Liu Yang , Youru Hao , Bing Wang , Xiaoying Li , Wanfei Gao
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引用次数: 0
Abstract
The evaluation of Water Resources Carrying Capacity (WRCC) is an important guide for regional economic and social development planning. Based on the Driving Force–Pressure–State–Impact–Response–Management (DPSIRM) conceptual model, this study constructed a 22-indicator system covering the WRCC of Shaanxi Province, and used the Technique of Ordering Preferences for Similarity to Ideal Solutions (TOPSIS) model to comprehensively assess the WRCC of Shaanxi Province from 2012 to 2021. An in-depth analysis of the main obstacle factors of WRCC in Shaanxi Province was carried out using the obstacle degree model. Based on the analytical results of the WRCC and the degree of obstacles, countermeasures were proposed. The results show that: (1) the level of WRCC in Shaanxi Province from 2012 to 2021 generally showed an upward trend, with a lower level of WRCC during 2012–2018, and gradually improving level from 2019 to 2021; (2) regional differences are apparent, with the WRCC level in Qinba Mountain significantly better than that in the Guanzhong Basin and Loess Plateau. Among them, the capital city of Xi’an showed an overall increasing WRCC trend, from Class II level in 2012 to Class IV level in 2021; (3) daily urban wastewater treatment capacity, total water resources, and water production modulus are obstacle factors that most significantly affect the improvement of WRCC in Shaanxi Province. The results of the study can provide guidance for regional water resources management.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.