DAILY PAPER REVIEW

20200218_New methodology to develop high-resolution rainfall data using weather radar for watershed-scale water quality model

 

1. Title, Journal and Authors

Title: New methodology to develop high-resolution rainfall data using weather radar for watershed-scale water quality model

Journal: Desalination and water treatment

Authors: Dong Jin Jeona, Yakov A. Pachepskya, Bumjo Kimb, Joon Ha kimb,*

a. USDA-ARS

b. GIST

 

2. Summary

  Watershed-scale water quality models are effective science-based tools for interpreting changes in complex environmental systems. The objective of this research is to establish the dataset which improves the prediction accuracy of the SWAT model, one of them.

 

  There are three datasets; ground rain gauges (GR), rada images (RR), and a combination data. Raw data is corrected by the MFBC method. As a result, though there are little differences between GARR and RR in the respects of NSE, GARR shows better prediction accuracy. Therefore, the performance of SWAT will be improved with the GARR dataset.

 

3. Contact

Dae Seong Jeong / Integrated Ph.D. program

 

Environmental Systems Engineering Lab.

School of Environmental Science & Engineering

Gwangju Institute of Science and Technology

1 Oryong-dong Buk-gu Gwangju, 500-712, Korea

 

 

Phone : +82-10-2003-7860

E-mail : jeongds92@gist.ac.kr

 

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