Imperial College London


Faculty of EngineeringDepartment of Civil and Environmental Engineering

Research Postgraduate







304Skempton BuildingSouth Kensington Campus





Estimating drinking water turbidity using a smartphone camera-based application.

Water quality monitoring is an indispensable tool toward achieving clean water and sanitation (SDG 6). This kind of monitoring safeguards the hygiene quality of water, especially drinking water. However, the scarcity of water quality data remains a major challenge in many developing countries. This study aims to develop a custom-smartphone application and voluntary participation program for turbidity measurement in remote settings. This crowdsourcing platform would be beneficial to enhance data collection. It would also serve to raise the public’s awareness about the importance of water quality and empower them to demand better water quality from their suppliers. The approach began by designing a mobile application that uses a built-in camera to recognise turbid water images. The application was then trained using an algorithm which learns from synthetic turbid water sample images. Results were validated by conventional turbidimeter readings. The first participant program was launched to measure water turbidity using smartphone-based application. The results from the participant program will be analysed. The protocol for the remote monitoring program will be redeveloped.The image cropper and turbidity measuring algorithm will be refined for better accuracy.

Intermittent water supply

Many people around the world do not have access to water 24-7. The World Health Organisation has estimated that approximately one-third of  piped water is intermittently supplied in Africa and Latin America and more than 50% in Asia[1].  Pressure transients following interruptions can increase the risk of pathogen intrusion and other water contamination events. Understanding the true health impacts of intermittent water supplies are partly constrained by a scarcity of water quality data.

This study is employing citizen science to sustainably establish local data collection networks which will enable real-time, spatial water quality monitoring. Combining citizen science data, modeling and exposure assessment may provide insights which are beneficial for environmental health risk assessment.

Chotiwat obtained a BEng with distinction in Environmental engineering from KMUTT, Thailand. Subsequently, he completed an MEng and was a recipient of “Best thesis award” from the Department of Urban Engineering of the University of Tokyo.

After working for the Sembcorp-NUS corporate laboratory, he then enrolled at Imperial College London as a PhD student under the supervision of Professor Michael Templeton in 2021.

[1] UNICEF, WHO(2000), Global Water Supply and Sanitation Assessment 2000 Report 

Selected Publications

Journal Articles

Jantarakasem C, Kasuga I, Kurisu F, et al., 2020, Temperature-Dependent Ammonium Removal Capacity of Biological Activated Carbon Used in a Full-Scale Drinking Water Treatment Plant, Environmental Science & Technology, Vol:54, ISSN:0013-936X, Pages:13257-13263

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