Trade-off and driving factors of water-energy-food nexus in Mu Us sandy land, China

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139852 - 139852

Published: Nov. 23, 2023

Language: Английский

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Research on the Coupling Evaluation and Driving Factors of Water–Energy–Carbon in the Yellow River Basin

Water, Journal Year: 2023, Volume and Issue: 15(13), P. 2377 - 2377

Published: June 27, 2023

Taking 57 prefecture-level cities in the Yellow River basin as a research area, this study evaluates coupling coordination level of water–energy–carbon (WEC) system from 2012 to 2021 and explores driving factors coordinated development. The revealed that: (1) development three subsystems all showed an upward trend. carbon exhibited highest level. index energy systems rose steadily, whereas water fluctuated considerably during period, although magnitude fluctuation gradually slowed down. (2) degree displayed distribution characteristic “high east low west, high south north”. While improved year by year, spatial heterogeneity increased. (3) presented positive correlation, agglomeration was dominated “high-high” “low-low” types. area had certain mobility, while areas tendency for spreading towards middle reaches basin. (4) Technological innovation, economic basis, significant impact on development, industrial structure bias clear inhibitory effect. role opening up is not yet significant. Meanwhile, indirect effect each factor greater than direct

Language: Английский

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Evaluation of the Coupling Coordination and Sustainable Development of Water–Energy–Land–Food System on a 40-Year Scale: A Case Study of Hebei, China

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1089 - 1089

Published: July 19, 2024

Driven by economic expansion, urbanization, and population growth, the world is witnessing an escalating demand for water, energy, land, food, posing substantial threats to sustainable development of societies economies. Given intricate interdependencies inherent within water–energy–land–food (WELF) system, it imperative conduct comprehensive assessments coupling coordination WELF system over long time scales diverse characteristic dimensions. This study selects Hebei province, China, as research region, constructing a indicator spanning from 1980 2020 using three dimensions: reliability (Rel), robustness (Rob), equilibrium (Equ). The degree (DCC) index (SDI) were developed evaluation model. Additionally, obstacle model gray relational employed assess indicators that hinder or promote SDI. results indicate that: (1) DCC (range 0–1, bigger better) increased 0.65 0.75 between 1998, then fluctuated 0.69, stabilizing at moderate level coordinated after 2015. (2) For in Hebei, Rel increased, Rob decreased, Equ increased; similarly, also increased. (3) SDI rose 0.45 1980, initially eventually stabilized. After 2014, experienced rapid reaching 0.54 2020, indicating improvement capability. (4) Indicators related dimension land subsystem more critical limiting factors development, while food significant contributors development. These findings offer scientific foundation practical insights comparable regions, aiding resolution resource conflicts, optimization allocation, enhancement regional

Language: Английский

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Towards Sustainability: Cultural-Ecological-Economic Systems Coupling in the Yellow River Basin Based on Service-Dominant Logic

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1149 - 1149

Published: July 27, 2024

The level of coordination between cultural, ecological, and economic systems directly affects the sustainable development Yellow River Basin (YRB). However, researchers have neglected importance cultural elements in social-ecological system paid insufficient attention to interaction YRB. Therefore, a framework coupled cultural-ecological-economic (CEE) was constructed based on service-dominant logic, spatiotemporal distribution, evolutionary trends, factors influencing different 76 major cities YRB were analyzed by using an entropy-weighted TOPSIS model, spatial Markov chain, panel Dubin model. results as follows: (1) showed growing trend, grew faster than ecosystem, ecosystems dominated (2) From 2011 2022, type CEE mainly state slight incongruity, with regions showing temporal consistency synchronized growth, upstream area moderate midstream downstream concentrating general coordination. (3) coupling characteristic “gradually converging from downstream” exhibited low-value agglomeration high-value agglomeration. Meanwhile, there clear trend spillover terms balanced regional development, 67.11% region neighboring areas maintained stable development. (4) Tourism (TD), foreign trade (FT), human environment (HE), government control (GC), other significantly positively impacted In future, focus should be improving transregional infrastructure transportation service YRB, enhance cooperation exchanges regions. This research provides new insights methods for coordinated at watershed scale.

Language: Английский

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Assessing the Coordination Degree of Coupled Human–Water–Ecosystem in the Tarim River Basin of China

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2365 - 2365

Published: Aug. 23, 2024

To understand the current status of water resource utilization and explore coordination degree coupled human–water–ecosystem in Tarim River Basin, we used shortage rates index WUE to analyze dynamic changes use efficiency. We also applied Gini coefficient study evolutionary trend matching between consumption GDP each sector. Based on above analysis, developed a coupling model incorporating various indicators relevant three subsystems quantitatively assess coordinated development basin from 2004 2020. The main findings are as follows: (1) Basin suffers dry years, with prominent supply–demand contradiction. In severe drought years 2009 2014, reached 10.20% 10.93%, respectively. (2) From 2020, Basin’s efficiency (WUE), its five prefectures showed clear upward trend. On multi-year average, Bayingol Mongolian Autonomous Prefecture had highest WUE, while Hotan region lowest. (3) average value match for entire is 0.28. By industry, primary industry’s higher, secondary tertiary industries have lower matches. (4) different degrees trend, generally developing towards better coordination. terms averages, Prefecture, located east, has Meanwhile, Hotan, south, lags significantly behind remaining four regions. Therefore, should further improve optimize sustainable use.

Language: Английский

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