The optimization of Low Impact Development placement considering life cycle cost using Genetic Algorithm
The optimization of Low Impact Development placement considering life cycle cost using Genetic Algorithm
复制标题
使用遗传算法考虑生命周期成本的低影响开发布局优化
DOI：
10.1016/j.jenvman.2022.114700
复制
发表时间：
2022-02-15
影响因子：
8.7
通讯作者：
Zhao, Tongtong
中科院分区：
文献类型：
--
作者：
Huang, Jeanne Jinhui;Xiao, Meng;Zhao, Tongtong
低影响开发是控制城市径流、缓解非点源污染的有效措施。雨水管理系统的设计中，确定子集水区的LID设施和布局是非常重要的。然而，仍然有很大的不确定性和挑战存在于确定LID设施时，考虑预算，土地利用，土壤表面和地下水以及当地气候等，为了解决这个问题，本研究采用遗传算法（GA）的LID的选择和布局的优化。采用美国环境保护署（EPA）的雨水管理模型（SWMM）模拟城市径流。在遗传算法中，LID规划被编码为0和1。以径流削减量、LID面积和生命周期成本为优化目标。为了检验模型的性能，在天津空港经济区，中国被选为研究区域。结果表明，LID方法的组合是最有效的措施，减少径流通过长期模拟（10年的降雨事件）。在考虑生命周期成本的情况下，评价了土地面积和成本的不同权重对LID选择的影响。当考虑LID面积时，生物保留是首选，当优先考虑成本时，建议采用绿色屋顶。本研究证明了遗传算法在城市LID规划中的可行性。该方法可以帮助决策者更科学地确定基于SWMM模型和遗传算法的LID方案。
Low Impact Development (LID) is an effective measure in controlling the urban runoff and mitigating the non -point source pollution. The determination of LID facilities and layouts for a sub-catchment is important for designing stormwater management system. However, there are remain large uncertainty and challenge exist in determination of LID facilities when consider budget, land use, soil surface and groundwater as well as local climate etc. To address this issue, this study employed Genetic Algorithm (GA) for optimization of the selection and layout of LID. The urban runoff was simulated using Environmental Protection Agency (EPA) Storm Water Management Model (SWMM). The LID planning was encoded as 0 and 1 in GA algorithm. The multiple objectives which include runoff reduction, area of LID and life cycle cost were selected as optimization targets. To test the model performance, the Airport Economic Zone in Tianjin, China was chosen as the study area. The results demonstrate that the combination of LID approaches are most effective measures on runoff reduction through long-term simulation (10 years' rainfall events). The impact of different weights of land area and cost on LID selection were evaluated when considering life cycle cost. Bio-Retention is preferred when considering the area of LID and Green Roof is recommended when the cost is prioritized. The present research proved GA is feasible for LID planning in urban area. The proposed method can help the decision-makers to determine the LID plan more scientific based on SWMM model and GA.