Evaluation of water resource carrying potential and barrier factors in Gansu Province based on game theory combined weighting and improved TOPSIS model

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112438 - 112438

Published: Aug. 9, 2024

Language: Английский

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Evaluation and analysis of spatio-temporal variation of water resources carrying capacity and restraining factor: a case study in Anhui Province, China

Mitigation and Adaptation Strategies for Global Change, Journal Year: 2024, Volume and Issue: 29(5)

Published: June 1, 2024

Language: Английский

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Evaluation of water resources security in Anhui Province based on GA-BP model

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(20), P. 29246 - 29263

Published: April 4, 2024

Language: Английский

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Evaluating urban water ecological carrying capacity and obstacles to its achievement using an integrated DPSIR-based approach: A case study of 16 cities in Hubei Province, China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177430 - 177430

Published: Nov. 13, 2024

Language: Английский

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Determination on the Financial Performance of Construction Companies Using TOPSIS Model

Published: Jan. 28, 2024

Evaluation of financial performance is crucial for the construction sector since companies from field greatly contribute to development and economy a country. Financial analysis can be utilized understand status companies. ratios are key equations that sort through numbers get clearer look at how well business operating. The performances Malaysia's listed assessed by using proposed TOPSIS model. outcomes this research study display top five performing KERJAYA, SUNCON, AME, GAMUDA, FAJAR. These well-performing able serve as reference benchmark those with lower their continuous improvement. This show its significance in evaluating companies' determining position ranking. beneficial not only company itself future improvement, but also policy maker, stakeholder, investor during decision making process.

Language: Английский

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Evaluation of the support capability of the launch power system propellant based on G1-EW two-dimensional cloud model

Advances in Complex Systems, Journal Year: 2024, Volume and Issue: 15(03)

Published: June 1, 2024

Due to technical limitations and the characteristics of launch power system propellant, its support capability is affected by many factors links. In process mission support, it necessary consider both quality safety during process, which bring difficulties accuracy evaluation. this regard, evaluation indexes constructed according requirements total management theory, theory equipment characteristics. setting system, technique for order preference similarity an ideal solution method (TOPSIS method) used screen make more scientific. The subjective weights obtained relation analysis (G1 objective entropy weight (EW are combined game combination weighting obtain weights, reduce error calculation. two-dimensional cloud model evaluate propellant from two dimensions capability, can reflect comprehensively accurately. Through example verification, closeness grades ‘excellent’, ‘good’, ‘average’, ‘poor’ ‘very poor’ calculated be 0.2333, 5.1169, 0.3579, 0.1821 0.1041, respectively, indicating that results closer good. Finally, compared with existing one-dimensional method, superiority research highlighted, has a certain guiding role in improving capability.

Language: Английский

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Evaluation of Water Resources Carrying Capacity in Gansu Province Based on Game Theory-Improved Topsis Model

Published: Jan. 1, 2024

The water resource carrying capacity, as a pivotal component of the overall regional natural plays fundamental role in determining feasibility achieving harmonious coexistence among population, economy, and environment regions with limited resources. It holds paramount significance for development."Based on theoretical framework four subsystems, namely resources, society, ecology, this article employs entropy weight method CRITIC to calculate individual weights. combined weights are then determined using game theory. Subsequently, an improved TOPSIS model based grey relational analysis is applied comprehensively evaluate resources capacity Gansu Province from 2009 2022. main obstacles impacting diagnosed obstacle degree model. Finally, time series utilized predict future trends 2023 2030. findings suggest that (1)over study period, exhibited upward trend its value 0.55 (weakly bearable) 2022, representing significant 20% increase compared baseline year 2009. (2)In terms changes, before 2015, Wuwei, Linxia, Dingxi, other places were weakly bearable range [ 0.5,0.6), while cities prefectures critical state 0.4,0.5). After most has improved, especially Jiuquan, Jiayuguan, places, which may be related local government's efforts management water-saving measures. (3)The key factors influencing include ecological consumption, industrial wastewater emissions chemical oxygen demand (COD), urban sewage treatment effective irrigation area agricultural land, consumption rate, per capita daily areas. To promote sustainable utilization it crucial strengthen regulation these major hindering factors. (4)The various states expected witness improvement. By 2030, anticipated all provinces within will reach [0.6,1], thereby progressing towards green trajectory.

Language: Английский

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Assessment and early warning of water resources carrying capacity in Dongting Lake Ecological Economic Zone

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 31, 2024

Assessment of water resource carrying capacity is a useful tool for measuring the degree realization and environmental planning. Scientific monitoring evaluation basic requirement building ecological civilization implementing development concept "green green mountains are golden silver mountains". Taking 26 county units in Dongting Lake Ecological Economic Zone Hunan Province as object, 22 indicators were selected, comprehensive weight method subjective objective combination hierarchical entropy weighted summation scoring used to calculate values "county units" during 25-year research period 1997–2021. The results analyzed using gray correlation Ridge regression modeling. After processing input data each layer based on index system, BP neural network training was conducted obtain prediction model future trend analysis. show that: (1) In terms time trend, study area generally stable, between overload critical. change changed greatly among districts counties; (2) spatial distribution, there differences economic zone: around western counties central South higher than northern Yueyang urban area; (3) Among four criteria layers, resources supporting highest, with smallest change, had largest change. decline most relatively rapid development; (4) It predicted that Nanxian, Hanshou, Xiangyin would significantly increase 2025, shifting from critical state, maintaining this coming years; (5) Dingcheng District Changde City gradually transform overload, maintain years. To sum up, key improve prevent pollution, optimize allocation utilization efficiency. recommended our government should continue strengthen awareness environment protection governance measures, regularly conduct performance accuracy governance. Based long-term objectives, we formulate measures protect Lake, promote construction new urbanization, develop industries such agriculture, industry, tourism according local conditions.

Language: Английский

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Spatial and Temporal Divergence of Water Resource Carrying Capacity in Hubei Province, China, from the Perspective of Three Major Urban Agglomerations

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5059 - 5059

Published: June 14, 2024

Water resource carrying capacity is indispensable for sustainable development, acting as a crucial determinant harmonizing ecological preservation with socio-economic development. This study centers on Hubei Province, which an important water conservation area in the Yangtze River Basin and one of core source areas South-to-North Diversion Project, evaluates three major urban agglomerations Province from 2005 to 2020 based four dimensions resources, economics, society, ecology, using entropy weighting method TOPSIS model construct evaluation index system. We then employ kernel density estimation method, ArcGIS visualization, Dagum Gini coefficient perform comprehensive analysis spatial temporal differences, dynamic evolution, contribution sources. The results show that (1) whole increased severe overload level during period. shows regional distribution pattern where Yi-Jing-Jing-En agglomeration’s surpasses Wuhan agglomeration, bigger than Xiang-Shi-Sui-Shen agglomeration. A lower use rate primarily constrains enhancement resources Province. (2) reveals increase overall across Province’s period, alongside pronounced trend towards polarization. (3) While coefficient, indicating imbalance remains high, it demonstrates declining trend, suggesting growing disparity province’s agglomerations. faces challenges localized vulnerability. Strategies should aim enhance synergy, address these deficiencies directly, devise targeted measures tailored distinct features various clusters.

Language: Английский

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Research on the carrying capacity of production, living and ecological space and its coupling coordination in Duolun County, Inner Mongolia

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0309615 - e0309615

Published: Dec. 31, 2024

To offer a foundational science for the land spatial planning of Beijing Tianjin sandstorm source area, remote sensing images Duolun County in Inner Mongolia from 2000 to 2020 were used obtain information production, living and ecological space(PLES). In order construct index system carrying capacity PLES, 24 indicators chosen perspectives space, production space. AHP method, TOPSIS Model with entropy combination weight, coupling coordination model obstacle degree are analyze scheduling PLES capacity. The findings exhibited that (1) distribution area space decreased, while increased slightly; (2) showed weak growth trend, downward trend; (3) between two spaces show slow (4) has increased, is decreasing. Livestock most important restricting scale construction greatest desertification soil organic matter comprehensive PLES.

Language: Английский

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