Research on the Coordinated Development of Water Resources-Economy-Ecology Coupling in Shanxi Province based on System Dynamics DOI Creative Commons

Aili Wang,

Shuaitao Liang,

Shunsheng Wang

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 19, 2024

Abstract The interaction between water resources, economy, and ecology significantly influences regional security stability. This study developed an index system for assessing the coupling of in Shanxi Province. Subsequently, a coordination degree model was established to assess analyze levels. Additionally, employed grey correlation analysis investigate impact 21 indicators on system's coordination. A dynamics simulation then constructed forecast various scenarios up 2035. Key findings included: (1) An overall upward trend comprehensive evaluation ecology. (2) Significant developmental disparities among eleven cities Province, with some showing decline 2015. (3) economic subsystem resources–economy–ecology had 34.02% correlation, exerting marginally greater than other subsystems, GDP per capita being most influential indicator. (4) Scenario simulations predict that highest level coordination, reaching 0.94, will be achieved 2035 under 5(pursuing development). offer theoretical backing shaping future trajectory

Язык: Английский

Study on the coupling role and forecasting of energy-economy-environment triple system based on system dynamics approach, taking Inner Mongolia autonomous region as an example DOI Creative Commons
Hongtao Zhu, Yue Zhu, Bo Hu

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 12

Опубликована: Янв. 13, 2025

The sustainable development of Inner Mongolia, particularly the coordinated energy, economy, and environment, plays a crucial role in shaping energy strategies environmental protection policies for both Mongolia China. Based on this, study focuses energy-economy-environment coupling employing system dynamics multi-scenario simulations. findings reveal: (1) overall coordination degree is improving, with energy-environment friendly scenario yielding best results; (2) industrial pollution consumption are significant factors influencing coordination; (3) addressing achieving carbon neutrality long-term challenges Mongolia’s development. Therefore, should optimize its structure, promote high-tech low-carbon industries, improve efficiency, develop renewable strengthen control emission management to achieve across environment.

Язык: Английский

Процитировано

1

Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach DOI
Keyao Yu, Zhigang Li

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113139 - 113139

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

1

Navigating Urban Sustainable Development: Exploring the Impact of Low Carbon Policies on the Urban Ecological Carrying Capacity DOI
Hao Zhu, Songyu Jiang

Journal of Cleaner Production, Год журнала: 2024, Номер 469, С. 143162 - 143162

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

6

Impacts of Extreme Climate on the Water Resource System in Sichuan Province DOI Open Access

Ma Fang,

Zhi Jun Li

Water, Год журнала: 2024, Номер 16(9), С. 1217 - 1217

Опубликована: Апрель 24, 2024

Based on the data of Sichuan Province from 2007 to 2021, extreme climate events in was identified by statistical method, and coupling coordination degree water resources-climate system separate resource analyzed. difference under these two systems, influence mechanism factors is The results show that types gradually transition drought precipitation low temperature high temperature. When are not considered, generally improved distribution more concentrated. Moreover, a simple linear relationship.

Язык: Английский

Процитировано

4

Coupling coordination development of water resources-economy-ecology system in Shanxi Province based on system dynamics DOI Creative Commons

Aili Wang,

Shuaitao Liang,

Shunsheng Wang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 2, 2025

The interaction between water resources, economy, and ecology significantly influences regional security stability. This study developed an index system for assessing the coupling of in Shanxi Province. Subsequently, a coordination degree model was established to assess analyze levels. Additionally, employed grey correlation analysis investigate impact 21 indicators on system's coordination. A dynamics simulation then constructed forecast various scenarios up 2035. Key findings included: (1) An overall upward trend comprehensive evaluation ecology. (2) Significant developmental disparities among eleven cities Province, with some showing decline 2015. (3) economic subsystem resources–economy–ecology had 34.02% correlation, exerting marginally greater than other subsystems, GDP per capita being most influential indicator. (4) Scenario simulations predict that highest level coordination, reaching 0.94, will be achieved 2035 under 5(pursuing development). elucidates interrelationship ecosystem proposes programme adjusting support future sustainable development region.

Язык: Английский

Процитировано

0

Unleashing the power of Energy Saving and Emission Reduction Fiscal Policy: Balancing urban ecological resilience and efficiency DOI
Zixuan Yang,

Huang Yu

Energy, Год журнала: 2025, Номер unknown, С. 136478 - 136478

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Multi-functional coupling-based rural ecological pattern construction and network prioritization evaluation: A case study of Jiangning District, Nanjing DOI Creative Commons

Qing-Hai Zhang,

Jia-Bei Wang

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112277 - 112277

Опубликована: Июль 1, 2024

Multi-functional coupling evaluation of land use is the basis rural coordination and allocation, it key to determine inherent function combination pattern urban dynamic trade-offs between functions, which great theoretical practical significance, but a set feasible methodology has not been constructed for long time. In this study, we functional classification system ecological-production-living space (PLES), systematically integrated accounting groups spatial values, optimize ecological sources (ESs) form an in line with human settlement environment. The topologized network extracted by using linkage mapper, priority evaluated combining sDNA plug-in. results study demonstrate that:1) Four types patches, namely, low coupling, antagonistic, friction, coordinated areas 497.03, 93.38, 434.91, 287.61 km2, respectively, were identified, provided survival PLES selection source sites. 2) comprehensive yielded 20 sites 11.05 % total area. overall ESs "more at edge less center". Compared based on dPC minimum area threshold, surface more adaptable development needs under multiple scenarios. Ecological corridors (ECs) are 46 number, length 426.13 km, evenly distributed region. construction ECs rivers habitat characteristics Jiangnan water towns, conducive symbiosis blue-green space. 3) corridor evaluates 7 preferred corridors, structural optimization perspective, provides effective path low-impact exploitation rapid areas. 4) A multi-level composite "one belt, three wedges" was integrated. This multi-functional coupled refined system. It explored context multi-river hilly habitats Jiangnan, had some innovations technical methods links such as prioritization evaluation. Overall, created replicable security same type

Язык: Английский

Процитировано

3

Modeling and Evaluating the Socio-Economic–Flood Safety–Ecological System of Landong Floodplain Using System Dynamics and the Weighted Coupling Coordination Degree Model DOI Open Access
Ming Li, Chaojie Niu, Xiang Li

и другие.

Water, Год журнала: 2024, Номер 16(17), С. 2366 - 2366

Опубликована: Авг. 23, 2024

The lower course of the Yellow River is a “hanging river” across hinterland China, and safety its flood control measures/systems closely tied to stability nation. Ensuring high-quality, sustainable development floodplain while maintaining crucial for entire Basin. Previous studies have primarily focused on overall Basin or economic–ecological coupling cities along river, often neglecting floodplain. This study optimizes socio-economic–flood-safety–ecological (SFE) system typical downstream Landong within dynamics model (SDM) can simulate dynamic behavior SFE systems by constructing mathematical models that incorporate feedback loops time delays. primary components include causal loop modules stock-flow modules. Then, coordination degree established using comprehensive subjective objective weighting method, assessing system’s under five scenarios: inertial development, economic environmental protection, safety, development. results historical validity tests indicate SDM effectively system. suggest increases most scenario, indicating should not only focus socio-economic growth, but also consider ecological concerns. In addition, regulation from socio-economic, environment indicators are necessary achieve coordinated has significant implications policy formulation management high-quality in River.

Язык: Английский

Процитировано

3

Quantifying the sustainability of human and natural systems: A novel perspective on conjugate mechanisms DOI
Qian Gao, Danling Tang, Haimeng Liu

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 112, С. 107792 - 107792

Опубликована: Дек. 30, 2024

Язык: Английский

Процитировано

2

Towards Sustainability: Cultural-Ecological-Economic Systems Coupling in the Yellow River Basin Based on Service-Dominant Logic DOI Creative Commons
Zhicai Wu, Jianwu Qi,

Jialiang Xie

и другие.

Land, Год журнала: 2024, Номер 13(8), С. 1149 - 1149

Опубликована: Июль 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.

Язык: Английский

Процитировано

1