Approaches for Determining and Complying with TMDL Requirements Related to Roadway Stormwater Runoff

Lantin, Anna; Larsen, Laura; Vyas, Ankita; Barrett, Michael J.; Leisenring, Marc; Koryto, Kevin M.; Pechacek, Linda D.

doi:10.17226/25473

Cited by 4 publications

(3 citation statements)

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“…As such, it provides practice-ready information about runoff quality and the need for mitigation measures to reduce the potential for adverse effects of runoff on receiving water quality. For example, the population of geometric mean concentrations for TSS and total phosphorus (TP) from different sites in the HRDB are shown in Figure 4; geometric mean concentrations are discussed because highwayrunoff quality commonly is analyzed using the lognormal distribution (7,10,12,14,(16)(17)(18)(19)(20)(21). Geometric means for TSS and TP range from 1.58 to 1,379 mg/L and 0.017 to 2.82 mg/L with median values of 42 and 0.12 mg/L, respectively.…”

Section: Purpose and Scopementioning

confidence: 99%

“…The HRDB can be used with BMP treatment statistics (22) and SELDM to conduct similar analyses for different constituents, different areas, and different criteria to evaluate runoff-quality exceedance risks with and without BMPs. This example demonstrated use of the HRDB and SELDM to conduct a runoff-quality risk analysis, but other studies have used these tools to simulate long-term constituent loads and yields that can be used in TMDL analyses (for example, 12,[15][16][17][18]21).…”

Section: Purpose and Scopementioning

confidence: 99%

“…The HRDB is a data warehouse and a preprocessor for the Stochastic Empirical Loading and Dilution Model (SELDM) ( 6 , 9 ). Since the initial publication in 2009, the HRDB has been used in research efforts to evaluate potential effects of runoff on receiving waters ( 10 – 12 ), evaluate the performance of post-construction stormwater best management practices ( 11, 13–15 ), and estimate total maximum daily loads (TMDLs) ( 16 – 18 ) for national and state research efforts.…”

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confidence: 99%

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Simulating Runoff Quality with the Highway Runoff Database and the Stochastic Empirical Loading and Dilution Model

Granato

Jones

2019

Transportation Research Record

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Stormwater practitioners need quantitative information about the quality and volume of highway runoff to assess and mitigate potential adverse effects of runoff on the Nation's receiving waters. The U.S. Geological Survey developed the Highway Runoff Database (HRDB) in cooperation with the FHWA to provide practice-ready information to meet these information needs on the local or national scale. This paper describes the datasets that are available in version 1.1 of the HRDB and demonstrates how data and statistics from the HRDB can be used with the Stochastic Empirical Loading and Dilution Model (SELDM) to simulate highway runoff. The HRDB includes 249 sites, 6,849 runoff events, and 106,869 event mean concentrations (EMCs) collected during the 1975-2017 period. It includes data from 16 States in the conterminous United States and from Hawaii. The EMCs in the HRDB include measurements for 415 different water-quality constituents. These water-quality measurements include 32,944 trace-metal; 27,496 organic; 15,684 nutrient; 13,016 physical property; 10,307 major inorganic; 6,773 sediment; and 649 other constituent values. There are large variations in the data. For example, EMCs for total suspended solids and total phosphorus range from 0.4 to 5,440 mg/L and 0.004 to 22 mg/L, respectively; geometric means range from 1.58 to 1,379 mg/L and 0.017 to 2.82 mg/L for these constituents, respectively. The example simulations indicate that risks for adverse effects of runoff can vary by orders of magnitude; the HRDB and SELDM facilitate selection of representative statistics from available datasets. State departments of transportation (DOTs) need quantitative information about the properties of highway runoff, including event mean concentrations (EMCs) of water-quality constituents, runoff flows, and runoff loads to assess and mitigate potential adverse effects of highway runoff on the Nation's receiving waters. Organization and centralization of highway-runoff data from various sources has consistently been identified as a high-priority environmental research need by the Federal Highway Administration (FHWA), the Transportation Research Board (TRB), and the National Cooperative Highway Research Program (NCHRP) (1-5). To meet this need, the U.S. Geological Survey developed and published the Highway Runoff Database (HRDB) in cooperation with the FHWA (6-8). The HRDB is a data warehouse and a preprocessor for the Stochastic Empirical Loading and Dilution Model (SELDM) (6, 9). Since the initial publication in 2009, the HRDB has been used in research efforts to evaluate potential effects of runoff on receiving waters (10-12), evaluate the performance of post-construction stormwater best management practices (11, 13-15), and estimate total maximum daily loads (TMDLs) (16-18) for national and state research efforts.

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