Work

Analysis of Reservoir Water Quality by Smartphone Color Image Analysis: A Case Study of Three Reservoirs in Taiwan

Year: 2025

Type: article

Abstract: This work investigates smartphone-based image processing for monitoring reservoir water quality, driven by the necessity for accessible and economical environmental evaluation techniques. The objective is to examine the correlation between water color and essential water quality parameters, including turbidity, total phosphorus, and chlorophyll-a, utilizing basic, readily accessible technology. The concept entails taking water photos from three principal reservoirs in Taiwan—Shimen, Liyutan, and Hushan—utilizing a smartphone camera, succeeded by sophisticated image processing algorithms, encompassing RGB color space analysis and ripple filtering. The findings indicate strong correlations between the G/R ratio obtained from the photos and conventional water quality parameters, particularly turbidity and chlorophyll-a. The correlation analysis yielded R2 = 0.72 (p < 0.01) for turbidity and R2 = 0.68 (p < 0.05) for chlorophyll-a, confirming the statistical significance of the results.

Source: Applied Sciences

DOI: 10.3390/app152312370

Authors: Anisa Fitri Santosa, Youxiang Huang, Muhammad Bilhaq Ashlah, Se-Min Jeong, Wonjung Choi, Wu-Yang Sean

Institutions: National Chung Hsing University, Micron (Taiwan), Chosun University, Changwon National University

Language: English

Topic: Water Quality Monitoring Technologies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Estimated APC paid: $2,896