Planning Framework for Mesolevel Optimization of Urban Runoff Control Schemes
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 4
Abstract
A planning framework is developed to optimize runoff control schemes at scales relevant for regional planning at an early stage. The framework employs less sophisticated modeling approaches to allow a practical application in developing regions with limited data sources and computing capability. The methodology contains three interrelated modules: (1) the geographic information system (GIS)–based hydrological module, which aims at assessing local hydrological constraints and potential for runoff control according to regional land-use descriptions; (2) the grading module, which is built upon the method of fuzzy comprehensive evaluation. It is used to establish a priority ranking system to assist the allocation of runoff control targets at the subdivision level; and (3) the genetic algorithm-based optimization module, which is included to derive Pareto-based optimal solutions for mesolevel allocation with multiple competing objectives. The optimization approach describes the trade-off between different allocation plans and simultaneously ensures that all allocation schemes satisfy the minimum requirement on runoff control. Our results highlight the importance of considering the mesolevel allocation strategy in addition to measures at macrolevels and microlevels in urban runoff management.
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Acknowledgments
The work was funded by the Natural Science Foundation of Guangdong Province, China (Grant No. 2014A030310121), and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.
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Information & Authors
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Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 4 • April 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: May 19, 2016
Accepted: Oct 15, 2016
Published online: Nov 30, 2016
Published in print: Apr 1, 2017
Discussion open until: Apr 30, 2017
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