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

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.

Ecological Risk Assessment of Yulin Coal Mining Area: Based on the PETAR Method

2013 ◽  
Vol 726-731 ◽  
pp. 1115-1120 ◽  
Author(s):  
Li Zhang
Keyword(s):  
Risk Assessment ◽  
Coal Mining ◽  
Qualitative Evaluation ◽  
Mining Area ◽  
Ecological Effects ◽  
Ecological Effect ◽  
Ecological Risks ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Risk Sources

In order to unravel the correlation and causality between multi-stressor sources, multi-risk receptors and multi-type ecological effects of the Yulin Coal Mining Area. Through qualitative evaluation, this study preliminarily described the main stressor sources, risk receptors and the largest ecological effect over the Yulin coal mining area and progressive and conductive relation among the stressor sources, risk receptors and ecological effects using the Procedure for Ecological Tiered Assessment of Risk method (PETAR). The PETAR method seems to be operable and effective in evaluating coal mining areas ecological risks with multiple risk sources, risk receptors and multi-type ecological effects.

scholarly journals Response of Maize Grown on Overburden Soil in a Coal Mining Area without Top Soil to Various Compost Sources

2016 ◽  
Vol 20 (2) ◽  
pp. 95
Author(s):  
Erry Purnomo
Keyword(s):  
Soil Fertility ◽  
Coal Mining ◽  
Maize Yield ◽  
Mining Area ◽  
Application Rate ◽  
Open Pit ◽  
Kitchen Waste ◽  
Coal Mining Area ◽  
Top Soil ◽  
Overburden Soil

Soil in Kalimantan Island is considered infertile. To obtain a reasonable crop yield a high input fertilizer package should be applied. The situation will be worsening when an open pit system of coal mining adopted. Failure in re-arranging the soil layers can result in decreasing soil fertility compared to original soil prior to mining. This study aimed to determine the improvement of soil fertility of a disposal without top soil by using composts from various sources, namely, the public garbage pile, commercial compost, and compost from kitchen waste. The experiment was conducted in a disposal area of a coal mining of PT AI. A series of application rate of compost was set. This was 0, 5, 10, and 20 tonne compost ha-1. A plot with top soil was involved for another control. Maize was selected as the plant indicator to evaluate the effect of treatments applied. It can be concluded that application of composts to reclamation area without top soil significantly improve soil fertility. Among the composts used, K-compost (compost from kitchen waste) was the best in improving soil fertility. There were some characters of the compost that had not enough to support maize yield. These were P, K, and pH. Addition of P and K fertilizers and lime material are needed. Of the equation coefficients obtained, the b coefficient of equation belong to K-compost was higher than of the others.

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 THE GROWTH OF LOCAL TREE SPECIES ON POST-COAL MINING AREAS IN EAST KALIMANTAN

2020 ◽  
Vol 7 (2) ◽  
pp. 83-97
Author(s):  
Burhanuddin Adman ◽  
Ardiyanto Wahyu Nugroho ◽  
Ishak Yassir
Keyword(s):  
Coal Mining ◽  
Tree Species ◽  
Extreme Temperature ◽  
Mining Area ◽  
High Survival ◽  
Mining Areas ◽  
Coal Mining Area ◽  
East Kalimantan ◽  
Survival And Growth ◽  
Made In

Post-coal mining areas need rehabilitation to restore its functionality. Not all plants could grow well on bare ex-coal mining area because of the excessive light intensity and extreme temperature fluctuations. This study is aimed to determine suitable local tree species for rehabilitating mined areas. Planting was carried out in November 2012, and observations were made in November 2015. The study site was in the district of Samboja, Kutai Kartanegara, East Kalimantan Province, Indonesia. Research results revealed that seven tree species survived well in the ex-coal mining land, i.e., Vitex pinnata L., Syzygium scortechinii (Merr.) Merr. & Perry, Syzygium polyanthum (Wight) Walp., Shorea balangeran (Korth.) Burck, Macaranga motleyana (Mull.Arg.) Mull.Arg., Cleistanthus myrianthus (Hassk.) Kurz and Syzygium lineatum (DC.) Merr. & L.M. Perry. From the seven species V. pinnata, Sy. scortechinii and Sy. polyanthum performed best in both survival and growth rates. This study suggests those three species are excellent local tree species for ex-coal mining rehabilitation, not only because of their high survival rate (≥80%) and fast-growing but also they produce favourable fruits and flowers for wildlife.

Groundwater use by plants in a semi-arid coal-mining area at the Mu Us Desert frontier

2012 ◽  
Vol 69 (3) ◽  
pp. 1015-1024 ◽  
Author(s):  
Wang Li ◽  
Mu Yan ◽  
Zhang Qingfeng ◽  
Zhang Xingchang
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Mu Us Desert ◽  
Groundwater Use ◽  
Coal Mining Area ◽  
Semi Arid

Information Required for Estimating The Indicator of Forest Reclamation Success in Ex Coal-Mining Area

2016 ◽  
Vol 3 (1) ◽  
pp. 182
Author(s):  
Hasriani Muis ◽  
I Nengah Surati Jaya ◽  
Muhammad Buce Saleh ◽  
Kukuh Murtilakono
Keyword(s):  
Discriminant Analysis ◽  
Coal Mining ◽  
Basal Area ◽  
Mining Area ◽  
Site Quality ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Key Indicator ◽  
Forest Reclamation ◽  
Key Indicators

<p>This paper describes how the information of the key indicators for assessing the degree of forest reclamation success in ex coal-mining area was identified. Those indicators were analyzed using the descriptive statistic as well as the discriminant analysis on the basis of biophysical data representing age class of vegetation after reclamation. The main objective of the study was to find out the predominant key indicator that determines the success of forest reclamation in ex coal-mining areas. This study found that the variance of basal area, green biomass and increment was relatively high between young plantation and old plantation. The study confirmed that the variation of the success of reclamation was strongly influenced by site quality. . The study concluded that the best indicators to be used for assessing the success of forest reclamation was the increment providing accuracy more than 79.6% either for indicator five or three classes.</p>

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

2021 ◽  
Vol 13 (24) ◽  
pp. 5168
Author(s):  
Baodong Ma ◽  
Xiangru Yang ◽  
Yajiao Yu ◽  
Yang Shu ◽  
Defu Che
Keyword(s):  
Chlorophyll Content ◽  
Vegetation Change ◽  
Remote Sensing Data ◽  
Mineral Resources ◽  
Mining Area ◽  
Liaoning Province ◽  
Open Pit ◽  
Mining Activities ◽  
Mining Areas ◽  
Leaf Chlorophyll

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.

scholarly journals Formasi Sosial di Desa Kerta Buana: Transformasi dari Masyarakat Pertanian menjadi Masyarakat Pertambangan

2020 ◽  
Vol 22 (3) ◽  
Author(s):  
Robert Siburian
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Home Garden ◽  
Mining Method ◽  
Social Formation ◽  
Economic Activities ◽  
Irrigated Rice ◽  
Coal Mining Area

Community in Kerta Buana village developed by Indonesia government in 1980 through transmigration program were farmers. Meanwhile, farmland which received of transmigrant that time was 1¾ hectare (ha); one hectare of the land is for tidally irrigated rice, and ¾ hectare of the land is for dryland crop. Biside that, each transmigrant also received ¼ hectare land for home garden. Through the land which was given by government to transmigrants, before 2000, Kerta Buana village could be created as centre of paddys for Tenggarong Seberang subdistrict result of some paddyfield which made of transmigrants. However, effect of coal mining expantion and change of mining method from underground pit mining to open pit mining, center of paddys term move slowly become center of mine holes, it consequence so many mine holes are open because they are not reclaimed. Social formation of the community also changes from agriculture activity whose ever to dominate activity there to activity is whole depent coal mining activity dynamic in Kerta Buana village and its surrounding. This paper tries to explain social formation dynamic happening there as the attendance of mining business who sponsored by government through some permits given to many companies which able to change transmigration area with agriculture activity becoming coal mining area with varians of economic activities together.      

scholarly journals Concept and Practice of Open-pit Mining Area Restoration and Reuse --- Taking an Open-pit Coal Mining Area in Datong, Shanxi as an Example

2020 ◽  
Vol 145 ◽  
pp. 02014
Author(s):  
Huang Jiayin ◽  
Hu Baoan ◽  
Tan Xiangjun ◽  
Cheng Jin ◽  
Li Long
Keyword(s):  
Coal Mine ◽  
Geographical Location ◽  
Mining Area ◽  
Cultural Tourism ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Rural Revitalization ◽  
Mining Coal

The restoration of open-pit mining coal mine areas is imminent, and it is of great significance to put forward a set of reasonable restoration concepts. According to the geographical location and economic conditions of the mining areas, this paper combines multiple restoration concepts and measures such as “fundamental reforestation”, “near-natural restoration”, “introduction of agricultural and forestry industries” and “development of cultural tourism in abandoned land” in a scientific way, the combination has been successfully applied in the restoration and comprehensive utilization project in an open-pit coal mine area in Datong, Shanxi, China. This concept realizes the reuse of abandoned open-pit coal mines and closely follows the national strategy of poverty alleviation and rural revitalization, in pursuit of the national vision of “clear waters and green mountains are mountains of gold and silver.”

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

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.

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