• Title/Summary/Keyword: 중부국제공항

Search Result 3, Processing Time 0.139 seconds

Sedimentary profile of Youngjong-North tidal flat (영종북 갯벌의 퇴적 단면 구조)

  • Lee, Yun-Hwa
    • The Korean Journal of Quaternary Research
    • /
    • v.20 no.1 s.26
    • /
    • pp.1-8
    • /
    • 2006
  • Many boring investigations were achieved in Youngjong-North tidal flat to construct the Incheon International Airport Expressway. Vertical sedimentary profile of this tidal flat has been studied by analyzing these boring data. The deposits of Youngjong-North tidal flat are about 30 meters thick, and the sedimentary layers consist of basal gravel, lower mud, middle silt, middle mud, and upper silt layers in ascending order. Semi-consolidated and oxidized belt with yellowish brown color, which appears above or within middle mud layer, exists in $-3{\sim}-5$ meters altitude. There are some stratigraphical problems to admit the top surface of this oxidized belt as the unconformity surface between Holocene and Pre-Holocene tidal flat deposit.

  • PDF

A development of multivariate drought index using the simulated soil moisture from a GM-NHMM model (GM-NHMM 기반 토양함수 모의결과를 이용한 합성가뭄지수 개발)

  • Park, Jong-Hyeon;Lee, Joo-Heon;Kim, Tae-Woong;Kwon, Hyun Han
    • Journal of Korea Water Resources Association
    • /
    • v.52 no.8
    • /
    • pp.545-554
    • /
    • 2019
  • The most drought assessments are based on a drought index, which depends on univariate variables such as precipitation and soil moisture. However, there is a limitation in representing the drought conditions with single variables due to their complexity. It has been acknowledged that a multivariate drought index can more effectively describe the complex drought state. In this context, this study propose a Copula-based drought index that can jointly consider precipitation and soil moisture. Unlike precipitation data, long-term soil moisture data is not readily available so that this study utilized a Gaussian Mixture Non-Homogeneous Hidden Markov chain Model (GM-NHMM) model to simulate the soil moisture using the observed precipitation and temperature ranging from 1973 to 2014. The GM-NHMM model showed a better performance in terms of reproducing key statistics of soil moisture, compared to a multiple regression model. Finally, a bivariate frequency analysis was performed for the drought duration and severity, and it was confirmed that the recent droughts over Jeollabuk-do in 2015 have a 20-year return period.