Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining DOI Creative Commons
Pranav Dev Singh, Paweł Hawryło, Anna Klamerus‐Iwan

и другие.

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102751 - 102751

Опубликована: Июль 30, 2024

Post-industrial areas, such as heaps, are an Anthropocene pressure on the environment but show natural potential for new ecosystem services, i.e., water retention, biodiversity, and C-sequestration. All these functions of sites can be developed only in case appropriate reclamation treatments, which especially difficult under conditions carboniferous spoil heaps after coal deep mining. The study effects has been increasingly supported recent years by modern remote sensing techniques. This paper presents possibilities using selected data topographic indices their effect volumetric content, is crucial habitat development. PlanetScope satellite imagery airborne laser scanning point clouds were used to estimate content (VWC) soil. integrated analysis allows more accurate spatial modeling soil moisture, a key indicator ecological restoration degraded land. method generalized additive models was develop predictive model. model characterized following values accuracy evaluation parameters: MAE – 4.1%; RMSE 5.6%; R2–0.49. As result analysis, spectral variables with significant influence VWC identified, map retention capacity Sosnica heap developed.

Язык: Английский

Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning DOI Creative Commons
Ming Lei, Yuandong Wang, Guangxu Liu

и другие.

Ecological Informatics, Год журнала: 2024, Номер 84, С. 102887 - 102887

Опубликована: Ноя. 9, 2024

Язык: Английский

Процитировано

8
Increasing Landslide Susceptibility in Urbanized Areas of Petrópolis Identified Through Spatio-Temporal Analysis DOI
Cheila Flávia de Praga Baião, José Roberto Mantovani, Enner Alcântara

и другие.

Journal of South American Earth Sciences, Год журнала: 2025, Номер unknown, С. 105509 - 105509

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Integrated optimization of border ecosystem services and risks: A multiscale exploration considering the past and future DOI
Pengcheng Wang,

Rucheng Lu,

Tongsheng Fan

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 115, С. 107986 - 107986

Опубликована: Май 21, 2025

Язык: Английский

Процитировано

0
Evaluating land-cover change and land subsidence in coal fire zones: Insights from multi-source monitoring DOI Creative Commons

Desheng Xie,

Fantao Zeng,

Baozhu Liu

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(5), С. e0322284 - e0322284

Опубликована: Май 28, 2025

Coal fires are a significant environmental and geological threat, causing extensive ecological damage loss of resources. Existing monitoring methods, though effective, have limitations in terms precision adaptability. This study integrates multiple techniques, including remote sensing, thermal infrared imaging, UAV based surveys, field investigations, to assess the consequences coal fires. The results indicate that: 1) Vegetation cover affected regions decreased from 0.43 0.38 between 2017 2024, with Fire Zone 1 showing minimal recovery 3 exhibiting moderate improvement, overall low vegetation area expanded due ongoing fires; 2) Remote Sensing Ecological Index (RSEI) declined 0.41 0.38, poor-rated areas increasing significantly, particularly 3, reflecting degradation conditions caused by both fire activity climate factors; 3) Flat Spectral Shape (FSSI) showed stability, but fluctuations high probability exposed coal, especially pointed expanding footprint worsening degradation; 4) Surface subsidence varied considerably, experiencing most severe subsidence, indicating unstable exacerbated activity. underscores importance continuous effective disaster risk management strategies. Despite localized improvements soil potassium levels, declines nutrients moisture content. research contributes development more strategies for managing impacts supporting restoration efforts regions.

Язык: Английский

Процитировано

0
Ecological and Geological Environment Risk Assessment of Wangwa Mining Area Based on DInSAR Technology DOI Creative Commons
Guorui Wang, Liya Yang, Peixian Li

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(14), С. 6329 - 6329

Опубликована: Июль 20, 2024

Mining activities in coal mining areas have exacerbated ecological and geological environmental risks. To explore the impact of mineral resources on environment risk (EGER) areas, we developed a novel assessment framework. This framework first quantifies surface using remote sensing interpretation Differential Interferometric Synthetic Aperture Radar (DInSAR) technology. Then, this selected six indicators, including subsidence, occupation damage, FVC, RSEI, precipitation, temperatures. The weights evaluation indicators were calculated coupled weighting model combining Analytic Hierarchy Process (AHP) Entropy Method (EM). approach was applied to Wangwa area assess its results show that subsidence increase year by year. EGER study medium change rate index from 2017 2022 −0.460 0.598. increased southwest but reduced pre-investigation north investigation area. can support decision-making reduce adverse activities.

Язык: Английский

Процитировано

1
Effects of Soil Nutrient Restoration Aging and Vegetation Recovery in Open Dumps of Cold and Arid Regions in Xinjiang, China DOI Creative Commons

Zhongming Wu,

Weidong Zhu,

Haijun Guo

и другие.

Land, Год журнала: 2024, Номер 13(10), С. 1690 - 1690

Опубликована: Окт. 16, 2024

Open-pit coal mining inevitably damages the soil and vegetation in areas. Currently, restoration of cold arid open-pit mines Xinjiang, China, is still initial exploratory stage, especially changes nutrients spoil dumps over time. Dynamic remote sensing monitoring areas their correlation are relatively rare. Using Heishan Open Pit as a case, samples were collected during different discharge periods to analyze uncover mechanisms. Based on four Landsat images from 2018 2023, ecological index (RSEI) fractional cover (FVC) obtained evaluate effect mine restoration. Additionally, between was analyzed. The results indicated that (i) contents nitrogen (N), phosphorus (P), potassium (K), organic matter (OM) increased with duration period. (ii) When time dump exceeds 5 years, N, P, K, OM content higher than original surface-covered area. (iii) Notably, under same aging, artificial demonstration base had significantly these compared naturally restored dump. (iv) Over past five RSEI FVC showed an overall upward trend. slope remediation project values (v) Air humidity surface temperature identified key natural factors affecting open pit. coefficients nutrient coverage 0.78, indicating close complementary relationship two. above can clarify time–effect recovery further promoting research practice technology pits.

Язык: Английский

Процитировано

1
Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining DOI Creative Commons
Pranav Dev Singh, Paweł Hawryło, Anna Klamerus‐Iwan

и другие.

Ecological Informatics, Год журнала: 2024, Номер 82, С. 102751 - 102751

Опубликована: Июль 30, 2024

Post-industrial areas, such as heaps, are an Anthropocene pressure on the environment but show natural potential for new ecosystem services, i.e., water retention, biodiversity, and C-sequestration. All these functions of sites can be developed only in case appropriate reclamation treatments, which especially difficult under conditions carboniferous spoil heaps after coal deep mining. The study effects has been increasingly supported recent years by modern remote sensing techniques. This paper presents possibilities using selected data topographic indices their effect volumetric content, is crucial habitat development. PlanetScope satellite imagery airborne laser scanning point clouds were used to estimate content (VWC) soil. integrated analysis allows more accurate spatial modeling soil moisture, a key indicator ecological restoration degraded land. method generalized additive models was develop predictive model. model characterized following values accuracy evaluation parameters: MAE – 4.1%; RMSE 5.6%; R2–0.49. As result analysis, spectral variables with significant influence VWC identified, map retention capacity Sosnica heap developed.

Язык: Английский

Процитировано

0