Environmental impacts of coal mining and mitigation measures: a review

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(5)

Published: April 12, 2025

Language: Английский

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Response of soil quality to ecosystems after revegetation in a coal mine reclamation area

CATENA, Journal Year: 2025, Volume and Issue: 257, P. 109038 - 109038

Published: May 19, 2025

Language: Английский

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Analysis on Spatiotemporal Variation in Soil Drought and Its Influencing Factors in Hebei Province from 2001 to 2020

Agriculture, Journal Year: 2025, Volume and Issue: 15(10), P. 1109 - 1109

Published: May 21, 2025

As a dominant ecological stress factor of climate change, soil drought has become key challenge restricting food security. Based on moisture data, this paper uses the cumulative anomaly method, coefficient variation, Sen + Mann–Kendall trend analysis, and center gravity shift model to study spatiotemporal changes in Hebei Province from 2001 2020 optimal parameter geographic detector analyze factors affecting drought. The results show following: (1) over past 20 years, shown “first intensifying then easing”, experiencing two turning points, its spatial distribution showed significant agglomeration characteristics. (2) Soil single-peak seasonal fluctuation, with severe January May, peak June August, balance September October, deficit intensified winter. (3) stability differentiation, being high northeast low southwest. about 70% region improved, drought-prone areas moved (4) NDVI altitude are main drivers multi-factor interaction shows nonlinear enhancement effect. Among them, thresholds such as > 0.512 −32~16 m have inhibitory effect This can make contribution improving water resource management increasing agricultural productivity region.

Language: Английский

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Mapping surface soil organic carbon in the coal–grain composite area: threshold and interaction effects of coal mining activities

Environmental Sciences Europe, Journal Year: 2025, Volume and Issue: 37(1)

Published: March 26, 2025

Language: Английский

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

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1690 - 1690

Published: Oct. 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.

Language: Английский

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Mapping surface soil organic carbon density of cultivated land using machine learning in Zhengzhou

Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 47(1)

Published: Nov. 28, 2024

Research on soil organic carbon (SOC) is crucial for improving sinks and achieving the "double-carbon" goal. This study introduces ten auxiliary variables based data from a 2021 land quality survey in Zhengzhou multi-objective regional geochemical survey. It uses geostatistical ordinary kriging (OK) interpolation, as well classical machine learning (ML) models, including random forest (RF) support vector (SVM), to map density (SOCD) topsoil layer (0 − 20 cm) of cultivated land. partitions sampling assess generalization capability with Zhongmu County designated an independent test set (dataset2) remaining training (dataset1). The three models are trained using dataset1, directly applied dataset2 evaluate compare their performance. distribution SOCD SOCS soils various types textures analyzed optimal interpolation method. results indicated that: (1) average SOC densities predicted by OK RF, SVM 3.70, 3.74, 3.63 kg/m2, precisions (R2) 0.34, 0.60, 0.81, respectively. (2) ML achieves significantly higher predictive precision than traditional interpolation. RF model's 0.21 model more precise estimating stock. (3) When dataset2, exhibited superior capabilities (R2 = 0.52, MSE 0.32) over 0.32, 0.45). (4) spatial surface area exhibits decreasing gradient west east south north. total stock estimated at approximately 10.76 × 106t. (5) integration attribute variables, climatic remote sensing data, techniques holds significant promise high-precision high-quality mapping agricultural soils.

Language: Английский

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Unveiling the spatiotemporal heterogeneity and driving mechanisms of carbon storage changes in response to land use/land cover changes under different future scenarios: Insights from the GMOP-SEM model

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144622 - 144622

Published: Dec. 1, 2024

Language: Английский

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Estimating and Mapping the Soil Organic Carbon Content in Crop Fields Using Uav, Gf1/2/7, Zy1-02d and Sentinel-2 Imagery

Published: Jan. 1, 2024

Language: Английский

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