With the rapid increase in the volume of data on the aquatic environment, machine learning
has become an important tool for data analysis, classification, and prediction. Unlike …

The effective management of water resources is essential to environmental stewardship and
sustainable development. Traditional approaches to water resource management (WRM) …

The permanent problem of formation of algal blooms in water polluted with nitrogen and
phosphorus is one of the formidable environmental problems. Biochar has the potential to …

Water pollution generated from intensive anthropogenic activities has emerged as a critical
issue concerning ecosystem balance and livelihoods worldwide. Although optimizing …

The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …

Integration of the Internet of Things (IoT) into the fields of wastewater treatment and water
quality prediction has the potential to revolutionize traditional approaches and address …

This study represents the first application of Sentinel-2 remote sensing imagery and model
fusion techniques to assess the chlorophyll-a (Chla) concentration and turbidity in Nansi …

Coastal harmful algal blooms (HABs) have become one of the challenging environmental
problems in the world's thriving coastal cities due to the interference of multiple stressors …

Statement of Problem: Environmental engineering confronts complex challenges
characterized by significant uncertainties. Traditional modeling methods often fail to …

The water quality of the Middle Route of the South-to-North Water Diversion Project (MRP) of
China is related to the health and safety of about 8500w people. In recent years, multiple …