scholarly journals Deformation Monitoring in an Alpine Mining Area in the Tianshan Mountains Based on SBAS-InSAR Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qingsong Du ◽  
Guoyu Li ◽  
Yu Zhou ◽  
Mingtang Chai ◽  
Dun Chen ◽  
...  
Keyword(s):  
Mining Area ◽  
Deformation Monitoring ◽  
Tianshan Mountains ◽  
Surface Subsidence ◽  
Mining Activities ◽  
Study Region ◽  
Mining Site ◽  
Maximum Settlement ◽  
Mining Areas ◽  
Sbas Insar

The fragile habitat of alpine mining areas can be greatly affected by surface disturbances caused by mining activities, particularly open-pit mining activities, which greatly affect the periglacial environment. SBAS-InSAR technology enables the processing of SAR images to obtain highly accurate surface deformation information. This paper applied SBAS-InSAR technology to obtain three years of surface subsidence information based on the 89-scene Sentinel-1A SLC products, covering a mining area (tailings and active areas) in the Tianshan Mountains and its surroundings from 25th December 2017 to 2nd January 2021. The data were adopted to analyze the characteristics of deformation in the study region and the mining areas, and the subsidence accumulation was compared with field GNSS observation results to verify its accuracy. The results showed that the study area settled significantly, with a maximum settlement rate of −44.80 mm/a and a maximum uplift rate of 28.04 mm/a. The maximum settlement and accumulation of the whole study area over the three-year period were −129.39 mm and 60.49 mm, respectively. The mining area had a settlement value of over 80 mm over the three years. Significantly, the settlement rates of the tailings and active areas were −35 mm/a and −40 mm/a, respectively. Debris accumulation in the eastern portion of the tailings and active areas near the mountain was serious, with accumulation rates of 25 mm/a and 20 mm/a, respectively, and both had accumulation amounts of around 70 mm. For mine tailing pile areas with river flows, the pile locations and environmental restoration should be appropriately adjusted at a later stage. For gravel pile areas, regular cleaning should be carried out, especially around the mining site and at the tunnel entrances and exits, and long-term deformation monitoring of these areas should be carried out to ensure safe operation of the mining site. The SBAS-InSAR measurements were able to yield deformations with high accuracies over a wide area and cost less human and financial resources than the GNSS measurement method. Furthermore, the measurement results were more macroscopic, with great application value for surface subsidence monitoring in alpine areas.

scholarly journals Mine Geological Environment Monitoring and Risk Assessment in Arid and Semiarid Areas

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiaqi Jin ◽  
Chicheng Yan ◽  
Yixuan Tang ◽  
Yilong Yin
Keyword(s):  
Coal Mining ◽  
Ecological Restoration ◽  
Surface Deformation ◽  
Yellow River ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Surface Subsidence ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Arid And Semiarid

Along with the accelerated shift of coal mining to the ecologically fragile west, the contradiction between coal resource development and ecological protection in the western arid and semiarid coal mining areas is rapidly intensifying. Based on the above background, this thesis takes the coal mining area in the arid and semiarid regions as an example; applies the theories of ecology, coal mining subsidence, geodesy, and ecological restoration; uses remote sensing in synthetic aperture radar (SAR), geographic information system (GIS), and mathematical modelling to reveal the ecological evolution law of the mining area; measures the ecological damage of the mining area; and then proposes a reasonable ecological restoration strategy. The surface deformation monitoring study in the study area shows that on the whole, some areas in the study area have different degrees of surface subsidence disasters, and the maximum surface subsidence value exceeds 800 mm. From the distribution of surface subsidence in the study area, surface subsidence disasters mainly occur in the eastern and central mountainous areas rich in coal resources, as well as in the mining areas west of the Yellow River, and the subsidence basins are distributed in a series of irregular concentric ovals. In terms of the scale of surface subsidence in the study area, a total of 230.03 km2 of land in the study area showed surface subsidence hazards during the monitoring period, accounting for 13.78% of the total area of the study area, of which the area of severe subsidence was 44.98 km2 (2.69%). The area of more serious subsidence area is 101.33 km2 (6.07%), and the area affected by subsidence is 83.72 km2 (5.01%).

scholarly journals Potentially Toxic Element Contaminations and Lead Isotopic Fingerprinting in Soils and Sediments from a Historical Gold Mining Site

2021 ◽  
Vol 18 (20) ◽  
pp. 10925
Author(s):  
Lei Tang ◽  
Yiyue Zhang ◽  
Shuai Ma ◽  
Changchun Yan ◽  
Huanhuan Geng ◽  
...  
Keyword(s):  
Gold Mining ◽  
Mining Area ◽  
Toxic Element ◽  
Pb Isotopes ◽  
Mining Activities ◽  
Mining Site ◽  
Pb Contamination ◽  
Potentially Toxic Element ◽  
Soil Sediment ◽  
Isotopic Fingerprinting

Lead (Pb) isotopes have been widely used to identify and quantify Pb contamination in the environment. Here, the Pb isotopes, as well as the current contamination levels of Cu, Pb, Zn, Cr, Ni, Cd, As, and Hg, were investigated in soil and sediment from the historical gold mining area upstream of Miyun Reservoir, Beijing, China. The sediment had higher 206Pb/207Pb ratios (1.137 ± 0.0111) than unpolluted soil did (1.167 ± 0.0029), while the soil samples inside the mining area were much more variable (1.121 ± 0.0175). The mean concentrations (soil/sediment in mg·kg−1) of Pb (2470/42.5), Zn (181/113), Cu (199/36.7), Cr (117/68.8), Ni (40.4/28.9), Cd (0.791/0.336), As (8.52/5.10), and Hg (0.168/0.000343) characterized the soil/sediment of the studied area with mean Igeo values of the potentially toxic element (PTE) ranging from −4.71 to 9.59 for soil and from −3.39 to 2.43 for sediment. Meanwhile, principal component analysis (PCA) and hierarchical cluster analysis (HCA) coupled with Pearson’s correlation coefficient among PTEs indicated that the major source of the Cu, Zn, Pb, and Cd contamination was likely the mining activities. Evidence from Pb isotopic fingerprinting and a binary mixing model further confirmed that Pb contamination in soil and sediment came from mixed sources that are dominated by mining activity. These results highlight the persistence of PTE contamination in the historical mining site and the usefulness of Pb isotopes combined with multivariate statistical analysis to quantify contamination from mining activities.

scholarly journals Analisis Respon Masyarakat Terhadap Dampak Aktivitas Penambangan Pasir Dan Batu Di Sungai Berni Desa Sumberasri kecamatan Nglegok Kabupaten Blitar

2021 ◽  
Vol 13 (1) ◽  
pp. 44
Author(s):  
Tamara Pingki
Keyword(s):  
Data Analysis ◽  
Mining Area ◽  
Mining Activities ◽  
The Real ◽  
Mining Areas ◽  
The People ◽  
Rock Mining ◽  
The Impact

ABSTRACTSand and stone mining activities along the Berni River in Sumberasri Village, Nglegok District, Blitar Regency are still ongoing, so that the impact on the community is increasingly being felt. The real impact felt by the community is landslides and erosion. The purpose of this study was to analyze the community's response to the impact of sand and rock mining activities in the Berni River, Sumberasri Village, Nglegok District, Blitar Regency. The method used is a survey by conducting interviews with 40 residents who live around the Berni River, Sumberasri Village, Nglegok District, Blitar Regency. Based on the data analysis that has been carried out and explained, most of the people living around the mining area are not disturbed by mining activities because sand and rock mining is their main livelihood. There are 80% of people living in mining areas who admit that mining activities do not interfere with their activities, 90% of people who live in mining areas admit that their health is not disturbed, and 80% of people who live in mining areas admit that they have benefited from sand and rock mining activities. the. However, they all realized that the mining of sand and rock was causing losses, namely that more roads were damaged and erosion and landslides were frequent. Keywords: Mine, Sand and Stone. ABSTRAKAktivitas penambangan pasir dan batu di sepanjang Sungai Berni di Desa Sumberasri, Kecamatan Nglegok, Kabupaten Blitar masih berlangsung sampai saat ini, sehingga dampak di masyarakat semakin dirasakan. Dampak nyata yang dirasakan masyarakat adalah longsor dan erosi. Tujuan dari penelitian ini adalah untuk menganalisis respon masyarakat terhadap dampak aktivitas penambangan pasir dan batu di Sungai Berni, Desa Sumberasri, Kecamatan Nglegok, Kabupaten Blitar. Metode yang digunakan adalah survei dengan melakukan wawancara terhadap 40 warga yang tinggal di sekitar Sungai Berni, Desa Sumberasri, Kecamatan Nglegok, Kabupaten Blitar. Berdasarkan analisis data yang telah dilakukan dan dijelaskan, sebagian besar masyarakat yang tinggal di sekitar area pertambangan tidak mendapat gangguan akibat aktivitas penambangan karena penambangan pasir dan batu tersebut merupakan mata pencaharian utama mereka. Terdapat 80% masyarakat yang tinggal di area pertambangan mengakui bahwa aktivitas penambangan tidak mengganggu aktivitas mereka, 90% masyarakat yang tinggal di area pertambangan mengakui bahwa kesehatan tidak terganggu, dan 80% masyarakat yang tinggal di area pertambangan mengaku mendapat manfaat dari kegiatan penambangan pasir dan batu tersebut. Namun, mereka semua menyadari bahwa penambangan pasir dan batu tersebut menyebabkan kerugian, yaitu semakin banyak jalan yang rusak serta sering terjadi erosi dan longsor. Kata kunci: Tambang, Pasir dan Batu.

scholarly journals The Analysis of Slope Safety Factors at Post Mining Areas in Semaya Village, Randudongkal Sub-district, Pemalang

PROMINE ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 20-27
Author(s):  
Rinal Khaidar Ali ◽  
Najib Najib ◽  
Adam Kahfi Mulyadi
Keyword(s):  
Safety Factor ◽  
Direct Shear Test ◽  
Shear Test ◽  
Mining Area ◽  
Mining Activities ◽  
Direct Shear ◽  
Safety Factors ◽  
Mining Areas ◽  
Limit Test ◽  
Undisturbed Sample

Mining activities has become increasingly widespread in recent years, especially people’s mining, thatjust concerned about the result and not paying attention to the environmental factors.This is causedthe post mining area’s destruction and environmental degradation potential. For this reason, the slopesafety factor enhancement analysis on the post mining area in Semaya Village, Randudongkal Sub-District, Pemalang Regency is needed. Slope stability analysis using Slide 6.0 software to identify thecondition of post mining area from the results of undisturbed sample (UDS) laboratory data.Laboratory testing includes several aspects including water content, weight, specific gravity, grain size,atteberg limit test, and direct shear test. The value of the safety factor is 1,441, the value is in the safecategory because it passes the minimum value limit of the safety factor which is 1.25, this result isobtained from the terracing modeling.

scholarly journals Post-mining Remnants and Revitalization

Geoheritage ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 2025-2044 ◽  
Author(s):  
Urszula Kaźmierczak ◽  
Paweł Strzałkowski ◽  
Marek W. Lorenc ◽  
Elżbieta Szumska ◽  
Antonio Angel Peréz Sánchez ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Environmental Law ◽  
Gold Mine ◽  
Mining Activities ◽  
Environmental Condition ◽  
Legal Regulations ◽  
Mining Site ◽  
Mining Areas ◽  
Mining Law ◽  
Positive Results

Abstract The historic post-mining objects deserve special attention due to their high cognitive and didactic value. Conducting the revitalization of such facilities is aimed at preserving the mining cultural heritage, and as a result, it will insert attractiveness to the region. The publication attempts to present an approach to the issues of revitalization of post-mining objects and their analysis in Poland, Spain, and UK. In Poland, there is the Revitalization Act, which comprehensively defines stages and ways of conducting revitalization. Spanish legal regulations do not provide for a separate legal act on revitalization, but they are based on mining Law, environmental law, and cultural heritage law. On the other hand, legal regulations in UK do not provide solutions for the revitalization of post-mining areas. However, land leases could incorporate within them, prior to any industrial or mining activities commencement, a requirement for re-stabilization or returning the land to a safe environmental condition on activity completion. Despite the considerable diversity of legal conditions in the described countries, revitalization measures are conducted with positive results, as illustrated by the Gold Mine in Zloty Stok, La Tortilla Mine in Linares, and revitalization of King Edward Mine, an old mining site in Cornwall.

scholarly journals Accuracy Verification and Correction of D-InSAR and SBAS-InSAR in Monitoring Mining Surface Subsidence

2021 ◽  
Vol 13 (21) ◽  
pp. 4365
Author(s):  
Yang Chen ◽  
Shengwen Yu ◽  
Qiuxiang Tao ◽  
Guolin Liu ◽  
Luyao Wang ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Mining Area ◽  
Surface Subsidence ◽  
Edge Information ◽  
Correction Model ◽  
Basin Edge ◽  
Rock Movement ◽  
Sbas Insar ◽  
Internal Relationship

The accuracy of InSAR in monitoring mining surface subsidence is always a matter of concern for surveyors. Taking a mining area in Shandong Province, China, as the study area, D-InSAR and SBAS-InSAR were used to obtain the cumulative subsidence of a mining area over a multi-period, which was compared with the mining progress of working faces. Then dividing the mining area into regions with different magnitudes of subsidence according to the actual mining situation, the D-InSAR-, SBAS-InSAR- and leveling-monitored results of different subsidence magnitudes were compared and the Pearson correlation coefficients between them were calculated. The results show that InSAR can accurately detect the location, range, spatial change trend, and basin edge information of the mining subsidence. However, InSAR has insufficient capability to detect the subsidence center, having high displacement rates, and its monitored results are quite different from those of leveling. To solve this problem, the distance from each leveling point to the subsidence center was calculated according to the layout of the rock movement observation line. Besides, the InSAR-monitored error at each leveling point was also calculated. Then, according to the internal relationship between these distances and corresponding InSAR-monitored errors, a correction model of InSAR-monitored results was established. Using this relationship to correct the InSAR-monitored results, results consistent with the actual situation were obtained. This method effectively makes up for the deficiency of InSAR in monitoring the subsidence center of a mining area.

scholarly journals INSAR COLLABORATIVE MONITORING MODE AND MULTI-MODE COMPUTING SERVICES FOR GEOHAZARDS IDENTIFICATION IN OPEN-PIT MINING AREA

2021 ◽  
Vol XLIII-B1-2021 ◽  
pp. 241-247
Author(s):  
J. Zhang
Keyword(s):  
Time Series ◽  
Surface Deformation ◽  
Underground Mining ◽  
Mining Area ◽  
Deformation Monitoring ◽  
High Density ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Areas ◽  
Wide Range

Abstract. InSAR has developed a variety of methods, such as D-InSAR, PS-InSAR, MBAS, CT, SqueeSAR, POT, etc., which have been widely used in land subsidence monitoring. For open pit mining areas, there are usually mining activity, complex terrain features, low coherence, and local large deformation gradients, which makes it difficult for time series InSAR technology to obtain high-density surface deformation information in open pit mining areas. Traditional methods usually only monitor the linear deformation of the surface caused by the mining of a few working zone above the underground mining area, and the temporal and spatial resolution is lower. How to obtain high-precision, high-density, and time-sensitive deformation information is the main difficulty of InSAR monitoring in open pit mining areas. Make full use of the geosensor network monitoring system, optimize monitoring mode of collaborated satellite-to-ground based InSAR, further realize whole calculation and geographic information services, to achieve early identification and discovery of abnormal in large-area macro-monitoring, and accurate monitoring of local areas in real-time early warning, which is the development direction of ground deformation monitoring of mining areas. The study area is Pingshuo open pit mining area. we fully study the application mode and services of InSAR monitoring for geohazards in open-pit mining area, through the establishment of satellite InSAR technology system for large-scale macro-monitoring and forecasting, and GBSAR and GSN for local precision monitoring. The effective mode of InSAR monitoring of geohazard in open-pit mines is summarized. A combination of D-InSAR, POT (Pixel offset tracking), Time Series-InSAR and GB-SAR is used in a wide range, and high-resolution optical images are used to identify localized changes in subsidence areas and open-pit mining areas.

scholarly journals Use of Multiplatform SAR Imagery in Mining Deformation Monitoring with Dense Vegetation Coverage: A Case Study in the Fengfeng Mining Area, China

2021 ◽  
Vol 13 (16) ◽  
pp. 3091
Author(s):  
Bochen Zhang ◽  
Songbo Wu ◽  
Xiaoli Ding ◽  
Chisheng Wang ◽  
Jiasong Zhu ◽  
...  
Keyword(s):  
Ground Deformation ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Vegetation Coverage ◽  
Mining Activities ◽  
Sar Images ◽  
Ground Fissures ◽  
Mining Sites ◽  
Dense Vegetation ◽  
Sar Imagery

Ground deformation related to mining activities may occur immediately or many years later, leading to a series of mine geological disasters, such as ground fissures, collapses, and even mining earthquakes. Deformation monitoring has been carried out with techniques, such as multitemporal interferometric synthetic aperture radar (MTInSAR). Over the past decade, MTInSAR has been widely used in monitoring mining deformation, and it is still difficult to retrieve mining deformation over dense vegetation areas. In this study, we use multiple-platform SAR images to retrieve mining deformation over dense vegetation areas. The high-quality interferograms are selected by the coherence map, and the mining deformation is retrieved by the MSBAS-InSAR technique. SAR images from TerraSAR-X, Sentinel-1A, Radarsat-2, and PALSAR-2 over the Fengfeng mining area, Heibei, China, are used to retrieve the deformation of mining activities covered with dense vegetation. The results show that the subsidence in the Fengfeng mining area reaches up to 90 cm over the period from July 2015 to April 2016. The root-mean-square error (RMSE) between the results from InSAR and leveling is 83.5 mm/yr at two mining sites, i.e., Wannian and Jiulong Mines.

scholarly journals Deformation monitoring and prediction for residential areas in the Panji mining area based on an InSAR time series analysis and the GM-SVR model

2019 ◽  
Vol 11 (1) ◽  
pp. 738-749
Author(s):  
Jinchao Li ◽  
Fei Gao ◽  
Jiaguo Lu ◽  
Tingye Tao
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Mining Area ◽  
Deformation Monitoring ◽  
Dynamic Monitoring ◽  
Ground Subsidence ◽  
Support Vector ◽  
Residential Areas ◽  
Mining Areas ◽  
Series Analysis

Abstract Underground coal mining activities often cause ground subsidence and damage to surface construction, which seriously threatens the lives and property of residents in mining areas. In this paper, the deformation of the Yang Juzhuang village, which is a residential area in the Huainan mining area (China), was monitored through an interferometric synthetic aperture radar (InSAR) time series analysis. The vertical displacements were detected using thirteen Sentinel-1A images that were acquired between December 2016 and May 2017. The validity and applicability of the method are verified by comparing the acquired images with the GPS measurement results. Because of the deformation characteristics of the mining area, a prediction model that is combined with a grey support vector machine regression (GM-SVR) is proposed, and the practical effects of the model are verified using the deformation monitoring results of the study area. The combination of this model and SBAS-InSAR provides rapid dynamic monitoring and enables the issuance of disaster warnings in the region.

Subsidence Prediction under Thick Alluvium Based on Probability Integration Method

2013 ◽  
Vol 448-453 ◽  
pp. 3808-3813
Author(s):  
Yong Hui Wang ◽  
Jian Wei Zhou ◽  
Bing Wen
Keyword(s):  
Inflection Point ◽  
Integration Method ◽  
Mining Area ◽  
Surface Subsidence ◽  
Actual Situation ◽  
Main Section ◽  
Horizontal Movement ◽  
Mining Areas ◽  
Subsidence Area ◽  
Movement And Deformation

The surface subsidence resulting from coal mining can lead to terrible land damage, thus studying the distribution of surface subsidence under thick alluvium is of crucial significance.Focusing on the example of Henghe coalmine in Jining, Shandong province, this paperestablished the prediction model for main section and arbitrary points in mining areas based on the probability integration method, by which the size of subsidence, tilt, curvature, horizontal movement and deformation were predicted after the exploitation of coalbeds 2# and 3#. And the result, which is basically consistent with the actual situation, shows that subsidence areais 78 hm2 and the settlement reaches 9987mm. The thick alluvium covered the mining area accountsfor the greater surface subsidence coefficient, subsidence value, horizontal movement coefficient,horizontal movement, subsidence area and smaller deviation of inflection point.

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