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Environmental investigation and data analysis application(4/4)

This 4-year project, on the basis of academic theory and statistics, aims to improve the data analysis and visualization of environmental analysis and to identify the potential correlations among river water samples and environmental conditions for 13 rivers in Taiwan. In 4th year study, we focused on two topics, first is temporal and spatial analysis for heavy metal concentrations of eight rivers, namely Taliaokeng River, Nankan River, Yanshuei River, Sanyegong River, Houlong River, Beigang River, Jishui River and Agongdian River, and hold a symposium for river water pollution forensic. The multivariate statistical analysis, such as heat map and hierarchical cluster analysis, were used to identify the hotspots for the high concentration pollutants in eight rivers. In addition, to compare with the concentrations detected by the Environmental Water Quality Information stations, this study displayed the concentrations of heavy metals from upstream to downstream using histogram along with daily cumulative rainfall information obtaining from Central Weather Bureau. Moreover, the concentrations of heavy metals in the eight rivers were visualized using the Indicator Kriging method in Geographic Information System. These findings have be displayed on the website (River Information Map:, and opened to the general public and relevant stakeholders. This project held the Symposium on River Water and Forensic of Environmental Pollutants in 1-2 of September in 2020. We invited the research teams of the relevant projects for Environmental Analysis of the Environmental Protection Administration to share their findings to the stakeholders. Symposium contents include pollution identification analysis methods and future development that aim to broaden the professional literacy of general public and relevant interest groups. By the end, the 95 participants discussed and provided positive feedback that benefit to improve environmental inspection and environmental forensic technology development.
Environmental investigation, Data analytics, Training, Case study