Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China

Currently, with the rapid development of many cities, water problems, such as water logging and water quality deterioration, occur inevitably. Thus, sponge city construction and low impact development (LID) utilization have become more important worldwide. However, previous works have failed to addr...

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Main Authors: Xianghua Liao, Jiaxuan Zheng, Chengli Huang, Guoru Huang
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/10/7/894
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spelling doaj-49ddae1cc8d74a4294860bc9d06cfab12020-11-24T21:58:16ZengMDPI AGWater2073-44412018-07-0110789410.3390/w10070894w10070894Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—ChinaXianghua Liao0Jiaxuan Zheng1Chengli Huang2Guoru Huang3School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, ChinaSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, ChinaDepartment of Mathematics, the College of William and Mary, Williamsburg, VA 23185, USASchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, ChinaCurrently, with the rapid development of many cities, water problems, such as water logging and water quality deterioration, occur inevitably. Thus, sponge city construction and low impact development (LID) utilization have become more important worldwide. However, previous works have failed to address the problem of selecting an optimal LID measure layout scenario by simultaneously considering various evaluation indices without subjective factors. In this study, we applied a new and outstanding statistical classifier, random forest, to aid in addressing this conundrum. It was tested on a case study in LiWan district, Guangzhou city. The following conclusions were drawn. (1) To some extent, LID measures are capable of reducing water discharge and generation of pollutants. (2) Excluding subjective factors, random forest can select an optimal LID measure layout scenario when simultaneously considering multiple indices. This study proposed a novel and effective means to evaluate the hydrologic effects of LID measures when constructing sponge cities and provided a guide for optimizing LID layouts.http://www.mdpi.com/2073-4441/10/7/894sponge cityoptimal low impact development measure layout scenariorandom forest
collection DOAJ
language English
format Article
sources DOAJ
author Xianghua Liao
Jiaxuan Zheng
Chengli Huang
Guoru Huang
spellingShingle Xianghua Liao
Jiaxuan Zheng
Chengli Huang
Guoru Huang
Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China
Water
sponge city
optimal low impact development measure layout scenario
random forest
author_facet Xianghua Liao
Jiaxuan Zheng
Chengli Huang
Guoru Huang
author_sort Xianghua Liao
title Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China
title_short Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China
title_full Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China
title_fullStr Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China
title_full_unstemmed Approach for Evaluating LID Measure Layout Scenarios Based on Random Forest: Case of Guangzhou—China
title_sort approach for evaluating lid measure layout scenarios based on random forest: case of guangzhou—china
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2018-07-01
description Currently, with the rapid development of many cities, water problems, such as water logging and water quality deterioration, occur inevitably. Thus, sponge city construction and low impact development (LID) utilization have become more important worldwide. However, previous works have failed to address the problem of selecting an optimal LID measure layout scenario by simultaneously considering various evaluation indices without subjective factors. In this study, we applied a new and outstanding statistical classifier, random forest, to aid in addressing this conundrum. It was tested on a case study in LiWan district, Guangzhou city. The following conclusions were drawn. (1) To some extent, LID measures are capable of reducing water discharge and generation of pollutants. (2) Excluding subjective factors, random forest can select an optimal LID measure layout scenario when simultaneously considering multiple indices. This study proposed a novel and effective means to evaluate the hydrologic effects of LID measures when constructing sponge cities and provided a guide for optimizing LID layouts.
topic sponge city
optimal low impact development measure layout scenario
random forest
url http://www.mdpi.com/2073-4441/10/7/894
work_keys_str_mv AT xianghualiao approachforevaluatinglidmeasurelayoutscenariosbasedonrandomforestcaseofguangzhouchina
AT jiaxuanzheng approachforevaluatinglidmeasurelayoutscenariosbasedonrandomforestcaseofguangzhouchina
AT chenglihuang approachforevaluatinglidmeasurelayoutscenariosbasedonrandomforestcaseofguangzhouchina
AT guoruhuang approachforevaluatinglidmeasurelayoutscenariosbasedonrandomforestcaseofguangzhouchina
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