A5034069161- Air Quality and Health Impacts
- Vehicle emissions and performance
- Air Quality Monitoring and Forecasting
- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Transportation Planning and Optimization
- Atmospheric Ozone and Climate
- Remote Sensing in Agriculture
- COVID-19 impact on air quality
- Remote Sensing and Land Use
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Spectroscopy and Chemometric Analyses
- Soil Moisture and Remote Sensing
- Landslides and related hazards
- Smart Agriculture and AI
- Fluid Dynamics Simulations and Interactions
- Precipitation Measurement and Analysis
- Ship Hydrodynamics and Maneuverability
- Climate change impacts on agriculture
- Complementary and Alternative Medicine Studies
- Electric Vehicles and Infrastructure
- Environmental and Agricultural Sciences
- Urban and Rural Development Challenges
- Hydrology and Watershed Management Studies
- Spacecraft and Cryogenic Technologies
SRM Institute of Science and Technology
2024
Banaras Hindu University
2024
Utkal University
2021-2023
National Institute of Ayurveda
2022
Central Road Research Institute
2018-2021
Indian Institute of Technology Guwahati
2015-2018
In the present study, Sentinel-1A Synthetic Aperture Radar analysis of time series data at C-band was carried out to estimate winter wheat crop growth parameters. Five different date images were acquired during January 2015–April 2015 stages from tillering ripening in Varanasi district, India. The parameters, i.e. leaf area index, vegetation water content (VWC), fresh biomass (FB), dry (DB) and plant height (PH) estimated using random forest regression (RFR), support vector (SVR), artificial...
In the present study, random forest regression (RFR), support vector (SVR) and artificial neural network (ANNR) models were evaluated for retrieval of soil moisture covered by winter wheat, barley corn crops. SVR with radial basis function kernel was provided highest adj. R2 (0.95) value wheat crop at VV polarization. However, RFR (0.94) polarization using Sentinel-1A satellite data. The values found RFR, linear kernels. least performance reported ANNR model almost all crops under...
Crop classification is needed to understand the physiological and climatic requirement of different crops. Kernel-based support vector machines, maximum likelihood normalised difference vegetation index schemes are attempted evaluate their performances towards crop classification. The linear imaging self-scanning (LISS-IV) multi-spectral sensor data was evaluated for types such as barley, wheat, lentil, mustard, pigeon pea, linseed, corn, sugarcane other crops non-crop water, sand, built up,...
Abstract For the first‐time, analysis of a decade long measurement Black Carbon mass concentration (BC) was carried out at representative central Indo‐Gangetic Plain (IGP) location, Varanasi (25.30°N, 83.03°E, 79 m asl), from 2009 to 2021 understand its physical, optical, and radiative impacts. During 13‐year study period, daily BC found vary between 0.07 46.23 μg −3 (mean 9.18 ± 6.53 ) showed strong inter‐annual intra‐annual variations. The variability significant decreasing trend (−0.47 yr...
Introduction: Road traffic emissions are among the most significant sources of pollution in Douala, Cameroon's economic town, alongside industrial operations. The morning and evening two times day when is heavier winds also at their calmest. majority non-exhaust Particulate Matters (PMs) produced by autos re-suspended road contaminants. purpose this research to estimate fine particle dispersion conditions calm winds. Materials methods: In one Douala's roundabouts, Gaussian Plume model...
Air pollution has become a threat to human life around the world since researchers have demonstrated several effects of air environment, climate, and society. The proposed research was organized in terms National Quality Index (NAQI) pollutants prediction using data mining algorithms for particular timeframe dataset (01 January 2019, 01 June 2021) industrial eastern coastal state India. Over half study period, concentrations PM 2.5 , 10 CO were times higher than NAQI standard limit. NAQI,...
Auto-rickshaw is an important para-transit mode of urban transportation in India. Cheap fair but old technology and adulterated fuel quality make it emission intensive. Therefore, this study aiming the assessment most demanding transportation. The investigated variation rate with respect to operating kinetics by real-world on-road measurements driving profile. video clips screening revealed that owing smaller size auto-rickshaw negotiates traffic, streets weaves through mixed traffic which...
In the present study particulate matter (PM) mass concentrations such as PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</sub> and xmlns:xlink="http://www.w3.org/1999/xlink">10</sub> for winter (November 2016-February 2017) summer (March 2017-May months were observed analyzed. The aerosol optical properties MODIS-Aqua AOD (Aerosol depth) Angstrom Exponent (AE) found significance seasonal variations. Monthly average (-1.00) AE>1were in...
The real-world transportation system is complex in nature, composed of various elements, which are mutually interacting a non-linear way such as roadway infrastructure, traffic-flow management, traffic composition, signal control and local conditions. Any trigger these elements causes frequent interruptions congestions leading to substantial increase commuting time, fuel intake vehicular exhaust emission. study focused on the potential cause consequences congestion, its estimation also...
Present study evaluated the performance of artificial neural network (ANN) algorithm using different learning parameters for various crop classification in Varanasi, India. Satellite images such as Linear Imaging Self Scanning (LISS) IV and Landsat 8 Operational Land Imager (OLI) were used comparative analysis study. The following barley, wheat, lentil, mustard, pigeon pea, linseed, corn, sugarcane other crops non-crop water, sand, built up, fallow land, sparse vegetation dense identified...
Manufacturing and mining sectors are serious pollution sources risk factors that threaten air quality human health. We analyzed pollutants at two study sites (Talcher Brajrajnagar) in Odisha, an area exposed to industrial emissions, the pre-COVID-19 year (2019) consecutive pandemic years, including lockdowns (2020 2021). observed annual data for pollutant concentration increased Talcher: PM2.5 (7–10%), CO (29–35%), NO2 NOx (8–57% Talcher 14–19% Brajrajnagar); while there was slight...