基于AMPSO算法的住宅区LID布设方案优化研究AMPSO algorithm-based study on optimization of layout of LID facilities for residential quarter
汤梓杰,刘浩泉,杨侃,刘凡
摘要(Abstract):
针对海绵城市建设预算效用最大化问题,开展了住宅区绿地低影响开发(LID)设施布设优化研究。在住宅区暴雨洪水管理模型(SWMM)中确定LID加权的汇水区径流系数计算函数,以径流系数与经济成本为目标,采用改进的自适应变异粒子群算法(AMPSO)进行优化求解最优下凹式绿地与雨水花园的布设面积。在AMPSO算法中,对非最优粒子引入以种群多样性算子为参数的变异概率进行随机变异,对停滞的粒子进行初始化。将AMPSO算法应用于两种经典测试函数中验证了其在提高种群多样性与局部搜索能力表现上的优越性。将方法应用于南京市某海绵城市试点建设住宅区,结果表明:(1)绿地LID建设总预算897万元情况下,总体最优配比在小规模降雨下径流控制效果达到近50%,在中大规模降雨下能达到30%左右;(2)大规模降雨下,下凹式绿地设施布设应注意平均且较小规模降雨下占比更多,以引导严重积水流散;(3)绿地LID建设应注重各设施间搭配作用,海绵城市建设应注重LID设施布设与地下管网同步优化。方法优化结构合理,可供海绵城市建设中LID设施优化设计参考。
关键词(KeyWords): 海绵城市;改进的AMPSO算法;SWMM;LID设施;方案优化;降雨;径流;下凹式绿地
基金项目(Foundation): 国家重点基础研究发展计划(973计划)资助项目(2012CB417006);; 国家科技支撑计划资助项目(2009BAC56B03);; 江苏省省级大学生创新创业训练项目(201910294002Y)
作者(Author): 汤梓杰,刘浩泉,杨侃,刘凡
DOI: 10.13928/j.cnki.wrahe.2021.11.008
参考文献(References):
- [1] 俞孔坚,李迪华.城市景观之路:与市长交流[M].北京:中国建筑工业出版社,2003.YU Kongjian,LI Dihua.Road to the cityscape:talk with the mayors[M].Beijing:China Architecture & Building Press,2003.
- [2] Low-Impact Development Center.Low impact development(LID):a literature review[M].Washington:United States Environmental Protection Agency,2000.
- [3] 唐双成,罗纨,贾忠华,等.雨水花园对不同赋存形态氮磷的去除效果及土壤中优先流的影响[J].水利学报,2015,46(8):943-950.TANG Shuangcheng,LUO Wan,JIA Zhonghua,et al.An experimental study on N and P reductions in a rain garden and the influence of preferential flow[J].Journal of Hydraulic Engineering,2015,46(8):943-950.
- [4] 杨丽琼.生物滞留技术重金属净化机理与风险评估[D].北京:北京建筑大学,2014.YANG Liqiong.Heavy metal removal mechanism and risk assessment through bioretention technology[D].Beijing:Beijing University of Civil Engineering and Architecture,2014.
- [5] 罗鸣,叶兴成,王飞,等.下凹式绿地与雨水花园在小区尺度应用中的对比[J].节水灌溉,2018(2):117-121.LUO Ming,YE Xingcheng,WANG Fei,et al.Comparison of sunken green space and rainwater garden in residential area scale application[J].Water Saving Irrigation,2018(2):117-121.
- [6] 唐双成,罗纨,贾忠华,等.雨水花园对暴雨径流的削减效果[J].水科学进展,2015,26(6):787-794.TANG Shuangcheng,LUO Wan,JIA Zhonghua,et al.The effect of rain gardens on storm runoff reduction[J].Advances in Water Science,2015,26(6):787-794.
- [7] 黄婉梅.基于LID技术设施的植物选择与配置研究[D].福州:福建农林大学,2015.HUANG Wanmei.Study on plant selection and configuration based on LID facilities[D].Fuzhou:Fujian Architecture and Forestry University,2015.
- [8] 叶海跃,江婷,周忠胜,等.长江南京段海绵城市建设植物途径策略构建[J].北方园艺,2020(11):162-167.YE Haiyue,JIANG Ting,ZHOU Zhongsheng,et al.Construction of plant approach strategy for sponge city construction in Nanjing Section of Yangtze River[J].Northern Horticulture,2020(11):162-167.
- [9] 梁芊,杨艳娜,冯文凯,等.基于LID的SWMM模型在雨洪控制中的应用[J].太原理工大学学报,2020,51(3):380-388.LIANG Qian,YANG Yanna,FENG Wenkai,et al.Application of LID-based SWMM model in stormwater control[J].Journal of Taiyuan University of Technology,2020,51(3):380-388.
- [10] 王琳,陈刚,王晋.基于SWMM的济南韩仓河流域宏观LID实践模拟[J].中国农村水利水电,2020(4):1-4.WANG Lin,CHEN Gang,WANG Jin.Jinan Hancang River Basin macroscopic LID practice simulation based on SWMM[J].China Rural Water and Hydropower,2020(4):1-4.
- [11] 侯精明,李东来,王小军,等.建筑小区尺度下LID措施前期条件对径流调控效果影响模拟[J].水科学进展,2019,30(1):45-55.HOU Jingmin,LI Donglai,WANG Xiaojun,et al.Simulates the effect of LID on runoff regulation under the scale of building district [J].Advances in Water Science,2019,30(1):45-55.
- [12] 李旦,叶长青.基于耦合SWMM模型和NSGA-Ⅱ算法的多目标低影响开发措施优化设计方法及应用[J].水电能源科学,2019,37(6):58-61.LI Dan,YE Changqing.Based on the coupling of SWMM model and the NSGA-Ⅱ algorithm of the multi-objective optimization design method of low impact development measures and application[J].Water Resources and Power,2019,37(6):58-61.
- [13] 王婷,刁秀媚,刘俊,等.基于SWMM的老城区LID布设比例优化研究[J].南水北调与水利科技,2017,15(4):39-43.WANG Ting,DIAO Xiumei,LIU Jun,et al.Study on proportion optimization of LID layout in old city based on SWMM[J].South-to-North Water Transfers and Water Science & Technology,2017,15(4):39-43.
- [14] 张士官,吕谋,刘春娜,等.低影响开发设施布设对区域雨洪控制效果研究[J/OL].人民黄河,2020,42(7):73-76.ZHANG Shiguan,LYU Mou,LIU Chunna,et al.Study on the effect of low-impact development facility layout on regional stormwater control[J/OL].Yellow River,2020,42(7):73-76.
- [15] 陶涛,颜合想,李树平,等.城市雨水管理模型关键问题探讨(一):汇流模型[J].给水排水,2017,53(3):36-40.TAO Tao,YAN Hexiang,LI Shuping,et al.Discussion on key issues of urban stormwater management model (I):confluence model[J].Water Supply and Drainage Engineering,2017,53(3):36-40.
- [16] 田东平.混沌粒子群优化算法研究[J].计算机工程与应用,2013,49(17):43-46.TIAN Dongping.Research on chaos particle swarm optimization algorithm[J].Computer Engineering and Applications,2013,49(17):43-46.
- [17] 郁磊,史峰,王辉,等.MATLAB智能算法30个案例分析[M].北京:北京航空航天大学出版社,2015.YU Lei,SHI Feng,WANG Hui,et al.30 case analysis of MATLAB intelligent algorithm[M].Beijing:Beihang University Press,2015.
- [18] 董丽丽,于苗,徐淑琴.线性递减权重粒子群优化投影寻踪模型及应用[J].排灌机械工程学报,2015,33(12):1044-1048.DONG Lili,YU Miao,XU Shuqin.Projection pursuit model of linear declining-weighted particle swarm optimization and its application[J].Journal of Drainage and Irrigation Machinery Engineering,2015,33(12):1044-1048.
- [19] 周利军,彭卫,邹芳,等.自适应变异粒子群算法[J].计算机工程与应用,2016,52(7):50-55.ZHOU Lijun,PENG Wei,ZOU Fang,et al.Adaptive mutation particle swarm optimization[J].Computer Engineering and Applications,2016,52(7):50-55.
- [20] 强国栋,高锋阳,乔垚,等.基于改进粒子群算法的配电网无功优化[J].电测与仪表,2018,55(14):21-26.QIANG Guodong,GAO Fengyang,QIAO Yao,et al.Reactive power optimization of distribution network based on improved Particle swarm optimization[J].Electrical Measurement & Instrumentation,2018,55(14):21-26.
- [21] 陈海彬,郭建文,孙振忠,等.基于自适应变异粒子群优化算法的产品装配序列规划[J].组合机床与自动化加工技术,2015(7):153-156.CHEN Hai,GUO Jianwen,SUN Zhenzhong,et al.Product assembly sequence planning based on adaptive mutation particle swarm optimization algorithm[J].Combined Machine Tool and Automatic Machining Technology,2015(7):153-156.
- [22] 叶德意,何正友,臧天磊.基于自适应变异粒子群算法的分布式电源选址与容量确定[J].电网技术,2011,35(6):155-160.YE Deyi,HE Zhengyou,ZANG Tianlei.Location and capacity determination of distributed power supply based on adaptive mutation particle swarm optimization algorithm[J].Power System Technology,2011,35(6):155-160.
- [23] 高飞.MATLAB智能算法超级学习手册[M].北京:人民邮电出版社,2014.GAO Fei.MATLAB intelligent algorithm super learning manual[M].Beijing:People′s Posts & Telecommunications Publishing House,2014.
- [24] ROSSMAN L A.Storm water management model user′s manual (Version 5.0) [M].Georgia:Water Supply and Water Resources Division,National Risk Management Research Laboratory,USEPA,2004.
- [25] 孔向东.三种典型LID渗透减排措施控制效果比选[J].铁道勘察,2015,41(4):86-90.KONG Xiangdong.Control effects comparison of three kinds of typical LID infiltration and emission reduction measure[J].Railway Investigation and Surveying,2015,41(4):86-90.
- [26] 黄铁兰,刘志航,柯锦灿.基于暴雨管理模型的广州某城市住区的低影响开发规划[J].人民珠江,2018,39(8):99-105.HUANG Tielan,LIU Zhihang,KE Jingcan.Low impact development planning of a residential area in Guangzhou based on rainstorm management model[J].Pearl River,2018,39(8):99-105.