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

Granato, Gregory E.; Spaetzel, Alana B.; Medalie, Laura

doi:10.3133/sir20205136

Cited by 4 publications

(15 citation statements)

References 17 publications

(116 reference statements)

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“…SELDM simulates the effects of stormwater treatment stochastically by using statistics calculated from data in the International BMP database (17,23). Although, in theory, changes in precipitation and temperature would affect the hydrologic and physicochemical processes that BMPs use to modify the volume, timing, and quality of stormwater runoff, analyses indicate that BMP monitoring results are transferable across the different climatic zones represented in the BMP database (24).…”

Section: Stormwater Treatment Analysismentioning

confidence: 99%

“…TP was chosen as the water quality constituent for discussion because of the abundance of EMC measurements for this constituent in the region. These simulations were performed as part of a SELDM modeling study by the USGS in cooperation with the FHWA and Connecticut, Massachusetts, and Rhode Island DOTs; an archive of the simulations is publicly available in Granato et al ( 19 ). An empirical relation from the literature was used to evaluate the potential effects of climate change on stormwater treatment.…”

Section: Purpose and Scopementioning

confidence: 99%

“…These analyses, however, were limited to comparisons between temperature effects on the settling velocity of sediment and variations in grain size and specific gravity. The climate change analyses described in this paper were not included in the original SNE study ( 19 ); this paper represents a new interpretation of existing simulation results.…”

Section: Purpose and Scopementioning

confidence: 99%

“…Precipitation statistics covering a wide range of climatic conditions were needed to perform a space-for-time analysis of climate change. In this study precipitation statistics from National Oceanic and Atmospheric Administration (NOAA) hourly precipitation data stations with at least 25 years of data from 1965 to 2006 were used to simulate current conditions with SELDM ( 17 , 19 ). Forty-five selected NOAA stations within and adjacent to the SNE area were selected to represent conditions within SNE and provide a range of statistics that may characterize future conditions within the region (Figure 1, Table 1).…”

Section: Current-period Precipitation Analysismentioning

confidence: 99%

“…The dilution factor and annual-yield analyses depend on the current SNE precipitation statistics (Table 1). These results are derived from 147 highway-runoff yield analyses conducted by using SELDM for a highway-runoff study in SNE ( 19 ). The stormwater treatment analysis is based on current and future temperature analyses produced using the CMIP tool (Figure 2) and applied to an empirical sediment settling equation ( 17 ).…”

Section: Space-for-time Highway-runoff Loading Analysismentioning

confidence: 99%

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Assessing Potential Effects of Climate Change on Highway-Runoff Flows and Loads in Southern New England by Using Planning-Level Space-for-Time Analyses

Jeznach

Granato

Sharar-Salgado

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and Dilution Model to perform space-for-time stormwater quality analyses. This study indicated that spatial variations in precipitation statistics within and adjacent to southern New England are greater than projected climate-related changes for the centroid of this region. A dilution-factor analysis indicated that highway runoff would become a greater proportion of downstream flows if average event volumes or time between event midpoints increase and would become a smaller proportion of downstream flows if event durations increase. Highway-runoff yield analyses for total phosphorus (TP) indicate that uncertainty in water quality statistics results in variations in long-term average yields from about 1.69 to 7.96 times higher than the lowest TP values simulated. In comparison, variations in precipitation statistics cause yield variations that ranged from 1.41 to 1.76 for the different simulated concentrations. An analysis of stormwater treatment indicated that uncertainties in runoff treatment variables are also larger than the magnitude of climate variations. This study does not question the potentially large climate-related changes in hydrologic and hydraulic variables expected to occur in the foreseeable future. It does indicate that uncertainties in the current data and potential effects of land use change on stormwater quality and treatment variables are larger than the projected effects of climate change.

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Section: Stormwater Treatment Analysismentioning

confidence: 99%

Section: Purpose and Scopementioning

confidence: 99%

Section: Purpose and Scopementioning

confidence: 99%

Section: Current-period Precipitation Analysismentioning

confidence: 99%

Section: Space-for-time Highway-runoff Loading Analysismentioning

confidence: 99%

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