Indices and models of surface water quality assessment: Review and perspectives
Many technologies have been designed to monitor, evaluate, and improve surface water
quality, as high-quality water is essential for human activities including agriculture, livestock …
quality, as high-quality water is essential for human activities including agriculture, livestock …
[HTML][HTML] Modeling, challenges, and strategies for understanding impacts of climate extremes (droughts and floods) on water quality in Asia: a review
The increasing frequency and intensity of extreme climate events are among the most
expected and recognized consequences of climate change. Prediction of water quality …
expected and recognized consequences of climate change. Prediction of water quality …
[HTML][HTML] Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
Groundwater plays a pivotal role as a global source of drinking water. To meet sustainable
development goals, it is crucial to consistently monitor and manage groundwater quality …
development goals, it is crucial to consistently monitor and manage groundwater quality …
Evaluation and prediction of groundwater quality for irrigation using an integrated water quality indices, machine learning models and GIS approaches: A …
Agriculture has significantly aided in meeting the food needs of growing population. In
addition, it has boosted economic development in irrigated regions. In this study, an …
addition, it has boosted economic development in irrigated regions. In this study, an …
Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin
The water quality index is one of the prominent general indicators to assess and classify
surface water quality, which plays a critical role in river water resources practices. This …
surface water quality, which plays a critical role in river water resources practices. This …
Prediction of long-term water quality using machine learning enhanced by Bayesian optimisation
Water quality assessment is critical to better recognise the importance of water in human
society. In this study, a new framework to predict long-term water quality is proposed by …
society. In this study, a new framework to predict long-term water quality is proposed by …
Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods
Since the unprecedented outbreak of the COVID-19, numerous meteorological-
normalization techniques have been developed in lockdown-imposed regions to decouple …
normalization techniques have been developed in lockdown-imposed regions to decouple …
Spatiotemporal impact of COVID-19 on Taiwan air quality in the absence of a lockdown: Influence of urban public transportation use and meteorological conditions
The unprecedented outbreak of COVID-19 significantly improved the atmospheric
environment for lockdown-imposed regions; however, scant evidence exists on its impacts …
environment for lockdown-imposed regions; however, scant evidence exists on its impacts …
The economic impact of water supply disruption from the Selangor River, Malaysia
The insidious economic impact of water disruption has received less attention compared to
palpable climate disasters, but climate change and water security concerns call for …
palpable climate disasters, but climate change and water security concerns call for …
Toward industrial revolution 4.0: Development, validation, and application of 3D-printed IoT-based water quality monitoring system
YJ Wong, R Nakayama, Y Shimizu, A Kamiya… - Journal of Cleaner …, 2021 - Elsevier
Recent technological advances and developments have evolved the application of the
Internet of Things (IoT), low-cost sensors, and three-dimensional (3D) printing for near-real …
Internet of Things (IoT), low-cost sensors, and three-dimensional (3D) printing for near-real …