Estimation of optimal grid size for radar reflectivity using a SWAT model

Changsam Jeong; Kyungwon Joo; Wongeun Lee; Hongjoon Shin; Jun Haeng Heo

doi:10.1016/j.jher.2013.05.005

Estimation of optimal grid size for radar reflectivity using a SWAT model

Changsam Jeong, Kyungwon Joo, Wongeun Lee, Hongjoon Shin, Jun Haeng Heo

Department of Civil and Environmental Engineering

Research output: Contribution to journal › Article

1 Citation (Scopus)

Abstract

To estimate the optimal grid size for radar reflectivity, an artificial neural network (ANN) model was employed to estimate the precipitation in the Soyanggangdam basin in Korea. The model was simulated using constant altitude plan position indicator (CAPPI) data from the weather radar observatory in Gwangduksan. To configure the ANN model, only the reflectivity of cells of the ground observatory was selected to estimate the precipitation. An optimal grid size for the CAPPI, which exhibited minimal influence on runoff, was suggested. The simulated precipitation was applied in a soil and water assessment tool (SWAT) model, which is a continuous physical model utilized to determine variation in runoff and peak flood. An optimal grid size of radar reflectivity in the range of 4-8. km was obtained for the Soyanggangdam basin by analyzing the variation in runoff.

Original language	English
Pages (from-to)	20-31
Number of pages	12
Journal	Journal of Hydro-Environment Research
Volume	8
Issue number	1
DOIs	https://doi.org/10.1016/j.jher.2013.05.005
Publication status	Published - 2014 Mar

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All Science Journal Classification (ASJC) codes

Environmental Engineering
Civil and Structural Engineering
Environmental Chemistry
Water Science and Technology
Management, Monitoring, Policy and Law

Cite this

Jeong, C., Joo, K., Lee, W., Shin, H., & Heo, J. H. (2014). Estimation of optimal grid size for radar reflectivity using a SWAT model. Journal of Hydro-Environment Research, 8(1), 20-31. https://doi.org/10.1016/j.jher.2013.05.005

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abstract = "To estimate the optimal grid size for radar reflectivity, an artificial neural network (ANN) model was employed to estimate the precipitation in the Soyanggangdam basin in Korea. The model was simulated using constant altitude plan position indicator (CAPPI) data from the weather radar observatory in Gwangduksan. To configure the ANN model, only the reflectivity of cells of the ground observatory was selected to estimate the precipitation. An optimal grid size for the CAPPI, which exhibited minimal influence on runoff, was suggested. The simulated precipitation was applied in a soil and water assessment tool (SWAT) model, which is a continuous physical model utilized to determine variation in runoff and peak flood. An optimal grid size of radar reflectivity in the range of 4-8. km was obtained for the Soyanggangdam basin by analyzing the variation in runoff.",

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10.1016/j.jher.2013.05.005