Coal Categorisation vis-a-vis Spontaneous Fire Risk

2021 ◽  
pp. 67-113
Author(s):  
Sudhish Chandra Banerjee
Keyword(s):  
2021 ◽  
Author(s):  
Guorui Su ◽  
Baoshan Jia ◽  
Peng Wang ◽  
Ru Zhang ◽  
Zhuo Shen

Abstract To realize the scientific judgment of spontaneous fire risk in the coal mine, the spontaneous fire influence factors were analyzed from the three aspects of coal spontaneous combustion tendency, air leakage, and oxygen supply, heat storage and heat dissipation. And the basis for the evaluation of t spontaneous fire grade was constructed. Combination ordered weighted averaging (COWA) calculation was introduced to optimizes G1 subjective weighting, and a COWA modified G1 combined weighting cloud model was proposed to identify the spontaneous fire risk in the coal mine. Finally, the rationality of the model was verified with actual cases. The research results show that the spontaneous fire risk level in the Lingquan coal mine is relatively safe, which is consistent with the actual situation. And the spontaneous combustion tendency of coal is the leading factor affecting spontaneous fire risk.


2011 ◽  
Vol 17 (6) ◽  
pp. 30-44
Author(s):  
Yu.V. Kostyuchenko ◽  
◽  
M.V. Yushchenko ◽  
I.M. Kopachevskyi ◽  
S. Levynsky ◽  
...  

2020 ◽  
Vol 13 (5) ◽  
pp. 182
Author(s):  
Stanislav Szabo ◽  
Iveta Vajdova ◽  
Edina Jencova ◽  
Daniel Blasko ◽  
Robert Rozenberg ◽  
...  

Author(s):  
S. K. Tomar ◽  
A. Kaur ◽  
H. K. Dangi ◽  
T. Ghawana ◽  
K. Sarma

One of the major challenge from unplanned growth in the cities is the fire incidents posing a serious threat to life and property. Delhi, the capital city of India, has seen unplanned growth of colonies resulting in a serious concern for the relevant agencies. This paper investigates the relation between potential causes of fire incidents during 2013-2016 in South-West Delhi Division of Delhi Fire Services as part of risk analysis using the data about fire stations & their jurisdictions, incidents of fire, water reservoirs available, landuse and population data along with the divisional & sub-divisional boundaries of South-West Delhi division under Delhi Fire Service. Statistical and Geospatial tools have been used together to perform the risk analysis. The analysis reveals that difference in actual occupancy and defined landuse as a part of unplanned growth of settlements is found to be the main reason behind the major fire incidents. The suggested mitigation measures focus on legal, policy, physical & technological aspects and highlight the need to bring the systemic changes with changing scenario of demographics and infrastructure to accommodate more aspects of ground reality.


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