scholarly journals Mapping coal fires using Normalized Difference Coal Fire Index (NDCFI): case study at Khanh Hoa coal mine, Vietnam

2021 ◽  
Vol 6 (4) ◽  
pp. 233-240
Author(s):  
L. H. Trinh ◽  
V. N. Nguyen
Keyword(s):  
Coal Mine ◽  
Land Surface ◽  
Mine Waste ◽  
Coal Mines ◽  
Landsat 8 ◽  
The North ◽  
Coal Fire ◽  
Waste Dumps ◽  
Underground Fire

Khanh Hoa coal mine (Thai Nguyen province) is one of the largest coal mines in the north of Vietnam. For many years, this area suffered from underground fires at coal mine waste dumps, seriously affecting production activities and the environment. This paper presents the results of classification of underground fire areas at Khanh Hoa coal mine using Normalized Diference Coal Fire Index (NDCFI). 03 Landsat 8 OLI_TIRS images taken on December 2, 2013, December 10, 2016, and December 3, 2019 were used to calculate NDCFI index, and then classify the underground fire areas by thresholding method. In the study, the land surface temperature was also calculated from Landsat 8 thermal infrared bands data, and then compared with the results of underground coal fire classification at Khanh Hoa coal mine. The obtained results showed that the NDCFI index can be used effectively in detecting and monitoring underground fire areas at coal mines. The use of the NDCFI index also has many advantages due to its calculation simplicity and rapidness compared to other methods for classifying underground coal fire areas.

Analysis of water chemical characteristics and application around large opencast coal mines in grassland: a case study of the North Power Shengli coal mine

2019 ◽  
Vol 141 ◽  
pp. 149-162
Author(s):  
Suping Peng ◽  
Feisheng Feng ◽  
Wenfeng Du ◽  
Yunlan He ◽  
Shan Chong ◽  
...  
Keyword(s):  
Coal Mine ◽  
Coal Mines ◽  
Chemical Characteristics ◽  
The North ◽  
Opencast Coal Mines

scholarly journals Assessment of Rosa Majalis Herrm-Fruits Contamination with Heavy Metals in Open-Pit Coal Mine Waste Dumps

2015 ◽  
Vol 9 (4) ◽  
Author(s):  
Irina Nikolaevna Egorova ◽  
Olga Alexandrovna Neverova ◽  
Lyubov Sergeevna Dyshlyuk
Keyword(s):  
Heavy Metals ◽  
Coal Mine ◽  
Mine Waste ◽  
Open Pit ◽  
Coal Mine Waste ◽  
Waste Dumps

scholarly journals An estimation of the accuracy of the topoclimate range based on the land surface temperature with reference to a case study of the Drawa National Park, Poland

2020 ◽  
Vol 142 (1-2) ◽  
pp. 369-379
Author(s):  
Marek Półrolniczak ◽  
Aleksandra Zwolska ◽  
Leszek Kolendowicz
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
National Park ◽  
Thermal Conditions ◽  
Landsat 8 ◽  
Digital Maps ◽  
Almost All ◽  
Terra Satellite

Abstract Topoclimate depends on specifically local-scale climatic features caused by the interrelations between topography, water, soil, and land cover. The main purpose of this study is to identify, characterize, and delimit the range of topoclimate types at the Drawa National Park (DPN) and to estimate their accuracy while taking into consideration the thermal conditions of the land surface. Based on a set of digital maps, and with the use of the heat-balance Paszyński method, seven types of topoclimate were distinguished. Next, with the use of Landsat 8 and Terra satellite images, the DPN’s land surface temperature (LST) was calculated. The estimation of LST using the distinguished types of topoclimate allowed for determining their degree of quantity diversification as well as assessing the differences between those types. The obtained LST values indicated statistically significant differences between the medians of LST values for almost all of the distinguished topoclimate types, thereby confirming the suitability of the applied topoclimate determination procedure.

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