Applications

Many other applications make use of data from Water Quality Portal web services. This is a partial list.  If you know of an application that uses Water Quality Portal data or services, please let us know so that we can add it to this list.

  • EPA Data Discovery Tool: EPA's Data Discovery tool was developed to help users find, filter, view, and prepare data for analysis using data from the Water Quality Portal. The tool was built in R Shiny and can run on Windows and Mac.  
  • Delaware Water Quality Portal: The Delaware Water Quality Portal presents water quality data collected by Delaware Department of Natural Resources and Environmental Control (DNREC) Surface Water Quality Monitoring Program.
  • EPA Nitrogen and Phosphorus Pollution Data Access ToolEPA’s “Nitrogen and Phosphorus Pollution Data Access Tool” (NPDAT) helps states, other partners, and stakeholders to:
    • Prioritize watersheds on a statewide basis for nitrogen and phosphorus loading reductions.

    • Set watershed load reduction goals based upon best available information.


Publications

The following publications have referred to or used the Water Quality Portal as a source of data:

2017

Atherholt, T. B., Procopio, N. A., & Goodrow, S. M. (2017). Seasonality of Coliform Bacteria Detection Rates in New Jersey Domestic Wells. Groundwater, 55(3), 346–361. https://doi.org/10.1111/gwat.12482
 
Botero-Acosta, A., & Chu, M. L. (2017). Estimation of Watershed Responses to Anthropogenic Stressors Considering Spatial and Temporary Variations (p. 1). Presented at the 2017 ASABE Annual International Meeting, ASABE. https://doi.org/10.13031/aim.201700240
 
Ceccaroni, L., & Piera, J. (2017). Analyzing the role of citizen science in modern research. Retrieved from http://public.eblib.com/choice/publicfullrecord.aspx?p=4729473
 
Chen, H., Luo, Y., Potter, C., Moran, P. J., Grieneisen, M. L., & Zhang, M. (2017). Modeling pesticide diuron loading from the San Joaquin watershed into the Sacramento-San Joaquin Delta using SWAT. Water Research, 121, 374–385. https://doi.org/10.1016/j.watres.2017.05.032
 
Danhoff, B. M., Huckins, C. J., Auer, N. A., Goble, C. W., Ogren, S. A., & Holtgren, J. M. (2017). Abiotic Habitat Assessment for Arctic Grayling in a Portion of the Big Manistee River, Michigan. Transactions of the American Fisheries Society, 146(4), 645–662. https://doi.org/10.1080/00028487.2017.1301995
 
Doctor, D. H., Paybins, K. S., & 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 No. 2017–5023) (pp. 38–48). Reston, VA: U.S. Geological Survey. Retrieved from https://doi.org/10.3133/sir20175023
 
Garcia, V., Cooter, E., Crooks, J., Hinckley, B., Murphy, M., & Xing, X. (2017). Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. Science of The Total Environment, 586, 16–24. https://doi.org/10.1016/j.scitotenv.2017.02.009
 
Govenor, H., Krometis, L. A. H., & Hession, W. C. (2017). Invertebrate-Based Water Quality Impairments and Associated Stressors Identified through the US Clean Water Act. Environmental Management, 1–17. https://doi.org/10.1007/s00267-017-0907-3
 
Hagemann, M., & Park, M.-H. (2017). Capacity of semi-parametric regression models to predict extreme-event water quality in the Northeastern US. Journal of Hydrology, 547, 575–584. https://doi.org/10.1016/j.jhydrol.2017.02.017
 
Jasechko, S., Perrone, D., Befus, K. M., Bayani Cardenas, M., Ferguson, G., Gleeson, T., … Kirchner, J. W. (2017). Global aquifers dominated by fossil groundwaters but wells vulnerable to modern contamination. Nature Geoscience, 10, 425–429. https://doi.org/10.1038/ngeo2943
 
Jasechko, S., Wassenaar, L. I., & Mayer, B. (2017). Isotopic evidence for widespread cold-season-biased groundwater recharge and young streamflow across central Canada. Hydrological Processes, 31(12), 2196–2209. https://doi.org/10.1002/hyp.11175
 
Keeley, K., Kurtz, E., Li, L., Waisanen, E., Xin, Y., & Zhang, F. (2017). Supporting Conservation and Decision-Making in the Northwoods: Mapping Forest Values, Services, and Threats. Retrieved from https://deepblue.lib.umich.edu/handle/2027.42/136554
 
Keiser, D. A., & Shapiro, J. S. (2017). Consequences of the Clean Water Act and the Demand for Water Quality (Working Paper No. 23070). National Bureau of Economic Research. https://doi.org/10.3386/w23070
 
Mordy, C. W., Devol, A., Eisner, L. B., Kachel, N., Ladd, C., Lomas, M. W., … Wisegarver, E. (2017). Nutrient and phytoplankton dynamics on the inner shelf of the eastern Bering Sea. Journal of Geophysical Research: Oceans, 122(3), 2422–2440. https://doi.org/10.1002/2016JC012071
 
Procopio, N. A., Atherholt, T. B., Goodrow, S. M., & Lester, L. A. (2017). The Likelihood of Coliform Bacteria in NJ Domestic Wells Based on Precipitation and Other Factors. Groundwater, n/a-n/a. https://doi.org/10.1111/gwat.12518
 
Read, E. K., Carr, L., De Cicco, L., Dugan, H. A., Hanson, P. C., Hart, J. A., … Winslow, L. A. (2017). Water quality data for national-scale aquatic research: The Water Quality Portal. Water Resources Research, 53(2), 1735–1745. https://doi.org/10.1002/2016WR019993
 
Ruiz, L. (2017, May 19). Exploring the Harmful Health Effects of Chlorpyrifos on Children:  An Argument for Policy Reform (MS). University of San Francisco. Retrieved from http://repository.usfca.edu/capstone/529
 
Schierenbeck, T. M., & 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), 4755–4771. https://doi.org/10.1021/acs.est.6b06171
 
Slawecki, T., Young, D., Dean, B., Bergenroth, B., & Sparks, K. (2017). Pilot implementation of the US EPA interoperable watershed network. Open Geospatial Data, Software and Standards, 2, 13. https://doi.org/10.1186/s40965-017-0025-4
 
Sprague, L. A., Oelsner, G. P., & Argue, D. M. (2017). Challenges with secondary use of multi-source water-quality data in the United States. Water Research, 110, 252–261. https://doi.org/10.1016/j.watres.2016.12.024
 
Tango, P., Dennison, W., Phillips, S., Ehrich, M. F., Bennett, M., Boomer, K., & Friedrichs, C. (2017). Integrating and Leveraging Monitoring Networks to Support the Assessment of Outcomes in the Chesapeake Bay Watershed Agreement (STAC Publication No. 17-003). Edgewater, MD: Scientific and Technical Advisory Committee (STAC). Retrieved from http://www.chesapeake.org/pubs/371_Tango2017.pdf
 
Vighi, M., Matthies, M., & 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), 1–21. https://doi.org/10.1080/10937404.2016.1222320
 
Vijver, M. G., Hunting, E. R., Nederstigt, T. A. P., Tamis, W. L. M., van den Brink, P. J., & van Bodegom, P. M. (2017). Postregistration monitoring of pesticides is urgently required to protect ecosystems. Environmental Toxicology and Chemistry, 36(4), 860–865. https://doi.org/10.1002/etc.3721
 
Wang, D., Singhasemanon, N., & 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), 310. https://doi.org/10.1007/s10661-017-6026-z
 
Williams, J., & Labou, S. G. (2017). A database of georeferenced nutrient chemistry data for mountain lakes of the Western United States. Scientific Data, 4. https://doi.org/10.1038/sdata.2017.69
 
Winslow, L. A., Hansen, G. J. A., Read, J. S., & Notaro, M. (2017). Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes. Scientific Data, 4, sdata201753. https://doi.org/10.1038/sdata.2017.53
 
Yen, J. D. L., Thomson, J. R., Keith, J. M., Paganin, D. M., Fleishman, E., Dobkin, D. S., … Mac Nally, R. (2017). Balancing generality and specificity in ecological gradient analysis with species abundance distributions and individual size distributions. Global Ecology and Biogeography, 26(3), 318–332. https://doi.org/10.1111/geb.12537

2016

Barkmann, P. E., Sterne, E. J., Dechesne, M., & Houck, K. J. (2016). South Park, ColoradoThe interplay of tectonics and sedimentation creates one of Colorado’s crown jewels. In S. M. Keller & M. L. Morgan (Eds.), Unfolding the Geology of the West (Vols. 1–Book, Section). Geological Society of America. Retrieved from http://dx.doi.org/10.1130/2016.0044(07)
 
Blodgett, D., Lucido, J., & Kreft, J. (2016). Progress on water data integration and distribution: a summary of select US Geological Survey data systems. Journal of Hydroinformatics, 18(2), 226–237. https://doi.org/10.2166/hydro.2015.067
 
Blodgett, D., Read, E., Lucido, J., Slawecki, T., & Young, D. (2016). An Analysis of Water Data Systems to Inform the Open Water Data Initiative. JAWRA Journal of the American Water Resources Association, 52(4), 845–858. https://doi.org/10.1111/1752-1688.12417
 
Brown, L. D., Mukherjee, G., & Weinstein, A. (2016). Empirical Bayes Estimates for a 2-Way Cross-Classified Additive Model. ArXiv:1605.08466 [Math, Stat]. Retrieved from http://arxiv.org/abs/1605.08466
 
Caffrey, J. M., & 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 (pp. 199–213). Springer, Cham. https://doi.org/10.1007/978-3-319-30259-1_16
 
Frederick, L., VanDerslice, J., Taddie, M., Malecki, K., Gregg, J., Faust, N., & Johnson, W. P. (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, 295–304. https://doi.org/10.1016/j.watres.2016.01.023
 
Good, K. D., Bergman, L. E., Klara, S. S., Leitch, M. E., & VanBriesen, J. M. (2016). Implications of Engineered Nanomaterials in Drinking Water Sources. Journal - American Water Works Association, 108, E1–E17. https://doi.org/10.5942/jawwa.2016.108.0013
 
Goodsell, T. (2016, March 1). Trace Element Inputs from Natural and Anthropogenic Sources in an Agricultural Watershed, Middle Provo River, Utah (MS). Brigham Young University. Retrieved from http://scholarsarchive.byu.edu/etd/6223
 
Jasechko, S. (2016a). Late-Pleistocene precipitation δ18O interpolated across the global landmass. Geochemistry, Geophysics, Geosystems, 17(8), 3274–3288. https://doi.org/10.1002/2016GC006400
 
Jasechko, S. (2016b). Partitioning young and old groundwater with geochemical tracers. Chemical Geology, 427, 35–42. https://doi.org/10.1016/j.chemgeo.2016.02.012
 
Kemp, G. P., Day, J. W., Rogers, J. D., Giosan, L., & Peyronnin, N. (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, 304–313. https://doi.org/10.1016/j.ecss.2016.07.008
 
Maidment, D. R. (2016). Open Water Data in Space and Time. JAWRA Journal of the American Water Resources Association, 52(4), 816–824. https://doi.org/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 No. 2016–1200) (p. 26). Reston, VA: U.S. Geological Survey. Retrieved from http://pubs.er.usgs.gov/publication/ofr20161200
 
O’Donnell, A. J., Lytle, D. A., Harmon, S., Vu, K., Chait, H., & Dionysiou, D. D. (2016). Removal of strontium from drinking water by conventional treatment and lime softening in bench-scale studies. Water Research, 103, 319–333. https://doi.org/10.1016/j.watres.2016.06.036
 
Pellerin, B. A., Stauffer, B. A., Young, D. A., Sullivan, D. J., Bricker, S. B., Walbridge, M. R., … Shaw, D. M. (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), 993–1008. https://doi.org/10.1111/1752-1688.12386
 
Pennino, M. J., McDonald, R. I., & 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, 1044–1053. https://doi.org/10.1016/j.scitotenv.2016.05.101
 
Potapova, M., Desianti, N., & 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), 453–458. https://doi.org/10.1016/j.marpolbul.2016.01.028
 
Purvis R. A., Fox G. A., Penn C. J., Storm D. E., & Parnell A. (2016). Estimating Streambank Phosphorus Loads at the Watershed Scale with Uncertainty Analysis Approach. Journal of Hydrologic Engineering, 21(9), 04016028. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001402
 
Romanok, K. M., Szabo, Z., Reilly, T. J., Defne, Z., & Ganju, N. K. (2016). Sediment chemistry and toxicity in Barnegat Bay, New Jersey: Pre- and post-Hurricane Sandy, 2012–13. Marine Pollution Bulletin, 107(2), 472–488. https://doi.org/10.1016/j.marpolbul.2016.04.018
 
Santos, D. (2016). Tableau 10 Business Intelligence Cookbook. Packt Publishing Ltd.
 
Schreiner, V. C., Szöcs, E., Bhowmik, A. K., Vijver, M. G., & Schäfer, R. B. (2016). Pesticide mixtures in streams of several European countries and the USA. Science of The Total Environment, 573, 680–689. https://doi.org/10.1016/j.scitotenv.2016.08.163
 
Supowit, S. D., Sadaria, A. M., Reyes, E. J., & Halden, R. U. (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), 1519–1526. https://doi.org/10.1021/acs.est.5b04516
 
Turner, N. (2016, August 1). 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, Fayetteville, AR. Retrieved from http://scholarworks.uark.edu/etd/1695
 
Wang, D., Singhasemanon, N., & 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, 332–341. https://doi.org/10.1016/j.scitotenv.2016.07.159
 
White, K., Biscoe, M., Fry, M., Hetrick, J., Orrick, G., Peck, C., … others. (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. Retrieved from https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/pfam-20-documentations
 
Ziman, M. (2016, April 29). Data Intelligence For Improved Water Resource Management. Retrieved from https://dukespace.lib.duke.edu/dspace/handle/10161/11926

2015

Betanzo, E. A., Choquette, A. F., Reckhow, K. H., Hayes, L., Hagen, E. R., Argue, D. M., & Cangelosi, A. A. (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). Retrieved from http://www.nemw.org/lake-erie-report-2/
 
Caffrey, J. M., & Noble, R. T. (2015). Collaboration, Innovation, and Monitoring ASLO and the National Water Quality Monitoring Council. Limnology and Oceanography Bulletin, 24(3), 83–84. https://doi.org/10.1002/lob.10051
 
Carling, G. T., Tingey, D. G., Fernandez, D. P., Nelson, S. T., Aanderud, Z. T., Goodsell, T. H., & Chapman, T. R. (2015). Evaluating natural and anthropogenic trace element inputs along an alpine to urban gradient in the Provo River, Utah, USA. Applied Geochemistry, 63, 398–412. https://doi.org/10.1016/j.apgeochem.2015.10.005
 
Corsi, S. R., De Cicco, L. A., Lutz, M. A., & Hirsch, R. M. (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, 488–497. https://doi.org/10.1016/j.scitotenv.2014.12.012
 
Dixon, B., & Uddameri, V. (2015). GIS and Geocomputation for Water Resource Science and Engineering. John Wiley & Sons.
 
Domisch, S., Amatulli, G., & Jetz, W. (2015). Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution. Scientific Data, 2, sdata201573. https://doi.org/10.1038/sdata.2015.73
 
Jackson, S., McGarigal, K., Plunkett, E., Homa, E., Compton, B., English, R. C., & Conservation, U. of M. at A. D. of E. (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. Retrieved from http://archives.lib.state.ma.us/handle/2452/684614
 
Mayer, A. (2015). Biology in environmental management. An Integrated Approach to Environmental Management, 47–73.
 
Park, Y. S., Engel, B. A., Frankenberger, J., & Hwang, H. (2015). A Web-Based Tool to Estimate Pollutant Loading Using LOADEST. Water, 7(9), 4858–4868. https://doi.org/10.3390/w7094858
 
Park, Y. S., Engel, B. A., Kim, J., Theller, L., Chaubey, I., Merwade, V., & Lim, K. J. (2015). A web tool for STORET/WQX water quality data retrieval and Best Management Practice scenario suggestion. Journal of Environmental Management, 150, 21–27. https://doi.org/10.1016/j.jenvman.2014.11.006
 
Slawecki, T. A. ., Young, D., Perez, B., & McClellan, P. (2015). A Draft EPA Strategy for Sharing Continuous Monitoring Data. Proceedings of the Water Environment Federation, 2015(5), 5291–5303. https://doi.org/10.2175/193864715819522919
 
Smith1, E. P., & 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), 190–201. https://doi.org/10.1080/10402381.2015.1061073
 
Veith, T. L., Richards, J. E., Goslee, S. C., Collick, A. S., Bryant, R. B., Miller, D. A., … Kleinman, P. J. A. (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), 288–296. https://doi.org/10.2489/jswc.70.5.288

2014

Bales, J. D. (2014, May). Progress in Data Collection and Dissemination in Water Resources - 1974-2014. Water Resources Impact, 16(3), 18–23.
 
James, K. A., Meliker, J. R., Buttenfield, B. E., Byers, T., Zerbe, G. O., Hokanson, J. E., & Marshall, J. A. (2014). Predicting arsenic concentrations in groundwater of San Luis Valley, Colorado: implications for individual-level lifetime exposure assessment. Environmental Geochemistry and Health, 36(4), 773–782. https://doi.org/10.1007/s10653-014-9595-6
Jasechko, S., Birks, S. J., Gleeson, T., Wada, Y., Fawcett, P. J., Sharp, Z. D., … Welker, J. M. (2014). The pronounced seasonality of global groundwater recharge. Water Resources Research, 50(11), 8845–8867. https://doi.org/10.1002/2014WR015809
 
Jasechko, S. (2014, December 1). Continental-scale isotope hydrology (Doctoral). University of New Mexico. Retrieved from http://digitalrepository.unm.edu/eps_etds/40
 
Jasechko, S., Sharp, Z. D., Gibson, J. J., Birks, S. J., Yi, Y., & Fawcett, P. J. (2014). Jasechko et al. reply. Nature, 506(7487), E2–E3. https://doi.org/10.1038/nature12926
 
Laituri, M., & Sternlieb, F. (2014). Water Data Resources. Journal of Contemporary Water Research & Education, 153(1), 91–92. https://doi.org/10.1111/j.1936-704X.2014.03183.x
 
Lamb, G. “Rob,” Polman, J. L., Newman, A., & Graville Smith, C. (2014, March). Science News Infographics. The Science Teacher. Retrieved from http://www.nsta.org/store/product_detail.aspx?id=10.2505/4/tst14_081_03_25
 
Patton, E. W., Seyed, P., Wang, P., Fu, L., Dein, F. J., Bristol, R. S., & McGuinness, D. L. (2014). SemantEco: A semantically powered modular architecture for integrating distributed environmental and ecological data. Future Generation Computer Systems, Complete(36), 430–440. https://doi.org/10.1016/j.future.2013.09.017

2013

Fisher, J. R., Boucher, T. M., Attwood, S. K., & Kareiva, P. (2013). How Do We Know an Agricultural System is Sustainable? Retrieved from https://www.researchgate.net/profile/Jonathan_Fisher20/publication/264002578_How_Do_We_Know_an_Agricultural_System_is_Sustainable/links/0deec53c810c7eb81d000000.pdf
 
Lucido, J. M. (2013). Best Practices for Making Scientific Data Discoverable and Accessible through Integrated, Standards-Based Data Portals. AGU Fall Meeting Abstracts, 33. Retrieved from http://adsabs.harvard.edu/abs/2013AGUFMIN33B1539L

2012

Daniels, S. (2012, October). Human Impacts upon Crystal Lake (Benzie Co.): Past, Present, and Future. Presented at the 8th MiCorps Volunteer Monitoring Conference, Higgins Lake, MI. Retrieved from http://www.clwa.us/PDF/HumanImpactsCrystalLake.pdf