Jul 2026· International Journal of Latest Technology in Engineering Management & Applied Science· Vol 15, pp. 1817-1826· 0 citations· 8 references
Abstract
The growing threats to river water quality demand innovative approaches for effective monitoring and protection. This paper proposes an Internet of Things (IoT)-based river water quality monitoring system to address this challenge. The proposed system utilizes a network of sensors strategically deployed within the river, measuring crucial parameters like temperature, pH, dissolved oxygen, turbidity, and conductivity. Sensor data is continuously transmitted wirelessly to a central hub for processing and analysis. Utilizing cloud computing platforms, the system enables real-time data visualization and analysis, allowing for prompt identification of potential pollution events. Additionally, the system integrates alerting mechanisms to notify relevant authorities, facilitating timely interventions. This paper presents the design, implementation, and field testing of the proposed system, along with a thorough evaluation of its performance. The results demonstrate the system's effectiveness in capturing comprehensive water quality data, facilitating real-time monitoring, and enabling proactive water management strategies.
In Malaysia, the degradation of water bodies due to rapid urbanisation, agricultural runoff, and industrial waste highlight the urgent need for continuous, efficient water quality monitoring. However, current manual-based sampling methods are time-consuming, labour-intensive, and insufficient for real-time assessment,...
N. A. Makin, A. Azahari, A. M. Firdaus et al.· Journal of Engineering and T...· 0 citations
Water pollution has become one of the most serious dangers in recent years, since drinking water has been contaminated and polluted. Polluted water can cause a variety of diseases in humans and animals, affecting the ecosystem's life cycle. Early detection of water contamination allows for the implementation of appropr...
T. Panse, Karan Bansinge, Monica Kalbande et al.· International Conference on...· 0 citations
Flooding remains a significant urban hazard because rising river levels can disrupt mobility, public activities, infrastructure, and environmental conditions. Continuous water-level observation is therefore needed to provide timely operational information in flood-prone urban tributaries. This study aims to develop and...
Dimas Putra Ramadhan, A. Handayani, Sopian Soim et al.· bit-Tech· 0 citations
Water quality monitoring is es-sential for ensuring safe drinking water and protecting public health. With in-creasing pollution and improper waste management, the quality of drinking wa-ter is being affected in many regions. Tra-ditional methods of water testing rely on manual sampling and laboratory analy-sis, which...
Akshya Sri S, R. Parameswari· International Journal of Sci...· 0 citations
The model integrates low-cost sensors to measure pH, turbidity, temperature, and total dissolved solids (TDS), along with an embedded microcontroller for real-time data acquisition and processing, and demonstrates reliable real-time monitoring with minimal measurement deviations.
S. Ooko, Laura Cheptegei, Simon M. Karume· Mbeya University of Science...· 0 citations
An end-to-end Internet of Things framework designed for real-time water quality monitoring and predictive pollution modeling and a hybrid machine learning architecture—combining Long Short-Term Memory (LSTM) networks for time-series forecasting and Random Forest models for anomaly classification—is proposed.
Parvathy Krishna V, G. S, Sahala Mehrin et al.· International Journal of Tec...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.