Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model

To facilitate better implementation of flood control and risk mitigation strategies, a model for evaluating the flood defense capability of China is proposed in this study. First, nine indicators such as slope and precipitation intensity are extracted from four aspects: objective inclusiveness, subj...

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Main Authors: Weihan Zhang, Xianghe Liu, Weihua Yu, Chenfeng Cui, Ailei Zheng
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/6/772
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author Weihan Zhang
Xianghe Liu
Weihua Yu
Chenfeng Cui
Ailei Zheng
author_facet Weihan Zhang
Xianghe Liu
Weihua Yu
Chenfeng Cui
Ailei Zheng
author_sort Weihan Zhang
collection DOAJ
description To facilitate better implementation of flood control and risk mitigation strategies, a model for evaluating the flood defense capability of China is proposed in this study. First, nine indicators such as slope and precipitation intensity are extracted from four aspects: objective inclusiveness, subjective prevention, etc. Secondly, the entropy weight method in the multi-attribute decision making (MADM) model and the improved three-dimensional technique for order preference by similarity to ideal solution (3D-TOPSIS) method were combined to construct a flood defense capacity index evaluation system. Finally, the receiver operating characteristic (ROC) curve and the Taylor plot method were innovatively used to test the model and indicators. The results show that nationwide, there is fine flood defense performance in Shandong, Jiangsu and room for improvement in Guangxi, Chongqing, Tibet and Qinghai. The good representativity of nine indicators selected by the model was verified by the Taylor plot. Simultaneously, the ROC calculated area under the curve (AUC) was 70%, which proved the good problem-solving ability of the MADM-GIS model. An accurate assessment of the sensitivity of flood control capacity in China was achieved, and it is suitable for situations where data is scarce or discontinuous. It provided scientific reference value for the planning and implementation of China’s flood defense and disaster reduction projects and emergency safety strategies.
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spelling doaj.art-fb34663fc2814ee18d26c63426af0c552023-11-23T16:32:53ZengMDPI AGEntropy1099-43002022-05-0124677210.3390/e24060772Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS ModelWeihan Zhang0Xianghe Liu1Weihua Yu2Chenfeng Cui3Ailei Zheng4Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Xianyang 712100, ChinaKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Xianyang 712100, ChinaKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Xianyang 712100, ChinaKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Xianyang 712100, ChinaCollege of Water Resources and Architecture Engineering, Northwest A&F University, Xianyang 712100, ChinaTo facilitate better implementation of flood control and risk mitigation strategies, a model for evaluating the flood defense capability of China is proposed in this study. First, nine indicators such as slope and precipitation intensity are extracted from four aspects: objective inclusiveness, subjective prevention, etc. Secondly, the entropy weight method in the multi-attribute decision making (MADM) model and the improved three-dimensional technique for order preference by similarity to ideal solution (3D-TOPSIS) method were combined to construct a flood defense capacity index evaluation system. Finally, the receiver operating characteristic (ROC) curve and the Taylor plot method were innovatively used to test the model and indicators. The results show that nationwide, there is fine flood defense performance in Shandong, Jiangsu and room for improvement in Guangxi, Chongqing, Tibet and Qinghai. The good representativity of nine indicators selected by the model was verified by the Taylor plot. Simultaneously, the ROC calculated area under the curve (AUC) was 70%, which proved the good problem-solving ability of the MADM-GIS model. An accurate assessment of the sensitivity of flood control capacity in China was achieved, and it is suitable for situations where data is scarce or discontinuous. It provided scientific reference value for the planning and implementation of China’s flood defense and disaster reduction projects and emergency safety strategies.https://www.mdpi.com/1099-4300/24/6/772MADM-GIS model3D-TOPSIS methodROC curvevisualization of flood control capacityentropy weight method
spellingShingle Weihan Zhang
Xianghe Liu
Weihua Yu
Chenfeng Cui
Ailei Zheng
Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model
Entropy
MADM-GIS model
3D-TOPSIS method
ROC curve
visualization of flood control capacity
entropy weight method
title Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model
title_full Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model
title_fullStr Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model
title_full_unstemmed Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model
title_short Spatial-Temporal Sensitivity Analysis of Flood Control Capability in China Based on MADM-GIS Model
title_sort spatial temporal sensitivity analysis of flood control capability in china based on madm gis model
topic MADM-GIS model
3D-TOPSIS method
ROC curve
visualization of flood control capacity
entropy weight method
url https://www.mdpi.com/1099-4300/24/6/772
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