LOW IMPACT DEVELOPMENT (LID) LAYOUT OPTIMIZATION FOR RAIL TRANSIT BASES

ZHU Hanbin; ZHENG Yi; YAN Guolin

doi:10.13205/j.hjgc.202304020

Volume 41 Issue 4

Apr. 2023

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(4): 143-148

XIE Mingde, FENG Mei, TANG Yiming, YI Xiaoying, LIU Dan. ANALYSIS ON MICROBIAL COMMUNITY STRUCTURES AND DIVERSITY IN AGED REFUSE[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(2): 42-46. doi: 10.13205/j.hjgc.202202007

Citation:

ZHU Hanbin, ZHENG Yi, YAN Guolin. LOW IMPACT DEVELOPMENT (LID) LAYOUT OPTIMIZATION FOR RAIL TRANSIT BASES[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(4): 143-148. doi: 10.13205/j.hjgc.202304020

Citation:

ZHU Hanbin, ZHENG Yi, YAN Guolin. LOW IMPACT DEVELOPMENT (LID) LAYOUT OPTIMIZATION FOR RAIL TRANSIT BASES[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(4): 143-148. doi: 10.13205/j.hjgc.202304020

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LOW IMPACT DEVELOPMENT (LID) LAYOUT OPTIMIZATION FOR RAIL TRANSIT BASES

doi: 10.13205/j.hjgc.202304020

1. College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China;
2. Shanghai Shentong Metro Group Co., Ltd, Shanghai 200092, China;
3. Shanghai Wanlang Zhishui Technology Co., Ltd, Shanghai 200092, China

Received Date: 2022-07-04
Available Online: 2023-05-26
Publish Date: 2023-04-01

Abstract

Abstract

With the frequent occurrence of extreme weather and the rapid implementation of urbanization construction, urban rail transit flooding due to heavy rainfall brings great safety risks to the normal operation of rail transit. The construction of sponge city based on rainwater management plays an important role in solving the vehicle base runoff problem. This paper constructs the LID optimization arrangement algorithm based on NSGA-Ⅱ with total runoff control rate, total node overload time and total LID engineering cost as the objective functions. The combination scheme and scale of LID measures are optimized from the model perspective to avoid the problem of incomplete manual enumeration in the scenario scheme. Finally, a train base in Shanghai is used as the study area to explore the regional LID deployment scheme. The simulation results show that the coupled SWMM and optimization algorithm can generate a series of LID deployment schemes that take into account the above three objectives, effectively reduce the total amount of regional stormwater runoff and flood flow, improve the regional drainage capacity, and provide technical support for the design of LID schemes for the vehicle base.
- rail transit vehicle base,
- SWMM model,
- NSGA-Ⅱ,
- LID layout optimization,
- total node overload time

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References(13)

References

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