Spatiotemporal variation of vegetation cover in mining areas of Dexing City, China

Yu, Haoxuan; Zahidi, Izni; Liang, Dongfang

doi:10.1016/j.envres.2023.115634

Cited by 14 publications

(8 citation statements)

References 36 publications

(38 reference statements)

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“…Theoretically, NDVI soil and NDVI veg should be close to 0 and 1, respectively, but the values would change with time and regions and were not fixed in fact. NDVI soil and NDVI veg were always determined by the confidence level and respectively corresponded to the value at lower and upper 5% based on the cumulative distribution of NDVI [ 13 ].…”

Section: Methodsmentioning

confidence: 99%

“…For example, Yang et al [ 14 ] detected and mapped the vegetation disturbance and recovery for each year according to the Normalized Difference Vegetation Index( NDVI ) of Landsat. Yu et al [ 13 ] studied spatiotemporal variation of vegetation cover of mining areas from 2005 to 2020 in Dexing city and found that it was stable possibly due to actively planting vegetation and land reclamation. Zhang et al [ 16 ] used FVC to analyze the vegetation change and restoration degree in the mining area, especially that around the dumps with Landsat data.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal change characteristics of vegetation coverage in Shangwan Mine of China’s Shendong Mining Area

Song,

Fang,

Zhang

et al. 2024

PLoS ONE

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The coal mining might cause the disturbance to the vegetation and the disturbance impacts might exist the differences for different areas, and few literatures compared and analyzed different disturbed areas based on the location of the mining face, and paid attention to the post mining self-healing effects of vegetation. Here, this paper selected the GaoFen multispectral images during 2017–2021 to study different areas of Shangwan Mine which includes the old mining area more than 5 years after mining, the new working face underground mined in 2018 and 2019, the natural growth control area and the open-pit mining affected area. The spatiotemporal changes of the surface fraction vegetation coverage (FVC) were analyzed in each area and the correlation between vegetation coverage and climatic factors was studied. The results showed that: (1) The overall vegetation coverage showed a moderate decrease trend in fluctuation from 2017 to 2021. The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The FVC in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall FVC in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the FVC in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatiotemporal change characteristics of vegetation coverage in Shangwan Mine of China’s Shendong Mining Area

Song,

Fang,

Zhang

et al. 2024

PLoS ONE

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“…Typically, a decrease in FVC might indicate detrimental environmental effects caused by intense mining, while an increase could signify effective environmental stewardship. This approach has been successfully deployed in multiple mining areas like Qibaoshan Town in China, 10 Dexing City in China, 11 and Dartford in the UK, 12 yielding promising results.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are still some simple, intuitive, and accessible tools in early years that can provide a comprehensive overview of the entire accident for us. As mentioned in the introduction part, recently researchers (we) have proposed a novel approach 10 , 11 that suggests the fraction vegetation coverage (FVC) can serve as an ecological indicator for monitoring mining expansion and associated disasters in a mining area (or a mine site). Since mining activities have a direct impact on vegetation reduction, 12 changes in vegetation cover can be used to infer the damage caused by mining-related disasters and the progress of recovery efforts.…”

Section: Introductionmentioning

confidence: 99%

Vegetation as an ecological indicator in assessing environmental restoration in mining areas

Yu,

Zahidi,

Chow

2023

iScience

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“…Some scholars have also applied it to the deformation monitoring research of tailings dams, but the majority concentrate on the deformation analysis of the dam body after dam failure, and very few investigate the deformation of tailings dams in operation. Current research on the Dexing Copper Mine concentrates primarily on copper mining, the impact of mining on the ecological environment, mine slope management, mine geological information, and changes of mining surface vegetation cover [ 58 , 59 , 60 , 61 , 62 ]. A few scholars have studied the deformation of the Dexing Copper Mine area, including the open pit, plant, and supporting areas [ 63 ], but there is a lack of research on the stability of the tailings dam.…”

Section: Introductionmentioning

confidence: 99%

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam

Xie,

Wu,

Gao

et al. 2023

Sensors

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The No.4 tailings pond of the Dexing Copper Mine is the second largest in Asia. The tailing pond is a dangerous source of man-made debris flow with high potential energy. In view of the lack of effective and low-cost global safety monitoring means in this region, in this paper, the time-series InSAR technology is innovatively introduced to monitor the deformation of tailings dam and significant key findings are obtained. First, the surface deformation information of the tailings pond and its surrounding areas was extracted by using SBAS-InSAR technology and Sentinel-1A data. Second, the cause of deformation is explored by analyzing the deformation rate, deformation accumulation, and three typical deformation rate profiles of the representative observation points on the dam body. Finally, the power function model is used to predict the typical deformation observation points. The results of this paper indicated that: (1) the surface deformation of the tailings dam can be categorized into two directions: the upper portion of the dam moving away from the satellite along the Line of Sight (LOS) at a rate of −40 mm/yr, whereas the bottom portion approaching the satellite along the LOS at a rate of 8 mm/yr; (2) the deformation of the dam body is mainly affected by the inventory deposits and the construction materials of the dam body; (3) according to the current trend, deformation of two typical observation points in the LOS direction will reach the cumulative deformation of 80 mm and −360 mm respectively. The research results can provide data support for safety management of No.4 tailings dam in the Dexing Copper Mine, and provide a method reference for monitoring other similar tailings dams.

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Spatiotemporal variation of vegetation cover in mining areas of Dexing City, China

Cited by 14 publications

References 36 publications

Spatiotemporal change characteristics of vegetation coverage in Shangwan Mine of China’s Shendong Mining Area

Spatiotemporal change characteristics of vegetation coverage in Shangwan Mine of China’s Shendong Mining Area

Vegetation as an ecological indicator in assessing environmental restoration in mining areas

SBAS-InSAR Based Deformation Monitoring of Tailings Dam: The Case Study of the Dexing Copper Mine No.4 Tailings Dam

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