A Five-Dimensional Comprehensive Evaluation of the Yellow River Basin’s Water Environment Using Entropy–Catastrophe Progression Method: Implications for Differentiated Governance Strategies

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1228 - 1228

Published: April 20, 2025

The systematic evaluation of the water environment in Yellow River basin is a critical scientific basis for achieving goals ecological protection and high-quality development. In this study, five-dimensional comprehensive framework (“quality–quantity–space–flow–biota”) consisting 19 indicators was constructed. entropy method catastrophe progression were innovatively combined to solve limitations traditional models characterizing nonlinear relationships within systems. results indicated that basin’s overall index 0.032, classified as “good”. However, spatial differentiation significant, showing step-by-step degradation characteristic “upstream > downstream midstream”. Gansu Province (0.028), Ningxia Hui Autonomous Region (0.026), Shaanxi (0.024), Shanxi (0.020) rated “poor” urgently need be regulated. core problems are shortage (Gansu, Ningxia), quality deterioration (Shaanxi, Shanxi), fragmentation aquatic space (Shanxi, Shaanxi). findings study provided quantitative tool differentiated governance which could directly support decision-making needs “zoning control precise policy implementation” “Outline Plan Ecological Protection High-quality Development Basin”.

Language: Английский

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Health risk assessment of groundwater nitrogen pollution in Yinchuan plain

Journal of Contaminant Hydrology, Journal Year: 2022, Volume and Issue: 249, P. 104031 - 104031

Published: June 1, 2022

Language: Английский

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Sustainable Development Goal 6 Assessment and Attribution Analysis of Underdeveloped Small Regions Using Integrated Multisource Data

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(15), P. 3885 - 3885

Published: Aug. 5, 2023

Data scarcity is a key factor impacting the current emphasis on individual indicators and distribution of large-scale spatial objects in country-level SDG 6 research. An investigation progress assessments factors influencing implementation cities counties indicates that smaller-scale regions hold greater operational significance for achieving 2030 Agenda Sustainable Development from bottom up; thus, urgent attention should be given to data deficiencies inadequate analyses related impact attribution. This study, conducted National Innovative Demonstration Zone Lincang City, investigates multisource sources such as integrated statistics, survey data, remote sensing analyze status achievement 2015–2020, employs LMDI decomposition model identify influential factors. The assessment results demonstrate composite index increased 0.47 0.61 between 2015 2020. have significant heterogeneity. water resources indexes wealthy countries are high, environment ecology developing comparatively high undeveloped counties. Technological economic advances main positive drivers index, relative contributions technology, economy, structure, population 61.84%, 54.16%, −4.03%, −11.96%, respectively. study shows can compensate lack small-scale regional statistical when quantitative comprehensive multi-indicator evaluations SDGs conducted. And, policies 6.1.1, 6.2.1, 6.3.1 priority with limited funding.

Language: Английский

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Decoupling Agricultural Grey Water Footprint from Economic Growth in the Yellow River Basin

Water, Journal Year: 2024, Volume and Issue: 16(8), P. 1129 - 1129

Published: April 16, 2024

Decoupling agricultural economic growth from water pollution is of great importance to regional sustainable development. It necessary further explore the decoupling state and key driving factors connecting on basis accurate measurement pollution. Accordingly, taking Yellow River Basin (YRB) as research object, this study combined footprint theory, Logarithmic Mean Divisia Index (LMDI) model Tapio (TDM) conduct an in-depth analysis connection between grey (AGWF) in YRB. Specifically, first calculated AGWF YRB during 2016–2021 objectively evaluated resource utilization region based AGWF. Then, LMDI was used Finally, states its with GDP (AGDP) were studied using TDM. The main results are follows: (1) overall showed a decreasing trend slow increase, by 5.39% 2021 compared 2016. (2) primary promoting factor inhibiting reduction efficiency effect effect, respectively. (3) AGDP presented strong (SD) then weak (WD) period. intensity (AGWFI) changed expansive negative (END) SD. population remained This will contribute alleviating help policymakers water-stressed countries formulate management policies.

Language: Английский

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Irrigation Water in the Arid Environment: Current Trends and Future Perspectives

Advances in Science, Technology & Innovation/Advances in science, technology & innovation, Journal Year: 2025, Volume and Issue: unknown, P. 333 - 341

Published: Jan. 1, 2025

Language: Английский

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