Determining the robust optimal set of BMPs for urban runoff management in data-poor catchments

被引：9

作者：

Aminjavaheri, Sayed Mohammad ^{[1
]}

Nazif, Sara ^{[2
]}

机构：

[1] Univ Tehran, Coll Engn, Grad Sch Civil Engn, Tehran, Iran

[2] Univ Tehran, Coll Engn, Sch Civil Engn, Tehran, Iran

来源：

JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT | 2018年 / 61卷 / 07期

关键词：

urban runoff management; BMPs; data-poor catchments; optimization; CLIMATE-CHANGE; MODEL; CALIBRATION; OPTIMIZATION; SENSITIVITY; DECISIONS; FLOOD; COST;

D O I：

10.1080/09640568.2017.1337567

中图分类号：

F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];

学科分类号：

0201 ; 020105 ; 03 ; 0303 ;

摘要：

Mismanagement of urban runoff can result in inundation which causes serious problems in providing urban services. Best management practices (BMPs) are used for urban runoff management. In this study, a method is proposed to determine the robust optimal set of BMPs for runoff management in data-poor catchments in urban areas. This method includes five main steps: (1) Sensitivity analysis to determine effective parameters in rainfall-runoff simulation model, (2) Calibration of the rainfall-runoff model based on selected effective parameters, (3) Developing a multi-objective optimization model to obtain the optimal sets of BMPs, (4) Selecting the final solutions using the Nash approach for ranking, (5) Evaluation of the robustness of the selected solution using the Management Option Rank Equivalence method. The proposed method is examined in an urban basin located in the north of Tehran, Iran. The results show that the proposed approach provides reliable results for urban runoff management in data-poor areas.

引用

页码：1180 / 1203

页数：24

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