A novel system of indicators for evaluating system resilience of regional agricultural water resources
A novel system of indicators for evaluating system resilience of regional agricultural water resources
复制标题
区域农业水资源系统韧性评价新指标体系
DOI：
10.2166/ws.2017.084
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发表时间：
2018-02
期刊：
影响因子：
--
通讯作者：
Faiz Muhammad Abrar
中科院分区：
文献类型：
--
作者：
Liu Dong;Ding Yang;Fu Qiang;Zhao Dan;Khan Muhammad Imran;Li Tianxiao;Faiz Muhammad Abrar
构建合理的评价指标体系，对于确定水土资源特征和生态修复具有重要意义。针对传统评价指标体系存在的随机性和不完全性问题，提出了一种基于弹性指标体系的区域农业水资源评价模型。此外，还研究了一种新的评价指标体系和关键指标筛选方法。根据区域农业水资源系统的结构特点，利用层次框架模型构建了层次指标体系，构建了区域农业水资源系统评价指标体系。使用基于标准间相关性(CRITIC)的标准重要性来计算指标权重。然后，利用主成分分析确定指标的完备性，并用层次分析法对结果的可靠性进行检验。将该模型应用于黑龙江省建三江市农垦管理局中国。主要研究结果如下：(1)将评价指标从46个优化为32个，确定了影响建三江市水利局AWS抗灾能力的关键指标；(2)构建了评价指标体系，完成度为85.6%。研究结果为相关资源环境领域的复原力研究提供了一个重要的、实用的模型。
Constructing a reasonable evaluation index system is important for characterizing water and land resources and for ecological restoration. To solve random and incomplete problems using a traditional evaluation index system, a novel model for evaluating regional agricultural water resources using a resilience index system was proposed. In addition, an new method for an evaluation index system and the filtering of key indicators were investigated. Based on the structural characteristics of a regional agricultural water resource system (AWRS), the model for an evaluation index system was built by constructing a hierarchical indicator architecture using a hierarchical framework model. The index weight was calculated using the importance of the criteria based on the inter criteria correlation (CRITIC). Then, index completeness was ensured using principal component analysis, and the reliability of the results was tested using the analytic hierarchy process. The model was applied to the Jiansanjiang Administration of Agricultural Reclamation in Heilongjiang, China. The main results included the following: (1) the index was optimized from 46 to 32, which identified the key indicators that affect the resilience of the Jiansanjiang Administration AWRS, and (2) an evaluation index system was constructed with a completeness of 85.6%. The results of this study provide an important and practical model for studying the resilience of related resources and environmental fields.
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DOI：
10.1007/s11027-014-9546-7
发表时间：
2015-12
影响因子：
4
作者：
H. Maleksaeidi;E. Karami;G. Zamani
通讯作者：
H. Maleksaeidi;E. Karami;G. Zamani
影响因子：
--
作者：
张蕊 Zhang Rui;郑华伟 Zheng Huawei;刘友兆 Liu Youzhao
通讯作者：
张蕊 Zhang Rui;郑华伟 Zheng Huawei;刘友兆 Liu Youzhao
DOI：
--
发表时间：
2010
期刊：
Recyclable Resources and Circular Economy
影响因子：
--
作者：
Hu Ke
通讯作者：
Hu Ke
DOI：
10.5751/es-00342-050218
发表时间：
2002
期刊：
Conservation Ecology
影响因子：
--
作者：
F. Berkes;D. Jolly
通讯作者：
F. Berkes;D. Jolly
影响因子：
--
作者：
M. Mnisi;C. Dlamini
通讯作者：
M. Mnisi;C. Dlamini