• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.6
• /
• pp.111-117
• /
• 2009

The RUSLE(Revised Universal Soil Loss Equation) has been most widely used to estimate sediment yield in Korea. However RUSLE factors have not been verified based on measured data of sediment yield. The analysis of characteristics for the rainfall erosivity factor R was performed in this study. The R factor of RUSLE is expressed as multiple of total rainfall energy and maximum 30 min rainfall intensity. In this study, the characteristics of 10 rainfall energy equations were investigated using data measured in Gangneung experimental watershed, and applicability of each equations was reviewed based on results of the correlation analysis between measured sediment yield and total rainfall, between measured sediment yield and maximum intensity, and between measured sediment yield and total rainfall energy yield. Also, the relationship of I30 and I60 was proposed using 10-min rainfall data during 9 years.

• Environmental Engineering Research
• /
• v.15 no.4
• /
• pp.191-195
• /
• 2010

This study was carried out to investigate the important factors relating to runoff and pollutant loads in a plot unit located in an agricultural area. Of the precipitation parameters, such as total precipitation, days since last rainfall (ADD, the rainfall was more than 10mm) and average rainfall intensity on runoff, the strongest effect was obtained due to total precipitation, but the rainfall intensity showed a slightly positive correlation. It was expected that both variables, i.e. total precipitation and rainfall intensity, would lead to the generation of greater runoff. In contrast, runoff was negatively correlated with ADD, which is understandable because more infiltration and less runoff would be expected after a long dry period. The TSS load varied greatly, between 75.6 and $5.18{\times}10^4g$, per event. With the exception of TN, the TSS, BOD, COD and TP loads were affected by runoff. The correlations of these items were proportional to the runoff volume, with correlation coefficients (r) greater than 0.70, which are suitable for use as NPS model data. The TSS load showed very good relationships with organics (BOD & COD) and nutrients (TN & TP), with correlation coefficients greater than 0.79. Therefore, the removal of TSS is a promising factor for protecting water basins.

• Journal of Industrial Technology
• /
• v.30 no.B
• /
• pp.91-98
• /
• 2010

Recently, there has been enormous damage due to river floodings caused by localized heavy rains. The direct discharge triggered by those torrential rains inflicts severe property damage on the residents of nearby areas. To minimize the possibility of river floodings in case of heavy rains and to predict the possible damage, the management of existing rainfall and water level observatories should be checked and prediction methods based on the characteristics of water usage and floodgate of nearby rivers must be further analyzed. Therefore, this research analyzed the water level change predictions on different spots with a regression equation of rainfall and water levels, using the observation data of the water level observatory in Jeongseon-gun, Gangwon Province and the rainfall observatory which are located on the upper region of the Han river.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2009.04a
• /
• pp.269-270
• /
• 2009

This study builds a sediment rating curve using the measured sediment yield and the simulated soil erosion by a GIS-embedded empirical model. Then the structured sediment rating curve is used to determine the SDR on a basin scale in southern Korea. The whole data(year of 2002-2008) are divided into two groups and the first group(year of 2002-2005) is used for calibration, while the other is used for validation. Two cases(rainfall amount and rainfall intensity) are analyzed to consider the rainfall runoff erosivity factor in simulating soil erosion. The results show the derived SDR provides reasonable accuracy and rainfall intensity gives better performance in calculating soil erosion than rainfall amount.

• Journal of Korean Society of Water and Wastewater
• /
• v.26 no.1
• /
• pp.47-54
• /
• 2012

This study analyzed influence factors and the correlation among pollutants which affect occurrence of leaked pollution based on the long-term runoff flow and water quality investigation results to understand the characteristics of highway rainfall runoff pollution load. According to the result of correlation analysis on TSS (Total Suspended Solid) concentration, anteceded dry days, rainfall intensity, traffic volume and etc. as major influence factors of highway rainfall runoff pollution loads, the correlations were weak or scarce in most items. These results might be attributed that runoff pollutant concentration changes vary severely on changes of rainfall intensity and rainfall duration within rainfall and it is affected by disturbances of vehicles and street cleaning and etc. as characteristics of the highway. While Cu, Fe and Zn which are discharged with high concentrations out of heavy metals showed high correlation with particulate matter, organic matter(COD), nutrient(TN, TP), Ni and Pb showed relatively low correlation in a correlation evaluation by pollutant. Significant correlation with traffic volumes was not shown and TSS concentration even decreased in accordance with increase of the traffic volume. In the comparison with precedent studies, it was considered necessary additional analysis of the effects of rainfall section analysis, road type, disturbances of surface contaminants by vehicles, rainfall and climate conditions, surrounding terrains etc.

• Journal of Korea Water Resources Association
• /
• v.36 no.2
• /
• pp.153-159
• /
• 2003

When available rainfall data is not sufficient, a rough tendency of I-D-F relationship appeared frequently. In fact, rainfall intensity on the curve shows abnormally higher value the longer rainfall duration is applied that gives rise to great confusion to apply a rainfall I-D-F relationships curve to a practical work, however, the research work will present a way to solve above mentioned problem by the use of the Box-Cox transformation formula for a given rainfall data. The study came to a conclusion that the Box-Cox transformation formula is satisfied to utilize in a practical work on the ground of analysis for rainfall data of Sancheong and Yeongcheon.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2019.05a
• /
• pp.429-429
• /
• 2019

최근 들어 이상기후 등 다양한 환경적 요인으로 인해 국지적이고 집중적인 호우가 빈발하고 있으며 도로상의 교통체증과 도로재해가 사회적으로 큰 문제가 되고 있다. 이러한 문제를 해결하기 위해서는 실시간, 단기간 이동성 강우정보 기술과 도로 기상정보를 활용할 수 있는 방법에 대한 연구가 필요하다. 본 연구는 차량의 AW(AutoWiping) 기능을 위해 장착된 강우센서를 이용하여 강우정보를 생산하는 기술을 개발하고자 하였다. 강우센서는 총 4개의 채널로 이루어져있고, 초당 250개의 광신호 데이터를 수집하며, 1시간이면 약 360만 개의 데이터가 생산되게 된다. 5단계의 인공강우를 재현하여 실내 인공강우실험을 실시하고 이를 통해 강우센서 데이터와 강우량과의 상관성을 W-S-R관계식으로 정의하였다. 실내실험데이터와 비교하여 외부환경 및 데이터 생성조건이 다른 실외 데이터의 누적값을 계산하기 위해 Threshold Map 방식을 개발하였다. 강우센서에서 생산되는 대량의 데이터를 이용하여 실시간으로 정확한 강우정보를 생산하기 위해 빅 데이터 처리기법을 사용하여 계산된 실내 데이터의 Threshold를 강우강도 및 채널에 따라 평균값을 계산하고 $4{\times}5$ Threshold Map(4 = 채널, 5 = 강우정보 사상)을 생성하였고 강우센서 기반의 강우정보 생산에 적합한 빅데이터 처리기법을 선정하기 위하여 빅데이터 처리기법 중 Gradient Descent와 Optima Rainfall Intensity을 적용하여 분석하고 결과를 지상 관측강우와 비교검증을 하였다. 이 결과 Optima Rainfall Intensity의 적합도를 검증하였고 실시간으로 관측한 8개 강우사상을 대상으로 강우센서 강우를 생산하였다.

• The Journal of Engineering Geology
• /
• v.25 no.3
• /
• pp.377-385
• /
• 2015

We constructed a model test apparatus to evaluate the dependence of the saturation velocity (V_s) in soils on rainfall intensity (I_R). The apparatus comprises a soil box, a rainfall simulator, and measuring sensors. The model grounds (60 cm × 50 cm × 15 cm) were formed by Joomunjin standard sand with a relative density of 75%. The rainfall simulator can control the rainfall intensity to reenact the actual rainfall in a soil box. Time Domain Reflectometer (TDR) sensors and tensiometers were installed in the soils to measure changes in the volumetric water content and matric suction due to rainfall infiltration. During the tests, the soil saturation was determined by raising the groundwater table, which was formed at the bottom of the soil box. [Please check that the correct meaning has been maintained.] The wetting front did not form at the ground surface during rainfall because the soil particles were uniform and the coefficient of permeability was relatively high. Our results show that the suction stress of the soils decreased with increasing volumetric water content, and this effect was most pronounced for volumetric water contents of 20%-30%. Based on a regression analysis of the relationship between rainfall intensity and the average saturation velocity, we suggest the following equation for estimating the saturation velocity in soils: V_savg (cm/sec) = 0.068I_R (mm/hr).

• Proceedings of the Korean Geotechical Society Conference
• /
• 2009.09a
• /
• pp.369-376
• /
• 2009

Field investigation was performed right after the occurrence of debris flow at Jinbu area. Geomorphic and geotechnical characteristics were investigated and rain fall data were collected. Based on these data, seepage and slope stability analysis was performed to verify the behavior of ground water and factor of safety of the slope according to the rainfall intensity and time. As a results, the minimum value of factor of safety achieved in long time after the moment of maximum precipitation rate. And it is confirmed that the factor of safety is susceptible to ground water level rather than rainfall intensity.

• Proceedings of the Korean Society of Agricultural Engineers Conference
• /
• 2003.10a
• /
• pp.571-574
• /
• 2003

Three sediment traps were placed at the toe of sloping fields in the alpine belt of Korea and sediment removal efficiency was estimated. Soil texture of the site was sandy soil and 5 runoff and sediment events were observed during 2002. Sediment was largely affected by both the amount and intensity of rainfall. Especially, rainfall intensity seemed to have profound effect on sediment yield from sloping sandy fields. Sediment removal of the sediments ranged widely from 266 kg/ha to 16,974 kg/ha depending on tillage method, slope and slope length, and amount and intensity of rainfall. Sediment removal efficiency was estimated to be more than 98.8%. It was suggested that rational combination of sediment trap and drainage channel might well contribute to control sediment discharge from alpine sloping fields.