• 제목/요약/키워드: Temperature seasonality

검색결과 74건 처리시간 0.029초

Epidemiologic Trends and Seasonality of Scabies in South Korea, 2010-2017

  • Kim, Jong-Hun;Cheong, Hae-Kwan
    • Parasites, Hosts and Diseases
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    • 제57권4호
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    • pp.399-404
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    • 2019
  • Scabies is a parasitic skin infection with intense itching. Scabies infection seriously impairs quality of life, while outbreaks in medical institutions cause financial losses. This study aimed to present the annual and seasonal trend of prevalence of scabies in the national population. Scabies cases were extracted from National Health Insurance Service database and its epidemiologic characteristics were assessed. To analyze the seasonality of scabies occurrence, temperature and humidity were included in the model as weather factors, and the per capita gross national income index was adjusted. The annual prevalence by age group was 0.56-0.69 per 1,000 persons until the age of 40 years and peaked at 3.0-4.1 per 1,000 persons in the age group over 80 years. The number of women diagnosed with scabies has been consistently higher compared to that of men since 2010. Mean number of cases diagnosed as scabies was lowest in spring, approximately 4,000 cases, when the average temperature was less than $5^{\circ}C$ at 2 months prior, whereas more than 6,000 scabies cases occurred in autumn when temperatures exceeded $25^{\circ}C$ at 2 months prior. This study presents the epidemiological characteristics and seasonality of all cases nationwide over 8 years and will help to establish control policies.

함수 주성분 분석을 이용한 일별 도시가스 수요 예측 (Daily Gas Demand Forecast Using Functional Principal Component Analysis)

  • 최용옥;박혜성
    • 자원ㆍ환경경제연구
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    • 제29권4호
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    • pp.419-442
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    • 2020
  • 우리나라 도시가스 수요는 난방수요에 기인한 뚜렷한 동고하저의 계절성을 보이며, 기온에 따른 민감도는 시간에 따라 변화하는 것으로 나타났다. 본 연구에서는 시간에 따라 변화하는 계절성을 효과적으로 모형하기 위해서 시간변동 기온반응함수 개념을 도입하여 이를 해당 일의 기온분포로 적분하여 기온에 따른 수요변동을 추정한다. 또한 기상청에서 발표하는 향후 10일의 도시별 기온 예측치를 체계적으로 반영하여 도시가스 수요를 예측하는 방법론을 개발하였다. 평년기온분포를 사용한 것에 비해서 함수적 방법론을 이용하여 기상청의 기온 예측치를 기온분포예측치로 변환하여 예측했을 때 기온분포의 예측 오차율은 2배, 도시가스 수요의 예측 오차는 5배 가까이 감소하는 것을 확인하였다.

산소동위원소 분석을 이용한 신석기시대 연대도 패총의 굴 (Crassostrea gigas) 채집 계절성 연구 (Seasonality of shellfish gathering using oxygen isotope analysis of Crassostrea gigas from the Neolithic Yeondae-do shell midden site, Tongyeong, Korea)

  • 안덕임;이인성
    • 한국패류학회지
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    • 제31권1호
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    • pp.43-48
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    • 2015
  • Oxygen isotope ratios (${\delta}^{18}O$) of three Pacific oyster (Crassostrea gigas) specimens from the Neolithic Yeondae-do shell midden site, Tongyeong, Korea, were analyzed to determine the seasonality of shellfish gathering and site occupation. Oxygen isotope samples were taken from the left valve hinge sections of the specimens. Oxygen isotope values ranged between -0.1 ‰ and -2.4 ‰, between -0.2 ‰ and -2.9 ‰, and between 0.3 ‰ and -2.8 ‰ in oyster specimen #one, #two and #three, respectively. The isotope profiles showed seasonal temperature cycles, providing information related to the seasonality of shellfish gathering and site occupation. Hinge-edge oxygen isotope values of the specimens showed decreasing trends after passing through maximum values (winter), indicating that they formed during spring. Thus it can be assumed that during spring season, oysters were gathered and the site was occupied.

용존산소 농도모의시 상태공간모형과 승법 ARIMA모형의 시계열 분석 (Time series Analysis of State-space Model and Multiplication ARIMA Model in Dissolved Oxygen Simulation)

  • 이원호;서인석;한양수
    • 환경위생공학
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    • 제15권2호
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    • pp.65-74
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    • 2000
  • The purpose of this study is to develop the stochastic stream water quality model for the intake station of Chung-Ju city waterworks in the Han river system. This model was based on the theory of Box-Jenkins Multiplicative ARIMA(SARIMA) and the state space model to simulate changes of water qualities. Variable of water qualities included in the model are temperature and dissolved oxygen(DO). The models development were based on the data obtained from Jan. 1990 to Dec. 1997 and followed the typical procedures of the Box-Jenkins method including identification and estimation. The seasonality of DO and temperature data to formulate for the SARIMA model are conspicuous and the period of revolution was twelve months. Both models had seasonality of twelve months and were formulates as SARIMA {TEX}$(2,1,1)(1,1,1)_{12}${/TEX} for DO and temperature. The models were validated by testing normality and independency of the residuals. The prediction ability of SARIMA model and state space model were tested using the data collected from Jan. 1998 to Oct. 1999. There were good agreements between the model predictions and the field measurements. The performance of the SARIMA model and state space model were examined through comparisons between the historical and generated monthly dissolved oxygen series. The result reveal that the state space model lead to the improved accuracy.

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Comparative Morphology and Seasonality of Campylaephora borealis and C. crassa (Ceramiaceae, Rhodophyta)

  • Seo, Kyung-Suk;Boo, Sung-Min
    • ALGAE
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    • 제20권4호
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    • pp.325-331
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    • 2005
  • Populations of Campylaephora borealis (Nakamura) Seo, Cho et Boo and C. crassa (Okamura) Nakamura show a year-around occurrence of all life-history stages. Such a concurrency of life-history stages produces problems in recognizing species in the field. Here, we invesitgated the morphological variation and life-history stages of both species using a statistical character analysis. Life-history stage was correlated with the seawater temperature in C. borealis, whereas it was dependant on biomass in C. crassa. Thalli had dichotomous branches with adaxial branchlets. The statistics showed that the seasonal change in morphology of C. borealis was significantly different from that of C. crassa in seven qualitative characters and five quantitative characters (p < 0.001), although six quantitative features including tetrasporangial size were similar in both species. The morphological difference between the two species may be due to the annual variation of branchlet number and the variance of branch subangle.

산소동위원소 분석을 이용한 당진 가곡리 패총 굴 (Crassostrea gigas) 의 채집 계절 연구 (Seasonality of shellfish gathering using oxygen isotope analysis of Crassostrea gigas from the Gagok-ri shell midden site, Dangjin)

  • 안덕임;이인성
    • 한국패류학회지
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    • 제30권1호
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    • pp.1-8
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    • 2014
  • 우리나라의 패총에 대한 이해를 위해서는 패총을 주로 구성하는 굴에 대한 연구가 중요하다. 그러나 굴은 패각이 약하고 부서지기 쉬운 특성으로 인해 완형의 패각 시료를 입수하는 것이 어렵기 때문에 산소동위원소 분석 및 고고학적 연구에 한계가 있다. 이에 본 연구에서는 굴 채집 및 패총 유적 점유 계절성 연구를 위한 시론으로서, 패각 본체가 부서져도 비교적 단단한 조직을 갖고 있어 양호한 상태로 잘 보존되는 굴의 경첩 부위를 이용한 산소동위원소 분석을 시도하였다. 분석을 위한 시료는 당진 가곡리의 신석기시대 패총에서 출토된 굴을 이용하였다. 분석 결과 가곡리 굴 시료의 산소동위원소 값은 - 2.02- -6.05‰의 범위 안에서 주기성을 보이며 계절적 수온 변화 주기를 나타내었다. 탄소동위원소 값도 산소동위원소 값의 증감과 유사한 변화주기를 보이고 있어 산소동위원소와 더불어 서식환경의 계절적인 영향을 잘 반영하였다. 이러한 동위원소 분석을 바탕으로 가곡리 굴 시료는 최고 수온기를 지나 수온이 하강하는 시점 즉 가을철에 채집된 것으로 판단되며 이를 바탕으로 가곡리 패총은 가을철에 이용된 것으로 추정할 수 있다. 패총의 전반적인 점유계절에 관하여는 좀 더 많은 시료가 분석된다면 보다 상세히 알 수 있을 것이다. 따라서 굴의 경첩 부위를 이용한 산소동위원소 분석법은 고고학적인 계절성 연구에 적용 가능하고, 향후 고고학적인 문제의 해결에 기여할 것으로 기대된다. 또한 경첩은 크기가 작아 분석 비용을 절감할 수 있어 경제적이다. 경첩의 작은 크기로 인한 시료 채취상의 문제는 미세채취기 (micromill) 를 이용한 고해상 (high-resolution) 의 동위원소 분석 방법을 이용하면 극복될 것으로 생각된다.

도심 지역의 다이옥신류 폴리염화비페닐류의 침적 플럭스 (Deposition flux of dioxin-like polychlorinated biphenyls(DLPCBs) in urban environment of Busan)

  • 문효방;이수정;최희구;옥곤
    • 한국환경과학회지
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    • 제13권5호
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    • pp.469-478
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    • 2004
  • Atmospheric bulk (wet and dry) samples were monthly collected in an urban environment (Daeyeon-dong) of Busan over a year, to assess the deposition flux and seasonality of dioxin-like polychlorinated biphenyls (DLPCBs) using stainless steel pots. Deposition fluxes of DLPCBs in bulk samples were determined using high resolution gas chromatography coupled to high resolution mass spectrometry (HRGC/HRMS). Particle deposition fluxes in the urban environment varied from 23 to 98 $mg^2$/year (mean 41 $gm^2$/year). DLPCB deposition fluxes in atmospheric bulk samples ranged from 0.09 to 0.77 ng-$TEQ/m^2$/year (mean 0.35 ng-$TEQ/m^2$/year). Seasonal atmospheric deposition fluxes of DLPCBs were high in winter and low in summer. Atmospheric deposition fluxes of particles and DLPCBs in this study were comparable to or slightly lower values than those of different locations in the world. Monthly DLPCB profiles in deposition bulk samples were similar over a year. Non-ortho PCBs were higher contributions to the total DLPCBs fluxes than mono-ortho PCBs. In particular, PCB 126 had the highest concentrartion (>75%) in all deposition samples, followed by PCB 169 and PCB 156. A highly positive correlation was found among the deposition fluxes of DLPCB species, suggesting the possibility of that the DLPCB contamination originated from one source. The deposition fluxes of DLPCBs were not significantly correlated with temperature and the amount of precipitation even though the summer season with the highest temperature and the largest amount of precipitation showed the lowest DLPCB deposition flux.

국내 기후변화 관련 감염병과 기상요인간의 상관성 (Correlations Between Climate Change-Related Infectious Diseases and Meteorological Factors in Korea)

  • 김시헌;장재연
    • Journal of Preventive Medicine and Public Health
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    • 제43권5호
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    • pp.436-444
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    • 2010
  • Objectives: Infectious diseases are known to be affected by climate change. We investigated if the infectious diseases were related to meteorological factors in Korea. Methods: Scrub typhus, hemorrhagic fever with renal syndrome (HFRS), leptospirosis, malaria and Vibrio vulnificus sepsis among the National Notifiable Infectious Diseases were selected as the climate change-related infectious diseases. Temperature, relative humidity and precipitation were used as meteorological factors. The study period was from 2001 through 2008. We examined the seasonality of the diseases and those correlations with meteorological factors. We also analyzed the correlations between the incidences of the diseases during the outbreak periods and monthly meteorological factors in the hyper-endemic regions. Results: All of the investigated diseases showed strong seasonality; malaria and V. vulnificus sepsis were prevalent in summer and scrub typhus, HFRS and leptospirosis were prevalent in the autumn. There were significant correlations between the monthly numbers of cases and all the meteorological factors for malaria and V. vulnificus sepsis, but there were no correlation for the other diseases. However, the incidence of scrub typhus in hyper-endemic region during the outbreak period was positively correlated with temperature and humidity during the summer. The incidences of HFRS and leptospirosis had positive correlations with precipitation in November and temperature and humidity in February, respectively. V. vulnificus sepsis showed positive correlations with precipitation in April/May/July. Conclusions: In Korea, the incidences of the infectious diseases were correlated with meteorological factors, and this implies that the incidences could be influenced by climate change.

손목자해로 응급실에 내원한 환자수와 기후인자와의 관련성 (Meteorological Factors Associated with the Number of Emergency Room Patients with Wrist-Cutting Behavior)

  • 한재현;서승완;조규종;김정미;서홍택;정유진;성수정;황재연;이원준
    • 정신신체의학
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    • 제28권2호
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    • pp.161-167
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    • 2020
  • 연구목적 자살행동의 계절성은 잘 알려져 있는 현상이지만, 자해행동의 계절성은 알려진 바가 적다. 본 연구는 자해행동 중 하나인 손목자해행동이 계절성을 나타내는지를 확인하고, 기후인자와의 관련성을 파악하고자 했다. 방 법 자해행동의 계절성을 확인하기 위하여 2014. 12~2019. 5까지 일 병원 응급실에 손목자해행동으로 내원한 226명의 대상자의 월별 평균 내원 숫자가 월별로 차이를 나타내는지를 보았다. 손목자해행동과 기후인자와의 관련성을 확인하기 위하여 월 단위 시간변수와 기상청 데이터를 통해 획득한 월별 기후변수(기온, 일조량, 1개월 전 대기압)를 설명변수로 하고, 월 별로 손목자해행동으로 응급실에 내원한 횟수를 결과변수로 하여 일반화 가법모형을 이용한 다중 포아송 회귀분석을 실시하였다. 결 과 손목자해행동으로 응급실에 내원한 대상자의 월 평균 숫자는 남자에서 유의한 월별 차이가 있었고, 9월에 가장 많았다(남자 : p=0.048, 여자 : p=0.21, 전체 : p=0.28). 다중 회귀분석 결과 손목자해로 응급실에 내원한 월 평균 환자의 숫자는 남자에서는 1달전 대기압과 기온의 교호작용과 관련이 있었고(p=0.010), 여자에서는 일조량과 양의 상관관계[p=0.044, β=4.70×10-3, 95% CI=(1.19×10-4, 9.27×10-3)]를 보였다. 결 론 손목자해행동은 남성에서 두드러진 계절성을 보이며, 이는 기후변수의 변화와 관련성이 있다.

계절성과 온도를 고려한 일별 최대 전력 수요 예측 연구 (Electricity Demand Forecasting for Daily Peak Load with Seasonality and Temperature Effects)

  • 정상욱;김삼용
    • 응용통계연구
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    • 제27권5호
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    • pp.843-853
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    • 2014
  • 급증하고 있는 전력수요에 대한 신뢰성 있는 예측은 합리적인 전력수급계획 수립 및 운용에 있어서 매우 중대한 사안이다. 본 논문에서는 여러 시계열 모형의 비교를 통해 전력수요량과 밀접한 연관성이 있는 온도를 어떠한 형태로 고려할 것인지, 또한 4계절이 뚜렷하여 계절별 기온 차가 많이 나는 우리나라의 특성을 어떻게 고려할 것인지에 대하여 연구하였다. 모형 간 예측력을 비교하기 위하여 Mean Absolute Percentage Error(MAPE)를 사용하였다. 모형의 성능비교 결과는 냉 난방지수와 계절요인을 동시에 고려하면서 큰 변동성을 잘 고려해줄 수 있는 Reg-AR GARCH 모형이 가장 우수한 예측력을 나타냈다.