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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MDPI AG
2022-05-01
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Series: | Entropy |
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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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institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-03-09T23:52:10Z |
publishDate | 2022-05-01 |
publisher | MDPI AG |
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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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