[HTML][HTML] A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment
Here, we present an improved water quality index (WQI) model for assessment of coastal
water quality using Cork Harbour, Ireland, as the case study. The model involves the usual …
water quality using Cork Harbour, Ireland, as the case study. The model involves the usual …
[HTML][HTML] A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
With the significant increase in WQI applications worldwide and lack of specific application
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
guidelines, accuracy and reliability of WQI models is a major issue. It has been reported that …
[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …
classification schemes. Consequently, different methods provide a number of interpretations …
[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …
[HTML][HTML] Assessing optimization techniques for improving water quality model
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …
assess frequently. The Water quality index (WQI) model is one of the most widely used …
[HTML][HTML] A sophisticated model for rating water quality
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 …
coastal water quality in an effort to improve the method and develop a tool that can be used …
[HTML][HTML] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
[HTML][HTML] Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …
utilizing data-driven approaches, especially those integrating machine learning and artificial …
A comparison of geocomputational models for validating geospatial distribution of water quality index
Water resources management is a vital component of maintaining good water quality. The
surveillance program is one of the essential tools for regularly monitoring water quality. But …
surveillance program is one of the essential tools for regularly monitoring water quality. But …
[HTML][HTML] The fuzzy comprehensive evaluation (FCE) and the principal component analysis (PCA) model simulation and its applications in water quality assessment of …
S Xu, Y Cui, C Yang, S Wei, W Dong, L Huang… - Environmental …, 2021 - eeer.org
Abstract The Fuzzy Comprehensive Evaluation (FCE) and the Principal Component Analysis
(PCA) were simulated to assess water quality of the Nansi Lake Basin, China. The …
(PCA) were simulated to assess water quality of the Nansi Lake Basin, China. The …