• Title/Summary/Keyword: accumulated rainfall

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Prediction of Reservoir Water Level using CAT (CAT을 이용한 저수지 수위 예측)

  • Jang, Cheol-Hee;Kim, Hyeon-Jun;Kim, Jin-Taek
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.1
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    • pp.27-38
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    • 2012
  • This study is to analyse the hydrological behavior of agricultural reservoir using CAT (Catchment hydrologic cycle Assessment Tool). The CAT is a water cycle analysis model in order to quantitatively assess the characteristics of the short/long-term changes in watershed. It supports the effective design of water cycle improvement facilities by supplementing the strengths and weaknesses of existing conceptual parameter-based lumped hydrologic models and physical parameter-based distributed hydrologic models. The CAT especially supports the analysis of runoff processes in paddy fields and reservoirs. To evaluate the impact of agricultural reservoir operation and irrigation water supply on long-term rainfall-runoff process, the CAT was applied to Idong experimental catchment, operated for research on the rural catchment characteristics and accumulated long term data by hydrological observation equipments since 2000. From the results of the main control points, Idong, Yongdeok and Misan reservoirs, the daily water levels of those points are consistent well with observed water levels, and the Nash-Sutcliffe model efficiencies were 0.32~0.89 (2001~2007) and correlation coefficients were 0.73~0.98.

A Forecast Model for the First Occurrence of Phytophthora Blight on Chili Pepper after Overwintering

  • Do, Ki-Seok;Kang, Wee-Soo;Park, Eun-Woo
    • The Plant Pathology Journal
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    • v.28 no.2
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    • pp.172-184
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    • 2012
  • An infection risk model for Phytophthora blight on chili pepper was developed to estimate the first date of disease occurrence in the field. The model consisted of three parts including estimation of zoosporangium formation, soil water content, and amount of active inoculum in soil. Daily weather data on air temperature, relative humidity and rainfall, and the soil texture data of local areas were used to estimate infection risk level that was quantified as the accumulated amount of active inoculum during the prior three days. Based on the analysis on 190 sets of weather and disease data, it was found that the threshold infection risk of 224 could be an appropriate criterion for determining the primary infection date. The 95% confidence interval for the difference between the estimated date of primary infection and the observed date of first disease occurrence was $8{\pm}3$ days. In the model validation tests, the observed dates of first disease occurrence were within the 95% confidence intervals of the estimated dates in the five out of six cases. The sensitivity analyses suggested that the model was more responsive to temperature and soil texture than relative humidity, rainfall, and transplanting date. The infection risk model could be implemented in practice to control Phytophthora blight in chili pepper fields.

Development of Korean Paddy Rice Yield Prediction Model (KRPM) using Meteorological Element and MODIS NDVI (기상요소와 MODIS NDVI를 이용한 한국형 논벼 생산량 예측모형 (KRPM)의 개발)

  • Na, Sang-Il;Park, Jong-Hwa;Park, Jin-Ki
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.3
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    • pp.141-148
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    • 2012
  • Food policy is considered as the most basic and central issue for all countries, while making efforts to keep each country's food sovereignty and enhance food self-sufficiency. In the case of Korea where the staple food is rice, the rice yield prediction is regarded as a very important task to cope with unstable food supply at a national level. In this study, Korean paddy Rice yield Prediction Model (KRPM) developed to predict the paddy rice yield using meteorological element and MODIS NDVI. A multiple linear regression analysis was carried out by using the NDVI extracted from satellite image. Six meteorological elements include average temperature; maximum temperature; minimum temperature; rainfall; accumulated rainfall and duration of sunshine. Concerning the evaluation for the applicability of the KRPM, the accuracy assessment was carried out through correlation analysis between predicted and provided data by the National Statistical Office of paddy rice yield in 2011. The 2011 predicted yield of paddy rice by KRPM was 505 kg/10a at whole country level and 487 kg/10a by agroclimatic zones using stepwise regression while the predicted value by KOrea Statistical Information Service was 532 kg/10a. The characteristics of changes in paddy rice yield according to NDVI and other meteorological elements were well reflected by the KRPM.

Development of Nomograph for Debris Flow Forecast (토석류 예보를 위한 Nomograph 작성)

  • Oh, Cheong Hyeon;Nam, Dong Ho;Lee, Suk Ho;Kim, Byung Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.297-297
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    • 2019
  • 최근 기후변화로 인해 전 세계적으로 태풍 및 국지성 집중호우로 인한 피해가 급증하고 있으며, 그로 인한 2차 피해인 산사태와 토석류 피해 또한 빈번하게 발생하고 있다. 한국 또한 토석류로 인해 도심지역의 피해가 급증하고 있으며, 많은 인명피해 및 재산피해가 발생하였다. 현재 한국에서는 산림청의 산사태 예보기준 및 기상청의 호우예보 기준을 사용하고 있으나, 토석류에 대한 예보 기준과 시스템은 부재하다. 따라서 본 연구에서는 토석류 예보를 위해 토석류가 발생했던 피해사례 40종을 수집하여 토석류가 발생했던 시점에서의 누적강우와 강우강도를 이용하여 강우경보지수(Rainfall Triggering Index, RTI)를 산정하였다. 또한 RTI를 강우량의 함수인 한계누적강우량(Critical Accumulated Rainfall, Rc)으로 변환하여 토석류 발생위험지역에 거주하는 일반인들이 강우지수에 대한 이해도를 높이고자 하였다. 토석류 예보를 위하여 RTI 10, 70, 90%에 해당하는 한계누적강우량(Rc)을 산정하여 지속시간에 따른 Rc곡선을 작성하였으며 Nomograph를 이용하여 시간에 따른 토석류 예보 단계를 시각적으로 표출하였다. 또한 실제 토석류가 발생했던 인제, 서울, 청주의 사례에 대해 Nomograph를 작성하여 산림청, 기상청의 예보 기준과 비교 분석하였다.

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Development of Wetershed Runoff Index for Major Control Points of Geum River Basin Using RRFS (RRFS에 의한 금강수계의 주요지점별 유역유출지표 개발)

  • Lee, Hyson-Gue;Hwang, Man-Ha;Koh, Ick-Hwan;Maeng, Seung-Jin
    • The Journal of the Korea Contents Association
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    • v.7 no.3
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    • pp.140-151
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    • 2007
  • In this study, we attempted to develop a watershed runoff index subject to main control points by dividing the Geum River basin into 14 sub-basins. The Yongdam multipurpose dam Daecheong multipurpose dam and Gongju gage station were selected to serve as the main control points of the Geum River basin, and the observed flow of each control point was calculated by the discharge rating curve, whereas the simulated flow was estimated using the Rainfall Runoff Forecasting System (RRFS), user-interfaced software developed by the Korea Water Corporation, based on the Streamflow Synthesis and Reservoir Regulation (SSARR) model developed by the US Army Corps of Engineers. This study consisted of the daily unit observed flow and the simulated flow of the accumulated moving average flow by daily, 5-days, 10-days, monthly, quarterly and annually, and normal monthly/annually flow. We also performed flow duration analysis for each of the accumulated moving average and the normal monthly/annually flows by unit period, and abundant flow, ordinary flow, low flow and drought flow estimated by each flow duration analysis were utilized as watershed runoff index by main control points. Further, as we determined the current flow by unit period and the normal monthly/annually flow through the drought and flood flow analysis subject to each flow we were able to develop the watershed runoff index in a system that can be used to determine the abundance and scarcity of the flow at the corresponding point.

Development of Domestic Rainwater Treatment System and its Application in the Field (소규모 빗물처리시설 개발 및 현장 적용성 평가 연구)

  • Pak, Gijung;Park, Minseung;Kim, Hwansuk;Lim, Yoonsoo;Kim, Sungpyo
    • Journal of Wetlands Research
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    • v.18 no.1
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    • pp.24-31
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    • 2016
  • The increase of impervious area in cities caused the unbalanced water cycle system and the accumulated various contaminants, which make troubles as introducing into watershed. In Korea, most of rainfall in a year precipitate in a summer season. This indicate that non-point source pollution control should be more important in summer and careful rainfall reuse strategy is necessary. Accordingly, the aim of this study is to monitor the characteristics of rainfall contaminants harvested in roofs and to develop the rainfall treatment system which are designed to fit well in a typical domestic household including rain garden. The rain garden consists of peatmoss, gravel and san to specially treat the initial rainfall contaminants. For this purpose, lab scale experiments with synthetic rainfall had been conducted to optimize the removal efficiency of TN, TP and CODcr. After lab scale experiments, field scale rainfall treatment system installed as a pilot scale in a field. This system has been monitored during June to July in 2015 in four time rainfall events as investigating the function of time, rainfall, and pollutant concentrations. As results, high loading of pollutants were introduced to the rainfall treatment system and its removal efficiency is increased as increase of pollutant concentrations. Since it is common that the mega-size of rainfall treatment system is not attractive in urban area, small scale rainfall treatment system is promising to treat the non-point source contaminants from cities. In addition, this small scale rainfall treatment system could have a potential to water resue system in islands, which usually suffer the shortage of water.

Correction of Radar Reflectivity over Beam Blocking Area by Accumulated Radar Reflectivity (레이더 반사도 누적 방법을 이용한 지형에 의한 부분차폐영역의 레이더 반사도 보정)

  • Park, Sung-Hwan;Jung, Sung-Hwa;Lee, Jung-Hoon;Kim, Kyeong-Eak
    • Journal of Korea Water Resources Association
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    • v.42 no.8
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    • pp.607-617
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    • 2009
  • Radar beam blocking which is partially or entirely interrupted by obstacles like a mountain causes underestimation of the rainfall. In this paper, partially blocked radar reflectivity is retrieved using the ARM(Accumulated Reflectivity Map). ARM is made by accumulation of the radar reflectivity and very useful product to analyze the beam blockage. The blockage correcting map could be obtained by assuming the spatially uniform reflectivity field in the ARM. This method is applied to the cases of typhoon and Changma, and we obtain the MFE(Mean Fractional Error) from two radar data, the one is objective radar data which is affected by blockage and the other is comparative radar data which is not affected by blockage. Before blocking correction, MFE is 20-35%. However, after correction, MFE decreases to 7-10%.

Long Term Changes of the Amount of Surface Runoff in Forest Fire Area (산불발생지에 있어서 표면유출수량의 장기적인 변화에 관한 연구)

  • Ma, Ho-Seop;Jeong, Won-Ok
    • Journal of Korean Society of Forest Science
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    • v.98 no.4
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    • pp.458-463
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    • 2009
  • The purpose of this study was to evaluate the changes of surface runoff by comparisons between burned and unburned area after forest fire. The amount of surface runoff in burned area was more high 1.72 times in the year of fire, 1.44 times in one year later, 1.38 times in five years later and 1.16 times in ten years later than those of unburned area. Therefore, surface runoff in the burned area almost tended to be stabilized like unburned area ten year later after forest fire. The most affecting factors on the amount of surface runoff in burned and unburned area were number of unit rainfall, number of rainfall accumulated and unit rainfall. But coverage was shown to mitigate the amount of surface runoff in burned and unburned area.

The Synoptic Meteorological Characteristics of Spring Rainfall in South Korea during 2008~2012 (최근 5년(2008~2012) 간 우리나라에 내린 봄비의 종관기상학적 특성)

  • Park, So-Yeon;Lee, Yong-Gon;Kim, Jung-Yun;Ahn, Suk-Hee;Kim, Baek-Jo
    • Journal of Environmental Science International
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    • v.22 no.4
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    • pp.443-451
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    • 2013
  • Spring rainfall events were comprehensively analyzed based on the distribution of precipitation amount and the related synoptic weather between 2008~2012. Forty-eight cases are selected among the rain events of the entire country, and each distribution of the 24-hour accumulated precipitation amount is classified into three types: evenly distributed rain(Type 1), more rain in the southern area and south coast region (Type 2), and more rain in the central region (Type 3), respectively. Type 1 constitutes the largest part(35 cases, 72.9%) with mean precipitation amount of 19.4 mm, and the 17 cases of Type 1 are observed in March. Although Type B and C constitutes small parts (11 cases, 22.9% and 2 cases, 4.2%), respectively. The precipitation amount of these types is greater than 34.5 mm and occurred usually in April. The main synoptic weather patterns affecting precipitation distribution are classified into five patterns according to the pathway of low pressures. The most influential pattern is type 4, and this usually occurs in March, April, and May (Low pressures from the north and the ones from the west and south consecutively affect South Korea, 37.5%). The pattern 3(Low pressures from the south affect South Korea, 25%) happens mostly in April, and the average precipitation is usually greater than 30 mm. This value is relatively higher than the values in any other patterns.

Long-Term Change of the Amount of Soil Erosion in Forest Fire (산불 피해지 토양침식량의 장기적인 변화에 관한 연구)

  • Ma, Ho-Seop;Jeong, Won-Ok
    • Journal of Korean Society of Forest Science
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    • v.97 no.4
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    • pp.363-367
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    • 2008
  • The purpose of this study was to evaluate the change of the amount of soil erosion by comparisons between burned and unburned area after forest fire. The amount of soil erosion in burned area was more high 11.2 times in year of fire, 8.4 times in 1 later year, 2 times in 5 later year and 1.3 times in 10 later year than in unburned area. The ratio of soil erosion in burned area was reduced to 98% of 10 later year as compared to the year of fire. Therefore, the soil erosion in the burned area almost tended to stabilization like unburned area passing ten year after forest fire. The most affecting factors on the amount of soil erosion in burned and unburned area were unit rainfall, number of unit rainfall and number of rainfall accumulated.