Wisconsin Water Science Center

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Since 1906, the Wisconsin Water Science Center has been collecting high-quality hydrologic data and conducting unbiased, scientifically sound research on Wisconsin's water resources. We strive to meet the changing needs of those who use our information—from the distribution, availability, and quality of our water resources to topic-oriented research that addresses current hydrological issues.

Current Wisconsin Water Conditions

Current Wisconsin Water Conditions

Explore real-time Wisconsin streamflow, groundwater, and water-quality conditions and access data with our new interactive map application.

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Feature: Wisconsin Modeling Center

Feature: Wisconsin Modeling Center

The Wisconsin Modeling Center provides one-stop access to advanced computing so no project is limited by a lack of computer power through hardware access, assistance with migration and implementation, and training.

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Publications

Primary sources and toxicity of PAHs in Milwaukee-area streambed sediment
Year Published: 2016

Primary sources and toxicity of PAHs in Milwaukee-area streambed sediment

High concentrations of polycyclic aromatic hydrocarbons (PAHs) in streams can be a significant stressor to aquatic organisms. To understand the likely sources and toxicity of PAHs in Milwaukee-area streams, streambed sediment samples from 40 sites and parking lot dust samples from 6 sites were analyzed for 38 parent PAHs and 25 alkylated PAHs.

The 2016 groundwater flow model for Dane County, Wisconsin
Year Published: 2016

The 2016 groundwater flow model for Dane County, Wisconsin

A new groundwater flow model for Dane County, Wisconsin, replaces an earlier model developed in the 1990s by the Wisconsin Geological and Natural History Survey (WGNHS) and the U.S. Geological Survey (USGS). This modeling study was conducted cooperatively by the WGNHS and the USGS with funding from the Capital Area Regional Planning Commission (CARPC).

A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)
Year Published: 2016

A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)

Oil–particle interactions play a major role in removal of free oil from the water column. We present a new conceptual–numerical model, A-DROP, to predict oil amount trapped in oil–particle aggregates. A new conceptual formulation of oil–particle coagulation efficiency is introduced to account for the effects of oil stabilization by particles, particle hydrophobicity, and oil–particle size ratio...