1960년대 이후 현재까지의 독일의 형벌, 보안처분 그리고 행형에 있어서 특 징적인 것은 책임형벌과 책임형법이 개입하기를 자제하는 영역에 대하여 책임 원칙이 적용되지 않는 보안처분이나 행형을 통하여 개입하려는 경향이 강하게 나타나고 있다는 점이다. 그러한 영역이란 전통적인 책임형벌의 목적과는 다른 위험의 차단과 법질서의 방어이다. 1960-70년대의 형법개정작업을 살펴보면, 한 편으로는 전통적인 책임형벌에 대하여 법치국가원리를 관철하여 국가형벌권을 제한하면서도, 다른 한편으로 보안처분과 행형을 통하여 개방된 형태의 자유의 박탈을 지향한다. 그러나 이러한 개정작업들은 궁극적으로 바로 재범의 위험성 때문에 위험한 범죄인을 사회로부터 격리하려는 뚜렷한 경향을 나타낸다. 이러한 경향은 1980년-현재까지의 발전과정에 그대로 반영되어 있다. 특히 보안감호 처분은 실질적으로는, 재범의 위험있는 범죄인이 가능한 한 행형의 단계에서 사회로 환원되는 것을 저지하는 기능을 수행함으로써 법질서의 방어의 목적에 기여한다. 이것이 법치국가원리와 얼마나 상응하는가는 의문이다. 바로 이러한 법 치국가적 우려 때문에 우리나라에서는 지나치게 장기인 보호감호와 누범의 가중조항이 위헌결정을 받았던 것이다. 그리고 이 기간의 또 다른 특징은 독일에서 단기의 자유형에 상응하는 단기의 수형과 미결구금이 증가하였다는 점이다. 그렇다고 해서 독일의 형사제재체계가 형벌, 보안처분 그리고 행형체계에 의해서만 형성되어 있는 것은 아니다. 특히 행위자-피해자-조정제도와 범죄피해의 원상회복 그리고 형사소송절차에서의 유죄의 협상 등은 형사제재체계에서 독자적인 중요성을 확보하고 있다. 행형의 단계에는 행형의 목적설정에서부터 사회 방어사상이 중요한 행형의 목적으로 대두되고 있다. 특히 사회치료시설에의 수용은 점차 확대되어 가는 경향을 나타낸다. 이러한 독일의 형벌, 보안처분 그리고 행형체계의 현대적 발전과정을 살펴 볼 때, 과연 우리나라의 형사제재체계에 일종의 모델로서 제시될 수 있는가는 의문이다. 특히 법질서와 사회의 방어를 위해서는 얼마든지 사회로부터 격리시킬 수 있도록 한 것은 법치국가원리와 인권에 대한 중대한 침해이다. 우리나라의 일련의 헌법재판소의 위헌결정의 취지가 바로 여기에 있다는 것을 고려할 때 더더욱 그렇다.

The characteristics of local climate in the vicinity of Duckyang Bay have been investigated with the analysis of the surface observation data of Gohug District and the aerological data of Kwangju. In principal features of local climate, the annual range in temperature appeared identical with the mean value(24~25℃) of the south coastal area, and evaporation from April to September was likely less than precipitation. The average speed of surface wind in Summer seemed higher than in other seasons on account of wea breeze. Relative humidity was 74%, annual average. In the mean cloud cover Summer(6.4) showed greater deal of amount than Winter(4.2). Duration of sunshine was the longest in May(268.4hrs), while the shortest in February(188.4hrs). The amount of the precipitable water was the greatest in July, whereas the least in January, and in Summer the greatest, in Autumn the second greatest, and in Spring the third greatest, and in Winter the least in consideration of seasonal orders. The Summer deviation was most remarkable around all sides. The direction of vector wind appeared the most changeable on the earth surface. At an altitude of 300mb all the winds blew west around all months. Moreover, water vapor transport was measured to be the greatest in Summer; while the least in Winter. So was the deviation of water vapor transport. And lastly frequency of occurrence of days in which a little cloud appeared(less than 5/10) was high except for Summer, when northerly winds blew; while frequency of occurrence of day plenty of clouds floated was outstandingly high at the time of strong southerly winds.

A two-dimensional land and sea breeze model has been used for the investigation of the circulation over Cheju Island. The model which has different diffusion coefficients for the heat and for the momentum transfer is subdivided into two layers: the surface layer and Ekman layer. A Z^* coordinate system and non-uniform mesh have been applied for the model simulation. From the model simulation, we were able to conclude that low-level wind was much stronger over Cheju city than over Seoguipo city during sea breeze, and vice versa during land breeze. The sea breeze circulation was distinctive over Seoguipo area, and weak land breeze circulation was seen over Cheju area. Meanwhile sea breeze and land breeze circulations over Cheju and Seoguipo area, respectively, were not found in the model simulation.

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.

최근 10년간(1977년~1986년) 제주시와 서귀포시의 지상기상자료를 분석하여 제주도지방의 해륙풍의 기후학적 특성을 조사한 결과를 요약하면 다음과 같다. 1. 해륙풍의 발생빈도는 월별로는 8월(약 15.5%)이 가장 높고 그 다음이 9월, 10월, 5월, 11월의 순이다. 춘계보다는 추계가 더 발생빈도가 높으며 동계 매월 평균(약 5%)가 가장 낮다. 2. 해풍은 제주도의 북부해안이 남부해안보다 연평균 약 30분 정도 더 일찍 발생하고 약 1시간정도 늦게 소멸한다. 반대로 육풍은 남부해안이 북부보다 연평균 1시간 정도 일찍 발생하나 연평균 소멸시각은 남북해안이 비슷하다. 제주도지방의 해풍의 발생시각은 연평균 9~10시로 남해안 지방(13~14시)보다 약 4시간 이르며, 소멸시각은 연평균 17~19시로 역시 남해안지방(19~21시)보다 약 2시간 정도 이르다. 3. 해풍의 연평균 지속시간은 북부해안이 남부해안보다 약 1시간 정도 길고, 육풍의 그것은 반대로 약 1시간 정도 짧게 나타난다. 계절별로는 해풍의 경우 하계가 동계보다 길고 육풍의 경우는 또 그 반대이다. 해풍에서 육풍으로의 전이시간은 하계가 길고 동계가 짧은 경향을 보이며, 육풍에서 해풍으로의 전이시간은 계절적인 특징이 나타나지 않는다. 4. 해풍의 최대풍속의 출현시각은 연 평균적으로 북부해안(14.0시)보다 남부(13.4)가 다소 일찍 나타나나, 육풍은 비슷한 양상(약 2.5시)을 보여주며, 해풍이나 육풍 모두 월평균 출현시각의 계절적 특징은 뚜렷하지 않다. 그리고 해풍과 육풍의 월평균 최대풍속은 각각 남북해안 모두 비슷하고 연평균으로는 해풍(약 4.1m/s)이 육풍(약 3.3m/s)보다 다소 강하다.

The characteristics of the anomaly level, variability and distribution of monthly mean precipitation have been investigated at 4 different weather stations on Cheju Island, Korea. The results of this study are as follows : 1) The SE area of Cheju Island turns out to be the heavy rain area from February to July than the NW area of the island. The heavy rain area migrates from the SE area to the NE area during the period from August to January. 2) The rainy season, in which monthly mean precipitation is more than 180mm, appears in Cheju City and Sungsan from June to August, in Seoguipo from April to August, and in Daejung from June to July. On the other hand, the dry season, in which monthly mean precipitation is less than 100㎜, appears in Cheju City from October to May, in Sungsan from December to February in Seoguipo from October to February, and in Daejung from October to March. 3) The variability of precipitation on Cheju Island appears high during the 'Changma' spell and it is also high in autumn, particularly in October, and appears low in March and April. 4) The frequency of the anomaly level shows maximum not only on the normal level but the lower normal level and the upper normal level in monthly precipitation. The annual frequency distribution of each anomaly level shows maximum on the normal level, and the frequency of the lower normal level is a lot higher than the lower normal level. 5) The precipitation of the summer season acts as an important variable in deciding between the dry year and the moisture year. In particular, this applies to the large precipition of June in the moisture year and the small precipitation of July and August in the dry year.

산천지방의 해풍은 사천부근의 지형, 특히 사천만과 소백산맥 등의 지형적인 영향으로 인하여 다음과 같은 특성을 가지고 있다. 1. 해륙풍의 발생빈도는 평균적 98.1일 (26.9%)로 김해지방의 56.8일 (15.5%) 및 부산지방의 65.8일 (19.0%)보다 높으며, 3월이 가장 많고 7월이 가장 작다. 2. 해풍의 평균 발생 시각은 13.3시로서 김해지방 (13.9시)보다 여름철을 제외하고는 빠르게 발생한다. 또, 평균 소면시각은 19.3시로서 김해지방 (20.3시)보다 빠르게 감소하며, 평균 지속시간은 5.9시간으로 김해지방(6.5시간)보다 겨울을 제외하고는 짧게 나타난다. 3. 해풍의 평균풍속은 5.8kts로서 김해지방 (6.8kts)과 부산지방(7.8kts)보다 약하며, 4월(7.7kts)이 가장 강하고 12월(4.8kts)이 가장 약하게 나타난다. 4. 해풍의 고도는 해풍발생과 함께 높아지고 해풍이 소멸되면서 점점 낮아진다. 때때로 21시 이후에도 1000 feet 이상의 고도까지 해풍이 존재한다

The study was aimed to investigate the correlation between tidal effects and fog occurrence in Incheon and Mokpo, which are located in the middle and southern coasts of the West Sea of Korea, respectively. The investigation used meteorological data obtained from the automated synoptic observing systems and automatic weather stations and ocean data from tide stations from 2010 to 2019. Fog occurrence frequency was highest at high tide (Incheon, 41%; Mokpo, 45%). During fog event days at high tide, the dew-point depression was low (Incheon, 0.5 ℃; Mokpo, 0.4 ℃) and the relative humidity was high (Incheon, 97%; Mokpo, 9 8%). The w ind speed w as 2 . 4 m/s in I ncheon a nd 2 .0 m/s in M okpo, a nd t he m ain wind d irections w ere west-southwesterly from Incheon and southwesterly from Mokpo. In the fog case study, tidal flats were covered with water before and after the fog started. During the fog period, both stations experienced negative air-sea temperature differences, low dew-point depression, and high relative humidity were maintained, with weak winds forming from the tidal flats to the shore.

This study investigated the relationship between heat-related illnesses obtained from healthcare big data and daily maximum temperature observed in seven metropolitan cities in summer during 2013~2015. We found a statistically significant positive correlation (r = 0.4~0.6) between daily maximum temperature and number of the heat-related patients from Pearson's correlation analyses. A time lag effect was not observed. Relative Risk (RR) analysis using the Generalized Additive Model (GAM) showed that the RR of heat-related illness increased with increasing threshold temperature (maximum RR = 1.21). A comparison of the RRs of the seven cities, showed that the values were significantly different by geographical location of the city and had different variations for different threshold temperatures. The RRs for elderly people were clearly higher than those for the all-age group. Especially, a maximum value of 1.83 was calculated at the threshold temperature of 35℃ in Seoul. In addition, relatively higher RRs were found for inland cities (Seoul, Gwangju, Daegu, and Daejeon), which had a high frequency of heat waves. These results demonstrate the significant risk of heat-related illness associated with increasing daily maximum temperature and the difference in adaptation ability to heat wave for each city, which could help improve the heat wave advisory and warning system.

In this study, the impacts of local meteorology caused by tidal changes in the West Sea on ozone distributions in the Seoul Metropolitan Area (SMA) were analyzed using a meteorological model (WRF) and an air quality (CMAQ) model. This study was carried out during the day (1200–1800 LST) between August 3 and 9, 2016. The total area of tidal flats along with the tidal changes was calculated to be approximately 912 km2, based on data provided by the Environmental Geographic Information Service (EGIS) and the Ministry of Oceans and Fisheries (MOF). Modeling was carried out based on three experiments, and the land cover of the tidal flats for each experiment was designed using the coastal wetlands, water bodies (i.e., high tide), and the barren or sparsely vegetated areas (i.e., low tide). The land cover parameters of the coastal wetlands used in this study were improved in the herbaceous wetland of the WRF using updated albedo, roughness length, and soil heat capacity. The results showed that the land cover variation during high tide caused a decrease in temperature (maximum 4.5℃) and planetary boundary layer (PBL) height (maximum 1200 m), and an increase in humidity (maximum 25%) and wind speed (maximum 1.5 ms-1). These meteorological changes increased the ozone concentration (about 5.0 ppb) in the coastal areas including the tidal flats. The increase in the ozone concentration during high tide may be caused by a weak diffusion to the upper layer due to a decrease in the PBL height. The changes in the meteorological variables and ozone concentration during low tide were lesser than those occurring during high tide. This study suggests that the meteorological variations caused by tidal changes have a meaningful effect on the ozone concentration in the SMA.

Heat watch warning systems are operating in Korea and several other countries (China, the United Kingdom, France, the United States, Germany, Australia, and Japan). The heat wave indices used in this system are the heat index, perceived temperature, the wet bulb globe temperature, and the daily maximum temperature. To improve the heat wave advisory and warning system, some suggestions have been made. The meteorological-health index (i.e., indirect index), has especially been proposed in previous studies. This information should be provided not only to vulnerable groups (seniors, infants, and children), but also to outdoor workers who may be particularly exposed to heat waves. In addition, to have sufficient preemptive response times, the need for an extension of the heat watch warning period was suggested. Finally, the subdivision of administrative units and risk stages was proposed.

Temporal and spatial variations in surface ozone concentrations in Busan were investigated by using observation data from urban air quality sites during 2001-2016. The annual ozone concentrations showed a significant increasing trend of +0.40 ppb yr-1 in this period, with a more rapid increase of +0.81 ppb yr-1 since 2010. For the monthly analysis, the increase in ozone concentration was the greatest in August (+0.68 ppb yr-1). These ozone trends were due mainly to rising temperature (+0.05℃ yr-1) and weak decreasing precipitation (－6.42 mm yr-1). However, the extreme weather events (heat wave, localized heavy rain, etc.) lead to an increase in short-term variability of ozone since 2010. The relatively low ozone concentrations in the downtown area were caused by high NOx emissions from mobile sources. The increases in ozone concentrations were observed at most of the air quality monitoring sites due to the reductions in anthropogenic emissions of NOx during 2001-2015. However, in the southern coastal area, lower rates of increase in ozone concentrations were observed by –0.10~0.25 ppb yr-1 due to the significant NOx emitted by ships in the Busan port and Busan new port.

Meteorological factors and air pollutants are associated with respiratory diseases, and appropriate use of weather and air quality information is helpful in the management of patients with such diseases. This study was performed to investigate both the utilization of weather and air quality information by, and the needs of, patients with respiratory diseases. Questionnaires were administered to 112 patients with respiratory diseases, 60.7% of whom were female. The rates of bronchial asthma and chronic obstructive pulmonary disease among patients were 67.0% and 10.7%, respectively. The majority of subjects (90%) responded that prevention was important for respiratory disease management and indicated that they used weather and air quality information either every day or occasionally. However, respondents underestimated the importance of weather and air quality information for disease management and were unaware of some types of weather information. The subjects agreed that respiratory diseases were sensitive to weather and air quality. The most important weather-related factors were diurnal temperature range, minimum temperature, relative humidity, and wind, while those for air quality were particulate matter and Asian dust. Information was gleaned mainly from television programs in patients aged 60 years and older and from smartphone applications for those below 60 years of age. The subjects desired additional information on the management and prevention of respiratory diseases. This study identified problems regarding the utility of weather and air quality information currently available for patients with respiratory diseases, who indicated that they desired disease-related information, including information in the form of action plans, rather than simple health- and air quality-related information. This study highlights the necessity for notification services that can be used to easily obtain information, specifically regarding disease management.

Both the propagation velocity and the direction of atmospheric waves are important factors for analyzing and forecasting meteo-tsunami. In this study, a total of 14 events of meteo-tsunami over 11 years (2006-2016) are selected through analyzing sea-level data observed from tidal stations along the west coast of the Korean peninsula. The propagation velocity and direction are calculated by tracing the atmospheric disturbance of each meteo-tsunami event predicted by the WRF model. Then, the Froude number is calculated using the propagation velocity of atmospheric waves and oceanic long waves from bathymetry data. To derive the critical condition for the occurrence of meteo-tsunami, supervised learning using a logistic regression algorithm is conducted. It is concluded that the threshold distance of meteo-tsunami occurrence, from a propagation direction, can be calculated by the amplitude of air-pressure tendency and the resonance factor, which are found using the Froude number. According to the critical condition, the distance increases logarithmically with the ratio of the amplitude of air-pressure tendency and the square of the resonance factor, and meteo-tsunami do not occur when the ratio is less than 5.11 hPa/10 min.

Provider-oriented weather information has been rapidly changing to become more customer-oriented and personalized. Given the increasing interest in wellness and health topics, the demand for health weather information, and biometeorology, also increased. However, research on changes in the human body according to weather conditions is still insufficient due to various constraints, and interdisciplinary research is also lacking. As part of an effort to change that, this study surveyed medical practitioners at an actual treatment site, using questionnaires, to investigate what kind of weather information they could utilize. Although there was a limit to the empirical awareness that medical staff had about weather information, most respondents noted that there is a correlation between disease and weather, with cardiovascular diseases (coronary artery disease (98.5%) and hypertension (95.9% ), skin diseases (atopic dermatitis (100%), sunburn (93.8%)) being the most common weather-sensitive ailments. Although there are subject-specific differences, most weather-sensitive diseases tend to be affected by temperature and humidity in general. Respiratory and skin diseases are affected by wind and solar radiation, respectively.

This study analyzes the PM10 characteristics (particulate matter with aerodynamic diameter less than 10 ㎛), concentration, and emissions in eight large South Korean cities (Seoul, Incheon, Daejeon, Daegu, Gwangju, Ulsan, Busan, Jeju). The annual median of PM10 concentration showed a decline of 0.02~1.97 ㎍/㎥ in the regions, except for Incheon, which recorded an annual 0.02 ㎍/㎥ increase. The monthly distribution levels were high in spring, winter, fall, and the summer, but were lower in summer for all regions except for Ulsan. These differences are thought to be due to the dust in spring and the cleaning effect of precipitation in summer. The variation in concentrations during the day (diurnal variation) showed that PM10 levels were very high during the rush hour and that this was most extreme in the cities (10.00 and 18.00-21.00). The total annual PM10 emissions analysis suggested that there had been a general decrease, except for Jeju. On-road mobile (OM) sources, which contributed a large proportion of the particulates in most regions, decreased, but fugitive dust (FD) sources increased in the remaining regions, except for Daegu. The correlation analysis between PM10 concentrations and emissions showed that FD could be used as a valid, positive predictor of PM10 emissions in Seoul (74.5% (p<0.05)), Dajeon (47.2% (p<0.05)), and Busan (59.1% (p<0.01)). Furthermore, industrial combustion (IC) was also a significant predictor in Incheon (61.7% (p<0.01)), and on-road mobile (OC) sources were a valid predictor in Daegu (24.8% (p<0.05)).

To prevent increasing instances of heat-related illnesses due to heat waves generated by climate change, a customized thermal environment index should be developed for outdoor workers. In this study, we conducted sensitivity analysis of the Masan harbor during a heat wave period (August 9th to 15th, 2013) using the MENEX model with metabolic rate and clothing-insulation data, in order to obtain realistic information about the thermal environment. This study shows that accurate input data are essential to gather information for thermophysiological indices (PST, DhR, and OhR). PST is sensitive to clothing insulation as a function of clothing. OhR is more sensitive to clothing insulation during the day and to the metabolic rate at night. From these results, it appears that when exposed to high-temperature thermal environments in summer, wearing highly insulated clothing and getting enough rest (to lower the metabolic rate) can aid in preventing heat-related illnesses. Moreover, in the case of high-intensity harbor work, quantification of allowed working time (OhR) during heat waves is significant for human health sciences.

Meteo-tsunamis are tsunamis that are typically caused by strong atmospheric instability (e.g., pressure jumps) in low pressure systems, but some meteo-tsunamis in winter can be caused by local atmospheric instability in high pressure systems (e.g., the Siberian High). In this study, we investigated a meteo-tsunami event related to a high pressure system that occurred during winter on the Yellow Sea in 2005. Sea level data from tidal stations were analyed with a high-pass filter, and we also performed synoptic weather analyses by using various synoptic weather data (e.g., surface weather charts) collected during the winter season(DJF) of 2005. A numerical weather model (WRF) was used to analyze the atmospheric instability on the day of the selected event (21 Dec. 2005). On the basis of the results, we suggest that the meteo-tsunami triggered by the high pressure system occurred because of dynamic atmospheric instability induced by the expansion and contraction of the Siberian High.

The effect of weather on disease was investigated based on results reported in academic papers. Weather-sensitive disease was selected by analyzing the frequency distributions of diseases and correlations between diseases and meteorological factors (e.g., temperature, humidity, pressure, and wind speed). Correlations between disease and meteorological factors were most frequently reported for myocardial infarction (MI) (28%) followed by chronic ischemic heart disease (CHR) (12%), stroke (STR) (10%), and angina pectoris (ANG) (5%). These four diseases had significant correlations with temperature (meaningful correlation for MI and negative correlations for CHR, STR, and ANG). Selecting MI, as a representative weather-sensitive disease, and summarizing the quantitative correlations with meteorological factors revealed that, daily hospital admissions for MI increased approximately 1.7%-2.2% with each 1℃ decrease in physiologically equivalent temperature. On the days when MI occurred in three or more patients larger daily temperature ranges (2.3℃ increase) were reported compared with the days when MI occurred in fewer than three patients. In addition, variations in pressure (10 mbar, 1016 mbar standard) and relative humidity (10%) contributed to an 11%-12% increase in deaths from MI and an approximately 10% increase in the incidence of MI, respectively.

Sensitivity analysis of the WRF model according to the impact of nudging (e.g., nudging techniques and application domains) was conducted during high nocturnal ozone episode to improve the prediction of the regional ozone concentration in the southeastern coastal area of the Korean peninsula. The analysis was performed by six simulation experiments: (1) without nudging (e.g., CNTL case), (2) with observation nudging (ONE case) to all domains (domain 1∼4), (3) with grid nudging (GNE case) to all domains, (4)∼(6) with grid nudging to domain 1, domain 1∼2 and domain 1∼3, respectively (GNE-1, GNE-2, GNE-3 case). The results for nudging techniques showed that the GNE case was in very good agreement with those observed during all analysis periods (e.g., daytime, nighttime, and total), as compared to the ONE case. In particular, the large effect of grid nudging on the near-surface meteorological factors (temperature, relative humidity, and wind fields) was predicted at the coastline and nearby sea during daytime. The results for application domains showed that the effects of nudging were distinguished between the meteorological factors and between the time periods. When applied grid nudging until subdomain, the improvement effects of temperature and relative humidity had differential tendencies. Temperature was increased for all time, but relative humidity was increased in daytime and was decreased in nighttime. Thus, GNE case showed better result than other cases.