Accuracy of a Stormwater Monitoring Program for Urban Landuses
- Authors
- Madarang, Krish; Kang, Joo-Hyon
- Issue Date
- Sep-2013
- Publisher
- WATER ENVIRONMENT FEDERATION
- Keywords
- stormwater; monitoring; urban runoff; best management practice; stormwater management model; Monte Carlo sampling
- Citation
- WATER ENVIRONMENT RESEARCH, v.85, no.9, pp 815 - 822
- Pages
- 8
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- WATER ENVIRONMENT RESEARCH
- Volume
- 85
- Number
- 9
- Start Page
- 815
- End Page
- 822
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/23667
- DOI
- 10.2175/106143013X13736496908942
- ISSN
- 1061-4303
1554-7531
- Abstract
- This study examined the accuracy of an urban stormwater monitoring program in estimating the annual discharge load (L-T) and the annual reduction rate by a stormwater treatment device (R-T) for total suspended solids. A calibrated stormwater management model was used to generate the entire stormwater runoff events in one year and was used to estimate L-T and R-T under different monitoring strategies having limited numbers of runoff events, including random, wet season, antecedent dry days (ADD)-based, monthly, and seasonally weighted. For random monitoring, 12 storms were required to estimate the values of L-T and R-T with mean relative errors of 13.98 and 0.24%, respectively. Monthly monitoring had slightly greater mean relative errors compared to random monitoring. Wet season and ADD-based monitoring under-or overestimated both L-T and R-T. Monitoring with equal numbers of storms from the wet and dry seasons best estimated L-T and R-T.
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- Appears in
Collections - College of Engineering > Department of Civil and Environmental Engineering > 1. Journal Articles

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