Application of machine learning in groundwater quality modeling-A comprehensive review

R Haggerty, J Sun, H Yu, Y Li - Water Research, 2023 - Elsevier
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 …

Application of irrigation water quality indices and multivariate statistical techniques for surface water quality assessments in the Northern Nile Delta, Egypt

S Elsayed, H Hussein, FS Moghanm, KM Khedher… - Water, 2020 - mdpi.com
Under sustainable development conditions, the water quality of irrigation systems is a
complex issue which involves the combined effects of several surface water management …

Application of soft computing models for simulating nitrate contamination in groundwater: comprehensive review, assessment and future opportunities

M Haghbin, A Sharafati, B Dixon, V Kumar - Archives of computational …, 2021 - Springer
Groundwater is one of the major resources to supply the agriculture and urban water
demand. Vulnerability of groundwater resources due to chemical substances is a crucial …

Susceptibility prediction of groundwater hardness using ensemble machine learning models

A Mosavi, FS Hosseini, B Choubin, M Abdolshahnejad… - Water, 2020 - mdpi.com
Groundwater resources, unlike surface water, are more vulnerable to disturbances and
contaminations, as they take a very long time and significant cost to recover. So, predictive …

Application of artificial neural network for forecasting nitrate concentration as a water quality parameter: a case study of Feitsui Reservoir, Taiwan

SD Latif, MSBN Azmi, AN Ahmed… - … journal of design & …, 2020 - research.monash.edu
Water resources play a vital role in various economies such as agriculture, forestry, cattle
farming, hydropower generation, fisheries, industrial activity, and other creative activities, as …

Forecasting models for surface water quality using predictive analytics

GTN Veerendra, B Kumaravel, PKR Rao, S Dey… - Environment …, 2024 - Springer
Modeling surface water quality has become crucial in providing better strategies for
managing surface water resources, and adequate findings need accurate and …

Hydrological Performance Assessment of Low-Impact Development Practices: A Vegetated Swale Case Study

K Lhamidi, J El Khattabi, HD Nguyen, A Aljer - Water, 2024 - mdpi.com
The increase in rainfall intensity caused by climate change, combined with high levels of
urban soil sealing and the limited capacity of drainage systems, is significantly increasing …

A machine learning-based approach to predict groundwater nitrate susceptibility using field measurements and hydrogeological variables in the Nonsan Stream …

JM Lee, KS Ko, K Yoo - Applied Water Science, 2023 - Springer
Identifying and predicting the nitrate inflow and distribution characteristics of groundwater is
critical for groundwater contamination control and management in rural mixed-land-use …

Optimised neural network model for river-nitrogen prediction utilizing a new training approach

P Kumar, SH Lai, NS Mohd, MR Kamal, HA Afan… - PLoS …, 2020 - journals.plos.org
In the past few decades, there has been a rapid growth in the concentration of nitrogenous
compounds such as nitrate-nitrogen and ammonia-nitrogen in rivers, primarily due to …

Key hydrological process of a multiple aquifer flow system in the mining area of Huaibei plain, Eastern China

Q Ju, Y Hu, Q Liu, Y Liu, T Hu - Applied Geochemistry, 2022 - Elsevier
Groundwater resource protection and use are major challenges for the development of the
coal industry in the long term. It is therefore crucial to investigate hydrogeochemical …