <10,000 (kg/year)/km2 for many hydrologic accounting units (large river basins), but were more than 40,000 (kg/year)/km2 for the Middle Gila, Lower Gila‐Agua Fria, Lower Gila, Lower Bear, Great Salt Lake accounting units, and 247,000 (kg/year)/km2 for the Salton Sea accounting unit.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00579.x","issn":"1093474X","usgsCitation":"Anning, D., 2011, Modeled sources, transport, and accumulation of dissolved solids in water resources of the southwestern United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 1087-1109, https://doi.org/10.1111/j.1752-1688.2011.00579.x.","productDescription":"23 p.","startPage":"1087","endPage":"1109","costCenters":[],"links":[{"id":475328,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00579.x","text":"Publisher Index Page"},{"id":244880,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, Utah, New Mexico, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.2919921875,\n 31.353636941500987\n ],\n [\n -108.017578125,\n 31.39115752282472\n ],\n [\n -108.2373046875,\n 31.914867503276223\n ],\n [\n -105.1171875,\n 31.952162238024975\n ],\n [\n -105.1171875,\n 40.97989806962013\n ],\n [\n -110.478515625,\n 42.90816007196054\n ],\n [\n -122.56347656249999,\n 42.06560675405716\n ],\n [\n -121.33300781249999,\n 38.65119833229951\n ],\n [\n -118.95996093749999,\n 35.639441068973944\n ],\n [\n -120.89355468749999,\n 34.45221847282654\n ],\n [\n -118.16894531249999,\n 33.87041555094183\n ],\n [\n -116.93847656250001,\n 32.76880048488168\n ],\n [\n -117.20214843749999,\n 32.39851580247402\n ],\n [\n -114.6533203125,\n 32.65787573695528\n ],\n [\n -110.91796875,\n 31.316101383495624\n ],\n [\n -109.2919921875,\n 31.353636941500987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a5bbae4b0c8380cd6f775","contributors":{"authors":[{"text":"Anning, D.W.","contributorId":6905,"corporation":false,"usgs":true,"family":"Anning","given":"D.W.","affiliations":[],"preferred":false,"id":445160,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036225,"text":"70036225 - 2011 - Quantification of a greenhouse hydrologic cycle from equatorial to polar latitudes: The mid-Cretaceous water bearer revisited","interactions":[],"lastModifiedDate":"2021-01-25T18:10:50.829732","indexId":"70036225","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of a greenhouse hydrologic cycle from equatorial to polar latitudes: The mid-Cretaceous water bearer revisited","docAbstract":"This study aims to investigate the global hydrologic cycle during the mid-Cretaceous greenhouse by utilizing the oxygen isotopic composition of pedogenic carbonates (calcite and siderite) as proxies for the oxygen isotopic composition of precipitation. The data set builds on the Aptian–Albian sphaerosiderite δ18O data set presented by Ufnar et al. (2002) by incorporating additional low latitude data including pedogenic and early meteoric diagenetic calcite δ18O. Ufnar et al. (2002) used the proxy data derived from the North American Cretaceous Western Interior Basin (KWIB) in a mass balance model to estimate precipitation–evaporation fluxes. We have revised this mass balance model to handle sphaerosiderite and calcite proxies, and to account for longitudinal travel by tropical air masses. We use empirical and general circulation model (GCM) temperature gradients for the mid-Cretaceous, and the empirically derived δ18O composition of groundwater as constraints in our mass balance model. Precipitation flux, evaporation flux, relative humidity, seawater composition, and continental feedback are adjusted to generate model calculated groundwater δ18O compositions (proxy for precipitation δ18O) that match the empirically-derived groundwater δ18O compositions to within ± 0.5‰. The model is calibrated against modern precipitation data sets.
Four different Cretaceous temperature estimates were used: the leaf physiognomy estimates of Wolfe and Upchurch (1987) and Spicer and Corfield (1992), the coolest and warmest Cretaceous estimates compiled by Barron (1983) and model outputs from the GENESIS-MOM GCM by Zhou et al. (2008). Precipitation and evaporation fluxes for all the Cretaceous temperature gradients utilized in the model are greater than modern precipitation and evaporation fluxes. Balancing the model also requires relative humidity in the subtropical dry belt to be significantly reduced. As expected calculated precipitation rates are all greater than modern precipitation rates. Calculated global average precipitation rates range from 371 mm/year to 1196 mm/year greater than modern precipitation rates. Model results support the hypothesis that increased rainout produces δ18O-depleted precipitation.
Sensitivity testing of the model indicates that the amount of water vapor in the air mass, and its origin and pathway, significantly affect the oxygen isotopic composition of precipitation. Precipitation δ18O is also sensitive to seawater δ18O and enriched tropical seawater was necessary to simulate proxy data (consistent with fossil and geologic evidence for a warmer and evaporatively enriched Tethys). Improved constraints in variables such as seawater δ18O can help improve boundary conditions for mid-Cretaceous climate simulations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.05.027","issn":"00310182","usgsCitation":"Suarez, M., Gonzalez, L.A., and Ludvigson, G.A., 2011, Quantification of a greenhouse hydrologic cycle from equatorial to polar latitudes: The mid-Cretaceous water bearer revisited: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 307, no. 1-4, p. 301-312, https://doi.org/10.1016/j.palaeo.2011.05.027.","productDescription":"12 p.","startPage":"301","endPage":"312","costCenters":[],"links":[{"id":246306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218307,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.05.027"}],"volume":"307","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a91a6e4b0c8380cd80398","contributors":{"authors":[{"text":"Suarez, M.B.","contributorId":18589,"corporation":false,"usgs":true,"family":"Suarez","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":454979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez, Luis A.","contributorId":20922,"corporation":false,"usgs":true,"family":"Gonzalez","given":"Luis","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":454980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludvigson, Greg A.","contributorId":80803,"corporation":false,"usgs":true,"family":"Ludvigson","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":454981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036221,"text":"70036221 - 2011 - Simulating adsorption of U(VI) under transient groundwater flow and hydrochemistry: Physical versus chemical nonequilibrium model","interactions":[],"lastModifiedDate":"2020-01-14T07:50:14","indexId":"70036221","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Simulating adsorption of U(VI) under transient groundwater flow and hydrochemistry: Physical versus chemical nonequilibrium model","docAbstract":"Coupled intragrain diffusional mass transfer and nonlinear surface complexation processes play an important role in the transport behavior of U(VI) in contaminated aquifers. Two alternative model approaches for simulating these coupled processes were analyzed and compared: (1) the physical nonequilibrium approach that explicitly accounts for aqueous speciation and instantaneous surface complexation reactions in the intragrain regions and approximates the diffusive mass exchange between the immobile intragrain pore water and the advective pore water as multirate first-order mass transfer and (2) the chemical nonequilibrium approach that approximates the diffusion-limited intragrain surface complexation reactions by a set of multiple first-order surface complexation reaction kinetics, thereby eliminating the explicit treatment of aqueous speciation in the intragrain pore water. A model comparison has been carried out for column and field scale scenarios, representing the highly transient hydrological and geochemical conditions in the U(VI)-contaminated aquifer at the Hanford 300A site, Washington, USA. It was found that the response of U(VI) mass transfer behavior to hydrogeochemically induced changes in U(VI) adsorption strength was more pronounced in the physical than in the chemical nonequilibrium model. The magnitude of the differences in model behavior depended particularly on the degree of disequilibrium between the advective and immobile phase U(VI) concentrations. While a clear difference in U(VI) transport behavior between the two models was noticeable for the column-scale scenarios, only minor differences were found for the Hanford 300A field scale scenarios, where the model-generated disequilibrium conditions were less pronounced as a result of frequent groundwater flow reversals.
","language":"English","publisher":"Wiley","doi":"10.1029/2010WR010118","issn":"00431397","usgsCitation":"Greskowiak, J., Hay, M., Prommer, H., Liu, C., Post, V., Ma, R., Davis, J., Zheng, C., and Zachara, J., 2011, Simulating adsorption of U(VI) under transient groundwater flow and hydrochemistry: Physical versus chemical nonequilibrium model: Water Resources Research, v. 47, no. 8, https://doi.org/10.1029/2010WR010118.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475313,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr010118","text":"Publisher Index Page"},{"id":246244,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"8","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"505b8fcae4b08c986b319133","contributors":{"authors":[{"text":"Greskowiak, J.","contributorId":21002,"corporation":false,"usgs":true,"family":"Greskowiak","given":"J.","affiliations":[],"preferred":false,"id":454960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, M.B.","contributorId":30078,"corporation":false,"usgs":true,"family":"Hay","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":454961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prommer, H.","contributorId":12264,"corporation":false,"usgs":true,"family":"Prommer","given":"H.","affiliations":[],"preferred":false,"id":454958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, C.","contributorId":67755,"corporation":false,"usgs":true,"family":"Liu","given":"C.","affiliations":[],"preferred":false,"id":454964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Post, V.E.A.","contributorId":56078,"corporation":false,"usgs":true,"family":"Post","given":"V.E.A.","email":"","affiliations":[],"preferred":false,"id":454963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ma, R.","contributorId":17458,"corporation":false,"usgs":true,"family":"Ma","given":"R.","email":"","affiliations":[],"preferred":false,"id":454959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, J.A.","contributorId":71694,"corporation":false,"usgs":true,"family":"Davis","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":454965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zheng, C.","contributorId":39976,"corporation":false,"usgs":true,"family":"Zheng","given":"C.","email":"","affiliations":[],"preferred":false,"id":454962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zachara, J.M.","contributorId":96896,"corporation":false,"usgs":true,"family":"Zachara","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":454966,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70036213,"text":"70036213 - 2011 - Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina","interactions":[],"lastModifiedDate":"2021-01-25T19:47:41.479357","indexId":"70036213","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina","docAbstract":"The key to advancing the predictability of rainfall-triggered landslides is to use physically based slope-stability models that simulate the transient dynamical response of the subsurface moisture to spatiotemporal variability of rainfall in complex terrains. TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis) is a USGS landslide prediction model, coded in Fortran, that accounts for the influences of hydrology, topography, and soil physics on slope stability. In this study, we quantitatively evaluate the spatiotemporal predictability of a Matlab version of TRIGRS (MaTRIGRS) in the Blue Ridge Mountains of Macon County, North Carolina where Hurricanes Ivan triggered widespread landslides in the 2004 hurricane season. High resolution digital elevation model (DEM) data (6-m LiDAR), USGS STATSGO soil database, and NOAA/NWS combined radar and gauge precipitation are used as inputs to the model. A local landslide inventory database from North Carolina Geological Survey is used to evaluate the MaTRIGRS’ predictive skill for the landslide locations and timing, identifying predictions within a 120-m radius of observed landslides over the 30-h period of Hurricane Ivan’s passage in September 2004. Results show that within a radius of 24 m from the landslide location about 67% of the landslide, observations could be successfully predicted but with a high false alarm ratio (90%). If the radius of observation is extended to 120 m, 98% of the landslides are detected with an 18% false alarm ratio. This study shows that MaTRIGRS demonstrates acceptable spatiotemporal predictive skill for landslide occurrences within a 120-m radius in space and a hurricane-event-duration (h) in time, offering the potential to serve as a landslide warning system in areas where accurate rainfall forecasts and detailed field data are available. The validation can be further improved with additional landslide information including the exact time of failure for each landslide and the landslide’s extent and run out length.
","language":"English","publisher":"Springer Link","doi":"10.1007/s11069-010-9670-y","issn":"0921030X","usgsCitation":"Liao, Z., Hong, Y., Kirschbaum, D., Adler, R., Gourley, J., and Wooten, R., 2011, Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: A case study in Macon County, North Carolina: Natural Hazards, v. 58, no. 1, p. 325-339, https://doi.org/10.1007/s11069-010-9670-y.","productDescription":"15 p.","startPage":"325","endPage":"339","costCenters":[],"links":[{"id":246117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218133,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-010-9670-y"}],"country":"United States","state":"North Carolina","county":"Macon","otherGeospatial":"Blue Ridge Mountains","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-83.6811,35.2794],[-83.6644,35.2835],[-83.4961,35.3004],[-83.4889,35.3043],[-83.4866,35.3044],[-83.4734,35.2993],[-83.4667,35.299],[-83.4583,35.3016],[-83.4493,35.315],[-83.4378,35.3217],[-83.4284,35.3247],[-83.414,35.3183],[-83.4101,35.3193],[-83.4003,35.3269],[-83.3885,35.3277],[-83.3654,35.3283],[-83.3599,35.333],[-83.3507,35.3288],[-83.338,35.3336],[-83.3317,35.3198],[-83.323,35.315],[-83.3126,35.2821],[-83.3149,35.2698],[-83.3083,35.26],[-83.2984,35.2548],[-83.2898,35.236],[-83.2862,35.2329],[-83.272,35.2292],[-83.2485,35.2326],[-83.2431,35.2382],[-83.2365,35.2425],[-83.2274,35.24],[-83.2178,35.2253],[-83.2246,35.1606],[-83.2126,35.1564],[-83.1962,35.1409],[-83.1868,35.1307],[-83.1758,35.1083],[-83.1494,35.0954],[-83.1451,35.0878],[-83.1459,35.08],[-83.1565,35.0775],[-83.1718,35.0671],[-83.1699,35.0608],[-83.1499,35.054],[-83.1341,35.0381],[-83.1314,35.0268],[-83.1224,35.013],[-83.1129,35.0141],[-83.1094,35.011],[-83.1076,35.0079],[-83.1052,35.002],[-83.1256,35.0014],[-83.4584,34.9946],[-83.4836,34.9946],[-83.4844,34.9946],[-83.4879,34.9981],[-83.5101,35.0047],[-83.5218,35.0026],[-83.5232,35.0093],[-83.5201,35.0154],[-83.5214,35.0185],[-83.5409,35.0393],[-83.5455,35.0414],[-83.55,35.0413],[-83.5573,35.0406],[-83.5656,35.0503],[-83.5628,35.0631],[-83.5664,35.0685],[-83.5838,35.0798],[-83.5854,35.0888],[-83.5998,35.097],[-83.613,35.1011],[-83.6165,35.1046],[-83.6165,35.116],[-83.6201,35.1218],[-83.6198,35.1282],[-83.6239,35.1303],[-83.6277,35.1279],[-83.6337,35.1232],[-83.6382,35.1244],[-83.6391,35.1308],[-83.636,35.1372],[-83.6384,35.139],[-83.647,35.1423],[-83.6503,35.1531],[-83.6572,35.1575],[-83.6589,35.157],[-83.6609,35.1519],[-83.6654,35.1504],[-83.6713,35.157],[-83.678,35.1568],[-83.6875,35.1542],[-83.6943,35.1554],[-83.7026,35.152],[-83.7128,35.1544],[-83.7265,35.1462],[-83.7387,35.1553],[-83.7319,35.1646],[-83.7301,35.1752],[-83.7243,35.1817],[-83.7122,35.1871],[-83.7102,35.1935],[-83.724,35.1994],[-83.7254,35.2039],[-83.7222,35.2081],[-83.715,35.212],[-83.708,35.2181],[-83.6971,35.2248],[-83.6929,35.2322],[-83.6916,35.24],[-83.6934,35.2426],[-83.6988,35.2479],[-83.6861,35.2665],[-83.6811,35.2794]]]},\"properties\":{\"name\":\"Macon\",\"state\":\"NC\"}}]}","volume":"58","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"505a0c25e4b0c8380cd52a5a","contributors":{"authors":[{"text":"Liao, Z.","contributorId":107137,"corporation":false,"usgs":true,"family":"Liao","given":"Z.","email":"","affiliations":[],"preferred":false,"id":454917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Y.","contributorId":67343,"corporation":false,"usgs":true,"family":"Hong","given":"Y.","email":"","affiliations":[],"preferred":false,"id":454915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirschbaum, D.","contributorId":41686,"corporation":false,"usgs":true,"family":"Kirschbaum","given":"D.","affiliations":[],"preferred":false,"id":454913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adler, R.F.","contributorId":31243,"corporation":false,"usgs":true,"family":"Adler","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":454912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gourley, J.J.","contributorId":45557,"corporation":false,"usgs":true,"family":"Gourley","given":"J.J.","affiliations":[],"preferred":false,"id":454914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooten, R.","contributorId":86610,"corporation":false,"usgs":true,"family":"Wooten","given":"R.","email":"","affiliations":[],"preferred":false,"id":454916,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036785,"text":"70036785 - 2011 - Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","interactions":[],"lastModifiedDate":"2018-02-21T10:49:44","indexId":"70036785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","docAbstract":"Recent flood events in the Prairie Pothole Region of North America have stimulated interest in modeling water storage capacities of wetlands and their surrounding catchments to facilitate flood mitigation efforts. Accurate estimates of basin storage capacities have been hampered by a lack of high-resolution elevation data. In this paper, we developed a 0.5 m bare-earth model from Light Detection And Ranging (LiDAR) data and, in combination with National Wetlands Inventory data, delineated wetland catchments and their spilling points within a 196 km2 study area. We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins. When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well. Of the 11 modeled spilling points, 10 matched field survey spilling points. The comparison between observed and modeled maximum water storage had an R2 of 0.87 with mean absolute error of 5564 m3. Since maximum water storage capacity of basins does not translate into floodwater regulation capability, we further developed a Basin Floodwater Regulation Index. Based upon this index, the absolute and relative water that could be held by wetlands over a landscape could be modeled. This conceptual model of floodwater downstream contribution was demonstrated with water level data from 17 May 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.05.040","issn":"00221694","usgsCitation":"Huang, S., Young, C., Feng, M., Heidemann, H.K., Cushing, M., Mushet, D., and Liu, S., 2011, Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands: Journal of Hydrology, v. 405, no. 3-4, p. 417-426, https://doi.org/10.1016/j.jhydrol.2011.05.040.","productDescription":"10 p.","startPage":"417","endPage":"426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.05.040"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,40.38 ], [ -120.0,60.0 ], [ -90.14,60.0 ], [ -90.14,40.38 ], [ -120.0,40.38 ] ] ] } } ] }","volume":"405","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe90e4b0c8380cd4edca","contributors":{"authors":[{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":457836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":457838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":457837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidemann, Hans Karl 0000-0003-4306-359X kheidemann@usgs.gov","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":3755,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"kheidemann@usgs.gov","middleInitial":"Karl","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":457842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Matthew 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":66101,"corporation":false,"usgs":true,"family":"Cushing","given":"Matthew","affiliations":[],"preferred":false,"id":457840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":457839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":457841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70036194,"text":"70036194 - 2011 - Methane oxidation in a crude oil contaminated aquifer: Delineation of aerobic reactions at the plume fringes","interactions":[],"lastModifiedDate":"2020-01-28T09:25:49","indexId":"70036194","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Methane oxidation in a crude oil contaminated aquifer: Delineation of aerobic reactions at the plume fringes","docAbstract":"High resolution direct-push profiling over short vertical distances was used to investigate CH4 attenuation in a petroleum contaminated aquifer near Bemidji, Minnesota. The contaminant plume was delineated using dissolved gases, redox sensitive components, major ions, carbon isotope ratios in CH4 and CO2, and the presence of methanotrophic bacteria. Sharp redox gradients were observed near the water table. Shifts in δ13CCH4 from an average of − 57.6‰ (± 1.7‰) in the methanogenic zone to − 39.6‰ (± 8.7‰) at 105 m downgradient, strongly suggest CH4 attenuation through microbially mediated degradation. In the downgradient zone the aerobic/anaerobic transition is up to 0.5 m below the water table suggesting that transport of O2 across the water table is leading to aerobic degradation of CH4 at this interface. Dissolved N2 concentrations that exceeded those expected for water in equilibrium with the atmosphere indicated bubble entrapment followed by preferential stripping of O2 through aerobic degradation of CH4 or other hydrocarbons. Multivariate and cluster analysis were used to distinguish between areas of significant bubble entrapment and areas where other processes such as the infiltration of O2 rich recharge water were important O2 transport mechanisms.
The North American river otter (Lontra canadensis) is recovering from near extirpation throughout much of its range. Although reintroductions, trapping regulations and habitat improvements have led to the reestablishment of river otters in the Midwest, little is known about how their distribution is influenced by local- and landscape-scale habitat. We conducted river otter sign surveys from Jan. to Apr. in 2008 and 2009 in eastern Kansas to assess how local- and landscape-scale habitat factors affect river otter occupancy. We surveyed three to nine 400-m stretches of stream and reservoir shorelines for 110 sites and measured local-scale variables (e.g., stream order, land cover types) within a 100 m buffer of the survey site and landscape-scale variables (e.g., road density, land cover types) for Hydrological Unit Code 14 watersheds. We then used occupancy models that account for the probability of detection to estimate occupancy as a function of these covariates using Program PRESENCE. The best-fitting model indicated river otter occupancy increased with the proportion of woodland cover and decreased with the proportion of cropland and grassland cover at the local scale. Occupancy also increased with decreased shoreline diversity, waterbody density and stream density at the landscape scale. Occupancy was not affected by land cover or human disturbance at the landscape scale. Understanding the factors and scale important to river otter occurrence will be useful in identifying areas for management and continued restoration.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-166.1.177","usgsCitation":"Jeffress, M.R., Paukert, C.P., Whittier, J.B., Sandercock, B.K., and Gipson, P.S., 2011, Scale-dependent factors affecting North American river otter distribution in the midwest: American Midland Naturalist, v. 166, no. 1, p. 177-193, https://doi.org/10.1674/0003-0031-166.1.177.","productDescription":"17 p.","startPage":"177","endPage":"193","ipdsId":"IP-015089","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":352,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":246464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Eastern Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.658203125,\n 36.98500309285596\n ],\n [\n -94.3505859375,\n 36.932330061503144\n ],\n [\n -94.32861328125,\n 37.020098201368114\n ],\n [\n -94.32861328125,\n 37.71859032558816\n ],\n [\n -94.3505859375,\n 39.13006024213511\n ],\n [\n -94.7515869140625,\n 39.7240885773337\n ],\n [\n -94.833984375,\n 39.93501296038254\n ],\n [\n -95.11962890625,\n 39.918162846609455\n ],\n [\n -95.29541015625,\n 40.027614437486655\n ],\n [\n -97.05322265625,\n 40.027614437486655\n ],\n [\n -96.83349609375,\n 37.00255267215955\n ],\n [\n -96.48193359375,\n 36.932330061503144\n ],\n [\n -94.658203125,\n 36.98500309285596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"166","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b870de4b08c986b31629b","contributors":{"authors":[{"text":"Jeffress, Mackenzie R.","contributorId":67346,"corporation":false,"usgs":true,"family":"Jeffress","given":"Mackenzie","email":"","middleInitial":"R.","affiliations":[{"id":352,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":454642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":454639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":454640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandercock, B. K.","contributorId":61382,"corporation":false,"usgs":false,"family":"Sandercock","given":"B.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":454641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gipson, P. 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The goal of CM3 is to address emerging issues in climate change, including aerosol–cloud interactions, chemistry–climate interactions, and coupling between the troposphere and stratosphere. The model is also designed to serve as the physical system component of earth system models and models for decadal prediction in the near-term future—for example, through improved simulations in tropical land precipitation relative to earlier-generation GFDL models. This paper describes the dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component (AM3) of this model. Relative to GFDL AM2, AM3 includes new treatments of deep and shallow cumulus convection, cloud droplet activation by aerosols, subgrid variability of stratiform vertical velocities for droplet activation, and atmospheric chemistry driven by emissions with advective, convective, and turbulent transport. AM3 employs a cubed-sphere implementation of a finite-volume dynamical core and is coupled to LM3, a new land model with ecosystem dynamics and hydrology. Its horizontal resolution is approximately 200 km, and its vertical resolution ranges approximately from 70 m near the earth’s surface to 1 to 1.5 km near the tropopause and 3 to 4 km in much of the stratosphere. Most basic circulation features in AM3 are simulated as realistically, or more so, as in AM2. In particular, dry biases have been reduced over South America. In coupled mode, the simulation of Arctic sea ice concentration has improved. AM3 aerosol optical depths, scattering properties, and surface clear-sky downward shortwave radiation are more realistic than in AM2. The simulation of marine stratocumulus decks remains problematic, as in AM2. The most intense 0.2% of precipitation rates occur less frequently in AM3 than observed. The last two decades of the twentieth century warm in CM3 by 0.32°C relative to 1881–1920. The Climate Research Unit (CRU) and Goddard Institute for Space Studies analyses of observations show warming of 0.56° and 0.52°C, respectively, over this period. CM3 includes anthropogenic cooling by aerosol–cloud interactions, and its warming by the late twentieth century is somewhat less realistic than in CM2.1, which warmed 0.66°C but did not include aerosol–cloud interactions. The improved simulation of the direct aerosol effect (apparent in surface clear-sky downward radiation) in CM3 evidently acts in concert with its simulation of cloud–aerosol interactions to limit greenhouse gas warming.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2011JCLI3955.1","issn":"08948755","usgsCitation":"Donner, L., Wyman, B., Hemler, R., Horowitz, L., Ming, Y., Zhao, M., Golaz, J., Ginoux, P., Lin, S., Schwarzkopf, M., Austin, J., Alaka, G., Cooke, W., Delworth, T., Freidenreich, S., Gordon, C., Griffies, S., Held, I., Hurlin, W., Klein, S., Knutson, T., Langenhorst, A., Lee, H., Lin, Y., Magi, B., Malyshev, S., Milly, P., Naik, V., Nath, M., Pincus, R., Ploshay, J., Ramaswamy, V., Seman, C., Shevliakova, E., Sirutis, J., Stern, W., Stouffer, R., Wilson, R., Winton, M., Wittenberg, A., and Zeng, F., 2011, The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3: Journal of Climate, v. 24, no. 13, p. 3484-3519, https://doi.org/10.1175/2011JCLI3955.1.","productDescription":"36 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R.J.","contributorId":86543,"corporation":false,"usgs":true,"family":"Wilson","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":454577,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Winton, M.","contributorId":21805,"corporation":false,"usgs":true,"family":"Winton","given":"M.","affiliations":[],"preferred":false,"id":454555,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Wittenberg, A.T.","contributorId":70163,"corporation":false,"usgs":true,"family":"Wittenberg","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":454573,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Zeng, F.","contributorId":108355,"corporation":false,"usgs":true,"family":"Zeng","given":"F.","email":"","affiliations":[],"preferred":false,"id":454588,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70036165,"text":"70036165 - 2011 - Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed","interactions":[],"lastModifiedDate":"2021-01-26T20:14:42.384791","indexId":"70036165","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed","docAbstract":"The 326 ha Río Icacos watershed in the tropical wet forest of the Luquillo Mountains, northeastern Puerto Rico, is underlain by granodiorite bedrock with weathering rates among the highest in the world. We pooled stream chemistry and total suspended sediment (TSS) data sets from three discrete periods: 1983–1987, 1991–1997, and 2000–2008. During this period three major hurricanes crossed the site: Hugo in 1989, Hortense in 1996, and Georges in 1998. Stream chemistry reflects sea salt inputs (Na, Cl, and SO4), and high weathering rates of the granodiorite (Ca, Mg, Si, and alkalinity). During rainfall, stream composition shifts toward that of precipitation, diluting 90% or more in the largest storms, but maintains a biogeochemical watershed signal marked by elevated K and dissolved organic carbon (DOC) concentration. DOC exhibits an unusual “boomerang” pattern, initially increasing with flow but then decreasing at the highest flows as it becomes depleted and/or vigorous overland flow minimizes contact with watershed surfaces. TSS increased markedly with discharge (power function slope 1.54), reflecting the erosive power of large storms in a landslide‐prone landscape. The relations of TSS and most solute concentrations with stream discharge were stable through time, suggesting minimal long‐term effects from repeated hurricane disturbance. Nitrate concentration, however, increased about threefold in response to hurricanes then returned to baseline over several years following a pseudo first‐order decay pattern. The combined data sets provide insight about important hydrologic pathways, a long‐term perspective to assess response to hurricanes, and a framework to evaluate future climate change in tropical ecosystems.
","largerWorkTitle":"Water Resources Research","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009788","issn":"00431397","usgsCitation":"Shanley, J.B., McDowell, W.H., and Stallard, R.F., 2011, Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed: Water Resources Research, v. 47, no. 7, W07515, 11 p., https://doi.org/10.1029/2010WR009788.","productDescription":"W07515, 11 p.","costCenters":[],"links":[{"id":246302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218303,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR009788"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Río Icacos watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.88775634765625,\n 18.21761162872689\n ],\n [\n -65.6982421875,\n 18.21761162872689\n ],\n [\n -65.6982421875,\n 18.35582895074145\n ],\n [\n -65.88775634765625,\n 18.35582895074145\n ],\n [\n -65.88775634765625,\n 18.21761162872689\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-09","publicationStatus":"PW","scienceBaseUri":"505a499fe4b0c8380cd68772","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, W. H.","contributorId":88532,"corporation":false,"usgs":false,"family":"McDowell","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":454525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":454523,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034282,"text":"70034282 - 2011 - Tracking nonpoint source nitrogen pollution in human-impacted watersheds","interactions":[],"lastModifiedDate":"2020-01-28T10:16:45","indexId":"70034282","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Tracking nonpoint source nitrogen pollution in human-impacted watersheds","docAbstract":"Nonpoint source nitrogen (N) pollution is a leading contributor to U.S. water quality impairments. We combined watershed N mass balances and stable isotopes to investigate fate and transport of nonpoint N in forest, agricultural, and urbanized watersheds at the Baltimore Long-Term Ecological Research site. Annual N retention was 55%, 68%, and 82% for agricultural, suburban, and forest watersheds, respectively. Analysis of δ15N-NO3–, and δ18O-NO3– indicated wastewater was an important nitrate source in urbanized streams during baseflow. Negative correlations between δ15N-NO3– and δ18O-NO3– in urban watersheds indicated mixing between atmospheric deposition and wastewater, and N source contributions changed with storm magnitude (atmospheric sources contributed ∼50% at peak storm N loads). Positive correlations between δ15N-NO3– and δ18O-NO3– in watersheds suggested denitrification was removing septic system and agriculturally derived N, but N from belowground leaking sewers was less susceptible to denitrification. N transformations were also observed in a storm drain (no natural drainage network) potentially due to organic carbon inputs. Overall, nonpoint sources such as atmospheric deposition, wastewater, and fertilizer showed different susceptibility to watershed N export. There were large changes in nitrate sources as a function of runoff, and anticipating source changes in response to climate and storms will be critical for managing nonpoint N pollution.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es200779e","issn":"0013936X","usgsCitation":"Kaushal, S.S., Groffman, P., Band, L., Elliott, E.M., Shields, C.A., and Kendall, C., 2011, Tracking nonpoint source nitrogen pollution in human-impacted watersheds: Environmental Science & Technology, v. 45, no. 19, p. 8225-8232, https://doi.org/10.1021/es200779e.","productDescription":"8 p.","startPage":"8225","endPage":"8232","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bb6a2e4b08c986b326dbc","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":174385,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":445066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groffman, Peter M","contributorId":168873,"corporation":false,"usgs":false,"family":"Groffman","given":"Peter M","affiliations":[{"id":25372,"text":"Senior Research Scientist, Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":445063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Band, Lawrence","contributorId":174085,"corporation":false,"usgs":false,"family":"Band","given":"Lawrence","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":445067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Emily M.","contributorId":174386,"corporation":false,"usgs":false,"family":"Elliott","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shields, Catherine A.","contributorId":174387,"corporation":false,"usgs":false,"family":"Shields","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":445064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036136,"text":"70036136 - 2011 - Occurrence of azoxystrobin, propiconazole, and selected other fungicides in US streams, 2005-2006","interactions":[],"lastModifiedDate":"2021-05-27T14:37:02.235544","indexId":"70036136","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of azoxystrobin, propiconazole, and selected other fungicides in US streams, 2005-2006","docAbstract":"Fungicides are used to prevent foliar diseases on a wide range of vegetable, field, fruit, and ornamental crops. They are generally more effective as protective rather than curative treatments, and hence tend to be applied before infections take place. Less than 1% of US soybeans were treated with a fungicide in 2002 but by 2006, 4% were treated. Like other pesticides, fungicides can move-off of fields after application and subsequently contaminate surface water, groundwater, and associated sediments. Due to the constant pressure from fungal diseases such as the recent Asian soybean rust outbreak, and the always-present desire to increase crop yields, there is the potential for a significant increase in the amount of fungicides used on US farms. Increased fungicide use could lead to increased environmental concentrations of these compounds. This study documents the occurrence of fungicides in select US streams soon after the first documentation of soybean rust in the US and prior to the corresponding increase in fungicide use to treat this problem. Water samples were collected from 29 streams in 13 states in 2005 and/or 2006, and analyzed for 12 target fungicides. Nine of the 12 fungicides were detected in at least one stream sample and at least one fungicide was detected in 20 of 29 streams. At least one fungicide was detected in 56% of the 103 samples, as many as five fungicides were detected in an individual sample, and mixtures of fungicides were common. Azoxystrobin was detected most frequently (45% of 103 samples) followed by metalaxyl (27%), propiconazole (17%), myclobutanil (9%), and tebuconazole (6%). Fungicide detections ranged from 0.002 to 1.15 μ/L. There was indication of a seasonal pattern to fungicide occurrence, with detections more common and concentrations higher in late summer and early fall than in spring. At a few sites, fungicides were detected in all samples collected suggesting the potential for season-long occurrence in some streams. Fungicide occurrence appears to be related to fungicide use in the associated drainage basins; however, current use information is generally lacking and more detailed occurrence data are needed to accurately quantify such a relation. Maximum concentrations of fungicides were typically one or more orders of magnitude less than current toxicity estimates for freshwater aquatic organisms or humans; however, gaps in current toxicological understandings of the effects of fungicides in the environment limit these interpretations.","language":"English","publisher":"Springer","doi":"10.1007/s11270-010-0643-2","issn":"00496979","usgsCitation":"Battaglin, W.A., Sandstrom, M.W., Kuivila, K., Kolpin, D.W., and Meyer, M.T., 2011, Occurrence of azoxystrobin, propiconazole, and selected other fungicides in US streams, 2005-2006: Water, Air, & Soil Pollution, v. 218, no. 1-4, p. 307-322, https://doi.org/10.1007/s11270-010-0643-2.","productDescription":"16 p.","startPage":"307","endPage":"322","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":246331,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"218","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2010-10-09","publicationStatus":"PW","scienceBaseUri":"505a6bd3e4b0c8380cd748ed","contributors":{"authors":[{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":454397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":454400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":454398,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032485,"text":"70032485 - 2011 - An improved understanding of the Alaska coastal current: The application of a bivalve growth-temperature model to reconstruct freshwater-influenced paleoenvironments","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032485","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3000,"text":"Palaios","active":true,"publicationSubtype":{"id":10}},"title":"An improved understanding of the Alaska coastal current: The application of a bivalve growth-temperature model to reconstruct freshwater-influenced paleoenvironments","docAbstract":"Shells of intertidal bivalve mollusks contain sub-seasonally to interannually resolved records of temperature and salinity variations in coastal settings. Such data are essential to understand changing land-sea interactions through time, specifically atmospheric (precipitation rate, glacial meltwater, river discharge) and oceanographic circulation patterns; however, independent temperature and salinity proxies are currently not available. We established a model for reconstructing daily water temperatures with an average standard error of ???1.3 ??C based on variations in the width of lunar daily growth increments of Saxidomus gigantea from southwestern Alaska, United States. Temperature explains 70% of the variability in shell growth. When used in conjunction with stable oxygen isotope data, this approach can also be used to identify changes in past seawater salinity. This study provides a better understanding of the hydrological changes related to the Alaska Coastal Current (ACC). In combination with ??18Oshell values, increment-derived temperatures were used to estimate salinity changes with an average error of 1.4 ?? 1.1 PSU. Our model was calibrated and tested with modern shells and then applied to archaeological specimens. As derived from the model, the time interval of 988-1447 cal yr BP was characterized by ???1-2 ??C colder and much drier (2-5 PSU) summers. During that time, the ACC was likely flowing much more slowly than at present. In contrast, between 599-1014 cal yr BP, the Aleutian low may have been stronger, which resulted in a 3 ??C temperature decrease during summers and 1-2 PSU fresher conditions than today; the ACC was probably flowing more quickly at that time. The shell growth-temperature model can be used to estimate seasonal to interannual salinity and temperature changes in freshwater-influenced environments through time. ?? 2011 SEPM (Society for Sedimentary Geology).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaios","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2110/palo.2010.p10-151r","issn":"08831351","usgsCitation":"Hallmann, N., Schone, B., Irvine, G., Burchell, M., Cokelet, E., and Hilton, M., 2011, An improved understanding of the Alaska coastal current: The application of a bivalve growth-temperature model to reconstruct freshwater-influenced paleoenvironments: Palaios, v. 26, no. 6, p. 346-363, https://doi.org/10.2110/palo.2010.p10-151r.","startPage":"346","endPage":"363","numberOfPages":"18","costCenters":[],"links":[{"id":213818,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/palo.2010.p10-151r"},{"id":241478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-06-17","publicationStatus":"PW","scienceBaseUri":"5059ea74e4b0c8380cd4888b","contributors":{"authors":[{"text":"Hallmann, N.","contributorId":25772,"corporation":false,"usgs":true,"family":"Hallmann","given":"N.","email":"","affiliations":[],"preferred":false,"id":436419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schone, B.R.","contributorId":64900,"corporation":false,"usgs":true,"family":"Schone","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":436421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, G.V.","contributorId":97051,"corporation":false,"usgs":true,"family":"Irvine","given":"G.V.","email":"","affiliations":[],"preferred":false,"id":436423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burchell, M.","contributorId":68972,"corporation":false,"usgs":true,"family":"Burchell","given":"M.","email":"","affiliations":[],"preferred":false,"id":436422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cokelet, E.D.","contributorId":48397,"corporation":false,"usgs":true,"family":"Cokelet","given":"E.D.","affiliations":[],"preferred":false,"id":436420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilton, M.R.","contributorId":20555,"corporation":false,"usgs":true,"family":"Hilton","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":436418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70032484,"text":"70032484 - 2011 - Microtopography enhances nitrogen cycling and removal in created mitigation wetlands","interactions":[],"lastModifiedDate":"2012-03-12T17:21:22","indexId":"70032484","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Microtopography enhances nitrogen cycling and removal in created mitigation wetlands","docAbstract":"Natural wetlands often have a heterogeneous soil surface topography, or microtopography (MT), that creates microsites of variable hydrology, vegetation, and soil biogeochemistry. Created mitigation wetlands are designed to mimic natural wetlands in structure and function, and recent mitigation projects have incorporated MT as one way to attain this goal. Microtopography may influence nitrogen (N) cycling in wetlands by providing adjacent areas of aerobic and anaerobic conditions and by increasing carbon storage, which together facilitate N cycling and removal. This study investigated three created wetlands in the Virginia Piedmont that incorporated disking-induced MT during construction. One site had paired disked and undisked plots, allowing an evaluation of the effects of this design feature on N flux rates. Microtopography was measured using conventional survey equipment along a 1-m circular transect and was described using two indices: tortuosity (T), describing soil surface roughness and relief, and limiting elevation difference (LD), describing soil surface relief. Ammonification, nitrification, and net N mineralization were determined with in situ incubation of modified ion-exchange resin cores and denitrification potential was determined using denitrification enzyme assay (DEA). Results demonstrated that disked plots had significantly greater LD than undisked plots one year after construction. Autogenic sources of MT (e.g. tussock-forming vegetation) in concert with variable hydrology and sedimentation maintained and in some cases enhanced MT in study wetlands. Tortuosity and LD values remained the same in one wetland when compared over a two-year period, suggesting a dynamic equilibrium of MT-forming and -eroding processes at play. Microtopography values also increased when comparing the original induced MT of a one-year old wetland with MT of older created wetlands (five and eight years old) with disking-induced MT, indicating that MT can increase by natural processes over time. When examined along a hydrologic gradient, LD increased with proximity to an overflow point as a result of differential sediment deposition and erosion during flood events. Nitrification increased with T and denitrification potential increased with LD, indicating that microtopographic heterogeneity enhances coupled N fluxes. The resulting N flux patterns may be explained by the increase in oxygen availability elicited by greater T (enhancing nitrification) and by the adjacent zones of aerobic and anaerobic conditions elicited by greater LD (enhancing coupled nitrification and denitrification potential). Findings of this study support the incorporation of MT into the design and regulatory evaluation of created wetlands in order to enhance N cycling and removal. ?? 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecoleng.2011.03.013","issn":"09258574","usgsCitation":"Wolf, K., Ahn, C., and Noe, G., 2011, Microtopography enhances nitrogen cycling and removal in created mitigation wetlands: Ecological Engineering, v. 37, no. 9, p. 1398-1406, https://doi.org/10.1016/j.ecoleng.2011.03.013.","startPage":"1398","endPage":"1406","numberOfPages":"9","costCenters":[],"links":[{"id":213786,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2011.03.013"},{"id":241444,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a56abe4b0c8380cd6d73a","contributors":{"authors":[{"text":"Wolf, K.L.","contributorId":37547,"corporation":false,"usgs":true,"family":"Wolf","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":436416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahn, C.","contributorId":22589,"corporation":false,"usgs":true,"family":"Ahn","given":"C.","email":"","affiliations":[],"preferred":false,"id":436415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noe, G.B.","contributorId":66464,"corporation":false,"usgs":true,"family":"Noe","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":436417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034273,"text":"70034273 - 2011 - Native Americans, regional drought and tree Island evolution in the Florida Everglades","interactions":[],"lastModifiedDate":"2013-03-17T11:22:00","indexId":"70034273","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1905,"text":"Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Native Americans, regional drought and tree Island evolution in the Florida Everglades","docAbstract":"This study uses palynologic data to determine the effects of regional climate variability and human activity on the formation and development of tree islands during the last ~4000 years. Although prolonged periods of aridity have been invoked as one mechanism for their formation, Native American land use has also been hypothesized as a driver of tree island development. Using pollen assemblages from head and near tail sediments collected on two tree islands and documented archeological data, the relative roles of Native Americans, climate variability, and recent water-management practices in forming and structuring Everglades tree islands are examined. The timing of changes recorded in the pollen record indicates that tree islands developed from sawgrass marshes ~3800 cal. yr BP, prior to human occupation. Major tree island expansion, recorded near tail sediments, occurred ~1000 years after initial tree island formation. Comparison of the timing of pollen assemblages with other proxy records indicates that tree island expansion is related to regional and global aridity correlated with southward migration of the Intertropical Convergence Zone. Local fire associated with droughts may also have influenced tree island expansion. This work suggests that Native American occupation did not significantly influence tree island formation and that the most important factors governing tree island expansion are extreme hydrologic events due to droughts and intense twentieth century water management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Holocene","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SAGE Publications","publisherLocation":"Thousand Oaks, CA","doi":"10.1177/0959683611400204","issn":"09596836","usgsCitation":"Bernhardt, C., 2011, Native Americans, regional drought and tree Island evolution in the Florida Everglades: Holocene, v. 21, no. 6, p. 967-978, https://doi.org/10.1177/0959683611400204.","productDescription":"12 p.","startPage":"967","endPage":"978","numberOfPages":"12","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":216522,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1177/0959683611400204"},{"id":244399,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 81.0,25.0 ], [ 81.0,27.0 ], [ 80.0,27.0 ], [ 80.0,25.0 ], [ 81.0,25.0 ] ] ] } } ] }","volume":"21","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-20","publicationStatus":"PW","scienceBaseUri":"505a62a2e4b0c8380cd72024","contributors":{"authors":[{"text":"Bernhardt, C. 0000-0003-0082-4731","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":104307,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.","affiliations":[],"preferred":false,"id":445027,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036048,"text":"70036048 - 2011 - Estimating trends in alligator populations from nightlight survey data","interactions":[],"lastModifiedDate":"2021-02-03T18:57:14.263826","indexId":"70036048","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating trends in alligator populations from nightlight survey data","docAbstract":"Nightlight surveys are commonly used to evaluate status and trends of crocodilian populations, but imperfect detection caused by survey- and location-specific factors makes it difficult to draw population inferences accurately from uncorrected data. We used a two-stage hierarchical model comprising population abundance and detection probability to examine recent abundance trends of American alligators (Alligator mississippiensis) in subareas of Everglades wetlands in Florida using nightlight survey data. During 2001–2008, there were declining trends in abundance of small and/or medium sized animals in a majority of subareas, whereas abundance of large sized animals had either demonstrated an increased or unclear trend. For small and large sized class animals, estimated detection probability declined as water depth increased. Detection probability of small animals was much lower than for larger size classes. The declining trend of smaller alligators may reflect a natural population response to the fluctuating environment of Everglades wetlands under modified hydrology. It may have negative implications for the future of alligator populations in this region, particularly if habitat conditions do not favor recruitment of offspring in the near term. Our study provides a foundation to improve inferences made from nightlight surveys of other crocodilian populations.
","language":"English","publisher":"Springer Link","doi":"10.1007/s13157-010-0120-0","issn":"02775212","usgsCitation":"Fujisaki, I., Mazzotti, F., Dorazio, R., Rice, K.G., Cherkiss, M., and Jeffery, B., 2011, Estimating trends in alligator populations from nightlight survey data: Wetlands, v. 31, no. 1, p. 147-155, https://doi.org/10.1007/s13157-010-0120-0.","productDescription":"9 p.","startPage":"147","endPage":"155","costCenters":[],"links":[{"id":246489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218474,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-010-0120-0"}],"country":"United States","state":"Florida","otherGeospatial":"South Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.2109375,\n 25.760319754713887\n ],\n [\n -80.9033203125,\n 25.264568475331583\n ],\n [\n -80.8154296875,\n 25.12539261151203\n ],\n [\n -80.2001953125,\n 25.363882272740256\n ],\n [\n -80.26611328125,\n 26.194876675795218\n ],\n [\n -80.37597656249999,\n 26.686729520004036\n ],\n [\n -81.1669921875,\n 26.64745870265938\n ],\n [\n -80.9912109375,\n 25.859223554761407\n ],\n [\n -81.2109375,\n 25.760319754713887\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-11","publicationStatus":"PW","scienceBaseUri":"505a0b6be4b0c8380cd526f7","contributors":{"authors":[{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":453776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazzotti, F.J.","contributorId":10136,"corporation":false,"usgs":true,"family":"Mazzotti","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":453774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, R.M. 0000-0003-2663-0468","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":23475,"corporation":false,"usgs":true,"family":"Dorazio","given":"R.M.","affiliations":[],"preferred":false,"id":453775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":453777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherkiss, M. 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":103496,"corporation":false,"usgs":true,"family":"Cherkiss","given":"M.","affiliations":[],"preferred":false,"id":453779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeffery, B.","contributorId":53638,"corporation":false,"usgs":true,"family":"Jeffery","given":"B.","email":"","affiliations":[],"preferred":false,"id":453778,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036039,"text":"70036039 - 2011 - Sulfur in the South Florida ecosystem: Distribution, sources, biogeochemistry, impacts, and management for restoration","interactions":[],"lastModifiedDate":"2020-01-28T16:17:13","indexId":"70036039","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Sulfur in the South Florida ecosystem: Distribution, sources, biogeochemistry, impacts, and management for restoration","docAbstract":"Sulfur is broadly recognized as a water quality issue of significance for the freshwater Florida Everglades. Roughly 60% of the remnant Everglades has surface water sulfate concentrations above 1 mg l-1, a restoration performance measure based on present sulfate levels in unenriched areas. Highly enriched marshes in the northern Everglades have average sulfate levels of 60 mg l-1. Sulfate loading to the Everglades is principally a result of land and water management in South Florida. The highest concentrations of sulfate (average 60-70 mg l-1) in the ecosystem are in canal water in the Everglades Agricultural Area (EAA). Potential sulfur sourcesin the watershed are many, but geochemical data and a preliminary sulfur mass balance for the EAA are consistent with sulfur presently used in agricultural, and sulfur released by oxidation of organic EAA soils (including legacy agricultural applications and natural sulfur) as the primary sources of sulfate enrichment in the EAA canals. Sulfate loading to the Everglades increases microbial sulfate reduction in soils, leading to more reducing conditions, greater cycling of nutrients in soils, production of toxic sulfide, and enhanced methylmercury (MeHg) production and bioaccumulation. Wetlands are zones of naturally high MeHg production, but the combination of high atmospheric mercury deposition rates in South Florida and elevated sulfate loading leads to increased MeHg production and MeHg risk to Everglades wildlife and human consumers. Sulfate from the EAA drainage canals penetrates deep into the Everglades Water Conservation Areas, and may extend into Everglades National Park. Present plans to restore sheet flow and to deliver more water to the Everglades may increase overall sulfur loads to the ecosystem, and move sulfate-enriched water further south. However, water management practices that minimize soil drying and rewetting cycles can mitigate sulfate release during soil oxidation. A comprehensive Everglades restoration strategy should include reduction of sulfur loads as a goal because of the many detrimental impacts of sulfate on the ecosystem. Monitoring data show that the ecosystem response to changes in sulfate levels is rapid, and strategies for reducing sulfate loading may be effective in the near term. A multifaceted approach employing best management practices for sulfur in agriculture, agricultural practices that minimize soil oxidation, and changes to stormwater treatment areas that increase sulfate retention could help achieve reduced sulfate loads to the Everglades, with resulting benefits.
","language":"English","publisher":"Taylor and Francis ","doi":"10.1080/10643389.2010.531201","issn":"10643389","usgsCitation":"Orem, W.H., Gilmour, C., Axelrad, D., Krabbenhoft, D.P., Scheidt, D., Kalla, P., McCormick, P., Gabriel, M., and Aiken, G., 2011, Sulfur in the South Florida ecosystem: Distribution, sources, biogeochemistry, impacts, and management for restoration: Critical Reviews in Environmental Science and Technology, v. 41, no. SUPPL. 1, p. 249-288, https://doi.org/10.1080/10643389.2010.531201.","productDescription":"40 p.","startPage":"249","endPage":"288","numberOfPages":"40","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":246357,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.73828125,\n 25.175116531621764\n ],\n [\n -80.386962890625,\n 25.175116531621764\n ],\n [\n -80.386962890625,\n 26.066652138577403\n ],\n [\n -81.73828125,\n 26.066652138577403\n ],\n [\n -81.73828125,\n 25.175116531621764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9dd9e4b08c986b31db12","contributors":{"authors":[{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":453732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmour, C.","contributorId":62382,"corporation":false,"usgs":true,"family":"Gilmour","given":"C.","email":"","affiliations":[],"preferred":false,"id":453727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Axelrad, D.","contributorId":96128,"corporation":false,"usgs":true,"family":"Axelrad","given":"D.","affiliations":[],"preferred":false,"id":453733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":453730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scheidt, D.","contributorId":55674,"corporation":false,"usgs":true,"family":"Scheidt","given":"D.","email":"","affiliations":[],"preferred":false,"id":453726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalla, P.","contributorId":86209,"corporation":false,"usgs":true,"family":"Kalla","given":"P.","affiliations":[],"preferred":false,"id":453731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, P.","contributorId":30022,"corporation":false,"usgs":true,"family":"McCormick","given":"P.","email":"","affiliations":[],"preferred":false,"id":453725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gabriel, M.","contributorId":69000,"corporation":false,"usgs":true,"family":"Gabriel","given":"M.","email":"","affiliations":[],"preferred":false,"id":453728,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aiken, George","contributorId":208828,"corporation":false,"usgs":true,"family":"Aiken","given":"George","affiliations":[],"preferred":true,"id":453729,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70036036,"text":"70036036 - 2011 - Synthesis of isotopically modified ZnO nanoparticles and their potential as nanotoxicity tracers","interactions":[],"lastModifiedDate":"2020-01-09T19:32:01","indexId":"70036036","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of isotopically modified ZnO nanoparticles and their potential as nanotoxicity tracers","docAbstract":"Understanding the behavior of engineered nanoparticles in the environment and within organisms is perhaps the biggest obstacle to the safe development of nanotechnologies. Reliable tracing is a particular issue for nanoparticles such as ZnO, because Zn is an essential element and a common pollutant thus present at elevated background concentrations. We synthesized isotopically enriched (89.6%) with a rare isotope of Zn (67Zn) ZnO nanoparticles and measured the uptake of 67Zn by L. stagnalis exposed to diatoms amended with the particles. Stable isotope technique is sufficiently sensitive to determine the uptake of Zn at an exposure equivalent to lower concentration range (<15 μg g−1). Without a tracer, detection of newly accumulated Zn is significant at Zn exposure concentration only above 5000 μg g−1 which represents some of the most contaminated Zn conditions. Only by using a tracer we can study Zn uptake at a range of environmentally realistic exposure conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2010.08.032","issn":"02697491","usgsCitation":"Dybowska, A., Croteau, M.N., Misra, S., Berhanu, D., Luoma, S.N., Christian, P., O'Brien, P., and Valsami-Jones, E., 2011, Synthesis of isotopically modified ZnO nanoparticles and their potential as nanotoxicity tracers: Environmental Pollution, v. 159, no. 1, p. 266-273, https://doi.org/10.1016/j.envpol.2010.08.032.","productDescription":"8 p.","startPage":"266","endPage":"273","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":246294,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218295,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2010.08.032"}],"volume":"159","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba355e4b08c986b31fc73","chorus":{"doi":"10.1016/j.envpol.2010.08.032","url":"http://dx.doi.org/10.1016/j.envpol.2010.08.032","publisher":"Elsevier BV","authors":"Dybowska Agnieszka D., Croteau Marie-Noele, Misra Superb K., Berhanu Deborah, Luoma Samuel N., Christian Paul, O’Brien Paul, Valsami-Jones Eugenia","journalName":"Environmental Pollution","publicationDate":"1/2011"},"contributors":{"authors":[{"text":"Dybowska, A.D.","contributorId":85443,"corporation":false,"usgs":true,"family":"Dybowska","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":453713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":453710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Misra, S.K.","contributorId":47989,"corporation":false,"usgs":true,"family":"Misra","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":453711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berhanu, D.","contributorId":86177,"corporation":false,"usgs":true,"family":"Berhanu","given":"D.","email":"","affiliations":[],"preferred":false,"id":453714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":453715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christian, P.","contributorId":58527,"corporation":false,"usgs":true,"family":"Christian","given":"P.","email":"","affiliations":[],"preferred":false,"id":453712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Brien, P.","contributorId":98600,"corporation":false,"usgs":true,"family":"O'Brien","given":"P.","affiliations":[],"preferred":false,"id":453716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valsami-Jones, E.","contributorId":103088,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"E.","affiliations":[],"preferred":false,"id":453717,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036035,"text":"70036035 - 2011 - Understanding the role of fog in forest hydrology: Stable isotopes as tools for determining input and partitioning of cloud water in montane forests","interactions":[],"lastModifiedDate":"2021-02-03T20:17:37.937394","indexId":"70036035","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Understanding the role of fog in forest hydrology: Stable isotopes as tools for determining input and partitioning of cloud water in montane forests","docAbstract":"Understanding the hydrology of tropical montane cloud forests (TMCF) has become essential as deforestation of mountain areas proceeds at an increased rate worldwide. Passive and active cloud‐water collectors, throughfall and stemflow collectors, visibility or droplet size measurements, and micrometeorological sensors are typically used to measure the fog water inputs to ecosystems. In addition, stable isotopes may be used as a natural tracer for fog and rain. Previous studies have shown that the isotopic signature of fog tends to be more enriched in the heavier isotopes 2H and 18O than that of rain, due to differences in condensation temperature and history. Differences between fog and rain isotopes are largest when rain is from synoptic‐scale storms, and fog or orographic cloud water is generated locally. Smaller isotopic differences have been observed between rain and fog on mountains with orographic clouds, but only a few studies have been conducted. Quantifying fog deposition using isotope methods is more difficult in forests receiving mixed precipitation, because of limitations in the ability of sampling equipment to separate fog from rain, and because fog and rain may, under some conditions, have similar isotopic composition. This article describes the various types of fog most relevant to montane cloud forests and the importance of fog water deposition in the hydrologic budget. A brief overview of isotope hydrology provides the background needed to understand isotope applications in cloud forests. A summary of previous work explains isotopic differences between rain and fog in different environments, and how monitoring the isotopic signature of surface water, soil water and tree xylem water can yield estimates of the contribution of fog water to streamflow, groundwater recharge and transpiration. Next, instrumentation to measure fog and rain, and methods to determine isotopic concentrations in plant and soil water are discussed. The article concludes with the identification of some of the more pressing research questions in this field and offers various suggestions for future research.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7762","issn":"08856087","usgsCitation":"Scholl, M.A., Eugster, W., and Burkard, R., 2011, Understanding the role of fog in forest hydrology: Stable isotopes as tools for determining input and partitioning of cloud water in montane forests: Hydrological Processes, v. 25, no. 3, p. 353-366, https://doi.org/10.1002/hyp.7762.","productDescription":"14 p.","startPage":"353","endPage":"366","costCenters":[],"links":[{"id":475414,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.7762","text":"Publisher Index Page"},{"id":246293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218294,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7762"}],"volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-12-23","publicationStatus":"PW","scienceBaseUri":"505bbc5fe4b08c986b328bc2","contributors":{"authors":[{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":453707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eugster, W.","contributorId":32701,"corporation":false,"usgs":true,"family":"Eugster","given":"W.","email":"","affiliations":[],"preferred":false,"id":453708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkard, R.","contributorId":63250,"corporation":false,"usgs":true,"family":"Burkard","given":"R.","email":"","affiliations":[],"preferred":false,"id":453709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036012,"text":"70036012 - 2011 - Secular trends in storm-level geomagnetic activity","interactions":[],"lastModifiedDate":"2018-10-26T14:11:19","indexId":"70036012","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":780,"text":"Annales Geophysicae","active":true,"publicationSubtype":{"id":10}},"title":"Secular trends in storm-level geomagnetic activity","docAbstract":"Analysis is made of K-index data from groups of ground-based geomagnetic observatories in Germany, Britain, and Australia, 1868.0–2009.0, solar cycles 11–23. Methods include nonparametric measures of trends and statistical significance used by the hydrological and climatological research communities. Among the three observatory groups, German K data systematically record the highest disturbance levels, followed by the British and, then, the Australian data. Signals consistently seen in K data from all three observatory groups can be reasonably interpreted as physically meaninginful: (1) geomagnetic activity has generally increased over the past 141 years. However, the detailed secular evolution of geomagnetic activity is not well characterized by either a linear trend nor, even, a monotonic trend. Therefore, simple, phenomenological extrapolations of past trends in solar and geomagnetic activity levels are unlikely to be useful for making quantitative predictions of future trends lasting longer than a solar cycle or so. (2) The well-known tendency for magnetic storms to occur during the declining phase of a sunspot-solar cycles is clearly seen for cycles 14–23; it is not, however, clearly seen for cycles 11–13. Therefore, in addition to an increase in geomagnetic activity, the nature of solar-terrestrial interaction has also apparently changed over the past 141 years.
","language":"English","publisher":"EGU","doi":"10.5194/angeo-29-251-2011","issn":"09927689","usgsCitation":"Love, J., 2011, Secular trends in storm-level geomagnetic activity: Annales Geophysicae, v. 29, no. 2, p. 251-262, https://doi.org/10.5194/angeo-29-251-2011.","productDescription":"12 p.","startPage":"251","endPage":"262","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":475271,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/angeo-29-251-2011","text":"Publisher Index Page"},{"id":246420,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218417,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/angeo-29-251-2011"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-03","publicationStatus":"PW","scienceBaseUri":"505b8944e4b08c986b316d7d","contributors":{"authors":[{"text":"Love, J.J.","contributorId":66626,"corporation":false,"usgs":true,"family":"Love","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":453603,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70035982,"text":"70035982 - 2011 - Influence of changing water sources and mineral chemistry on the everglades ecosystem","interactions":[],"lastModifiedDate":"2021-02-04T17:44:05.130804","indexId":"70035982","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of changing water sources and mineral chemistry on the everglades ecosystem","docAbstract":"Human influences during the previous century increased mineral inputs to the Florida Everglades by changing the sources and chemistry of surface inflows. Biogeochemical responses to this enrichment include changes in the availability of key limiting nutrients such as P, the potential for increased turnover of nutrient pools due to accelerated plant decomposition, and increased rates of mercury methylation associated with sulfate enrichment. Mineral enrichment has also been linked to the loss of sensitive macrophyte species, although dominant Everglades species appear tolerant of a broad range of mineral chemistry. Shifts in periphyton community composition and function provide an especially sensitive indicator of mineral enrichment. Understanding the influence of mineral chemistry on Everglades processes and biota may improve predictions of ecosystem responses to ongoing hydrologic restoration efforts and provide guidelines for protecting remaining mineral-poor areas of this peatland.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/10643389.2010.530921","issn":"10643389","usgsCitation":"McCormick, P.V., Harvey, J., and Crawford, E., 2011, Influence of changing water sources and mineral chemistry on the everglades ecosystem: Critical Reviews in Environmental Science and Technology, v. 41, no. SUPPL. 1, p. 28-63, https://doi.org/10.1080/10643389.2010.530921.","productDescription":"36 p.","startPage":"28","endPage":"63","costCenters":[],"links":[{"id":244193,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216330,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10643389.2010.530921"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.782470703125,\n 25.24469595130604\n ],\n [\n -79.881591796875,\n 25.24469595130604\n ],\n [\n -79.881591796875,\n 26.980828590472107\n ],\n [\n -80.782470703125,\n 26.980828590472107\n ],\n [\n -80.782470703125,\n 25.24469595130604\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3b17e4b0c8380cd6220c","contributors":{"authors":[{"text":"McCormick, Paul V.","contributorId":92756,"corporation":false,"usgs":true,"family":"McCormick","given":"Paul","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":453449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":453448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Eric","contributorId":9903,"corporation":false,"usgs":true,"family":"Crawford","given":"Eric","email":"","affiliations":[],"preferred":false,"id":453447,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70034238,"text":"70034238 - 2011 - Classifying the hydrologic function of prairie potholes with remote sensing and GIS","interactions":[],"lastModifiedDate":"2017-04-06T13:33:15","indexId":"70034238","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Classifying the hydrologic function of prairie potholes with remote sensing and GIS","docAbstract":"A sequence of Landsat TM/ETM+ scenes capturing the substantial surface water variations exhibited by prairie pothole wetlands over a drought to deluge period were analyzed in an attempt to determine the general hydrologic function of individual wetlands (recharge, flow-through, and discharge). Multipixel objects (water bodies) were clustered according to their temporal changes in water extents. We found that wetlands receiving groundwater discharge responded differently over the time period than wetlands that did not. Also, wetlands located within topographically closed discharge basins could be distinguished from discharge basins with overland outlets. Field verification data showed that discharge wetlands with closed basins were most distinct and identifiable with reasonable accuracies (user’s accuracy = 97%, producer’s accuracy = 71%). The classification of other hydrologic function types had lower accuracies reducing the overall accuracy for the four hydrologic function classes to 51%. A simplified classification approach identifying only two hydrologic function classes was 82%. Although this technique has limited success for detecting small wetlands, Landsat-derived multipixel-object clustering can reliably differentiate wetlands receiving groundwater discharge and provides a new approach to quantify wetland dynamics in landscape scale investigations and models.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-011-0146-y","issn":"02775212","usgsCitation":"Rover, J.R., Wright, C., Euliss, N.H., Mushet, D.M., and Wylie, B.K., 2011, Classifying the hydrologic function of prairie potholes with remote sensing and GIS: Wetlands, v. 31, no. 2, p. 319-327, https://doi.org/10.1007/s13157-011-0146-y.","productDescription":"9 p.","startPage":"319","endPage":"327","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":216944,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-011-0146-y"},{"id":244846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-22","publicationStatus":"PW","scienceBaseUri":"5059f632e4b0c8380cd4c5f3","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":444842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, C.K.","contributorId":25780,"corporation":false,"usgs":true,"family":"Wright","given":"C.K.","affiliations":[],"preferred":false,"id":444841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":444843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":444844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":444840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70032419,"text":"70032419 - 2011 - Simulating the potential effects of climate change in two Colorado basins and at two Colorado ski areas","interactions":[],"lastModifiedDate":"2020-01-28T15:31:02","indexId":"70032419","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the potential effects of climate change in two Colorado basins and at two Colorado ski areas","docAbstract":"The mountainous areas of Colorado are used for tourism and recreation, and they provide water storage and supply for municipalities, industries, and agriculture. Recent studies suggest that water supply and tourist industries such as skiing are at risk from climate change. In this study, a distributed-parameter watershed model, the Precipitation-Runoff Modeling System (PRMS), is used to identify the potential effects of future climate on hydrologic conditions for two Colorado basins, the East River at Almont and the Yampa River at Steamboat Springs, and at the subbasin scale for two ski areas within those basins.
Climate-change input files for PRMS were generated by modifying daily PRMS precipitation and temperature inputs with mean monthly climate-change fields of precipitation and temperature derived from five general circulation model (GCM) simulations using one current and three future carbon emission scenarios. All GCM simulations of mean daily minimum and maximum air temperature for the East and Yampa River basins indicate a relatively steady increase of up to several degrees Celsius from baseline conditions by 2094. GCM simulations of precipitation in the two basins indicate little change or trend in precipitation, but there is a large range associated with these projections. PRMS projections of basin mean daily streamflow vary by scenario but indicate a central tendency toward slight decreases, with a large range associated with these projections.
Decreases in water content or changes in the spatial extent of snowpack in the East and Yampa River basins are important because of potential adverse effects on water supply and recreational activities. PRMS projections of each future scenario indicate a central tendency for decreases in basin mean snow-covered area and snowpack water equivalent, with the range in the projected decreases increasing with time. However, when examined on a monthly basis, the projected decreases are most dramatic during fall and spring. Presumably, ski area locations are picked because of a tendency to receive snow and keep snowpack relative to the surrounding area. This effect of ski area location within the basin was examined by comparing projections of March snow-covered area and snowpack water equivalent for the entire basin with more local projections for the portion of the basin that represents the ski area in the PRMS models. These projections indicate a steady decrease in March snow-covered area for the basins but only small changes in March snow-covered area at both ski areas for the three future scenarios until around 2050. After 2050, larger decreases are possible, but there is a large range in the projections of future scenarios. The rates of decrease for snowpack water equivalent and precipitation that falls as snow are similar at the basin and subbasin scale in both basins. Results from this modeling effort show that there is a wide range of possible outcomes for future snowpack conditions in Colorado. The results also highlight the differences between projections for entire basins and projections for local areas or subbasins within those basins.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2011EI373.1","usgsCitation":"Battaglin, W., Hay, L.E., and Markstrom, S., 2011, Simulating the potential effects of climate change in two Colorado basins and at two Colorado ski areas: Earth Interactions, v. 15, no. 22, p. 1-23, https://doi.org/10.1175/2011EI373.1.","productDescription":"23 p.","startPage":"1","endPage":"23","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2011ei373.1","text":"Publisher Index Page"},{"id":241440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"East River, Yampa 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Steve","contributorId":23682,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steve","affiliations":[],"preferred":false,"id":513951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70035928,"text":"70035928 - 2011 - Dissolved organic matter in the Florida everglades: Implications for ecosystem restoration","interactions":[],"lastModifiedDate":"2020-01-11T11:48:53","indexId":"70035928","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1345,"text":"Critical Reviews in Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved organic matter in the Florida everglades: Implications for ecosystem restoration","docAbstract":"Dissolved organic matter (DOM) in the Florida Everglades controls a number of environmental processes important for ecosystem function including the absorption of light, mineral dissolution/precipitation, transport of hydrophobic compounds (e.g., pesticides), and the transport and reactivity of metals, such as mercury. Proposed attempts to return the Everglades to more natural flow conditions will result in changes to the present transport of DOM from the Everglades Agricultural Area and the northern conservation areas to Florida Bay. In part, the restoration plan calls for increasing water flow throughout the Everglades by removing some of the manmade barriers to flow in place today. The land- and water-use practices associated with the plan will likely result in changes in the quality, quantity, and reactivity of DOM throughout the greater Everglades ecosystem. The authors discuss the factors controlling DOM concentrations and chemistry, present distribution of DOM throughout the Everglades, the potential effects of DOM on key water-quality issues, and the potential utility of dissolved organic matter as an indicator of success of restoration efforts.
","language":"English","publisher":"Taylor and Francis ","doi":"10.1080/10643389.2010.530934","issn":"10643389","usgsCitation":"Aiken, G., Gilmour, C., Krabbenhoft, D., and Orem, W., 2011, Dissolved organic matter in the Florida everglades: Implications for ecosystem restoration: Critical Reviews in Environmental Science and Technology, v. 41, no. SUPPL. 1, p. 217-248, https://doi.org/10.1080/10643389.2010.530934.","productDescription":"32 p.","startPage":"217","endPage":"248","numberOfPages":"32","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244283,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.61468505859375,\n 25.122905883812052\n ],\n [\n -80.43914794921875,\n 25.122905883812052\n ],\n [\n -80.43914794921875,\n 25.8814655232439\n ],\n [\n -81.61468505859375,\n 25.8814655232439\n ],\n [\n -81.61468505859375,\n 25.122905883812052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"SUPPL. 1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a023ae4b0c8380cd4ff61","contributors":{"authors":[{"text":"Aiken, G. R. 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":14452,"corporation":false,"usgs":true,"family":"Aiken","given":"G. R.","affiliations":[],"preferred":false,"id":453174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmour, C.C.","contributorId":63558,"corporation":false,"usgs":true,"family":"Gilmour","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":453175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, D. P. 0000-0003-1964-5020","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":90765,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"D. P.","affiliations":[],"preferred":false,"id":453177,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orem, W. 0000-0003-4990-0539","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":87335,"corporation":false,"usgs":true,"family":"Orem","given":"W.","affiliations":[],"preferred":false,"id":453176,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70035920,"text":"70035920 - 2011 - Canopy water balance of windward and leeward Hawaiian cloud forests on Haleakalā, Maui, Hawai'i","interactions":[],"lastModifiedDate":"2015-03-12T13:42:09","indexId":"70035920","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Canopy water balance of windward and leeward Hawaiian cloud forests on Haleakalā, Maui, Hawai'i","docAbstract":"The contribution of intercepted cloud water to precipitation at windward and leeward cloud forest sites on the slopes of Haleakalā, Maui was assessed using two approaches. Canopy water balance estimates based on meteorological monitoring were compared with interpretations of fog screen measurements collected over a 2-year period at each location. The annual incident rainfall was 973 mm at the leeward site (Auwahi) and 2550 mm at the windward site (Waikamoi). At the leeward, dry forest site, throughfall was less than rainfall (87%), and, at the windward, wet forest site, throughfall exceeded rainfall (122%). Cloud water interception estimated from canopy water balance was 166 mm year−1 at Auwahi and 1212 mm year−1 at Waikamoi. Annual fog screen measurements of cloud water flux, corrected for wind-blown rainfall, were 132 and 3017 mm for the dry and wet sites respectively. Event totals of cloud water flux based on fog screen measurements were poorly correlated with event cloud water interception totals derived from the canopy water balance. Hence, the use of fixed planar fog screens to estimate cloud water interception is not recommended. At the wet windward site, cloud water interception made up 32% of the total precipitation, adding to the already substantial amount of rainfall. At the leeward dry site, cloud water interception was 15% of the total precipitation. Vegetation at the dry site, where trees are more exposed and isolated, was more efficient at intercepting the available cloud water than at the rainy site, but events were less frequent, shorter in duration and lower in intensity. A large proportion of intercepted cloud water, 74% and 83%, respectively for the two sites, was estimated to become throughfall, thus adding significantly to soil water at both sites
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7738","issn":"08856087","usgsCitation":"Giambelluca, T.W., DeLay, J.K., Nullet, M.A., Scholl, M.A., and Gingerich, S.B., 2011, Canopy water balance of windward and leeward Hawaiian cloud forests on Haleakalā, Maui, Hawai'i: Hydrological Processes, v. 25, no. 3, p. 438-447, https://doi.org/10.1002/hyp.7738.","productDescription":"10 p.","startPage":"438","endPage":"447","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216232,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7738"}],"country":"United States","state":"Hawaii","otherGeospatial":"Haleakala, Maui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.28189086914062,\n 20.63535463961231\n ],\n [\n -156.28189086914062,\n 20.77409105752739\n ],\n [\n -156.03607177734375,\n 20.77409105752739\n ],\n [\n -156.03607177734375,\n 20.63535463961231\n ],\n [\n -156.28189086914062,\n 20.63535463961231\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-12-27","publicationStatus":"PW","scienceBaseUri":"5059f345e4b0c8380cd4b6e2","chorus":{"doi":"10.1002/hyp.7738","url":"http://dx.doi.org/10.1002/hyp.7738","publisher":"Wiley-Blackwell","authors":"Giambelluca Thomas W., DeLay John K., Nullet Michael A., Scholl Martha A., Gingerich Stephen B.","journalName":"Hydrological Processes","publicationDate":"12/27/2010"},"contributors":{"authors":[{"text":"Giambelluca, Thomas W.","contributorId":70069,"corporation":false,"usgs":true,"family":"Giambelluca","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":453144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLay, John K.","contributorId":15432,"corporation":false,"usgs":true,"family":"DeLay","given":"John","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":453140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nullet, Michael A.","contributorId":83212,"corporation":false,"usgs":true,"family":"Nullet","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":453141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":453143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":453142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035362,"text":"70035362 - 2011 - Effect of tidal fluctuations on transient dispersion of simulated contaminant concentrations in coastal aquifers","interactions":[],"lastModifiedDate":"2026-01-27T18:49:50.904694","indexId":"70035362","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of tidal fluctuations on transient dispersion of simulated contaminant concentrations in coastal aquifers","docAbstract":"Variable-density groundwater models require extensive computational resources, particularly for simulations representing short-term hydrologic variability such as tidal fluctuations. Saltwater-intrusion models usually neglect tidal fluctuations and this may introduce errors in simulated concentrations. The effects of tides on simulated concentrations in a coastal aquifer were assessed. Three analyses are reported: in the first, simulations with and without tides were compared for three different dispersivity values. Tides do not significantly affect the transfer of a hypothetical contaminant into the ocean; however, the concentration difference between tidal and non-tidal simulations could be as much as 15%. In the second analysis, the dispersivity value for the model without tides was increased in a zone near the ocean boundary. By slightly increasing dispersivity in this zone, the maximum concentration difference between the simulations with and without tides was reduced to as low as 7%. In the last analysis, an apparent dispersivity value was calculated for each model cell using the simulated velocity variations from the model with tides. Use of apparent dispersivity values in models with a constant ocean boundary seems to provide a reasonable approach for approximating tidal effects in simulations where explicit representation of tidal fluctuations is not feasible.
","language":"English, French, Spanish","doi":"10.1007/s10040-011-0763-9","issn":"14312174","usgsCitation":"La Licata, I., Langevin, C.D., Dausman, A.M., and Alberti, L., 2011, Effect of tidal fluctuations on transient dispersion of simulated contaminant concentrations in coastal aquifers: Hydrogeology Journal, v. 19, no. 7, p. 1313-1322, https://doi.org/10.1007/s10040-011-0763-9.","productDescription":"10 p.","startPage":"1313","endPage":"1322","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":242940,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215161,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-011-0763-9"}],"volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-21","publicationStatus":"PW","scienceBaseUri":"505a0625e4b0c8380cd51108","contributors":{"authors":[{"text":"La Licata, Ivana","contributorId":15922,"corporation":false,"usgs":true,"family":"La Licata","given":"Ivana","email":"","affiliations":[],"preferred":false,"id":450334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":450332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dausman, Alyssa M. adausman@usgs.gov","contributorId":1545,"corporation":false,"usgs":true,"family":"Dausman","given":"Alyssa","email":"adausman@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":450335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alberti, Luca","contributorId":34817,"corporation":false,"usgs":true,"family":"Alberti","given":"Luca","email":"","affiliations":[],"preferred":false,"id":450333,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}