Zhang, Y.; Zhao, W.; Chen, X.; Jun, C.; Hao, J.; Tang, X.; Zhai, J. Assessment on the Effectiveness of Urban Stormwater Management. Preprints2020, 2020090204. https://doi.org/10.20944/preprints202009.0204.v1
APA Style
Zhang, Y., Zhao, W., Chen, X., Jun, C., Hao, J., Tang, X., & Zhai, J. (2020). Assessment on the Effectiveness of Urban Stormwater Management. Preprints. https://doi.org/10.20944/preprints202009.0204.v1
Chicago/Turabian Style
Zhang, Y., Xiaonan Tang and Jun Zhai. 2020 "Assessment on the Effectiveness of Urban Stormwater Management" Preprints. https://doi.org/10.20944/preprints202009.0204.v1
Abstract
Stormwater management is a key urban issue in the world, in line with the global issues of urban sprawl and climate change. It is urgent to investigate the effectiveness in managing stormwater with different strategies for maintain urban resilience. A method based on a storm water management model (SWMM) was developed for assessing the control of stormwater runoff volume and the percentage removal of suspended solids by implementing a Sponge City strategy. An interdisciplinary approach was adopted incorporating Low Impact Development (LID) with urban Green Infrastructure and Gray Infrastructure paradigms in a typical old residential community in Suzhou, China. Four types of sponge facilities for reducing stormwater runoff were bio-retention cells, permeable pavements, grassed pitches, and stormwater gardens. The simulation results indicate that the stormwater pipe system can meet the management standard for storms with a five-year recurrence interval. The volume capture ratio of annual runoff is 91% and the reduction rate of suspended solids is 56%. This study demonstrates that Sponge City strategy is an effective approach for managing stormwater, particularly in old and densely populated urban areas. Implementing spongy facilities with a LID strategy for stormwater management can significantly enhance urban water resilience and increase ecosystem services.
Keywords
Sponge City; Residential Community; SWMM (Storm Water Management Model); Ecosystem Services; Low Impact Development (LID); China
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
