Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India

SC Pal, D Ruidas, A Saha, ARMT Islam… - Journal of cleaner …, 2022 - Elsevier
In water resource management and pollution control research, prediction of nitrate
concentration in groundwater gets utmost priority in the last few years. Thus, our current …

Measures for reducing nitrate leaching in orchards: A review

M Cui, L Zeng, W Qin, J Feng - Environmental Pollution, 2020 - Elsevier
Nitrogen (N) is one of the most important nutrients for plant growth. However, improper
management of N fertilization in agriculture has led to a large amount of nitrate leaching …

Data-driven machine learning in environmental pollution: gains and problems

X Liu, D Lu, A Zhang, Q Liu, G Jiang - Environmental science & …, 2022 - ACS Publications
The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

Ensemble boosting and bagging based machine learning models for groundwater potential prediction

A Mosavi, F Sajedi Hosseini, B Choubin… - Water Resources …, 2021 - Springer
Due to the rapidly increasing demand for groundwater, as one of the principal freshwater
resources, there is an urge to advance novel prediction systems to more accurately estimate …

A comparative analysis of statistical and machine learning techniques for map** the spatial distribution of groundwater salinity in a coastal aquifer

H Sahour, V Gholami, M Vazifedan - Journal of Hydrology, 2020 - Elsevier
Groundwater salinity in an aquifer system is typically measured through field studies (eg,
groundwater sampling, and direct current resistivity method). The field-based measurements …

[HTML][HTML] Groundwater vulnerability assessment using GIS-based DRASTIC model in Nangasai River Basin, India with special emphasis on agricultural contamination

A Bera, BP Mukhopadhyay, P Chowdhury… - Ecotoxicology and …, 2021 - Elsevier
Nangasai basin is a semi-arid watershed where agriculture is the main source of economy.
In present day, increasing population demands increase in food productivity which leads to …

Groundwater vulnerability and contamination risk map** of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques

A Bera, BP Mukhopadhyay, S Das - Chemosphere, 2022 - Elsevier
Totko river basin is a semi-arid watershed, which undergoes severe water crisis during the
dry season. Presently, due to increase in population, demand of food has increased leading …

Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer

H Yu, Q Wu, Y Zeng, L Zheng, L Xu, S Liu, D Wang - Journal of Hydrology, 2022 - Elsevier
Accurate and effective assessment of groundwater vulnerability is very important for
ensuring a healthy groundwater ecosystem. We evaluate the vulnerability of shallow porous …

[HTML][HTML] Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms–A case study in the …

J Qun'ou, X Lidan, S Siyang, W Meilin, X Huijie - Ecological Indicators, 2021 - Elsevier
Monitoring the water pollution level in real time is the most critical issue for protecting the
water quality of water reservoirs. Due to the restrictions on flight areas of Unmanned Arial …

Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh

M Jamei, M Karbasi, A Malik, L Abualigah… - Scientific Reports, 2022 - nature.com
The rising salinity trend in the country's coastal groundwater has reached an alarming rate
due to unplanned use of groundwater in agriculture and seawater see** into the …