Analysis of Reservoir Water Quality by Smartphone Color Image Analysis: A Case Study of Three Reservoirs in Taiwan
Source abstract
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: crossref · Quality: baseline
Research context
OpenAlex topics: Water Quality Monitoring Technologies · Water Quality and Pollution Assessment · Digital Imaging for Blood Diseases
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 402, Taiwan
Micron Technology Taiwan, Inc., Hwa-Ya Technology Park, Taoyuan 333, Taiwan
Department of Naval Architecture and Ocean Engineering, Chosun University, Gwangju 61452, Republic of Korea
Department of Chemical Engineering, Changwon National University, Changwon 51140, Republic of Korea
Funding
Water Quality Protection Act, Ministry of Environment, Taiwan
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