Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)

2021/01/01 by Gregory E. Granato, Alana B. Spaetzel, Laura Medalie · 2 citations
Environmental Science · Engineering · #Urban Stormwater Management Solutions #Flood Risk Assessment and Management #Water resources management and optimization

paper · pdf · doi:10.3133/sir20205136

openalex publication_date 2021/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/14

Abstract

The authors thank the many people who assisted with this report and the associated digital media.

Citations

• Estimating Total Maximum Daily Loads with the Stochastic Empirical Loading and Dilution Model
• Assessing Roadway Contributions to Stormwater Flows, Concentrations, and Loads with the StreamStats Application
• Characterization of stormwater runoff from bridge decks in eastern Massachusetts, 2014–16
• Simulating Runoff Quality with the Highway Runoff Database and the Stochastic Empirical Loading and Dilution Model
• Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
• 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
• Approaches for Determining and Complying with TMDL Requirements Related to Roadway Stormwater Runoff
• Comparison of SELDM Simulated Total-Phosphorus Concentrations with Ecological Impervious-Area Criteria

Cited by

• Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)
• Stochastic empirical loading and dilution model [wikipedia]

Related

• 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
• Simulating Runoff Quality with the Highway Runoff Database and the Stochastic Empirical Loading and Dilution Model
• Assessing water quality from highway runoff at selected sites in North Carolina with the Stochastic Empirical Loading and Dilution Model (SELDM)
• Approaches for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading and Dilution Model (SELDM)
• Assessing Roadway Contributions to Stormwater Flows, Concentrations, and Loads with the StreamStats Application