Coupled Coordination of the Water–Food–Energy System in Nine Provinces of the Yellow River Basin: Spatiotemporal Characteristics and Driving Mechanisms DOI Open Access
Lei Nie, Meng-Shan Wu, Zhifang Wu

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 1040 - 1040

Published: April 1, 2025

This study focuses on the Yellow River Basin, a key economic region spanning nine provinces in China, and explores complex interactions within water–food–energy systems. Based theoretical framework of coupled coordination system, an indicator system is developed to assess these Using ArcGIS, identifies spatiotemporal characteristics coupling systems Basin. Additionally, panel data model employed analyze driving mechanisms optimization pathways for enhancing region. The results reveal that (1) degree between Basin varies significantly across space. (2) Overall, relatively low exhibits clustered pattern. (3) Research development (R&D) intensity significant factor influencing

Language: Английский

Exploring the relationship between water–energy consumption and urbanization in China: A urban-rural transformation perspective DOI
Menghang Liu, Chuanglin Fang,

Yu Bai

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107834 - 107834

Published: Jan. 21, 2025

Language: Английский

Citations

0

Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques DOI Open Access
Padala Raja Shekar, Aneesh Mathew,

Fahdah Falah Ben Hasher

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2124 - 2124

Published: March 1, 2025

Sub-watershed prioritization using morphometric analysis and multi-criteria decision-making (MCDM) techniques is a systematic approach to identifying ranking sub-watersheds based on their susceptibility soil erosion. This helps in implementing targeted conservation measures. In this study, the Narangi basin are prioritized by employing integrated with advanced MCDM techniques, including additive ratio assessment (ARAS), complicated proportional (COPRAS), multi-objective optimization (MOORA), technique for order preference similarity ideal solution (TOPSIS). Weights various methods determined criteria importance through an inter-criteria correlation (CRITIC: method), while geospatial ensure precise spatial analysis. The results provide unified of sub-watersheds, revealing that sub-watershed 3 (SW3) SW9 high-priority erosion category; SW1, SW2, SW5, SW8 medium-priority; SW4, SW6, SW7, SW10 low-priority. comprehensive sustainability-oriented equips decision-makers robust tools identify manage at risk erosion, ensuring long-term sustainability land water resources. study aligns sustainable development goal 15 (life land) promotes use practices combat degradation.

Language: Английский

Citations

0

Evaluating the Impact of Transformation and Upgrading on the Green Efficiency of Industrial Water: Evidence from Sectoral Performance DOI

Abderhim Ötkür,

Qiangqiang Rong,

Wencong Yue

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Language: Английский

Citations

0

Coupled Coordination of the Water–Food–Energy System in Nine Provinces of the Yellow River Basin: Spatiotemporal Characteristics and Driving Mechanisms DOI Open Access
Lei Nie, Meng-Shan Wu, Zhifang Wu

et al.

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 1040 - 1040

Published: April 1, 2025

This study focuses on the Yellow River Basin, a key economic region spanning nine provinces in China, and explores complex interactions within water–food–energy systems. Based theoretical framework of coupled coordination system, an indicator system is developed to assess these Using ArcGIS, identifies spatiotemporal characteristics coupling systems Basin. Additionally, panel data model employed analyze driving mechanisms optimization pathways for enhancing region. The results reveal that (1) degree between Basin varies significantly across space. (2) Overall, relatively low exhibits clustered pattern. (3) Research development (R&D) intensity significant factor influencing

Language: Английский

Citations

0