Remote Sensing Evaluation and Monitoring of Spatial and Temporal Changes in Ecological Environmental Quality in Coal Mining-Intensive Cities DOI Creative Commons

Qiqi Huo,

Xiaoqian Cheng,

Weibing Du

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(19), С. 8814 - 8814

Опубликована: Сен. 30, 2024

In coal-dependent urban economies, the dichotomy between resource exploitation and ecological conservation presents a pronounced challenge. Traditional remote sensing assessments often overlook interplay mining activities environmental dynamics. To address this gap, researchers developed an innovative Resource-Based City Ecological Index (RCEI), anchored in Pressure–State–Response (PSR) framework synthesized from six discrete indicators. Utilizing geodetic data, RCEI facilitated comprehensive spatiotemporal analysis of Jincheng City’s quality 1990 to 2022. The findings corroborated RCEI’s efficacy providing nuanced portrayal state within regions. (1) predominantly sustained mudhopper-tier status, exhibiting overarching trend amelioration throughout study period. (2) Disparities landscape were at county level, with Moran’s exceeding 0.9, signifying clustered pattern. High–high (H–H) zones prevalent areas elevated altitude dense vegetation, whereas low–low (L–L) sectors. (3) Further, buffer zone two coal mines, differing their chronology, geographical positioning, operational elucidated impact exerted over 32-year trajectory. These insights furnish robust scientific technical foundation for resource-centric cities fortify safeguarding advance sustainable development stratagems.

Язык: Английский

Impact assessment of planned and unplanned urbanization on land surface temperature in Afghanistan using machine learning algorithms: a path toward sustainability DOI Creative Commons
Sajid Ullah,

Xiuchen Qiao,

Aqil Tariq

и другие.

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

Опубликована: Янв. 24, 2025

The increasing trend in land surface temperature (LST) and the formation of urban heat islands (UHIs) has emerged as a persistent challenge for planners decision-makers. current research was carried out to study use cover (LULC) changes associated LST patterns planned city (Kabul) unplanned (Jalalabad), Afghanistan, using Support Vector Machine (SVM) Landsat data from 1998 2018. Future LULC were predicted 2028 2038 Cellular Automata-Markov (CA-Markov) Artificial Neural Network (ANN) models. results clearly emphasize different between Kabul Jalalabad. Between 2018, built-up areas Jalalabad increased by 16% 30%, respectively, while bare soil vegetation decreased 15% 1% 4% 30% showed highest seasonal annual LST, followed vegetation. maximum occurred during summer both cities predictions that (48% 55% 2018) will increase approximately 59% 68% 79% Jalalabad, respectively. Similarly, simulations percentage with higher (> 35°C) would (0% 5% 22% 43% 2038, Kabul's shows lower than Jalalabad's city, primarily due urbanization greater center. Urban should limit development reduce potential impacts high temperatures.

Язык: Английский

Процитировано

11
Ecological security prediction and land use conflict identification in fragile mountain cities: a case study of Longnan, China DOI
Jun Zhang, Qingyu Guan, Yuxin Shan

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145146 - 145146

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
An Improved YOLOv8-Based Lightweight Attention Mechanism for Cross-Scale Feature Fusion DOI Creative Commons

Shaodong Liu,

Faming Shao,

Weijun Chu

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(6), С. 1044 - 1044

Опубликована: Март 16, 2025

This paper addresses the challenge of small object detection in remote sensing image recognition by proposing an improved YOLOv8-based lightweight attention cross-scale feature fusion model named LACF-YOLO. Prior to backbone network outputting maps, this introduces a module, Triplet Attention, and replaces Concatenation with Fusion (C2f) more convenient higher-performing dilated inverted convolution layer acquire richer contextual information during extraction phase. Additionally, it employs convolutional blocks composed partial pointwise as main body integrate from different levels. The also utilizes faster-converging Focal EIOU loss function enhance accuracy efficiency. Experimental results on DOTA VisDrone2019 datasets demonstrate effectiveness model. Compared original YOLOv8 model, LACF-YOLO achieves 2.9% increase mAP 4.6% mAPS dataset 3.5% 3.8% dataset, 34.9% reduction number parameters 26.2% decrease floating-point operations. exhibits superior performance aerial detection.

Язык: Английский

Процитировано

0
The Impacts of Urban Population Growth and Shrinkage on the Urban Land Use Efficiency: A Case Study of the Northeastern Region of China DOI Creative Commons

Haoyang Kang,

Meichen Fu,

Haoran Kang

и другие.

Land, Год журнала: 2024, Номер 13(9), С. 1532 - 1532

Опубликована: Сен. 21, 2024

In the context of rapid urbanization, urban population differentiation has become increasingly pronounced. Regional development strategies based on growth scenarios often lead to continuous expansion, regardless status. Such “one-size-fits-all” models exacerbate resource waste and negatively impact land use efficiency (ULUE). This study aims explore mechanisms by which shrinkage (UPGS) affect ULUE, with goal enhancing ULUE promoting sustainable development. We analyzed 34 prefecture-level cities in China’s three northeastern provinces. First, we identified UPGS using data. then employed a three-stage SBM-DEA model measure from 2000 2020. Spatial analysis methods were used examine spatiotemporal characteristics correlations between ULUE. Additionally, mediating effect spatial Durbin utilized empirically test processes, mechanisms, heterogeneity. Our findings reveal that: (1) Over past 20 years, China intensified, significant regional disparities are evident. (2) Population positively influences while inhibits its improvement. (3) Economic development, technological innovation, industrial structure upgrading key factors this region, public services varies significantly at different stages (4) exhibit spillover effects, whereas constrained limitations, resulting minimal effects. To foster coordinated proposes policy recommendations, including strengthening support for resource-dependent cities, optimizing allocation resources, innovation diversification.

Язык: Английский

Процитировано

3
Urban ecosystem services, ecological security patterns and ecological resilience in coastal cities: The impact of land reclamation in Macao SAR DOI
Long Zhou,

Yu Qin,

Jialin Cheng

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123750 - 123750

Опубликована: Дек. 20, 2024

Язык: Английский

Процитировано

3
A framework of ecological security patterns in arid and semi-arid regions considering differences socioeconomic scenarios in ecological risk: Case of Loess Plateau, China DOI
Jinjun Guo, Pengfei Feng, Xue Han

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123923 - 123923

Опубликована: Дек. 29, 2024

Язык: Английский

Процитировано

3
Remote Sensing Evaluation and Monitoring of Spatial and Temporal Changes in Ecological Environmental Quality in Coal Mining-Intensive Cities DOI Creative Commons

Qiqi Huo,

Xiaoqian Cheng,

Weibing Du

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(19), С. 8814 - 8814

Опубликована: Сен. 30, 2024

In coal-dependent urban economies, the dichotomy between resource exploitation and ecological conservation presents a pronounced challenge. Traditional remote sensing assessments often overlook interplay mining activities environmental dynamics. To address this gap, researchers developed an innovative Resource-Based City Ecological Index (RCEI), anchored in Pressure–State–Response (PSR) framework synthesized from six discrete indicators. Utilizing geodetic data, RCEI facilitated comprehensive spatiotemporal analysis of Jincheng City’s quality 1990 to 2022. The findings corroborated RCEI’s efficacy providing nuanced portrayal state within regions. (1) predominantly sustained mudhopper-tier status, exhibiting overarching trend amelioration throughout study period. (2) Disparities landscape were at county level, with Moran’s exceeding 0.9, signifying clustered pattern. High–high (H–H) zones prevalent areas elevated altitude dense vegetation, whereas low–low (L–L) sectors. (3) Further, buffer zone two coal mines, differing their chronology, geographical positioning, operational elucidated impact exerted over 32-year trajectory. These insights furnish robust scientific technical foundation for resource-centric cities fortify safeguarding advance sustainable development stratagems.

Язык: Английский

Процитировано

1