• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.316-316
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• 2021

Erosion in a watershed is one of the main sources of sediment inflow in dams. While sediment management practices can be performed to reduce and manage sedimentation in reservoirs, managing the sediment inflow before it reaches the reservoir should also be consider. The accurate location of areas with high erosion and deposition rates should be determined in order to propose an appropriate sediment management procedure such as the construction of check dams. In this study, the projected rainfall from HadGEMRA-3 for RCP 8.5, was used in C-SEM, a distributed rainfall-erosion model, to determine the projected spatial erosion patterns in Cheoncheon catchment, which is located in the upstream part of Yongdam Dam.

• 대기
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• 제24권4호
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• pp.481-489
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• 2014

The Chugugi and Wootaek data of Gyeongsang-do (Dagu, Jinju, Goseong) were restored from "Gaksadeungnok", the governmental documents reported by the local government to the central during the Joseon Dynasty, and analyzed. The duration of the restored data represents 6 years for Daegu (1863, 1872, 1890, 1897, 1898, and 1902), 3 years for Jinju (1897, 1898, and 1900), and 2 years for Goseong (1871 and 1873). Total number of the restored data was 134, including 83 in Daegu, 25 in Jinju, and 26 in Goseong with the period ranging from March to September. The summer data from June to August accounts for approximately 50% (73 data), while the April data also shows relatively high number of 22, followed by September and March. Most data was collected from March to October, while this time winter data was not found even in October. The rainfall patterns using Chugugi data were investigated. First, the number of days with rainfall by annual mean showed 41 days in Daegu, 39 in Jinju, 33 in Goseong, respectively. In terms of the time series distribution of daily rainfall, the ratio between the number of occurrences with over 40 mm of heavy rainfall and the number of rainy days showed 14 times (8%) in Daegu, 24 (39%) in Jinju, and 4 (6%) in Goseong, respectively. The maximum daily rainfall during the period was recorded with 80mm in Jinju on August 24, 1900. The result of analyzing monthly amount of rainfall clearly indicated more precipitation in summer (June, July and August) with the relatively high records of 284 mm and 422 mm in April, 1872 and July, 1902, respectively, in Daegu, while Jinju recorded the highest value of 506 mm in June, 1898. When comparing the data with those observed by Chugugi in Seoul during the same period from "Seungjeongwonilgi", the monthly rainfall patterns in Daegu and Seoul were quite similar except for the year of 1890 and 1897 in which many data were missing. In particular, in June 1898 the rainfall amount of Jinju recorded as much as 506 mm, almost 4 times of that of Seoul (134 mm). Based on this, it is possible to presume that there was a large amount of the precipitation in the southern region during 1898. According to the calculated result of Wootaek data based on Chugugi observations, the unit of 1 'Ri' and 1 'Seo' in Daegu can be interpreted into 18.6 mm and 7.8 mm. When taking into consideration with the previous result found in Gyeonggi-do (Cho et al., 2013), 1 'Ri' and 1 'Seo' may be close to 20.5 mm and 8.1 mm, however, more future investigations and studies will be essential to verify the exact values.

• 한국환경과학회지
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• 제24권5호
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• pp.601-613
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• 2015

On the study of the characteristics and life cycle of mesoscale convective band in type of airmass that occurred in the Honam area from June to September for only 4 years in the period of 2009~2012, 10 examples based on the amount of rainfall with AWS 24 hours/60 minutes rainfalls, Mt. Osung radar 1.5 km CAPPI/X-SECT images and KLAPS data for convective band with heavy rainfall event were selected. There were analyzed and classified by using the convective band with heavy rainfall occurred along the convergence line of sea wind in the form of individual multi-cellular cell and moving direction of convective band appeared in a variety of patterns; toward southwestern (2 cases), northeastern (4 cases), congesting (2 cases), and changing its moving direction (2 cases). The case study dated of the 17th Aug. 2012 was chosen and implemented by sequentially different evolution of its shape along the convergence line of sea wind cell and moving direction of convective band as equivalent potential temperatures at the lower layer have increased to the upper layer 500 hPa, that the individual cells were developed vertically and horizontally through their merger, but owing to divergence caused by weakened rainfall and descending air current, the growth of new cell was inhibited resulting in dissipation of convective cells.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.9-18
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• 2005

In order to systematically and visually understand well-known but qualitative and rotatively complicated relationships between synoptic fields in the BAIU season and heavy rainfall events in Japan, these synoptic fields were classified using the Self-Organizing Map (SOM) algorithm. This algorithm can convert complex nonlinear features into simple two-dimensional relationships, and was followed by the application of the clustering techniques of the U-matrix and the K-means. It was assumed that the meteorological field patterns be simply expressed by the spatial distribution of wind components at the 850 hPa level and Precipitable Water (PW) in the southwestern area including Kyushu in Japan. Consequently, the synoptic fields could be divided into eight kinds of patterns (clusters). One of the clusters has the notable spatial feature represented by high PW accompanied by strong wind components known as Low-Level Jet (LLJ). The features of this cluster indicate a typical meteorological field pattern that frequently causes disastrous heavy rainfall in Kyushu in the rainy season. From these results, the SOM technique may be an effective tool for the classification of complicated non-linear synoptic fields.

• 대기
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• 제29권4호
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• pp.451-461
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• 2019

Medium-range forecast is highly dependent on ensemble forecast data. However, operational weather forecasters have not enough time to digest all of detailed features revealed in ensemble forecast data. To utilize the ensemble data effectively in medium-range forecasting, representative weather patterns in East Asia in this study are defined. The k-means clustering analysis is applied for the objectivity of weather patterns. Input data used daily Mean Sea Level Pressure (MSLP) anomaly of the ECMWF ReAnalysis-Interim (ERA-Interim) during 1981~2010 (30 years) provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Using the Explained Variance (EV), the optimal study area is defined by 20~60°N, 100~150°E. The number of clusters defined by Explained Cluster Variance (ECV) is thirty (k = 30). 30 representative weather patterns with their frequencies are summarized. Weather pattern #1 occurred all seasons, but it was about 56% in summer (June~September). The relatively rare occurrence of weather pattern (#30) occurred mainly in winter. Additionally, we investigate the relationship between weather patterns and extreme weather events such as heat wave, cold wave, and heavy rainfall as well as snowfall. The weather patterns associated with heavy rainfall exceeding 110 mm day^-1 were #1, #4, and #9 with days (%) of more than 10%. Heavy snowfall events exceeding 24 cm day^-1 mainly occurred in weather pattern #28 (4%) and #29 (6%). High and low temperature events (> 34℃ and < -14℃) were associated with weather pattern #1~4 (14~18%) and #28~29 (27~29%), respectively. These results suggest that the classification of various weather patterns will be used as a reference for grouping all ensemble forecast data, which will be useful for the scenario-based medium-range ensemble forecast in the future.

• 대한토목학회논문집
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• 제13권1호
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• pp.115-120
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• 1993

본 연구는 전국 주요 강우관측지점에 대한 기존의 확률강우강도식을 종합분석함으로써, 전국을 대표할 수 있는 대표확률강우강도식의 형태로 유도 제시하고, 이에 따른 확률강우량을 비교함으로써 강우사상의 지역적 특성을 제시한 연구이다. 본 연구를 통해서 얻어진 성과를 요약하면 다음과 같다. 기왕의 각 지점별 확률강우강도식을 단일형태로 통합시킨 대표확률강우강도식으로 유도 제시할 수 있었다. 기왕의 확률강우강도식을 적용할 때보다 대표확률강우강도식을 적용한 경우의 정확도가 보다 우수하였다, 또한 지역적인 강우특성을 파악하기 위한 무차원계수(R24/Rl)값과 확률강우강도식의 지역계수인 n 값과는 반비례하는 경향이 파악되었으며, 이 값들을 비교하여 봄으로써 전국이 대략 5개의 권역으로 구분될 수가 있었다. R24/Rl 값이 작은 내륙지방에서는 단시간 강우강도가 크며, 반대로 동해안 지역에서는 장시간 강우강도가 탁월한 것으로 나타났다.

• 한국농공학회논문집
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• 제62권4호
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• pp.13-22
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• 2020

The Doam Lake watershed has a significant impact on the downstream water system due to nutrients and sediment outflow during rainfall caused by steep slopes, soil losses, and fertilization. These non-point sources are unclear in the discharge area and are affected by land use patterns, soil characteristics, and topographical features of the watershed. Therefore, this study conducted rainfall monitoring from July to October 2019 in Songcheon upstream of the Doam Lake watershed, one of the non-point pollution source management areas. Then, after analyzing rainfall runoff, Event Mean Concentration (EMC) and Mass First Flush ratio (MFFn) were calculated to compare and analyze the characteristics of rainfall and the non-point pollutant discharge. As a result of the analysis, it showed various non-point pollutant emission characteristics for each rainfall event. In addition, the concentration of EMC and the MFFn were affected by the average rainfall intensity and the maximum rainfall intensity, and were not significantly affected by the number of antecedent drying days. In the future, it is expected that effective non-point source reduction measures and management measures according to rainfall intensity through continuous monitoring and analysis will be needed.

• 한국수자원학회논문집
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• 제45권8호
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• pp.795-804
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• 2012

최근 강우강도 및 패턴이 변화함에 따라 전세계적으로 토양유실이 증가하고 있다. 그 결과, 수생태계 건전성이 악화되고, 농업작물이 피해를 입어 수확량이 감소된다. 그동안 유출 및 토양유실을 예측하거나 비점오염원을 감소시키는 연구가 많이 수행되어 왔다. USLE는 수년간 토양유실을 산정하는데 사용되어왔으나, 강우강도나 패턴변화를 적용하기에는 적절하지 못했다. 물리적 기반인 WEPP 모형은 다양한 강우강도 및 패턴변화를 적용하는데 적절하다. 본 연구에서는 WEPP 모형을 이용하여 Huff의 4분위, 다양한 강우간격, 설계강우에 따른 토양유실, 유출, 첨두유출을 산정하였다. 5분간격 강우 데이터와 60분 간격 강우 데이터를 비교한 결과 토양유실은 24%, 유출은19%, 첨두유출은 16%가 차이나는 것으로 나타났다. 유출 및 토양유실이 5분 간격 강우량에서 실측치와 가장 유사한 것으로 나타나 강우데이터의 간격이 짧을수록 더 정확하게 모의할 수 있는 것으로 나타났다. Huff의 4분위를 이용하여 토양유실량, 유출량, 첨두유출량을 산정한 결과 토양유실량, 유출량, 첨두유출량 모두 3분위에서 가장 높게 발생하는 것으로 나타났다. 강원도 홍천지역 빈도별 확률강우를 이용하여 토양유실량, 유출량, 첨두유출량의 변화를 모의하였다. 2년 빈도와 300년 빈도에서 강우량은 167% 증가하였다. 유사량과 유출량, 첨두유출량은 각각 906.2%, 249.4%, 183.9% 증가하여 유사량의 증가율이 가장 큰 것으로 나타났다. 본 연구의 결과에서 보이는 바와 같이 WEPP 모형을 이용하여 향후 기후변화에 따른 유출 및 토양유실의 예측이 가능할 것으로 판단된다.

• 한국농공학회지
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• 제26권2호
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• pp.69-84
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• 1984

This study was carried out to investigate the time distribution of single storms and to establish the model of storm patterns in korea. Rainfall recording charts collected from 42 metheorological stations covering the Korean peninsula were analyzed. A single storm was defined as a rain period seperated from preceding and succeeding rainfall by 6 hours and more. Among the defined single storms, 1199 storms exceeding total rainfall of 80 mm were qualified for the study. Storm patterns were cklassified by quartile classification method and the relationship between cummulative percent of rainfalls and cummulative storm time was established for each quartile storm group. Time distribution models for each stations were prepared through the various analytical and inferential procedures. Obtained results are summarized as follows: 1. The percentile frequency of quartile storms for the first to the fourth quartile were 22.0%, 26.5%, 28.9% and 22.6%, respectively. The large variation of percentile frequency was show between the same quartile storms. The advanced type storm pattern was predominant in the west coastal type storm patterns predominantly when compared to the single storms with small total rainfalls. 3. The single storms with long storm durations tended to show delayed type storm patterns predominantly when compared to the single storms with short storm durations. 4. The percentile time distribution of quartile storms for 42 rin gaging stations was estimated. Large variations were observed between the percentiles of time distributions of different stations. 5. No significant differences were generally found between the time distribution of rainfalls with greater total rainfall and with less total rainfall. This fact suggests that the size of the total rainfall of single storms was not the main factor affecting the time distribution of heavy storms. 6. Also, no significant difference were found between the time distribution of rainfalls with long duration and with short duration. The fact indicates that the storm duration was no the main factor affecting the time distribution of heavy storms. 7. In Korea, among all single storms, 39.0% show 80 to 100mm of total rainfall which stands for the mode of the frequency distribution of total rainfalls. The median value of rainfalls for all single storms from the 42 stations was 108mm. The shape of the frequency distribution of total rainfalls showed right skewed features. No significant differences were shown in the shape of distribution histograms for total rainfall of quartile storms. The mode of rainfalls for the advanced type quartile storms was 80~100mm and their frequencies were 39~43% for respective quartiles. For the delayed type quartile storms, the mode was 80~100mm and their frequencies were 36!38%. 8. In Korea, 29% of all single storms show 720 to 1080 minutes of storm durations which was the highest frequency in the frequency distribution of storm durations. The median of the storm duration for all single storms form 42 stations was 1026 minutes. The shape of the frequency distribution was right skewed feature. For the advanced type storms, the higher frequency of occurrence was shown by the single storms with short durations, whereas for the delayed type quartile storms, the higher frequency was shown gy the long duration single storms. 9. The total rainfall of single storms was positively correlated to storm durations in all the stations throughout the nation. This fact was also true for most of the quartile storms. 10. The third order polynomial regression models were established for estimating the time distribution of quartile storms at different stations. The model test by relative error method resulted good agreements between estimated and observed values with the relative error of less than 0.10 in average.

• 한국방재학회 논문집
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• 제7권5호
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• pp.167-178
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• 2007

강우분포형에 따라 이동강우가 지표면유출에 미치는 영향을 분석하였으며, 지배방정식으로 운동파방정식을 적용하였다. 이동강우의 강우분포형은 균등분포형, 전진형, 지연형, 중앙집중형을 사용하였으며, 이동강우에 상응하는 정지강우의 경우와 유출을 비교하였다. 본 연구에 적용한 강우의 이동속도는 0.125-2.0m/s이며, 이동방향은 지표면의 상류와 하류방향을 고려하였다. 이동강우의 강우분포형과 이동강우의 특성은 지표면 유출수문곡선의 모양과 첨두유량에 현저하게 영향을 미치는 것으로 나타났다. 모든 강우분포형에서 하류방향의 이동강우에 의하여 가장 큰 첨두유량이 발생함을 알 수 있으며, 강우분포형에 의한 유출량 민감도는 강우이동 속도가 증가함에 따라 감소하고 있다. 강우이동속도가 빠르면 첨두시간이 짧아지고 수문곡선의 모양이 급격히 얇아진다.