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Influences of setting sizes and combination of green infrastructures on community’s stormwater runoff reduction

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  • Liu, Wen
  • Chen, Weiping
  • Peng, Chi

Abstract

Implementation of green infrastructures is an effective option for mitigating the impacts of increasing urbanization on stormwater runoff. In this study, we evaluated the runoff reduction effectiveness under various setting sizes of green infrastructures using a process-based stormwater runoff model. The model was validated with field data from a typical community in Beijing and proved to be accurate in estimating stormwater runoff under larger rain events. The pervious area percentage and soil hydraulic properties were key parameters influencing stormwater runoff. The four types of green infrastructures, including green area expanding, concave green space, storage pond and porous brick pavement were effective in reducing stormwater runoff, but single facility except the storage pond could not fully control runoff of 5-year recurrence storm. With integrated green infrastructures, runoff of 5-year recurrence storm could be 100% reduced by expanding the pervious area percentage to over 50%, or increase storage pond volume to over 1800m3, whereas a maximum runoff reduction of 95% could be achieved when the green land was reformed to concave with a depth of 4cm, or 50% of the impervious area was replaced with porous brick pavement with a storage capacity of 8mm. The combination of green infrastructures with proper setting sizes is necessary for optimal control of stormwater runoff management.

Suggested Citation

  • Liu, Wen & Chen, Weiping & Peng, Chi, 2015. "Influences of setting sizes and combination of green infrastructures on community’s stormwater runoff reduction," Ecological Modelling, Elsevier, vol. 318(C), pages 236-244.
    • Handle: RePEc:eee:ecomod:v:318:y:2015:i:c:p:236-244
    DOI: 10.1016/j.ecolmodel.2014.11.007
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    References listed on IDEAS

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    1. Liu, Wen & Chen, Weiping & Peng, Chi, 2014. "Assessing the effectiveness of green infrastructures on urban flooding reduction: A community scale study," Ecological Modelling, Elsevier, vol. 291(C), pages 6-14.
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    1. Barah, Masoud & Khojandi, Anahita & Li, Xueping & Hathaway, Jon & Omitaomu, OluFemi, 2021. "Optimizing green infrastructure placement under precipitation uncertainty," Omega, Elsevier, vol. 100(C).
    2. Byungsun Yang & Dongkun Lee, 2021. "Urban Green Space Arrangement for an Optimal Landscape Planning Strategy for Runoff Reduction," Land, MDPI, vol. 10(9), pages 1-12, August.
    3. Weiwei Yu & Yinhong Hu & Bowen Cui & Yuanyuan Chen & Xiaoke Wang, 2019. "The Effects of Pavement Types on Soil Bacterial Communities across Different Depths," IJERPH, MDPI, vol. 16(10), pages 1-11, May.
    4. Zachary Christman & Mahbubur Meenar & Lynn Mandarano & Kyle Hearing, 2018. "Prioritizing Suitable Locations for Green Stormwater Infrastructure Based on Social Factors in Philadelphia," Land, MDPI, vol. 7(4), pages 1-17, November.
    5. Mahbubur Meenar & Jordan P. Howell & Devon Moulton & Shane Walsh, 2020. "Green Stormwater Infrastructure Planning in Urban Landscapes: Understanding Context, Appearance, Meaning, and Perception," Land, MDPI, vol. 9(12), pages 1-20, December.
    6. Shinsuke Kyoi, 2021. "People’s Avoidance of Neighboring Agricultural Urban Green Infrastructure: Evidence from a Choice Experiment," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    7. Rolf, Werner & Diehl, Katharina & Zasada, Ingo & Wiggering, Hubert, 2020. "Integrating farmland in urban green infrastructure planning. An evidence synthesis for informed policymaking," Land Use Policy, Elsevier, vol. 99(C).
    8. Yu Chen & Jacopo Gaspari, 2023. "Exploring an Integrated System for Urban Stormwater Management: A Systematic Literature Review of Solutions at Building and District Scales," Sustainability, MDPI, vol. 15(13), pages 1-16, June.

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