Abstract
Quantifying road-deposited sediment (RDS) wash-off is critical in estimating pollutant load and for supporting the designs of urban storm water low-impact development (LID) best management practices (BMPs). The objective of this study was to identify a simple and effective small-scale wash-off load estimation and prediction method suitable for BMP engineering. The reliabilities, complexities, and applicabilities of four prediction methods (i.e., the event mean concentration (EMC) equation method, the exponential equation method, and the RDS mass difference before and after rainfall event method, and the RDS index model) were tested for three sites (i.e., a newly built area, and built-up area, and conservation area) during five natural rainfall events. Taking the calculations by the EMC method as standard results revealed the following. (1) The degree of agreement of the methods with the standard results in descending order was exponential equation method > RDS index model > RDS mass difference. (2) The degree of complexity of the studied methods in descending order was exponential equation method > the EMC equation method > the RDS index model > the RDS mass difference. (3) When considering the applicability of the models in terms of LID-BMP engineering, the RDS index model could be considered optimal for supporting the design of urban storm water BMPs.
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Acknowledgements
We are grateful to Yukun Ma for her help in correcting the language of the manuscript. Furthermore, we thank Changliang Zou, Wangshou Zhang, Linlin Bao, Manli Gong, and Haolu Song for their help in collecting road-deposited sediment and runoff water samples.
Funding
Funding was provided by the National Natural Science Foundation of China (Nos. 41471417 and 41771529) and the Major Science and Technology Program for Water Pollution Control and Treatment (No. 2015ZX07206-006-02).
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Luo, X., Zhao, H., Liao, Y. et al. Evaluation of the methods for quantifying particle wash-off loadings in urban impervious surfaces at small scales. Environ Sci Pollut Res 25, 6969–6979 (2018). https://doi.org/10.1007/s11356-017-1018-7
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DOI: https://doi.org/10.1007/s11356-017-1018-7