Livestock and poultry wastewater poses a potent risk factor for environmental pollution
accelerating disease load and premature deaths. It is characterized by high chemical …

Utilizing various renewable energy resources (RERs) for powering desalination plants is an
encouraging choice, specifically in arid and remote areas where conventional resources are …

Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …

Efficient characterization of wastewater stream quality is vital to ensure the safe discharge or
reuse of treated wastewater (WW). There are numerous parameters employed to …

Currently, decision support tools (DSTs) for wastewater treatment and resource recovery
from wastewater use oversimplified databases evaluate and design of treatment trains. The …

Wastewater quality modelling plays a vital role in planning and management of wastewater
treatment plants (WWTP). This paper develops a new hybrid machine learning model based …

Foam formation in surface waters represents a multifaceted process governed by intricate
interactions among surfactants, gases, liquids, and microbial entities. Despite its global …

Heavy metals (HMs) enter waterbodies through various means, which, when exceeding a
threshold limit, cause toxic effects both on the environment and in humans upon entering …

The access to clean and drinkable water is becoming one of the major health issues
because most natural waters are now polluted in the context of rapid industrialization and …

Groundwater quality assessment is essential for achieving safe and sustainable water
resources, specifically in regions that rely mainly on groundwater. This study focuses on …