Influence of the Spatial Distribution of a Raingage Network on the Estimation of Areal Average Rainfall : Focusing on Thiessen's Weighting Method

Lee, Jiho; Jun, Hwandon

doi:10.9798/kosham.2015.15.3.297

Cited by 2 publications

(1 citation statement)

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“…3.4 티센면적가중법(Thiessen polygon method, TSN) 티센가중법은 유역면적에 대한 각 강우관측소의 지배면 적을 가중인자로 이용하는 방법으로 유역면적 평균 강우량 및 추정오차는 다음과 같이 계산할 수 있다 (Lee and Jun, 2015).…”

Section: 분석 방법 및 평가 방법unclassified

Error Generation Characteristics of the Areal Rainfall Estimation Interpolation Method Using Rainfall Radar Data

Hwang¹,

Kang²,

Yoon³

2022

J. Korean Soc. Hazard Mitig

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This study evaluated the effects of watershed area, rain gauge density, rain gauge distribution, and rainfall movement direction on regional average rainfall estimates by comparing the spatial interpolation results. To this end, the interpolated watershed mean using radar grid data from the Ministry of Environment’s TM rain gauge point was compared with the watershed mean of all radar grids within the watershed. Results showed that eight or more rain gauges are required for accurate area average rainfall estimates in small watersheds of less than 500 km<sup>2</sup>. In addition, the inverse distance weighting method tends to underestimate area average rainfall, whereas the Thiessen method tends to overestimate it. Furthermore, as linearity of rain gauge distribution increased, the number of rainfall events with outliers increased. In particular, when the correlation coefficient exceeded 0.7, outliers appeared to rapidly increase, sharply increasing the possibility of overestimating or underestimating area average rainfall. This study clearly showed that there are limits to area-averaged rainfall estimates when using rain gauge rainfall data in small watersheds.

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Section: 분석 방법 및 평가 방법unclassified