Planning Framework for Mesolevel Optimization of Urban Runoff Control Schemes

AbstractA 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 differ...

[1]  Heping Wang,et al.  Adaptation to urbanization impacts on drainage in the city of Hohhot, China. , 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

[2]  John Riverson,et al.  A watershed-scale design optimization model for stormwater best management practices , 2012, Environ. Model. Softw..

[3]  G. Hollis.  The Effect of Urbanization on Floods of Different Recurrence Interval , 1975 .

[4]  X Dong,et al.  A spatial multi-objective optimization model for sustainable urban wastewater system layout planning. , 2012, Water science and technology : a journal of the International Association on Water Pollution Research.

[5]  Giuseppe Formetta,et al.  Hydrological modelling with components: A GIS-based open-source framework , 2014, Environ. Model. Softw..

[6]  Jan Corfee-Morlot,et al.  An assessment of the potential impact of climate change on flood risk in Mumbai , 2011 .

[7]  J. Seibert,et al.  On the calculation of the topographic wetness index: evaluation of different methods based on field observations , 2005 .

[8]  Z. Vojinovic,et al.  On the use of 1D and coupled 1D-2D modelling approaches for assessment of flood damage in urban areas , 2009 .

[9]  Qunxiong Zhu,et al.  Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space , 2006, Decis. Support Syst..

[10]  Catherine Moore,et al.  Pareto-based efficient stochastic simulation–optimization for robust and reliable groundwater management , 2016 .

[11]  James P. Heaney,et al.  Estimation of Urban Imperviousness and its Impacts on Storm Water Systems , 2003 .

[12]  Kuniyoshi Takeuchi,et al.  Flood protection and management: quo vadimus? , 1999 .

[13]  S. Djordjević,et al.  Potential and limitations of 1D modelling of urban flooding , 2004 .

[14]  D. Line,et al.  Effects of Development on Runoff and Pollutant Export , 2007, Water environment research : a research publication of the Water Environment Federation.

[15]  Emily M. Zechman,et al.  Simulation-Optimization Approach to Design Low Impact Development for Managing Peak Flow Alterations in Urbanizing Watersheds , 2013 .

[16]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[17]  Zhongyi Sun,et al.  Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province, China , 2014, Natural Hazards.

[18]  Fernando António Leal Pacheco,et al.  A framework model for the dimensioning and allocation of a detention basin system: The case of a flood-prone mountainous watershed , 2016 .

[19]  Bahram Saghafian,et al.  Hydrology and Earth System Sciences Multi-objective Optimization for Combined Quality–quantity Urban Runoff Control , 2022 .

[20]  Andrea Cevasco,et al.  Geo-hydrological risk management for civil protection purposes in the urban area of Genoa (Liguria, NW Italy) , 2012 .

[21]  Hui Zhang,et al.  Urban flood risk warning under rapid urbanization. , 2015, Environmental research.

[22]  R. Vogel,et al.  Optimal Location of Infiltration-Based Best Management Practices for Storm Water Management , 2005 .

[23]  Xiaoyu Chen,et al.  A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory , 2015, Natural Hazards.

[24]  A. Pathirana,et al.  Urbanization and climate change impacts on future urban flooding in Can Tho city, Vietnam , 2011 .

[25]  Yurong Chen,et al.  Planning of LID–BMPs for urban runoff control: The case of Beijing Olympic Village , 2012 .