Analysis of Interactions and Driving Factors in Subsystems of Regional Water Resource Carrying Capacity: A Case Study of Ningxia Hui Autonomous Region DOI Open Access

Heyuan Zhou,

Suzhen Dang, Chengpeng Lu

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 792 - 792

Published: March 10, 2025

The sustainable utilization of water resources plays a crucial strategic role in regional economic development. carrying capacity (WRCC) is multifaceted system influenced by diverse factors, where the interplay among resources, societal conditions, and ecological elements collectively determines overall WRCC. Combining relevant research results, this paper utilized an improved TOPSIS (Technique for Order Preference Similarity to Ideal Solution) GRA (grey relational analysis)-based WRCC evaluation model, introduced panel vector autoregressive (PVAR) model analyze effects interactions subsystems, applied geographically temporally weighted regression (GTWR) driving analysis Using Ningxia Hui Autonomous Region as case study, discusses internal dynamic relationships mechanisms system. It also provides new perspective discussing water-scarce areas novel approaches optimizing resource management enhancing protection. results indicate that subsystem central Ningxia, with significant interconnections four subsystems. However, spatial temporal heterogeneity evident across different regions. contributes significantly, development having positive impact on resources. social has restrictive

Language: Английский

Analysis of Interactions and Driving Factors in Subsystems of Regional Water Resource Carrying Capacity: A Case Study of Ningxia Hui Autonomous Region DOI Open Access

Heyuan Zhou,

Suzhen Dang, Chengpeng Lu

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 792 - 792

Published: March 10, 2025

The sustainable utilization of water resources plays a crucial strategic role in regional economic development. carrying capacity (WRCC) is multifaceted system influenced by diverse factors, where the interplay among resources, societal conditions, and ecological elements collectively determines overall WRCC. Combining relevant research results, this paper utilized an improved TOPSIS (Technique for Order Preference Similarity to Ideal Solution) GRA (grey relational analysis)-based WRCC evaluation model, introduced panel vector autoregressive (PVAR) model analyze effects interactions subsystems, applied geographically temporally weighted regression (GTWR) driving analysis Using Ningxia Hui Autonomous Region as case study, discusses internal dynamic relationships mechanisms system. It also provides new perspective discussing water-scarce areas novel approaches optimizing resource management enhancing protection. results indicate that subsystem central Ningxia, with significant interconnections four subsystems. However, spatial temporal heterogeneity evident across different regions. contributes significantly, development having positive impact on resources. social has restrictive

Language: Английский

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