The power and scale of 950 hPa typhoon "Maemi" which struck the shore of Gosung in Kyungnam Province was same as that of 951 hPa typhoon "Saraho" in 1959. For the purpose of getting the safety of training ship "KAYA", we anchored at Jinhae Bay with riding at two anchors paid out 8 shackles of cable respectively. By the way when wind force being over 30m/s, we could not keep the safety of the ship "KAYA" by means of the holding power of an anchor only. Just by using the main engine moderately, we were able to maintain the security of the ship. The holding the main engine moderately, we were able to maintain the security of the ship. The holding power of an anchor according to the way of anchoring, the quality of sea bottom, the direction and speed of wind and current, and the length of an anchor cable were analyzed. The obtained results are summarized as follows : 1. When riding at two anchors rather than lying at single anchor we could get a good holding power. 2. There was a big difference in holding power according to the quality of the bottom. 3. It would be best anchoring in a soft mud area than in any other place as possible. 4. It would also be desirable to set anchor shackles much more than equipment number prescribed in regulation in order to get safety of a ship providing against typhoon.

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.

Recently, EI nino and La nina phenomena have known as a cause of the unusual weather and meterological disasters in the world. The meteorological disasters in Korea have mainly caused by typhoons. In this paper, we studied the relationship between EI Nino and La Nina phenomena and the number of typhoons which have affected on Korea using the long-term data for the period from 1940 to 1999 (60 years) in case of normal years, EI Nino years and La Nina years, the numbers of typhoons which have affected on Korea are 3.1/year, 2.7/year and 3.9/year respectively. The number of typhoons which have affected on Korea in La Nina years is more than those in EI Nino years and normal years The occurrence rate of typhoon in La Nina years is also higher than those in EI Nino years and normal years.

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.

This paper aims to describe the relation between the weather condition, especially typhoon and a shipwreck in Korean waters. For this study, it was investigated the statistical characteristics of a shipwreck due to the weather, pressure patterns governing the shipwreck in Korean waters. and the relation between the intensity of typhoon and the amount of a disaster. The results are summarized as follows: 1) The monthly occurrence frequency of a shipwreck was the heighest in July followed by February, March in descending order. 2) The pressure patterns governing the shipwreck were classified broadly into six types and pressure pattern which had most occurrence frequency of a shipwreck was Type V and then cames Type I, Type III and type IV in that order. 3) Occurence frequency of a shipwreck and the amount of a kinetic energy of typhoon have nothing to do with each other. In case of Wind-Typhoon that brought more a strong wind than a heavy rainfall, there were seriously affected ships and buildings by the wind.

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.

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.

Tropical cyclones (TCs) over the western North Pacific (WNP) mainly occur during June-October, and result in significant casualties and damages to property in East Asian countries (e.g., Korea, Japan, Taiwan, and China, etc.). Although the total number of TCs that occurred over WNP was similar to normal years, the numer of TCs that affected Korea in August and September 2019 was 3 times higher than with the same number of TCs in July. Therefore, this study examined why more TCs migrated into Korea in 2019 through analyzing four environmental conditions: steering flow, geopotential height at 500 hPa, vertical wind shear (VWS), and sea surface temperature (SST). Results showed that the tracks of TCs were significantly associated with steering flows from July to September. Furthermore, weaker VWS and warmer SST were distributed near the tracks of TCs during August and September, whereas strong VWS and lower SST were dominant in July. The environmental conditions in August and September were favorable for maintaining and developing TCs, explaining why more typhoons have affected Korea during August and September in 2019.

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.