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Article

Morphometric Analysis Using Geographical Information System and the Relationship with Precipitation Quantiles of Major Dam Basins in South Korea

1
Gangto Enginerring Co., Ltd., Anyang 14084, Republic of Korea
2
Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA
3
Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of Korea
4
School of Civil Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea
*
Authors to whom correspondence should be addressed.
Water 2024, 16(7), 1053; https://doi.org/10.3390/w16071053
Submission received: 27 January 2024 / Revised: 25 March 2024 / Accepted: 31 March 2024 / Published: 6 April 2024

Abstract

Geographic information system (GIS) and remote sensing (RS) technologies are potent tools for evaluating various aspects of basin hydrology. This study conducted a morphological analysis using GIS tools on seven major dam basins in Korea. Additionally, long-term RS-based precipitation data were obtained, the probability of precipitation was estimated, and their relationship was examined. The findings are summarized as follows. It was observed that most major dam basins in Korea, which were the focus of this study, had a broad radial shape, and due to the mountainous topography, there was a notable presence of numerous river branches. Through the estimation of probability precipitation and its comparison with morphological indices, it was noted that wider basins tend to have higher rainfall amounts and a relatively uniform spatial distribution. Furthermore, it was found that the more uniform the spatial distribution, the simpler the river network. This trend becomes more pronounced in relation to basin size for longer durations, and in spatial dispersion for shorter durations. However, it is crucial to acknowledge that the complexity of these relationships is also affected by other factors such as climate, altitude, and local geographical conditions.
Keywords: geographic information system; remote sensing; morphological characteristics; precipitation quantile; Korea geographic information system; remote sensing; morphological characteristics; precipitation quantile; Korea

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MDPI and ACS Style

Oh, S.; Lee, J.; Baik, J.; Jun, C.; Lee, E.H. Morphometric Analysis Using Geographical Information System and the Relationship with Precipitation Quantiles of Major Dam Basins in South Korea. Water 2024, 16, 1053. https://doi.org/10.3390/w16071053

AMA Style

Oh S, Lee J, Baik J, Jun C, Lee EH. Morphometric Analysis Using Geographical Information System and the Relationship with Precipitation Quantiles of Major Dam Basins in South Korea. Water. 2024; 16(7):1053. https://doi.org/10.3390/w16071053

Chicago/Turabian Style

Oh, Sejeong, Jinwook Lee, Jongjin Baik, Changhyun Jun, and Eui Hoon Lee. 2024. "Morphometric Analysis Using Geographical Information System and the Relationship with Precipitation Quantiles of Major Dam Basins in South Korea" Water 16, no. 7: 1053. https://doi.org/10.3390/w16071053

APA Style

Oh, S., Lee, J., Baik, J., Jun, C., & Lee, E. H. (2024). Morphometric Analysis Using Geographical Information System and the Relationship with Precipitation Quantiles of Major Dam Basins in South Korea. Water, 16(7), 1053. https://doi.org/10.3390/w16071053

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