Publications

Publications

The following publications have referred to or used the Water Quality Portal as a source of data. Submit additional publications that reference the WQP to gs-w-iow_POs@usgs.gov

2021

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Ahmed, M. H. and Lin, L.-S. (2021) ‘Dissolved oxygen concentration predictions for running waters with different land use land cover using a quantile regression forest machine learning technique’, Journal of Hydrology, 597, p. 126213. doi: 10.1016/j.jhydrol.2021.126213.

Atkinson, J. C. (2021) ‘Baseline evaluation of legacy hydrochemical data for the Republican River watershed, southcentral Nebraska, USA’, Environmental Earth Sciences, 80(3), p. 77. doi: 10.1007/s12665-020-09358-9.

BenDor, T. K. et al. (2021) ‘Predicting the Existence and Prevalence of the US Water Quality Trading Markets’, Water, 13(2), p. 185. doi: 10.3390/w13020185.

Brigham, M. E. et al. (2021) ‘Long-Term Trends in Regional Wet Mercury Deposition and Lacustrine Mercury Concentrations in Four Lakes in Voyageurs National Park’, Applied Sciences, 11(4), p. 1879. doi: 10.3390/app11041879.

Clark, E. V. et al. (2021) ‘Contaminants in Appalachian Water Resources Generated by Non-acid-forming Coal-Mining Materials’, in Zipper, C. E. and Skousen, J. (eds) Appalachia’s Coal-Mined Landscapes: Resources and Communities in a New Energy Era. Cham: Springer International Publishing, pp. 217–243. doi: 10.1007/978-3-030-57780-3_9.

Dreier, D. A. et al. (2021) ‘Integrating Exposure and Effect Distributions with the Ecotoxicity Risk Calculator: Case Studies with Crop Protection Products’, Integrated Environmental Assessment and Management, 17(2), pp. 321–330. doi: https://doi.org/10.1002/ieam.4344.

Rotteveel, L. and Sterling, S. M. (2021) ‘The Surface Water Chemistry (SWatCh) database: A standardized global database of water chemistry to facilitate large-sample hydrological research’, Earth System Science Data Discussions, pp. 1–17. doi: https://doi.org/10.5194/essd-2021-43.

Sanchez Gonzalez, I. et al. (2021) ‘Long-Term Monitoring Reveals Differential Responses of Mussel and Host Fish Communities in a Biodiversity Hotspot’, Diversity, 13(3), p. 122. doi: 10.3390/d13030122.

Scanlon, T. M., Riscassi, A. L. and Galloway, J. N. (2021) ‘Observed changes in chronic and episodic acidification in Virginia mountain streams in response to the Clean Air Act and amendments’, Atmospheric Environment, 252, p. 118279. doi: 10.1016/j.atmosenv.2021.118279.

Topp, S. N. et al. (2021) ‘Multi-decadal improvement in U.S. lake water clarity’, Environmental Research Letters. doi: 10.1088/1748-9326/abf002.

2020

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Agarwal, A. et al. (2020) ‘Assessing Contamination of Stream Networks near Shale Gas Development Using a New Geospatial Tool’, Environmental Science & Technology. doi: 10.1021/acs.est.9b06761.

Brix, K. V. et al. (2020) ‘Development of Empirical Bioavailability Models for Metals’, Environmental Toxicology and Chemistry, 39(1), pp. 85–100. doi: 10.1002/etc.4570.

Coyte, R. M. et al. (2020) ‘Occurrence and distribution of hexavalent chromium in groundwater from North Carolina, USA’, Science of The Total Environment, 711, p. 135135. doi: 10.1016/j.scitotenv.2019.135135.

Dugan, H. et al. (2020) ‘Lakes at risk of chloride contamination’, Environmental Science & Technology. doi: 10.1021/acs.est.9b07718.

Gerson, J. R. et al. (2020) ‘Mercury and selenium loading in mountaintop mining impacted alkaline streams and riparian food webs’, Biogeochemistry. doi: 10.1007/s10533-020-00690-7.

Mahdiyan, O. (2020) ‘Investigating Changes in Chlorophyll a and Other Water Chemistry Variables in Response to Global Environmental Change’. Available at: https://yorkspace.library.yorku.ca/xmlui/handle/10315/37246 (Accessed: 5 May 2020).

Minerovic, A. D. et al. (2020) ‘18S-V9 DNA metabarcoding detects the effect of water-quality impairment on stream biofilm eukaryotic assemblages’, Ecological Indicators, 113, p. 106225. doi: 10.1016/j.ecolind.2020.106225.

Pahlevan, N. et al. (2020) ‘Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach’, Remote Sensing of Environment, p. 111604. doi: 10.1016/j.rse.2019.111604.

Ratliff, K., Mikelonis, A. and Duffy, J. (2020) ‘Characterizing cesium sorption in freshwater settings using fluvial sediments and characteristic water chemistries’, Journal of Environmental Management, 253, p. 109688. doi: 10.1016/j.jenvman.2019.109688.

Shen, L. Q. et al. (2020) ‘Estimating nitrogen and phosphorus concentrations in streams and rivers, within a machine learning framework’, Scientific Data, 7(1), p. 161. doi: 10.1038/s41597-020-0478-7.

Shojaeezadeh, S. A. et al. (2020) ‘Probabilistic hazard assessment of contaminated sediment in rivers’, Science of The Total Environment, 703, p. 134875. doi: 10.1016/j.scitotenv.2019.134875.

Van Gray, J. B., Roberto, A. A. and Leff, L. G. (2020) ‘Acute salt stress promotes altered assembly dynamics of nascent freshwater microbial biofilms’, Hydrobiologia, 847(11), pp. 2465–2484. doi: 10.1007/s10750-020-04266-2.

2019

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Abdul-Aziz Omar I. and Ahmed Shakil (2019) ‘Evaluating the Emergent Controls of Stream Water Quality with Similitude and Dimensionless Numbers’, Journal of Hydrologic Engineering, 24(5), p. 04019010. doi: 10.1061/(ASCE)HE.1943-5584.0001769.

Bub, S. et al. (2019) ‘Graphing Ecotoxicology: The MAGIC Graph for Linking Environmental Data on Chemicals’, Data, 4(1), p. 34. doi: 10.3390/data4010034.

Budnick, W. R. et al. (2019) ‘Local and regional drivers of taxonomic homogenization in stream communities along a land use gradient’, Global Ecology and Biogeography, 0(0). doi: 10.1111/geb.12976.

Bulltail, G. and Walter, M. T. (2019) Impacts of Coal Resource Development on Surface Water Quality in a Multi-jurisdictional Watershed in the Western United States. preprint. EarthArXiv. doi: 10.31223/osf.io/mybs3.

Cadwallader Adam and VanBriesen Jeanne M. (2019) ‘Temporal and Spatial Changes in Bromine Incorporation into Drinking Water–Disinfection By-Products in Pennsylvania’, Journal of Environmental Engineering, 145(3), p. 04018147. doi: 10.1061/(ASCE)EE.1943-7870.0001499.

Dagnew, A. et al. (2019) ‘Modeling Flow, Nutrient, and Sediment Delivery from a Large International Watershed Using a Field-Scale SWAT Model’, JAWRA Journal of the American Water Resources Association, 0(0). doi: 10.1111/1752-1688.12779.

Flanagan, K. et al. (2019) ‘An integrative GIS approach to analyzing the impacts of septic systems on the coast of Florida, USA’, Physical Geography, 0(0), pp. 1–26. doi: 10.1080/02723646.2019.1671297.

Frederick, L. et al. (2019) ‘Source Identification of Particulate Metals/Metalloids Deposited in the San Juan River Delta of Lake Powell, USA’, Water, Air, & Soil Pollution, 230(6), p. 128. doi: 10.1007/s11270-019-4176-z.

H2O Consulting (2019) Task 2: An Annotated Bibliography of Existing Datasets and Recommendations for Phase 2 of the Water-Related Ecosystem Services Assessment. Available at: http://www.cpwac.org/SWBreports/wresa_ph1_task2.pdf (Accessed: 25 July 2019).

Haake, D. M. and Knouft, J. H. (2019) ‘Comparison of Contributions to Chloride in Urban Stormwater from Winter Brine and Rock Salt Application’, Environmental Science & Technology, 53(20), pp. 11888–11895. doi: 10.1021/acs.est.9b02864.

Hansen, G. J. A. et al. (2019) ‘Water clarity and temperature effects on walleye safe harvest: an empirical test of the safe operating space concept’, Ecosphere, 10(5), p. e02737. doi: 10.1002/ecs2.2737.

Jasechko, S. (2019) ‘Global Isotope Hydrogeology―Review’, Reviews of Geophysics, 0(0). doi: 10.1029/2018RG000627.

Kujawa, H. A. (2019) Evaluation of uncertainty in a Maumee River Watershed Soil and Water Assessment Tool under current conditions and future climate projections. The Ohio State University. Available at: https://etd.ohiolink.edu/pg_10?0::NO:10:P10_ACCESSION_NUM:osu1555575109524802 (Accessed: 15 October 2019).

Kung, M., Guignet, D. and Walsh, P. (2019) ‘Comparing Pollution Where You Live and Play: A Hedonic Analysis of Enterococcus in the Long Island Sound’. Available at: http://econ.appstate.edu/RePEc/pdf/wp1902.pdf (Accessed: 30 April 2019).

Measurement of Turbidity, Suspended Sediments and Nutrients in Three Rivers that Drain to the Achang Preserve from the Manell Watershed, Guam (2019). 268. Available at: https://doi.org/10.25923/v587-3f08 (Accessed: 2 January 2020).

Miller, C. (2019) Development Along Rattlesnake Creek: An Assessment of Stream Health, Channel Form, and Land Cover. Master of Science (MS). Univeristy of Montana. Available at: https://scholarworks.umt.edu/etd/11350.

Miller, G. J. (2019) Salt Marsh Health and Biomass Responses to a Changing Environment. Doctoral. University of South Carolina. Available at: https://scholarcommons.sc.edu/etd/5530/?utm_source=scholarcommons.sc.edu%2Fetd%2F5530&utm_medium=PDF&utm_campaign=PDFCoverPages (Accessed: 12 February 2020).

Morgan, David (2019) Multispecies Planning: Locating Nonhuman Entanglements in Oyster Restoration Policy on the Massachusetts Coast - ProQuest. Master of Arts in Urban and Environmental Policy and Planning. Tufts University. Available at: https://search.proquest.com/openview/02c95773c5c3213d911dee8e845c5cf1/1?pq-origsite=gscholar&cbl=18750&diss=y (Accessed: 25 July 2019).

Navas-Acien, A. et al. (2019) ‘Arsenic Exposure and Cardiovascular Disease: Evidence Needed to Inform the Dose-Response at Low Levels’, Current Epidemiology Reports. doi: 10.1007/s40471-019-00186-5.

Potapova, M. G. and Ciugulea, I. (2019) ‘The novel species Navicula eileeniae (Bacillariophyta, Naviculaceae) and its recent expansion in the Central Appalachian region of North America’, Plant Ecology and Evolution, 152(2), pp. 368–377. doi: 10.5091/plecevo.2019.1594.

Raff, Z. and Meyer, A. (2019) CAFOs and Surface Water Quality: Evidence from the Proliferation of Large Farms in Wisconsin. SSRN Scholarly Paper ID 3379678. Rochester, NY: Social Science Research Network. Available at: https://papers.ssrn.com/abstract=3379678 (Accessed: 4 June 2019).

Riscassi, A., Scanlon, T. and Galloway, J. (2019) ‘Stream geochemical response to reductions in acid deposition in headwater streams: Chronic versus episodic acidification recovery’, Hydrological Processes, 33(4), pp. 512–526. doi: 10.1002/hyp.13349.

Ross, M. R. et al. (2019) ‘AquaSat: a dataset to enable remote sensing of water quality for inland waters’, Water Resources Research. doi: 10.1029/2019WR024883.

Russoniello, C. J. and Lautz, L. K. (2019) ‘Pay the PIED Piper: Guidelines to Visualize Large Geochemical Datasets on Piper Diagrams’, Groundwater, n/a(n/a). doi: 10.1111/gwat.12953.

Rust, A. J. et al. (2019) ‘Evaluating the factors responsible for post-fire water quality response in forests of the western USA’, International Journal of Wildland Fire. doi: 10.1071/WF18191.

Ryan, A. C. et al. (2019) ‘Total recoverable aluminum: not totally relevant for water quality standards’, Integrated Environmental Assessment and Management, 0(ja). doi: 10.1002/ieam.4177.

Rumschlag, S. L., Bessler, S. M. and Rohr, J. R. (2019) ‘Evaluating improvements to exposure estimates from fate and transport models by incorporating environmental sampling effort and contaminant use’, Water Research. doi: 10.1016/j.watres.2019.03.038.

Sanders, N. E. (2019) ‘AMEND: Open Source and Data-Driven Oversight of Water Quality in New England’, Media and Communication, 7(3), pp. 91–103. doi: 10.17645/mac.v7i3.2136.

Shaughnessy, A. R. et al. (2019) ‘Sediments in Agricultural Reservoirs Act as Sinks and Sources for Nutrients over Various Timescales’, Water Resources Research, 55(7), pp. 5985–6000. doi: 10.1029/2018WR024004.

Shen, L. et al. (2019) Estimating nitrogen and phosphorus concentrations in streams and rivers across the contiguous United States: a machine learning framework. e27585v1. PeerJ Inc. doi: 10.7287/peerj.preprints.27585v1.

South Carolina Department of Health and Environmental Control, B. of W. and Chestnut, D. (2019) ‘State of South Carolina monitoring strategy for calendar year 2019’. Available at: https://dc.statelibrary.sc.gov/handle/10827/31266 (Accessed: 15 October 2019).

Topp, S. et al. (2019) ‘Research trends in the use of remote sensing for inland water quality science: Moving towards multidisciplinary applications’. doi: 10.31223/osf.io/b9wrq.

Van Gray, J. B. (2019) Disturbance effects on assembly and recovery dynamics of freshwater microbial biofilm communitieis. PHD. Kent State University. Available at: https://etd.ohiolink.edu/pg_10?0::NO:10:P10_ACCESSION_NUM:kent1556556989587688 (Accessed: 25 July 2019).

Wang, R. et al. (2019) ‘Nitrate Runoff Contributing from the Agriculturally Intensive San Joaquin River Watershed to Bay-Delta in California’, Sustainability, 11(10), p. 2845. doi: 10.3390/su11102845.

Wesenbeeck, I. J. van and Knowles, S. (2019) ‘Groundwater monitoring for 1,3-Dichloropropene in high fumigant use areas of North America and Europe’, Pest Management Science, 0(ja). doi: 10.1002/ps.5398.

Wilson, M. J., McTammany, M. E. and Bohr, H. R. (2019) ‘Manganese oxides as localized drivers of benthic invertebrate density and community structure’, Hydrobiologia. doi: 10.1007/s10750-019-03979-3.

Xu, M. et al. (2019) Regional analysis of lake and reservoir water quality with multispectral satellite remote sensing images. Report. Environmental Laboratory (U.S.). doi: http://dx.doi.org/10.21079/11681/34933.

Yao, H. et al. (2019) ‘Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction’, arXiv:1901.08518 [cs, stat]. Available at: http://arxiv.org/abs/1901.08518 (Accessed: 28 January 2019).

Yigzaw, W. et al. (2019) ‘A Multi-layer Reservoir Thermal Stratification Module for Earth System Models’, Journal of Advances in Modeling Earth Systems, 0(ja). doi: 10.1029/2019MS001632.

2018

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Amos, H. M. et al. (2018) ‘What Goes Up Must Come Down: Integrating Air and Water Quality Monitoring for Nutrients’, Environmental Science & Technology, 52(20), pp. 11441–11448. doi: 10.1021/acs.est.8b03504.

Andres, A. S. et al. (2018) ‘Hydrophysical and Hydrochemical Controls of Cyanobacterial Blooms in Coursey Pond, Delaware (USA)’, Journal of Environmental Quality, 0(0). doi: 10.2134/jeq2018.03.0108.

Aplasca, A. C. et al. (2018) ‘Health Assessment of Free-Ranging Chelonians in an Urban Section of the Bronx River, New York’, Journal of Wildlife Diseases. doi: 10.7589/2017-12-304.

Baeumler, N. (2018) River Nitrogen Loads and Landscape Evapotranspiration as Influenced by Climate and Land Cover Changes in the Midwestern United States. Masters. University of Minnesota. Available at: http://hdl.handle.net/11299/200157 (Accessed: 26 October 2018).

Barmentlo, S. H. et al. (2018) ‘Assessing combined impacts of agrochemicals: Aquatic macroinvertebrate population responses in outdoor mesocosms’, Science of The Total Environment, 631–632, pp. 341–347. doi: 10.1016/j.scitotenv.2018.03.021.

Beri, J. et al. (2018) ‘A novel integrated strategy for the detection and quantification of the neurotoxin β-N-methylamino-l-alanine in environmental samples’, Analytical and Bioanalytical Chemistry, 410(10), pp. 2597–2605. doi: 10.1007/s00216-018-0930-0.

Bernier, K. (2018) Land Use Planning, Policy, and Water Quality Nexus for Escherichia coli Mitigation: A Case Study of Greenville, SC. Master of City and Regional Planning (MCRP). Clemson University. Available at: https://tigerprints.clemson.edu/all_theses/2816.

Billmire, M. and Koziol, B. W. (2018) ‘Landscape and flow path-based nutrient loading metrics for evaluation of in-stream water quality in Saginaw Bay, Michigan’, Journal of Great Lakes Research. doi: 10.1016/j.jglr.2018.06.004.

Cadwallader, A. L. (2018) Impacts of Bromide and Nitrogen Wastewater Discharges on Downstream Drinking Water Treatment Plant Disinfection Byproducts. PhD Thesis. Carnegie Mellon University.

Douglas, S. H., Dixon, B. and Griffin, D. (2018) ‘Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: a comparative study’, Physical Geography, 0(0), pp. 1–19. doi: 10.1080/02723646.2017.1406300.

Dunnington, D. W. and Spooner, I. S. (2018) ‘Using a linked table-based structure to encode self-describing multiparameter spatiotemporal data’, FACETS, 3(1), pp. 326–337. doi: 10.1139/facets-2017-0026.

Gibson, K. J. et al. (2018) ‘Acute Toxicity of Chloride, Potassium, Nickel, and Zinc to Federally Threatened and Petitioned Mollusk Species’, Southeastern Naturalist, pp. 239–256. doi: 10.1656/058.017.0206.

Good, K. D. (2018) ‘Contributions of bromide from coal-fired power plants at Pennsylvania drinking water intakes’, p. 13.

Grant, L. and Langpap, C. (2018) ‘Private provision of public goods by environmental groups’, Proceedings of the National Academy of Sciences, p. 201805336. doi: 10.1073/pnas.1805336115.

Greb, S. et al. (2018) Earth Observations in Support of Global Water Quality. Report. International Ocean Colour Coordinating Group (IOCCG). doi: http://dx.doi.org/10.25607/OBP-113.

Hundt, S. A. and Hopkins, C. B. (2018) Compilation and analysis of multiple groundwater-quality datasets for Idaho. USGS Numbered Series 2018–1079. Reston, VA: U.S. Geological Survey. Available at: http://pubs.er.usgs.gov/publication/ofr20181079 (Accessed: 21 May 2018).

Kang, M., Ayars, J. E. and Jackson, R. (2018) ‘Deep groundwater quality in the southwestern United States’, Environmental Research Letters. doi: 10.1088/1748-9326/aae93c.

Keiser, D. and Shapiro, J. (2018) ‘Burning Waters to Crystal Springs? U.S. Water Pollution Regulation Over the Last Half Century’, Economics Working Papers. Available at: https://lib.dr.iastate.edu/econ_workingpapers/62.

Korte, D. M. (2018) Landslide Distribution and Susceptibility, Material Properties, and Soil Loss Estimates for the Drift Creek Watershed (Siletz River), Lincoln County, Oregon. PhD Thesis. Kent State University.

Laureano-Rosario, A. E. et al. (2018) ‘Predicting culturable enterococci exceedances at escambron beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks’, Journal of Water and Health. doi: 10.2166/wh.2018.128.

Leonard, A. (2018) Margaret White Springs Recharge Study, Buffalo National River, North-central Arkansas, USA. Master of Science in Geology (MS). University of Arkansas. Available at: https://scholarworks.uark.edu/etd/3077.

Libera, D. A. (2018) Reducing Uncertainty in Predicting and Forecasting Nutrient Constituents across the Southeastern United States. Doctor of Philosophy, Civil Engineering. North Carolina State. Available at: http://www.lib.ncsu.edu/resolver/1840.20/35511.

Millard, J. D. et al. (2018) ‘Response of mercury in an Adirondack (NY, USA) forest stream to watershed lime application’, Environmental Science: Processes & Impacts. doi: 10.1039/C7EM00520B.

Miralha, L. and Kim, D. (2018) ‘Accounting for and Predicting the Influence of Spatial Autocorrelation in Water Quality Modeling’, ISPRS International Journal of Geo-Information, 7(2), p. 64. doi: 10.3390/ijgi7020064.

Moore, A. P. and Bringolf, R. B. (2018) ‘Effects of nitrate on freshwater mussel glochidia attachment and metamorphosis success to the juvenile stage’, Environmental Pollution, 242, pp. 807–813. doi: 10.1016/j.envpol.2018.07.047.

Miralha, L. (2018) ACCOUNTING FOR SPATIAL AUTOCORRELATION IN MODELING THE DISTRIBUTION OF WATER QUALITY VARIABLES. Available at: https://doi.org/10.13023/ETD.2018.196.

Niu, X., Wendt, A., et al. (2018) ‘Detecting the effects of coal mining, acid rain, and natural gas extraction in Appalachian basin streams in Pennsylvania (USA) through analysis of barium and sulfate concentrations’, Environmental Geochemistry and Health, 40(2), pp. 865–885. doi: 10.1007/s10653-017-0031-6.

Niu, X., Wen, T., et al. (2018) ‘One Step toward Developing Knowledge from Numbers in Regional Analysis of Water Quality’, Environmental Science & Technology. doi: 10.1021/acs.est.8b01035.

Oda, T. et al. (2018) ‘Stream Runoff and Nitrate Recovery Times After Forest Disturbance in the USA and Japan’, Water Resources Research, 54(9), pp. 6042–6054. doi: 10.1029/2017WR021986.

Osborne, M. et al. (2018) Understanding Water Quality in a Large Watershed. doi: info:doi/10.2175/193864718824940042.

Osborne, M., Ackerman, D. and Kimble, G. (2018) Visualizing Big Data to Guide Water Resource Decisions. doi: info:doi/10.2175/193864718825135289.

Paudel, J. and Crago, C. L. (2018) Environmental Externalities from Agriculture: Evidence from Water Quality in the United States. PhD Thesis. University of Massaschusetts.

Rahman, A. et al. (2018) ‘Metal Reactivity in Laboratory Burned Wood from a Watershed Affected by Wildfires’, Environmental science & technology.

Robison, A. L. and Scanlon, T. M. (2018) ‘Climate change to offset improvements in watershed acid-base status provided by Clean Air Act and Amendments: A model application in Shenandoah National Park, Virginia’, Journal of Geophysical Research: Biogeosciences, 0(ja). doi: 10.1029/2018JG004519.

Salerno, J. (2018) Main content The Risk Posed by Pesticides and Contaminant Mixtures to Freshwater Mussels (Unionidae) in Ontario. Master of Science. University of Guelph. Available at: http://hdl.handle.net/10214/14282 (Accessed: 26 October 2018).

Salerno, J. et al. (2018) ‘Sensitivity of multiple life-stages of two freshwater mussel species (Unionidae) to various pesticides detected in Ontario (Canada) surface waters’, Environmental Toxicology and Chemistry, 0(ja). doi: 10.1002/etc.4248.

Santore, R. C. et al. (2018) ‘Development and Application of a Biotic Ligand Model for Predicting the Chronic Toxicity of Dissolved and Precipitated Aluminum to Aquatic Organisms’, Environmental Toxicology and Chemistry, p. n/a-n/a. doi: 10.1002/etc.4020.

Sartori, F. and Vidrio, E. (2018) ‘Environmental fate and ecotoxicology of paraquat: a California perspective’, Toxicological & Environmental Chemistry, 0(0), pp. 1–39. doi: 10.1080/02772248.2018.1460369.

Scavia, D. et al. (2018) ‘St. Clair-Detroit River system: Phosphorus mass balance and implications for Lake Erie load reduction, monitoring, and climate change’, Journal of Great Lakes Research. doi: 10.1016/j.jglr.2018.11.008.

Schaeffer, B. A. et al. (2018) ‘An initial validation of Landsat 5 and 7 derived surface water temperature for U.S. lakes, reservoirs, and estuaries’, International Journal of Remote Sensing, 0(0), pp. 1–17. doi: 10.1080/01431161.2018.1471545.

Sharma, N. et al. (2018) Historical and Future Needs for Geospatial Iodide Occurrence and Sources  in Surface and Ground Waters of the United States of America. Masters Thesis. Arizona State University. Available at: http://hdl.handle.net/2286/R.I.51678 (Accessed: 4 February 2019).

Strickling, H. L. and Obenour, D. R. (2018) ‘Leveraging Spatial and Temporal Variability to Probabilistically Characterize Nutrient Sources and Export Rates in a Developing Watershed’, Water Resources Research, 0(ja). doi: 10.1029/2017WR022220.

SZWILSKI, T. B. et al. (2018) ‘CYBERINFRASTRUCTURE SUPPORTING WATERSHED HEALTH MONITORING AND MANAGEMENT’, Water Pollution XIV, 228, p. 245.

Warrick, J. A. and Milliman, J. D. (2018) ‘Do we know how much fluvial sediment reaches the sea? Decreased river monitoring of U.S. coastal rivers’, Hydrological Processes, 32(23), pp. 3561–3567. doi: 10.1002/hyp.13276.

Weidhaas, J., Anderson, A. and Jamal, R. (2018) ‘Elucidating waterborne pathogen presence and aiding source apportionment in an impaired stream’, Applied and Environmental Microbiology, p. AEM.02510-17. doi: 10.1128/AEM.02510-17.

Winslow, L. A. et al. (2018) ‘Characterizing hydrologic networks: Developing a tool to enable research of macroscale aquatic networks’, Environmental Modelling & Software, 104, pp. 94–101. doi: 10.1016/j.envsoft.2018.03.012.

Wurtsbaugh, W. (2018) ‘Effects of Eutrophication on Birds in Three Bays of Great Salt Lake: A Comparative Analysis with Utah DWR Waterbird Survey Data’, Watershed Sciences Faculty Publications, pp. 1–24. Available at: https://digitalcommons.usu.edu/wats_facpub/1012.

Young, D. (2018) Integrating Data Using Open Standards. doi: info:doi/10.2175/193864718825135522.

2017

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Ascott, M. J. et al. (2017) ‘Global patterns of nitrate storage in the vadose zone’, Nature Communications, 8(1), p. 1416. doi: 10.1038/s41467-017-01321-w.

Atherholt, T. B., Procopio, N. A. and Goodrow, S. M. (2017) ‘Seasonality of Coliform Bacteria Detection Rates in New Jersey Domestic Wells’, Groundwater, 55(3), pp. 346–361. doi: 10.1111/gwat.12482.

Botero-Acosta, A. and Chu, M. L. (2017) ‘Estimation of Watershed Responses to Anthropogenic Stressors Considering Spatial and Temporary Variations’, in. 2017 ASABE Annual International Meeting, ASABE (ASABE Paper No. 1700240), p. 1. doi: 10.13031/aim.201700240.

Buchanan, C., Smith, Z. and Nagel, A. (2017) Long-Term Water Quality Trends in USEPA Region 3 (Mid-Atlantic). Rockville, MD 20850: Interstate Commission on the Potomac River Basin. Available at: https://www.potomacriver.org/wp-content/uploads/2017/09/ICP17-5_Buchanan.pdf (Accessed: 4 December 2017).

Ceccaroni, L. and Piera, J. (2017) Analyzing the role of citizen science in modern research. Available at: http://public.eblib.com/choice/publicfullrecord.aspx?p=4729473 (Accessed: 7 August 2017).

Chen, H. et al. (2017) ‘Modeling pesticide diuron loading from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT’, Water Research, 121, pp. 374–385. doi: 10.1016/j.watres.2017.05.032.

Danhoff, B. M. et al. (2017) ‘Abiotic Habitat Assessment for Arctic Grayling in a Portion of the Big Manistee River, Michigan’, Transactions of the American Fisheries Society, 146(4), pp. 645–662. doi: 10.1080/00028487.2017.1301995.

Doctor, D. H., Paybins, K. S. and Kozar, M. D. (2017) A GIS-Based Compilation of Spring Locations and Geochemical Parameters in the Appalachian Landscape Conservation Cooperative (LCC) Region. USGS Numbered Series 2017–5023. Reston, VA: U.S. Geological Survey, pp. 38–48. Available at: https://doi.org/10.3133/sir20175023 (Accessed: 7 August 2017).

Dugan, H. A. et al. (2017) ‘Long-term chloride concentrations in North American and European freshwater lakes’, Scientific Data, 4. doi: 10.1038/sdata.2017.101.

Garcia, V. et al. (2017) ‘Examining the impacts of increased corn production on groundwater quality using a coupled modeling system’, Science of The Total Environment, 586, pp. 16–24. doi: 10.1016/j.scitotenv.2017.02.009.

Gillingham, M. (2017) ‘Surface Water Information Collection: Volunteers Keep the Great Lakes Great’, Analyzing the Role of Citizen Science in Modern Research, pp. 285–301. doi: 10.4018/978-1-5225-0962-2.ch014.

Good, K. D. and VanBriesen, J. M. (2017) ‘Power Plant Bromide Discharges and Downstream Drinking Water Systems in Pennsylvania’, Environmental Science & Technology, 51(20), pp. 11829–11838. doi: 10.1021/acs.est.7b03003.

Govenor, H., Krometis, L. A. H. and Hession, W. C. (2017) ‘Invertebrate-Based Water Quality Impairments and Associated Stressors Identified through the US Clean Water Act’, Environmental Management, pp. 1–17. doi: 10.1007/s00267-017-0907-3.

Hagemann, M. and Park, M.-H. (2017) ‘Capacity of semi-parametric regression models to predict extreme-event water quality in the Northeastern US’, Journal of Hydrology, 547, pp. 575–584. doi: 10.1016/j.jhydrol.2017.02.017.

Howson, U. A., Buchanan, G. A. and Nickels, J. A. (2017) ‘Zooplankton Community Dynamics in a Western Mid-Atlantic Lagoonal Estuary’, Journal of Coastal Research, pp. 141–168. doi: 10.2112/SI78-012.1.

Isaak, D. J. et al. (2017) ‘The NorWeST Summer Stream Temperature Model and Scenarios for the Western U.S.: A Crowd-Sourced Database and New Geospatial Tools Foster a User Community and Predict Broad Climate Warming of Rivers and Streams’, Water Resources Research, 53(11), pp. 9181–9205. doi: 10.1002/2017WR020969.

Jasechko, S. et al. (2017) ‘Global aquifers dominated by fossil groundwaters but wells vulnerable to modern contamination’, Nature Geoscience, 10, pp. 425–429. doi: 10.1038/ngeo2943.

Jasechko, S., Wassenaar, L. I. and Mayer, B. (2017) ‘Isotopic evidence for widespread cold-season-biased groundwater recharge and young streamflow across central Canada’, Hydrological Processes, 31(12), pp. 2196–2209. doi: 10.1002/hyp.11175.

Karpatne, A. et al. (2017) ‘Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling’, arXiv preprint arXiv:1710.11431.

Keeley, K. et al. (2017) Supporting Conservation and Decision-Making in the Northwoods: Mapping Forest Values, Services, and Threats. Available at: https://deepblue.lib.umich.edu/handle/2027.42/136554 (Accessed: 7 August 2017).

Keiser, D. A. and Shapiro, J. S. (2017) Consequences of the Clean Water Act and the Demand for Water Quality. Working Paper 23070. National Bureau of Economic Research. doi: 10.3386/w23070.

Lehrter, J. C. and Le, C. (2017) ‘Satellite Derived Water Quality Observations Are Related to River Discharge and Nitrogen Loads in Pensacola Bay, Florida’, Frontiers in Marine Science, 4. doi: 10.3389/fmars.2017.00274.

Lottig, N. R. et al. (2017) ‘Macroscale patterns of synchrony identify complex relationships among spatial and temporal ecosystem drivers’, Ecosphere, 8(12), p. e02024. doi: 10.1002/ecs2.2024.

Mordy, C. W. et al. (2017) ‘Nutrient and phytoplankton dynamics on the inner shelf of the eastern Bering Sea’, Journal of Geophysical Research: Oceans, 122(3), pp. 2422–2440. doi: 10.1002/2016JC012071.

Myers, D. N. and Ludtke, A. S. (2017) ‘Chapter Two - Progress and Lessons Learned from Water-Quality Monitoring Networks’, in Ahuja, S. (ed.) Chemistry and Water. Elsevier, pp. 23–120. doi: 10.1016/B978-0-12-809330-6.00002-7.

Oliver, S. K. (2017) Lake Morphology and Nutrient Dynamics at Macroscales. The University of Wisconsin-Madison. Oliver_PhD_2017.pdf | Powered by Box (no date). Available at: https://uwmadison.app.box.com/s/b3a153u0nouvr4v9fxs37xettj6idejo (Accessed: 26 June 2018).

Procopio, N. A. et al. (2017) ‘The Likelihood of Coliform Bacteria in NJ Domestic Wells Based on Precipitation and Other Factors’, Groundwater, p. n/a-n/a. doi: 10.1111/gwat.12518.

Read, E. K. et al. (2017) ‘Water quality data for national-scale aquatic research: The Water Quality Portal’, Water Resources Research, 53(2), pp. 1735–1745. doi: 10.1002/2016WR019993.

Ruiz, L. (2017) Exploring the Harmful Health Effects of Chlorpyrifos on Children:  An Argument for Policy Reform. MS. University of San Francisco. Available at: http://repository.usfca.edu/capstone/529.

Safford, H. and Peters, C. A. (2017) ‘Citizen Science for Dissolved Oxygen Monitoring: Case Studies from Georgia and Rhode Island’, Environmental Engineering Science. doi: 10.1089/ees.2017.0218.

Schierenbeck, T. M. and Smith, M. C. (2017) ‘Path to Impact for Autonomous Field Deployable Chemical Sensors: A Case Study of in Situ Nitrite Sensors’, Environmental Science & Technology, 51(9), pp. 4755–4771. doi: 10.1021/acs.est.6b06171.

Slawecki, T. et al. (2017) ‘Pilot implementation of the US EPA interoperable watershed network’, Open Geospatial Data, Software and Standards, 2, p. 13. doi: 10.1186/s40965-017-0025-4.

Solomon, K. R. and Stephenson, G. L. (2017) ‘Quantitative weight of evidence assessment of higher tier studies on the toxicity and risks of neonicotinoids in honeybees. 3. Clothianidin’, Journal of Toxicology and Environmental Health, Part B, 0(0), pp. 1–19. doi: 10.1080/10937404.2017.1388567.

Sprague, L. A., Oelsner, G. P. and Argue, D. M. (2017) ‘Challenges with secondary use of multi-source water-quality data in the United States’, Water Research, 110, pp. 252–261. doi: 10.1016/j.watres.2016.12.024.

Tango, P. et al. (2017) Integrating and Leveraging Monitoring Networks to Support the Assessment of Outcomes in the Chesapeake Bay Watershed Agreement. STAC Publication 17–003. Edgewater, MD: Scientific and Technical Advisory Committee (STAC). Available at: http://www.chesapeake.org/pubs/371_Tango2017.pdf (Accessed: 7 August 2017).

Vallero, D. (2017) Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources. Academic Press.

Vighi, M., Matthies, M. and Solomon, K. R. (2017) ‘Critical assessment of pendimethalin in terms of persistence, bioaccumulation, toxicity, and potential for long-range transport’, Journal of Toxicology and Environmental Health, Part B, 20(1), pp. 1–21. doi: 10.1080/10937404.2016.1222320.

Vijver, M. G. et al. (2017) ‘Postregistration monitoring of pesticides is urgently required to protect ecosystems’, Environmental Toxicology and Chemistry, 36(4), pp. 860–865. doi: 10.1002/etc.3721.

Walch, M. and McGowan, A. (2017) ENVIRONMENTAL MONITORING PLAN FOR DELAWARE’S INLAND BAYS. Available at: https://www.inlandbays.org/about/committees/stac/inland-bays-environmental-monitoring-plan/ (Accessed: 25 June 2018).

Wallis, J. E. (2017) Selecting filter media for phosphorus removal at the Ennis National Fish Hatchery three-stage subsurface flow treatment wetland. Thesis. Montana State University - Bozeman, College of Engineering. Available at: https://scholarworks.montana.edu/xmlui/handle/1/13519 (Accessed: 26 June 2018).

Wang, D., Singhasemanon, N. and Goh, K. S. (2017) ‘A review of diazinon use, contamination in surface waters, and regulatory actions in California across water years 1992–2014’, Environmental Monitoring and Assessment, 189(7), p. 310. doi: 10.1007/s10661-017-6026-z.

Welch, E. B. et al. (2017) ‘Distribution of aluminum and phosphorus fractions following alum treatments in a large shallow lake’, Lake and Reservoir Management, 33(2), pp. 198–204. doi: 10.1080/10402381.2016.1276653.

Williams, J. and Labou, S. G. (2017) ‘A database of georeferenced nutrient chemistry data for mountain lakes of the Western United States’, Scientific Data, 4. doi: 10.1038/sdata.2017.69.

Winslow, L. A. et al. (2017) ‘Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes’, Scientific Data, 4, p. sdata201753. doi: 10.1038/sdata.2017.53.

Yen, J. D. L. et al. (2017) ‘Balancing generality and specificity in ecological gradient analysis with species abundance distributions and individual size distributions’, Global Ecology and Biogeography, 26(3), pp. 318–332. doi: 10.1111/geb.12537.

2016

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Barkmann, P. E. et al. (2016) ‘South Park, ColoradoThe interplay of tectonics and sedimentation creates one of Colorado’s crown jewels’, in Keller, S. M. and Morgan, M. L. (eds) Unfolding the Geology of the West. Geological Society of America. Available at: http://dx.doi.org/10.1130/2016.0044(07) (Accessed: 7 August 2017).

Blodgett, D. et al. (2016) ‘An Analysis of Water Data Systems to Inform the Open Water Data Initiative’, JAWRA Journal of the American Water Resources Association, 52(4), pp. 845–858. doi: 10.1111/1752-1688.12417.

Blodgett, D., Lucido, J. and Kreft, J. (2016) ‘Progress on water data integration and distribution: a summary of select US Geological Survey data systems’, Journal of Hydroinformatics, 18(2), pp. 226–237. doi: 10.2166/hydro.2015.067.

Brown, L. D., Mukherjee, G. and Weinstein, A. (2016) ‘Empirical Bayes Estimates for a 2-Way Cross-Classified Additive Model’, arXiv:1605.08466 [math, stat]. Available at: http://arxiv.org/abs/1605.08466 (Accessed: 7 August 2017).

Caffrey, J. M. and Murrell, M. C. (2016) ‘A Historical Perspective on Eutrophication in the Pensacola Bay Estuary, FL, USA’, in Aquatic Microbial Ecology and Biogeochemistry: A Dual Perspective. Springer, Cham, pp. 199–213. doi: 10.1007/978-3-319-30259-1_16.

Frederick, L. et al. (2016) ‘Contrasting regional and national mechanisms for predicting elevated arsenic in private wells across the United States using classification and regression trees’, Water Research, 91, pp. 295–304. doi: 10.1016/j.watres.2016.01.023.

Glibert, P. M. and Kana, T. M. (2016) Aquatic Microbial Ecology and Biogeochemistry: A Dual Perspective. Springer.

Good, K. D. et al. (2016) ‘Implications of Engineered Nanomaterials in Drinking Water Sources’, Journal - American Water Works Association, 108, pp. E1–E17. doi: 10.5942/jawwa.2016.108.0013.

Goodsell, T. (2016) Trace Element Inputs from Natural and Anthropogenic Sources in an Agricultural Watershed, Middle Provo River, Utah. MS. Brigham Young University. Available at: http://scholarsarchive.byu.edu/etd/6223.

Jasechko, S. (2016a) ‘Late-Pleistocene precipitation δ18O interpolated across the global landmass’, Geochemistry, Geophysics, Geosystems, 17(8), pp. 3274–3288. doi: 10.1002/2016GC006400.

Jasechko, S. (2016b) ‘Partitioning young and old groundwater with geochemical tracers’, Chemical Geology, 427, pp. 35–42. doi: 10.1016/j.chemgeo.2016.02.012.

Keller, S. M. and Morgan, M. L. (2016) Unfolding the Geology of the West. Geological Society of America.

Kemp, G. P. et al. (2016) ‘Enhancing mud supply from the Lower Missouri River to the Mississippi River Delta USA: Dam bypassing and coastal restoration’, Estuarine, Coastal and Shelf Science, 183, pp. 304–313. doi: 10.1016/j.ecss.2016.07.008.

Lawson, A. B. et al. (2016) Handbook of Spatial Epidemiology. CRC Press.

Maidment, D. R. (2016) ‘Open Water Data in Space and Time’, JAWRA Journal of the American Water Resources Association, 52(4), pp. 816–824. doi: 10.1111/1752-1688.12436.

Medalie, L. (2016) Concentration, flux, and trend estimates with uncertainty for nutrients, chloride, and total suspended solids in tributaries of Lake Champlain, 1990–2014. USGS Numbered Series 2016–1200. Reston, VA: U.S. Geological Survey, p. 26. Available at: http://pubs.er.usgs.gov/publication/ofr20161200 (Accessed: 7 August 2017).

O’Donnell, A. J. et al. (2016) ‘Removal of strontium from drinking water by conventional treatment and lime softening in bench-scale studies’, Water Research, 103, pp. 319–333. doi: 10.1016/j.watres.2016.06.036.

Pellerin, B. A. et al. (2016) ‘Emerging Tools for Continuous Nutrient Monitoring Networks: Sensors Advancing Science and Water Resources Protection’, JAWRA Journal of the American Water Resources Association, 52(4), pp. 993–1008. doi: 10.1111/1752-1688.12386.

Pennino, M. J., McDonald, R. I. and Jaffe, P. R. (2016) ‘Watershed-scale impacts of stormwater green infrastructure on hydrology, nutrient fluxes, and combined sewer overflows in the mid-Atlantic region’, Science of The Total Environment, 565, pp. 1044–1053. doi: 10.1016/j.scitotenv.2016.05.101.

Potapova, M., Desianti, N. and Enache, M. (2016) ‘Potential effects of sediment contaminants on diatom assemblages in coastal lagoons of New Jersey and New York States’, Marine Pollution Bulletin, 107(2), pp. 453–458. doi: 10.1016/j.marpolbul.2016.01.028.

Purvis R. A. et al. (2016) ‘Estimating Streambank Phosphorus Loads at the Watershed Scale with Uncertainty Analysis Approach’, Journal of Hydrologic Engineering, 21(9), p. 04016028. doi: 10.1061/(ASCE)HE.1943-5584.0001402.

Romanok, K. M. et al. (2016) ‘Sediment chemistry and toxicity in Barnegat Bay, New Jersey: Pre- and post-Hurricane Sandy, 2012–13’, Marine Pollution Bulletin, 107(2), pp. 472–488. doi: 10.1016/j.marpolbul.2016.04.018.

Santos, D. (2016) Tableau 10 Business Intelligence Cookbook. Packt Publishing Ltd.

Schreiner, V. C. et al. (2016) ‘Pesticide mixtures in streams of several European countries and the USA’, Science of The Total Environment, 573, pp. 680–689. doi: 10.1016/j.scitotenv.2016.08.163.

Supowit, S. D. et al. (2016) ‘Mass Balance of Fipronil and Total Toxicity of Fipronil-Related Compounds in Process Streams during Conventional Wastewater and Wetland Treatment’, Environmental Science & Technology, 50(3), pp. 1519–1526. doi: 10.1021/acs.est.5b04516.

Turner, N. (2016) Do Limestone Quarries Act as “Engineered Sinkholes”? Analysis of Exfiltration of Groundwater from Limestone Quarries in the Boone Formation, Ozark Physiographic Province, Arkansas, USA. MS. University of Arkansas. Available at: http://scholarworks.uark.edu/etd/1695.

Wang, D., Singhasemanon, N. and Goh, K. S. (2016) ‘A statistical assessment of pesticide pollution in surface waters using environmental monitoring data: Chlorpyrifos in Central Valley, California’, Science of The Total Environment, 571, pp. 332–341. doi: 10.1016/j.scitotenv.2016.07.159.

White, K. et al. (2016) ‘Development of a Conceptual Model to Estimate Pesticide Concentrations for Human Health Drinking Water and Guidance on Conducting Ecological Risk Assessments for the Use of Pesticides on Rice’. Available at: https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/pfam-20-documentations (Accessed: 7 August 2017).

Ziman, M. (2016) Data Intelligence For Improved Water Resource Management. Available at: https://dukespace.lib.duke.edu/dspace/handle/10161/11926.

2015

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Betanzo, E. A. et al. (2015) Water Data to Answer Urgent Water Policy Questions: Monitoring design, available data, and filling data gaps for determining the effectiveness of agricultural management practices for reducing tributary nutrient loads to Lake Erie. Northeast-Midwest Institute Report, p. 169. Available at: http://www.nemw.org/lake-erie-report-2/.

Caffrey, J. M. and Noble, R. T. (2015) ‘Collaboration, Innovation, and Monitoring ASLO and the National Water Quality Monitoring Council’, Limnology and Oceanography Bulletin, 24(3), pp. 83–84. doi: 10.1002/lob.10051.

Carling, G. T. et al. (2015) ‘Evaluating natural and anthropogenic trace element inputs along an alpine to urban gradient in the Provo River, Utah, USA’, Applied Geochemistry, 63, pp. 398–412. doi: 10.1016/j.apgeochem.2015.10.005.

Corsi, S. R. et al. (2015) ‘River chloride trends in snow-affected urban watersheds: increasing concentrations outpace urban growth rate and are common among all seasons’, Science of The Total Environment, 508, pp. 488–497. doi: 10.1016/j.scitotenv.2014.12.012.

Dixon, B. and Uddameri, V. (2015) GIS and Geocomputation for Water Resource Science and Engineering. John Wiley & Sons.

Domisch, S., Amatulli, G. and Jetz, W. (2015) ‘Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution’, Scientific Data, 2, p. sdata201573. doi: 10.1038/sdata.2015.73.

Jackson, S. et al. (2015) Creation of CAPS-IBI Software and Lake Nutrient Modeling : Components of the Massachusetts Comprehensive Wetlands Assessment and Monitoring Program : Final Report. University of Massachusetts Amherst. Available at: http://archives.lib.state.ma.us/handle/2452/684614.

Mayer, A. (2015) ‘Biology in environmental management’, An Integrated Approach to Environmental Management, pp. 47–73. Available at: http://digitalcommons.mtu.edu/forestry-fp/29.

Park, Y. S., Engel, B. A., Kim, J., et al. (2015) ‘A web tool for STORET/WQX water quality data retrieval and Best Management Practice scenario suggestion’, Journal of Environmental Management, 150, pp. 21–27. doi: 10.1016/j.jenvman.2014.11.006.

Park, Y. S., Engel, B. A., Frankenberger, J., et al. (2015) ‘A Web-Based Tool to Estimate Pollutant Loading Using LOADEST’, Water, 7(9), pp. 4858–4868. doi: 10.3390/w7094858.

Sarkar, D. et al. (2015) An Integrated Approach to Environmental Management. John Wiley & Sons.

Slawecki, T. A. D. et al. (2015) ‘A Draft EPA Strategy for Sharing Continuous Monitoring Data’, Proceedings of the Water Environment Federation, 2015(5), pp. 5291–5303. doi: 10.2175/193864715819522919.

Smith1, E. P. and Canale, R. P. (2015) ‘An analysis of sampling programs to evaluate compliance with numerical standards: total phosphorus in Platte Lake, MI’, Lake and Reservoir Management, 31(3), pp. 190–201. doi: 10.1080/10402381.2015.1061073.

Veith, T. L. et al. (2015) ‘Navigating spatial and temporal complexity in developing a long-term land use database for an agricultural watershed’, Journal of Soil and Water Conservation, 70(5), pp. 288–296. doi: 10.2489/jswc.70.5.288.

2014

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Bales, J. D. (2014) ‘Progress in Data Collection and Dissemination in Water Resources - 1974-2014’, Water Resources Impact, May, pp. 18–23. Available at: https://water.usgs.gov/nrp/bales_2014_awra_impact.pdf (Accessed: 7 August 2017).

James, K. A. et al. (2014) ‘Predicting arsenic concentrations in groundwater of San Luis Valley, Colorado: implications for individual-level lifetime exposure assessment’, Environmental Geochemistry and Health, 36(4), pp. 773–782. doi: 10.1007/s10653-014-9595-6.

Jasechko, S. (2014) Continental-scale isotope hydrology. Doctoral. University of New Mexico. Available at: http://digitalrepository.unm.edu/eps_etds/40.

Jasechko, S., Sharp, Z. D., et al. (2014) ‘Jasechko et al. reply’, Nature, 506(7487), pp. E2–E3. doi: 10.1038/nature12926.

Jasechko, S., Birks, S. J., et al. (2014) ‘The pronounced seasonality of global groundwater recharge’, Water Resources Research, 50(11), pp. 8845–8867. doi: 10.1002/2014WR015809.

Laituri, M. and Sternlieb, F. (2014) ‘Water Data Resources’, Journal of Contemporary Water Research & Education, 153(1), pp. 91–92. doi: 10.1111/j.1936-704X.2014.03183.x.

Lamb, G. ‘Rob’ et al. (2014) ‘Science News Infographics’, The Science Teacher, March. Available at: http://www.nsta.org/store/product_detail.aspx?id=10.2505/4/tst14_081_03_25.

Patton, E. W. et al. (2014) ‘SemantEco: A semantically powered modular architecture for integrating distributed environmental and ecological data’, Future Generation Computer Systems, Complete(36), pp. 430–440. doi: 10.1016/j.future.2013.09.017.

2013

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Fisher, J. R. et al. (2013) How Do We Know an Agricultural System is Sustainable? Available at: https://www.researchgate.net/profile/Jonathan_Fisher20/publication/264002578_How_Do_We_Know_an_Agricultural_System_is_Sustainable/links/0deec53c810c7eb81d000000.pdf (Accessed: 7 August 2017).

Lucido, J. M. (2013) ‘Best Practices for Making Scientific Data Discoverable and Accessible through Integrated, Standards-Based Data Portals’, AGU Fall Meeting Abstracts, 33. Available at: http://adsabs.harvard.edu/abs/2013AGUFMIN33B1539L (Accessed: 7 August 2017).

2012

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Daniels, S. (2012) ‘Human Impacts upon Crystal Lake (Benzie Co.): Past, Present, and Future’. 8th MiCorps Volunteer Monitoring Conference, Higgins Lake, MI, 29 October. Available at: http://www.clwa.us/PDF/HumanImpactsCrystalLake.pdf (Accessed: 7 August 2017).

2009

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Nelson, K. T. and Zimmerman, B. (2009) Closing the Data Gap, FedTech. Available at: https://fedtechmagazine.com/article/2010/01/closing-data-gap (Accessed: 7 November 2017).

2008

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Scott, J. et al. (2008) ‘U.S. Federal Water Quality Web Service Collaboration’, Eos, Transactions American Geophysical Union, 89(52), pp. 543–544. doi: 10.1029/2008EO520003.

2006

Expand Publications

Methods and Data Comparability Board of the National Water Quality Monitoring Council (2006) Data Elements for Reporting Water Quality Monitoring Results for Chemical, Biological, Toxicological, and Microbiological Analytes. NWQMC Technical Report 3. Advisory Committee on Water Information. Available at: https://acwi.gov/methods/pubs/wdqe_pubs/wqde_trno3.pdf (Accessed: 25 June 2018).

2004

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Office, U. S. G. A. (2004) ‘Watershed Management: Better Coordination of Data Collection Efforts Needed to Support Key Decisions’, (GAO-04-382). Available at: https://www.gao.gov/products/GAO-04-382 (Accessed: 7 November 2017).

No Date

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An Integrated Assessment Model for Valuing Water Quality Changes in the U.S (no date).

EMAG (no date). Available at: https://ess.emag.vzw.com/emag/login (Accessed: 7 July 2020).

Error 404: Lost Bison (File Not Found) (no date). Available at: https://origin.cloud.usgs.gov/nldi/api (Accessed: 19 August 2019).

Jankowski, K. J. et al. (no date) ‘Aquatic ecosystem metabolism as a tool in environmental management’, WIREs Water, n/a(n/a), p. e1521. doi: https://doi.org/10.1002/wat2.1521.

Maasri, A. et al. (no date) ‘Variation in macroinvertebrate community structure of functional process zones along the river continuum: New elements for the interpretation of the river ecosystem synthesis’, River Research and Applications, n/a(n/a). doi: https://doi.org/10.1002/rra.3784.

The Influence of Jennings Randolph Lake and Dam Operations on River Flow and Water Quality in the North Branch Potomac River (no date). Available at: https://www.potomacriver.org/wp-content/uploads/2019/12/NBPR_TechRpt_FlowWQ_12_18_2019-1.pdf.

‘tmdl-willamette-mercury-technical-support-document.pdf’ (no date). Available at: https://www.epa.gov/sites/production/files/2019-12/documents/tmdl-willamette-mercury-technical-support-document.pdf (Accessed: 13 January 2020).

USGS Current Conditions for USGS 474126096165301 WLN06 149N44W27CDBB 01 G12-R 0000620672 (no date). Available at: https://waterdata.usgs.gov/mn/nwis/uv/?site_no=474126096165301&PARAmeter_cd=72019,62611 (Accessed: 20 May 2019).

Wang, T. et al. (no date) ‘14C-dating Model for Groundwater Affected by CO2 Inputs from Deep Underground Formations’, Water Resources Research, n/a(n/a), p. e2019WR025155. doi: 10.1029/2019WR025155.

‘wp1902.pdf’ (no date). Available at: http://econ.appstate.edu/RePEc/pdf/wp1902.pdf (Accessed: 15 October 2019).

(No date). Available at: https://labs-dev.wma.chs.usgs.gov/api/ogcAPI/collections?f=json (Accessed: 18 February 2020).