• 제목/요약/키워드: Seasonal trends

검색결과 269건 처리시간 0.023초

국내 웹 이용자의 검색 행태 추이 분석 (Trends of Search Behavior of Korean Web Users)

  • 박소연;이준호
    • 한국문헌정보학회지
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    • 제39권2호
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    • pp.147-160
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    • 2005
  • 본 연구에서는 1년이라는 장기간에 걸쳐 네이버에 입력된 검색 질의들의 표본과 각 질의에 대한 클릭 로그에 근거하여 국내 웹 이용자의 검색 행태 추이를 분석하였다. 질의의 형태에 대한 조사 결과, 계절별, 주중과 주말 요일별 질의 형태의 분포에 있어서 유의한 차이가 있는 것으로 나타났다. 또한 웹 이용자들이 입력한 질의의 주제 역시 계절별, 주중과 주말, 요일별로 변화하는 것으로 나타났다. 반면 1년 동안을 전체적으로 살펴볼 때 사이트 검색과 내용 검색의 비율 그리고 주제의 비율이 큰 변화 없이 일정한 상태를 유지하였다. 본 연구의 결과는 인터넷 검색 포탈 업체들의 효과적인 컨텐츠 구축 및 효율적인 검색 시스템 개발에 기여할 것으로 기대된다.

Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions

  • Son, Bokyung;Im, Jungho;Park, Sumin;Lee, Jaese
    • 대한원격탐사학회지
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    • 제37권4호
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    • pp.815-831
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    • 2021
  • Drought forecasting is crucial to minimize the damage to food security and water resources caused by drought. Satellite-based drought research has been conducted since 1980s, which includes drought monitoring, assessment, and prediction. Unlike numerous studies on drought monitoring and assessment for the past few decades, satellite-based drought forecasting has gained popularity in recent years. For successful drought forecasting, it is necessary to carefully identify the relationships between drought factors and drought conditions by drought type and lead time. This paper aims to provide an overview of recent research trends and challenges for satellite-based drought forecasts focusing on lead times. Based on the recent literature survey during the past decade, the satellite-based drought forecasting studies were divided into three groups by lead time (i.e., short-term, sub-seasonal, and seasonal) and reviewed with the characteristics of the predictors (i.e., drought factors) and predictands (i.e., drought indices). Then, three major challenges-difficulty in model generalization, model resolution and feature selection, and saturation of forecasting skill improvement-were discussed, which led to provide several future research directions of satellite-based drought forecasting.

S2S 멀티 모델 앙상블을 이용한 북극 해빙 면적의 예측성 (Predictability of the Arctic Sea Ice Extent from S2S Multi Model Ensemble)

  • 박진경;강현석;현유경
    • 대기
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    • 제28권1호
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    • pp.15-24
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    • 2018
  • Sea ice plays an important role in modulating surface conditions at high and mid-latitudes. It reacts rapidly to climate change, therefore, it is a good indicator for capturing these changes from the Arctic climate. While many models have been used to study the predictability of climate variables, their performance in predicting sea ice was not well assessed. This study examines the predictability of the Arctic sea ice extent from ensemble prediction systems. The analysis is focused on verification of predictability in each model compared to the observation and prediction in particular, on lead time in Sub-seasonal to Seasonal (S2S) scales. The S2S database now provides quasi-real time ensemble forecasts and hindcasts up to about 60 days from 11 centers: BoM, CMA, ECCC, ECMWF, HMCR, ISAC-CNR, JMA, KMA, Meteo France, NCEP and UKMO. For multi model comparison, only models coupled with sea ice model were selected. Predictability is quantified by the climatology, bias, trends and correlation skill score computed from hindcasts over the period 1999 to 2009. Most of models are able to reproduce characteristics of the sea ice, but they have bias with seasonal dependence and lead time. All models show decreasing sea ice extent trends with a maximum magnitude in warm season. The Arctic sea ice extent can be skillfully predicted up 6 weeks ahead in S2S scales. But trend-independent skill is small and statistically significant for lead time over 6 weeks only in summer.

위성 해색자료에서 추정한 동중국해 클로로필 선형경향의 계절별 차이 (Seasonal Difference in Linear Trends of Satellite-derived Chlorophyll-a in the East China Sea)

  • 손영백;장찬주;김상현
    • Ocean and Polar Research
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    • 제35권2호
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    • pp.147-155
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    • 2013
  • The purpose of this study is to investigate seasonal difference in linear trends in satellite-derived chlorophyll-a concentration (Chl-a) and their related environmental changes in the South Sea of Korea (SSK) and East China Sea (ECS) for recent 15 years (Jan. 1998~Dec. 2012) by analyzing climatological data of Chl-a, Rrs(555), sea surface wind (SSW) and nutrient. A linear trend analysis of Chl-a data reveals that, during recent 15 years, the spring bloom was enhanced in most of the ECS, while summer and fall blooms were weakened. The increased spring (Mar. - May) Chl-a was associated with strengthened winter (Dec. - Feb.) wind that probably provided more nutrient into the upper ocean from the deep. The causes of decreased summer (Jun. - Aug.) Chl-a in the northern ECS were uncertain, but seemed to be related with the nutrient limitation. Recently (after 2006), low-salinity Changjiang diluted water in the south of Jeju and the SSK had lower phosphate that caused increase in N/P ratio with Chl-a decrease. The decreased fall (Sep. - Nov.) Chl-a was associated with weakened wind that tends to entrain less nutrient into the upper ocean from the deep. This study suggests that phytoplankton in the ECS differently changes in response to environmental changes depending on season and region.

경향성 및 패턴 분석을 이용한 낙동강 물금지역의 수질 특성 (Characteristics of Trend and Pattern for Water Quality Monitoring Networks Data using Seasonal-kendall, SOM and RDA on the Mulgeum in the Nakdong River)

  • 안정민;이인정;정강영;김주언;이권철;천세억;류시완
    • 한국환경과학회지
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    • 제25권3호
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    • pp.361-371
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    • 2016
  • Ministry of Environment has been operating water quality monitoring network in order to obtain the basic data for the water environment policies and comprehensively understand the water quality status of public water bodies such as rivers and lakes. The observed water quality data is very important to analyze by applying statistical methods because there are seasonal fluctuations. Typically, monthly water quality data has to analyze that the transition comprise a periodicity since the change has the periodicity according to the change of seasons. In this study, trends, SOM and RDA analysis were performed at the Mulgeum station using water quality data for temperature, BOD, COD, pH, SS, T-N, T-P, Chl-a and Colon-bacterium observed from 1989 to 2013 in the Nakdong River. As a result of trends, SOM and RDA, the Mulgeum station was found that the water quality is improved, but caution is required in order to ensure safe water supply because concentrations in water quality were higher in the early spring(1~3 month) the most.

부산지역 미세먼지 최근 경향 분석 - 수도권과 비교연구 (I) (Analysis of Recent Trends of Particulate Matter Observed in Busan - Comparative Study on Busan vs. Seoul Metropolitan Area (I))

  • 김종민;조유진;양금희;허국영;김철희
    • 한국환경과학회지
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    • 제29권2호
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    • pp.177-189
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    • 2020
  • We analyzed the recent characteristics of Particulate Matter (PM) including PM10 (PM with diameter of less than 10 ㎛) and PM2.5 (PM with diameter of less than 2.5 ㎛) observed in Busan metropolitan area, and compared them with those measured in Seoul metropolitan area. This analysis includes the monthly, seasonal, and annual variations and differences, in emissions and chemical compositions observed in both Busan and Seoul areas. Synoptic meteorological conditions were investigated at the time when high PM concentrations occurred in each of the two areas. The results showed clearly decreasing trends of annual mean concentrations with strong seasonal variations: lower in summer and higher in winter in both areas. In comparison with Seoul, the seasonal variation in Busan demonstrated relatively lower, but showed greater summer fluctuations than in Seoul metropolitan area. This is implying the importance of secondary generation of PM in summer via active photochemical reaction in Busan area. In high concentration days, Busan's chemical composition of sulfate was higher than that of nitrate in summer, whereas nitrate was higher than sulfate in Seoul. The ratios of NO3- to SO42-(N/S ratio) showed lower in Busan approximately by a factor of 1/2(half of N/S ratio) in Busan compared with that in Seoul. Others such as synoptic characteristics and emission differences were also discussed in this study.

부산지역 PM10과 PM2.5농도의 시간 및 공간적 변화 특성 (Characteristics of Spacio-Temporal Variation for PM10 and PM2.5 Concentration in Busan)

  • 전병일
    • 한국환경과학회지
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    • 제19권8호
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    • pp.1013-1023
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    • 2010
  • The purpose of this study was to analyze the characteristics of spacio-temporal variation for $PM_{10}$ and $PM_{2.5}$ concentration in Busan. $PM_{10}$ concentration has been reduced for the past three year and exceeded $50\;{\mu}g/m^3$ of the national standard for $PM_{10}$. $PM_{2.5}$ concentration showed gradual decrease or stagnant trends and exceeded the U.S. EPA standard. Seasonal analysis of $PM_{10}$ and $PM_{2.5}$ suggested spring>winter>fall>summer(by Asian dust) and winter>spring>summerenlifall(by anthropogenic effect) in the order of high concentration, respectively. Characterization of diurnal variations suggests that $PM_{10}$ levels at all the three sites consistently exhibited a peak at 1000LST and $PM_{2.5}$ at Jangrimdong experienced the typical $PM_{2.5}$ diurnal trends such that a peak was observed in the morning and the lowest level at 1400LST. In the case of seasonal trends, the $PM_{2.5}/PM_{10}$ ratio was in the order of summer>winter>fall>spring at all the study sites, with a note that spring bears the lowest concentration. During AD events, $PM_{10}$ concentration exhibited the highest level at Jangrimdong and the lowest level at Joadong. And $PM_{2.5}/PM_{10}$ ratio in AD was 0.16~0.28.

사회연결망 분석을 활용한 패션 트렌드 고찰 (Exploring Fashion Trends Using Network Analysis)

  • 박지수;이유리
    • 한국의류학회지
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    • 제38권5호
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    • pp.611-626
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    • 2014
  • Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

한국형 부영양화 지수를 이용한 저수지 수질평가 (Water Quality Assessment for Reservoirs using the Korean Trophic State Index)

  • 김응석;심규범;김상단;최현일
    • 한국물환경학회지
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    • 제28권1호
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    • pp.78-83
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    • 2012
  • Man-made reservoirs over 95% in Korea are shallower than 10 meters in depth, which is apt to cause eutrophication. This study has characterized long-term trends in water quality factors for the selected six reservoir points in the Kum River watersheds, and then estimated the seasonal trophic state index for each reservoir. The reservoir trophic state was evaluated at four trophic levels using the Korean trophic state index, TSIKO. It is observed from seasonal results for six reservoirs that the highest value of the trophic state index is estimated in summer while the trophic state index value is low in spring and winter seasons. Especially, the Boryeong Lake has a relatively lower trophic state index since this reservoir has been managed properly for water withdrawal and irrigation. It is expected that the seasonal trophic state index resulted from this study can contribute toward long-term water quality improvement plans for reservoirs.

소나무숲의 거미군집의 Guild 구조 및 계절적 변동 (Guild Structure and Seasonal Occurrences of Spider Communities in Pine Plantation Habitat)

  • Lee, Goen-Hyoung;Lee, Hai-Poong
    • The Korean Journal of Ecology
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    • 제13권2호
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    • pp.149-163
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    • 1990
  • Two distinct spider communities were studied in the crowns and ground surfaces of pine plantations at Mt. Ungilsan, Kyonggi-do using pitfall traps and knock-down by spraying of an insecticide (D.D.V.P.) to sample spiders. There were 34 species of 11 families in the ground community and 41 species of 15 families in the crown community, with only 9 species being collected in both. Wandering spiders comprised 78.5% of the crown community and 90.8% of the ground community. Guild abundance and the most abundant families were distinctly different in the two habitats: agile hunters (Salticidae:32.4%) and nocturnal hunters (Clubionidae:19%) in the crown, runners (Lycocidae:32.8%) and nocturnal hunters (Gnaphosidae:31.2%) in the ground. Dominant species were Clubiona jucunda (Karsch) and Mymarachne japonica (Karsch) in the crown, while in the ground they were Pardosa laura Karsch and Gnaphosa silvicola. Species diversity(H ) had peaks in May, July and November in the ground community, while in the crown community peaks were in June and September. The seasonal trends of species diversity (H ) were due mainly to differences in the number of species and the numbers of individuals collected at each sample date rather than to differences in equitability among species. Spier guilds and dominant species have different seasonal patterns based on the temporal differences in prey availability in the two communities and the reduction of temporal overlap.

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