Adam Stonewall

A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Tags: Bear Creek, Hydrology, Mill Creek, Oregon, USGS Science Data Catalog (SDC), All tags... Water Quality, biota, copper, phosphorus, sediment transport, suspended material (water), Fewer tags

R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model

This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Tags: Bear Creek, Mill Creek, Oregon, biota, copper, All tags... phosphorus, sediment transport, suspended material (water), Fewer tags

Excel spreadsheet used for calculating hydrograph recession values use in the Stochastic Empirical Loading Dilution Model

Spreadsheet used to calculated hydrograph recession parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053

Categories: Data; Tags: Bear Creek, Mill Creek, Oregon, biota, copper, All tags... phosphorus, sediment transport, suspended material (water), Fewer tags

Excel spreadsheet used for calculating highway site characteristics for use in the Stochastic Empirical Loading Dilution Model

Spreadsheet used to calculate Highway Site characteristics (Drainage area, slope and impervious fraction) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.

Categories: Data; Tags: Bear Creek, Mill Creek, Oregon, biota, copper, All tags... phosphorus, sediment transport, suspended material (water), Fewer tags

Highway-Runoff Database (HRDB) Version 1.0.0b

The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation's receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents....

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Environmental Health, Highway runoff, Highway-Runoff Database, Land Use Change, SELDM, All tags... Stochastic Empirical Loading and Dilution Model, Stormwater, USGS Science Data Catalog (SDC), Water Quality, Water Resources, runoff, Fewer tags