• Title/Summary/Keyword: Regional frequency analysis

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Estimating design floods for ungauged basins in the geum-river basin through regional flood frequency analysis using L-moments method (L-모멘트법을 이용한 지역홍수빈도분석을 통한 금강유역 미계측 유역의 설계홍수량 산정)

  • Lee, Jin-Young;Park, Dong-Hyeok;Shin, Ji-Yae;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.49 no.8
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    • pp.645-656
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    • 2016
  • The study performed a regional flood frequency analysis and proposed a regression equation to estimate design floods corresponding to return periods for ungauged basins in Geum-river basin. Five preliminary tests were employed to investigate hydrological independence and homogeneity of streamflow data, i.e. the lag-one autocorrelation test, time homogeneity test, Grubbs-Beck outlier test, discordancy measure test ($D_i$), and regional homogeneity measure (H). The test results showed that streamflow data were time-independent, discordant and homogeneous within the basin. Using five probability distributions (generalized extreme value (GEV), three-parameter log-normal (LN-III), Pearson type 3 (P-III), generalized logistic (GLO), generalized Pareto (GPA)), comparative regional flood frequency analyses were carried out for the region. Based on the L-moment ratio diagram, average weighted distance (AWD) and goodness-of-fit statistics ($Z^{DIST}$), the GLO distribution was selected as the best fit model for Geum-river basin. Using the GLO, a regression equation was developed for estimating regional design floods, and validated by comparing the estimated and observed streamflows at the Ganggyeong station.

Estimates of Regional Flood Frequency in Korea (우리나라의 빈도홍수량의 추정)

  • Kim, Nam-Won;Won, Yoo-Seung
    • Journal of Korea Water Resources Association
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    • v.37 no.12
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    • pp.1019-1032
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    • 2004
  • Flood frequency estimate is an essential index for determining the scale of small and middle hydraulic structure. However, this flood quantity could not be estimated directly for practical design purpose due to the lack of available flood data, and indirect method like design rainfall-runoff method have been used for the estimation of design flood. To give the good explain for design flood estimates, regional flood frequency analysis was performed by flood index method in this study. First, annual maximum series were constructed by using the collected data which covers from Japanese imperialism period to 1999. Wakeby distribution recommended by WMO(1989) was used for regional flood frequency analysis and L-moment method by Hosking (1990) was used for parameter estimation. For the homogeneity of region, the discordance and heterogeneity test by Hosking and Wallis(1993) was carried for 4 major watersheds in Korea. Physical independent variable correlated with index flood was watershed area. The relationship between specific discharge and watershed area showed a type of power function, i.e. the specific discharge decreases as watershed area increases. So flood quantity according to watershed area and return period was presented for each watershed(Han rivet, Nakdong river, Geum river and Youngsan/Seomjin river) by using this relation type. This result was also compared with the result of point frequency analysis and its regionalization. It was shown that the dam construction couldn't largely affect the variation of peak flood. The property of this study was also examined by comparison with previous studies.

Monitoring of Pesticide Residues in Special Products (지역특산품 중 잔류농약 실태조사)

  • Kim, Mi-Ra;Na, Mi-Ae;Jung, Woo-Young;Kim, Chang-Soo;Sun, Nam-Kyu;Seo, Eun-Chae;Lee, Eun-Mi;Park, You-Gyoung;Byun, Jung-Ah;Eom, Joon-Ho;Jung, Rae-Seok;Lee, Jin-Ha
    • The Korean Journal of Pesticide Science
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    • v.12 no.4
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    • pp.323-334
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    • 2008
  • This experiment was carried out to analyze for pesticide residues in 17 different types of the special of geographical indication. We purchased 3 cereal grains, nuts and seeds, 3 fruits, 8 vegetables, mushrooms and other plants (Korean medicines) mainly at the agricultural cooperative's joints markets. Total 209 pesticides including multi-analysed pesticides (204) and single-analysed pesticides (5 ; acephate, methamidophos, monocrotophos, omethoate, vamidothion) were analysed with a GC/MS/MS, an HPLC/UVD (PDA) and a GC/FPD. No. 83 method and single-analysed method (Screening of multi-pesticide residue in the special products of geographical indication) of Korea Food Code was selected for validation in recovery and interferences of matrice. The results were as follows: among the selected 17 the special products, the residual pesticides were detected in 8 types of the special products (40 in 302 samples, detection ratio; 13.2%). All of the samples were not detected over MRLs, but tebuconazole, procymidone and isoprothioran were detected with considerable high frequency. These results could be used as KFDA official methods for the analysis of pesticide residues in foods and reference data will be provided to the related institutions.

Spatial distribution and uncertainty of daily rainfall for return level using hierarchical Bayesian modeling combined with climate and geographical information (기후정보와 지리정보를 결합한 계층적 베이지안 모델링을 이용한 재현기간별 일 강우량의 공간 분포 및 불확실성)

  • Lee, Jeonghoon;Lee, Okjeong;Seo, Jiyu;Kim, Sangdan
    • Journal of Korea Water Resources Association
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    • v.54 no.10
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    • pp.747-757
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    • 2021
  • Quantification of extreme rainfall is very important in establishing a flood protection plan, and a general measure of extreme rainfall is expressed as an T-year return level. In this study, a method was proposed for quantifying spatial distribution and uncertainty of daily rainfall depths with various return periods using a hierarchical Bayesian model combined with climate and geographical information, and was applied to the Seoul-Incheon-Gyeonggi region. The annual maximum daily rainfall depth of six automated synoptic observing system weather stations of the Korea Meteorological Administration in the study area was fitted to the generalized extreme value distribution. The applicability and reliability of the proposed method were investigated by comparing daily rainfall quantiles for various return levels derived from the at-site frequency analysis and the regional frequency analysis based on the index flood method. The uncertainty of the regional frequency analysis based on the index flood method was found to be the greatest at all stations and all return levels, and it was confirmed that the reliability of the regional frequency analysis based on the hierarchical Bayesian model was the highest. The proposed method can be used to generate the rainfall quantile maps for various return levels in the Seoul-Incheon-Gyeonggi region and other regions with similar spatial sizes.

A Study on the Analysis of Time-Regional Distribution of PRecipitation Frequency and Rainfall INternsity in Korea. (강수빈도 및 강우강도의 시공적 분포분석에 관한 연구)

  • 이재준;손광익
    • Water for future
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    • v.14 no.4
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    • pp.53-72
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    • 1981
  • In this study, South Korea is divided into 5 zones and is studied about the analysis of time-regional distribution of previpitation frequency and rainfall intensity in Korea. In the previpitation frequency analysis, the basic data groups of 39 stations were selected. The diagram of previpitation frequency was drawn, and the time-regional distribution of precipitation frequency was analized. In the rainfall intensity analysis, the basic data groups of 36 stations were selected. The probable rainfall, I-D-F curve, and regression equation between 24hr. and 10min.-18hr. areal depth were obtained. The results of this study are following; 1) The precipitation class of max. recurrence probability in every season except summer was commonly (1) 1-5mm, (2) 0.1-1mm, (3) 5-10mm in order. 2) The zone of max. recurrence frequency owing to the precipitation class was zone II in precipitation frequency of below 20mm, zone IV in precipitation frequency of 30-40mm, zone I in precipitation frequency of above 70mm for a year. 3) The recurrence probability of precipitation in Korea can be represented to the equation of exponential function; $$W(x)=e^{\alpha+\beta}$$ 4) The first and third zones were expected heavy rain for the short and long duration. 5) The I.D.F. curves were drawn, and established that the time interval for the least deviation of I.D.F curve is 10~40min., 40min. -4hr., 4~24hr. 6) The regression equations of areal mean depth between 24hr. and 10min.-18hr. for each zone were obtained. 7)The probable rainfall of 36 points were calculated.

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A Study on the Visibility Analysis Model for the Ward of General Hospital Considering Nurse's Circulation (종합병원 병동부 간호 이동 동선을 고려한 가시 특성 분석 모델에 관한 연구)

  • Kim, Seo-Yeong;Kweon, Jihoon
    • Journal of the Regional Association of Architectural Institute of Korea
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    • v.20 no.6
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    • pp.71-80
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    • 2018
  • The path and visibility of nurses in general hospital wards have been treated as architectural planning factors. However, the analysis approach of existing studies shows limitations that only fixed physical elements are considered without considering the behavior of users using space. Consider factors for analysis of ward and models based on this study model. Select a case hospital to apply the analysis technique and conduct the nurse questionnaire and route survey of the hospital. Establish a framework for analysis model applied with the path of nurse movements. The analysis model applies to the case hospital. The analysis results are aggregated to derive design suggestion for reference to the spatial improvement of the ward. Visible visibility to observe the bedside in the nursing station, visibility to observe the beds in the nurse's path, and visibility to observe patients moving in the nurse's path were derived from visual access frequency and exposure frequency. The survey of nurses' movements at the site allowed the nurses to calculate the distance required to move. Reflecting the path of nurse movement, a model was presented for a comprehensive analysis of nursing distance and nursing visibility, which could lead to improvement in the observation and visibility of nurses and the layout of patient rooms or day rooms.

Uncertainty assessment of point and regional frequency analysis using Bayesian method (베이지안기법을 이용한 지점 및 지역빈도해석의 불확실성 평가)

  • Lee, Jeonghoon;Lee, Okjeong;Kim, Sangdan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.406-406
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    • 2021
  • 극한강우사상의 분석은 다양한 극치 분포로 구성된 극치이론을 통해 가능하다. 일반적으로 단일 지점의 극한사상의 분석을 위한 지점빈도해석 (Point Frequency Analysis, PFA)이 다양한 재현기간에 해당하는 강우량을 추정하는데 널리 사용되어왔다. 하지만 수문기후학적 극치기록은 시간적 그리고 공간적으로 제한적이다. 따라서 모의 불확실성을 줄이고 신뢰성 높은 결과를 도출하기 위해 서로 유사한 분포를 가질 수 있는 인근 지점의 활용하는 지역빈도해석 (Regional Frequency Analysis, RFA) 방법이 개발되어 적용되고 있다. 본 연구에서는 부산, 울산, 경남지역의 기상청 종관기상관측시스템(Automated Synoptic Observing System, ASOS) 울산, 부산, 통영, 진주, 거창, 합천, 밀양, 산청, 거제, 남해지점 일강수량을 자료를 기반으로 Metropolis-Hasting 알고리즘을 사용하여 일반극치분포(Generalized Extreme Value, GEV)의 매개변수를 추정하고 PFA 및 RFA의 불확실성을 평가하고자 한다. 이러한 연구는 공간적 구성 요소(예, 지리적 좌표, 고도)를 고려하지 못하며 추가변수 (예, 공변량)를 분석에 결합할 수 없는 등의 RFA의 한계를 극복하고, 명시적으로 불확실성을 추정하여 결과의 신뢰성을 확보 할 수 있는 계층적 베이지안 모델의 개발에 도움이 되리라 기대된다.

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