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基于 DPSIR 框架的江西省区域水资源安全时空动态评估。

An Assessment of Temporal and Spatial Dynamics of Regional Water Resources Security in the DPSIR Framework in Jiangxi Province, China.

机构信息

Institute of Municipal Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310030, China.

Department of Psychology, University of Arizona, Tucson, AZ 85721, USA.

出版信息

Int J Environ Res Public Health. 2022 Mar 19;19(6):3650. doi: 10.3390/ijerph19063650.

DOI:10.3390/ijerph19063650
PMID:35329338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8955007/
Abstract

Water resources are critical for the survival and prosperity of both natural and socioeconomic systems. A good and informational water resources evaluation system is substantial in monitoring and maintaining sustainable use of water. The Driver-Pressure-State-Impact-Response (DPSIR) framework is a widely used general framework that enabled the measurement of water resources security in five different environmental and socioeconomic subsystems: driver, pressure, state, impact, and response. Methodologically, outcomes of water resources evaluation based on such framework and using fuzzy set pair analysis method and confidence interval rating method depend critically on a confidence threshold parameter which was often subjectively chosen in previous studies. In this work, we demonstrated that the subjectivity in the choice of this critical parameter can lead to contradicting conclusions about water resources security, and we addressed this caveat of subjectivity by proposing a simple modification in which we sample a range of thresholds and pool them to make more objective evaluations. We applied our modified method and used DPSIR framework to evaluate the regional water resource security in Jiangxi Province, China. The spatial-temporal analysis of water resources security level was carried out in the study area, despite the improvement in Pressure, Impact, and Response factors, the Driver factor is found to become less safe over the years. Significant variation of water security across cities are found notably in Pressure and Response factors. Furthermore, we assessed both cross-sectionally and longitudinally the inter-correlations among the DPSIR nodes in the DPSIR framework. The region-specific associations among the DPSIR nodes showed important deviances from the general DPSIR framework, and our analysis showed that in our study region, although Responses of regional government work effectively in improving Pressure and State security, more attention should be paid to improving Driver security in future regional water resources planning and management in Jiangxi Province, China.

摘要

水资源对自然和社会经济系统的生存和繁荣至关重要。一个良好的、信息丰富的水资源评价系统对于监测和维护水资源的可持续利用至关重要。驱动力-压力-状态-影响-响应(DPSIR)框架是一个广泛使用的通用框架,它可以在五个不同的环境和社会经济子系统中衡量水资源安全:驱动力、压力、状态、影响和响应。从方法论上讲,基于该框架和模糊集对分析方法和置信区间评级方法的水资源评价结果严重依赖于置信度阈值参数,而该参数在以前的研究中往往是主观选择的。在这项工作中,我们证明了选择这个关键参数的主观性会导致关于水资源安全的矛盾结论,我们通过提出一个简单的修改来解决这个主观性问题,即在其中我们抽样了一系列阈值并将它们汇集起来以进行更客观的评估。我们应用了我们的修改方法和 DPSIR 框架来评估中国江西省的区域水资源安全。在研究区域进行了水资源安全水平的时空分析,尽管在压力、影响和响应因素方面有所改善,但发现驱动因素多年来变得越来越不安全。在压力和响应因素方面,发现城市之间的水资源安全存在显著差异。此外,我们还评估了 DPSIR 框架中 DPSIR 节点之间的横断面和纵向相关性。DPSIR 节点之间的区域特定关联显示出与一般 DPSIR 框架的重要偏差,我们的分析表明,在我们的研究区域,尽管区域政府的响应措施有效地改善了压力和状态安全,但在未来的江西省水资源规划和管理中,应更加关注改善驱动安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/c6944a7de704/ijerph-19-03650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/79b2f134345b/ijerph-19-03650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/cd1d965332c0/ijerph-19-03650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/f38635be49b2/ijerph-19-03650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/53b4d9163164/ijerph-19-03650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/c6944a7de704/ijerph-19-03650-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/79b2f134345b/ijerph-19-03650-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/cd1d965332c0/ijerph-19-03650-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/f38635be49b2/ijerph-19-03650-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/53b4d9163164/ijerph-19-03650-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe41/8955007/c6944a7de704/ijerph-19-03650-g005.jpg

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