Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering)
Online ISSN : 2185-467X
ISSN-L : 2185-467X
Annual Journal of Hydraulic Engineering, JSCE, Vol.62
A STUDY ON LONG-TERM RIVER DISCHARGE DATA GENERATION BY DISTRIBUTED HYDROLOGIC MODEL AND RECOMBINATION ATMOSPHERIC DATA
Kazuaki YOROZUNaoya KUROSAKIYutaka ICHIKAWASunmin KIMYasuto TACHIKAWA
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2018 Volume 74 Issue 4 Pages I_127-I_132

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Abstract
 It is pointed out that initial soil moisture affects peak river discharge. Using a distributed hydrologic model, soil moisture impact on river discharge can be considered explicitly.
 It was assumed that monthly rainfall amount in rainy season on Bhumibol dam catchment in Thailand doesn't show autocorrelation based on statistical correlation test except the relationship between monthly rainfall in July and that in August. Therefore, recombining atmospheric data between August and September, and then, a long-term river discharge data was generated by a distributed hydrologic model and recombination atmospheric data. A histogram of annual maximum daily river discharge from generated long-term river discharge data was similar with that of original data. Moreover, it is suggested that annual maximum daily river discharge is determined not only by rainfall but initial soil moisture.
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© 2018 Japan Society of Civil Engineers
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