Lal Mohammad
@vidyasagar.ac.in
Vidyasagar University
Lal Mohammad is a brilliant, innovative as well and productive Research Scholar. He completed the Master of Science in Remote Sensing and GIS in 2018 with second position on the basis of merit and was awarded the "Silver Medal" by the Governor of West Bengal in September 2019. He has been pursuing his PhD at the Centre for Environmental Studies, Vidyasagar University since August 2019.
He is looking for productive collaboration in the Remote Sensing and GIS field; Natural Resource Management and Sustainable planning; Atmospheric Pollution and Climate Change Modelling to understand Earth System Science in a quantitative way for the betterment of future Earth.
EDUCATION
Research Scholar; M.Sc. in Remote Sensing & GIS; UGC NET; GATE (Geomatics Engineering)
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Rui Zhao, Chenchen Fan, Alireza Arabameri, M Santosh, Lal Mohammad, and Ismail Mondal
Elsevier BV
Lal Mohammad, Jatisankar Bandyopadhyay, Rubel Sk, Ismail Mondal, Trinh Trong Nguyen, Giuseppe Francesco Cesare Lama, and Duong Tran Anh
Elsevier BV
Lal Mohammad, Ismail Mondal, Jatisankar Bandyopadhyay, Quoc Bao Pham, Xuan Cuong Nguyen, Cham Dao Dinh, and Ayad M. Fadhil Al-Quraishi
Informa UK Limited
Abstract Aerosols are an inextricably linked component of the atmosphere. Nowadays the study of aerosols has attracted the attention of the world community due to the increasing concerns over air pollution and climate change. Aerosol optical depth (AOD) is the measure of aerosols distributed within the atmospheric column from the Earth's surface to the top of the atmosphere. This study was conducted to examine the trend in AOD between latitudes 22° and 24.62° N, and longitudes 83.26° and 87.01° E, covering the entire part of the Indian state of Jharkhand. Mann–Kendall (MK) trend test and Sen’s slope estimator model were used to examining the trend over 18 years (period: 2000–2017) AOD data obtained from satellite-based sensor namely MODIS. The highest AOD was observed in the north-eastern part, while the lowest was observed in the state’s southwestern part. The mean relative percentage change (RPC) analysis showed that the AOD increased from 20 to 60%. Jharkhand State comprises various sub-regions; all the sub-regions, including major cities, have shown a remarkable positive trend. In particular, Dhanbad, Sahibganj, Chaibasa, Jamshedpur, Ranchi, and Hazaribagh demonstrate statistically significant positive trends (99% confidence level). It was observed that the highest positive trend (0.1228) and the lowest negative trend (−0.02587) were in Sahibganj and Gumla districts, respectively. This study revealed a statistically robust significant correlated pattern of AOD with the variability of meteorological factors.
Jatisankar Bandyopadhyay, Lal Mohammad, Ismail Mondal, Kunal Kanti Maiti, Nadhir Al-Ansari, Quoc Bao Pham, Khaled Mohamed Khedher, and Duong Tran Anh
Informa UK Limited
Abstract The Aerosol Optical Depth (AOD) has measured using remote sensing and GIS methods, with MODIS data collected in Jharkhand from 2011 to 2017. The state's eastern and northern borders have greater aerosol loadings (AOD: >0.5) while the southern and western parts have lower aerosol loadings (AOD: <0.3). Primary, secondary, tertiary, and quaternary aerosol sources have been identified and categorized using the Analytic Hierarchical Process (AHP). Only 1.29% of the study area, which still emits the most aerosols, is covered by primary sources. Industrial zones, mining regions, thermal power plants, cement industries, high road density, and stone crushers are found in many locations throughout the country. Secondary sources of aerosols account for 5.23% of the study and are located near the main sources. The quaternary (54.08%) and tertiary (39.4%) aerosol sources mainly covered the Southern, Western, and North-Western portions of the state, which is enveloped by a heavily vegetated region. AOD, sources of aerosols, wind direction, and velocity were examined here. There were non-separable connections in this area and also AOD distribution is connected to aerosol sources, wind direction, and wind velocity. Finally, it employs the AOD values to identify different aerosol kinds and source heterogeneity to elucidate their influence.