• 한국농공학회논문집
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• 제49권1호
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• pp.3-13
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• 2007

In this study, spatial characteristics of rainfall in Imha basin were investigated by cross-correlation analysis among rainfall gaging stations and rainfall-runoff analysis used in HEC-HMS model for analysis of influence on observed rainfall. The Kriging technique was applied to rain(all analysis in Imha basin to reflect spatial characteristics of regional rainfall. Their results are compared to rainfall-runoff data with spatially distributed rainfall data as well as the classical thiessen method. The results by kriging technique approached by geostatistical method could reflect spatial characteristics of regional rainfall properly in Imha basin.

• 한국환경과학회지
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• 제27권10호
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• pp.845-851
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• 2018

In this study, the runoff characteristics of the non-rainfall period were examined using daily rainfall data from 1977 to 2017 and the data of runoff into the dam. Results showed that, the mean runoff decreases with longer non-rainfall periods in the Andong dam basin. The correlation coefficient between non-rainfall days and average runoff reaches 0.85. The results of the analysis of the runoff characteristics during the non-rainfall period, based on the preceding rainfall of Andong dam are as follows. The runoff characteristics of the entire non-rainfall period, shows that, for a rainfall of 1.0 mm or less, the runoff height was larger than the rainfall size and the base runoff larger. The correlation between the antecedent rainfall and runoff height was reached as high as 0.9864 in the 30 ~ 50 mm interval of the antecedent rainfall period, and this is the interval where the linearity of rainfall and runoff was at its maximum in the Andong dam basin. The correlation between the antecedent rainfall and the runoff height reached 0.92 for rainfalls of 100.0 mm. However, for rainfalls of 100.0 mm greater, the correlation between the antecedent rainfall and runoff height during the rainfall period was 0.64, which is relatively small. In this study, we investigated the runoff characteristics of the rainfall period in the Andong dam watershed. As a result, it was confirmed that the mean runoff decreased with rainfall duration. The linearity was found to be weak for rainfall events greater than 100.0 mm. The results of this study can be used as data for water balance analysis and for formulating a water supply plan to establish water resource management of Andong dam.

• 한국지하수토양환경학회지:지하수토양환경
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• 제29권4호
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• pp.21-31
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• 2024

Sumgol in Jeju Island plays a significant role in groundwater recharge due to its permeable hydrogeological characteristics. However, a quantitative assessment of the interrelationship between rainfall characteristics and rainwater inflows into Sumgols has not yet been conducted. Therefore, this study examined the characteristics of rainwater inflow into three Sumgols located in the eastern and western regions of Jeju Island and assessed hydrogeologic factors influencing these inflows. During two rainfall events, the studied locations in Sumgol exhibited different characteristics of rainwater inflows, despite experiencing similar rainfall events. Additionally, the delay time for rainwater to reach the Sumgol locations after the rainfall was influenced more by rainfall intensity than by cumulative amount of rainfall. In Sumgols located in non-volcanic ash soil with low hydraulic conductivity, such as those in agricultural areas, rainwater inflows were observed even with small rainfall and low rainfall intensity. This study suggests that rainfall intensity, soil characteristics, permeability of lava flows, and land use are key factors influencing rainwater inflow into Sumgols, revealing that soil characteristics and the permeability of lava flows have a greater impact on surface runoff than land use.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.96-96
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• 2020

In order to establish the risk criteria of inundation due to typhoons or heavy rainfall, research is underway to predict the limit rainfall using basin characteristics, limit rainfall and artificial intelligence algorithms. In order to improve the model performance in estimating the limit rainfall, the learning data are used after the pre-processing. When 50.0% of the entire data was removed as an outlier in the pre-processing process, it was confirmed that the accuracy is over 90%. However, the use rate of learning data is very low, so there is a limitation that various characteristics cannot be considered. Accordingly, in order to predict the limit rainfall reflecting various watershed characteristics by increasing the use rate of learning data, the watersheds with similar characteristics were clustered. The algorithms used for clustering are K-Means, Agglomerative, DBSCAN and Spectral Clustering. The k-Means, DBSCAN and Agglomerative clustering algorithms are clustered at the impervious area ratio, and the Spectral clustering algorithm is clustered in various forms depending on the parameters. If the results of the clustering algorithm are applied to the limit rainfall prediction algorithm, various watershed characteristics will be considered, and at the same time, the performance of predicting the limit rainfall will be improved.

• Membrane and Water Treatment
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• 제10권1호
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• pp.45-55
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• 2019

Climate change has significantly affected the rainfall characteristics which can influence the pollutant build-up and wash-off patterns from the catchment. Therefore, this study explored the influence of varying rainfall characteristics on urban and agricultural runoff pollutant export using statistical approaches. For this purpose, Mann-Kendall and Pettitt's test were applied to detect the trend and breakpoint in rainfall characteristics time series. In addition, double mass curve and correlation analysis were used to drive the relationship between rainfall-runoff and pollutant exports from both catchments. The results indicate a significant decreased in total rainfall and average rainfall intensity, while a significant increased trend for antecedents dry days and total storm duration over the study periods. The breakpoint was determined to be 2013 which shows remarkable trend shifts for total rainfall, average rainfall intensity and antecedents dry days except total duration. Double mass curve exhibited a straight line with significant rainfall-runoff relationship indicates a climate change effect on both sites. Overall, higher pollutant exports were observed at both sites during the baseline period as compared to change periods. In agricultural site, most of the pollutants exhibited significant (p< 0.05) association with total rainfall, average rainfall intensity and total storm duration. In contrast, pollutants from urban site significantly correlated with antecedent dry days and average rainfall intensity. Thus, total rainfall, average rainfall intensity and total duration were the significant factors for the agricultural catchment while, antecedents dry days and average rainfall intensity were key factors in build-up and wash-off from the urban catchment.

• 한국농공학회지
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• 제31권4호
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• pp.72-80
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• 1989

Various analyses were made to investigate the stochastic structure of the daily rainfall in Korea. Records of daily rainfall amounts from 1951 to 1984 at Chinju Metesrological Station were used for this study. Obtained results are as follows : 1. Time series of the daily rainfall at Chinju were positively, serially correlated for the lag as large as one day. 2. Rainfall events, defined as a sequence of consecutive wet days separated by one or more dry days, showed a seasonal variation in the occurrence frequency. 3. The marginal distribution of event characteristics of each month showed significant dif- ferences each other. Events occurred in summer had longer duration and higher magnitude with higher intensity than those of events occurred in winter. 4. There were significant positive correlations among four event characteristics ; dura- tion, magnitude, average intensity, and maximum intensity. 5. Correlations among the daily rainfall amounts within an event were not significant in general. 6. There were no consistant significancy in identity or difference between the distribu- tions of daily rainfall amounts for different days within events. 7. Above mentioned characteristics of daily rainfall time series must be considered in building a stochastic model of daily rainfall.

• 한국환경복원기술학회지
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• 제4권1호
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• pp.24-31
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• 2001

Most of the natural calamities occurred in South Korea are due to rainfall, which are occurred during rainy season, June to September. The life-calamity reported in those seasons were over 75%, and the dead rate by the rainfall was about 98%. Especially, the disasters occurred in Pusan and Kyongsang-Namdo were highest of the whole country. The capability of landslide in this area was very high, which is included to Class 3 or Class 4 of disastrous risk grade suggested by the GIS system(Lee Su-Gon,1999). Those are based on the characteristics of topographical and meteorological data. In this study, the rainfall characteristics in Pusan were analyzed through the relationship between the cumulative rainfall and the maximum hourly rainfall. The landslide in this area depends on the elapsed time after maximum hourly rainfall intensity, and the most of landslide in Pusan recorded during within 3 hours after pick-time of rainfall intensity.

• 산업기술연구
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• 제30권B호
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• pp.33-40
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• 2010

This paper is results of analyzing the characteristics of rainfall triggering landslides and geometry of slopes, caused by the heavy rainfall and antecedent precipitation by Typhoons Ewiniar and Bilis at Chuncheon area in Gangwondo around July in 2006. As results of analyzing the characteristics of rainfall, landslides in 131 sites were found to happen due to the heavy rainfall having the maximum intensity of rainfall in an hour during July 15 and antecedent precipitation during July 12 to 14 causing the ground to be weak by increasing the degree of saturation previously. From results of analyzing the geometrical characteristics of 131 slopes where landslides occurred, the slope width were in the range of 6~10m. The average slope length and angle were 46m and $51.8^{\circ}$, which was relatively steep slope, respectively. Landlises occurred in the elevation of 400 - 500 m with the most probable frequency.

• 한국수자원학회논문집
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• 제51권8호
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• pp.739-745
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• 2018

최근 집중호우의 발생빈도가 증가하고 있으며, 이를 고려한 강우분석을 실시하여야 한다. 현재 수문설계를 위한 강우분석은 한반도 조밀도 36 km인 기상청 관할 종관기상관측지점(Automated Surface Observing System, ASOS)의 시 단위 강우를 이용하고 있다. 이로 인해 같은 강우지점의 티센망에 포함되는 중소규모 유역은 동일한 확률강우량과 강우시간분포로 분석하게 됨으로 유역특성을 고려하지 못하는 문제가 발생한다. 또한, 10~20 km 범위 내에서 발생하는 집중호우의 시 공간적 변화를 고려하지 못하는 문제점이 발생한다. 따라서 본 연구에서는 종관기상관측지점에 비해 상대적으로 조밀도가 우수한 방재기상관측지점(Automatic Weather System, AWS)의 분 단위 강우자료를 이용하여 집중호우를 고려한 확률강우량을 산정하였다. 또한, 유역에 적합한 Huff의 4분위 방법 산정을 위해 Case별 시간분포 산정과 유출분석을 실시하였다. 이는 집중호우와 유역특성을 반영한 설계수문량 산정에 크게 기여할 것으로 판단된다.

• 대한토목학회논문집
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• 제29권6B호
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• pp.513-526
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• 2009

홍수피해를 줄이기 위해 적정한 설계빈도에 맞는 치수대책을 수립한다. 일반적으로 설계빈도는 지역의 현황, 중요도뿐만 아니라 확률강우량 등을 반영한다. 따라서 본 연구에서는 최근 10년간 주요 호우사상에 의해 홍수피해가 발생한 지역을 대상으로 지속시간별로 최대강우량의 빈도를 산정하였다. 그리고 빈도별 확률강우량을 초과하는 강우사상의 시간적 특성을 분석하기 위해 초과강우량과 초과횟수 및 단위초과강우량을 산정하여 변동성과 경향성 분석을 수행하였다. 또한 강우관측소의 위치와 시간강우량 특성을 이용해 군집분석을 실시하고 강우관측소를 군집화 하였다. 군집된 지역을 대상으로 평균초과강우량과 평균초과횟수 및 평균단위초과강우량을 산정하였고, 군집지역별 초과강우량과 초과횟수에 대해 변동성 및 경향성을 분석을 실시하여 시간적 변화를 비교하였다.