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This study employed an advanced geospatial methodology using the Google Earth Engine (GEE) platform to assess soil erosion in the Satluj Watershed thoroughly. To achieve this, the Revised Universal Soil Loss Equation (RUSLE) model was integrated into the study, which was revealed through several analytical tiers, each with a unique function. The...

This study addresses the concerning mortality of Pinus wallichiana (blue pine), a crucial timber species in the northwestern Himalayas, specifically within the Nanda Devi Biosphere Reserve (NDBR)––a UNESCO world heritage site in India. Hazard prediction mapping was carried out during the study period (2018–2021) using the MaxEnt program and...

India’s national government has offered strong support for the development of green hydrogen as part of the clean energy transition. However, much of the actual progress in this transition will depend on subnational governments. This paper argues India’s subnational governments have significant potential to capitalise on diverse natural resource...

The construction of large-scale infrastructure projects like dams can substantially alter local hydrological systems, prompting concerns about their impacts on river water levels and discharge. This study was undertaken in response to the compelling need to investigate and analyze the potential implications of water scarcity, particularly within...

This study utilises a comprehensive, multi-layered approach to assess flooding susceptibility in a specific area, integrating diverse environmental datasets such as JRC Global Surface Water, Landsat 8 images, and SRTM elevation data. Employing the GEE FMA, a powerful tool leveraging Google Earth Engine capabilities, the analysis covers water...

This study conducts a comprehensive analysis of hydrological patterns in the Kalisindh and Parbati Rivers, highlighting the Eastern Rajasthan Canal Project (ERCP) as pivotal for bolstering regional water security. Employing an array of data sources, this research utilizes Polynomial Regression and neural network forecasting to dissect flow patterns...

Coastal aquifers are hydraulically connected to the sea and a storm (cyclone/hurricane) can disrupt the surface water-groundwater (SW-GW) interaction process which is largely unexplored. Thus, this study aims to explore the impact of storm surges (both positive and negative) on coastal aquifers, focusing on pollutant mobilization, groundwater level...

Groundwater is crucial for agriculture, domestic use, and industry. This study represents groundwater potential zones in the Amravati district, Maharashtra, India, using the analytical hierarchy process (AHP) and multi-influencing factor (MIF) techniques. These techniques are employed for a detailed spatial analysis, which is essential for...

There has been a growing concern over the occurrence of fluoride (F−) in groundwater and the impact of F− exposure on human health issues over the past decades. So, this study conducted a regional–scale assessment of the occurrence and trend of groundwater F− distribution [2014–2018] integrated with locally field–based investigations on F− exposure...

This study assessed the hydropower potential of a mountain watershed within the Sunkoshi River basin in Sindupalchok, Nepal, utilizing Geographic Information Systems (GIS) and the Soil and Water Assessment Tool (SWAT) hydrological model. Topographical, soil and land use, meteorological, and discharge data were employed to characterize the study...