Multi-Objective Optimization of Low Impact Development Designs in an Urbanizing Watershed

作     者：Guoshun Zhang James M. Hamlett Patrick Reed Yong Tang 

作者机构：Bechtel Co. Houston USA Department of Agricultural and Biological Engineering Pennsylvania State University University Park USA Department of Civil and Environmental Engineering Pennsylvania State University University Park USA Tetra Tech Inc. Fairfax USA 

出 版 物：《Open Journal of Optimization》 (最优化（英文）)

年 卷 期：2013年第2卷第4期

页      码：95-108页

摘      要：Multi-objective optimization linked with an urban stormwater model is used in this study to identify cost-effective low impact development (LID) implementation designs for small urbanizing watersheds. The epsilon-Non-Dominated Sorting Genetic Algorithm II (ε-NSGAII) has been coupled with the US Environmental Protection Agency’s Stormwater Management Model (SWMM) to balance the costs and the hydrologic benefits of candidate LID solutions. Our objective in this study is to identify the near-optimal tradeoff between the total LID costs and the total watershed runoff volume constrained by pre-development peak flow rates. This study contributes a detailed analysis of the costs and benefits associated with the use of green roofs, porous pavement, and bioretention basins within a small urbanizing watershed inState College,Pennsylvania. Beyond multi-objective analysis, this paper also contributes improved SWMM representations of LID alternatives and demonstrates their usefulness for screening alternative site layouts for LID technologies.

主 题 词：Multi-Objective Optimization ε-NSGAII Low Impact Development SWMM Stormwater 

学科分类：1002[医学-临床医学类] 100214[100214] 10[医学] 

D　O　I：10.4236/ojop.2013.24013

馆 藏 号：203458800...