Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches

A Aldrees, M Khan, ATB Taha, M Ali - Journal of Water Process …, 2024 - Elsevier
Water quality indexes (WQI) are pivotal in assessing aquatic systems. Conventional
modeling approaches rely on extensive datasets with numerous unspecified inputs, leading …

[HTML][HTML] Predicting quality parameters of wastewater treatment plants using artificial intelligence techniques

E Aghdam, SR Mohandes, P Manu, C Cheung… - Journal of Cleaner …, 2023 - Elsevier
Estimating wastewater treatment plants'(WWTPs) influent parameters such as 5-day
biological oxygen demand (BOD 5) and chemical oxygen demand (COD) is vital for …

[HTML][HTML] A sophisticated model for rating water quality

MG Uddin, S Nash, A Rahman, AI Olbert - Science of the Total Environment, 2023 - Elsevier
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …

Extent of anthropogenic influence on groundwater quality and human health-related risks: an integrated assessment based on selected physicochemical …

JC Egbueri, JC Agbasi, DA Ayejoto, MI Khan… - Geocarto …, 2023 - Taylor & Francis
The majority of people living on earth rely on groundwater as their primary supply of water
for daily needs. However, human activities continuously threaten this natural resource. In an …

Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms

JC Egbueri, JC Agbasi - Environmental Science and Pollution Research, 2022 - Springer
In recent decades, the simulation and modeling of water quality parameters have been
useful for monitoring and assessment of the quality of water resources. Moreover, the use of …

[HTML][HTML] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches

MG Uddin, S Nash, A Rahman, T Dabrowski… - Environmental …, 2024 - Elsevier
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …

Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context

BP Nandi, G Singh, A Jain, DK Tayal - International Journal of …, 2024 - Springer
The scenario of developed and develo** countries nowadays is disturbed due to modern
living style which affects environment, wildlife and natural habitat. Environmental quality has …

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices

PK Singh, J Rajput, D Kumar, V Gaddikeri… - Ecological …, 2023 - Elsevier
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in develo** nations …

The potential of big data and machine learning for ground water quality assessment and prediction

A Rajeev, R Shah, P Shah, M Shah… - Archives of Computational …, 2024 - Springer
Water, a priceless gift from nature, acts as Earth's matrix, medium, and life-sustaining
substance. While the planet is predominantly covered by water, only 3% is available as …

[HTML][HTML] A study of assessment and prediction of water quality index using fuzzy logic and ANN models

R Trach, Y Trach, A Kiersnowska, A Markiewicz… - Sustainability, 2022 - mdpi.com
Various human activities have been the main causes of surface water pollution. The uneven
distribution of industrial enterprises in the territories of the main river basins of Ukraine do …