The data set is composed of inputs and outputs of the DST demonstration and application to risk-based TMDLs and water quality risk assessment in Midwest river basins (Upper Mississippi River, Ohio River, and Maumee River). Portions of this dataset are inaccessible because: Too large. They can be accessed through the following means: The data is available in this directory: C:\Users\MHantush\OneDrive - Environmental Protection Agency (EPA)\ScienceHUB\Risk-Based WH-TMDL Tool\gis_files. Format: GIS data files. This dataset is associated with the following publication: Mallya, G., A. Gupta, M.M. Hantush, and R.S. Govindaraju. Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment. ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 131: 104735, (2020).

This dataset includes: (i) all sample removal rate predictions for each advanced on-site wastewater treatment system technology we analyzed; and (ii) all sample total life cycle cost predictions from each advanced on-site wastewater treatment system technology we analyzed under each financing scenario (1-3). This dataset is associated with the following publication: Martin, D., and F. Johnson. Incorporating uncertainty and risk into decision making to reduce nitrogen inputs to impaired waters. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 249: 109380, (2019).

This dataset includes: (i) all sample removal rate predictions for each advanced on-site wastewater treatment system technology we analyzed; and (ii) all sample total life cycle cost predictions from each advanced on-site wastewater treatment system technology we analyzed under each financing scenario (1-3). This dataset is associated with the following publication: Martin, D., and F. Johnson. Incorporating uncertainty and risk into decision making to reduce nitrogen inputs to impaired waters. JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 249: 109380, (2019).

The Division of Drinking Water (DDW) identifies Failing and At-Risk community water systems and K-12 non-transient, non-community schools. This information is displayed online in the Safe and Affordable Funding for Equity and Resilience (SAFER) Dashboard. The data utilized for this assessment is derived from multiple sources: self-reported from water systems, data generated by DDW staff, other California state agencies, and U.S. Census. The data sources, calculation methods, Failing and At-Risk criteria, etc. are fully documented in the annual Drinking Water Needs Assessment report which is published annually on the State Water Board’s website.

A MODFLOW-NWT groundwater/surface-water model was developed to evaluate the responses of low-flow conditions and groundwater levels within the lower San Antonio River Basin, Texas, USA under conditions of reduced recharge and increased groundwater withdrawals. There was concern that decreased recharge and increased groundwater withdrawals may adversely affect streamflow and groundwater levels. History-matching was carried out for the historical conditions of 2006-2013 using highly parameterized inversion with PEST++ which produced a maximum a posteriori model parameter set which formed the central tendency of a posterior parameter ensemble using FOSM- based Monte Carlo uncertainty analysis. The ensembles were also created for two scenarios of 25% reduced recharge and 1% increased groundwater withdrawals or 25% increased groundwater withdrawals. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.1111/gwat.13107).

TDS, TSS, and Flow data used for developing and testing relationships in the Clear Creek Watershed, Colorado. Data for development of relationships was collected by Barbara Butler while at the Colorado School of Mines. Data for testing relationships was obtained from Tim Steele of TDS Consulting in Colorado as provided by the Upper Clear Creek Watershed Association. This dataset is associated with the following publication: Butler, B., and R. Ford. Evaluating Relationships Between Total Dissolved Solids (TDS) and Total Suspended Solids (TSS) in a Mining-Influenced Watershed. Bob Kleinmann Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 37(1): 18-30, (2018).

The Drinking Water Treatability Database (TDB) presents referenced information on the control of contaminants in drinking water. It allows drinking water utilities, first responders to spills or emergencies, treatment process designers, research organizations, regulators and others to access referenced information gathered from thousands of literature sources on regulated and unregulated contaminants.