강우관측소의 고도별 분포를 고려한 강우관측망 평가 및 최적화 연구: 한강유역을 중심으로

Translated title of the contribution: Evaluation and Optimization of a Rain Gauge Network Considering the Altitudinal Distribution of Rain Gauges For the Han River Basin

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we estimate the NNI(Nearest Neighbor Index) which is considered altitude of rain gauge network as a method for evaluating appropriateness of spatial distribution and the current rain gauge network is evaluated. In order to consider geographical conditions that vary from altitude to altitude, the optimal NNI(Nearest neighbor index) within a given basin condition is estimated using harmony search method which is one of the optimization techniques. After calculating current NNI and optimal NNI for each altitude, the distribution of the rain gauge network is evaluated based on the difference between the two NNIs. In addition, the rain gauge network was evaluated using the Euclidean distance for taking into consideration the horizontal distribution and the altitude distribution, then the proposed method applies to the Han River basin. As a result, it founds that HansSub2 is horizontally well distributed basin while HanSub1 is well distribution by altitude. When the rain gauge is evaluated both the horizontal distribution and the altitude distribution, HanSub1 (Upper stream of ChoongJu Dam basin) is analyzed as the spatially well distribution while the opposite is true for HanSub2 (Downstream of ChoongJu Dam basin). The rain gauge network of the Han River basin has a relatively worse altitude distribution than a horizontal distribution. The results from this study can be applied towards the ideal establishment of the rain gauge networks.
Translated title of the contributionEvaluation and Optimization of a Rain Gauge Network Considering the Altitudinal Distribution of Rain Gauges For the Han River Basin
Original languageKorean
Pages (from-to)287-299
Number of pages13
Journal한국방재학회논문집
Volume17
Issue number2
DOIs
StatePublished - Apr 2017

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