Machine learning in environmental research: common pitfalls and best practices
Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …
sets and decipher complex relationships between system variables. However, due to the …
Machine learning in natural and engineered water systems
R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …
sustainable development. To better protect the water environment and conserve water …
Spatial heterogeneity modeling of water quality based on random forest regression and model interpretation
F Wang, Y Wang, K Zhang, M Hu, Q Weng… - Environmental …, 2021 - Elsevier
A systematic understanding of the spatial distribution of water quality is critical for successful
watershed management; however, the limited number of physical monitoring stations has …
watershed management; however, the limited number of physical monitoring stations has …
Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques
Y Zhou - Journal of Hydrology, 2020 - Elsevier
Quantifying the uncertainty of probabilistic water quality forecasting induced by missing input
data is fundamentally challenging. This study introduced a novel methodology for …
data is fundamentally challenging. This study introduced a novel methodology for …
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling
Abstract The application of Artificial Neural Networks (ANNs) in the field of environmental
and water resources modelling has become increasingly popular since early 1990s. Despite …
and water resources modelling has become increasingly popular since early 1990s. Despite …
An IoT based smart water quality monitoring system using cloud
JB Ajith, R Manimegalai… - … conference on emerging …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances,
and other items embedded with electronics, software, sensors, actuators and connectivity …
and other items embedded with electronics, software, sensors, actuators and connectivity …
Hybrid modelling of water resource recovery facilities: status and opportunities
Mathematical modelling is an indispensable tool to support water resource recovery facility
(WRRF) operators and engineers with the ambition of creating a truly circular economy and …
(WRRF) operators and engineers with the ambition of creating a truly circular economy and …
The fourth-revolution in the water sector encounters the digital revolution
M Garrido-Baserba, L Corominas… - … science & technology, 2020 - ACS Publications
The so-called fourth revolution in the water sector will encounter the Big data and Artificial
Intelligence (AI) revolution. The current data surplus stemming from all types of devices …
Intelligence (AI) revolution. The current data surplus stemming from all types of devices …
[HTML][HTML] Generative adversarial networks for detecting contamination events in water distribution systems using multi-parameter, multi-site water quality monitoring
Contamination events in water distribution networks (WDNs) can have a huge impact on
water supply and public health; increasingly, online water quality sensors are deployed for …
water supply and public health; increasingly, online water quality sensors are deployed for …
A survey of machine learning methods applied to anomaly detection on drinking-water quality data
Traditional machine learning (ML) techniques such as support vector machine, logistic
regression, and artificial neural network have been applied most frequently in water quality …
regression, and artificial neural network have been applied most frequently in water quality …