The Diurnal Variation and Development Status of Ecoenvironmental Quality in Hainan, China DOI Creative Commons
Yao Shen, Jingan Wu, Liupeng Lin

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 9110 - 9121

Published: Jan. 1, 2024

According to the Sustainable Development Goals, eco-environmental quality (EEQ) assessment has become a key issue in response global climate change. As national pilot zone for ecological conservation and free trade with tropical coastal China, Hainan is expected present distinctive patterns eco-environment evolution. In this paper, multi-source remote sensing observations, we generated long-term index interpret spatiotemporal mechanisms diurnal seasonal eco-environment, detect interaction between urbanization evaluate development status of EEQ Hainan. The results showed contrasting evolution cycle, especially dry season. improvement daytime was primarily influenced by greenness, accounting 25% enhancement. On other hand, deterioration nighttime mainly driven heat, explaining 44% decline. Climate factors had more significant impact on compared human activities factors. addition, mutual influence been enhanced. Thus, lead opposite urban area. Our findings imply that if continues, difference may be effective action balance rooted heat control within context development.

Language: Английский

Coupling coordination between the ecological environment and urbanization in the middle reaches of the Yangtze River urban agglomeration DOI
Xinmin Zhang, Houbao Fan, Fei Liu

et al.

Urban Climate, Journal Year: 2023, Volume and Issue: 52, P. 101698 - 101698

Published: Sept. 27, 2023

Language: Английский

Citations

40
Does financial inclusion and renewable energy impede environmental quality: Empirical evidence from BRI countries DOI

Xuesen Cai,

Changjing Wei

Renewable Energy, Journal Year: 2023, Volume and Issue: 209, P. 481 - 490

Published: April 6, 2023

Language: Английский

Citations

32
Identifying the coupling coordination relationship between urbanization and forest ecological security and its impact mechanism: Case study of the Yangtze River Economic Belt, China DOI
Jiayi Zhang, Pan Zhang, Rongfang Wang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 342, P. 118327 - 118327

Published: June 8, 2023

Language: Английский

Citations

32
Assessing the Spatiotemporal Evolution and Drivers of Ecological Environment Quality Using an Enhanced Remote Sensing Ecological Index in Lanzhou City, China DOI Creative Commons

Linghua Duo,

Junqi Wang, Fuqing Zhang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(19), P. 4704 - 4704

Published: Sept. 26, 2023

Lanzhou City is located in the semi-arid region of northwest China, which experiences serious desertification. Moreover, high intensity land development, with accelerated industrialization and urbanization, causes increasingly aggravated conflict between humans environment. Exploring response ecological environment quality to natural anthropogenic activities important protect sustainable development urban economic construction Based on Google Earth Engine (GEE) platform, this paper constructed a modified Remote Sensing Ecological Index (MRSEI) model could reflect by integrating desertification index (DI) into (RSEI) model. This explores spatiotemporal variation environmental from 2000 2020 Lanzhou, analyzes factors affecting terms temperature, precipitation, gross domestic product (GDP), use, night lighting, population. The results showed that mean value MRSEI ranged 0.254 0.400. area undergoing fast growth was northwestern part decrease central part. Various have different degrees influence ecosystem, use having greater impact, GDP population limited impact. Precipitation temperature strong impact when interacting other factors, demonstrating precipitation were also key MRSEI. Overall, climate change implementation restoration projects led an improvement Lanzhou. study provides reference for understanding changes conducive formulating proper protection strategies.

Language: Английский

Citations

23
Multiscale coupled development and linkage response evaluation of China's carbon neutrality and sustainable development capability–A quantitative analysis perspective DOI
Wei Guo,

Ling Lv,

Xuesheng Zhao

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2024, Volume and Issue: 200, P. 114569 - 114569

Published: May 21, 2024

Language: Английский

Citations

6
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
Multidimensional analysis and enhancement strategies for ecological environment quality at the county level under dual carbon goals: a case study of Shaanxi Province, China DOI Creative Commons
Jianfeng Li,

Yongxin Hu,

Jianchun Li

et al.

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

Published: Jan. 20, 2025

With the intensification of global climate change and environmental degradation, goals carbon peaking neutrality have become crucial strategies for promoting sustainable development in various countries. However, most studies on ecological environment quality (EEQ) focus urban areas, with limited attention to county-level analyses, particularly regarding complex interactions between climate, topography, human activities. This study aims address this gap by investigating spatiotemporal evolution multidimensional driving factors EEQ 107 counties Shaanxi Province, China. Using Google Earth Engine (GEE) platform MODIS imagery, along methods such as Remote Sensing Ecological Index (RSEI), Hurst exponent, GeoDetector, analyzed evolutionary characteristics mechanisms EEQ, explored improvement management different types county within framework dual goals. The results indicate that: 1) From 2000 2020, overall Province showed a fluctuating upward trend, improving from moderate level good level, although some experienced slight degradation 2010 2020. 2) spatial distribution displayed “low-high-low-high” gradient north south, indicating superior conditions southern central-northern counties, while northern regions faced significant challenges. 3) future trend is expected be one continuous improvement, must paid ongoing risks highly urbanized areas. 4) differentiation primarily driven influenced synergistic effects multiple factors. For varying levels it essential comprehensively consider factors, implement tailored sequestration enhancement strategies. not only propose targeted approaches reinforce storage but also offer valuable policy guidance, thereby making contribution achieving at level.

Language: Английский

Citations

0
Analysis of the spatial pattern and causes of ecological environmental quality in Myanmar based on the RSEI model and the Geodetector-GCCM method DOI Creative Commons

Shuangfu Shi,

Shuangyun Peng,

Zhiqiang Lin

et al.

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

Published: Feb. 11, 2025

Facing the challenges brought about by global climate change and biodiversity loss, accurately assessing ecological environmental quality (EEQ), its driving factors are crucial for formulating effective strategies protection restoration. However, there remains limited understanding of interactions causal relationships between multiple factors, with existing studies mainly focusing on impact individual EEQ their correlations. This study took Myanmar as research area, employing a Remote Sensing Ecological Index (RSEI) model spatial autocorrelation analysis to quantitatively evaluate distribution characteristics Myanmar’s in 2020 reveal dependence. Furthermore, innovatively integrating Geodetector Geographical Convergent Cross Mapping (GCCM) methods, this systematically analyzed impacts various spatiotemporal differentiation EEQ. The results indicate that: (1) overall was relatively good, but is significant heterogeneity; (2) Local revealed clear clustering pattern Myanmar; (3) identified DEM, slope, Net Primary Productivity (NPP), land use, human footprint dominant influencing EEQ, among these factors; (4) GCCM further verified effects NPP, while temperature, precipitation, use weaker. established technical framework analyzing causes unveiling mechanisms evolution driven natural factors. It enriched human-environment within coupled systems delved into complex system. These insights enhanced our intricate providing valuable references sustainable development Myanmar.

Language: Английский

Citations

0
Spatiotemporal Evolution and Influencing Mechanism of Urbanization and Ecological Environmental Quality between 2000–2020 in Henan Province, China DOI
Xinyu Dong, Kaijian Xu, Wei Li

et al.

Remote Sensing Applications Society and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 101492 - 101492

Published: Feb. 1, 2025

Language: Английский

Citations

0
A health-service-risk framework for evaluating ecological carrying capacity in arid inland river basins: A case study of the Tarim River Basin DOI Creative Commons

Rongqin Yang,

Zhenxia Mu, Zilong Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113427 - 113427

Published: April 1, 2025

Language: Английский

Citations

0