Abtin Shahrokh Hamedani, C. D. do Lago, M. Giacomoni
{"title":"Exploring near-optimal locations for bioretention systems in catchment scale using many-objective evolutionary optimization","authors":"Abtin Shahrokh Hamedani, C. D. do Lago, M. Giacomoni","doi":"10.1080/1573062X.2023.2211557","DOIUrl":null,"url":null,"abstract":"ABSTRACT Low impact developments (LIDs) are control measures to restore the hydrologic regime and enhance stormwater quality. Due to LID’s expensive capital and maintenance cost, the placement of LID controls in a watershed is an important planning task and still an open question in the specialized literature. This study proposes a simulation-optimization approach to place bioretention systems within a watershed to optimize their effectiveness. The Stormwater Management Model (SWMM) and the Non-dominated Sorting Genetic Algorithm III (NSGAIII) were coupled to identify the near-optimal locations of bioretentions for near-optimal quality and quantity controls, considering runoff volume, peak flow, total suspended solids, total nitrogen, and cost. Trade-offs were identified between cost versus other objective functions. The results suggest no specific spatial preference in placement of bioretentions under different rainfall regimes in watershed scale. However, in subcatchment scale, the near-optimal placement under single storm events is either maximum or none, while distributed under continuous simulation.","PeriodicalId":49392,"journal":{"name":"Urban Water Journal","volume":"20 1","pages":"813 - 830"},"PeriodicalIF":1.6000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Water Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/1573062X.2023.2211557","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT Low impact developments (LIDs) are control measures to restore the hydrologic regime and enhance stormwater quality. Due to LID’s expensive capital and maintenance cost, the placement of LID controls in a watershed is an important planning task and still an open question in the specialized literature. This study proposes a simulation-optimization approach to place bioretention systems within a watershed to optimize their effectiveness. The Stormwater Management Model (SWMM) and the Non-dominated Sorting Genetic Algorithm III (NSGAIII) were coupled to identify the near-optimal locations of bioretentions for near-optimal quality and quantity controls, considering runoff volume, peak flow, total suspended solids, total nitrogen, and cost. Trade-offs were identified between cost versus other objective functions. The results suggest no specific spatial preference in placement of bioretentions under different rainfall regimes in watershed scale. However, in subcatchment scale, the near-optimal placement under single storm events is either maximum or none, while distributed under continuous simulation.
期刊介绍:
Urban Water Journal provides a forum for the research and professional communities dealing with water systems in the urban environment, directly contributing to the furtherance of sustainable development. Particular emphasis is placed on the analysis of interrelationships and interactions between the individual water systems, urban water bodies and the wider environment. The Journal encourages the adoption of an integrated approach, and system''s thinking to solve the numerous problems associated with sustainable urban water management.
Urban Water Journal focuses on the water-related infrastructure in the city: namely potable water supply, treatment and distribution; wastewater collection, treatment and management, and environmental return; storm drainage and urban flood management. Specific topics of interest include:
network design, optimisation, management, operation and rehabilitation;
novel treatment processes for water and wastewater, resource recovery, treatment plant design and optimisation as well as treatment plants as part of the integrated urban water system;
demand management and water efficiency, water recycling and source control;
stormwater management, urban flood risk quantification and management;
monitoring, utilisation and management of urban water bodies including groundwater;
water-sensitive planning and design (including analysis of interactions of the urban water cycle with city planning and green infrastructure);
resilience of the urban water system, long term scenarios to manage uncertainty, system stress testing;
data needs, smart metering and sensors, advanced data analytics for knowledge discovery, quantification and management of uncertainty, smart technologies for urban water systems;
decision-support and informatic tools;...