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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40128

Title: Optimal spatial design of capacity and quantity of rainwater harvesting systems for urban flood mitigation
Authors: Chien-Lin Huang
Nien-Sheng Hsu
Chih-Chiang Wei
Wei-Jiun Luo
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: urban flood mitigation
rainwater harvesting system
stormwater runoff management model
backpropagation neural network
tabu search
spatial design of capacity and quantity
Date: 2015-09
Issue Date: 2017-01-16T01:12:53Z
Publisher: Water
Abstract: Abstract: This study adopts rainwater harvesting systems (RWHS) into a stormwater runoff management model (SWMM) for the spatial design of capacities and quantities of rain barrel for urban flood mitigation. A simulation-optimization model is proposed for effectively identifying the optimal design. First of all, we particularly classified the characteristic zonal subregions for spatial design by using fuzzy C-means clustering with the investigated data of urban roof, land use and drainage system. In the simulation method, a series of regular spatial arrangements specification are designed by using statistical quartiles analysis for rooftop area and rainfall frequency analysis; accordingly, the corresponding reduced flooding circumstances can be simulated by SWMM. Moreover, the most effective solution for the simulation method is identified from the calculated net benefit, which is equivalent to the subtraction of the facility cost from the decreased inundation loss. It serves as the initially identified solution for the optimization model. In the optimization method, backpropagation neural network (BPNN) are first applied for developing a water level simulation model of urban drainage systems to substitute for SWMM to conform to newly considered interdisciplinary multi-objective optimization model, and a tabu search-based algorithm is used with the embedded BPNN-based SWMM to optimize the planning solution. The developed method is applied to the Zhong-He District, Taiwan. Results demonstrate that the application of tabu search and the BPNN-based simulation model into the optimization model can effectively, accurately and fast search optimal design considering economic net benefit. Furthermore, the optimized spatial rain barrel design could reduce 72% of inundation losses according to the simulated flood events.
Relation: 7(9)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40128
Appears in Collections:[海洋環境資訊系] 期刊論文

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