Application of machine learning in groundwater quality modeling-A comprehensive review
Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …
prediction of groundwater pollution due to various chemical components is vital for planning …
Sustainable water resource management through conjunctive use of groundwater and surface water: A review
R Sabale, B Venkatesh, M Jose - Innovative Infrastructure Solutions, 2023 - Springer
The estimations and projections for the global population show that the population is rising
dramatically. Because of this, meeting the demands for infrastructure, food, and domestic …
dramatically. Because of this, meeting the demands for infrastructure, food, and domestic …
A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system
Z Chen, H Xu, P Jiang, S Yu, G Lin, I Bychkov… - Journal of …, 2021 - Elsevier
In recent years, water quality monitoring has been crucial to improve water resource
protection and management. Under the relevant laws and regulations, environmental …
protection and management. Under the relevant laws and regulations, environmental …
Machine learning approach to evaluate the groundwater quality and human health risk for sustainable drinking and irrigation purposes in South India
The main purpose of this study was to evaluate the suitability of groundwater for sustainable
drinking and irrigation purposes using various indices, such as the nitrate pollution index …
drinking and irrigation purposes using various indices, such as the nitrate pollution index …
Effects of elevated arsenic and nitrate concentrations on groundwater resources in deltaic region of Sundarban Ramsar site, Indo-Bangladesh region
T Biswas, SC Pal, I Chowdhuri, D Ruidas, A Saha… - Marine Pollution …, 2023 - Elsevier
An attempt has been adopted to predict the As and NO 3− concentration in groundwater
(GW) in fast-growing coastal Ramsar region in eastern India. This study is focused to …
(GW) in fast-growing coastal Ramsar region in eastern India. This study is focused to …
Appraisal of health risks associated with exposure of fluoride and nitrate contaminated springs in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir …
The dearth of drinking water has become a bitter reality and the gap between demand and
supply of water has been growing year by year. By keeping the significance of spring water …
supply of water has been growing year by year. By keeping the significance of spring water …
Applications of soft computing models for predicting sea surface temperature: a comprehensive review and assessment
The application of soft computing (SC) models for predicting environmental variables is
widely gaining popularity, because of their capability to describe complex non-linear …
widely gaining popularity, because of their capability to describe complex non-linear …
[HTML][HTML] Modelling of total dissolved solids in water supply systems using regression and supervised machine learning approaches
Monitoring of water quality through accurate predictions provides adequate information
about water management. In the present study, three different modelling approaches …
about water management. In the present study, three different modelling approaches …
Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer‐Teacher‐Learner‐Based …
Predicting suspended sediment load (SSL) in water resource management requires efficient
and reliable predicted models. This study considers the support vector regression (SVR) …
and reliable predicted models. This study considers the support vector regression (SVR) …
Dynamic Groundwater Contamination Vulnerability Assessment Techniques: A Systematic Review
Assuring the quantity and quality of groundwater resources is essential for the well-being of
human and ecological health, society, and the economy. For the last few decades …
human and ecological health, society, and the economy. For the last few decades …