A5069173284- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Groundwater and Watershed Analysis
- Soil erosion and sediment transport
- Hydrology and Drought Analysis
- Groundwater and Isotope Geochemistry
- Landslides and related hazards
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Water Quality and Pollution Assessment
- COVID-19 impact on air quality
- Climate variability and models
- Land Use and Ecosystem Services
- Natural Antidiabetic Agents Studies
- Climate change impacts on agriculture
- Phytochemistry and Biological Activities
- Air Quality and Health Impacts
- Ethnobotanical and Medicinal Plants Studies
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Remote Sensing in Agriculture
- Heavy metals in environment
- Natural product bioactivities and synthesis
- Groundwater flow and contamination studies
- COVID-19 Pandemic Impacts
University of Burdwan
2016-2025
J. S. Ayurveda Mahavidyalaya and P.D. Patel Ayurveda Hospital
2023
Tarbiat Modares University
2020
Institute of Medical Sciences and Sum Hospital
2020
Hindu College of Pharmacy
2010-2015
Jadavpur University
2015
Adelphi Research
2015
West Bengal University of Animal and Fishery Sciences
2011-2014
Swami Vivekanand College of Pharmacy
2005-2012
All India Institute of Medical Sciences
1991
Remote sensing and geographical information system (RS-GIS) have become a leading tool for modeling mapping of groundwater resources. An attempt has been made to delineate the potential zones Puruliya district using integrated RS-GIS AHP techniques. All themes their features assigned weights according relative importance normalized were calculated after hierarchical ranking by pair-wise comparison matrix analytical hierarchy process (AHP). Groundwater map prepared through weighted overlay...
Flash flooding is considered one of the most dynamic natural disasters for which measures need to be taken minimize economic damages, adverse effects, and consequences by mapping flood susceptibility. Identifying areas prone flash a crucial step in hazard management. In present study, Kalvan watershed Markazi Province, Iran, was chosen evaluate susceptibility modeling. Thus, detect flood-prone zones this study area, five machine learning (ML) algorithms were tested. These included boosted...
This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES) based on deep learning neural network (DLNN) model and an ensemble particle swarm optimization (PSO) algorithm with DLNN (PSO-DLNN), comparing these approaches common artificial (ANN) support vector machine (SVM) models Shirahan watershed, Iran. For this purpose, 13 independent variables affecting GES the area, namely, altitude, slope, aspect, plan curvature, profile drainage density, distance from...
Recurrent floods are one of the major global threats among people, particularly in developing countries like India, as this nation has a tropical monsoon type climate. Therefore, flood susceptibility (FS) mapping is indeed necessary to overcome natural hazard phenomena. With mind, we evaluated prediction performance FS Koiya River basin, Eastern India. The present research work was done through preparation sophisticated inventory map; eight conditioning variables were selected based on...
The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi Province, Iran. To do this, 512 non-flood locations were identified mapped. Twenty flood-risk factors selected to model using several machine learning techniques: conditional inference random forest (CIRF), gradient boosting (GBM), extreme (XGB) their ensembles. investigate (year 2050) effects changing climates land use on risk, a general circulation (GCM) with representative concentration pathways...
Urbanization is closely associated with land use cover (LULC) changes that correspond to surface temperature (LST) variation and urban heat island (UHI) intensity. Major districts of Bangladesh have a large population base commonly lack the resources manage fast urbanization effects, so any rise in influences both directly indirectly. However, little known about impact rapid on UHI intensity variations during winter dry period major Bangladesh. To this end, we aim quantify spatiotemporal...
Abstract Land use and land cover (LULC) analysis is crucial for understanding societal development assessing changes during the Anthropocene era. Conventional LULC mapping faces challenges in capturing under cloud limited ground truth data. To enhance accuracy comprehensiveness of descriptions changes, this investigation employed a combination advanced techniques. Specifically, multitemporal 30 m resolution Landsat-8 satellite imagery was utilized, addition to computing capabilities Google...
Abstract Landslides pose significant threats to ecosystems, lives, and economies, particularly in the geologically fragile Sub-Himalayan region of West Bengal, India. This study enhances landslide susceptibility prediction by developing an ensemble framework integrating Recursive Feature Elimination (RFE) with meta-learning techniques. Seven advanced machine learning models- Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Extremely Randomized Trees (ET), Gradient...
This study tries to show the groundwater recharge potential zones in groundwater-stressed Goghat-II block, using fuzzy-AHP technique. According central ground water board of India, is only critical block West Bengal. Fuzzy-AHP one widely accepted techniques for multi-criteria decision making. Factors like geology, geomorphology, slope, soil texture, land use cover, net and pond frequency are controlling potentiality this region. Groundwater has been identified by integrating these factors....