서해 상에서 저기압과 태풍 통과 시 해상상태를 비교 분석을 하였다. 1999년 4월 9일∼12일에 강한 저기압이 화중지방에서 발생하여 서해를 지나 한반도에 영향을 미친 경우의 9905호 태풍 NEIL과 9907호 태풍 OLGA가 서해를 통과하면서 서해 연안에 영향을 미친 사례이다. 봄철 이동성 저기압 발생 시 에는 저기압 중심부의 풍속이 주변 지역에 비해 위상이 빠르고 강하게 나타나며, 이에 수반되어 발생하는 파고는 주변의 지형적 영향으로 다르게 나타날 수 있다. 이에 비해 두 태풍에 의해 발생한 파고는 태풍 Olga가 서해 남부해역에서 북상할 시기에 칠발도 근해상에서 5m이상의 높은 유의파고를 발생한 것 이외에는 저기압 통과 시보다 파고가 낮다. 해일도 태풍보다 저기압 통과 시에 더 크게 나타나는데, 이러한 결과는 강하지만 국지적이고 빠르게 이동하는 태풍보다 종관적이고 느리게 이동하는 기압장에 의해 발생한 파도와 해일이 더 클 수 있음을 보여준다.

The objective of this study is to provide with the hydro-meteological and probabilistic characteristics of the storms of typhoons that have been passed through the Korean peninsula during the last twenty-three years since 1961. The paths and intensities of the typhoons were analyzed. Fifty weather stations were selected and the rainfall data during typhoon periods were collected. Rainfall data were analyzed for the patterns and probabilistic distributions. The results were presented to describe the areal distributions of probabilistic characteristics. The results obtained from this study can be summarized as follows: 1. The most frequent typhoon path that has passed through the Korean peninsula was type E, followed by types CWE, W, WE, and S. The most frequent typhoon intensity was type B, followed by A, super A, and e types, respectively. 2. The third quartile typhoon rainfall patterns appear most frequently followed by the second, first, and last quartiles, respectively, in Seoul, Pusan, Taegu, Kwangju and Taejon. The single typhoon rainfalls with long rainfall durations tended to show delayed type rainfall patterns predominantly compared to the single rainfalls with short rainfall durations. 3. The most frequent probabilistic distribution of typhoon rainfall event is Pearson type-III, followed by Two-parameter lognormal distribution, and Type-I extremal distribution. 4. The most frequent probability distribution model of seashore location was Pearson type-III distribution. The most frequent probability distribution model of inland location was two parameter lognormal distribution.

This study was carried out to find a way of improving the windproof capability of greenhouse foundations. Generally, greenhouses are often collapsed due to the strong winds, because they are very light weight structures. In such a critical situations, the foundations are very often subjected to uplift and vibration at the same time. This paper describes both the wind disaster of greenhouses by the typhoon FAEY and the uplift resistance of greenhouse foundations. Followings are the results obtained from this study ; Judging from the view point of year round cultural aspects, it is recommended that some measures be taken for the preventions of greenhouse film ruptures because greenhouse structural damages are found to be directly associated with the local rupture of cover film. In the case of surveyed area, movable pipe-houses or pipe-houses of 1-2W type were found to be completely destroyed when the maximum instantaneous wind velocity was over 30m/sec or so. In the case of movable pipe-houses, the uplift resistance of greenhouse was expected to increase with the increase of pipe diameter and/or the embedment pipe length. But at present situations there is a limitation in raising the uplift resistance of movable pipe-house, because pipe diameters as well as pipe lengths customarily selected by farmers are quite a much limited.

득량만에서 발생되는 수괴의 연직 구조의 변동을 역학적으로 규명하기 위하여 Simpson and Hunter(1974)와 Simpson and Bowers(1981)의 에너지식을 이용하여 수괴의 연직 환합과 관련된 바람, 태양 그리고 조류 에너지를 계산하여 보았다. 그 결과 바람에너지에 비하여 태양 에너지와 조류에너지가 약 10배 종도 큼을 알 수 있었다. 그리고 태양 에너지의 경우 관측 기간 동안 큰 변동이 없는 반면 조류의 경우 대조기와 소조기대의 에너지가 약 10배 정도 차이가 남을 알 수 있었다. 이러한 결과로 미루어 볼 때 하계 득량만의 수괴의 연직 구조변동은 대.소조기 변동에 따른 조류의 세기에 의하여 결정됨을 잘 알 수 있었다. 그리고 태풍에 의한 에너지의 변동을 살펴보기 위하여 Fujita의 경험적인 태풍 모델을 도입하여 태풍이 득량만의 좌측과 우측을 통과할 때의 에너지의 변동을 살펴보았다. 그 결과 태풍 에너지는 조류 에너지의 크기와 매우 비슷하며 특히 대조기때의 조류 에너지의 크기와 매우 유사함을 알 수 있었다. 여기서 주목되는 것은 득량만에서 연직 혼합을 일으키는 10-15m/sec의 바람 에너지의 크기와 30-40cm/sec 세기의 조류가 가지고 있는 조류에너지의 크기가 매우 비슷함을 알 수 있다. 따라서 득량만의 경우 조류에 의한 수괴의 연직 혼합의 세기는 태풍 에너지와 거의 비슷함을 알 수 있다. 이러한 결과를 미루어 볼 때 대조기때의 득량만의 조류 에너지는 거의 태풍 통과시 바람 에너지와 거의 비슷함을 알 수 있었다. 이러한 연구는 Simpson(1981)의 결과와도 매우 유사하게 나타났다.

태풍해일의 변동양상과 특성을 파악하기 위하여, 한국 남해안의 7개 검조소의 조석관측자료와 기상자료를 사용하여 태풍 Thelma 통과기간 중 각 항에서의 추산조위와 해일을 추정하여, 시간영역별 기상 및 해면변동에 관한 EOF분석을 하고 태풍해일, 기압, 바람응력의 spectrum분석을 실시하였다. 반폐쇄성 만(여수)인 경우 바람응력이 기압보다 해일발생에 큰 영향을 미치며, 개방된 항만(제주)은 기압이 해일에 큰 역할을 하는 것으로 나타났다. 해일의 값은 13.1~91.7cm 범위로서 여수에서 최고치를 보였다. 태풍 Thelma 통과시 EOF 제 1 모드는 전체 해일변동의 63%를 차지하였고, 제 1 모드에 수반된 해일의 시간변동은 18 시간 동안 쌍봉의 peak를 가진 변동을 보였다. 제 1 모드에 대한 남해안 7개 지점에서의 해일의 공간적 변동은 여수를 중심으로 동시에 해면이 상승하였다. 남해안 4개항(부산, 충무, 여수, 제주)의 해일, 기압 및 바람응력 spectrum의 peak 에너지는 0.008-0.076cph(약 3-10시간)의 저주파수대에 밀집되어 있고, 해일의 경우 여수와 제주에서 에너지 밀도가 크게 나타났다. 기압의 에너지 변동은 탁월하지 않았으며, 바람응력은 부산, 여수, 제주에서 에너지 밀도가 잘 나타났다. 또한, 세 변동성분의 자기상관은 해일의 경우 주기적 변동을 나타내었고, 기압과 바람응력은 모두 불규칙적인 상관을 보였다.

In this study, type analysis was conducted along with the advancement of basic data to calculate the maximum damage caused by strong winds during the typhoon period. The result of the damage by region showed that in 2012, the difference in damage was clearly distinguished as the region was classified in detail. In addition, the result of the annual damage in 2011 was strong on the west coast, and in 2016, the damage to the southeast coast was significant. In 2012, the 3-second gust was relatively stronger on the west and southeast coasts than in 2011, and the winds blew stronger along the southeast coast in 2016. Monthly damage data showed that the damage to the west coast was high in August, and the damage to the southeast coast was high in October from 2002 to 2019. The 3-second gust showed the result of wide expansion throughout the southern coast of the Korean Peninsula in October. As a result, the damage differs for type bacause the intensities and paths of typhoons vary depending on their characteristics, the 3-second gust blows differently by region based on regional characteristics, and the sale price is considered in metropolitan cities.

The spatial characteristics of typhoon-class strong wind during the non-typhoon period were analyzed using, a cluster analysis of the observational data and of special strong wind advisories and, warnings issued by the Korean Meteorological Administration. On the Korean Peninsula, strong winds during non-typhoon periods showed a wide variety of spatial characteristics. In particular, the cluster analysis showed that strong winds could be classified into six clusters on the Korean Peninsula, and that the spatial distribution, occurrence rate of strong winds, and strong wind speed in each cluster were complex and diverse. In addition, our analysis of the frequency of issuance of special strong wind warnings showed a significant difference in the average frequency of strong wind warnings issued in metropolitan cities, with relatively high numbers of warnings issued in Gyeongsangbuk-do and, Jeollanam-do, and low numbers of warning issued inland and in other metropolitan cities. As a result of the changing trend in warnings issued from 2004 to 2019, Ulsan and Busan can be interpreted as having a relatively high number of warnings; the frequency of strong wind warnings issuances and strong wind occurrences in these cities is increasing rapidly. Based on the results of this study, it is necessary to identify areas with similar strong wind characteristics and consider specific regional standards in terms of disaster prevention.

This study analyzed the characteristics of strong winds accompanying typhoons for a period of 116 years, from 1904 to 2019, when modern weather observations began in Korea. Analysis shows that the average wind speed and high wind rate caused by typhoons were higher over the sea and in the coastal areas than in the inland areas. The average wind speed was higher over the West Sea than over the South Sea, but the rate of strong wind was greater over the South Sea than over the West Sea. The average wind speed decreased by 1980 and recently increased, while the rate of strong winds decreased by 1985 and has subsequently increased. By season, the strong winds in autumn (september and october) were stronger than those in summer (june, july, and august). Strong winds were also more frequent in autumn than in summer. The analysis of the changes in strong winds caused by typhoons since the 1960s shows that the speed of strong winds in august, september, and october has increased more recently than in the past four cycles. In particular, the increase in wind speed was evident in fall (september and october). Analysis of the results suggests that the stronger wind is due to the effects of autumn typhoons, and the increased possibility of strong winds.

This study aimed to classify typhoons using a more objective index based on strong winds and precipitation data from 1904 to 2019 obtained from the Automated Surface Observing System. The Typhoon Type Index (TTI) was calculated by classifying wind speed and precipitation of each typhoon, thereby revealing the rate and characteristics of the wind-type and rain-type typhoons. In addition, the top 10 typhoons for property damage were analyzed by dividing them into three types according to the typhoon course. The analysis showed that typhoons of type 1, heading north to the west coast, were most clearly affected by the wind. In addition, the impact of the wind was reduced and the impact of rain increased in the order of typhoon type 2 that landed on the southern coast and type 6 that affected the Korean Peninsula through China.

Typhoons are a major threat to Korea and many parts of the world. Typhoons can cause loss of life, damage to buildings, industry and infrastructure. In order to objectively and quantitatively assess the risk presented by typhoons and other natural hazards, catastrophe models are often used, especially in the insurance industry. Catastrophe models determine the probability of occurrence of natural hazards at target locations, along with associated damage and other impacts. Catastrophe models can also be designed to estimate the financial cost of the natural hazard. As Korea’s insurance industry develops and grows, catastrophe models focused on Korea will be needed. We have initiated a project to develop a catastrophe model for Korea. The first phase of this project is to develop the natural hazard component which estimates the probability of storm tracks and associated wind speeds impacting the Korean peninsula and islands. We discuss a preliminary prototype of natural hazard component of the model in this paper.

The present study analyzes the characteristics of 43 typhoons that affected the Korean Peninsula between 2002 and 2015. The analysis was based on 3-second gust measurements, which is the maximum wind speed relevant for typhoon disaster prevention, using a typhoon disaster prevention model. And the distribution and characteristics of the 3-second gusts of four typhoons, RUSA, MAEMI, KOMPASU, and BOLAVEN that caused great damage, were also analyzed. The analysis show that between May and October during which typhoons affected the Korean Peninsula, the month with the highest frequency was August(13 times), followed by July and September with 12 occurrences each. Furthermore, the 3-second gust was strongest at 21.2 m/s in September, followed by 19.6 m/s in August. These results show that the Korean Peninsula was most frequently affected by typhoons in August and September, and the 3-second gusts were also the strongest during these two months. Typhoons MAEMI and KOMPASU showed distribution of strong 3-second gusts in the right area of the typhoon path, whereas typhoons RUSA and BOLAVEN showed strong 3-second gusts over the entire Korean Peninsula. Moreover, 3-second gusts amount of the ratio of 0.7 % in case of RUSA, 0.8 % at MAEMI, 3.3 % at KOMPASU, and 21.8 % at BOLAVEN showed as "very strong", based on the typhoon intensity classification criteria of the Korea Meteorological Administration. Based on the results of this study, a database was built with the frequencies of the monthly typhoons and 3-second gust data for all typhoons that affected the Korean Peninsula, which could be used as the basic data for developing a typhoon disaster prevention system.

한반도는 지형학적 요건으로 인하여 태풍과 관련된 재난이 매년 발생하여 막대한 피해를 유발하고 있다. 태풍 내습시 폭풍해일과 집중호우가 동시에 발생한다면 해안지역의 침수피해는 더욱 증가할 것으로 사료된다. 이러한 관점에서 태풍과 폭풍해일의 상호의존성을 정량적으로 규명하는 것은 해안지역의 재해분석에 필수적이다. 본 연구에서는 Bayesian 기법을 기반으로 절점기준을 초과하는 임계값의 초과확률을 산정하기 위하여 Poisson 분포와 Generalized-Pareto 분포를 이용한 Poisson-GP 폭풍해일 빈도해석 기법을 개발하였다. 본 연구를 통하여 개발된 Poisson-GP 폭풍해일 빈도해석 기법은 설계해수면의 불확실성을 정량적으로 제시하였으며 해안지역의 폭풍해일 관련 방재기술 향상에 기여할 것으로 판단된다.

본 연구에서는 북극진동이 우리나라에 미치는 영향을 파악하고자 북극진동지수(AOI)와 북태평양에서 발생한 태풍의 개수 및 우리나라에 영향을 준 태풍의 개수, 또한 장마기간 중 총강수량 및 장마기간 중 강수일수와의 교차상관분석을 시도하였다. AOI 자료는 월단위 형태로 존재하나 교차 상관 분석에는 1월을 중심으로 한 평균 자료와 봄, 여름, 가을, 겨울의 계절자료를 이용하였다. 장마 특성 및 태풍 특성 자료는 모두 연 단위자료이 다. 본 연구에서는 AOI 및 태풍, 장마 자료의 가용성을 고려하여 1961년에서 2016년 사이의 자료를 이용하였다. 본 연구에서의 결과를 종합해 보 면, 북극진동은 우리나라의 장마 특성에 약한 수준이나 유의하게 영향을 미치고 있음을 확인할 수 있었다. 그러나 그 정도는 전체기간에 대해 일정 하지 않으며 시기에 따라 크게 다른 것으로 나타난다. 예를 들어, 최근 10년간 북극진동이 장마에 미친 영향은 교차상관계수로 0.8 이상이다. 그러나 그 전 30년간은 통계학적으로 유의한 영향은 없었다. 이와는 반대로 북극진동이 우리나라에 영향을 준 태풍의 개수에 미치는 영향은 전체적으로는 유의하지 않은 것으로 나타난다. 공교롭게도 부분적으로 보면 이 역시 기간에 따라 유의한 영향과 유의하지 않은 영향이 반복적으로 교차하는 모습을 보인다. 즉, 기간에 따라 북극진동의 영향은 비정상적으로 크게 변동하는 모습을 보인다. 또한, 북극진동이 우리나라의 장마와 태풍에 미치는 영향이 과거 1960년대에서 2000년대까지 서로 교차되는 특성을 보여 왔다는 점에 주목할 필요가 있다. 그러나 공교롭게도 2010년대에 들어서면서 장마에의 영향과 태풍에의 영향이 둘 다 증가하는 형태로 바뀐 것으로 보인다.

This study intend to induce citizen's voluntary preliminary disaster prevention activity to reduce damage of typhoon that occurs every year. For this purpose, a survey was conducted to develop Typhoon information contents. The number of samples used in the survey was set to 500 people, and citizens living in Jeju, Busan, and Jeonlanam-do were surveyed for areas with high typhoon disasters in order to develop practical and efficient information. The survey consisted of perception about natural disaster, how to get and use weather information, satisfaction with typhoon information and requirements. The general public perceived the typhoon as the first natural disaster. As a result of responding to the method of obtaining and utilizing weather information, the frequency of collecting weather information at the time of issuance of typhoon special report is higher than usual. The purpose of using weather information is clear and the response rate is high for the purpose of disaster prevention. The medium mainly collecting weather information is Internet portal site and mobile phone besides television. The current satisfaction with typhoon weather information is 34.8%, in addition to the accuracy of prediction, it is necessary to improve the information (that is content) provided. Specific responses to the content were investigated not only for single meteorological factors, but also for possible damage and potential countermeasures in the event of a disaster such as a typhoon. As can be seen from the above results, people are requested to provide information that can be used to detect and cope with disasters. The development of new content using easy accessible media will contribute to the reduction of damages caused by the typhoon that will occur in the future, and also to the disaster prevention activity.

For this study, WRF numerical modeling was performed, using RDAPS information for input data on typhoons affecting the Korean peninsula to produce wind data of 700hPa. RAM numerical modeling was also used to calculate 3-second gusts as the extreme wind speed. After comparing wind speeds at an altitude of 10 m to evaluate the feasibility of WRF numerical modeling, modeled values were found to be similar with measured ones, reflecting change tendencies well. Therefore, the WRF numerical modeling results were verified. As a result of comparing and analyzing these wind speeds, as calculated through RAM numerical modeling, to evaluate applicability for disaster preparedness, change tendencies were observed to be similar between modeled and measured values. In particular, modeled values were slightly higher than measured ones, indicating applicability for the prevention of possible damage due to gales. Our analysis of 3-second gusts during the study period showed a high distribution of 3-second gusts in the southeast region of the Korean peninsula from 2002-2006. The frequency of 3-second gusts increased in the central north region of Korea as time progressed. Our analysis on the characteristics of 3-second gusts during years characterized by El Niño or La Nina showed greater strength during hurricanes that affected the Korean peninsula in El Niño years.

Meteorological characteristics related to variations in ozone (O3) concentrations in the Korean peninsula before, during, and after Typhoon Talas (1112) were analyzed using both observation data and numerical modeling. This case study takes into account a high O3 episode (e.g., a daily maximum of ≥90 ppb) without rainfall. Before the typhoon period, high O3 concentrations in the study areas (e.g., Daejeon, Daegu, and Busan) resulted from the combined effects of stable atmospheric conditions with high temperature under a migratory anticyclone (including subsiding air), and wind convergence due to a change in direction caused by the typhoon. The O3 concentrations during the typhoon period decreased around the study area due to very weak photochemical activity under increased cloud cover and active vertical dispersion under a low pressure system. However, the maximum O3 concentrations during this period were somewhat high (similar to those in the normal period extraneous to the typhoon), possibly because of the relatively slow photochemical loss of O3 by a H2O + O(1D) reaction resulting from the low air temperature and low relative humidity. The lowest O3 concentrations during the typhoon period were relatively high compared to the period before and after the typhoon, mainly due to the transport effect resulting from the strong nocturnal winds caused by the typhoon. In addition, the O3 increase observed at night in Daegu and Busan was primarily caused by local wind conditions (e.g., mountain winds) and atmospheric stagnation in the wind convergence zone around inland mountains and valleys.