• Title/Summary/Keyword: Huff's Distribution

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A Study on the Improvement of Huff's Method in Korea : I. Review of Applicability of Huff's method in Korea (Huff 강우시간분포방법의 개선방안 연구 : I. Huff방법의 국내유역 적용성 검토)

  • Jang Su-Hyung;Yoon Jae-Young;Yoon Yong-Nam
    • Journal of Korea Water Resources Association
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    • v.39 no.9 s.170
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    • pp.767-777
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    • 2006
  • The goal of this study is to improve Huff's method which is the most popular method for rainfall time distribution in Korea. As the first step, we reevaluated the context of Huff's original research motivations, geography and rainfall pattern of study area, and compared that to Korean situations. In original Huff's results, no change in temporal distribution characteristics were found for different rainfall durations. This was found to be different from Korean situations. Furthermore, results from the MOCT(Ministry of Construction and Transportation) version of Huff's method is on a gage basis not on a watershed basis, thus making it difficult to select cumulative rainfall curves representative of a watershed. In addition, all rainfall data regardless of their magnitude were used in the MOCT version of Huff' method which is different from original Huff's which screened out data by using a threshold value of 25.4mm. For both point and areal mean rainfall, time distribution characteristics of rainfall for various durations were found to be different. This was statistically proven by K-S test at 5% significance level as some cumulative rainfall curves developed from the rainfall data of certain durations were found to be not significant with cumulative rainfall curves developed from the rainfall data of all durations. Therefore, in order to apply Huff's method to Korean situations, it is recommended that dimensionless cumulative curve must be developed for various rainfall duration intervals using rainfall data greater than a certain threshold value.

Time Distribution Characteristics of an Annual Maximum Rainfall According to Rainfall Durations using Huff's Method (Huff의 4분위법을 이용한 지속기간별 연 최대치 강우의 시간분포 특성연구)

  • Lee, Jong-Kyu;Chu, Hyun-Jae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5B
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    • pp.519-528
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    • 2006
  • In the construction of hydraulic structures deciding a design flood is one of the most important works. It should be especially noted that the time distribution of the design rainfall method makes a significant effect on the results of the design flood. Thus, choosing an appropriate time distribution method for the design rainfall is a very important process. In recent years, Huff's method is usually used in Korea. This method presents dimensionless rainfall-time cumulative curves, which are made through the analyses of storm data. In this study, the annual maximum rainfall data, from 1961 to 2004 were analyzed to make the dimensionless rainfall-time cumulative curves and hyetographs in Seoul. The results were compared with the "Regional Time Distribution of the Design Rainfall", (KICT, 1989 and MCT, 2000). As a result, the dimensionless rainfall-time cumulative curves are smoother than Huff's results when the duration of an annual maximum rainfall is short. In addition, the curves are similar with the Huff's results as the duration is longer.

Improvement of Huff's Method Considering Severe Rainstorm Events (집중호우 사상을 고려한 Huff의 4분위법 개선방안)

  • Choi, Soyung;Joo, Kyungwon;Shin, Hongjoon;Heo, Jun-Haeng
    • Journal of Korea Water Resources Association
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    • v.47 no.11
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    • pp.985-996
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    • 2014
  • When designing hydraulic structures, the chosen method of time distribution in a hyetograph is highly significant. There are several methods used for measuring time distribution. In the case of Huff (1967), which is widely used in Korea, the Ministry of Construction and Transportation (MOCT, 2000), and the Ministry of Land, Transport and Maritime Affairs (MOLTMA, 2011) have long been increasing their use of this method. The MOLTMA uses the conventional Huff method's measurement of 1 inch (25.4 mm) as the threshold. Many researchers have pointed out that this method often leads to underestimation, because of the excessive flatness. Therefore, for this study, a new time distribution method was developed to analyze only extreme rainfall events-those over the standard of severe rainstorms (that is, more than 30 mm per hour or 80 mm per day)-and that was verified using a rainfall-runoff model and applying it to a real basin.

A Runoff Characteristics Analysis for the Design of Interior Drainage Systems at Urbanization Catchment in the Cheju Volcanic Island (제주도 화산도서에서 도시화유역 내수처리시스템 설계를 위한 유출특성분석)

  • 김성원
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.41 no.1
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    • pp.39-51
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    • 1999
  • This study has an object to evaluate runoff characteristics with ILLUDAS model and SWMM owing to each rainfall distribution type of Huff's quartile and each rainfall duration time of 30 ,60, 120 and 180 minutes. As a result of this study, Type-Ⅰ Extreme (TIE) rainfall distribution pattern with Huff's 2nd quartile is adequate for Cheju volcanic island . To decide optimal rain fall duration , time of concentration and critical duration should be compared and analyzed each other. In this study, 30 and 120 miniutes were suggeste to iptiaml duration time of A and B study basins. It is concluded that the magnitude of peak runoff discharge is maximum with Huff's 4th quartile, and that of total runoff volume is maximum with Huff's 4th quartile for ILLUDAS model and with Huff's 1st quartile for SWMM. As rainfall duration time increasing is increasing . Also in case of total runoff volume, volumen by SWMM is less than by ILLUDAS model as to variation ratio of total runoff volume in A and B study basin. Therefore, the resulots of this study canb e sued as basic data in determining adequate rainfoal duration time and rainfall distribution type and used for urban drainage systems analysis and design at small urbanization catchment is Cheju volcanic island.

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Statistical significance test of polynomial regression equation for Huff's quartile method of design rainfall (설계강우량의 Huff 4분위 방법 다항회귀식에 대한 유의성 검정)

  • Park, Jinhee;Lee, Jaejoon;Lee, Sungho
    • Journal of Korea Water Resources Association
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    • v.51 no.3
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    • pp.263-272
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    • 2018
  • For the design of hydraulic structures, the design flood discharge corresponding to a specific frequency is generally used by using the design storm calculated according to the rainfall-runoff relationship. In the past, empirical equations such as rational equations were used to calculate the peak flow rate. However, as the duration of rainfall is prolonged, the outflow patterns are different from the actual events, so the accuracy of the temporal distribution of the probability rainfall becomes important. In the present work, Huff's quartile method is used for the temporal distribution of rainfall, and the third quartile is generally used. The regression equation for Huff's quadratic curve applies a sixth order polynomial equation because of its high accuracy throughout the duration of rainfall. However, in statistical modeling, the regression equation needs to be concise in accordance with the principle of simplicity, and it is necessary to determine the regression coefficient based on the statistical significance level. Therefore, in this study, the statistical significance test for regression equation for temporal distribution of the Huff's quartile method, which is used as the temporal distribution method of design rainfall, is conducted for 69 rainfall observation stations under the jurisdiction of the Korea Meteorological Administration. It is statistically significant that the regression equation of the Huff's quartile method can be considered only up to the 4th order polynomial equation, as the regression coefficient is significant in most of the 69 rainfall observation stations.

Analysis of the optimal excess probability of the Huff's time distribution according to the type of rainfall on the Korean Peninsula (한반도 강우형태에 따른 Huff 시간분포의 최적 초과확률 분석)

  • Seol, Seong Hoon;Jang, Suk Hwan;Choi, Hong Chan;Yoon, Tae Hee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.417-417
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    • 2022
  • 현재 수공 구조물 설계 시 설계강우량으로써 빈도해석과정을 통해 산정된 확률강우량을 적용하고 있다. 하지만 확률강우량의 경우 시계열 강우분포형태를 알 수 없는 문제가 존재한다. 강우의 시간분포 형태는 비점오염, 강우에 의한 수식 등 도달시간과 첨두 홍수량에 지대한 영향을 미치는 요소이다. 현재 국내에서는 Huff 4분위법이 널리 사용되고 있지만 Huff 4분위법은 기존의 강우패턴을 평균하였기 때문에 자연현상인 강우의 다양하고 복잡한 분포형태를 반영하기 어렵다는 문제를 가지고 있으며, Huff 4분위법이 갖는 한계로 정의할 수 있다. 따라서 본 연구에서는 Huff 4분위법이 갖는 한계를 보완하기 위해 설계홍수량산정지침에서 제시하고 있는 초과확률 50%의 시간분포 값을 산정하는 것에서 벗어나 한반도의 강우형태와 최근 20년간의 강우 패턴 변화를 고려한 최적 초과 확률값을 선정하였다.

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Comparison of Urban Runoff Models for Interior Drainage in Urban Basin (도시유역의 내수배제를 위한 도시유출모델의 비교)

  • Choi, Yun-Young;Lee, Yeong-Hwal;Jee, Hong-Kee
    • Journal of Korean Society of Water and Wastewater
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    • v.14 no.3
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    • pp.251-259
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    • 2000
  • In this study, the urban runoff models, ILLUDAS model and SWMM, are analyzed the probable peak discharge and discharge using rainfall distribution by Huff's method at Bum-uh chun area in Taegu city. The probability rainfall and intensity is analyzed by Pearson-III type. The rainfall duration, 90 minutes, is determined by the critical duration computed the maximun peak discharge for some rainfall durations. The peak discharge according to Huff's rainfall distribution types compute in order of type 3, type 4, type2, and type 1, so Huff's 3 type is selected as an adequate rainfall distribution in Bum-uh chun basin. ILLUDAS model and SWMM are shown as good models in Bum-uh chun, but SWMM is computed higher peak discharge than ILLUDAS model, so SWMM is shown as the adequate urban runoff model for the design of interior drainage in urban basin.

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A Study on the Improvement of Huff's Method for Applying in Korea : II. Improvement of Huff's Method (Huff 강우시간분포방법의 개선방안 연구 : II. Huff 방법의 개선방안)

  • Jang Su-Hyung;Yoon Jae-Young;Yoon Yong-Nam
    • Journal of Korea Water Resources Association
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    • v.39 no.9 s.170
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    • pp.779-786
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    • 2006
  • In this study, we propose a new method that utilizes rainfall data in and out of a basin, which is greater than 25.4mm for point rainfall or 12.7mm for areal mean rainfall respectively. From our analysis, most frequent quartile for point and areal mean rainfall were found to be the same in general for various rainfall duration intervals. From an evaluation of design rainfall per each rainfall duration distributed in time by the MOCT(Ministry of Construction and Transportation) version of Huff's method and this study, peak rainfall intensity by this study was found to be greater than the one by MOCT, but there were no consistent increase or decrease of this difference with rainfall durations. Using the distributed design rainfall per each duration by MOCT and this study, corresponding flood inflow hydrographs were simulated and compared each other. Contrary to the case of peak rainfall intensity, difference in peak flow by both methods per each rainfall duration started to increase from about 12-hr duration. Especially, the difference in peak flow was significant when critical rainfall duration was considered, and this trend was similar for peak flows of other rainfall durations. Therefore, the method proposed in this study is thought to be the effective procedure for the construction of dimensionless cumulative rainfall curve that is representative of a basin while considering time distribution characteristics for different rainfall durations.

A Study on the Trade Area Analysis Model based on GIS - A Case of Huff probability model - (GIS 기반의 상권분석 모형 연구 - Huff 확률모형을 중심으로 -)

  • Son, Young-Gi;An, Sang-Hyun;Shin, Young-Chul
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.2
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    • pp.164-171
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    • 2007
  • This research used GIS spatial analysis model and Huff probability model and achieved trade area analysis of area center. we constructed basic maps that were surveyed according to types of business, number of households etc. using a land registration map of LMIS(Land Management Information System) in Bokdae-dong, Cheongju-si. Kernel density function and NNI(Nearest Neighbor Index) was used to estimate store distribution center area in neighborhood life zones. The center point of area and scale were estimated by means of the center area. Huff probability model was used in abstracting trade areas according to estimated center areas, those was drew map. Therefore, this study describes method that can apply in Huff probability model through kernel density function and NNI of GIS spatial analysis techniques. A trade area was abstracted more exactly by taking advantage of this method, which will can aid merchant for the foundation of small sized enterprises.

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An Analysis of the Temporal Pattern according to Hydrologic Characteristics of Short-Duration Rainfall (단시간강우의 수문학적 특성에 따른 시간분포 분석)

  • Lee, Jung-Sik;Shin, Chang-Dong;Chang, Jin-Wook
    • Journal of the Korean Society of Hazard Mitigation
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    • v.6 no.3 s.22
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    • pp.57-68
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    • 2006
  • The objective of this study is to analyze the temporal pattern characteristic of short-duration rainfall defined as a rainfall durations of 6 hours or less by the Huff's 4th quartile distribution. To analyze the temporal pattern characteristic of short-duration rainfall, the rainfall data are classified by rainfall duration and rainfall type(Changma, Typhoon, Severe rain storm, Frontal storm) and change of rainfall segment. Also, the results of this study compared with result of research work of Korea Institute of Construction Technology(1989) and Ministry of Construction & Transportation(2000). The conclusions of this study are as follows; (1) Short-duration rainfall with duration of 6 hours or less is found to be most prevalent frist-quartile storms. (2) In the case of rainfall type, Changma and Severe rain storms and Frontal storm is found second-quartile storms, and Typhoon is found third-quartile storms. (3) In the result by change of sixth segment storms, the type of temporal pattern of rainfall is found to be most prevalent two sixth parts, (4) Comparative analysis of the results shows that shapes of the dimensionless cumulative curves and values are different from those of existing researches.