Article
Environmental Sciences
Moidu Jameela Riyas, Tajdarul Hassan Syed, Hrishikesh Kumar, Claudia Kuenzer
Summary: Public safety and socio-economic development in the Jharia coalfield (JCF) in India critically depend on precise monitoring and comprehensive understanding of coal fires. This study used N-SBAS technique to analyze the spatiotemporal dynamics of coal fires, identifying prominent subsidence areas and temporal variations. The results provide valuable information for developing early warning systems and remediation strategies.
Article
Geosciences, Multidisciplinary
Ashwani Raju, Anjali Singh, Surendra Kumar Chandniha
Summary: Temporal monitoring and understanding of coal fires in the Jharia Coalfield (JCF) using Landsat 8 OLI TIRS data revealed significant increases in affected areas from 2015 to 2019. East Barora, Sijua, Katras, Kusunda, Kustore, Pootkee Balihari, Bastacolla, Jharia, and Lodna are the most affected collieries. The results, integrated with structural attributes and surface thermal anomalies, provide insights into the dynamics of coal fire propagation in JCF.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Remote Sensing
Jungrack Kim, Shih-Yuan Lin, Ramesh P. Singh, Chen-Wei Lan, Hye-Won Yun
Summary: The study used InSAR and LST for time series analysis to identify ground deformations and thermal anomalies caused by underground fires in the Jharia coal mine. Further investigation and modeling are needed to mitigate the environmental impact of these hazards.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Mining & Mineral Processing
Narendra Singh, R. S. Chatterjee, Dheeraj Kumar, D. C. Panigrahi
Summary: In this paper, the spatio-temporal variation and propagation direction of coal fire in the Jharia Coalfield (JCF), India during 2006-2015 were studied using satellite-based night-time land surface temperature (LST) imaging. The study found that the coal fire area increased significantly, primarily propagating along the dip direction of the coal seams with some lateral propagation along the strike direction. Open-cast mining activities and structurally weak planes facilitated the fire propagation.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Debananda Roy, Gurdeep Singh, Sweta Sinha, Joonhong Park, Yong-Chil Seo
Summary: This study utilized an emission inventory technique to identify and quantify the sources of PM10 in the Dhanbad/Jharia coalfield in India, focusing on the atmospheric particulate pollutants generated by open-cast coal mining and its associated activities. Multiple emission sources, both anthropogenic and natural, contribute to the complexity of the study area, with significant amounts of PM10 produced by various sources such as open-cast coal mining, thermal power plants, and vehicle emissions. The findings of this study could serve as a guideline for identifying and quantifying emission sources in critically polluted coal mining complexes globally, for both developing and developed countries.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Ritesh Mujawdiya, R. S. Chatterjee, Dheeraj Kumar
Summary: In this study, long-term MODIS time series LST observations were used to detect and characterize coal fire in Jharia coalfield. The intensity variation of coal fire on an annual basis, such as growing, temporally consistent or diminishing, was analyzed. The results were validated with published literature.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
Ashwani Raju, Kamran Mehdi
Summary: The present study investigates the contextual relationship between coal fire-induced land subsidence in the Jharia Coalfield (JCF), India, using a comprehensive approach. By processing 31 consecutive Sentinel-1A and Landsat 8 scenes of 2018, the mean Line-of-Sight displacement and Land Surface Temperature (LST) in JCF were estimated. The results show significant variation in displacement rate at active mine benches and overburden dump, with high displacement due to additive compression induced by volume reduction at the subsurface. The estimated displacement accounts were spatially correlated with thermally anomalous pixels to determine subsidence categories. Binary Logistic Regression was used to test the contextual relationship between displacement estimates (dependent variable) and a set of explanatory variables, specifically pixel integrated LST. The model's performance was cross-validated using statistical parameters derived from the confusion matrix.
GEOCARTO INTERNATIONAL
(2023)
Article
Geography, Physical
Bing Yu, Jie She, Guoxiang Liu, Deying Ma, Rui Zhang, Zhiwei Zhou, Bo Zhang
Summary: A method for identifying coal fires using remote sensing technology and a coal fire ratio index for evaluating fire severity were proposed in this study. The methods were applied in Urumqi, Xinjiang, China, and demonstrated satisfactory reliability.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Instruments & Instrumentation
Chinmay Mondal, Aditya Pandey, Samir Kumar Pal, Biswajit Samanta, Dibyendu Dutta
Summary: Hyperspectral technology is highly effective in assessing coal quality, leading to an increase in research on coal quality using this technique. A study was conducted on the hyperspectral features, proximate analysis, and gross calorific value of 78 coal samples from different parts of the Jharia and Raniganj basins in India to evaluate coal quality. The study found that all coal samples exhibit well-defined absorption features at different wavelengths. Based on spectral responses, seven wavelength regions were chosen for the study. XGBoost, Random Forest, and Partial-leastsquare techniques were used to capture the relationship between coal spectral absorption features and proximate parameters. The study concluded that the random-forest-based regression model provided the best predictions for ash, moisture, and GCV, while the PLS regression model showed the most accurate predictions for volatile matter.
INFRARED PHYSICS & TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Mohammad Asif, Lei Wang, D. C. Panigrahi, Keka Ojha, Randy Hazlett
Summary: The primary and secondary recovery of coalbed methane (CBM) were studied in this paper. The adsorption isotherm of CH4 was used to analyze the primary recovery, while the CO2-ECBM process was simulated for the secondary recovery. The results showed that the CO2-ECBM process could enhance gas recovery. A 3D coalbed model was constructed to demonstrate the potential of this technique. The study found that coalbed reservoirs can economically implement the CO2-ECBM technology.
SCIENTIFIC REPORTS
(2022)
Article
Thermodynamics
Xiao-jiao Cheng, Hu Wen, Yan-hui Xu, Shi-xing Fan, Shuai-jing Ren
Summary: Through accurate positioning and regional division of coal fire sources, combined with the application of multiple technologies, an economical and efficient plan for coal fire control and extinguishing was developed. This successful application solved the coal fire disasters in Liujiamao and Qian'an mines, providing theoretical and technical support for similar situations.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Environmental Sciences
Shanti Swarup Biswal, Amit Kumar Gorai
Summary: The study analyzed the dynamics of coal fires in JCF from 1989 to 2019 and found that the coverage area of fire zones continuously increased. New fire zones developed in a non-specific direction possibly due to multiple factors and the existence of more mines.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2021)
Article
Remote Sensing
Vamshi Karanam, Mahdi Motagh, Shagun Garg, Kamal Jain
Summary: The study used satellite imagery to investigate the impact of coal fires on subsidence in the Jharia Coalfields in India. Results showed a strong positive correlation between subsidence velocity and temperature anomaly, with critically affected zones identified as Kusunda, Keshalpur, and Bararee collieries.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Jinchang Deng, Shaokun Ge, Haining Qi, Fubao Zhou, Bobo Shi
Summary: The study reveals that long-term spontaneous combustion of coal can have serious impacts on the atmosphere, prompting increased research attention. Through field surveys and modeling analysis, it was found that air pollution in coal fire areas is mainly influenced by combustion conditions and thermophysical parameters. Factor analysis indicates that these areas are primarily affected by sulfur oxides pollution.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Gang Yuan, Yunjia Wang, Feng Zhao, Shiyong Yan, Hua Zhang, Fengkai Lang, Ming Hao, Fei Cao, Bin Peng, Libo Dang, Yougui Feng
Summary: Underground coal fires are global catastrophes that have significant effects on energy, carbon emissions, and the environment. Remote sensing detection, especially thermal infrared remote sensing, is important for underground coal fire extinguishing engineering. However, there is a lack of precise location methods for small-scale subsurface fire sources, and the spatiotemporal correlations between thermal anomalies and underground fire sources have not been thoroughly discussed. This study proposes a 3-D empirical Bayesian Kriging method to reconstruct the temperature fields of underground fire sources and analyzes the feasibility of inferring subsurface fire sources using thermal anomalies detected by unmanned aerial vehicle and satellite thermal infrared remote sensing. The study also analyzes the spatiotemporal correlation characteristic between thermal anomalies and subsurface fire sources.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geography, Physical
Vibhor Agarwal, Tobias Bolch, Tajdarul H. Syed, Tino Pieczonka, Tazio Strozzi, Rishabh Nagaich
JOURNAL OF GLACIOLOGY
(2017)
Article
Environmental Sciences
R. K. Ray, T. H. Syed, Dipankar Saha, B. C. Sarkar, D. V. Reddy
ENVIRONMENTAL EARTH SCIENCES
(2017)
Article
Environmental Sciences
Satya Narayan Sethy, Tajdarul H. Syed, Alok Kumar
ENVIRONMENTAL EARTH SCIENCES
(2017)
Article
Multidisciplinary Sciences
Shashank Bhushan, Tajdarul H. Syed, Anthony A. Arendt, Anil V. Kulkarni, Debanjan Sinha
SCIENTIFIC REPORTS
(2018)
Article
Environmental Sciences
Rambabu Singh, A. S. Venkatesh, Tajdarul H. Syed, L. Surinaidu, Srinivas Pasupuleti, S. P. Rai, Manoj Kumar
ENVIRONMENTAL EARTH SCIENCES
(2018)
Review
Geosciences, Multidisciplinary
Tajdarul Hassan Syed, Moidu Jameela Riyas, Claudia Kuenzer
EARTH-SCIENCE REVIEWS
(2018)
Article
Engineering, Civil
Debanjan Sinha, Tajdarul H. Syed, John T. Reager
JOURNAL OF HYDROLOGY
(2019)
Article
Geosciences, Multidisciplinary
Ranjan K. Ray, Tajdarul H. Syed, Dipankar Saha, Bhabesh C. Sarkar
HYDROGEOLOGY JOURNAL
(2020)
Article
Environmental Sciences
Aarti Soni, Tajdarul H. Syed
Summary: This study analyzed long-term estimates of evapotranspiration (ET) over four major river basins of India from 1982 to 2014, revealing that water availability (represented by precipitation and soil moisture) is the main factor influencing the variability of ET in each basin.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Hrishikesh A. Chandanpurkar, John T. Reager, James S. Famiglietti, R. Steven Nerem, Don P. Chambers, Min-Hui Lo, Benjamin D. Hamlington, Tajdarul H. Syed
Summary: The study reveals that the global water cycle primarily occurs between land and ocean, with a seasonal amplitude of 17.0 +/- 0.6 millimeters sea level equivalent. During certain periods, the amplitude can change by as much as 29%.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Moidu Jameela Riyas, Tajdarul Hassan Syed, Hrishikesh Kumar, Claudia Kuenzer
Summary: Public safety and socio-economic development in the Jharia coalfield (JCF) in India critically depend on precise monitoring and comprehensive understanding of coal fires. This study used N-SBAS technique to analyze the spatiotemporal dynamics of coal fires, identifying prominent subsidence areas and temporal variations. The results provide valuable information for developing early warning systems and remediation strategies.
Article
Engineering, Civil
Hrishikesh Kumar, Tajdarul Hassan Syed, Falk Amelung, Ritesh Agrawal, A. S. Venkatesh
Summary: This study utilized datasets from 2007 to 2019 to analyze land subsidence in the National Capital Region of India. The findings suggest that stable groundwater levels can affect the rate of subsidence, while land subsidence continues to occur in the area.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
S. N. Remya, Tajdarul Hassan Syed, Anil Kulkarni, R. Anand
Summary: This study presents a detailed analysis of glaciers in the Alaknanda Basin, Central Himalaya, using high-resolution datasets. The results show that the glacier area has decreased and the number of glaciers has increased in the basin. There has also been a significant increase in the supraglacial debris cover extent of the glaciers. Smaller glaciers with lower altitude snout and higher slope have experienced more significant area loss and higher retreat rate, while topographic parameters and changes in winter-time temperature have influenced the deglaciation and fragmentation in the basin.
GEOCARTO INTERNATIONAL
(2022)
Article
Environmental Sciences
S. N. Remya, Anil V. Kulkarni, Tajdarul Hassan Syed, Harish Chandra Nainwal
Summary: The Himalayan glaciers have a significant impact on major river systems such as the Indus and Ganges. This study used satellite data and other measurements to estimate the elevation change and mass budget of glaciers in the Alaknanda Basin. The results showed sustained mass loss in the region, highlighting the importance of understanding glacier changes on a multi-decadal scale.
GEOCARTO INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
Rambabu Singh, Tajdarul H. Syed, Suresh Kumar, Manoj Kumar, A. S. Venkatesh
ARABIAN JOURNAL OF GEOSCIENCES
(2017)