Year: 2024
Type: article
Abstract: The availability of clean water, a critical natural resource essential for supporting diverse ecosystems, is increasingly threatened by sediment accumulation, which negatively impacts rivers, oceans, and coastal environments. During rainy seasons, excessive sediment, including clay particles known as total suspended solids (TSS), contaminates water, compromising its quality, altering its color, and driving up treatment costs. Additionally, sediment can carry pollutants that reduce water clarity, harm aquatic life, and disrupt ecosystem functions. Conventional water treatment methods—such as coagulation, flocculation, sedimentation, and filtration—are commonly employed to address these challenges. However, traditional water quality monitoring relies heavily on laboratory tests that require specialized personnel, chemicals, and expertise, which may not always be adequate for timely and effective intervention. The advent of Internet of Things (IoT) technology offers a promising alternative by enabling the real-time collection of water quality data. Furthermore, integrating soft computing technology into water quality assessment presents a more efficient, rapid, and environmentally sustainable alternative to traditional laboratory-based approaches. An IoT device will be utilized to monitor the performance of a water treatment system and gather data on its water quality indicators. This research can aid in assessing water quality and offering valuable insights to decision-makers on how to maintain or enhance it.
Institution: International Islamic University Malaysia
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405914956