Estimation of river pollution index in a tidal stream using kriging analysis

Area of Science:

• Environmental Science
• Hydrology
• Geostatistics

Background:

• Tidal streams are dynamic estuarine zones where freshwater and marine systems interact.
• High biological productivity and proximity to transport routes make tidal streams vital for urban development.
• Domestic wastewater discharge into Taiwan's tidal streams necessitates effective water quality monitoring.

Purpose of the Study:

• To develop and evaluate a novel method for assessing the River Pollution Index (RPI) in tidal streams.
• To address the limitations of existing models in evaluating pollution in complex, 1D-considered tidal stream systems.
• To demonstrate an efficient RPI evaluation method requiring minimal water quality data.

Main Methods:

• Application of kriging analysis, a geostatistical interpolation technique.
• Development of a kriging-based model tailored for evaluating RPI in 1D tidal stream environments.
• Validation of the proposed method using water quality data from the Tanshui River estuary.

Main Results:

• The kriging-based method accurately and reliably estimates RPI in tidal streams.
• The developed method is efficient and requires a minimum amount of water quality data.
• Successful validation using data from the Tanshui River downstream reach.

Conclusions:

• The proposed kriging-based method offers a simple yet effective solution for RPI evaluation in tidal streams.
• This approach enhances water quality assessment in complex estuarine environments.
• The method provides a reliable tool for managing pollution in urbanized tidal stream systems.