The Effect Analysis of Climate and Watershed Characteristics on Precipitation Partitioning in Nakdong River Basin

Park, Yoonkyung; Choi, Daegyu; Kim, Jeongsook; Kim, Sangdan

doi:10.9798/kosham.2013.13.6.423

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…It can be regarded as a measure of the water use efficiency of vegetation in general (Huxman et al, 2004) and can be treated as an eco-hydrologic index that indirectly shows the effect of changes in precipitation on vegetation growth [38][39][40]. Recently, a variety of studies have been conducted on factors affecting the Horton index [41][42][43][44]. Using Equations (2) and (3), one can write Equation (7) to express Horton exponents as follows:…”

Section: Horton Indexmentioning

confidence: 99%

Stochastic Parsimonious Hydrologic Partitioning Model under East Asia Monsoon Climate and Its Application to Climate Change

Lee

Choi

Sim

et al. 2019

Water

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A conceptual hydrologic partitioning model suitable for the East Asia monsoon climate region is constructed parsimoniously, and the variability of Horton index, which is the ratio of water vaporization and wetting in the watershed, is investigated. Numerical simulations in the study area show that the inter-annual variability of Horton index is reduced to around 60% of the inter-annual variability of annual precipitation, and there is a strong inverse correlation between Horton index and annual precipitation. Using cumulant expansion theory, the probability distribution function of soil water with various hydro-meteorological variables and watershed characteristics is derived. Using the steady-state soil water probability distribution function, the sensitivity of Horton index to hydro-meteorological variables such as precipitation occurrence probability, average rainfall depth at rainy days, and evapotranspiration rate and hydro-geophysical characteristics such as surface runoff coefficients, threshold soil water value to control vaporization, and exponent value to control groundwater recharge is analyzed. Looking at the future Horton index of the study area using a variety of future climate information ensemble, it is projected that the water stress of vegetation in the watershed is likely to increase due to fluctuations in precipitation patterns and increase in potential evapotranspiration even if annual precipitation increases.

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Section: Horton Indexmentioning

confidence: 99%

Stochastic Parsimonious Hydrologic Partitioning Model under East Asia Monsoon Climate and Its Application to Climate Change

Lee

Choi

Sim

et al. 2019

Water

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“…자원 관리에 대한 어려움이 더욱 가중되어 유역단위의 수문 순환 프로세스를 이해하는 것이 나날이 중요해지고 있다 (Jackson et al, 2001;Park et al, 2013).…”

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Effect of Climate Seasonality on Hydrological Partitioning of the Watershed

Park¹,

Park²,

Kim³

2015

Journal of Korean Society of Hazard Mitigation

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In this study, the seasonal effect of climate on the hydrologic partitioning of the watershed was analyzed using Horton index. Horton index is to serve as quantified value on hydrologic partitioning, and was estimated using the soil moisture probability density function in this study. The probability density of the soil moisture was stochastically simulated using the meteorologic data at Seoul, Daegu, Busan and Jeju observation site. As a result, it could be seen that the seasonality had an effect on reducing Horton index. Seasonality could be thought to inhibit the vegetation water use efficiency, considering positive relationship between Horton index and the vegetation water use efficiency. However, much more than usual precipitation in seoul with a wet climate and much less than usual precipitation in daegu with a dry climate tended to disappear to the influence of seasonality on Horton index.

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“…국내의 경우 국외와 비교하여 기후 건조지수와 관련된 연구가 활발하게 수행된 바 없으나, 최근에 기후 건조지 수와 관련하여 일부 연구자들 (Lee and Kim, 2012;Rim and Kim, 2013;Park et al, 2013)에 의해서 연구가 수행 되었다. 연구에서 Lee and Kim(2012) Daegwallyeong(1), Chuncheon(2), Seoul(3), Wonju(4), Chungju(5), Yangpyeong(6), Icheon(7), Inje(8), Hongcheon(9), Jecheon(10) The west of Han River (2) Incheon (11), Ganghwa(12) Nakdong River (3) Daegu (13), Jinju(14), Yeongju(15), Mungyeong(16), Uiseong(17), Gumi(18), Yeongcheon(19), Geochang(20), Hapcheon(21), Miryang(22), Sancheong(23) The east of Nakdong River (4) Uljin (24), Pohang(25), Yeongdeok(26) Geum River (5) Cheongju (27), Daejeon(28), Chupungnyeong(29), Boeun(30), Buyeo(31), Geumsan(32) The west of Geum River (6) Seosan (33), Gunsan(34, Boryeong(35) Mangyeong and Dongjin Rivers (7) Jeonju(36), Jeongeup(37) The south of Sumjin River (8) Yeosu (38), Wando(39), Goheung(40) Jeju (9) Jeju (41), Seogwipo(42), Seongsanpo(43) (Trajkovic, 2005;Gong et al, 2006;Ahani et al, 2013).…”

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confidence: 99%

Homogeneity of Climate Aridity Index Trends Using Mann-Kendall Trend Test

Rim¹

2014

Journal of Korea Water Resources Association

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The homogeneity analysis of temporal (monthly, seasonal and annual) climate aridity index trend was accomplished for 43 climate measurement stations in South Korea. Furthermore, 43 stations were grouped into 9 different regions and the temporal and regional homogeneity of climate aridity index trends in each region and entire 9 regions were analyzed. For analysis, monthly, seasonal and annual climate aridity indexes of 43 study stations were estimated using precipitation and potential evapotranspiration calculated from FAO Penman-Monteith equation. The Mann-Kendall statistical test for significant trend was accomplished using the estimated climate aridity indexes and the results of trend test (Z scores) were used to analyze the temporal and regional homogeneity of climate aridity index trends. The study results showed the temporal and regional homogeneity of climate aridity index trends for individual and entire 9 regions. However, the homogeneity and the extent of aridity index trend showed different patterns temporally and regionally. keywords

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The Effect Analysis of Climate and Watershed Characteristics on Precipitation Partitioning in Nakdong River Basin

Cited by 4 publications

References 3 publications

Stochastic Parsimonious Hydrologic Partitioning Model under East Asia Monsoon Climate and Its Application to Climate Change

Stochastic Parsimonious Hydrologic Partitioning Model under East Asia Monsoon Climate and Its Application to Climate Change

Effect of Climate Seasonality on Hydrological Partitioning of the Watershed

Homogeneity of Climate Aridity Index Trends Using Mann-Kendall Trend Test

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