Global river water quality under climate change and hydroclimatic extremes
Climate change and extreme weather events (such as droughts, heatwaves, rainstorms and
floods) pose serious challenges for water management, in terms of both water resources …
floods) pose serious challenges for water management, in terms of both water resources …
Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
Given the recent advances in remote sensing analytics, cloud computing, and machine
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
learning, it is imperative to evaluate capabilities of remote sensing for water quality …
[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] 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 …
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …
Prediction of groundwater quality using efficient machine learning technique
To ensure safe drinking water sources in the future, it is imperative to understand the quality
and pollution level of existing groundwater. The prediction of water quality with high …
and pollution level of existing groundwater. The prediction of water quality with high …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
[HTML][HTML] Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review
Surface water is heavily exposed to contamination as this is the ubiquitous source for most
of the water needs. This situation is exaggerated by the excessive population, heavy …
of the water needs. This situation is exaggerated by the excessive population, heavy …
Measurement of total dissolved solids and total suspended solids in water systems: A review of the issues, conventional, and remote sensing techniques
This study provides a comprehensive review of the efforts utilized in the measurement of
water quality parameters (WQPs) with a focus on total dissolved solids (TDS) and total …
water quality parameters (WQPs) with a focus on total dissolved solids (TDS) and total …
[HTML][HTML] Water quality prediction and classification based on principal component regression and gradient boosting classifier approach
Estimating water quality has been one of the significant challenges faced by the world in
recent decades. This paper presents a water quality prediction model utilizing the principal …
recent decades. This paper presents a water quality prediction model utilizing the principal …