Publications

Sepulveda, A. J., Gage, J. A., Counihan, T. D., & Prisciandaro, A. F. (2023). ‘Can big data inform invasive dreissenid mussel risk assessments of habitat suitability?’ Hydrobiologia, doi: 10.1007/s10750-023-05156-z.

Lipner, E. M., French, J. P., Mercaldo, R. A., Nelson, S., Zelazny, A. M., Marshall, J. E., Strong, M., Falkinham, J. O., & Prevots, D. R. (2023). ‘The risk of pulmonary NTM infections and water-quality constituents among persons with cystic fibrosis in the United States, 2010-2019,’ Environmental Epidemiology, 7(5). doi: 10.1097/EE90000000000000266.

Sayre, R. R., Setzer, R. W., Serre, M. L., & Wambaugh, J. F. (2023). ‘Characterizing surface water concentrations of hundreds of organic chemicals in United States for environmental risk prioritization,’ Journal of Exposure Science and Environmental Epidemiology, 33(4). doi: 10.1038/s41370-022-00501-1.

Toavs, T. R., Hasler, C. T., Suski, C. D., & Midway, S. R. (2023). ‘A 30-year dataset of CO2 in flowing freshwaters in the United States,’ Scientific Data, 10(1). doi: 10.1038/s41597-022-01915-0.

Zwart, J. A., Diaz, J., Hamshaw, S., Oliver, S., Ross, J. C., Sleckman, M., Appling, A. P., Corson-Dosch, H., Jia, X., Read, J., Sadler, J., Thompson, T., Watkins, D., & White, E. (2023). ‘Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations,’ Frontiers in Water, 5. doi: 10.3389/frwa.2023.1184992.

Stackpoole, S. M., Oelsner, G. P., Stets, E. G., Hecht, J. S., Johnson, Z. C., Tesoriero, A. J., Walvoord, M. A., Chanat, J. G., Dunne, K. A., Goodling, P. J., Lindsey, B. D., Meador, M. R., & Spaulding, S. A. (2023). ‘Integrated water resources trend assessments: State of the science, challenges, and opportunities for advancement,’ Journal of the American Water Resources Association (Vol. 59, Issue 6). doi: 10.1111/1752-1688.13137.

Kang, M., Boutot, J., McVay, R. C., Roberts, K. A., Jasechko, S., Perrone, D., Wen, T., Lackey, G., Raimi, D., Digiulio, D. C., Shonkoff, S. B. C., William Carey, J., Elliott, E. G., Vorhees, D. J., & Peltz, A. S. (2023). ‘Environmental risks and opportunities of orphaned oil and gas wells in the United States,’ Environmental Research Letters, 18(7). doi: 10.1088/1748-9326/acdae7.

Shaughnessy, A. R., Forgeng, M. J., Wen, T., Gu, X., Hemingway, J. D., & Brantley, S. L. (2023). ‘Linking Stream Chemistry to Subsurface Redox Architecture,’ Water Resources Research, 59(5). doi: 10.1029/2022WR033445.

Schaffer-Smith, D., DeMeester, J. E., Tong, D., Myint, S. W., Libera, D. A., & Muenich, R. L. (2023). ‘Landscape Pollution Source Dynamics Highlight Priority Locations for Basin-Scale Interventions to Protect Water Quality Under Hydroclimatic Variability,’ Earth’s Future, 11(9). Doi: 10.1029/2022EF003137.

Harkort, L., & Duan, Z. (2023). ‘Estimation of dissolved organic carbon from inland waters at a large scale using satellite data and machine learning methods,’ Water Research, 229. doi: 10.1016/j.watres.2022.119478.

E, B., Zhang, S., Driscoll, C. T., & Wen, T. (2023). ‘Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach,’ Science of the Total Environment, 889. doi: 10.1016/j.scitotenv.2023.164138.

Saha, G. K., Rahmani, F., Shen, C., Li, L., & Cibin, R. (2023). ‘A deep learning-based novel approach to generate continuous daily stream nitrate concentration for nitrate data-sparse watersheds,’ Science of the Total Environment, 878. doi: 10.1016/j.scitotenv.2023.162930.

Nasir, N., Kansal, A., Alshaltone, O., Barneih, F., Shanableh, A., Al-Shabi, M., & al Shammaa, A. (2023). ‘Deep learning detection of types of water-bodies using optical variables and ensembling,’ Intelligent Systems with Applications, 18. doi: 10.1016/j.iswa.2023.200222.

Millar, E., Melles, S., & Rinner, C. (2023). ‘Screens, streams, and flows: Implications of digital platforms for aquatic citizen science,’ Geoforum, 146. doi: 10.1016/j.geoforum.2023.103864.

Smith, L. M., Reschke, E. M., Bousquin, J. J., Cheskiewicz, L. P., Ilias, N., Kevin Summers, J., & Harvey, J. E. (2023). ‘Methods for a composite ecological suitability measure to inform cumulative restoration assessments in Gulf of Mexico estuaries,’ Ecological Indicators, 154. doi: 10.1016/j.ecolind.2023.110896.

Shaughnessy, A. R., & Brantley, S. L. (2023). ‘How do silicate weathering rates in shales respond to climate and erosion?’ Chemical Geology, 629. Doi: 10.1016/j.chemgeo.2023.121474.

Rose, K. C., Bierwagen, B., Bridgham, S. D., Carlisle, D. M., Hawkins, C. P., Poff, N. L. R., Read, J. S., Rohr, J. R., Saros, J. E., & Williamson, C. E. (2023). ‘Indicators of the effects of climate change on freshwater ecosystems,’ Climatic Change, 176(3). doi: 10.1007/s10584-022-03457-1.

Zwart, J. A., Oliver, S. K., Watkins, W. D., Sadler, J. M., Appling, A. P., Corson-Dosch, H. R., Jia, X., Kumar, V., & Read, J. S. (2023). ‘Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions,’ Journal of the American Water Resources Association, 59(2). doi:10.1111/1752-1688.13093.

Hu, X. C., Dai, M., Sun, J. M., & Sunderland, E. M. (2023). ‘The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities,’ Current Environmental Health Reports (Vol. 10, Issue 1). doi: 10.1007/s40572-022-00389-x.

Dugan, H. A., & Arnott, S. E. (2023). ‘The ecosystem implications of road salt as a pollutant of freshwaters,’ Wiley Interdisciplinary Reviews: Water, 10(2). doi: 10.1002/wat2.1629.

Blaszczak, J. R., Koenig, L. E., Mejia, F. H., Gómez-Gener, L., Dutton, C. L., Carter, A. M., Grimm, N. B., Harvey, J. W., Helton, A. M., & Cohen, M. J. (2023). ‘Extent, patterns, and drivers of hypoxia in the world’s streams and rivers,’ Limnology And Oceanography Letters (Vol. 8, Issue 3). doi: 10.1002/lol2.10297.

Koltun, G. F. (2023). ‘Trends in Environmental, Anthropogenic, and Water-Quality Characteristics in the Upper White River Basin, Indiana,’ USGS Scientific Investigations Report, 2023. doi: 10.3133/sir20235025 .

Yuen, B., Stuart, C. E., Pittman, S. J., Green, S. J., Henderson, L. M., & Wedding, L. M. (2023). ‘Habitat suitability models of elkhorn coral provide ecological insight to support coral reef restoration,’ Restoration Ecology, 31(5). doi: 10.1111/rec.13953.

Appling, A. P., Oliver, S. K., Read, J. S., Sadler, J. M., & Zwart, J. A. (2022). ‘Machine Learning for Understanding Inland Water Quantity, Quality, and Ecology,’ Encyclopedia of Inland Waters, Second Edition (Vol. 4). doi: 10.1016/B978-0-12-819166-8.00121-3 .

Butte, G., Solano-Correa, Y. T., Peppa, M. V., Ruíz-Ordóñez, D. M., Maysels, R., Tuqan, N., Polaine, X., Montoya-Pachongo, C., Walsh, C., & Curtis, T. (2022). ‘A Framework for Water Security Data Gathering Strategies,’ Water (Switzerland), 14(18). Doi: 10.3390/w14182 .

Crystal-Ornelas, R., Varadharajan, C., O’Ryan, D., Beilsmith, K., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., Christianson, D. S., Crow, M., Damerow, J., Ely, K. S., Goldman, A. E., Heinz, S. L., Hendrix, V. C., Kakalia, Z., Mathes, K., O’Brien, F., Pennington, S. C., … Agarwal, D. A. (2022). ‘Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats,’ Scientific Data, 9(1). doi: 10.1038/s41597-022-01606-w.

Epuna, F., Shaheen, S. W., & Wen, T. (2022). ‘Road salting and natural brine migration revealed as major sources of groundwater contamination across regions of northern Appalachia with and without unconventional oil and gas development,’ Water Research, 225. doi: 10.1016/j.watres.2022.119128.

Irwin, N., & Wolf, D. (2022). ‘Time is money: Water quality’s impact on home liquidity and property values,’ Ecological Economics, 199. doi: 10.1016/j.ecolecon.2022.107482.

Krasovich, E., Lau, P., Tseng, J., Longmate, J., Bell, K., & Hsiang, S. (2022). ‘Harmonized nitrogen and phosphorus concentrations in the Mississippi/Atchafalaya River Basin from 1980 to 2018,’ Scientific Data, 9(1). doi: 10.1038/s41597-022-01650-6.

Lipner, E. M., Crooks, J. L., French, J., Strong, M., Nick, J. A., & Prevots, D. R. (2022). ‘Nontuberculous mycobacterial infection and environmental molybdenum in persons with cystic fibrosis: a case–control study in Colorado,’ Journal of Exposure Science and Environmental Epidemiology, 32(2). doi: 10.1038/s41370-021-00360-2.

Lipner, E. M., French, J. P., Nelson, S., Falkinham, J. O., Mercaldo, R. A., Blakney, R. A., Daida, Y. G., Frankland, T. B., Messier, K. P., Honda, J. R., Honda, S., & Prevots, D. R. (2022). ‘Vanadium in groundwater aquifers increases the risk of MAC pulmonary infection in O’ahu, Hawai’I,’ Environmental Epidemiology, 6(5). doi: 10.1097/EE9.0000000000000220.

Neville, J. A., Guz, J., Rosko, H. M., & Owens, M. C. (2022). ‘Water quality inequality: a non-targeted hotspot analysis for ambient water quality injustices,’ Hydrological Sciences Journal, 67(7). doi: 10.1080/02626667.2022.2052073.

Rotteveel, L., Heubach, F., & Sterling, S. M. (2022). ‘The Surface Water Chemistry (SWatCh) database: A standardized global database of water chemistry to facilitate large-sample hydrological research,’ Earth System Science Data, 14(10). doi: 10.5194/essd-14-4667-2022.

Schaeffer, B., Salls, W., Coffer, M., Lebreton, C., Werther, M., Stelzer, K., Urquhart, E., & Gurlin, D. (2022). ‘Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes,’ Environmental Monitoring and Assessment, 194(3). doi: 10.1007/s10661-021-09684-w.

Sharma, N., Westerhoff, P., & Zeng, C. (2022). ‘Lithium occurrence in drinking water sources of the United States,’ Chemosphere, 305. doi: 10.1016/j.chemosphere.2022.135458.

Varadharajan, C., Appling, A. P., Arora, B., Christianson, D. S., Hendrix, V. C., Kumar, V., Lima, A. R., Müller, J., Oliver, S., Ombadi, M., Perciano, T., Sadler, J. M., Weierbach, H., Willard, J. D., Xu, Z., & Zwart, J. (2022). ‘Can machine learning accelerate process understanding and decision-relevant predictions of river water quality?’ Hydrological Processes, 36(4). doi: 10.1002/hyp.14565.

Vengosh, A., Coyte, R. M., Podgorski, J., & Johnson, T. M. (2022). ‘A critical review on the occurrence and distribution of the uranium- and thorium-decay nuclides and their effect on the quality of groundwater.’ Science of the Total Environment, 808. Doi: 10.1016/j.scitotenv.2021.151914.

Willard, J. D., Read, J. S., Topp, S., Hansen, G. J. A., & Kumar, V. (2022). ‘Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020),’ Limnology And Oceanography Letters, 7(4). doi: 10.1002/lol2.10249.

Winckel, A., Ollagnier, S., & Gabillard, S. (2022). ‘Managing groundwater resources using a national reference database: the French ADES concept,’ SN Applied Sciences, 4(8). doi: 10.1007/s42452-022-05082-0.

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.

Dolder, D., Williams, G. P., Miller, A. W., Nelson, E. J., Jones, N. L., & Ames, D. P. (2021). ‘Introducing an open-source regional water quality data viewer tool to support research data access,’ Hydrology, 8(2). doi: 10.3390/hydrology8020091.

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.

Evans, M. J., Kay, K., Proctor, C., Thomas, C. J., & Malcom, J. W. (2021). ‘Linking mountaintop removal mining to water quality for imperiled species using satellite data,’ PLoS ONE, 16(11 November). doi: 10.1371/journal.pone.0239691.

Miller, J. W., Karimi, K., Sankarasubramanian, A., & Obenour, D. R. (2021). ’Assessing interannual variability in nitrogen sourcing and retention through hybrid Bayesian watershed modeling,’ Hydrology and Earth System Sciences, 25(5). doi: 10.5194/hess-25-2789-2021.

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.

Shumway, L., Mullin, C., Rabon, B., & Young, D. (2021). ‘Guest Commentary - South Carolina Water Quality Monitoring Data Elevated for Research, Decision Making, and the Internet of Water,’ Journal of South Carolina Water Resources, 8(2). doi: 10.34068/jscwr/08.02.03.

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

Virro, H., Amatulli, G., Kmoch, A., Shen, L., & Uuemaa, E. (2021). ‘GRQA: Global River Water Quality Archive,’ Earth System Science Data, 13(12). doi: 10.5194/essd-13-5483-2021.

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.

Lipner, E. M., French, J., Bern, C. R., Walton-Day, K., Knox, D., Strong, M., Prevots, D. R., & Crooks, J. L. (2020). ‘Nontuberculous mycobacterial disease and molybdenum in Colorado watersheds,’ International Journal of Environmental Research and Public Health, 17(11). doi: 10.3390/ijerph17113854.

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.

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.

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