Rapid monitoring of reclaimed farmland effects in coal mining subsidence area using a multi-spectral UAV platform

Zhao, Yuemin; Zheng, Wenxiu; Xiao, Wu; Zhang, Shuo; Lv, Xuejiao; Zhang, Jianyong

doi:10.1007/s10661-020-08453-5

Cited by 23 publications

(9 citation statements)

References 60 publications

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“…Zhang et al found that a long reclamation period is conducive to the restoration of vegetation, and the reclamation project has a direct effect on the restoration of the ecological environment of the mining area (Zhang et al 2019). Zhao et al also showed that the crop growth of coal mining subsidence in high underground water table mining areas can reach the level of undisturbed farmland after reclamation (Zhao et al 2020). Therefore, reclamation technology, green mining, and renewable energy should be used to reduce natural vulnerabilities and the adverse impact of coal mining on the environment, thereby promoting the sustainable development of the relevant areas.…”

Section: Suggestions and Outlookmentioning

confidence: 99%

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

et al. 2021

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Purpose The underground mining of coal leads to land subsidence and changes agricultural land into a water-logged area. This study aims to examine the relationship between coal mining subsidence and crop failure in plains with a high underground water table. Methods The Dongtan Coal Mine in Jining City of Shandong Province in China was selected as an example. Samples were gathered at gradient intervals based on the strike, dip, and angular bisector directions. The spatial variability and spatial correlation were analyzed by combining classical statistics and geostatistics. Results The order of the coefficient of variation in each parameter was as follows: the available phosphorus > available potassium > leaf area index (LAI) > biomass > soil moisture content > chlorophyll content (SPAD) > soil organic matter (SOM) > alkaline nitrogen (AN) > bulk density > elevation. Except the biomass had moderately spatially dependent, the other parameters all exhibited a strongly spatially dependent. At the level of 0.01, the correlation coefficient between SOM and AN was 0.67. The correlation coefficients relating biomass with SPAD and LAI were 0.70 and 0.69, respectively, and between SPAD and LAI was 0.68. The correlation coefficients between distance and altitude, distance and biomass, and altitude and biomass are 0.95, 0.67, and 0.65, respectively. Conclusion Coal mining leads to stretching and deformation of the ground, land subsidence, and changes in the physicochemical properties of the soil. In this case, the yield of aboveground crops is poor, but under the influence of external factors such as irrigation and breeding, the threat of coal mining to crop growth has been reduced.

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Section: Suggestions and Outlookmentioning

confidence: 99%

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

et al. 2021

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“…The expansion of industrial and mining land and mining activities are the main causes of habitat loss and fragmentation, resulting in a series of ecological and environmental issues such as land degradation and destruction, land subsidence, water pollution and depletion, biodiversity loss, and more. In addition, mining activities may directly destroy or eliminate local flora and fauna, causing irreversible damage to the ecosystem [58]…”

Section: Analysis Of Changes In Hqmentioning

confidence: 99%

Driving Mechanisms of Spatial Differentiation in Ecosystem Service Value in Opencast Coal Mines in Arid Areas: A Case Study in the Zhundong Economic and Technological Development Zone

Akbar,

Abulizi,

Erken

et al. 2024

Land

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The valuation of ecosystem services (ESs) is crucial for preserving ecosystems, assessing natural resources, and making decisions regarding compensation. In this study, we employed the InVEST model’s habitat quality (HQ) module to calculate the HQ and degradation levels in the study area using land use/land cover (LULC) data from 2000 to 2020. Our analysis utilized quantitative methods, including spatial correlation, hotspot analysis, and geo-probing, to determine the value of ESs and identify trends. Furthermore, we examined the spatial and temporal variation in the significance of ESs and their driving factors. The results show the following. (1) The primary LULC types in the Zhundong coalfield from 2000 to 2020 are grassland and barren areas. (2) The average value of the HQ index in the study area exhibited a generally decreasing trend. Between 2000 and 2010, HQ significantly declined, particularly in the region’s large barren industrial and mining zones. However, over time, the proportion of sites with minimal degradation improved steadily, resulting in better overall HQ in the study area by 2020. This pertains to the measures put in place by the local government to safeguard and rehabilitate the ecosystem. (3) The spatial distribution of the ecosystem service value (ESV) aligns with changes in HQ and LULC, with significant hotspots primarily observed in forest and grassland areas, nature reserves, and areas around water sources. (4) LULC, temperature, annual precipitation, and elevation are the main drivers of spatial variation in the ESV in the Zhundong area; the spatial variation in the ESV in the Zhundong coalfield is primarily influenced by the interaction between human factors and natural factors, in which LULC plays a dominant role. This study’s findings can guide the development of rational ecological planning, integrating resource conservation mining with effective zoning management.

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“…Surface subsidence caused by mining leads to the destruction of surface land resources, collapse of buildings, and destruction of roads and induces geological disasters and soil erosion, which seriously threatens the ecological environment and infrastructure safety of mining areas [1]. A series of secondary problems, such as vegetation and water environment pollution and land resource destruction caused by mining, have seriously affected the sustainable development of the mining industry [2,3]. A large number of scholars have studied the prediction of mining subsidence, and by anticipating the basic information of surface subsidence in advance, it can not only guide mine production and disaster prevention but also reduce the environmental and resource damage caused by mining subsidence through optimizing the mining plan and treatment countermeasures in advance [4,5].…”

Section: Introductionmentioning

confidence: 99%

Research on the Prediction Model of Mine Subsidence Based on Object-Oriented and Probability Integration Method

Zhao

Gao

et al. 2022

Geofluids

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The movement of rock formations caused by mining eventually leads to the mining subsidence damage of the surface. In order to accurately and efficiently predict the surface subsidence caused by mining, an object-oriented method combined with the classical probability integration method is introduced in this paper, and an object-oriented probability integration prediction model framework is established. MATLAB2019 is used to develop the application program of the prediction model, the reliability of the prediction model is tested by engineering cases, and the main influencing factors of mining subsidence are analyzed at the same time. The results show that the predicted results of the model are basically consistent with the case. The prediction model developed in this paper using the object-oriented method combined with the probability integration method is reliable. It is feasible to apply the object-oriented method to mining subsidence prediction.

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Rapid monitoring of reclaimed farmland effects in coal mining subsidence area using a multi-spectral UAV platform

Cited by 23 publications

References 60 publications

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

Examining the relationship between coal mining subsidence and crop failure in plains with a high underground water table

Driving Mechanisms of Spatial Differentiation in Ecosystem Service Value in Opencast Coal Mines in Arid Areas: A Case Study in the Zhundong Economic and Technological Development Zone

Research on the Prediction Model of Mine Subsidence Based on Object-Oriented and Probability Integration Method

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