• Title/Summary/Keyword: Storm rainfall

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Identification of Factors Affecting the Occurrence of Temporal Patterns of Rainfall in Gamcheon Watershed (감천유역에 대한 강우양상 발생 영향인자의 규명 및 해석)

  • Ahn, Ki-Hong;Cho, Wan-Hee;Han, Kun-Yeun
    • Journal of the Korean Society of Hazard Mitigation
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    • v.9 no.2
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    • pp.77-85
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    • 2009
  • In South Korea, seasonal, local and temporal climatic characteristics are variable in rainfall patterns. To design or assess the reliability of hydrosystem, information about the rainfall event under consideration is important. In this process, the complete description of a design storm involves the specification of rainfall duration, depth, and its temporal pattern. Generally, to use an appropriate temporal pattern for a design storm is of great importance in the design and evaluation of hydrological safety for hydrosystem. For purpose of selecting of factors affecting the occurrence of rainfall patterns, Huff's dimensionless method was executed and examined by statistical contingency tables analysis through which the inter-dependence of the occurrence frequency of rainfall patterns with respect to geographical location, rainfall duration and depth, and seasonality is investigated. This analysis result can be used to establish flood policies and to design or assess the reliability of hydrosystem.

Estimation Error of Areal Average Rainfall and Its Effect on Runoff Computation (면적평균강우의 추정오차와 유출계산에 미치는 영향)

  • Yu, Cheol-Sang;Kim, Sang-Dan;Yun, Yong-Nam
    • Journal of Korea Water Resources Association
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    • v.35 no.3
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    • pp.307-319
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    • 2002
  • This study used the WGR model to generate the rainfall input and the modified Clark method to estimate the runoff with the aim of investigating how the errors from the areal average rainfall propagates to runoff estimates. This was done for several cases of raingauge density and also by considering several storm directions. Summarizing the study results are as follows. (1) Rainfall and runoff errors decrease exponentially as the raingauge density increases. However, the error stagnates after a threshold density of raingauges. (2) Rainfall errors more affect to runoff estimates when the density of raingauges is relatively low. Generally, the ratio between estimation errors of rainfall and runoff volumes was found much less than one, which indicates that there is a smoothing effect of the basin. However, the ratio between estimation errors of rainfall to peak flow becomes greater than one to indicate the amplification of rainfall effect to peak flow. (3) For the study basin in this studs no significant effect of storm direction could be found. However, the runoff error becomes higher when the storm and drainage directions are identical. Also, the error was found higher for the peak flow than for the overall runoff hydrograph.

Application of Equivalent Ellipses for the Qualification of the Spatial Scale of Rainfall Event (호우사상의 공간규모 정량화를 위한 등가타원의 적용)

  • Kim, Ha-Young;Park, Chang-Yeol;Yoo, Chul-Sang
    • Journal of Korea Water Resources Association
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    • v.44 no.4
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    • pp.327-338
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    • 2011
  • This study examined the quantification problem of a storm shape using the concept of equivalent ellipses. The equivalent ellipses of a storm event were estimated at every time step with respect to the several thresholds of rainfall intensity, which was also examined in terms of their size and number. In addition, the average equivalent ellipse was decided, and the confidence intervals of major axis, minor axis, and rotational angle were calculated to evaluate if the average equivalent ellipse could be the representative one. As results, the following results could be derived. First of all, the number of equivalent ellipses and the size of equivalent ellipses increase as the threshold increase. Secondly, the appropriate ratio of major and minor axises of equivalent ellipse is 2 : 1. Finally, the average rotational angle estimated with respect to several threshold rainfall intensities were all found not to be statistically different from that of all representative rotational angles.

Characteristics of Suspended Solids Export from Paddy Fields (논에서의 SS 유출 특성)

  • Lee, Kyoungsook;Jung, Jaewoon;Choi, Dongho;Yoon, Kwangsik;Choi, Woojung;Choi, Soomyung;Lim, Sangsun;Park, Hana;Lim, Byungjin;Choi, Gangwon
    • Journal of Korean Society on Water Environment
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    • v.27 no.6
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    • pp.868-876
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    • 2011
  • A five-year field monitoring was conducted to monitor characteristics of suspended solid (SS) export from paddy fields. The observed EMCs of SS ranged 1.2~517 mg/L (avg. 52.1 mg/L) during storm period. The concentration of SS during non-storm period were 1.1~349.5 mg/L (avg. 36.1 mg/L). Monthly load of SS was high during summer when rainfall amount was high. The load was higher than that of May when tillage effect is expected. There was no significant relationship between SS EMCs and rainfall or drainage amount. However, effects of rainfall and drainage were found to be significant for event load of SS. But, there was no apparent relationship between rainfall amount of cropping period and load of SS for that period. The observed SS load was 164.8~456.0 kg/ha (avg. 301.2 kg/ha) and mostly occurred during storm period. This study results also suggested that SS load estimation by USLE equation for paddy field could be overestimated, if not carefully handled. Monitoring studies for various climate, soil, and agricultural management are required to get better scope of SS export from paddy fields.

Development of Rainfall Forecastion Model Using a Neural Network (신경망이론을 이용한 강우예측모형의 개발)

  • 오남선
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1996.10a
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    • pp.253-256
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    • 1996
  • Rainfall is one of the major and complicated elements of hydrologic system. Accurate prediction of rainfall is very important to mitigate storm damage. The neural network is a good model to be applied for the classification problem, large combinatorial optimization and nonlinear mapping. In this dissertation, rainfall predictions by the neural network theory were presented. A multi-layer neural network was constructed. The network learned continuous-valued input and output data. The network was used to predict rainfall. The online, multivariate, short term rainfall prediction is possible by means of the developed model. A multidimensional rainfall generation model is applied to Seoul metropolitan area in order to generate the 10-minute rainfall. Application of neural network to the generated rainfall shows good prediction. Also application of neural network to 1-hour real data in Seoul metropolitan area shows slightly good predictions.

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Application of Rainfall-Runoff Models and Provision of Radar Rainfall Data during Flood in Imjin River Basin (임진강 유역의 홍수기 강우-유출모형 적용 및 레이더강우 자료의 활용방안)

  • Kim Seong-joon;Park Roh-hyuk;Maeng Sung-jin
    • KCID journal
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    • v.5 no.1
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    • pp.47-62
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    • 1998
  • The purpose of this study is to evaluate storm runoff models of Imjin river basin(8,117.5$km^2$) for the provision of radar rainfall situation. Two lumped models, Storage Function Model(SFM) and HEC-1 model which are now in use broadly and prov

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The Characteristics of Heavy Rainfall in Summer over the Korean Peninsula from Precipitation Radar of TRMM Satellite : Case Study (TRMM/PR 관측에 의한 한반도에서의 여름철 호우의 특성 : 사례연구)

  • 박혜숙;정효상;노유정
    • Korean Journal of Remote Sensing
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    • v.16 no.1
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    • pp.55-64
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    • 2000
  • The Tropical Rainfall Measuring Mission(TRMM) Satellite was launched in November 1997, carving into orbit the first space-borne Precipitation Radar(PR). The main objective of the TRMM is to obtain and study multi-year science data sets of tropical and subtropical rainfall measurements. In the present investigation, the characteristics of heavy rainfall cases over Korea in 1998 and 1999 are analyzed using the TRMM/PR dat3. We compare the rainrate measured from TRMM/PR with the accumulated rainfall data for 10 minutes tv Automatic Weather System(AWS). Especially, horizontal cross-section of rainrate with height and longitude in the precipitating clouds are investigated. As a result of the comparison with GMS-5 IR1, the TRMM/PR data delineate well the rain type( i.e. convective, stratiform cloud and others), height of storm top and instantaneous rainrate in the precipitating clouds. The vertical structure with height and horizontal cross-section of rainrate along the longitude show the orographic effect on the rainfall. TRMM/PR instrument measures the rainrate below 6 ㎜/hr more than AWS rainguages and inclined to underestimate the rainrate than rainguages for the whole area.

Distribution of average rainfall event-depth for overflow risk-based design of detention storage basin (월류위험도 기반 저류지 설계를 위한 평균강우량도 작성)

  • Kim, Dae Geun;Park, Sun Jung
    • Journal of Korean Society of Water and Wastewater
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    • v.22 no.1
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    • pp.15-22
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    • 2008
  • This study collected the latest 30-year (1976~2005) continuous rainfall data hourly recorded at 61 meterological observatories in Korea, and the continuous rainfall data was divided into individual rainfall events. In addition, distribution charts of average rainfall event-depth were created to facilitate the application to the overflow risk-based design of detention storage basin. This study shows that 4 hour is appropriate for SST (storm separation time) to separate individual rainfall events from the continuous rainfall data, and the one-parameter exponential distribution is suitable for the frequency distribution of rainfall event depths for the domestic rainfall data. The analysis of the domestic rainfall data using SST of 4 hour showed that the individual rainfall event was 1380 to 2031 times, the average rainfall event-depth was 19.1 to 32.4mm, and ranged between 0.877 and 0.926. Distribution charts of average rainfall event-depth were created for 4hour and 6 hour of SST, respectively. The inland Gyeongsangbuk-do, Western coastal area and inland of Jeollabuk-do had relatively lower average rainfall event-depth, whereas Southern coastal area, such as Namhae, Yeosu, and Jeju-do had relatively higher average rainfall event-depth.

Application of a Distribution Rainfall-Runoff Model on the Nakdong River Basin

  • Kim, Gwang-Seob;Sun, Mingdong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.976-976
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    • 2012
  • The applicability of a distributed rainfall-runoff model for large river basin flood forecasts is analyzed by applying the model to the Nakdong River basin. The spatially explicit hydrologic model was constructed and calibrated by the several storm events. The assimilation of the large scale Nakdong River basin were conducted by calibrating the sub-basin channel outflow, dam discharge in the basin rainfall-runoff model. The applicability of automatic and semi-automatic calibration methods was analyzed for real time calibrations. Further an ensemble distributed rainfall runoff model has been developed to measure the runoff hydrograph generated for any temporally-spatially varied rainfall events, also the runoff of basin can be forecast at any location as well. The results of distributed rainfall-runoff model are very useful for flood managements on the large scale basins. That offer facile, realistic management method for the avoiding the potential flooding impacts and provide a reference for the construct and developing of flood control facilities.

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A Case Study on Development of Stormwater Retention and Infiltration Pond System (우수저류 및 침투연못 시스템개발 사례연구 - 우수 저류 및 침투 효과를 중심으로 -)

  • Lee, Jae Chul;Yoon, Yeo Jin
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.6 no.4
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    • pp.52-61
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    • 2003
  • This study was carried out to analyze the effects of stormwater retention and infiltration pond on reduction of flood peak and volume in a experimentally developed ecological pond. The experimental site has 542$m^2$ watershed area, 1,310mm yearly-averaged rainfall. And the area of the retention pond is 60$m^2$, the maximum water depth is 0.5m, the maximum and average storage is 15$m^3$and 9.3$m^3$d. And the area of infiltration pond is 58$m^2$, and the water depth varies 0.2m~0.5m. The monitoring system consists of one rainfall gage, one Parshall flume and acoustic water level gage, two rectangular weirs and acoustic water level gage for discharge gaging, and one data recording unit. Data from ten storm events in total, three storm events in year 2000 and seven storm events in year 2001, were collected. From the data the evaporation rate was achieved with the water balance equation, and the result shows 5.0mm/day in average. The result from the analysis of the effects on reduction of flood peak and volume, is that 14% reduction of flood volume and 15% reduction of flood peak in retention pond and 49% reduction of flood volume in infiltration pond.