• Title/Summary/Keyword: Meteorological disaster

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Development of Heat-Health Warning System Based on Regional Properties between Climate and Human Health (대도시 폭염의 기후-보건학적 특성에 기반한 고온건강경보시스템 개발)

  • Lee, Dae-Geun;Choi, Young-Jean;Kim, Kyu Rang;Byon, Jae-Young;Kalkstein, Laurence S.;Sheridan, Scott C.
    • Journal of Climate Change Research
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    • v.1 no.2
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    • pp.109-120
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    • 2010
  • Heat wave is a disaster, which increases morbidity and mortality in temperate regions. Climate model results indicate that both intensity and frequency of heat wave in the future will be increased. This study shows the result about relationship between excess mortality and offensive airmass in 7 metropolitan cities, and an operational Heat-Health Warning System (HHWS) in Korea. Using meteorological observations, the Spatial Synoptic Classification (SSC) has been used to classify each summer day from 1982 to 2007 into specific airmass categories for each city. Through the comparative study analysis of the daily airmass type and the corresponding daily mortality rate, Dry Tropical (DT), and Moist Tropical plus (MT+) were identified as the most offensive airmasses with the highest rates of mortality. Therefore, using the multiple linear regression, forecast algorithm was produced to predict the number of the excess deaths that will occur with each occurrence of the DT and MT+ days. Moreover, each excess death forecast algorithm was implemented for the system warning criteria based on the regional acclimatization differences. HHWS will give warnings to the city's residents under offensive weather situations which can lead to deterioration in public health, under the climate change.

Evaluation and Improvement of the KMAPP Surface Wind Speed Prediction over Complex Terrain Areas (복잡 지형 지역에서의 KMAPP 지상 풍속 예측 성능 평가와 개선)

  • Keum, Wang-Ho;Lee, Sang-Hyun;Lee, Doo-Il;Lee, Sang-Sam;Kim, Yeon-Hee
    • Atmosphere
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    • v.31 no.1
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    • pp.85-100
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    • 2021
  • The necessity of accurate high-resolution meteorological forecasts becomes increasing in socio-economical applications and disaster risk management. The Korea Meteorological Administration Post-Processing (KMAPP) system has been operated to provide high-resolution meteorological forecasts of 100 m over the South Korea region. This study evaluates and improves the KMAPP performance in simulating wind speeds over complex terrain areas using the ICE-POP 2018 field campaign measurements. The mountainous measurements give a unique opportunity to evaluate the operational wind speed forecasts over the complex terrain area. The one-month wintertime forecasts revealed that the operational Local Data Assimilation and Prediction System (LDAPS) has systematic errors over the complex mountainous area, especially in deep valley areas, due to the orographic smoothing effect. The KMAPP reproduced the orographic height variation over the complex terrain area but failed to reduce the wind speed forecast errors of the LDAPS model. It even showed unreasonable values (~0.1 m s-1) for deep valley sites due to topographic overcorrection. The model's static parameters have been revised and applied to the KMAPP-Wind system, developed newly in this study, to represent the local topographic characteristics better over the region. Besides, sensitivity tests were conducted to investigate the effects of the model's physical correction methods. The KMAPP-Wind system showed better performance in predicting near-surface wind speed during the ICE-POP period than the original KMAPP version, reducing the forecast error by 21.2%. It suggests that a realistic representation of the topographic parameters is a prerequisite for the physical downscaling of near-ground wind speed over complex terrain areas.

Probabilistic Monitoring of Effect of Meteorological Drought on Stream BOD Water Quality (기상학적 가뭄이 하천 BOD 수질에 미치는 영향의 확률론적 모니터링)

  • Jiyu Seo;Jeonghoon Lee;Hosun Lee;Sangdan Kim
    • Journal of Korean Society on Water Environment
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    • v.39 no.1
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    • pp.9-19
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    • 2023
  • Drought is a natural disaster that can have serious social impacts. Drought's impact ranges from water supply for humans to ecosystems, but the impact of drought on river water quality requires careful investigation. In general, drought occurs meteorologically and is classified as agricultural drought, hydrological drought, and environmental drought. In this study, the BOD environmental drought is defined using the bivariate copula joint probability distribution model between the meteorological drought index and the river BOD, and based on this, the environmental drought condition index (EDCI-BOD) was proposed. The results of examining the proposed index using past precipitation and BOD observation data showed that EDCI-BOD expressed environmental drought well in terms of river BOD water quality. In addition, by classifying the calculated EDCI-BOD into four levels, namely, 'attention', 'caution', 'alert', and 'seriousness', a practical monitoring stage for environmental drought of BOD was constructed. We further estimated the sensitivity of the stream BOD to meteorological drought, and through this, we could identify the stream section in which the stream BOD responded relatively more sensitively to the occurrence of meteorological drought. The results of this study are expected to provide information necessary for river BOD management in the event of meteorological droughts.

Investigating the Effects of Meteorological Disasters on Hydroelectric Power Generation Using a Structural Equation Modeling (구조방정식모형을 이용한 기상재해가 수력발전을 통한 전력 생산에 미치는 영향 분석)

  • Kim, Jiyoung;Byun, Sung ho;Yoo, Jiyoung;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.1
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    • pp.33-41
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    • 2023
  • Recently, global warming has accelerated climate change, increased extreme weather phenomena, and increased the frequency and intensity of weather disasters, leading to increasing uncertainty about the power production of new and renewable energy that is sensitive to weather. In fact, it has been reported that a number of damage to hydroelectric power generation have occurred due to weather disasters. Therefore, using the hydroelectric power generation performance data of Chungju Dam, meteorological data of Chungju Meteorological Observatory, and operation data of Chungju Dam, this study investigated the effect of meteorological disasters on hydroelectric power generation through structural equation modeling considering the number and intensity of meteorological disasters per month. The results indicated that the increased drought occurrence affected the decreased hydroelectric power generation by about 38.3 %, however the increased hydroelectric power generation could not explained by the increased flood occurrence. In conclusion, an increased drought occurrence in future may significantly influence hydroelectric power generation.

Estimation on the Turbulence Characteristics of Daily Instantaneous Maximum Wind Velocity (일순간최대풍속의 난류특성에 관한 평가)

  • Oh, Jong Seop
    • Journal of Korean Society of Disaster and Security
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    • v.10 no.1
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    • pp.75-84
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    • 2017
  • This study is concerned with the estimation of daily instantaneous maximum wind velocity in the meteorological major cities (selected each 17 points) during the yearly 1973-2016. The purpose of this paper is to present the turbulence statistic characteristics (probability distribution, correlation coefficient, turbulency intensity, shear velocity, roughness length, turbulence integral length, skewness, and kurtosis) of the daily instantaneous maximum wind velocity. In the processes of analysis, used observations data obtained at Korea Meteorological Adminstration (KMA). The estimation of non-Gaussian load effects for design applications has often been treated tacitly by invoking a conventional wind design load on the basis of Gaussian processes. This assumption breaks down when the instantaneous wind velocity processes exhibits non-Gaussianity. From the analysis results, the probability distribution of the daily instantaneous maximum wind velocity shows a very closed with non-Gaussian in the ensemble population 748, the correlation coefficient shows larger at inland area more than coastal area.

Characteristics of Heat wave Mortality in Korea (우리나라 폭염 인명피해 발생특징)

  • Kim, Do-Woo;Chung, Jea-Hak;Lee, Jong-Seol;Lee, Ji-Sun
    • Atmosphere
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    • v.24 no.2
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    • pp.225-234
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    • 2014
  • Analysis of the cause of death (Statistics Korea) showed that heat wave caused 442 deaths (21 per a year) from 1991 to 2011 in Korea. The number of summer heat-related deaths (heat disorders) increased exponentially as heat wave prolonged. In 1994 when the extreme heat wave prevailed, there were 92 heat-related deaths. Seasonally, heat-related deaths occurred most frequently in early August when air temperature is highest for a year, but it is frequent as well in late July when air temperature increases rapidly after withdrawal of Changma. The frequency of deaths by age has begun to increase from 40s and more than half of total deaths were occurred in the elderly (${\geq}60$). Except retired elderly, the most vulnerable group (job and age) was the elderly agricultural workers and the next was the jobless people in 40 s~50 s, assumed as homeless people. The most vulnerable regions were Hapcheon-gun, Uiryong-gun, and Sanchen-gun, which are inland rural area in Gyeongsang-do where the heat wave occurs most frequently in Korea. The heat-related death rate increased rapidly when air temperature exceeded $33^{\circ}C$ in both of the urban and rural area. Interestingly, the heat-related death were observed in the relatively lower temperature in the cities ($29^{\circ}C$), as compare to the rural area ($31^{\circ}C$).

Trends in Utilizing Satellite Navigation Systems for AI and IoT (AI 및 IoT에 대한 위성항법시스템 활용 동향)

  • Heui-Seon Park;Jung-Min Joo;Suk-Seung Hwang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.761-768
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    • 2023
  • In the 4th Industrial Revolution, AI(Artificial Intelligence) and IoT(Internet of Things) technologies are being applied to across various fields, with particularly prominence in asset management, disaster management, and meteorological observation. In these fields, it is necessary to accurately determine the real-time and precise tracking of the object's location and status, and to collect various data even in situations that are difficult to detect with existing sensors. In order to address these demands, the use of GNSS(Global Navigation Satellite System) is essential, and this technology enables the efficient management of assets, disaster prevent and response, and accurate weather forecasting. In this paper, we provide the investigated results for the latest trends in the application of GNSS in the fields of asset management, disaster management, and weather observation, among various fields incorporating AI and IoT and analyze them.

Preliminary study on Typhoon Information Contents Development for Pre-disaster Prevention Activities (사전방재활동을 위한 태풍정보 콘텐츠 개발에 관한 기초 연구)

  • Kim, Eun-Byul;Park, Jong-Kil;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.27 no.11
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    • pp.957-966
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    • 2018
  • 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.

River Water Environmental Management System by Construction of Early Warning System - A Comparative Study on Korea and Japan.

  • Kang Sang-Hyeok
    • Spatial Information Research
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    • v.12 no.4 s.31
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    • pp.329-337
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    • 2004
  • Typhoons Rusa (2002) and Maemi (2003) struck Kangwon and Gyeongnam provinces of Korea and caused the most extensive flood damages ever blown since the foundation of Meteorological Agency in 1927. Many cities are inundated, crippling the critical facilities and resulting In high irreversible losses of human lives, and damages to infrastructures. These kinds of flood damages were among the worst natural disaster that Korean people experienced. In order to reduce flood damage, it is necessary to investigate how to use the information of water environment during the rainfall disaster. Therefore as per the result of this study, we have suggested few but effective countermeasures for controlling the flooding damages and also the advancements in the areas of disaster information dissemination and early warning system for water environmental management by using optical fiber system in Japan are discussed.

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Construction of Typhoon Impact Based Forecast in Korea -Current Status and Composition- (한국형 태풍 영향예보 구축을 위한 연구 -현황 및 구성-)

  • Hana Na;Woo-Sik Jung
    • Journal of Environmental Science International
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    • v.32 no.8
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    • pp.543-553
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    • 2023
  • Weather forecasts and advisories provided by the national organizations in Korea that are used to identify and prevent disaster associated damage are often ineffective in reducing disasters as they only focus on predicting weather events (World Meteorological Organization(WMO ), 2015). In particular, typhoons are not a single weather disaster, but a complex weather disaster that requires advance preparation and assessment, and the WMO has established guidelines for the impact forecasting and recommends typhoon impact forecasting. In this study, we introduced the Typhoon-Ready System, which is a system that produces pre-disaster prevention information(risk level) of typhoon-related disasters across Korea and in detail for each region in advance, to be used for reducing and preventingtyphoon-related damage in Korea.