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Predicted surface water methylmercury concentrations in National Park Service Inventory and Monitoring Program Parks

 

Abstract

Launch mapping application


Model-predicted surface water methylmercury concentrations are displayed together with data for explanatory variables in this web mapping application.  The intent of this application is to assist park managers in determining the relative likelihood of having greater or lesser methylmercury exposure in a given park unit, when compared with other I&M Program park units. Please refer to the text on the current webpage for a more thorough discussion of development and context of this mapping application.

Mapping application user guide


Related links

NPS Inventory and Monitoring Program

NPS Air Resources Division - Air Toxics/Mercury

David Krabbenhoft, Professional Page

USGS Toxic Substances Hydrology Program

 

In the 1970’s and 1980’s, researchers discovered high concentrations of mercury in fish from remote settings around the world lacking any obvious mercury source. It is currently (2015) understood that atmospheric deposition is the dominant mercury source to most areas, and that the production of methylmercury is the key process that translates low mercury loading rates into relatively high bioaccumulation/exposure levels. Literally no aquatic ecosystem is protected from this seemingly ubiquitous problem, yet site-specific information on methylmercury concentrations in environmental media (water, sediment and biota) for most locations is not available. Such is the case for many of the areas under the stewardship of the National Park Service (NPS). To fill this information gap, the U.S. Geological Survey (USGS) and NPS have constructed a model that predicts surface water methylmercury concentrations across many NPS parks using available data on water quality (pH, sulfate, total organic carbon) and land cover characteristics (wetland abundance) known to be related to—or directly involved with—the production of methylmercury. A web mapping application has been developed to display the results of this model, and is intended to assist NPS managers in understanding the relative likelihood of problematic methylmercury levels in their location, compared with other park units in the NPS Inventory and Monitoring (I&M) Program.

Background

Mercury (Hg) is a natural element, however human activity has significantly altered its current (2015) distribution in the environment compared to predevelopment times (Mason and others, 1994; Wentz and others, 2014).  While man has been utilizing mercury’s unique characteristics dating back to at least the Roman era (when it was used to extract gold from ores), its uses were greatly accelerated in manufacturing and mining during industrialization.  Anthropogenic atmospheric mercury emissions have varied substantially in terms of both source and magnitude since the mid-nineteenth century (Streets and others, 2011). Atmospheric deposition serves as the principal mercury source to a large majority of environmental settings, and results in relatively low contamination levels.  In some settings, however, land-based mercury sources, such as mining and industrial effluents, can also be important (Wentz and others, 2014).

Unlike most contaminants that are attenuated and/or mitigated by natural processes (for example, the biodegradation of man-made organic compounds), mercury is one of a very few number of contaminants that undergoes a substantial increase in its expressed toxicity once released to the environment. This phenomenon is the result of the methylation process, which results in the production of methylmercury.  In aquatic food webs, methylmercury constitutes nearly all the mercury found in apical predators, yet it rarely exceeds 10 percent of the total mass of mercury in sediment or water (Wiener and others, 2003). Toxicological concern for methylmercury is due to two factors: (1) it exhibits extremely high bioaccumulation levels in food webs—commonly 105 to 107 (Wiener and others, 2003); and (2) its biochemistry in most fish, wildlife, and humans leads to targeted accumulation in sensitive organs such as the brain (Scheuhammer and others, 2007).

Despite the risks posed by mercury contamination, mercury data in the environment is relatively scarce.  Water samples are highly sensitive to contamination artifacts resulting from improperly prepared sample containers or mishandling by field personnel.  Therefore, the acquisition of high-quality mercury data for environmental waters requires sampling by trained personnel using mercury-clean equipment, as well as analysis in a mercury-clean laboratory setting using the highly sensitive analytical methods.  These logistic and financial requirements result in relatively high cost of conducting mercury and methylmercury monitoring, and, as a result, data availability for reliable environmental mercury data remain generally unavailable in most locations.

Modeling

In an effort to fill this data gap, the USGS and NPS have constructed a model that predicts surface water methylmercury concentrations based on environmental data that are widely available and known to be related to the methylmercury production. This model uses partial least squares regression techniques to relate aqueous methylmercury concentrations to specific water quality and land cover characteristics from a wide range of environmental conditions and locations.  Specifically, the model was calibrated using data from 12 focused studies conducted across the conterminous US, spanning a 13-year period from 1995 through 2008.  All data were collected by trained USGS scientists and analyzed in a mercury-clean setting by the USGS Mercury Research Laboratory located in Middleton, Wisconsin. The relevant water quality characteristics were pH, sulfate, and total organic carbon; wetland abundance was the relevant land cover characteristic.  Wetland land cover was determined for each calibration site watershed by using a Geographic Information System (GIS) to summarize data from the 2006 National Land Cover Database (NLCD) (Fry and others, 2011).  These four characteristics have long been known to be important for determining ecosystem sensitivity to mercury loading and the resulting levels in local food webs (Wiener and others, 2006). It is important to note that the relation between methylmercury in surface water and each of these environmental characteristics is not necessarily positive and linear (Fig. 1).  Thus, use of the partial least squares modeling strategy was important, as it has the ability to account for non-linearity and covariance in the prediction data set. 

 

Figure 1. Relation between methylmercury in surface water and the environmental characteristics used as explanatory variables in this model. (Figure modified from Pritz and others, 2014; Figure 3)

 

Following the development of the model, large datasets of the explanatory variables were assembled from thousands of sites in or near NPS I&M Program park units.  Water quality data for pH, sulfate, and total organic carbon were queried and combined from USGS and NPS agency datasets (NWIS and STORET, respectively), and median values were summarized to a modified 8-digit hydrologic unit (HUC) wherever sufficient data existed (Seaber and others, 1987; Watermolen, 2005; NPS Inventory and Monitoring Program, 2009).  Wetland land cover data for each HUC was summarized in a GIS using NLCD and Coastal Change Analysis Program (C-CAP) land cover datasets (Guam (Department of Commerce and others, 2009c), Saipan (Department of Commerce and others, 2009b), Tutuila (Department of Commerce and others, 2010b), West Manua (Department of Commerce and others, 2010c), East Manua (Department of Commerce and others, 2010a), Hawaii [Molokai] (Department of Commerce and others, 2009g), Hawaii [Maui] (Department of Commerce and others, 2009a), Hawaii [Hawaii] (Department of Commerce and others, 2010d), conterminous US (Fry and others, 2011), Alaska (Homer and others, 2004), US Virgin Islands [St. Thomas] (Department of Commerce and others, 2009f), US Virgin Islands [St. John] (Department of Commerce and others, 2009e), US Virgin Islands [St. Croix] (Department of Commerce and others, 2009d)).  These data summaries were used, together with the model, to generate predicted surface water methylmercury concentrations for each HUC intersecting an I&M Program park unit.

Use of product

This mapping application displays the predicted methylmercury concentrations, as determined by the model, together with the summarized data for the explanatory variables.  This product is not intended to be a substitute for obtaining actual methylmercury data to inform management decisions.  Instead, it should be viewed as a tool that reports predicted methylmercury concentrations in surface water based on current paradigms describing methylmercury production in environmental systems. Locally important factors such as the existence of possible point sources (for example, upstream abandoned mines) and mercury deposition data were not considered in the generation and application of this model.  Proper interpretation of the data results from this model can best be described as the relative potential an area has for methylmercury issues, assuming a consistent source input across the Nation.

Methylmercury in fish

For natural resource management agencies, predicted fish mercury concentrations are more relevant than surface water concentrations, however fish mercury concentrations are notoriously complicated and difficult to predict due to the confounding influence of many biological factors such as species, age, sex and growth rates.  That said, methylmercury concentrations in surface water consistently relate well to fish mercury concentrations, even in the few studies that have analyzed this relation across broad geographic areas (Figs. 2-4) (Brumbaugh and others, 2001; Chasar and others, 2009; Scudder and others, 2009). At this time, current (2015) science does not allow for accurate prediction of fish mercury concentrations.  However, using the developed model for predicted surface water methylmercury concentrations, resource managers can garner a relativized likelihood that their local ecosystem will have greater or lesser fish mercury levels.  

Figure 2.  Length-normalized concentration of mercury in (a) all species of fish (excluding NVBR basin) and (b) largemouth bass as a function of methylmercury concentration in water. (Figure and caption modified from Brumbaugh and others, 2001; Figures 5 and 6)

Figre 2a. Tissue Hg concentrations versus stream water FMeHg and PMeHg for (a) predator fish and (b) forage fish. Hg in biota is plotted against stream water data averaged over 2-3 years (period of study) for predator fish and 1 year for forage fish, based on average age for each category and general estimates of tissue turnover. Colors represent streams in Oregon (white), Wisconsin (gray), and Florida (black). Shapes represent nonurban streams: triangle (Pike River, St Marys River), circle (Lookout Creek, Evergreen Creek, Santa Fe River); and urban streams: square (Beaverton Creek, Oak Creek, Little Wekiva). Figure 2b. Tissue Hg concentrations versus stream water FMeHg and PMeHg for (a) predator fish and (b) forage fish. Hg in biota is plotted against stream water data averaged over 2-3 years (period of study) for predator fish and 1 year for forage fish, based on average age for each category and general estimates of tissue turnover. Colors represent streams in Oregon (white), Wisconsin (gray), and Florida (black). Shapes represent nonurban streams: triangle (Pike River, St Marys River), circle (Lookout Creek, Evergreen Creek, Santa Fe River); and urban streams: square (Beaverton Creek, Oak Creek, Little Wekiva).

Figure 3. Fish tissue total mercury (THg) concentrations versus stream water filtered methylmercury (FMeHg) and particulate methylmercury (PMeHg) for (a) predator fish and (b) forage fish. Hg in biota is plotted against stream water data averaged over 2-3 years (period of study) for predator fish and 1 year for forage fish, based on average age for each category and general estimates of tissue turnover. Colors represent streams in Oregon (white), Wisconsin (gray), and Florida (black). Shapes represent nonurban streams: triangle (Pike River, St Marys River), circle (Lookout Creek, Evergreen Creek, Santa Fe River); and urban streams: square (Beaverton Creek, Oak Creek, Little Wekiva).  (Figure and caption modified from Chasar and others, 2009; Figure S3, A-B)

Figure 1a. Correlations between length-normalized mercury concentrations in fish and selected environmental characteristics, 1998-2005. Figure 1b. Correlations between length-normalized mercury concentrations in fish and selected environmental characteristics, 1998-2005. Figure 1c. Correlations between length-normalized mercury concentrations in fish and selected environmental characteristics, 1998-2005.

Figure 4. Correlations between length-normalized mercury concentrations in fish and selected environmental characteristics, 1998–2005. [Data for all sites shown, unmined and mined; however, Spearman rank correlation coefficients (rs) are for unmined sites only.] (Figure and caption from Scudder and others, 2009; Figure 21, M-O)

Next steps

In addition to providing park managers with an idea of the relative risk of having methylmercury issues, this web mapping application is also intended to assist park managers in identifying data gaps that exist in their parks.  When viewing different layers or when selecting data for a given HUC, data gaps are made apparent either by a lack of color fill or by a lack of returned data value, respectively.

References

Brumbaugh, W.G., Krabbenhoft, D.P., Helsel, D.R., Wiener, J.G., and Echols, K.R., 2001, A National Pilot Study of Mercury Contamination of Aquatic Ecosystems Along Multiple Gradients: Bioaccumulation in Fish: U.S. Fish and Wildlife Service Federal Government Series 2001-0009.

Chasar, L.C., Scudder, B.C., Stewart, A.R., Bell, A.H., and Aiken, G.R., 2009, Mercury Cycling in Stream Ecosystems. 3. Trophic Dynamics and Methylmercury Bioaccumulation: Environmental Science & Technology, v. 43, no. 8, p. 2733–2739.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009a, 2001 Hawaii Land Cover, Maui and Kahoolawe Islands.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2010a, 2003 C-CAP Land Cover, Territory of American Samoa, East Manua.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2010b, 2003 C-CAP Land Cover, Territory of American Samoa, Tutuila.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2010c, 2004 C-CAP Land Cover, Territory of American Samoa, West Manua.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009b, C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Saipan 2005.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009c, C-CAP Land Cover, Territory of Guam 2005.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009d, C-CAP Land Cover, United States Virgin Islands, St Croix, 2002.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009e, C-CAP Land Cover, United States Virgin Islands, St John 2005.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009f, C-CAP Land Cover, United States Virgin Islands, St Thomas, 2003.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2010d, C-CAP US (United States) Pacific Islands Big Island, Hawaii 2001-Era Land Cover Project.

Department of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, and Coastal Services Center, 2009g, Hawaii Land Cover, Molokai Island.

Fry, J., Xian, G., Jin, S., Dewitz, J., Homer, C., Yang, L., Barnes, C., Herold, N., and Wickham, J., 2011, Completion of the 2006 National Land Cover Database for the Conterminous United States: Photogrammetric Engineering & Remote Sensing, v. 77, no. 9, p. 858–864.

Homer, C., Huang, C., Yang, L., Wylie, B., and Coan, M., 2004, Development of a 2001 national landcover database for the United States: Photogrammetric Engineering and Remote Sensing, v. 70, no. 7, p. 829–840.

Mason, R.P., Fitzgerald, W.F., and Morel, F.M., 1994, The biogeochemical cycling of elemental mercury: anthropogenic influences: Geochimica et Cosmochimica Acta, v. 58, no. 15, p. 3191–3198.

NPS Inventory and Monitoring Program, 2009, NPS Vital Signs Monitoring Networks - medium resolution coastline.

Pritz, C.F., Eagles-Smith, C., and Krabbenhoft, D., 2014, Mercury in the national parks: The George Wright Forum, v. 31, no. 2, p. 168–180.

Scheuhammer, A.M., Meyer, M.W., Sandheinrich, M.B., and Murray, M.W., 2007, Effects of Environmental Methylmercury on the Health of Wild Birds, Mammals, and Fish: AMBIO:  A Journal of the Human Environment, v. 36, no. 1, p. 12–19.

Scudder, B.C., Chasar, L.C., Wentz, D.A., Bauch, N.J., Brigham, M.E., Moran, P.W., and Krabbenhoft, D.P., 2009, Mercury in Fish, Bed Sediment, and Water from Streams Across the United States, 1998–2005: U. S. Geological Survey
Scientific Investigations Report 2009-5109, p. 74.

Seaber, P.R., Kapinos, F.P., and Knapp, G.L., 1987, Hydrologic unit maps: United States Geological Survey WSP - 2294.

Streets, D.G., Devane, M.K., Lu, Z., Bond, T.C., Sunderland, E.M., and Jacob, D.J., 2011, All-Time Releases of Mercury to the Atmosphere from Human Activities: Environmental Science & Technology, v. 45, no. 24, p. 10485–10491.

Watermolen, J., 2005, 1:2,000,000-Scale Hydrologic Unit Boundaries.

Wentz, D.A., Brigham, M.E., Chasar, L.C., Lutz, M.A., and Krabbenhoft, D.P., 2014, Mercury in the Nation’s Streams—Levels, Trends, and Implications: U. S. Geological Survey Circular 1395, p. 90.

Wiener, J.G., Knights, B.C., Sandheinrich, M.B., Jeremiason, J.D., Brigham, M.E., Engstrom, D.R., Woodruff, L.G., Cannon, W.F., and Balogh, S.J., 2006, Mercury in Soils, Lakes, and Fish in Voyageurs National Park (Minnesota):  Importance of
Atmospheric Deposition and Ecosystem Factors: Environmental Science & Technology, v. 40, no. 20, p. 6261–6268.

Wiener, J.G., Krabbenhoft, D.P., Heinz, G.H., and Scheuhammer, A.M., 2003, Ecotoxicology of mercury, in Handbook of ecotoxicology, CRC Press, Boca Faton, FL, p. 409–463.

 

 

 

 

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RAPIDS, WI 05394500: Flow=101cfs,Stage=2.19ft,Floodstage=7ft,2024-02-26 17:00,25-75,PRAIRIE RIVER NEAR MERRILL, WI 05389000: Flow=64.8cfs,Stage=5.46ft,2024-02-26 17:45,25-75,Yellow River near Ion, IA 05382000: Flow=782cfs,Stage=3.67ft,Floodstage=12ft,2024-02-26 17:00,25-75,BLACK RIVER NEAR GALESVILLE, WI 05379500: Flow=389cfs,Stage=5.37ft,Floodstage=10.5ft,2024-02-26 16:15,25-75,TREMPEALEAU RIVER AT DODGE, WI 05370000: Flow=18.7cfs,Stage=12.27ft,2024-02-26 17:45,25-75,EAU GALLE RIVER AT SPRING VALLEY, WI 05369500: Flow=4500cfs,Stage=2.93ft,Floodstage=13ft,2024-02-26 17:00,25-75,CHIPPEWA RIVER AT DURAND, WI 05369000: Flow=989cfs,Stage=6.54ft,2024-02-26 17:00,25-75,RED CEDAR RIVER AT MENOMONIE, WI 05368000: Flow=234cfs,Stage=3.69ft,2024-02-26 17:00,25-75,HAY RIVER AT WHEELER, WI 05367500: Flow=656cfs,Stage=2.53ft,2024-02-26 17:00,25-75,RED CEDAR RIVER NEAR COLFAX, WI 05365500: Flow=2280cfs,Stage=3.55ft,2024-02-26 17:05,25-75,CHIPPEWA RIVER AT CHIPPEWA FALLS, WI 05360500: Flow=939cfs,Stage=5.62ft,2024-02-26 17:05,25-75,FLAMBEAU RIVER NEAR BRUCE, WI 05356500: Flow=713cfs,Stage=2.04ft,2024-02-26 17:00,25-75,CHIPPEWA RIVER NEAR BRUCE, WI 05356000: Flow=485cfs,Stage=4.76ft,Floodstage=11ft,2024-02-26 17:00,25-75,CHIPPEWA RIVER AT BISHOPS BRIDGE NEAR WINTER, WI 05333500: Flow=1050cfs,Stage=1.07ft,Floodstage=7ft,2024-02-26 17:00,25-75,ST. CROIX RIVER NEAR DANBURY, WI 04087257: Flow=31.0cfs,Stage=1.57ft,2024-02-26 17:00,25-75,PIKE RIVER NEAR RACINE, WI 04087240: Flow=96.5cfs,Stage=2.88ft,Floodstage=7ft,2024-02-26 17:00,25-75,ROOT RIVER AT RACINE, WI 04087233: Flow=28.0cfs,Stage=2.64ft,Floodstage=9ft,2024-02-26 17:00,25-75,ROOT RIVER CANAL NEAR FRANKLIN, WI 04087220: Flow=21.9cfs,Stage=2.27ft,Floodstage=8ft,2024-02-26 17:00,25-75,ROOT RIVER NEAR FRANKLIN, WI 04087204: Flow=16.8cfs,Stage=2.60ft,Floodstage=8ft,2024-02-26 17:00,25-75,OAK CREEK AT SOUTH MILWAUKEE, WI 04087120: Flow=86.4cfs,Stage=2.14ft,Floodstage=11ft,2024-02-26 16:55,25-75,MENOMONEE RIVER AT WAUWATOSA, WI 04087088: Flow=8.04cfs,Stage=8.34ft,2024-02-26 17:00,25-75,UNDERWOOD CREEK AT WAUWATOSA, WI 04087030: Flow=32.7cfs,Stage=3.52ft,Floodstage=7.5ft,2024-02-26 16:30,25-75,MENOMONEE RIVER AT MENOMONEE FALLS, WI 04087000: Flow=607cfs,Stage=2.54ft,Floodstage=7ft,2024-02-26 16:30,25-75,MILWAUKEE RIVER AT MILWAUKEE, WI 04086600: Flow=569cfs,Stage=6.43ft,Floodstage=11ft,2024-02-26 17:00,25-75,MILWAUKEE RIVER NEAR CEDARBURG, WI 04086500: Flow=102cfs,Stage=5.88ft,Floodstage=10ft,2024-02-26 17:15,25-75,CEDAR CREEK NEAR CEDARBURG, WI 04086000: Flow=295cfs,Stage=2.58ft,Floodstage=8ft,2024-02-26 17:00,25-75,SHEBOYGAN RIVER AT SHEBOYGAN, WI 04084445: Flow=3980cfs,Stage=5.75ft,Floodstage=8.4ft,2024-02-26 17:00,25-75,FOX RIVER AT APPLETON, WI 04078500: Flow=192cfs,Stage=2.92ft,Floodstage=7ft,2024-02-26 17:00,25-75,EMBARRASS RIVER NEAR EMBARRASS, WI 04077630: Flow=113cfs,Stage=5.86ft,Floodstage=11ft,2024-02-26 17:00,25-75,RED RIVER AT MORGAN ROAD NEAR MORGAN, WI 04073500: Flow=840cfs,Stage=8.98ft,Floodstage=13ft,2024-02-26 17:00,25-75,FOX RIVER AT BERLIN, WI 04071000: Flow=403cfs,Stage=1.23ft,Floodstage=7.5ft,2024-02-26 17:00,25-75,OCONTO RIVER NEAR GILLETT, WI 04069500: Flow=528cfs,Stage=1.57ft,Floodstage=10ft,2024-02-26 17:00,25-75,PESHTIGO RIVER AT PESHTIGO, WI 04064500: Flow=211cfs,Stage=1.99ft,Floodstage=7ft,2024-02-26 16:45,25-75,PINE RIVER BELOW PINE R POWERPLANT NR FLORENCE, WI 04063700: Flow=35.5cfs,Stage=1.95ft,Floodstage=6ft,2024-02-26 17:45,25-75,POPPLE RIVER NEAR FENCE, WI 04063000: Flow=1610cfs,Stage=4.28ft,Floodstage=9ft,2024-02-26 17:00,25-75,MENOMINEE RIVER NEAR FLORENCE, WI 04062011: Flow=442cfs,Stage=6.88ft,Floodstage=12ft,2024-02-26 17:30,25-75,BRULE RIVER NEAR COMMONWEALTH, WI 04060500: Flow=60.9cfs,Stage=4.07ft,Floodstage=11ft,2024-02-26 17:30,25-75,IRON RIVER AT CASPIAN, MI 04037500: Flow=41.4cfs,Stage=4.66ft,2024-02-26 17:00,25-75,CISCO BRANCH ONTONAGON R AT CISCO LAKE OUTLET, MI 04025500: Flow=138cfs,Stage=1.61ft,2024-02-26 17:00,25-75,BOIS BRULE RIVER AT BRULE, WI 463741090521301: Stage=601.78ft,2024-02-26 17:00,Not ranked,ASHLAND BREAKWATER LIGHTHOUSE CHEQUAMEGON BAY, WI 445322088281801: Stage=92.62ft,2024-02-26 17:00,Not ranked,BERRY LAKE NEAR SHAWANO, WI 442119088085501: Flow=0.0000cfs,Stage=0.00ft,2024-02-26 17:00,Not ranked,GLRI WATERWAY NUMBER 4 NR WRIGHTSTOWN, WI 442114088085701: Flow=0.0105cfs,Stage=0.04ft,2024-02-26 17:00,Not ranked,GLRI WATERWAY NUMBER 5 NR WRIGHTSTOWN, WI 441520088045001: Flow=0.0000cfs,Stage=-0.01ft,2024-02-26 17:00,Not ranked,GLRI EAST RIVER WATERWAY 3 NEAR GREENLEAF, WI 425715089164700: Stage=2.27ft,2024-02-26 17:00,Not ranked,LAKE KEGONSA AT BARBER DRIVE NEAR STOUGHTON, WI 424848088083100: Stage=7.76ft,2024-02-26 17:15,Not ranked,WIND LAKE AT OUTLET AT WIND LAKE, WI 423525088260400: Stage=2.50ft,2024-02-26 13:00,Not ranked,GENEVA LAKE AT LAKE GENEVA, WI 055451345: Flow=26.6cfs,2024-02-26 16:00,Stage=8.15ft,2024-02-26 16:55:00,Not ranked,WHITE RIVER AT CENTER STREET AT LAKE GENEVA, WI 054279465: Flow=0.04cfs,Stage=2.00ft,2024-02-26 17:00,Not ranked,S FORK PHEASANT BRANCH @ DEMING WAY @ MIDDLETON,WI 054041665: Flow=194cfs,Stage=5.58ft,Floodstage=14ft,2024-02-26 17:00,Not ranked,BARABOO RIVER AT MAIN STREET AT REEDSBURG, WI 053813595: Flow=495cfs,Stage=36.35ft,Floodstage=47ft,2024-02-26 17:00,Not ranked,BLACK RIVER DS ST HWY 54 AT BLACK RIVER FALLS, WI 040871488: Flow=3.73cfs,Stage=11.14ft,2024-02-26 17:25,Not ranked,WILSON PARK CK @ ST. LUKES HOSPITAL @ MILWAUKEE,WI 040871476: Flow=0.00cfs,Stage=0.10ft,2024-02-26 17:00,Not ranked,HOLMES AVE CRK TRIB @ GMIA OUTFALL 1 AT MILWAUKEE 040871475: Flow=1.07cfs,Stage=10.92ft,2024-02-26 17:20,Not ranked,WILSON PARK CREEK @ GMIA OUTFALL 7 @ MILWAUKEE,WI 040871473: Flow=0.21cfs,Stage=10.65ft,2024-02-26 17:10,Not ranked,WILSON PARK CREEK AT GMIA INFALL AT MILWAUKEE, WI 040869416: Flow=4.56cfs,Stage=3.65ft,2024-02-26 17:05,Not ranked,LINCOLN CREEK @ SHERMAN BOULEVARD AT MILWAUKEE, WI 040851385: Flow=-934cfs,Stage=578.85ft,Floodstage=584ft,2024-02-26 17:20,Not ranked,FOX RIVER AT OIL TANK DEPOT AT GREEN BAY, WI 040734605: Flow=-36.8cfs,Stage=6.12ft,2024-02-26 17:00,Not ranked,GREEN LAKE SW INLET @ CT HIGHWY K NR GREEN LAKE,WI 040263205: Flow=19.8cfs,Stage=2.11ft,2024-02-26 17:05,Not ranked,WHITTLESEY CREEK NEAR ASHLAND, WI 05548000: Stage=2.45ft,Floodstage=6ft,2024-02-26 17:00,Not ranked,NIPPERSINK LAKE AT FOX LAKE, IL 05547500: Stage=2.50ft,Floodstage=6ft,2024-02-26 17:30,Not ranked,FOX LAKE NEAR LAKE VILLA, IL 05547000: Stage=2.95ft,Floodstage=6ft,2024-02-26 17:45,Not ranked,CHANNEL LAKE NEAR ANTIOCH, IL 05545750: Flow=566cfs,Stage=6.702ft,Floodstage=11ft,2024-02-26 17:00,Not ranked,FOX RIVER NEAR NEW MUNSTER, WI 05544475: Stage=4.50ft,Floodstage=6ft,2024-02-26 17:45,Not ranked,FOX RIVER AT ROCHESTER, WI 05544385: Stage=11.65ft,2024-02-26 17:45,Not ranked,MUSKEGO (BIG MUSKEGO) LAKE OUTLET NR WIND LAKE, WI 05544348: Stage=1.70ft,2024-02-26 17:45,Not ranked,FOX RIVER AT WATERFORD DAM, AT WATERFORD, WI 05435950: Flow=45.7cfs,Stage=2.98ft,2024-02-26 17:00,Not ranked,SUGAR RIVER NEAR VERONA, WI 05435943: Flow=9.17cfs,Stage=4.23ft,2024-02-26 17:00,Not ranked,BADGER MILL CREEK AT VERONA, WI 05431022: Flow=0.38cfs,Stage=5.17ft,2024-02-26 17:00,Not ranked,DELAVAN LAKE OUTLET AT BORG ROAD NEAR DELAVAN, WI 05431016: Flow=10.9cfs,Stage=8.55ft,2024-02-26 17:00,Not ranked,JACKSON CREEK AT MOUND ROAD NEAR ELKHORN, WI 05429700: Flow=216cfs,Stage=6.68ft,2024-02-26 17:00,Not ranked,YAHARA RIVER @ FORTON STREET BRIDGE @ STOUGHTON,WI 05429485: Stage=3.42ft,2024-02-26 17:10,Not ranked,LAKE WAUBESA AT MC FARLAND, WI 05429000: Stage=3.62ft,2024-02-26 17:00,Not ranked,LAKE MONONA AT MADISON, WI 05428500: Flow=87.8cfs,Stage=3.86ft,2024-02-26 17:00,Not ranked,YAHARA RIVER AT EAST MAIN STREET AT MADISON, WI 05428000: Stage=8.93ft,2024-02-26 17:00,Not ranked,LAKE MENDOTA AT MADISON, WI 05427943: Flow=4.10cfs,Stage=4.13ft,2024-02-26 17:00,Not ranked,PHEASANT BRANCH AT AIRPORT ROAD NEAR MIDDLETON, WI 05427930: Flow=6.08cfs,Stage=9.73ft,2024-02-26 17:00,Not ranked,DORN (SPRING) CREEK AT CT HIGHWAY M NR WAUNAKEE,WI 05427927: Flow=5.54cfs,Stage=0.34ft,2024-02-26 17:00,Not ranked,DORN (SPRING) CREEK @ CT HIGHWAY Q NR WAUNAKEE, WI 05427910: Flow=32.3cfs,Stage=9.12ft,2024-02-26 17:00,Not ranked,SIXMILE CREEK @ COUNTY TRNK HGHWY M NR WAUNAKEE,WI 05427880: Flow=11.4cfs,Stage=2.39ft,2024-02-26 17:00,Not ranked,SIXMILE CREEK AT STATE HIGHWAY 19 NEAR WAUNAKEE,WI 05427850: Flow=-0.30cfs,Stage=9.01ft,2024-02-26 17:00,Not ranked,YAHARA RIVER AT STATE HIGHWAY 113 AT MADISON, WI 05427530: Flow=1100cfs,Stage=2.29ft,Floodstage=6.5ft,2024-02-26 17:00,Not ranked,ROCK RIVER AT NEWVILLE, WI 05427235: Stage=5.93ft,Floodstage=10ft,2024-02-26 17:00,Not ranked,LAKE KOSHKONONG NEAR NEWVILLE, WI 05427085: Flow=1610cfs,Stage=11.13ft,Floodstage=16ft,2024-02-26 17:00,Not ranked,ROCK RIVER AT FORT ATKINSON, WI 05426067: Flow=24.6cfs,Stage=12.56ft,2024-02-26 17:00,Not ranked,BARK RIVER AT NAGAWICKA ROAD AT DELAFIELD, WI 05426031: Stage=4.49ft,Floodstage=10ft,2024-02-26 15:45,Not ranked,ROCK RIVER AT JEFFERSON, WI 05424057: Flow=205cfs,Stage=6.37ft,2024-02-26 17:00,Not ranked,ROCK RIVER AT HORICON, WI 05414820: Stage=4.49ft,2024-02-26 17:15:00,Not ranked,Ice affected,SINSINAWA RIVER NEAR MENOMINEE, IL 05414213: Flow=2120cfs,2023-10-14 05:00,Not ranked,LITTLE PLATTE RIVER NEAR PLATTEVILLE, WI 05411500: Stage=11.69ft,2024-02-26 17:45,Not ranked,Mississippi River at Clayton, IA 05408000: Stage=3.12ft,2024-02-26 17:00:00,Floodstage=12ft,Not ranked,Ice affected,KICKAPOO RIVER AT LA FARGE, WI 05407468: Stage=8.57ft,2024-02-26 17:00:00,Floodstage=16ft,Not ranked,Ice affected,KICKAPOO R @ ST HWY 131 AT ONTARIO, WI 05406479: Flow=19.9cfs,Stage=2.70ft,2024-02-26 17:00,Not ranked,BLACK EARTH CK NR TREATMENT PLNT @ CROSS PLAINS,WI 05406469: Flow=2.27cfs,Stage=2.17ft,2024-02-26 17:00,Not ranked,BREWERY CREEK-UPSTREAM SITE-AT CROSS PLAINS, WI 05406457: Flow=13.6cfs,Stage=2.05ft,2024-02-26 17:00,Not ranked,BLACK EARTH CREEK NR BREWERY RD AT CROSS PLAINS,WI 05405000: Stage=7.81ft,2024-02-26 17:00:00,Floodstage=16ft,Not ranked,Ice affected,BARABOO RIVER NEAR BARABOO, WI 05404500: Stage=6.48ft,2024-02-26 17:00,Not ranked,DEVILS LAKE NEAR BARABOO, WI 05404129: Stage=5.95ft,Floodstage=15ft,2024-02-26 17:00,Not ranked,BARABOO RIVER AT LA VALLE, WI 05403000: Flow=220cfs,Stage=9.91ft,Floodstage=15ft,2024-02-26 17:00,Not ranked,YELLOW RIVER AT NECEDAH, WI 05402000: Stage=2.23ft,2024-02-26 17:00:00,Floodstage=12ft,Not ranked,Ice affected,YELLOW RIVER AT BABCOCK, WI 05401514: Flow=15.5cfs,Stage=4.52ft,2024-02-26 17:00,Not ranked,BIG ROCHE A CRI CREEK AT HWY G NR LEOLA, WI 05401063: Stage=95.36ft,2024-02-26 17:00,Not ranked,LAKE HURON NEAR PLAINFIELD, WI 05401034: Flow=5.53cfs,Stage=3.21ft,2024-02-26 17:00,Not ranked,S.BR.TENMILE CREEK NEAR BANCROFT, WI 05400625: Flow=4.55cfs,Stage=3.13ft,2024-02-26 17:00,Not ranked,LITTLE PLOVER RIVER NEAR PLOVER, WI 05399500: Stage=1.94ft,2024-02-26 17:00:00,Floodstage=15.5ft,Not ranked,Ice affected,BIG EAU PLEINE RIVER AT STRATFORD, WI 05397500: Stage=0.56ft,2024-02-26 17:00:00,Floodstage=9ft,Not ranked,Ice affected,EAU CLAIRE RIVER AT KELLY, WI 05396000: Stage=2.30ft,2024-02-26 17:00:00,Floodstage=10ft,Not ranked,Ice affected,BIG RIB RIVER AT RIB FALLS, WI 05393500: Stage=1.55ft,2024-02-26 17:30:00,Floodstage=8ft,Not ranked,Ice affected,SPIRIT RIVER AT SPIRIT FALLS, WI 05390500: Stage=93.27ft,2024-02-26 17:30,Not ranked,ANVIL LAKE NEAR EAGLE RIVER, WI 05390100: Stage=79.48ft,2024-02-26 16:45,Not ranked,LAC VIEUX DESERT NEAR LAND O\'LAKES, WI 05389500: Stage=7.57ft,Floodstage=16ft,2024-02-26 17:45,Not ranked,Mississippi River at McGregor, IA 05386400: Stage=30.94ft,2024-02-26 17:45,Not ranked,MISSISSIPPI RIVER AT BROWNSVILLE, MN 05383075: Flow=318cfs,Stage=2.50ft,Floodstage=7.5ft,2024-02-26 17:00,Not ranked,LA CROSSE RIVER NEAR LA CROSSE, WI 05382325: Flow=143cfs,Stage=3.57ft,Floodstage=8.5ft,2024-02-26 17:15,Not ranked,LA CROSSE RIVER AT SPARTA, WI 05382284: Stage=5.77ft,2024-02-26 16:45:00,Not ranked,Ice affected,SILVER CREEK AT STATE HIGHWAY 21 NEAR ANGELO, WI 05382267: Stage=5.86ft,2024-02-26 17:00:00,Floodstage=11ft,Not ranked,Ice affected,LA CROSSE RIVER @ CNTY TRUNK HIGHWY BB NR TOMAH,WI 05382257: Flow=0.86cfs,Stage=1.64ft,2024-02-26 17:00,Not ranked,STILLWELL CREEK AT YARD ROAD NEAR TOMAH, WI 05382255: Stage=1.28ft,2024-02-26 17:00:00,Not ranked,Ice affected,STILLWELL CREEK AT SIXTEENTH COURT NEAR TOMAH, WI 05381000: Stage=3.35ft,2024-02-26 17:00:00,Floodstage=18ft,Not ranked,Ice affected,BLACK RIVER AT NEILLSVILLE, WI 05379400: Flow=317cfs,Stage=3.34ft,Floodstage=8ft,2024-02-26 17:00,Not ranked,TREMPEALEAU RIVER AT ARCADIA, WI 05378500: Stage=5.71ft,2024-02-26 17:45:00,Floodstage=13ft,Not ranked,Ice affected,MISSISSIPPI RIVER AT WINONA, MN 05378490: Stage=5.97ft,Floodstage=655ft,2024-02-26 17:15,Not ranked,MISSISSIPPI RIVER AT LOCK AND DAM 5A NR WINONA, MN 05366800: Flow=2780cfs,Stage=4.19ft,Floodstage=773ft,2024-02-26 17:00,Not ranked,CHIPPEWA R AT GRAND AVE AT EAU CLAIRE, WI 05365550: Flow=2450cfs,Stage=4.77ft,2024-02-26 17:00,Not ranked,CHIPPEWA RIVER BELOW DELLS DAM AT EAU CLAIRE, WI 05362000: Stage=3.47ft,2024-02-26 17:00:00,Not ranked,Ice affected,JUMP RIVER AT SHELDON, WI 05359500: Stage=4.98ft,2024-02-26 17:45:00,Not ranked,Ice affected,SOUTH FORK FLAMBEAU RIVER NEAR PHILLIPS, WI 05357335: Flow=24.4cfs,Stage=3.26ft,2024-02-26 17:15,Not ranked,BEAR RIVER NEAR MANITOWISH WATERS, WI 05344490: Flow=3650cfs,Stage=25.36ft,2024-02-26 17:15,Not ranked,ST. CROIX RIVER AT PRESCOTT, WI 05342000: Flow=91.8cfs,Stage=8.18ft,2024-02-26 17:30,Not ranked,KINNICKINNIC RIVER NEAR RIVER FALLS, WI 05331833: Flow=90.0cfs,Stage=1.69ft,2024-02-26 17:00,Not ranked,NAMEKAGON RIVER AT LEONARDS, WI 04087234: Flow=88.3cfs,Stage=4.82ft,2024-02-26 17:00,Not ranked,ROOT RIVER AT 60TH ST NEAR CALEDONIA, WI 04087214: Flow=5.94cfs,Stage=10.72ft,2024-02-26 17:00,Not ranked,ROOT RIVER AT GRANGE AVENUE AT GREENDALE, WI 04087170: Flow=2430cfs,Stage=8.58ft,2024-02-26 17:00,Not ranked,MILWAUKEE RIVER AT MOUTH AT MILWAUKEE, WI 04087142: Flow=-68.6cfs,Stage=12.92ft,2024-02-26 17:00,Not ranked,MENOMONEE RIVER AT 16TH STREET AT MILWAUKEE, WI 04087119: Flow=4.82cfs,Stage=9.94ft,2024-02-26 17:00,Not ranked,HONEY CREEK AT WAUWATOSA, WI 04087070: Flow=14.2cfs,Stage=4.06ft,2024-02-26 17:00,Not ranked,LITTLE MENOMONEE RIVER AT MILWAUKEE, WI 04087050: Flow=6.95cfs,Stage=2.34ft,2024-02-26 17:00,Not ranked,LITTLE MENOMONEE RIVER NEAR FREISTADT, WI 04085427: Stage=4.87ft,2024-02-26 17:00:00,Floodstage=10ft,Not ranked,Ice affected,MANITOWOC RIVER AT MANITOWOC, WI 04085200: Stage=9.08ft,2024-02-26 17:00:00,Floodstage=14ft,Not ranked,Ice affected,KEWAUNEE RIVER NEAR KEWAUNEE, WI 04085108: Stage=4.93ft,2024-02-26 17:05:00,Floodstage=13ft,Not ranked,Ice affected,EAST RIVER @ CNTY TRUNK HIGHWAY ZZ NR GREENLEAF,WI 04085068: Flow=0.29cfs,Stage=3.07ft,2024-02-26 17:00,Not ranked,ASHWAUBENON CREEK NEAR LITTLE RAPIDS, WI 04084911: Stage=2.41ft,2024-02-26 17:00:00,Not ranked,Ice affected,PLUM CREEK NEAR WRIGHTSTOWN, WI 04084255: Stage=1.35ft,Floodstage=6ft,2024-02-26 17:00,Not ranked,LAKE WINNEBAGO NEAR STOCKBRIDGE, WI 04083545: Flow=70.6cfs,Stage=1.62ft,2024-02-26 17:00,Not ranked,FOND DU LAC RIVER @ W. ARNDT ST. AT FOND DU LAC,WI 04082500: Stage=1.45ft,Floodstage=3.7ft,2024-02-26 17:00,Not ranked,LAKE WINNEBAGO AT OSHKOSH, WI 04080798: Flow=24.7cfs,Stage=8.52ft,2024-02-26 17:00,Not ranked,TOMORROW RIVER NEAR NELSONVILLE, WI 04079000: Stage=2.07ft,2024-02-26 17:00:00,Floodstage=9ft,Not ranked,Ice affected,WOLF RIVER AT NEW LONDON, WI 04074950: Stage=7.79ft,2024-02-26 17:00:00,Floodstage=11.5ft,Not ranked,Ice affected,WOLF RIVER AT LANGLADE, WI 04073466: Flow=20.9cfs,2024-02-26 16:55,Stage=6.37ft,2024-02-26 17:00:00,Not ranked,SILVER CREEK AT SPAULDING ROAD NEAR GREEN LAKE, WI 04073462: Not ranked,Ice affected,WHITE CREEK AT SPRING GROVE ROAD NR GREEN LAKE, WI 04073458: Flow=0.00cfs,Stage=3.79ft,2024-02-26 17:04,Not ranked,ROY CREEK AT ROY CREEK ROAD NEAR GREEN LAKE, WI 04073365: Flow=695cfs,Stage=4.63ft,Floodstage=9.5ft,2024-02-26 17:00,Not ranked,FOX RIVER AT PRINCETON, WI 04073240: Flow=10.2cfs,Stage=3.58ft,2024-02-26 17:00,Not ranked,CHAFFEE CREEK AT I-39 NEAR COLOMA, WI 04072150: Stage=11.42ft,2024-02-26 17:00:00,Floodstage=18ft,Not ranked,Ice affected,DUCK CREEK NEAR HOWARD, WI 04072076: Stage=2.45ft,2024-02-26 17:00:00,Not ranked,Ice affected,SILVER CREEK AT FLORIST DRIVE AT ONEIDA, WI 04071765: Flow=540cfs,Stage=4.74ft,Floodstage=9ft,2024-02-26 17:00,Not ranked,OCONTO RIVER NEAR OCONTO, WI 04069416: Flow=478cfs,Stage=8.05ft,Floodstage=12ft,2024-02-26 15:00,Not ranked,PESHTIGO RIVER AT PORTERFIELD, WI 04067958: Stage=4.02ft,2024-02-26 17:00:00,Floodstage=9ft,Not ranked,Ice affected,PESHTIGO RIVER NEAR WABENO, WI 04067500: Stage=9.21ft,2024-02-26 17:00:00,Floodstage=15ft,Not ranked,Ice affected,MENOMINEE RIVER NEAR MC ALLISTER, WI 04066800: Stage=9.94ft,2024-02-26 17:00:00,Floodstage=17ft,Not ranked,Ice affected,MENOMINEE RIVER AT KOSS, MI 04066500: Stage=2.74ft,2024-02-26 17:00:00,Floodstage=6.5ft,Not ranked,Ice affected,PIKE RIVER AT AMBERG, WI 04066030: Flow=2010cfs,Stage=7.08ft,Floodstage=14ft,2024-02-26 17:30,Not ranked,MENOMINEE RIVER AT WHITE RAPIDS DAM NEAR BANAT, MI 04066003: Stage=7.72ft,2024-02-26 17:00:00,Floodstage=16ft,Not ranked,Ice affected,MENOMINEE RIVER BELOW PEMENE CREEK NR PEMBINE, WI 04065106: Stage=6.36ft,2024-02-26 17:00:00,Floodstage=13ft,Not ranked,Ice affected,MENOMINEE RIVER AT NIAGARA, WI 04060993: Stage=3.60ft,2024-02-26 17:30:00,Floodstage=9ft,Not ranked,Ice affected,BRULE RIVER AT US HIGHWAY 2 NEAR FLORENCE, WI 04037400: Stage=4.07ft,2024-02-26 16:45,Not ranked,CISCO LAKE NEAR WATERSMEET, MI 04031000: Stage=2.39ft,2024-02-26 17:00:00,Floodstage=10ft,Not ranked,Ice affected,BLACK RIVER NEAR BESSEMER, MI 04027595: Stage=1.71ft,Floodstage=8.5ft,2024-02-26 15:00,Not ranked,BAD RIVER AT ODANAH, WI 04027000: Stage=2.89ft,2024-02-26 17:45:00,Floodstage=16ft,Not ranked,Ice affected,BAD RIVER NEAR ODANAH, WI 04026561: Stage=3.37ft,2024-02-26 17:30:00,Floodstage=9ft,Not ranked,Ice affected,TYLER FORKS RIVER AT STRICKER ROAD NEAR MELLEN, WI 04026390: Stage=4.62ft,2024-02-26 17:00,Not ranked,BEARTRAP CREEK AT U.S. HIGHWAY 2 NEAR ASHLAND, WI 04024430: Stage=4.89ft,2024-02-26 17:00:00,Floodstage=24ft,Not ranked,Back Water,NEMADJI RIVER NEAR SOUTH SUPERIOR, WI Go to WaterWatch (offsite) for a larger map with additional options