Journal Article10.1016/J.SCS.2021.102706
Multi-objective layout optimization for sponge city by annealing algorithm and its environmental benefits analysis
Lin She,Ming Wei,Xue-Yi You +2 more
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TL;DR: In this paper, a multi-objective optimization method of the minimization of rainfall runoff, pollutant discharge and construction and operation costs and the maximization of environmental benefit is proposed by Simulated Annealing algorithm in order to fulfill the planning and construction of sponge cities.
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About: This article is published in Sustainable Cities and Society. The article was published on 01 Mar 2021.
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Citations
Low Impact Development (LID) Practices: A Review on Recent Developments, Challenges and Prospects
TL;DR: Low impact development (LID) practices are able to mitigate the detrimental effects of urbanization and climate change due to their salient design features as discussed by the authors, which can help to achieve the goal of sustainable development as it promotes effective urban stormwater management.
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A multi-objective decision-making framework for implementing green-grey infrastructures to enhance urban drainage system resilience
TL;DR: In this article , a multi-objective decision-making framework is developed for the optimization of green-grey infrastructures to understand the trade-off between benefits and retrofit costs under various design configurations, rainfall intensities, and system performance indicators.
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The optimization of Low Impact Development placement considering life cycle cost using Genetic Algorithm.
TL;DR: In this article , the authors employed GA for optimization of the selection and layout of low impact development (LID) facilities and layouts for a sub-catchment is important for designing stormwater management system.
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System dynamics prediction and development path optimization of regional carbon emissions: A case study of Tianjin
Guohao Li,Xue Chen,Xue-Yi You +2 more
TL;DR: This study develops a system dynamics framework to predict and optimize regional carbon emissions in Tianjin, China, using a comprehensive assessment of 13 scenarios, identifying the optimal development path and policy suggestions to mitigate emissions by 106.17 million tons.
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References
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Life cycle GHG emission analysis of power generation systems: Japanese case
TL;DR: In this article, the authors presented the results of a life cycle analysis (LCA) of greenhouse gas emissions from power generation systems in order to understand the characteristics of these systems from the perspective of global warming.
579
The effects of low impact development on urban flooding under different rainfall characteristics.
TL;DR: In this paper, using an urbanizing catchment in China as a case study, the effects of three LID techniques on urban flooding are analyzed and compared with the conventional drainage system design.
510
Quantifying the effect of slope on extensive green roof stormwater retention
TL;DR: In this article, the effect of roof slope on green roof stormwater retention was analyzed from 12 extensive green roof platforms constructed at four slopes (2, 7, 15, and 25%).
447
Opportunities and challenges of the Sponge City construction related to urban water issues in China
TL;DR: Wang et al. as discussed by the authors investigated the challenges and opportunities for Sponge City construction in the future and proposed a good sponge city construction approach to solve the urban water issues, particularly for the waterlogging.
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