A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
Recent advancement of the sensors for monitoring the water quality parameters in smart fisheries farming
Water quality is the most critical factor affecting fish health and performance in aquaculture
production systems. Fish life is mostly dependent on the water fishes live in for all their …
production systems. Fish life is mostly dependent on the water fishes live in for all their …
Exploring potential machine learning application based on big data for prediction of wastewater quality from different full-scale wastewater treatment plants
Water pollution generated from intensive anthropogenic activities has emerged as a critical
issue concerning ecosystem balance and livelihoods worldwide. Although optimizing …
issue concerning ecosystem balance and livelihoods worldwide. Although optimizing …
Machine learning methods for stream water temperature prediction
M Feigl, K Lebiedzinski, M Herrnegger… - Hydrology and Earth …, 2021 - hess.copernicus.org
Water temperature in rivers is a crucial environmental factor with the ability to alter hydro-
ecological as well as socio-economic conditions within a catchment. The development of …
ecological as well as socio-economic conditions within a catchment. The development of …
Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant
Providing a robust and reliable model is essential for hydro-environmental and public health
engineering perspectives, including water treatment plants (WTPs). The current research …
engineering perspectives, including water treatment plants (WTPs). The current research …
Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index
In recent decades, various conventional techniques have been formulated around the world
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
to evaluate the overall water quality (WQ) at particular locations. In the present study, back …
Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms
JC Egbueri - Groundwater for Sustainable Development, 2022 - Elsevier
The continuous increase in the rate of industrialization in developing countries, in recent
times, calls for continuous industrial water quality assessment and prediction. This is to …
times, calls for continuous industrial water quality assessment and prediction. This is to …
Use of artificial neural networks and multiple linear regression model for the prediction of dissolved oxygen in rivers: Case study of hydrographic basin of River …
YO Ouma, CO Okuku, EN Njau - Complexity, 2020 - Wiley Online Library
The process of predicting water quality over a catchment area is complex due to the
inherently nonlinear interactions between the water quality parameters and their temporal …
inherently nonlinear interactions between the water quality parameters and their temporal …
Hybrid machine learning ensemble techniques for modeling dissolved oxygen concentration
The reliable prediction of dissolved oxygen concentration (DO) is significantly crucial for
protecting the health of the aquatic ecosystem. The current research employed four different …
protecting the health of the aquatic ecosystem. The current research employed four different …
[PDF][PDF] Estimation of water quality index using artificial intelligence approaches and multi-linear regression
Water quality index is a measure of water quality at a certain location and over a period of
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …