• 제목/요약/키워드: Heatwaves

검색결과 23건 처리시간 0.022초

PNU CGCM-WRF Chain을 이용한 남한 지역 폭염 장기 계절 예측성 평가 (Evaluation of Long-Term Seasonal Predictability of Heatwave over South Korea Using PNU CGCM-WRF Chain)

  • 김영현;김응섭;최명주;심교문;안중배
    • 대기
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    • 제29권5호
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    • pp.671-687
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    • 2019
  • This study evaluates the long-term seasonal predictability of summer (June, July and August) heatwaves over South Korea using 30-year (1989~2018) Hindcast data of the Pusan National University Coupled General Circulation Model (PNU CGCM)-Weather Research and Forecasting (WRF) chain. Heatwave indices such as Number of Heatwave days (HWD), Heatwave Intensity (HWI) and Heatwave Warning (HWW) are used to explore the long-term seasonal predictability of heatwaves. The prediction skills for HWD, HWI, and HWW are evaluated in terms of the Temporal Correlation Coefficient (TCC), Root Mean Square Error (RMSE) and Skill Scores such as Heidke Skill Score (HSS) and Hit Rate (HR). The spatial distributions of daily maximum temperature simulated by WRF are similar overall to those simulated by NCEP-R2 and PNU CGCM. The WRF tends to underestimate the daily maximum temperature than observation because the lateral boundary condition of WRF is PNU CGCM. According to TCC, RMSE and Skill Score, the predictability of daily maximum temperature is higher in the predictions that start from the February and April initial condition. However, the PNU CGCM-WRF chain tends to overestimate HWD, HWI and HWW compared to observations. The TCCs for heatwave indices range from 0.02 to 0.31. The RMSE, HR and HSS values are in the range of 7.73 to 8.73, 0.01 to 0.09 and 0.34 to 0.39, respectively. In general, the prediction skill of the PNU CGCM-WRF chain for heatwave indices is highest in the predictions that start from the February and April initial condition and is lower in the predictions that start from January and March. According to TCC, RMSE and Skill Score, the predictability is more influenced by lead time than by the effects of topography and/or terrain feature because both HSS and HR varies in different leads over the whole region of South Korea.

친환경 세라믹 도료 열적측정을 통한 쿨루프 정책 확대방안 (Expansion of Cool Roof Policy through Thermal Measurement of Eco-Friendly Ceramic Coating)

  • 박민용;이동호
    • 토지주택연구
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    • 제11권3호
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    • pp.75-82
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    • 2020
  • The urban heat island phenomenon that accelerates global warming has always been controversial when summer heatwaves have occurred since it was first investigated and described by Luke Howard in the 1810s. In Korea, since 2014, government have been interested in Cool Roof and painted white coating on the rooftops of the aging and weak buildings, and the cool roof business has expanded nationwide. However, the roof occupies 20-25% of the entire city surface, much less than 37-45% of the pavement area consisting of roads, parking lots and sidewalks, there is a need to expand the policy of Cool Pavement as a way to reduce the urban heat island phenomenon. Domestic cities are high-rise buildings centered on apartments, and the area occupied by outer walls is larger than that of rooftops compared to foreign low-rise buildings. Therefore, as a way to reduce the urban heat island phenomenon, there is a need for a policy to expand the Cool Roof in buildings and use Cool Wall in parallel. Therefore, this study aims to present the expansion of Cool Wall in buildings and Cool Pavement in urban areas, expanding the installation range of Cool Roof, by comparing and reviewing the thermal characteristics of eco-friendly ceramic coating with excellent thermal proof performance and coatings used for roof waterproofing.

폭염재난 대응 실시간 관제 플랫폼에 관한 연구 (Study on Real-Time Monitoring Platform for Countermeasures for Heatwave)

  • 정강희;곽창혁
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제11권4호
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    • pp.113-118
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    • 2022
  • 지구온난화는 세계적인 기온의 상승과 함께 폭염으로 인한 온열질환의 인명피해도 증가하고 있다. 특히, 주요 온열질환 취약계층은 실외작업자와 고령자이며, 점차 증가하는 폭염 피해에 대응이 필요한 실정이다. 본 연구는 온열질환 취약계층을 대상으로 폭염 피해를 대응하는 방안으로 웨어러블 디바이스로부터 사용자의 활력 징후 데이터의 수집 및 분석을 통해, 온열질환 피해가 예상되는 의심환자에 대한 이벤트를 발생시켜 신속한 대응을 할 수 있는 실시간 관제 플랫폼을 제안한다.

Multivariate assessment of the occurrence of compound Hazards at the pan-Asian region

  • Davy Jean Abella;Kuk-Hyun Ahn
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.166-166
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    • 2023
  • Compound hazards (CHs) are two or more extreme climate events combined which occur simultaneously in the same region at the same time. Compared to individual hazards, the combination of hazards that cause CHs can result in greater economic losses and deaths. While several extreme climate events have been recorded across Asia for the past decades, many studies have only focused on a single hazard. In this study, we assess the spatiotemporal pattern of dry compound hazards which includes drought, heatwave, fire and wind across Asia for the last 42 years (1980-2021) using the historical data from ERA5 Reanalysis dataset. We utilize a daily spatial data of each climate event to assess the occurrence of such compound hazards on a daily basis. Heatwave, fire and wind hazard occurrences are analyzed using daily percentile-based thresholds while a pre-defined threshold for SPI is applied for drought occurrence. Then, the occurrence of each type of compound hazard is taken from overlapping the map of daily occurrences of a single hazard. Lastly, a multivariate assessment are conducted to quantify the occurrence frequency, hotspots and trends of each type of compound hazard across Asia. By conducting a multivariate analysis of the occurrence of these compound hazards, we identify the relationships and interactions in dry compound hazards including droughts, heatwaves, fires, and winds, ultimately leading to better-informed decisions and strategies in the natural risk management.

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Cluster analysis of city-level carbon mitigation in South Korea

  • Zhuo Li
    • 한국컴퓨터정보학회논문지
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    • 제28권7호
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    • pp.189-198
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    • 2023
  • 최근 지구온난화로 인한 폭염, 태풍, 폭설 등 기후변화를 급증하고 있다. 미국 뉴욕에서 개최된 제 25차 '기후변화 당사국총회(COP25)'에 따른 세계 각국은 '탄소중립' 달성하기 위한 협상을 진행했다. 도시는 경제발전뿐만 아니라 탄소중립 과정에서도 중요한 역할을 수행한다. 본 연구는 이산화탄소와 관계되는 경제요인 및 환경요인을 고려하여 엘보우 규칙 (Elbow method) 과 K-means 군집 알고리즘을 활용하여 한국 63개 도시의 탄소배출 현황을 분석하였다. 연구결과에 따른 한국 도시는 기술집약 도시, 경공업 도시, 미래 혁신도시, 중공업 도시, 서비스 집약도시 및 농촌, 가정생산집약도시로 구분될 수 있고 향후 시도별 탄소중립 목표를 실천하기 위해 구체적인 제안을 제시하였다.

기후변화에 따른 폭염 중장기적 적응대책 수립 및 관리 방안 (Strategy for Development and Management of a Long-term Heatwave Plan Addressing Climate Change)

  • 최지혜;하종식
    • 환경정책연구
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    • 제14권3호
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    • pp.21-40
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    • 2015
  • 폭염은 과거 하절기에도 있어 왔던 현상이나, 최근 기후변화로 인하여 발생빈도 및 강도가 심화되고 폭염 발생시기의 불확실성이 가중됨에 따라 그 피해는 더욱 커지고 있다. 이에 폭염 대응은 폭염 발생 후 대응뿐만 아니라 사전에 그 피해를 예방할 수 있도록 중장기적 차원의 접근이 요구된다고 할 수 있다. 이에 국내 폭염 대응은 현재의 폭염에 대응하는 단기적인 대책에 미래 기후변화를 고려한 사전 예방적 차원의 관련 분야를 망라하는 포괄적 대책, 그리고 이를 중장기적으로 관리함으로써 수정 보완해가는 대책으로 수립되어야 한다. 국내 폭염으로 인한 피해 및 이에 대한 현재의 국내 폭염 대책을 고찰하고 대책통합과 적응관리의 프레임워크를 적용하여 기후변화를 고려한 폭염 대응의 중장기적 적응대책 수립 관리 방안을 제시하였다.

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국내 폭염 연구 동향 분석 (Analysis of Domestic Heatwave Research Trends)

  • 백준범;권용석
    • 한국재난정보학회 논문집
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    • 제17권4호
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    • pp.755-768
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    • 2021
  • 연구목적: 다양한 주제와 목적으로 연구가 진행되는 폭염 연구의 특성상 연구의 질적 향상과 고도화를 제고하기 위해서는 연구의 동향 및 발전 방향을 전망하는 것이 중요하다. 따라서, 폭염 연구의 현황과 앞으로 수행될 연구의 방향성을 제시할 수 있는 기초자료를 제공하고자 폭염 관련 연구의 동향과 추세를 살펴보고자 하였다. 연구방법: 2011년부터 2020년까지 한국연구재단에 등록된 학술지에 게재된 폭염 연구들을 대상으로 연구가 진행된 시기, 연구의 목적, 연구에 활용된 연구대상, 연구의 방법으로 분류하여 분석하였다. 연구결과: 주요 연구의 결과는 살펴보면 다음과 같다. 첫째, 폭염에 대한 관심이 증가할수록 폭염 연구의 수도 증가하고 있다. 둘째, 폭염 연구의 목적은 편중되었으며, 다양한 관점으로 연구되어야 할 필요가 있다. 셋째, 다양한 연구대상을 활용하였으나 균등한 연구가 이루어지지 못하였다. 넷째, 연구목적의 영향을 받아 연구방법의 편중이 함께 나타났다. 결론: 폭염에 의한 피해는 지속적이고 광범위하게 나타나고 있다. 이러한 폭염을 재난으로서 관리하고, 예방 및 대응하기 위해서는 다양한 분야에서 균등한 연구가 이루어져야 한다.

Physiological Data Monitoring of Physical Exertion of Construction Workers Using Exoskeleton in Varied Temperatures

  • Ibrahim, Abdullahi;Okpala, Ifeanyi;Nnaji, Chukwuma
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.1242-1242
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    • 2022
  • Annually, several construction workers fall ill, are injured, or die due to heat-related exposure. The prevalence of work-related heat illness may rise and become an issue for workers operating in temperate climates, given the increase in frequency and intensity of heatwaves in the US. An increase in temperature negatively impacts physical exertion levels and mental state, thereby increasing the potential of accidents on the job site. To reduce the impact of heat stress on workers, it is critical to develop and implement measures for monitoring physical exertion levels and mental state in hot conditions. For this, limited studies have evaluated the utility of wearable biosensors in measuring physical exertion and mental workload in hot conditions. In addition, most studies focus solely on male participants, with little to no reference to female workers who may be exposed to greater heat stress risk. Therefore, this study aims to develop a process for objective and continuous assessment of worker physical exertion and mental workload using wearable biosensors. Physiological data were collected from eight (four male and four female) participants performing a simulated drilling task at 92oF and about 50% humidity level. After removing signal artifacts from the data using multiple filtering processes, the data was compared to a perceived muscle exertion scale and mental workload scale. Results indicate that biosensors' features can effectively detect the change in worker physical and mental state in hot conditions. Therefore, wearable biosensors provide a feasible and effective opportunity to continuously assess worker physical exertion and mental workload.

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인공위성영상과 딥러닝을 이용한 건설공사현장 폭염취약지역 분석 (Heatwave Vulnerability Analysis of Construction Sites Using Satellite Imagery Data and Deep Learning)

  • 김슬기;박승희
    • 대한토목학회논문집
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    • 제42권2호
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    • pp.263-272
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    • 2022
  • 폭염과 도시열섬현상은 기후변화가 진행됨에 따라 피해가 더욱 커지고 있으며, 2050년까지 폭염 발생빈도는 2~6배가 증가될 것으로 예측된다. 특히, 폭염기간동안 건설공사현장에서의 근로자가 느끼는 더위체감지수는 매우 높으며, 도시열섬현상까지 고려하게 되면 체감지수는 더욱 높아진다. 열에 취약한 건설현장 환경과 건설근로자의 상황은 나아지지 않고 있으며, 피해를 줄이기 위해서는 효과적인 대응이 필요한 시점이다. 본 연구에서는 인공위성영상 이미지와 Land Surface Temperature (LST)와 Long Short Term Memory (LSTM) 딥러닝 모델 기법을 적용하여 33℃ 이상 온도가 되는 지역을 분석하고, 폭염에 취약한 건설공사현장을 식별하여 폭염 및 도시열섬현상의 복합적인 피해를 가중시킬 수 있는 가장 취약한 지역을 예측하여 도출하였다. 예측 결과를 통해 건설근로자의 안전을 보장하고, 건설현장 경보시스템의 기반이 될 수 있기를 기대한다.

Long-term pattern changes of sea surface temperature during summer and winter due to climate change in the Korea Waters

  • In-Seong Han;Joon-Soo Lee;Hae-Kun Jung
    • Fisheries and Aquatic Sciences
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    • 제26권11호
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    • pp.639-648
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    • 2023
  • The sea surface temperature (SST) and ocean heat content in the Korea Waters are gradually increased. Especially the increasing trend of annual mean SST in the Korea Water is higher about 2.6 times than the global mean during past 55 years (1968-2022). Before 2010s, the increasing trend of SST was led by winter season in the Korea Waters. However, this pattern was clearly changed after 2010s. The increasing trend of SST during summer is higher about 3.9 times than during winter after 2010s. We examine the long-term variations of several ocean and climate factors to understand the reasons for the long-term pattern changes of SST between summer and winter in recent. Tsushima warm current was significantly strengthened in summer compare to winter during past 33 years (1986-2018). The long-term patterns of Siberian High and East Asian Winter Monsoon were definitely changed before and after early- or mid-2000s. The intensities of those two climate factors was changed to the increasing trend or weakened decreasing trend from the distinctive decreasing trend. In addition, the extreme weather condition like the heatwave days and cold spell days in the Korea significantly increased since mid- or late-2000s. From these results, we can consider that the occurrences of frequent and intensified marine heatwaves during summer and marine cold spells during winter in the Korea Waters might be related with the long-term pattern change of SST, which should be caused by the long-term change of climate factors and advection heat, in a few decade.