scholarly journals Environmental impact control of coal mining activities in Kandangan Lama, South Kalimantan through calculating post-mining costs

2021 ◽  
Vol 824 (1) ◽  
pp. 012102
Author(s):  
R Yuliyani ◽  
Suryanto ◽  
I G A K R Handayani
Keyword(s):  
Environmental Impact ◽  
Coal Mining ◽  
Mining Activities

ENVIRONMENTAL IMPACT OF COAL MINING

2020 ◽  
Author(s):  
Наталья Алексеевна Бойко ◽  
Наталья Владимировна Ромашева
Keyword(s):  
Environmental Impact ◽  
Organizational Structure ◽  
Coal Mining ◽  
Negative Impact ◽  
Coal Industry ◽  
Coal Production ◽  
Atmospheric Air

Представлена характеристика угольной отрасли России по таким направлениям как организационная структура, объем и регионы добычи, потребители угля. Выявлены положительные тенденции, определены проблемы в развитии угольной промышленности. Исследованы негативное воздействие угольного производство на такие компоненты окружающей среды, как атмосферный воздух, водные ресурсы, земная поверхность. The characteristic of the Russian coal industry in such areas as the organizational structure, volume and regions of production, coal consumers has been presented. Positive trends and problems in the development of the coal industry have been identified. The negative impact of coal production on environmental components such as atmospheric air, water, the earth’s surface has been investigated.

Mercury speciation and distribution in Aha Reservoir which was contaminated by coal mining activities in Guiyang, Guizhou, China

2011 ◽  
Vol 26 (2) ◽  
pp. 213-221 ◽  
Author(s):  
Xinbin Feng ◽  
Weiyang Bai ◽  
Lihai Shang ◽  
Tianrong He ◽  
Guangle Qiu ◽  
...  
Keyword(s):  
Coal Mining ◽  
Mercury Speciation ◽  
Mining Activities

scholarly journals Ecological impact of coal mines on lichens: A case study at Moghla coal mines Kalakote (Rajouri), J&K

2009 ◽  
Vol 1 (1) ◽  
pp. 24-26 ◽  
Author(s):  
Sangeeta Charak ◽  
Mukhtar A. Sheikh ◽  
Anil K. Raina ◽  
D. K. Upreti
Keyword(s):  
Coal Mining ◽  
Ecological Impact ◽  
Coal Mines ◽  
Forest Area ◽  
Mining Activities ◽  
Quantitative Parameters ◽  
Open Coal

The data on the frequency, density and abundance of the lichens growing around the Moghla Coal mines, Kalakote has been recorded and compared with lichens growing in a forest area away from the coal mines to work out effect of coal mines on the diversity and distribution of lichens. The data revealed that pollutants released by the open coal mining activities not only effected qualitative distribution but also have effect on the quantitative parameters. Over all 10 species of lichens belonging to 9 genera and 6 families have been recorded from the vicinity of coal mines as compared to 15 species, belonging to 9 genera and 7 families, recorded from the forest area.

scholarly journals DETECTING THE AREA DAMAGE DUE TO COAL MINING ACTIVITIES USING LANDSAT MULTITEMPORAL (Case Study: Kutai Kartanegara, East Kalimantan)

2018 ◽  
Vol 14 (2) ◽  
pp. 151
Author(s):  
NFn Suwarsono ◽  
Nanik Suryo Haryani ◽  
Indah Prasasti ◽  
Hana Listi Fitriana ◽  
M. Priyatna ◽  
...  
Keyword(s):  
Change Detection ◽  
Coal Mining ◽  
Coal Mine ◽  
Vegetation Index ◽  
Detection Method ◽  
Land Reclamation ◽  
Environmental Damage ◽  
Mining Activities ◽  
Landsat Data ◽  
East Kalimantan

Coal is one of the most mining commodities to date, especially to supply both national and international energy needs. Coal mining activities that are not well managed will have an impact on the occurrence of environmental damage. This research tried to utilize the multitemporal Landsat data to analyze the land damage caused by coal mining activities. The research took place at several coal mine sites in East Kalimantan Province. The method developed in this research is the method of change detection. The study tried to know the land damage caused by mining activities using NDVI (Normalized Difference Vegetation Index), NDSI (Normalized Difference Soil Index), NDWI (Normalized Difference Water Index) and GEMI (Global Environment Monitoring Index) parameter based change detection method. The results showed that coal mine area along with the damage that occurred in it can be detected from multitemporal Landsat data using NDSI value-based change detection method. The area damage due to coal mining activities  can be classified into high, moderate, and low classes based on the mean and standard deviation of NDSI changes (ΔNDSI). The results of this study are expected to be used to support government efforts and mining managers in post-mining land reclamation activities.

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