Resilience Assessment and Influencing Factors Analysis of Water Security System in the Yellow River Basin DOI Open Access
Yuanshuai Sun, Lu Peng, Bo Qu

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9347 - 9347

Опубликована: Окт. 28, 2024

The assessment and regulation of water security system resilience (WSSR) are important ways to alleviate resource crises. On the basis three characteristics resilience, namely, resistance, restoration, adaptability, an evaluation index WSSR was built for Yellow River Basin (YRB). A projection pursuit model based on sparrow search algorithm (SSA-PP model) constructed assess at overall provincial scales from 2009 2022. factors influencing spatial distribution patterns identified through factor detector interactive techniques. results revealed that: (1) From 2022, YRB exhibited a rising trend in WSSR, with western region attaining peak level, eastern recording lowest magnitude. (2) adaptability capacity most provinces regions tended decrease about 1.0, whereas resistance restoration capacities increase towards 2.0. (3) Factors relevant subsystems, such as development utilization ratio resources surface (B2 B3), load (C1), consumption per 10,000 yuan GDP (C8), total precipitation (A1), significantly affected WSSR. interaction between significant enhancement effects explanatory. Therefore, targeted countermeasures recommendations were provided improve YRB.

Язык: Английский

Review of the Water–Land–Food–Carbon Nexus Focused on Regional Low-Carbon and High-Quality Agricultural Development DOI Open Access

Caiyun Deng,

Tianhe Xu, Li Zhang

и другие.

Water, Год журнала: 2024, Номер 16(13), С. 1770 - 1770

Опубликована: Июнь 21, 2024

To overcome the multiple challenges of water scarcity, agricultural land conversion, food security, and carbon emissions, an optimal collaborative management scheme for production is urgently needed, especially in high food-production food-consumption countries such as China. The water–land–food–carbon (WLFC) nexus provides a new perspective, but its interactions are complex, dynamic, spatially heterogeneous; coupling mechanism not fully understood; driving forces regulation strategies remain uncertain. Therefore, this study, WLFC centered on low-carbon high-quality development was systematically reviewed. main contributions follows: (1) A framework regional proposed based bibliographic analysis. (2) internal external factors influencing agriculture were identified by reevaluating meta-analysis review studies. results showed that changes amount type irrigation water, planting activities land, climate change (temperature, precipitation, CO2 concentration) affected (rice, wheat, maize) yields emissions to varying degrees. Moreover, population, technological innovation, trade, polices important impacting emissions. (3) common methods tools assessing, simulating, optimizing summarized from perspectives status, physical links, embodied links. Integrated indices, complex system thinking, process-based data-driven applied studies nexus. (4) Strategies programs within 10 global river basins compiled. These findings could help us better understand identify cooperative scheme, thereby realizing development.

Язык: Английский

Процитировано

2

Fuzzy evaluation and obstacle factors of urban ecological health changes in the Wei River Basin, northwest China DOI Creative Commons
Changxue Wu, Peng Gao,

Jiahui Zhou

и другие.

Ecological Processes, Год журнала: 2024, Номер 13(1)

Опубликована: Июнь 26, 2024

Abstract Background Urban ecological health is crucial for the long-term sustainable development of watershed. Accurately evaluating level environment helps to develop reasonable strategies restoration and resource management. This paper constructed a comprehensive evaluation index system based on Pressure-State-Response (PSR) framework evaluated eleven administrative regions in Wei River Basin (WRB), northwest China 1980, 2000, 2020 using an model established by fuzzy mathematics. Further, obstacle degrees were used quantify contribution pressure, state, response modules, as well individual indicators health. Results The PSR could effectively reflect conditions different WRB. During study period, went through process first deterioration then improvement. By 2020, seven reached healthy levels. state module was main most regions. population density (P1), patch construction land (S5), elasticity (S8), soil erosion (R1), per capital GDP (R3) affecting For cities, factors varied. In economically developed limiting effect P1 more significant, while underdeveloped R3 stronger. Conclusions special natural socio-economic arid semi-arid areas WRB, suitable characteristics basin constructed. results indicated that, improve levels urban health, it necessary restore control size accelerating economic construction. Our can provide scientific support protection WRB even China.

Язык: Английский

Процитировано

2

Characteristics, regional differences, and influencing factors of China’s water-energy-food (W-E–F) pressure: evidence from Dagum Gini coefficient decomposition and PGTWR model DOI
Wei Xiao, Miao He

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(24), С. 66062 - 66079

Опубликована: Апрель 25, 2023

Язык: Английский

Процитировано

6

Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model DOI Open Access
Xiuli Liu, Rui Xiong, Pibin Guo

и другие.

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(12), С. 7345 - 7345

Опубликована: Июнь 15, 2022

Research on the Yellow River Basin’s virtual water is not only beneficial for rational resource regulation and allocation, but it also a crucial means of relieving pressures shortage resources. The stress index pull coefficient have been introduced to calculate implied from intraregional interregional trade in Basin basis multi-regional input–output model; systematic study flow has conducted. analysis illustrated that: (1) Agriculture leading sector terms input output among all provinces Basin, which explains high usage. Therefore, important note that agricultural needs improve its efficiency. In addition agriculture, mainly exported through supply companies upper reaches; middle reaches services transportation industry, lower manufacturing industry. Significant differences exist coefficients same sectors different (regions). average manufacturing, mining, construction industries are large, so necessary formulate stricter use policies. (2) whole basin state net input, is, throughout region. Henan, Shandong, Shanxi, Shaanxi, Qinghai Provinces, relatively short water, import relieve local pressures. However, Gansu Province Ningxia Autonomous Region, where resources abundant, continuous will exacerbate shortage. (3) obvious geographical distribution characteristics. cross-provincial volume downstream area high; upstream low, as midstream areas; relationship insufficient. Henan Shandong Provinces located dominant direction while Inner Mongolia at major sources. Trade exchanges between should be strengthened. utilization planned nationwide reduce pressures, policymakers performance within change main according advantages situation each them.

Язык: Английский

Процитировано

9

Resilience Assessment and Influencing Factors Analysis of Water Security System in the Yellow River Basin DOI Open Access
Yuanshuai Sun, Lu Peng, Bo Qu

и другие.

Sustainability, Год журнала: 2024, Номер 16(21), С. 9347 - 9347

Опубликована: Окт. 28, 2024

The assessment and regulation of water security system resilience (WSSR) are important ways to alleviate resource crises. On the basis three characteristics resilience, namely, resistance, restoration, adaptability, an evaluation index WSSR was built for Yellow River Basin (YRB). A projection pursuit model based on sparrow search algorithm (SSA-PP model) constructed assess at overall provincial scales from 2009 2022. factors influencing spatial distribution patterns identified through factor detector interactive techniques. results revealed that: (1) From 2022, YRB exhibited a rising trend in WSSR, with western region attaining peak level, eastern recording lowest magnitude. (2) adaptability capacity most provinces regions tended decrease about 1.0, whereas resistance restoration capacities increase towards 2.0. (3) Factors relevant subsystems, such as development utilization ratio resources surface (B2 B3), load (C1), consumption per 10,000 yuan GDP (C8), total precipitation (A1), significantly affected WSSR. interaction between significant enhancement effects explanatory. Therefore, targeted countermeasures recommendations were provided improve YRB.

Язык: Английский

Процитировано

1