Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system
Resilience is an important indicator for measuring regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in Ch...
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IWA Publishing
2021
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oai:doaj.org-article:40aec727f9c44d9f977627d0520888d52021-11-06T10:09:02ZIndicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system1606-97491607-079810.2166/ws.2021.090https://doaj.org/article/40aec727f9c44d9f977627d0520888d52021-09-01T00:00:00Zhttp://ws.iwaponline.com/content/21/6/3251https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Resilience is an important indicator for measuring regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in China as an example, a preliminary selection library of the evaluation indicator system for the resilience of a regional agricultural soil–water resource composite system covering seven subsystems and 59 indicators was established. Selection criteria such as the Dale indicator criteria, subjective and objective combination weighting and principal component analysis were introduced to construct an optimization model for the resilience evaluation indicator system for the ASWRS. First, 14 indicators that were incomplete or incapable were removed. Then, the Dale indicator selection criteria were used to ensure that 14 indicators were selected. The binary fuzzy comparison method and criteria importance through interference correlation method were used to calculate the combination weight. Finally, an indicator system optimization model was established. The indicator system was optimized from 59 to 35 indicators, and the completeness of the indicator system reached 85.75%. The proposed method had obvious advantages in terms of indicator identification and elimination, and it may truly achieve the goal of indicator optimization. HIGHLIGHTS Resilience has become a research hotspot of agricultural soil–water engineering.; According to the Dale criteria construct a suitable evaluation indicator system.; Construction of a suitable indicator system is the key premise for measuring resilience.; Verify the rationality of the indicator system based on the combination weighting.; The model can be used as the basis to select the evaluation indicator resilience.;Dan XuJilong LiuDong LiuQiang FuMo LiMuhammad Abrar FaizSicheng LiuTianxiao LiSong CuiGe YanIWA Publishingarticleagricultural soil-water resource composite system resiliencebfcm-criticcombination weightdale criterionindicator optimizationWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 6, Pp 3251-3266 (2021) |
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DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
agricultural soil-water resource composite system resilience bfcm-critic combination weight dale criterion indicator optimization Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 |
| spellingShingle |
agricultural soil-water resource composite system resilience bfcm-critic combination weight dale criterion indicator optimization Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Dan Xu Jilong Liu Dong Liu Qiang Fu Mo Li Muhammad Abrar Faiz Sicheng Liu Tianxiao Li Song Cui Ge Yan Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| description |
Resilience is an important indicator for measuring regional sustainable development capacity. The construction of a suitable evaluation indicator system is the premise of evaluating regional sustainable development. In this study, taking the Jiansanjiang Administration of Heilongjiang Province in China as an example, a preliminary selection library of the evaluation indicator system for the resilience of a regional agricultural soil–water resource composite system covering seven subsystems and 59 indicators was established. Selection criteria such as the Dale indicator criteria, subjective and objective combination weighting and principal component analysis were introduced to construct an optimization model for the resilience evaluation indicator system for the ASWRS. First, 14 indicators that were incomplete or incapable were removed. Then, the Dale indicator selection criteria were used to ensure that 14 indicators were selected. The binary fuzzy comparison method and criteria importance through interference correlation method were used to calculate the combination weight. Finally, an indicator system optimization model was established. The indicator system was optimized from 59 to 35 indicators, and the completeness of the indicator system reached 85.75%. The proposed method had obvious advantages in terms of indicator identification and elimination, and it may truly achieve the goal of indicator optimization. HIGHLIGHTS
Resilience has become a research hotspot of agricultural soil–water engineering.;
According to the Dale criteria construct a suitable evaluation indicator system.;
Construction of a suitable indicator system is the key premise for measuring resilience.;
Verify the rationality of the indicator system based on the combination weighting.;
The model can be used as the basis to select the evaluation indicator resilience.; |
| format |
article |
| author |
Dan Xu Jilong Liu Dong Liu Qiang Fu Mo Li Muhammad Abrar Faiz Sicheng Liu Tianxiao Li Song Cui Ge Yan |
| author_facet |
Dan Xu Jilong Liu Dong Liu Qiang Fu Mo Li Muhammad Abrar Faiz Sicheng Liu Tianxiao Li Song Cui Ge Yan |
| author_sort |
Dan Xu |
| title |
Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| title_short |
Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| title_full |
Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| title_fullStr |
Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| title_full_unstemmed |
Indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| title_sort |
indicator system optimization model for evaluating resilience of regional agricultural soil–water resource composite system |
| publisher |
IWA Publishing |
| publishDate |
2021 |
| url |
https://doaj.org/article/40aec727f9c44d9f977627d0520888d5 |
| work_keys_str_mv |
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