Abstract
This study proposes a methodology to estimate the areal reduction factor (ARF) using mixed probability density functions. In practice, ARFs are estimated by using contemporaneous rainfall data from a high density rain gauge network over the basin, which are rarely available. The methodology proposed in this study uses all rainfall data available, whether or not they are concurrent with others. A mixed probability density function is introduced to explain both the rainfall intermittency and variability, and is applied to both point rainfall and areal average rainfall, which are compared to estimate the ARFs. In this study, a mixed gamma distribution was applied for the Geum river basin, Korea, to estimate the ARFs of a one-day (or, 24 h) rainfall as an example. The new method was easier to apply and provided similar results with those of other studies.
| Original language | English |
|---|---|
| Pages (from-to) | 271-284 |
| Number of pages | 14 |
| Journal | Journal of Hydrology |
| Volume | 335 |
| Issue number | 3-4 |
| DOIs | |
| Publication status | Published - 2007 Mar 15 |
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Keywords
- Areal reduction factor
- Mixed gamma distribution
- Rainfall
ASJC Scopus subject areas
- Soil Science
- Earth-Surface Processes
Cite this
Estimation of areal reduction factors using a mixed gamma distribution. / Yoo, Chulsang; Kim, Kyoungjun; Kim, Hung S.; Park, Moo J.
In: Journal of Hydrology, Vol. 335, No. 3-4, 15.03.2007, p. 271-284.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Estimation of areal reduction factors using a mixed gamma distribution
AU - Yoo, Chulsang
AU - Kim, Kyoungjun
AU - Kim, Hung S.
AU - Park, Moo J.
PY - 2007/3/15
Y1 - 2007/3/15
N2 - This study proposes a methodology to estimate the areal reduction factor (ARF) using mixed probability density functions. In practice, ARFs are estimated by using contemporaneous rainfall data from a high density rain gauge network over the basin, which are rarely available. The methodology proposed in this study uses all rainfall data available, whether or not they are concurrent with others. A mixed probability density function is introduced to explain both the rainfall intermittency and variability, and is applied to both point rainfall and areal average rainfall, which are compared to estimate the ARFs. In this study, a mixed gamma distribution was applied for the Geum river basin, Korea, to estimate the ARFs of a one-day (or, 24 h) rainfall as an example. The new method was easier to apply and provided similar results with those of other studies.
AB - This study proposes a methodology to estimate the areal reduction factor (ARF) using mixed probability density functions. In practice, ARFs are estimated by using contemporaneous rainfall data from a high density rain gauge network over the basin, which are rarely available. The methodology proposed in this study uses all rainfall data available, whether or not they are concurrent with others. A mixed probability density function is introduced to explain both the rainfall intermittency and variability, and is applied to both point rainfall and areal average rainfall, which are compared to estimate the ARFs. In this study, a mixed gamma distribution was applied for the Geum river basin, Korea, to estimate the ARFs of a one-day (or, 24 h) rainfall as an example. The new method was easier to apply and provided similar results with those of other studies.
KW - Areal reduction factor
KW - Mixed gamma distribution
KW - Rainfall
UR - http://www.scopus.com/inward/record.url?scp=33847138241&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847138241&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2006.11.026
DO - 10.1016/j.jhydrol.2006.11.026
M3 - Article
AN - SCOPUS:33847138241
VL - 335
SP - 271
EP - 284
JO - Journal of Hydrology
JF - Journal of Hydrology
SN - 0022-1694
IS - 3-4
ER -