Membrane fouling prediction and uncertainty analysis using machine learning: A wastewater treatment plant case study

DJ Kovacs, Z Li, BW Baetz, Y Hong, S Donnaz… - Journal of Membrane …, 2022 - Elsevier
Membrane bioreactors (MBRs) have proven to be an extremely effective wastewater
treatment process combining ultrafiltration with biological processes to produce high-quality …

An enhanced deep learning approach to assessing inland lake water quality and its response to climate and anthropogenic factors

H Guo, X Zhu, JJ Huang, Z Zhang, S Tian, Y Chen - Journal of Hydrology, 2023 - Elsevier
Remote sensing has long been used for inland water quality monitoring. However, due to
the complex correlation between water quality parameters (WQPs) and water optical …

[HTML][HTML] Sustainability and virtual water: The lessons of history

ML Khaneiki, AS Al-Ghafri, B Klöve… - Geography and …, 2022 - Elsevier
This article aims to show that virtual water has historically been an adaptation strategy that
enabled some arid regions to develop a prosperous economy without putting pressure on …

Spatio-temporal variability and trend analysis of rainfall in Wainganga river basin, Central India, and forecasting using state-space models

NS Kudnar, P Diwate, VN Mishra, PK Srivastava… - Theoretical and Applied …, 2022 - Springer
Abstract Analysis of rainfall distribution and its changing pattern plays a vital role in
managing water resources in a region. This work examined the spatio-temporal variability …

Treatment of oiled beach sand using a green and responsive washing fluid with nonionic surfactant-modified nanoclay

H Bi, C An, CN Mulligan, K Zhang, K Lee… - Journal of Cleaner …, 2022 - Elsevier
Marine oil spills may cause huge economic loss and detrimental effects to the coastal
ecosystem and communities. In this study, a green and responsive washing fluid was …

A comparison study on the role of urbanization in altering the short-duration and long-duration intense rainfall

C Chang, Y Chen, JJ Huang - Science of The Total Environment, 2023 - Elsevier
Urbanization has significantly changed the regional hydrological cycle and energy balance.
However, the different roles of urbanization on intense rainfall with short and long …

Assessing and predicting the severity of mid-winter breakups based on Canada-wide river ice data

M De Coste, Z Li, Y Dibike - Journal of Hydrology, 2022 - Elsevier
Abstract Mid-winter breakups (MWBs), consisting of the early breakup of the winter river ice
cover before the typical spring breakup season, are becoming increasingly common events …

The prediction of mid-winter and spring breakups of ice cover on Canadian rivers using a hybrid ontology-based and machine learning model

M De Coste, Z Li, R Khedri - Environmental Modelling & Software, 2023 - Elsevier
Mid-winter breakups (MWBs) are an increasingly common event on Canadian rivers
resulting in the early breakup of river ice cover, with complex and numerous drivers. This …

Development of an interactive multi-region enviro-economic equilibrium (IMR3E) model for managing inner-and inter-region carbon-emission mitigation

M Zhai, Y Wu, Y Gu, S Su, H Zang, W Ding… - Resources, Conservation …, 2023 - Elsevier
Under the multiple pressures of climate change, carbon mitigation and economic
development, systematically studying the compound effects of economic and environmental …

Assessing distributed solar power generation potential under multi-gcms: A factorial-analysis-based random forest method

B Zhou, Y Li, G Huang, J Lv, Y Li… - ACS Sustainable …, 2022 - ACS Publications
The development of renewable energy is important for climate change mitigation and
socioeconomic sustainability, and the prediction of renewable energy potential (eg, solar) …