Detecting surface subsidence in coal mining area based on DInSAR technique

Dong, Shaochun; Yin, Handong; Yao, Shuchun; Zhang, Fei

doi:10.1007/s12583-013-0342-1

Cited by 35 publications

(17 citation statements)

References 4 publications

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“…Four interferograms were generated by two adjacent co-registered images and the external DEM was selected to remove the effect of topography phase in the interferograms. Now the traditional D-InSAR technique had been widely used to achieve the ground deformation induced by coal mining (Dong et al, 2013;Yerro et al, 2014), so we applied the D-InSAR technique to obtain the ground deformation along the line of sight of study area in the paper.…”

Section: Methodsmentioning

confidence: 99%

“…The average mining depth is about 802 m and the average mining thickness is about 2.7 m. The length of workface along strike direction is about 1150 m and the length along dip direction is about 260 m. The direction of extraction is from west to east, the extraction time is about during from March 2012 to March 2013 and the average advancing rate is about 4 m/d. The study area is covered with farmlands, roads, rivers and some infrastructures (Dong et al, 2013(Dong et al, , 2015Zhang et al, 2015aZhang et al, , 2015b.…”

Section: Study Area and Datamentioning

confidence: 99%

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Analysis of Mining-Induced Subsidence Prediction by Exponent Knothe Model Combined With Insar and Leveling

Chen

Zhang

Tang

et al. 2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The principle of exponent Knothe model was introduced in detail and the variation process of mining subsidence with time was analysed based on the formulas of subsidence, subsidence velocity and subsidence acceleration in the paper. Five scenes of radar images and six levelling measurements were collected to extract ground deformation characteristics in one coal mining area in this study. Then the unknown parameters of exponent Knothe model were estimated by combined levelling data with deformation information along the line of sight obtained by InSAR technique. By compared the fitting and prediction results obtained by InSAR and levelling with that obtained only by levelling, it was shown that the accuracy of fitting and prediction combined with InSAR and levelling was obviously better than the other that. Therefore, the InSAR measurements can significantly improve the fitting and prediction accuracy of exponent Knothe model.

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Section: Methodsmentioning

confidence: 99%

Section: Study Area and Datamentioning

confidence: 99%

Analysis of Mining-Induced Subsidence Prediction by Exponent Knothe Model Combined With Insar and Leveling

Chen

Zhang

Tang

et al. 2018

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Both the areas are located in Huainan City, Anhui Province, East China (Figure 1), where there has been extensive underground coal mining for decades (Dong et al 2013). The two waterlogged areas cover areas of 4.5 and 3.5 km 2 , and have average depths of 4 m and 4.5 m, respectively.…”

Section: Study Areamentioning

confidence: 99%

“…About 95% of China's coal comes from underground coal mining (Du et al 2007). However, extensive long-term underground coal mining compromises the stability of the overlying rocks and causes surface distortion and land subsidence, resulting in the formation of large-scale seasonally or perennially waterlogged areas, especially in areas where groundwater occurs close to the surface (Du et al 2007;Hu, Xu, and Zhao 2012;Dong et al 2013). Various pollutants released from the submerged land and discharged from nearby industrial activities converge in the NIR/red reflectance ratio is commonly used to estimate Chl-a concentrations in turbid productive waters and have yielded accurate results (Vincent et al 2004;Gilerson et al 2010;Yang et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Using field spectral measurements to estimate chlorophyll-a in waterlogged areas of Huainan, China

Pei

Yao

Dong

et al. 2015

GIScience & Remote Sensing

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Long-term, large-scale underground coal mining activities in Huainan, China, have damaged the stability of the overlying rocks, resulting in large waterlogged areas. The water quality in these areas is compromised by agricultural pollutants and discharge of untreated waste. In this study, chlorophyll-a (Chl-a) concentrations were estimated in two types of waterlogged area, semi-closed (the Panji area [Pj]) and closed (the Guqiao area [Gq]), using information from water samples and in situ hyperspectral data collected in May and November 2013. The absorption coefficients of phytoplankton (a ph (λ)), colored dissolved organic matter (a CDOM (λ)), and nonpigmented suspended matter (a d (λ)) were determined. Nonpigmented components (a d (λ) and a CDOM (λ)) had a significant influence on the waterlogged areas, more so in Pj than in Gq because of its connection to the Ni River.The NIR-red, three-band, and normalized difference chlorophyll index (NDCI) models were calibrated and validated to estimate Chl-a concentrations in Pj and Gq. All three models yielded good estimations of the Chl-a concentrations in waterlogged areas. The three-band model was more accurate for the semi-closed waterlogged area, while the NDCI model was more accurate for the closed waterlogged area. Results indicate that field spectral measurements can be used to accurately estimate Chl-a concentrations in waterlogged areas.

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“…It has been used extensively for the monitoring of land deformation caused by earthquakes [3], underground water extraction [4], and landslides [5]. Assessment of slope stability using DInSAR has been reported [6] while land subsidence of mining areas has been elaborated [7][8][9][10]. Moreover, this technique has been used to complement geological interpretation [11] and/or geotechnical studies [12].…”

Section: Introductionmentioning

confidence: 99%

Complementing geotechnical slope stability and land movement analysis using satellite DInSAR

Tripolitsiotis

Steiakakis²,

Papadaki

et al. 2014

Open Geosciences

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This paper explores the potential of using satellite radar inteferometry to monitor time-varying land movement prior to any visible tension crack signs. The idea was developed during dedicated geotechnical studies at a large open-pit lignite mine, where large slope movements (10-20 mm/day) were monitored and large fissures were observed in the immediate area outside the current pit limits. In this work, differential interferometry (DInSAR), using Synthetic Aperture Radar (SAR) ALOS images, was applied to monitor the progression of land movement that could potentially thwart mine operations. Early signs of land movements were captured by this technique well before their visual observation. Moreover, a qualitative comparison of DInSAR and ground geodetic measurements indicates that the technique can be used for the identification of high risk areas and, subsequently, for the optimization of the spatial distribution of the available ground monitoring equipment. Finally, quantitative land movement results from DInSAR are shown to be in accordance with simultaneous measurements obtained by ground means.

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Detecting surface subsidence in coal mining area based on DInSAR technique

Cited by 35 publications

References 4 publications

Analysis of Mining-Induced Subsidence Prediction by Exponent Knothe Model Combined With Insar and Leveling

Analysis of Mining-Induced Subsidence Prediction by Exponent Knothe Model Combined With Insar and Leveling

Using field spectral measurements to estimate chlorophyll-a in waterlogged areas of Huainan, China

Complementing geotechnical slope stability and land movement analysis using satellite DInSAR

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