Study on Soil Moisture Surrounding Coal Mining Subsidence Crack in Semi-Arid Region

Ying, Binwu; Gao, Yingxin; Zhang, Yan; Dong, Jie; Huang, Ya Ru

doi:10.4028/www.scientific.net/amr.726-731.3883

Cited by 4 publications

(8 citation statements)

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“…A simple sine model that describes the diurnal land surface temperature difference was established in this study. It has been widely reported that the diurnal cycles of land surface temperature and air temperature can be approximately described as sine curves ( Ma et al, 2013). Therefore, we assumed that both diurnal air temperature and land surface temperature are the sine functions of time t. , ) sin(…”

Section: Diurnal Land Surface Temperature Difference (∆T)mentioning

confidence: 99%

“…Coal energy consumption is significant in China and underground mining is the major practice of China's coal mining (Ma, 2013). Underground mining activities were reported to have caused many changes in the lithosphere, hydrosphere, atmosphere, biosphere and land cover at large spatial scales (Chen and Hu, 2004) and to have resulted in dramatic soil moisture changes in mining-led subsiding areas (Kong et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Underground mining activities were reported to have caused many changes in the lithosphere, hydrosphere, atmosphere, biosphere and land cover at large spatial scales (Chen and Hu, 2004) and to have resulted in dramatic soil moisture changes in mining-led subsiding areas (Kong et al, 2016). Shendong coal mining area, a major energy base in China (Ma et al, 2013), is a vulnerable ecological region with deep groundwater table (8-35 m before mining), high evaporation and low precipitation (Liu, 2013). The impacts of underground mining activities on SMC in the Shendong coal mining area have been widely investigated (He et al, 2007;Bian et al, 2009a;Zhao et al, 2010;Bi et al, 2014;Ma et al, 2014;Li et al, 2016;Tai et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…The impacts of underground mining activities on SMC in the Shendong coal mining area have been widely investigated (He et al, 2007;Bian et al, 2009a;Zhao et al, 2010;Bi et al, 2014;Ma et al, 2014;Li et al, 2016;Tai et al, 2016). These previous studies mainly focused on the comparison of SMC between mined and unmined areas either based on the limited field tests or solely based on RS data or simply focused on the relationship between SMC and collapse fissures resulted from mining activities (Wei et al, 2006;He et al, 2007;Bian et al, 2009a;Zhao et al, 2010;Zang et al, 2012;Liu, 2013;Ma et al, 2013;Li et al, 2016). Nevertheless, knowledge about the impacts of underground mining activities on SMC from multi-temporal aspects and multi-scale perspectives is scare.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model

2017

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Mining operations can usually lead to environmental deteriorations. Underground mining activities could cause an extensive decrease in groundwater level and thus a dramatic variation in soil moisture content (SMC). In this study, the spatial and temporal variations of SMC from 2001 to 2015 at two spatial scales (i.e., the Shendong coal mining area and the Daliuta Coal Mine) were analyzed using an improved thermal inertia model with a long-term series of Landsat TM/OLI (TM=Thematic Mapper and OLI=Operational Land Imager) data. Our results show that at large spatial scale (the Shendong coal mining area), underground mining activities had insignificant negative impacts on SMC and that at small spatial scale (the Daliuta Coal Mine), underground mining activities had significant negative impacts on SMC. Trend analysis of SMC demonstrated that areas with decreasing trend of SMC were mainly distributed in the mined area, indicating that underground mining is a primary cause for the drying trend in the mining region in this arid environment.

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Section: Diurnal Land Surface Temperature Difference (∆T)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model

2017

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“…This decrease would be significant in an area near ground fissures, which would influence infiltration by collecting the surface runoff (Peng, Wang, Cheng, & Lu, 2018). Therefore, the soil moisture in an area with ground fissures is commonly lower than that in an unmined area, as has been documented in previous research (Hu & Ceng, 2016;Ma, Gao, Zhang, Dong, & Huang, 2013). Furthermore, ground fissures were also found to result in the degradation of other soil properties, such as creating a loss of soil fertility, decrease in field capacity, and change in the soil microbial community (Ma, Zhang, Ruan, Guo, & Chai, 2019).…”

Section: The Long-term Effect Of Underground Mining On Vegetationmentioning

confidence: 84%

The long‐term effects of underground mining on the growth of tree, shrub, and herb communities in arid and semiarid areas in China

Yang

Hou

et al. 2020

Land Degrad Dev

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Underground mining (as opposed to open‐cast) often causes large‐scale subsidence, leading to various types of disturbances to surface vegetation. Adequate quantitative assessment of the long‐term effects of underground mining on the growth of different plant communities is important and still lacking. To address these issues, a vegetation growth contract model (VGCM) was proposed, and six indicators including the growth trend (GT), annual growth (AG), normalized spectrum entropy (Hsn), as well as the average value of annual‐average normalized difference vegetation index (NDVI; ANDVIave), annual‐maximum NDVI (ANDVImax), and annual‐minimum NDVI (ANDVImin) were selected. The long‐term effects of underground mining (EM) on the herb, shrub, and tree communities in the Nanjiao mining area, China, from 1987 to 2017 were evaluated. The results show that the plant communities, which maintained the same type in the areas influenced and not influenced by mining, accounting for 48.07% and 46% of the total area, respectively. As for these plant communities, underground mining had a significant negative effect on the AG, ANDVIave, and ANDVImax of both the herb and tree communities, while it had a positive effect on the GT and Hsn of the shrub community. Overall, underground mining had a negative effect on these three types of plant communities, and the EMs of the herb, tree, and shrub communities were −15.10, −6.79, and −4.03%, respectively. This research could provide a reference for evaluating the long‐term effects of mining activities on vegetation, and also give more insights into the effects of underground mining on different plant communities.

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Impacts of Ground Fissures on Soil Properties in an Underground Mining Area on the Loess Plateau, China

Yang

Hou

et al. 2022

Land

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Mining-induced ground fissures are the main type of geological disasters found on the Loess Plateau, China, and cause great impacts on the soil properties around ground fissures. However, little research has been conducted on the quantitative relationship between ground fissures and changes in soil properties. To address this, 40 ground fissures in the Yungang mining area, Datong City, Shanxi Province, China, were investigated, and changes in soil properties (soil organic matter, soil moisture, field capacity, bulk density, soil porosity, and grain compositions) were revealed by the difference in soil properties between the edge and contrast points around ground fissures. Redundancy analyses were used to illustrate the relationships between the value (Si_DV) and percentage (Si_DP) of the difference in soil properties between the edge and contrast points, as well as the ground fissures. The characteristics of ground fissures that had a significant correlation according to Pearson correlation analysis with Si_DP were selected and analyzed via multivariate linear fitting model, random forest model, and Back Propagation (BP) neural network model, respectively. Results show that soil organic matter, soil moisture content, bulk density, field capacity, and the content of clay at the edge points were significantly less than those at the contrast points; conversely, soil porosity at the edge points was significantly greater. The average percentage of the difference between the edge points and contrast points of ground fissures in these six properties was 15.27%, while soil moisture content showed the greatest change (20.65%). The Si_DP was significantly correlated with the width, slope, and vegetation coverage of ground fissures; however, the vegetation coverage was the determining factor. BP neural network model had the greatest performance in revealing the relationships between ground fissures and changes in soil properties. The model for soil organic matter had the highest accuracy (R2 = 0.89), and all others were above 0.5. This research provides insights into the quantitative relationship between ground fissures and their impacts on soil physical properties, which can be used in conjunction with remote sensing images to rapidly assess soil erosion risks caused by mining on a large scale, given that soil physical properties are closely related to topsoil stability.

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Study on Soil Moisture Surrounding Coal Mining Subsidence Crack in Semi-Arid Region

Cited by 4 publications

References 0 publications

Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model

Investigating spatial and temporal variations of soil moisture content in an arid mining area using an improved thermal inertia model

The long‐term effects of underground mining on the growth of tree, shrub, and herb communities in arid and semiarid areas in China

Impacts of Ground Fissures on Soil Properties in an Underground Mining Area on the Loess Plateau, China

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