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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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 |
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1725852673144520704 |