The Coeur d’Alene mining district in northern Idaho historically was a globally important source of lead, zinc, and silver, but over 100 years of mining has left a legacy of metals contamination in the Coeur d’Alene River valley. Previous studies by the U.S. Geological Survey (USGS) and others have indicated that groundwater discharging into the South Fork Coeur d’Alene River between Kellogg and Smelterville, Idaho, is a substantial source of dissolved zinc, dissolved cadmium, and total phosphorus. As part of its ongoing cleanup efforts, the U.S. Environmental Protection Agency is constructing a groundwater collection and treatment system to intercept and treat this contaminated water before it reaches the river.
To establish conditions prior to construction, the USGS conducted a seepage study in September 2017 to quantify the rate and quality of groundwater discharging into the South Fork Coeur d’Alene River between Kellogg and Smelterville. Repeated measurements of streamflow were taken at multiple locations in the river and tributaries, and water-quality samples were collected and analyzed for trace metals and nutrients. Results showed consistent increases in streamflow (5.8 ± 1.3 cubic feet per second); and in dissolved zinc (85 ± 9.3 kilograms per day [kg/d]), dissolved cadmium (0.58 ± 0.10 kg/d) and total phosphorus (6.3 ± 0.45 kg/d) loads in a discrete segment of the reach. These gains exceeded tributary inputs, thereby implicating groundwater discharge as the main source of loading. Zinc and cadmium loads from groundwater in 2017 were less than those measured in 1999 but comparable to those measured from 2003 to 2008. This suggests that remedial actions in the late 1990s and early 2000s decreased trace-metal loading from 1999 to 2003, but that conditions remained similar from 2003 to 2017. A second seepage study will be conducted after construction and treatment plant system optimization are complete; this second study will evaluate changes in groundwater discharge to and water quality in the South Fork Coeur d’Alene River compared to the pre-construction conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195113","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Zinsser, L.M., 2019, Trace metal and nutrient loads from groundwater seepage into the South Fork Coeur d’Alene River near Smelterville, northern Idaho, 2017 (ver. 1.1, April 2023): U.S. Geological Survey Scientific Investigations Report 2019-5113, 22 p., https://doi.org/10.3133/sir20195113.","productDescription":"vi, 22 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-101400","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":500444,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109356.htm","linkFileType":{"id":5,"text":"html"}},{"id":415256,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5113/sir20195113_RevisionHistory.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2019-5113 Revision History"},{"id":369260,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5113/sir20195113.pdf","text":"Report","size":"5.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5113"},{"id":369259,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5113/coverthb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.9769287109375,\n 47.297859249409825\n ],\n [\n -116.14196777343749,\n 47.297859249409825\n ],\n [\n -116.14196777343749,\n 47.883197023516125\n ],\n [\n -116.9769287109375,\n 47.883197023516125\n ],\n [\n -116.9769287109375,\n 47.297859249409825\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0; November 2019; Version 1.1: April 2023","contact":"Director, Idaho Water Science Center
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The California Department of Water Resources (DWR) requested analysis of juvenile Chinook salmon survival in the Sacramento-San Joaquin River Delta (henceforth identified as “the Delta”) as part of an effects analysis that will be included in an Incidental Take Permit (ITP) Application. This application is in compliance with the California Endangered Species Act (CESA) and Environmental Impact Report (EIR), which is itself in compliance with California Environmental Quality Act (CEQA). DWR is seeking an ITP and preparing CEQA compliance documentation for long-term operation of the State Water Project (SWP). DWR requested assistance from the U.S. Geological Survey to aid in determining the effect of two proposed projects on juvenile Chinook salmon (Oncorhynchus tshawytscha) populations migrating through the Delta. Therefore, in this report we analyzed an 82-year time series of simulated river flows and Delta Cross Channel (DCC) gate operations under three scenarios constructed for the ITP: the proposed project (PP), the second proposed project (PP2b) and the existing (EX) scenarios.
To evaluate the proposed projects (PP and PP2b), we used the STARS model (Survival, Travel time, And Routing Simulation model), a stochastic, individual-based simulation model designed to predict survival of a cohort of fish that experience variable daily river flows during migration through the Delta. The STARS model uses parameter estimates from a Bayesian mark-recapture model that jointly estimates travel time and survival in eight discrete reaches of the Delta and migration routing at two key river junctions.
By applying the STARS model to the three 82-year scenarios, we found that both proposed projects had negative effects on survival, travel time, and routing in November but slightly positive effects in October, December, and May, and in June for only the PP. In November, there was a high probability that survival for PP and PP2b were less than EX and that travel time and routing to the Interior Delta for PP and PP2b were greater than for EX. We found that the magnitude of the difference in survival between scenarios was large in some years. For example, survival under both the PP and PP2b scenarios were 10 percent lower than EX in 25 percent of the water years in November. During this period, inflow to the Delta tended to be lower under the PP and PP2b scenarios, and the DCC gate was open more frequently under the PP and PP2b scenarios relative to the EX scenario. Lower inflow reduces survival, and more frequent operation of the DCC gate 1) increases the proportion of fish entering the Interior Delta, where survival is low, and thus 2) reduces survival in the Sacramento River in reaches downstream of the DCC. In contrast, during October, December, May (both PP and PP2b), and June (PP only), survival was slightly higher, travel times were lower, and routing to the Interior Delta was lower under the PP and PP2b relative to the EX scenario in the same time period, although the magnitude of the increase was relatively small in most years (less than two percent). This difference between scenarios was driven by higher river flows in some years under the PP and PP2b relative to the EX scenario. Overall, the differences in survival, travel time, and routing distance between the three operational scenarios were primarily driven by the timing and magnitude of the annual high river flows.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191127","collaboration":"Prepared in cooperation with California Department of Water Resources","usgsCitation":"Perry, R.W., Hansen, A.C., Evans, S.D., and Kock, T.J., 2019, Using the STARS Model to evaluate the effects of two proposed projects for the long-term operation of State Water Project Incidental Take Permit Application and CEQA compliance (ver. 2.0, February 2020): U.S. Geological Survey Open-File Report 2019-1127, 39 p. plus appendixes, https://doi.org/10.3133/ofr20191127.","productDescription":"Report: vii, 31 p.; Appendixes 1-8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-112215","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":372670,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix7.pdf","text":"Appendix 7","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 7","linkHelpText":"– Simulated Daily Routing by Year, Existing Conditions Compared to Proposed Project 2b Scenarios, 1922–2003"},{"id":369242,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix2.pdf","text":"Appendix 2","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 2","linkHelpText":"– Simulated Daily Travel Time by Year, Existing Conditions Compared to Proposed Project Scenarios, 1922–2003"},{"id":372669,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix6.pdf","text":"Appendix 6","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 6","linkHelpText":"– Simulated Daily Travel Time by Year, Existing Conditions Compared to Proposed Project 2b Scenarios, 1922–2003"},{"id":372668,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix5.pdf","text":"Appendix 5","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 5","linkHelpText":"– Simulated Daily Survival by Year, Existing Conditions Compared to Proposed Project 2b Scenarios, 1922–2003"},{"id":369244,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix4.pdf","text":"Appendix 4","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 4","linkHelpText":"– Simulated Proportion of Fish Entering the Interior Delta by Year, Existing Conditions Compared to Proposed Project Scenarios, 1922–2003"},{"id":369243,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix3.pdf","text":"Appendix 3","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 3","linkHelpText":"– Simulated Daily Routing by Year, Existing Conditions Compared to Proposed Project Scenarios, 1922–2003"},{"id":369239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1127/coverthb2.jpg"},{"id":369240,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127"},{"id":369241,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix1.pdf","text":"Appendix 1","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 1","linkHelpText":"– Simulated Daily Survival by Year, Existing Conditions Compared to Proposed Project Scenarios, 1922–2003"},{"id":372672,"rank":11,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2019/1127/versionHist.txt","size":"8 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":372671,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1127/ofr20191127_Appendix8.pdf","text":"Appendix 8","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1127 Appendix 8","linkHelpText":"– Simulated Proportion of Fish Entering the Interior Delta by Year, Existing Conditions Compared to Proposed Project 2b Scenarios, 1922–2003"}],"country":"United States","state":"California ","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.9150390625,\n 38.46219172306828\n ],\n [\n -122.1240234375,\n 38.46219172306828\n ],\n [\n -122.1240234375,\n 38.993572058209466\n ],\n [\n -122.9150390625,\n 38.993572058209466\n ],\n [\n -122.9150390625,\n 38.46219172306828\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: November 2019; 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The goal of this multiyear study was to examine how changes to an upstream fishway entrance impacted the passage rate of adult American shad (Alosa sapidissima). We evaluated a total of nine treatment conditions that consisted of three fishway entrance gate types and three submergence depths (i.e., the water surface elevation of the tailwater relative to the height of the gate crest). Approximately 2,000 wild, actively migrating shad participated in one of the 64 total trials (6–8 trials per treatment) that were conducted for this experiment. The three fishway entrance gate types were the vertical gate (the most common entrance gate type used in fishways), the overshot gate (less common in fishways), and the reversed overshot gate (novel to fishways). The submergence depths ranged from 30.5 to 91.4 cm above the gate crest. Increases to the submergence depth were shown to be the most influential predictor variable of passage time, followed by gate type and river temperature. The reversed overshot and overshot gates outperformed the vertical gate with the best performance occurring for the newly introduced reversed overshot gate type. The results of this study provide guidance on methods to improve fishway attraction and entry rates to numerous state and federal resource agencies and the hydropower industry.
","language":"English","publisher":"AGU","doi":"10.1029/2018WR024400","usgsCitation":"Mulligan, K., Haro, A.J., Towler, B., Sojkowski, B., and Noreika, J., 2019, Fishway entrance gate experiments with adult American Shad: Water Resources Research, v. 55, no. 12, p. 10839-10855, https://doi.org/10.1029/2018WR024400.","productDescription":"17 p.","startPage":"10839","endPage":"10855","ipdsId":"IP-095295","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":370523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":778132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":778133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Towler, Brett","contributorId":141164,"corporation":false,"usgs":false,"family":"Towler","given":"Brett","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":778134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sojkowski, Bryan","contributorId":221424,"corporation":false,"usgs":false,"family":"Sojkowski","given":"Bryan","email":"","affiliations":[{"id":40373,"text":"United States Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":778135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noreika, John 0000-0002-6637-5812 jnoreika@usgs.gov","orcid":"https://orcid.org/0000-0002-6637-5812","contributorId":221425,"corporation":false,"usgs":true,"family":"Noreika","given":"John","email":"jnoreika@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":778136,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70207154,"text":"70207154 - 2019 - Review of and recommendations for monitoring contaminants and their effects in the San Francisco Bay−Delta","interactions":[],"lastModifiedDate":"2019-12-09T20:13:40","indexId":"70207154","displayToPublicDate":"2019-11-15T15:46:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Review of and recommendations for monitoring contaminants and their effects in the San Francisco Bay−Delta","docAbstract":"Legacy and current-use contaminants enter into and accumulate throughout the San Francisco Bay−Delta (Bay−Delta), and are present at concentrations with known effects on species important to this diverse watershed. There remains major uncertainty and a lack of focused research able to address and provide understanding of effects across multiple biological scales, despite previous and ongoing emphasis on the need for it. These needs are challenging specifically because of the established regulatory programs that often monitor on a chemical-\nby-chemical basis, or in which decisions are grounded in lethality-based endpoints. To best address issues of contaminants in the Bay−Delta, monitoring efforts should consider effects of environmentally relevant mixtures and sub- lethal impacts that can affect ecosystem health. These efforts need to consider the complex environment in the Bay−Delta including variable abiotic (e.g., temperature, salinity) and biotic (e.g., pathogens) factors. This calls for controlled and focused research, and the development of a multi-disciplinary contaminant monitoring and assessment program that provides information across biological scales. Information gained in this manner will contribute toward evaluating parameters that could alleviate ecologically detrimental outcomes. This review is a result of a Special Symposium convened at the University of California−Davis (UCD) on January 31, 2017 to address critical information needed on how contaminants affect the Bay−Delta. The UCD Symposium focused on new tools and approaches for assessing multiple stressor effects to freshwater and estuarine systems. Our approach is similar to the recently proposed framework laid out by the U.S. Environmental Protection Agency (USEPA) that uses weight of evidence to scale toxicological responses to chemical contaminants in a laboratory, and to guide the conservation of priority species and habitats. As such, we also aimed to recommend multiple endpoints that could be used to promote a multi-disciplinary understanding of contaminant risks in Bay−Delta while supporting management needs.","language":"English","publisher":"University of California-Davis","doi":"10.15447/sfews.2019v17iss4art2","usgsCitation":"Connon, R., Hasenbein, S., Brander, S.M., Poynton, H.C., Holland, E.B., Schlenk, D., Orlando, J., Hladik, M.L., Collier, T.K., Scholz, N.L., Incardona, J., Denslow, N.D., Hamdoun, A., Nicklisch, S., Garcia-Reyero, N., Perkins, E.J., Gallagher, E.P., Deng, X., Wang, D., Fong, S., Breuer, R.S., Hajibabei, M., Brown, J.B., Colbourne, J.K., Young, T.M., Cherr, G., Whitehead, A., and Todgham, A.E., 2019, Review of and recommendations for monitoring contaminants and their effects in the San Francisco Bay−Delta: San Francisco Estuary and Watershed Science, v. 17, no. 4, 42 p., https://doi.org/10.15447/sfews.2019v17iss4art2.","productDescription":"42 p.","ipdsId":"IP-105523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":459176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2019v17iss4art2","text":"Publisher Index Page"},{"id":370121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California ","otherGeospatial":"San Francisco Bay-Delta ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.64013671874999,\n 37.10776507118514\n ],\n [\n -121.26708984374999,\n 37.10776507118514\n ],\n [\n -121.26708984374999,\n 38.736946065676\n ],\n [\n -123.64013671874999,\n 38.736946065676\n ],\n [\n -123.64013671874999,\n 37.10776507118514\n ]\n ]\n ]\n }\n }\n 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Regulation","active":true,"usgs":false}],"preferred":false,"id":777002,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wang, Dan","contributorId":221097,"corporation":false,"usgs":false,"family":"Wang","given":"Dan","email":"","affiliations":[{"id":40320,"text":"California Department of Pesticide Regulation","active":true,"usgs":false}],"preferred":false,"id":777003,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Fong, Stephanie","contributorId":221098,"corporation":false,"usgs":false,"family":"Fong","given":"Stephanie","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":777004,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Breuer, Richard S","contributorId":221099,"corporation":false,"usgs":false,"family":"Breuer","given":"Richard","email":"","middleInitial":"S","affiliations":[{"id":12702,"text":"California State Water Resources Control Board","active":true,"usgs":false}],"preferred":false,"id":777005,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Hajibabei, Mehrdad","contributorId":221100,"corporation":false,"usgs":false,"family":"Hajibabei","given":"Mehrdad","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":777006,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Brown, James B","contributorId":221101,"corporation":false,"usgs":false,"family":"Brown","given":"James","email":"","middleInitial":"B","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":777007,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Colbourne, John K","contributorId":221102,"corporation":false,"usgs":false,"family":"Colbourne","given":"John","email":"","middleInitial":"K","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":777008,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Young, Thomas M","contributorId":221103,"corporation":false,"usgs":false,"family":"Young","given":"Thomas","email":"","middleInitial":"M","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":777009,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Cherr, Gary","contributorId":221104,"corporation":false,"usgs":false,"family":"Cherr","given":"Gary","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":777010,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Whitehead, Andrew","contributorId":221105,"corporation":false,"usgs":false,"family":"Whitehead","given":"Andrew","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":777011,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Todgham, Anne E.","contributorId":146191,"corporation":false,"usgs":false,"family":"Todgham","given":"Anne","email":"","middleInitial":"E.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":777012,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}} ,{"id":70223760,"text":"70223760 - 2019 - Simultaneous autoregressive (SAR) model","interactions":[],"lastModifiedDate":"2021-09-07T14:36:23.676946","indexId":"70223760","displayToPublicDate":"2019-11-15T09:33:07","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Simultaneous autoregressive (SAR) model","docAbstract":"Simultaneous autoregressive (SAR) models are useful for accommodating various forms of dependence among data that have discrete support in a space of interest. These models are often specified hierarchically as mixed-effects regression models with first-moment structure controlled by a conventional linear regression term and second-moment structure induced by correlated random effects. In their general form, SAR models resemble conditional autoregressive (CAR) models, and can be made equivalent but are often parameterized differently. Importantly, SAR models can be specified by simultaneously regressing a discrete spatial process on itself. Thus, they allow one to construct statistical models for processes with directional graphical properties that pertain to data generating mechanisms. Most commonly SAR models have been used to account for structure among data with areal spatial support in applications involving ecology, epidemiology, sociology, and environmental science.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wiley StatsRef: Statistics reference online","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1002/9781118445112.stat08208","usgsCitation":"Hooten, M., Ver Hoef, J.M., and Hanks, E., 2019, Simultaneous autoregressive (SAR) model, chap. of Wiley StatsRef: Statistics reference online, HTML Document, https://doi.org/10.1002/9781118445112.stat08208.","productDescription":"HTML Document","ipdsId":"IP-105139","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ver Hoef, Jay M.","contributorId":265330,"corporation":false,"usgs":false,"family":"Ver Hoef","given":"Jay","email":"","middleInitial":"M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":822561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Ephraim M.","contributorId":265331,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim M.","affiliations":[{"id":24698,"text":"PSU","active":true,"usgs":false}],"preferred":false,"id":822562,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236884,"text":"70236884 - 2019 - On the utilization of synthetic and measured earthquake ground motions for designing building monitoring systems in the near-field of major faults","interactions":[],"lastModifiedDate":"2022-09-21T13:32:08.495923","indexId":"70236884","displayToPublicDate":"2019-11-15T08:25:34","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"On the utilization of synthetic and measured earthquake ground motions for designing building monitoring systems in the near-field of major faults","docAbstract":"Agencies and research groups engaged in studying measures for enhancing the resiliency of communities have recently placed emphasis on the need for extensive implementation of monitoring systems for rapid post-event assessment of structural integrity. Designing a monitoring system for a building requires a thorough knowledge of its potential nonlinear dynamic behavior with an associated localization of interstory drift. Extending this task across a regional scale becomes even more challenging because of the heterogeneity of the buildings inventory and the limited knowledge of the characteristics of the demand especially for sites located in the near-field of a major fault.\nThe existing observational database of near-field ground motion records is in fact too limited to constitute a comprehensive basis for full understanding of the potential range of structural response variability at different locations near a major fault. In addition, current insight into monitoring system design typically relies on linear structural models and sensors deployed on a limited number of floors.\nIn this context, this paper presents first results of a study that combines synthetic earthquake ground motions generated from a massively parallel regional-scale geophysics wave propagation model at frequencies of engineering interest (0-5 Hz) with nonlinear tall building models. The objective is to gain new insight into the potential impact of localization of nonlinearities in structures subjected to realistic near-field earthquakes and develop a methodology that optimizes the deployment of sensors at the building and site level. In addition to the large database of synthetic motions, available real records are also employed to compare and contrast with the trends observed using synthetic ground motions.\nPreliminary results confirm a tendency of the demand to localize in specific portions of the structure, especially when nonlinearities occur. The building analyses provide guidance for various sensor deployment configurations associated with different probability of error in measuring structural drifts.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structural health monitoring 2019: Enabling intelligent life-cycle health management for industry internet of things (IIOT)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Structural Health Monitoring 2019","conferenceDate":"September 10-12, 2019","language":"English","publisher":"DEStech Publications Inc.","doi":"10.12783/shm2019/32124","usgsCitation":"Petrone, F., McCallen, D., and Celebi, M., 2019, On the utilization of synthetic and measured earthquake ground motions for designing building monitoring systems in the near-field of major faults, in Structural health monitoring 2019: Enabling intelligent life-cycle health management for industry internet of things (IIOT), September 10-12, 2019, https://doi.org/10.12783/shm2019/32124.","ipdsId":"IP-107991","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-11-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Miah, Mamun","contributorId":296778,"corporation":false,"usgs":false,"family":"Miah","given":"Mamun","email":"","affiliations":[{"id":64169,"text":"Lawrance Berkeley Lab","active":true,"usgs":false}],"preferred":false,"id":852463,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Petrone, Floriana","contributorId":296776,"corporation":false,"usgs":false,"family":"Petrone","given":"Floriana","email":"","affiliations":[{"id":64168,"text":"Larance Berkeley Lab","active":true,"usgs":false}],"preferred":false,"id":852460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCallen, David","contributorId":296777,"corporation":false,"usgs":false,"family":"McCallen","given":"David","affiliations":[{"id":64169,"text":"Lawrance Berkeley Lab","active":true,"usgs":false}],"preferred":false,"id":852461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237927,"text":"70237927 - 2019 - Floodplain inundation spectrum across the United States","interactions":[],"lastModifiedDate":"2022-11-01T12:09:34.622679","indexId":"70237927","displayToPublicDate":"2019-11-15T07:07:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain inundation spectrum across the United States","docAbstract":"Floodplain inundation poses both risks and benefits to society. In this study, we characterize floodplain inundation across the United States using 5800 stream gages. We find that between 4% and 12.6% of a river’s annual flow moves through its floodplains. Flood duration and magnitude is greater in large rivers, whereas the frequency of events is greater in small streams. However, the relative exchange of floodwater between the channel and floodplain is similar across small streams and large rivers, with the exception of the water-limited arid river basins. When summed up across the entire river network, 90% of that exchange occurs in small streams on an annual basis. Our detailed characterization of inundation hydrology provides a unique perspective that the regulatory, management, and research communities can use to help balance both the risks and benefits associated with flooding.
Analysis Ready Data (ARD) is a recent concept in Earth observing remote sensing which encompasses many different initiatives by individual imagery providers and collaborative international organizations working towards easing/minimizing data preprocessing required by users. This allows users to spend more time on analysis and less time on downloading, formatting, and ingesting. The U. S. Geological Survey (USGS), the primary provider of Landsat image data, has been making internal strides to provide ARD: moving towards Level-2 surface reflectance and surface temperature as standard products. External cooperation, working toward a common ARD definition, has also been a focus of the USGS by working directly with other governmental or commercial providers, both national and international, or through organizations such as the Committee on Earth Observation Satellites (CEOS) and the Joint Agency Commercial Imagery Evaluation (JACIE) workshop. The USGS is determined to provide users with the most accurate and easy to use data.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"Jul 28-Aug 2, 2019","conferenceLocation":"Yokohama, Japan","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS.2019.8899216","usgsCitation":"Anderson, C., Labahn, S., Helder, D., Stensaas, G.L., Engebretson, C., Crawford, C., Jenkerson, C.B., and Barnes, C., 2019, The U. S. Geological Survey’s approach to analysis ready data, in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, Jul 28-Aug 2, 2019, p. 5541-5544, https://doi.org/10.1109/IGARSS.2019.8899216.","productDescription":"3 p.","startPage":"5541","endPage":"5544","ipdsId":"IP-105685","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":375094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Labahn, Steven 0000-0002-9258-2890","orcid":"https://orcid.org/0000-0002-9258-2890","contributorId":213605,"corporation":false,"usgs":true,"family":"Labahn","given":"Steven","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":758133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":213606,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engebretson, Christopher 0000-0003-1012-8684","orcid":"https://orcid.org/0000-0003-1012-8684","contributorId":224985,"corporation":false,"usgs":true,"family":"Engebretson","given":"Christopher","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":758136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":758138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":758139,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205290,"text":"ofr20191104 - 2019 - Instructions for running the analytical code PAT (Purge Analyzer Tool) for computation of in-well time of travel of groundwater under pumping conditions","interactions":[],"lastModifiedDate":"2019-11-14T10:03:07","indexId":"ofr20191104","displayToPublicDate":"2019-11-14T11:20:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1104","displayTitle":"Instructions for Running the Analytical Code PAT (Purge Analyzer Tool) for Computation of In-Well Time of Travel of Groundwater under Pumping Conditions","title":"Instructions for running the analytical code PAT (Purge Analyzer Tool) for computation of in-well time of travel of groundwater under pumping conditions","docAbstract":"Understanding the optimal time needed to purge a well while pumping to collect a representative groundwater sample requires an understanding of groundwater flow in wells (in-well flow). Parameters that affect in-well flow include the hydraulic properties of the aquifer, well construction, drawdown from pumping, and pump rate. The time of travel relative to in-well flow is affected by the pump’s intake location. The Purge Analyzer Tool (PAT) incorporates hydraulic calculations to help assess the optimal purge times required to vertically transport groundwater in the well to the pump intake (Harte, 2017). Harte (2017) includes a discussion on the rationale for determining in-well groundwater flow and time of travel and also discusses the limitations inherent in the PAT; an understanding of the limitations is important to ensure proper use.
The PAT calculates flow by use of the Dupuit-Theim equation (Lohman, 1979) that assumes steady-state radial flow and a total inflow from the well opening or screen equal to the pumping rate (eq. 1). A bulk average hydraulic conductivity (Kavg) is derived from this relationship. Once Kavg is calculated, the program calculates incremental (layered) horizontal radial inflow into the well over user defined increments (layers). These defined increments represent the screen or well opening as a fraction of the total inflow. The amount of inflow per layer is proportional to the user-defined layered distribution of hydraulic conductivity (Klayer) because drawdown is assumed to be uniformly distributed in the well. The water budget equation that guides the solution of the PAT (eq. 1) is specified as:
Qp = Qv + QH + Qw (1)
where
QP is pumping rate,
Qv is vertical flow entering the boundary of the mixing zone (Mz) from the summation of layered radial flow (∑Qhl-n) where l-n denotes number of layers,
QH is horizontal radial flow into the mixing zone (Mz), and
Qw is flow from wellbore storage effects.
The in-well flow is computed from the convergence of incremental (layered) radial inflows (Qhl-n) summed to the total vertical flow (QV) entering the adjacent zone to the pump intake (called mixing zone [Mz]) as shown in figure 1. The Qv is transported as one-dimensional piston flow. Within the Mz, it's assumed that flow to the pump is dominated by horizontal radial flow (QH) when the pump is in the open interval of the well. Flow from the wellbore storage (Qw) is computed from the volume of water pumped from the well at the time of the drawdown (s) measurement(s). Aquifer storage effects are unaccounted for but are likely to be problematic when (1) dewatering within the well opening occurs or (2) when the water table is close to the top of the well screen or open interval where additional flow into the upper portion of the well opening may occur. For fully saturated wells tens of feet below the water table, storage effects are likely to be more uniformly distributed across the well screen or open interval (regardless of confined or unconfined conditions). Therefore, radial inflow from storage will be less prominent under pump rates commonly used in groundwater sampling either for volumetric sampling (<3 gallons per minute) or low-flow sampling (<0.5 liters per minute).
A major benefit of the use of the PAT is the understanding of time-varying, vertical integration of captured pump water. The analytical model computes aquifer (formation) capture intervals relative to the open interval of the well. This information is displayed graphically (called aquifer fraction graphs) and can be used to assess the likely formation intervals contributing water to the sample at any time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191104","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Harte, P.T., Huffman, B.J., Perina, T., Levine, H., and Rojas-Mickelson, D., 2019, Instructions for running the analytical code PAT (Purge Analyzer Tool) for computation of in-well time of travel of groundwater under pumping conditions: U.S. Geological Survey Open-File Report 2019–1104, 23 p., https://doi.org/10.3133/ofr20191104.","productDescription":"Report: vii, 23 p.; Application Site","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-102617","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":437282,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93EF0GM","text":"USGS data release","linkHelpText":"Purge Analyzer Tool - For computation of in-well time of travel of groundwater under pumping conditions"},{"id":368709,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1104/ofr20191104.pdf","text":"Report","size":"1.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1104"},{"id":368708,"rank":2,"type":{"id":4,"text":"Application Site"},"url":"https://code.usgs.gov/ptharte/pat","text":"USGS Official Source Code Archive","linkFileType":{"id":5,"text":"html"}},{"id":368706,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1104/coverthb_3.jpg"}],"contact":"Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Crane conservation strategy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., 2019, Unintentional and intentional poisoning or harassment of cranes related to agriculture, chap. of Crane conservation strategy, p. 135-141.","productDescription":"7 p.","startPage":"135","endPage":"141","ipdsId":"IP-081937","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":369178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369164,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/wp-content/uploads/2019/10/crane_conservation_strategy_web_2019-2.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775159,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70206608,"text":"70206608 - 2019 - Changes in agricultural land use and practices","interactions":[],"lastModifiedDate":"2019-11-13T16:12:21","indexId":"70206608","displayToPublicDate":"2019-11-13T16:11:38","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Changes in agricultural land use and practices","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Crane conservation strategy","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., 2019, Changes in agricultural land use and practices, chap. of Crane conservation strategy, p. 104-111.","productDescription":"8 p.","startPage":"104","endPage":"111","ipdsId":"IP-081731","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":369177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369165,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/wp-content/uploads/2018/10/cranes_and_agriculture_web_2018.pdf"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":775160,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70206463,"text":"ofr20191125 - 2019 - Using the STARS model to evaluate the effects of the proposed action for the reinitiation of consultation on the coordinated long-term operation of the Central Valley and State Water Project","interactions":[],"lastModifiedDate":"2019-11-14T18:49:55","indexId":"ofr20191125","displayToPublicDate":"2019-11-13T16:03:22","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1125","displayTitle":"Using the STARS Model to Evaluate the Effects of the Proposed Action for the Reinitiation of Consultation on the Coordinated Long-Term Operation of the Central Valley and State Water Project","title":"Using the STARS model to evaluate the effects of the proposed action for the reinitiation of consultation on the coordinated long-term operation of the Central Valley and State Water Project","docAbstract":"In 2016, the U.S. Bureau of Reclamation (USBR) and California Department of Water Resources requested a reinitiation of consultation under Section 7 of the Endangered Species Act on the coordinated long-term operations of the Central Valley and State Water Projects. This resulted in a Biological Assessment released by USBR in 2019. In its analysis of the Biological Assessment for its Biological Opinion on the proposed action, the National Marine Fisheries Service (NMFS) requested assistance from the U.S. Geological Survey to describe the effect of the proposed action on juvenile Chinook salmon (Oncorhynchus tshawytscha) populations migrating through the Sacramento-San Joaquin River Delta (henceforth called “the Delta”). Therefore, in this report we analyzed an 82-year time series of simulated river flows and Delta Cross Channel (DCC) gate operations under two scenarios constructed for the Biological Assessment: the proposed-action (PA) scenario and the continuing-operations scenario (COS).
To evaluate the proposed action, we used the STARS model (Survival, Travel time, And Routing Simulation model), a stochastic, individual-based simulation model designed to predict survival of a cohort of fish that experiences variable daily river flows as the fish migrate through the Delta. The STARS model uses parameter estimates from a Bayesian mark-recapture model that jointly estimates travel time and survival in eight discrete reaches of the Delta and migration routing at two key river junctions.
By applying the STARS model to the two 82-year scenarios, we found that the proposed action had negative effects on survival, travel time, and routing in October–December but positive effects in April–June. In October–December, there was a high probability that survival in the PA scenario was less than that in the COS, and that travel time and routing to the Interior Delta for the PA scenario was greater than that for the COS. The magnitude of the difference in survival between scenarios was larger in some years than in others. For example, we quantified that survival under the PA scenario was 10 percent lower than under the COS in 25 percent of the water years from October through December. During this period, inflow to the Delta tended to be lower under the PA scenario, and the DCC gate was open more frequently under the PA scenario than during the COS. Lower inflow reduces survival, and more frequent operation of the DCC gate 1) increases the proportion of fish entering the Interior Delta, where survival is low, and thus 2) reduces survival in the Sacramento River in reaches downstream of the DCC. In contrast, during the period April–June, survival was higher, travel times were lower, and routing to the Interior Delta was lower under the PA scenario relative to the COS, although the magnitude of the increase in survival was relatively small in most years (less than a 3-percent difference in survival). This difference between scenarios was driven by higher river flows in some years under the PA scenario relative to the COS. Overall, the differences in survival, travel time, and routing distance between the two operational scenarios were primarily driven by the timing and magnitude of the annual high river flows.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191125","collaboration":"Prepared in cooperation with National Oceanic and Atmospheric Administration, National Marine Fisheries Service","usgsCitation":"Perry, R.W., Pope, A.C., and Sridharan, V.K., 2019, Using the STARS model to evaluate the effects of the proposed action for the reinitiation of consultation on the coordinated long-term operation of the Central Valley and State Water Project: U.S. Geological Survey Open-File Report 2019–1125, 31 p. plus appendixes, https://doi.org/10.3133/ofr20191125.","productDescription":"Report: vii, 31 p.; Appendixes 1–4","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-108833","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":369157,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1125/ofr20191125_Appendix3.pdf","text":"Appendix 3","size":"1.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1125 Appendix 3","linkHelpText":"– Simulated Daily Routing by Year, Continuing Operations Compared to Proposed Action Scenarios, 1922–2003"},{"id":369158,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1125/ofr20191125_Appendix4.pdf","text":"Appendix 4","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1125 Appendix 4","linkHelpText":"– Simulated Proportion of Fish Entering the Interior Delta by Year Continuing Operations Compared to Proposed Action Scenarios, 1922–2003"},{"id":369153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1125/coverthb.jpg"},{"id":369154,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1125/ofr20191125.pdf","text":"Report","size":"3.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1125"},{"id":369155,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1125/ofr20191125_Appendix1.pdf","text":"Appendix 1","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1125 Appendix 1","linkHelpText":"– Simulated Daily Survival by Year, Continuing Operations Compared to Proposed Action Scenarios, 1922–2003"},{"id":369156,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1125/ofr20191125_Appendix2.pdf","text":"Appendix 2","size":"1.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1125 Appendix 2","linkHelpText":"– Simulated Daily Travel Time by Year, Continuing Operations Compared to Proposed Action Scenarios, 1922–2003"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.684326171875,\n 37.56199695314352\n ],\n [\n -119.59716796875,\n 37.56199695314352\n ],\n [\n -119.59716796875,\n 39.41922073655956\n ],\n [\n -122.684326171875,\n 39.41922073655956\n ],\n [\n -122.684326171875,\n 37.56199695314352\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
The U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, designed and operates a network of monitoring stations on streams and springs throughout Missouri known as the Ambient Water-Quality Monitoring Network. During water year 2018 (October 1, 2017, through September 30, 2018), water-quality data were collected at 76 stations: 74 Ambient Water-Quality Monitoring Network stations and 2 U.S. Geological Survey National Stream Quality Assessment Network stations. Among the 76 stations in this report, 4 stations have data presented from additional sampling performed in cooperation with the U.S. Army Corps of Engineers. Summaries of the concentrations of dissolved oxygen, specific conductance, water temperature, suspended solids, suspended sediment, Escherichia coli bacteria, fecal coliform bacteria, dissolved nitrate plus nitrite as nitrogen, total phosphorus, dissolved and total recoverable lead and zinc, and selected pesticide compounds are presented. Most of the stations have been classified based on the physiographic province or primary land use in the watershed monitored by the station. Some stations have been classified based on the unique hydrologic characteristics of the waterbodies (springs, large rivers) they monitor. A summary of hydrologic conditions including peak streamflows, monthly mean streamflows, and 7-day low flows also are presented for representative streamflow-gaging stations in the State.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1119","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Kay, R.T., 2019, Quality of surface water in Missouri, water year 2018: U.S. Geological Survey Data Series 1119, 25 p., https://doi.org/10.3133/ds1119.","productDescription":"v, 25 p.","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-107435","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":369064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1119/ds1119.pdf","text":"Report","size":"1.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1119"},{"id":369063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1119/coverthb.jpg"}],"country":"United 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\"}}]}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
405 North Goodwin
Urbana, IL 61801
Marine Isotope Stage 11 from ~424 to 374 ka experienced peak interglacial warmth and highest global sea level ~410–400 ka. MIS 11 has received extensive study on the causes of its long duration and warmer than Holocene climate, which is anomalous in the last half million years. However, a major geographic gap in MIS 11 proxy records exists in the Arctic Ocean where fragmentary evidence exists for a seasonally sea ice-free summers and high sea-surface temperatures (SST; ~8–10 °C near the Mendeleev Ridge). We investigated MIS 11 in the western and central Arctic Ocean using 12 piston cores and several shorter cores using proxies for surface productivity (microfossil density), bottom water temperature (magnesium/calcium ratios), the proportion of Arctic Ocean Deep Water versus Arctic Intermediate Water (key ostracode species), sea ice (epipelagic sea ice dwelling ostracode abundance), and SST (planktic foraminifers). We produced a new benthic foraminiferal δ18O curve, which signifies changes in global ice volume, Arctic Ocean bottom temperature, and perhaps local oceanographic changes. Results indicate that peak warmth occurred in the Amerasian Basin during the middle of MIS 11 roughly from 410 to 400 ka. SST were as high as 8–10 °C for peak interglacial warmth, and sea ice was absent in summers. Evidence also exists for abrupt suborbital events punctuating the MIS 12-MIS 11-MIS 10 interval. These fluctuations in productivity, bottom water temperature, and deep and intermediate water masses (Arctic Ocean Deep Water and Arctic Intermediate Water) may represent Heinrich-like events possibly involving extensive ice shelves extending off Laurentide and Fennoscandian Ice Sheets bordering the Arctic.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019PA003708","usgsCitation":"Cronin, T.M., Keller, K., Farmer, J.R., Schaller, M., O’Regan, M., Poirier, R., Coxall, H., Dwyer, G.S., Bauch, H., Kindstedt, I.G., Jakobsson, M., Marzen, R.E., and Santin, E., 2019, Interglacial paleoclimate in the Arctic: Paleoceanography and Paleoclimatology, v. 34, no. 12, p. 1959-1979, https://doi.org/10.1029/2019PA003708.","productDescription":"21 p.","startPage":"1959","endPage":"1979","ipdsId":"IP-108960","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":459195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019pa003708","text":"Publisher Index Page"},{"id":386888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"12","noUsgsAuthors":false,"publicationDate":"2019-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":818552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":818568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, Jesse R.","contributorId":35564,"corporation":false,"usgs":true,"family":"Farmer","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":818569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaller, Morgan","contributorId":260723,"corporation":false,"usgs":false,"family":"Schaller","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":818570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":818571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poirier, Robert K.","contributorId":198927,"corporation":false,"usgs":false,"family":"Poirier","given":"Robert K.","affiliations":[],"preferred":false,"id":818572,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coxall, Helen","contributorId":166866,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":818573,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dwyer, Gary S.","contributorId":197070,"corporation":false,"usgs":false,"family":"Dwyer","given":"Gary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":818574,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bauch, Henning","contributorId":260724,"corporation":false,"usgs":false,"family":"Bauch","given":"Henning","email":"","affiliations":[],"preferred":false,"id":818575,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kindstedt, Ingalise G.","contributorId":260725,"corporation":false,"usgs":false,"family":"Kindstedt","given":"Ingalise","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":818576,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":818577,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Marzen, R. 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The photographs document some key geologic features, structures, and rock unit relations that were used to compile nine geologic maps of the Grand Canyon region published at 1:100,000 scale, and many more maps published at 1:24,000 scale. Metadata for each photograph include description, date captured, coordinates, and a keyword system that places each photograph in one or more of the following categories: arches and windows, breccia pipes and collapse structures, faults and folds, igneous rocks, landslides and rockfalls, metamorphic rocks, sedimentary rocks, sinkholes, and springs and waterfalls. Original photograph slides are available at the Northern Arizona University Cline Library Special Collections and Archives.
The Geologic Field Photograph Map of the Grand Canyon Region, 1967–2010, is an interactive online map application that shows clusters of photograph thumbnails and popup windows that scale as users pan, zoom, and click around the map. The photographs can be filtered by category, searched based on date range, description, and keywords, and (or) downloaded. All information populated within the map is served from a ScienceBase record of the Grand Canyon field photograph collection that can be accessed at https://doi.org/10.5066/F7WS8SHW.
Director, Geology, Minerals, Energy, and Geophysics (GMEG) Science Center
U.S. Geological Survey
2255 North Gemini Drive
Flagstaff AZ 86001–1637