scholarly journals ENVIRONMENTAL QUALITY ON SURROUNDING COMMUNITY OF COAL MINING AREA IN SAMARINDA, EAST KALIMANTAN, INDONESIA

2019 ◽  
Vol 5 (4) ◽  
pp. 91-98
Author(s):  
Ike Anggraeni ◽  
Annisa Nurrachmawati ◽  
Riza Hayati Ifroh ◽  
Andi Anwar ◽  
Siswanto Siswanto
Keyword(s):  
Air Quality ◽  
Water Sample ◽  
Coal Mining ◽  
Environmental Quality ◽  
Normal Condition ◽  
Oxygen Demand ◽  
Mining Area ◽  
Quality Parameters ◽  
Coal Mining Area ◽  
The Impact

Background: The massive exploration of coal in Samarinda could lead to various environmental consequences, such as metal contamination of soil, toxic materials and sediments in rivers and air pollution. Scanning and exploring the impact of mining on environmental quality will strategic to develop and carry out rehabilitation on damaged ecosystems and as a preventive and adaptive action of the community in responding the threat of global environmental change.Objective: This paper mainly focused on determining environmental quality based on water and air quality parameters (sulfur dioxide/SO2, Nitrogen dioxide/NO2, Carbon monoxide CO and TSP/dust) also determining community perception about the environment.Methods: Water sample taken from Betapus river (upstream and downstream) and well. Air sample taken around residential in coal mining area. Household survey of 305 respondents conducted in five community neighborhoods in area that affected by mining activities. In general, the air quality parameters such as SO2, NO2, CO and TSP at normal condition.Result: The measurement result of wells water revealed that only the pH (power of hydrogen) at normal condition, while BOD (Biochemical Oxygen Demand), COD (Chemical Oxygen Demand), Iron (Fe) exceed the threshold and almost all water sample exceeds the threshold in Manganese (Mn). The results of river quality in pH and COD showed that both in the upstream, midstream and downstream on normal condition, while Fe, COD exceeds the threshold. The BOD in the upper, middle parts of the river exceed the threshold.Conclusion: This study found that there had been anomaly in water environment compounds. These indicate that mining has led to the occurrence of water pollution. Therefore, needs reevaluation analysis of environmental impacts document of the mining companies in Bayur Village. It is also important to treating Mn and Fe of well or river water, especially if the water use for drinking.

scholarly journals Evaluation of Eco-environmental Quality of Coal Mining Area Using Multi-source Data – A Case Regarding Ibei Coalfield, Northwestern China

2021 ◽  
Author(s):  
Huan Jiang ◽  
Gangwei Fan ◽  
Dongsheng Zhang ◽  
Yibo Fan
Keyword(s):  
Spatial Autocorrelation ◽  
Environmental Protection ◽  
Coal Mining ◽  
Environmental Quality ◽  
Coal Mine ◽  
Evaluation System ◽  
Projection Pursuit ◽  
Mining Area ◽  
Coal Mining Area ◽  
The Impact

Abstract Eco-environmental evaluation is a prerequisite for balancing the relationship between coal resource recovery and eco-environmental protection. This paper divides the eco-environment system in coal mining area into 5 subsystems regarding geomorphology, climate, hydrology, land and vegetation, and human activity. Within the 5 subsystems, 13 indicators capable of reflecting eco-environment levels of coal mine fields are selected, weighed using genetic projection pursuit model, and applied to eco-environmental quality evaluation. Based on this, the spatial feature of the quality is analysed using spatial autocorrelation method, recognising the areas that need managements. Factors driving the eco-environment characteristics of coal mines are identified using geographic detector. The feasibility of the developed evaluation system is verified with Ibei Coalfield as a case. The results show that Ibei Coalfield sees a spatially heterogeneous eco-environment pattern. Geographic detector can quantify the impact of various indicators on ecological environment, and the indicator is of stronger interpretation ability as interacting with others. It is also indicated that mining area eco-environment is nonlinearly correlated to impact indicators. The spatial autocorrelation analysis suggests three areas that should be treated strategically, that are the management area, close attention area and protective area. This paper can provide scientific references for mining area eco-environmental protection, which is significant for the sustainability of coal mine projects.

scholarly journals Evaluation of Ecological Environmental Quality in a Coal Mining Area by Modelling Approach

2017 ◽  
Vol 9 (8) ◽  
pp. 1265 ◽  
Author(s):  
Chaodong Yan ◽  
Hongjun Dai ◽  
Wen Guo
Keyword(s):  
Coal Mining ◽  
Environmental Quality ◽  
Mining Area ◽  
Coal Mining Area ◽  
Modelling Approach

The impact of environmental factors on the diversity of gastropod communities in sinkhole ponds in a coal mining region (Silesian Upland, Southern Poland)

Biologia ◽  
2014 ◽  
Vol 69 (6) ◽  
Author(s):  
Małgorzata Strzelec ◽  
Mariola Krodkiewska ◽  
Anna Królczyk
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Water Bodies ◽  
Total Organic Matter ◽  
Gastropod Species ◽  
Southern Poland ◽  
Coal Mining Area ◽  
Sandy Sediments ◽  
The Impact ◽  
Eleven Species

AbstractStudies on the diversity of gastropod fauna were carried out in ten sinkhole ponds with varied sediments types, which were located in a coal mining area (Silesian Upland, Southern Poland). The water bodies with different bottom types were distinguished by their dissimilar water properties and the total organic matter in the sediment. A total of 11 gastropod species from four families were identified. Eleven species occurred in sinkhole ponds with a coal shale bottom, while in water bodies with sandy sediments nine species were found. The gastropod diversity and abundance were lower in water bodies with sandy sediments compared to the ponds with a coal shale bottom. Canonical correspondence analysis (CCA) showed the important factors that influence the gastropod distribution in the subsidence ponds that were studied.

Blood markers among residents from a coal mining area

2020 ◽  
Vol 28 (2) ◽  
pp. 1409-1416
Author(s):  
Ana Paula Bigliardi ◽  
Caroline Lopes Feijo Fernandes ◽  
Edlaine Acosta Pinto ◽  
Marina dos Santos ◽  
Edariane Menestrino Garcia ◽  
...  
Keyword(s):  
Coal Mining ◽  
Mining Area ◽  
Coal Mining Area
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