Investigation of Vegetation Changes in Different Mining Areas in Liaoning Province, China, Using Multisource Remote Sensing Data

Mining can provide necessary mineral resources for humans. However, mining activities may cause damage to the surrounding ecology and environment. Vegetation change analysis is a key tool for evaluating damage to ecology and the environment. Liaoning is one of the major mining provinces in China, with rich mineral resources and long-term, high-intensity mining activities. Taking Liaoning Province as an example, vegetation change in six mining areas was investigated using multisource remote sensing data to evaluate ecological and environmental changes. Based on MODIS NDVI series data from 2000 to 2019, change trends of vegetation were evaluated using linear regression. According to the results, there are large highly degraded vegetation areas in the Anshan, Benxi, and Yingkou mining areas, which indicates that mining activities have seriously damaged the vegetation in these areas. In contrast, there are considerable areas with improved vegetation in the Anshan, Fushun, and Fuxin mining areas, which indicates that ecological reclamation has played a positive role in these areas. Based on Sentinel-2A data, leaf chlorophyll content was inferred by using the vegetation index MERIS Terrestrial Chlorophyll Index (MTCI) after measurement of leaf spectra and chlorophyll content were carried out on the ground to validate the performance of MTCI. According to the results, the leaf chlorophyll content in the mines is generally lower than in adjacent areas in these mining areas with individual differences. In the Yingkou mining area, the chlorophyll content in adjacent areas is close to the magnesite mines, which means the spillover effect of environmental pollution in mines should be considerable. In the Anshan, Benxi, and Diaobingshan mining areas, the environmental stress on adjacent areas is slight. All in all, iron and magnesite open-pit mines should be monitored closely for vegetation destruction and stress due to the high intensity of mining activities and serious pollution. In contrast, the disturbance to vegetation is limited in resource-exhausted open-pit coal mines and underground coal mines. It is suggested that land reclamation should be enhanced to improve the vegetation in active open-pit mining areas, such as the Anshan, Benxi, and Yingkou mining areas. Additionally, environmental protection measures should be enhanced to relieve vegetation stress in the Yingkou mining area.

Download Full-text

Monitoring Mining Activities Using Sentinel-1A InSAR Coherence in Open-Pit Coal Mines

Remote Sensing ◽

10.3390/rs13214485 ◽

2021 ◽

Vol 13 (21) ◽

pp. 4485

Author(s):

Lili Wang ◽

Liao Yang ◽

Weisheng Wang ◽

Baili Chen ◽

Xiaolin Sun

Keyword(s):

Time Series ◽

Coal Mines ◽

Mining Area ◽

Open Pit ◽

Mining Activities ◽

Mining Operations ◽

Open Pit Mines ◽

Bare Rock ◽

Mining Areas ◽

Illegal Mining

Long-term continuous monitoring of the mining activities in open-pit coal mines is conducive to planning and management of the mining operations. Additionally, this faciliatates assessment on their environmental impact and supervises illegal mining behaviors. Interferometric Synthetic Aperture Radar (InSAR) technology can be effectively applied in the monitoring of open-pit mines where vegetation is sparse and land cover is dominated by bare rock. The main objective of this study is to monitor the mining activities of four open-pit coal mines in the Wucaiwan mining area in China from 2018 to 2020, namely No. 1, No. 2 (containing two mining areas), and No. 3. We use the normalized differential activity index (NDAI) based on the coherence coefficient as an indicator of the mine activity due to its robustness to temporal and spatial decorrelation. After analyzing and removing the decorrelation caused by rain and snow weather, 70 NDAI images in 12-day intervals are obtained from Sentinel-1A InSAR coherence images. Then, the annually-averaged NDAI images are applied to an RGB composite technique (red for 2018, green for 2019, blue for 2020) to express the interannual variation of the mining activities. Points of interest are then selected for NDAI time series analysis. The RGB composite results indicated that No. 1 and 3 open-pit coal mines were continuously mined during the three years; whereas, the two mining areas of No. 2 were mainly active in 2018. The 12-day NDAI time-series graphs of No. 2 open-pit coal mine also indicate that the coal piles located in the coal transferring area of the first mining area were not completely removed until April 2019. It is also seen that the second mining area was decommissioned in November 2018 and became rehabilitated in July 2019. Results were validated using the Sentinel-2A images and related background information confirming the efficiency of the proposed approach for monitoring the mining activity in open-pit mines.

Download Full-text

Evaluation of Ecological Stability in Semi-Arid Open-Pit Coal Mining Area Based on Structure and Function Coupling during 2002–2017

Remote Sensing ◽

10.3390/rs13245040 ◽

2021 ◽

Vol 13 (24) ◽

pp. 5040

Author(s):

Xinhui Li ◽

Shaogang Lei ◽

Ying Liu ◽

Hang Chen ◽

Yibo Zhao ◽

...

Keyword(s):

Coal Mining ◽

Mining Area ◽

Open Pit ◽

State Transitions ◽

Mining Activities ◽

Ecological Stability ◽

Mining Areas ◽

Coal Mining Area ◽

Positive State ◽

Semi Arid

Open-pit coal mining plays an important role in supporting national economic development; however, it has caused ecological problems and even seriously impacted regional ecological stability. Given the importance of maintaining ecological stability in semi-arid coal mining areas, this study used a coupling coordination degree approach based on the structural and functional state transition model (SFSTM) to evaluate the spatio–temporal variation of ecological stability from 2002 to 2017 by using MODIS and Landsat datasets in the semi-arid open-pit coal mining area. Besides, random points were created for different ecological stability levels (containing natural areas, coal mining areas, and reclamation areas) and segment linear regression was conducted to determine the structural change threshold for negative state transitions based on mining and positive state transitions based on reclamation. Furthermore, the impact factors of ecological stability were analyzed. Results showed that ecological stability fluctuated significantly over 16 years, showing a trend of first increasing and then decreasing. It was found that precipitation and temperature were the key natural factors affecting ecological stability, and mining activities constituted the dominant factor. The average perturbation distances to ecological stability from mining activities in the west, southwest, and east mining groups were 7500, 5500, and 8000 m, respectively. SFSTM is appliable to the coal mining ecosystem. Quantitative models of ecological stability response can help resolve ambiguity about management efficacy and the ecological stability results facilitate iterative updating of knowledge by using monitoring data from coal mining areas. Moreover, the proposed ecological structural threshold provides a useful early warning tool, which can aid in the reduction of ecosystem uncertainty and avoid reverse transformations of the positive state in the coal mining areas.

Download Full-text

Dust Dispersion and Its Effect on Vegetation Spectra at Canopy and Pixel Scales in an Open-Pit Mining Area

Remote Sensing ◽

10.3390/rs12223759 ◽

2020 ◽

Vol 12 (22) ◽

pp. 3759

Author(s):

Baodong Ma ◽

Xuexin Li ◽

Ziwei Jiang ◽

Ruiliang Pu ◽

Aiman Liang ◽

...

Keyword(s):

Remote Sensing ◽

Mining Area ◽

Open Pit ◽

Open Pit Mining ◽

Vegetation Canopy ◽

Dust Pollution ◽

Mining Areas ◽

Dust Effect ◽

Dust Dispersion ◽

Pixel Scale

Dust pollution is severe in some mining areas in China due to rapid industrial development. Dust deposited on the vegetation canopy may change its spectra. However, a relationship between canopy spectra and dust amount has not been quantitatively studied, and a pixel-scale condition for remote sensing application has not been considered yet. In this study, the dust dispersion characteristics in an iron mining area were investigated using the American Meteorological Society (AMS) and the U.S. Environmental Protection Agency (EPA) regulatory model (AERMOD). Further, based on the three-dimensional discrete anisotropic radiative transfer (DART) model, the spectral characteristics of vegetation canopy under the dusty condition were simulated, and the influence of dustfall on vegetation canopy spectra was studied. Finally, the dust effect on vegetation spectra at the canopy scale was extended to a pixel scale, and the response of dust effect on vegetation spectra at the pixel scale was determined under different fractional vegetation covers (FVCs). The experimental results show that the dust pollution along a haul road was more severe and extensive than that in a stope. Taking dust dispersion along the road as an example, the variation of vegetation canopy spectra increased with the height of dust deposited on the vegetation canopy. At the pixel scale, a lower vegetation FVC would weaken the influence of dust on the spectra. The results derived from simulation spectral data were tested using satellite remote sensing images. The tested result indicates that the influence of dust retention on the pixel spectra with different FVCs was consistent with that created with the simulated data. The finding could be beneficial for those making decisions on monitoring vegetation under dusty conditions and reducing dust pollution in mining areas using remote sensing technology.

Download Full-text

Mine Dynamic Monitoring and Integrated Management Based on RS and GIS

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.3840 ◽

2014 ◽

Vol 955-959 ◽

pp. 3840-3844 ◽

Cited By ~ 1

Author(s):

Xue Yuan Li ◽

Shi Lei Chen ◽

Kai Bian

Keyword(s):

Integrated Management ◽

Mineral Resources ◽

Accurate Method ◽

Mining Area ◽

Dynamic Monitoring ◽

Mining Areas ◽

Rs And Gis ◽

Wide Range ◽

Spatial Database Engine ◽

Mine Development

The development of mineral resources is accompanied by serious threats to the geological environment in China. In order to balance mining order, mine environmental protection and ecological restoration, this article examines a case study of Ningwu mining area and proposes an accurate method for mine dynamic monitoring in mining area based on remote sensing (RS), which is a series of technical processes with RS images selection, mine development situation and dynamic monitoring which includes areas change and types transfer. Findings indicate that the area of bauxite pit, bauxite and coal dump increased, the area of coal industrial square decreased, coal dump and industrial square mainly transferred into bauxite pit. The organization and storage model were discussed for results integrated management by spatial database engine (ArcSDE).The application of results retrieval was developed by GIS components. This method can be considered as an effective approach for a wide range of mine development monitoring in mining areas in China.

Download Full-text

GROUND DEFORMATION EXTRACTION USING VISIBLE IMAGES AND LIDAR DATA IN MINING AREA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b7-505-2016 ◽

2016 ◽

Vol XLI-B7 ◽

pp. 505-512 ◽

Cited By ~ 1

Author(s):

Wenmin Hu ◽

Lixin Wu

Keyword(s):

Time Series ◽

High Resolution ◽

Ground Deformation ◽

Mining Area ◽

Open Pit Mine ◽

Space Distribution ◽

Open Pit ◽

Mining Activities ◽

Study Results ◽

The Mean

Recognition and extraction of mining ground deformation can help us understand the deformation process and space distribution, and estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combining with high resolution visible stereo imagery, LiDAR observation point cloud data and historical data. The DEM in large mining area is generated using high-resolution satellite stereo images, and ground deformation is obtained through time series analysis combined with historical DEM data. Ground deformation caused by mining activities are detected and analyzed to explain the link between the regional ground deformation and local deformation. A district of covering 200 km2 around the West Open Pit Mine in Fushun of Liaoning province, a city located in the Northeast China is chosen as the test area for example. Regional and local ground deformation from 2010 to 2015 time series are detected and extracted with DEMs derived from ZY-3 images and LiDAR point DEMs in the case study. Results show that the mean regional deformation is 7.1 m of rising elevation with RMS 9.6 m. Deformation of rising elevation and deformation of declining elevation couple together in local area. The area of higher elevation variation is 16.3 km2 and the mean rising value is 35.8 m with RMS 15.7 m, while the deformation area of lower elevation variation is 6.8 km2 and the mean declining value is 17.6 m with RMS 9.3 m. Moreover, local large deformation and regional slow deformation couple together, the deformation in local mining activities has expanded to the surrounding area, a large ground fracture with declining elevation has been detected and extracted in the south of West Open Pit Mine, the mean declining elevation of which is 23.1 m and covering about 2.3 km2 till 2015. The results in this paper are preliminary currently; we are making efforts to improve more precision results with invariant ground control data for validation.

Download Full-text

Slope ranking and geohazards correlation analysis for combined open-underground mining area

10.7287/peerj.preprints.27070v1 ◽

2018 ◽

Author(s):

Zhang Jin

Keyword(s):

Correlation Analysis ◽

Water Conservation ◽

Laser Scanning ◽

Underground Mining ◽

Mining Area ◽

Open Pit ◽

Ground Subsidence ◽

Data Sets ◽

Mining Areas ◽

Factor Data

Geohazards in mining areas are mainly ground subsidence, slope landslides and ground cracks, surface cover degradation and environmental ecological pattern destruction. The classification and rank of terrain slope and the feature area extraction of the slope are the important content for the correlation analysis with the geohazards. The slope classification and rank index system for soil and water conservation, land use and man-made ground disasters was analyzed. According to the characteristics of open pit and underground associated mining area, we comprehensively analyzed the spatial correlation between different ground disaster and terrain features and landform types, and propose a new slope ranking index, dividing slope zones and forming slope classification map. Especially slope area of 35-45 degrees and more than 45 degrees was extracted, and the relationship between regional geohazards and slope zone was analyzed. The application of terrestrial laser scanning technology to establish open-pit high precision digital elevation model, extraction of slope, slope type, gully density characteristic factor, topography factor data sets are established, and correlation analysis, to enhance disaster information content.

Download Full-text

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

Advances in Materials Science and Engineering ◽

10.1155/2021/9988017 ◽

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.

Download Full-text

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

Median Jurnal Ilmu Ilmu Eksakta ◽

10.33506/md.v13i1.1197 ◽

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.

Download Full-text

EVALUASI KEBIJAKAN PENGELOLAAN LINGKUNGAN PERTAMBANGAN DI PULAU OBI PROVINSI MALUKU UTARA

Jurnal Ilmiah Pendidikan Lingkungan dan Pembangunan ◽

10.21009/plpb.212.05 ◽

2020 ◽

Vol 21 (02) ◽

pp. 58-68

Author(s):

Zulkifli Zam Zam ◽

I Made Putrawan

Keyword(s):

Environmental Law ◽

Evaluation Model ◽

Policy Research ◽

Mining Area ◽

Open Pit ◽

Mining Activities ◽

Environmental Media ◽

Nickel Mining ◽

The Government

Nickel mining activities in Obi Island, North Maluku Province use open-pit techniques, causing environmental problems. The purpose of this study was to evaluate the environmental conditions of the mining area and evaluate the obligations of the government of South Halmahera Regency in preparing and implementing environmental management instruments in accordance with UU No.32/2009. This research is a policy research to evaluate mining activities, using the Haas & Springer evaluation model. The results showed that mining activities in Obi Island, North Maluku Province caused a decrease in the quality of the environment, due to the Government of South Halmahera Regency which was not consistent in protecting and managing the environment, especially in the mining area, this can be seen from the absence of RTRW / RPMJD KLHS Documents, implementation of the UKL / UPL AMDAL that is not yet optimal, and there is no standard for B3 waste management and B3 waste dumping to the environmental media. Thus, the local Regency Government has not been able to implement environmental law policies properly, effectively and efficiently.

Download Full-text

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

PROMINE ◽

10.33019/promine.v7i1.1057 ◽

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.

Download Full-text