Water quality index assessment of river ganga at haridwar stretch using multivariate statistical technique
Abstract The Ganges (Ganga) river contributes significant water resources for the ecology
and economy, but it frequently encounters severe deterioration due to cumulative impact …
and economy, but it frequently encounters severe deterioration due to cumulative impact …
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India
The urgency to protect natural water resources in a sustainable manner has risen as water
scarcity and global climate change continue to worsen. Among various methods of collecting …
scarcity and global climate change continue to worsen. Among various methods of collecting …
Blue space resilient urban planning to enhance severely distressed thermal environment
Water resilience is a vital aspect of current smart city planning. Maintaining the quality and
volume of urban blue spaces can benefit local ecology, environment, and social well-being …
volume of urban blue spaces can benefit local ecology, environment, and social well-being …
Groundwater quality index development using the ANN model of Delhi Metropolitan City, India
Groundwater is widely recognized as a vital source of fresh drinking water worldwide.
However, the rapid, unregulated population growth and increased industrialization, coupled …
However, the rapid, unregulated population growth and increased industrialization, coupled …
Spatiotemporal and vertical variability of water quality in lentic small water bodies: implications of varying rainfall and land use conditions
Lentic small water bodies (LSWBs) deteriorate owing to anthropogenic activities, such as
untreated domestic and agricultural waste disposal. Moreover, different turnover …
untreated domestic and agricultural waste disposal. Moreover, different turnover …
Climate uncertainty and vulnerability of urban flooding associated with regional risk using multi-criteria analysis in Mumbai, India
The study made a comprehensive effort to examine climatic uncertainties at both yearly and
monthly scales, along with map** flood risks based on different land use categories …
monthly scales, along with map** flood risks based on different land use categories …
Comprehensive Analysis of Modified Heavy Metal Pollution Index and Health Risk Assessment in the Yamuna River of Delhi, India: Crucial Study for Environmental …
Abstract The Yamuna River, vital for the sustenance of millions residing in Delhi, is heavily
polluted with toxic heavy metals due to the effects of urbanization, industrialization, and …
polluted with toxic heavy metals due to the effects of urbanization, industrialization, and …
Predicting total upland sediment yield using regression and machine learning models for improved land management and water conservation
SK SM, M Pandey, NV Umamahesh - Journal of Hydroinformatics, 2024 - iwaponline.com
In this study, various regression models were utilized to predict total sediment yield in tons,
while their performance was evaluated for accuracy and reliability. The dataset utilized …
while their performance was evaluated for accuracy and reliability. The dataset utilized …
Evaluating socio-hydrological stress through potential stormwater harvesting sites using multi-criteria analysis in Mumbai, India
Estimating stormwater harvesting (SWH) is a significant characteristic of enhancing regional
water obtainability and thereby preserving water resources. The foremost aim of this study …
water obtainability and thereby preserving water resources. The foremost aim of this study …
Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas
Flash floods, which are influenced by hydro-meteorological conditions, are increasingly
being triggered in the Uttarakhand Himalayas due to human-induced environmental and …
being triggered in the Uttarakhand Himalayas due to human-induced environmental and …