Spatial-temporal response of the regional ecological quality to urban settlement development DOI Creative Commons
Shiwen Zhang, Zhiqiang Zeng, Jianjun Tan

et al.

European Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 57(1)

Published: Aug. 12, 2024

Based on the objective evaluation of regional ecological quality (Urban Cluster in Mid-inner Zhejiang) by Remote Sensing based Ecological Index (RSEI), it was proposed to study spatial-temporal response urban built-up areas, impervious surface, land use and "production-living-ecological" space under settlement change quantitatively describe mechanism human activities' influence ecology. The results showed that: (1) From 1985 2020, RSEI Urban Zhejiang above 0.50 as a whole, showing trend first decreasing then increasing with slight decrease some parts. (2) perspective dominated level 2–3, gradually changing from 3 2. (3) accounting for more than 75.00% total area. (4) use, cropland, forestland, water construction were mainly 2–4, 3–4, 3–4 2–3. (5) space, production living 3, can deepen understanding impact development quality, avoid unbalanced situation blindly pursuing socio-economic while ignoring environment, which scientifically helps sustainable high-quality Zhejiang.

Language: Английский

Spatial–Temporal Analysis of Coupling Coordination Between New Urbanization and Ecological Environment in Ya’an, China DOI Creative Commons
Wei Wei,

Xiao Lei,

Xiaohong Zhang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 65 - 65

Published: Jan. 1, 2025

Against the backdrop of rapid urbanization, associated environmental problems, including low resource consumption, severe pollution emissions, and awareness, have become salient. The key to achieving sustainable development in Ya’an lies accelerating new urbanization while ensuring preservation existing ecological advantages. Firstly, this study constructs evaluation index systems for environment using Population–Economic–Spatial–Social (PESS) Pressure–State–Response (PSR) models, respectively. Then, entropy weight model is used calculate weights each secondary indicator systems. coupling coordination degree (CCD) relative (RDD) models are applied analyze spatial temporal changes from 2011 2021. Finally, autocorrelation geographically weighted regression (GWR) combined factors influencing differences among Ya’an’s districts counties. results indicate following: (1) From 2021, CCD shifted basically balanced highly balanced, RDD lag systematic balanced. (2) varies significantly regions, differentiation effects different has characteristics.

Language: Английский

Citations

3

Analysis of the coordinated development and influencing factors between urban population and environment: A case study of 35 metropolises in China DOI

Yuyuan Tan,

Yi Zhou, Hao Zhou

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106160 - 106160

Published: Jan. 1, 2025

Language: Английский

Citations

1

Harmonizing new-type urbanization and eco-efficiency: spatial–temporal coupling coordination in the Yangtze River Economic Belt DOI
Yifei Wang, Hanwei Liang, Liang Dong

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Language: Английский

Citations

1

Coupling Coordination Relationship between Urbanization and Water Environment in China DOI
Hang Wan,

Gui-Ping He,

Bowen Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 472, P. 143423 - 143423

Published: Aug. 19, 2024

Language: Английский

Citations

5

Spatio-temporal evolution and multi-subject influencing factors of urban green development efficiency in China: Under the carbon neutral vision constraint DOI Creative Commons
Yujie Wang, Shanshan Li, Xiao Gu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112580 - 112580

Published: Sept. 16, 2024

Language: Английский

Citations

5

Exploration of Eco-Environment and Urbanization Changes Based on Multi-Source Remote Sensing Data—A Case Study of Yangtze River Delta Urban Agglomeration DOI Open Access
Yuhua Li, Shihang Wang

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 5903 - 5903

Published: July 11, 2024

Rapid urbanization inevitably exerts pressure on the surrounding ecological environment, and balancing relationship between environment is crucial for sustainable urban development. Taking Yangtze River Delta agglomeration (YRDUA) as a case study, this paper utilizes MODIS data nighttime light to construct Remote Sensing Ecological Index (MRSEI) Comprehensive Nighttime Light (CNLI) distributions depict quality levels. Based this, Coupled Coordination Degree (CCD) model employed calculate coupling coordination level two, Geodetector used analyze underlying causes affecting CCD. The results indicate following: (1) overall of YRDUA tends be stable, but there are significant differences regions. Areas with deteriorating conditions concentrated in cities higher rates changes. (2) All developing towards coordination, imbalances development among different (3) key factors CCD derived from socioeconomic elements rather than natural elements, interaction GDP DEM having strongest explanatory power (4) CNLI positively correlated CCD, MRSEI negatively decisive factor research findings can provide theoretical guidance promoting

Language: Английский

Citations

4

Rapid urbanization decelerates regional net anthropogenic phosphorus input: Evidence from the Chengdu-Chongqing urban agglomeration in China DOI

Wei Pei,

Junlan Yang,

Lintao Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124171 - 124171

Published: Jan. 19, 2025

Language: Английский

Citations

0

Spatiotemporal Evolution and Optimization of Urbanization–Water Environment Coupling in the Cheng-Yu Region DOI Creative Commons

Binghao Sun,

Xinlan Liang,

Bingchang Li

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 412 - 412

Published: Feb. 16, 2025

With global urbanization on the rise, China has entered mid-to-late stage, and Cheng-Yu region, as a key economic zone new model in China, faced water environmental issues due to rapid urbanization, while systematic research synergy between its environment governance remains scarce. This study explores spatiotemporal evolution of optimization strategies for coupling coordinated development region. A comprehensive evaluation index system was established measure Urbanization Development System (UDS) Water Environment Governance (WEGS), coordination utilized analyze relationships two systems from 2013 2021. The showed steady upward trend 2021, evolving state severe imbalance high-level coordination. Initially, UDS relatively low, WEGS higher but grew at slower rate. After 2019, caused exceed level WEGS, indicating growing pressures. Moreover, there are persistent disparities among cities. Industrial cities like Chengdu, with high low urgently need enhance resource management. In contrast, such Dazhou, which have UDS, should make full use their resources drive sustainable urban development. For policymakers, this provides practical guidelines, suggesting targeted investment treatment facilities industrial Chengdu promoting water-based Dazhou. It emphasizes importance balancing sustainability. findings not only deepen understanding dynamic interactions also lay solid foundation optimizing future policies region other similar areas.

Language: Английский

Citations

0

Assessment of Coupling Synergy Level Between Regional Development and Ecological Environment: A Case Study of Chengdu-Chongqing Dual-City Economic Circle, China DOI Open Access

Yujing Duan,

Yuan Liang, Zhong Wang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1998 - 1998

Published: Feb. 26, 2025

The increasing tensions between urban development and ecological environments in China, as evidenced by the country’s rapidly globalising urbanising society, pose significant challenges to implementation of sustainable strategies. In order evaluate coupled coordination degree (CCD) regional (RD) carrying capacity (ECC) within Chengdu-Chongqing Twin Cities Economic Circle, this study proposes a comprehensive CCD evaluation framework. This framework includes indicator analysis, quantitative measurement coupling coordination, identification types, impacts. results indicate that is on growth trajectory while lags behind. has shifted from state ’basically uncoordinated’ coordinated’, exhibiting decreasing gradient spatial distribution, with core cities demonstrating leadership. thus provides set optimised strategies tailored at different stages development, offering theoretical foundation decision-making for promoting quality Circle.

Language: Английский

Citations

0

Spatiotemporal evolution and prediction of blue–green–grey-space carbon stocks in Henan Province, China DOI Creative Commons
Kai Zhou, Xinyu Wei, Yanjie Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 14, 2025

Changes in blue–green–grey spaces use greatly influenced the carbon-storage capabilities of ecosystems, which is crucial for maintaining carbon balance regional ecosystems.By combining Integrated Valuation Ecosystem Services and Trade-offs (InVEST) model with Patch-generating Land Use Simulation (PLUS) model, this study evaluates spatiotemporal evolution spatial stocks Henan Province, China, predicts relationship between changes under four future scenarios. This total amount decreased by 39.75 × 10 6 Mg from 2000 to 2020. The pattern distribution characterised ‘higher west lower east’. urbanisation process Province has been accelerating, area grey space increased rapidly, resulting a substantial decline storage. Grey-space development will be severely constrained ecological protection (EP) scenario 2050, where grey-space decrease 33.15% compared that Under cultivated-land (CLP) scenario, growth green increase considerably storage reach highest level. paper offers solid scientific foundation promoting low-carbon as well optimising arrangement China.

Language: Английский

Citations

0