• 제목/요약/키워드: Seasonal trends

검색결과 271건 처리시간 0.023초

계절 Mann-Kendall 검정을 이용한 낙동강 유역의 월별 수질 장기 경향성 분석 (Trend Analysis of Monthly Water Quality Data in Nakdong River Based on Seasonal Mann-Kendall Test)

  • 윤정혜;황세운;김동현;김상민
    • 한국농공학회논문집
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    • 제57권6호
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    • pp.153-162
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    • 2015
  • In this study, we analyzed the trends of water quality along the main stream in Nakdong river basin using the recent data and seasonal Mann-Kendall test. Monthly averaged values of DO, BOD, SS, COD, TN, and TP from 1989 to 2014 for 14 stations (including 2 TMDLs stations) were used in the study. The trend analysis results showed that BOD and TP at most stations has decreasing temporal trend except a few stations while COD and SS showed increasing trend at most stations. Temporal trends in TN at 8 stations were found to be statistically significant and 5 of them showed increasing temporal trend. Temporally averaged BOD, COD, TN and TP were generally increasing as going downstream and the worst water quality were found at Goryeong and Hyunpung station. Overall, water quality of Nakdong river especially in COD, SS, and TN getting worse in time at most stations and as going downstream.

Simultaneous Unit Roots Tests for Both Regular and Seasonal Unit Roots

  • Sinsup Cho;Jeong Hyeong Lee;Young Jin Park;Heon Jin Park
    • Communications for Statistical Applications and Methods
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    • 제4권3호
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    • pp.663-676
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    • 1997
  • We obtain the simultaneous unit roots test statistics for both regular and seasonal unit roots in a time series with possible seasonal deterministic trends. The limiting distributions of the proposed test statistics are derived and empirical percentiles of the test statistics are tabulated for some seasonal periods. The power and size of the test statistics are examined for finite samples through a Monte Carlo simulation and Compared with those of the Lagrange multiplier test.

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비모수 통계기법을 이용한 만경강 유역의 장기간 수질 경향 분석 (Long-Term Trend Analyses of Water Qualities in Mangyung Watershed)

  • 이혜원;박석순
    • 한국물환경학회지
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    • 제24권4호
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    • pp.480-487
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    • 2008
  • Spatial and temporal analyses of water qualities were performed for 11 monitoring stations located in Mangyung watershed in order to analyze the trends of monthly water quality data of Biochemical Oxygen Demand (BOD), Total Nitrogen (TN) and Total Phosphorus (TP) measured from 1995 to 2004. The long-term trends were analyzed utilizing Seasonal Mann-Kendall test, LOWESS and three-dimensional graphs were constructed with respect to distance and time. The graph can visualize spatial and temporal trend of the long-term water quality in a large river system. The results of trend analysis indicated that water quality of BOD and TN showed the downward trend. This quantitive and quantitative analysis is the useful tool to analyze and display the long-term trend of water quality in a large river system.

갈수기 경향성 분석을 활용한 상류 유역의 가뭄위험 변동성 분석 (Analysis of Drought Risk in the Upper River Basins based on Trend Analysis Results)

  • 정일원;김동영;박지연
    • 한국농공학회논문집
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    • 제61권1호
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    • pp.21-29
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    • 2019
  • This study analyzed the variability of drought risk based on trend analysis of dry-seasonal dam inflow located in upper river basins. To this, we used areal averaged precipitation and dam inflow of three upper river dams such as Soyang dam, Chungju dam, and Andong dam. We employed Mann-Kendall trend analysis and change point detection method to identify the significant trends and changing point in time series. Our results showed that significant decreasing trends (95% confidence interval) in dry-seasonal runoff rates (= dam inflow/precipitation) in three-dam basins. We investigated potential causes of decreasing runoff rates trends using changes in potential evapotranspiration (PET) and precipitation indices. However, there were no clear relation among changes in runoff rates, PET, and precipitation indices. Runoff rate reduction in the three dams may increase the risk of dam operational management and long-term water resource planning. Therefore, it will be necessary to perform a multilateral analysis to better understand decreasing runoff rates.

소셜 빅데이터를 이용한 낙태의 경향성과 정책적 예방전략 (Induced Abortion Trends and Prevention Strategy Using Social Big-Data)

  • 박명배;채성현;임진섭;김춘배
    • 보건행정학회지
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    • 제27권3호
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    • pp.241-246
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    • 2017
  • Background: The purpose of this study is to investigate the trends on the induced abortion in Korea using social big-data and confirm whether there was time series trends and seasonal characteristics in induced abortion. Methods: From October 1, 2007 to October 24, 2016, we used Naver's data lab query, and the search word was 'induced abortion' in Korean. The average trend of each year was analyzed and the seasonality was analyzed using the cosinor model. Results: There was no significant changes in search volume of abortion during that period. Monthly search volume was the highest in May followed by the order of June and April. On the other hand, the lowest month was December followed by the order of January, and September. The cosinor analysis showed statistically significant seasonal variations (amplitude, 4.46; confidence interval, 1.46-7.47; p< 0.0036). The search volume for induced abortion gradually increased to the lowest point at the end of November and was the highest at the end of May and declined again from June. Conclusion: There has been no significant changes in induced abortion for the past nine years, and seasonal changes in induced abortion have been identified. Therefore, considering the seasonality of the intervention program for the prevention of induced abortion, it will be effective to concentrate on the induced abortion from March to May.

우리나라에서 계절별 일교차의 분포 특성과 그 원인 (Characteristics of Seasonal Mean Diurnal Temperature Range and Their Causes over South Korea)

  • 서명석;홍성근;강전호
    • 대기
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    • 제19권2호
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    • pp.155-168
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    • 2009
  • Characteristics of seasonal mean diurnal temperature range (DTR) and their causes over South Korea are investigated using the 60 stations data of Korea Meteorological Administration from 1976 to 2005. In general, the seasonal mean DTR is greatest during spring (in inland area) and least during summer (urban and coastal area). The spatial and seasonal variations of DTR are closely linked with the land surface conditions (especially vegetation activity and soil moisture) and atmospheric conditions (cloud amount, precipitation, local circulation). The seasonal mean DTR shows a decreasing trend at the major urban areas and at the north-eastern part of South Korea. Whereas, it shows an increasing trend at the central area of the southern part. Decreasing and increasing trends of DTR are more significant during summer and fall, and during spring and winter. The decrease (increase) of DTR is mainly caused by the stronger increase of daily minimum (maximum) temperature than daily maximum (minimum) temperature. The negative effects of precipitation and cloud amount on the DTR are greater during spring and at the inland area than during winter and at the coastal area. And the effect of daytime precipitation on the DTR is greater than that of nighttime precipitation.

우리나라 근해의 장기적인 해수면변화 (Long-Period Sea Level Variations around Korea, Japan, and Russia)

  • 방익찬;오임상
    • 한국수산과학회지
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    • 제27권6호
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    • pp.733-753
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    • 1994
  • 해수면의 장주기변동을 알기 위하여 우리나라, 일본, 러시아의 103개 조위관측점의 월평균 해수면을 분석하였다. 기압보정에는 조위관측점 부근의 기상관측점에서 관측된 월평균 해수면기압을 사용하였다. 계절변화는 대부분의 해역에서 지배적이며, 대마해류역 해안에서 가장 크고 러시아 해안에서 가장 작다. 계절변화의 상호상관관계는 대마해류역 해안 사이에서 가장 크다. 이 부속해에서는 계절변화가 대마해류와 관계를 갖고 있는 것으로 보인다. 계절변화는 남쪽에서 북쪽 뿐만 아니라 서쪽에서 동쪽으로도 전파되고 있다. 반면에, 계절변화보다 장주기의 변화는 태평양 연안에서 가장 큰 진폭과 가장 빠른 위상을 보여, 장주기의 변화는 태평양에서 부터 전파되어 오는 것을 보여준다. 계절변화보다 짧은 주기의 변화는 일반적으로 상관관계가 낮다. 이들의 상관관계 값들은 해역사이에 특별한 차이를 보이지 않으며, 거리에 반비례하는 공통적인 경향을 보이고 있다. 이것은 짧은 주기의 파들이 전해역에 걸쳐 발생하여 모든 방향으로 전파되고 있으며 빨리 소멸한다는 것을 의미한다. 1965부터 1985년 동안 이 해역에서 해수면변화의 경향은 일반적으로 태평양연안에서 음의 기울기를 다른 해역이 양의 기울기를 갖는다. 이러한 경향으로 인해 제주와 Sasebo사이의 평균 해수수송량은 이 기간동안 약 1 Sv의 유량이 줄어들 수 있다. 해수면 차이로부터 계산한 수송량의 계절변화는 대한해협에서 2 Sv 정도로 이미 발표된 다른 연구 보고와 비슷하다.

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우리나라 사계절 개시일과 지속기간 (Seasonal Onset and Duration in South Korea)

  • 최광용;권원태
    • 대한지리학회지
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    • 제41권4호
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    • pp.435-456
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    • 2006
  • 본 연구에서는 일기온 자료를 바탕으로 사계절을 정의하여 지난 32년(1973-2004)동안 우리나라 장기간 평균적인 사계절의 개시일과 지속기간의 공간적 분포패턴 및 최근의 그 변화추세를 분석하였다. 공간적으로, 장기간 평균적인 봄철과 겨울철 개시일은 위도 및 해발고도의 영향을 받아 남-북(성산포-대관령)으로 각각 최고 44일과 63일의 차이를 보인다. 반면, 여름철 개시일은 위도보다는 해양과 해발고도의 영향을 받아 한반도 내륙지역에서 여름철이 제주도보다 일찍 시작된다. 사계절 지속기간에 따라 긴 계절부터 짧은 계절 순으로의 조합의 공간적 패턴을 살펴보면, 우리나라에는 특징적으로 5개의 계절주기 기후유형이 군집되어 나타난다. 한편, 최근 한반도에 나타난 기후변화가 계절주기에도 반영되어, 1980년대 후반 이후에 우리나라의 전체적으로 겨울철 개시일은 4일 늦어지고, 봄철 개시일은 6일 빨라져서 겨울철 길이가 10일 정도 짧아졌다. 이러한 겨울철 축소현상은 1980년 중반이후 남부지방에서 시작되어 1990년 접어들면서 북쪽으로 확대되어 한반도 전역에 걸쳐 나타났다. 인위적으로 콘크리트화가 진행된 우리나라 대도시 지역에서는 이러한 겨울철 축소현상이 더 뚜렷하게 나타났고, 심지어 여름철 지속기간도 국지적으로 증가하는 특징을 보였다. 이러한 한반도의 겨울철 축소현상은 추운계절 동반구 극지방($0-90^{\circ}E$, $65-85^{\circ}N$)의 지오포텐셜 고도장(925hPa) 변화와 원격상관이 있는 것으로 나타났다. 본 연구에서 밝혀진 우리나라 겨울철 지속기간의 감소현상은 최근 전 세계적인 기후변화의 시그널로 나타나는 겨울철 기온상승 추세와 일치하는 결과이다.

대기중 휘발성유기화합물의 시간적 농도 변화에 대한 연구 (The Temporal Distribution Characteristics of Some Important VOC Species from a Nonurban Site in Naju)

  • 김조천;김기현
    • 한국환경과학회지
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    • 제9권6호
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    • pp.483-488
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    • 2000
  • In this study, the distribution characteristics of volatile organic compounds (VOCs) were investigated on the seasonal basis across spring, summer, and fall during the year of 1998. According to this analysis, most VOC species investigated exhibited strong temporal trends. Over diurnal scale, there distribution characteristics were affected by seasonal factors strongly. While they showed high day/night ratio pattern during spring, the pattern was reversed during fall. When the seasonal mean values were compared between the two seasons, the spring values were systematically higher than their counterparts in most cases. In addition when our VOC measurement date were compared with those reported from elsewhere, we were able to conclude that the VOC levels in the study area are comparable to the level weakly impacted by the regional emissions of VOCs. Although our data are not sufficient enough to systematically explain the atmospheric distribution and behavior of VOCs, the findings of strong correlations among some of VOC species suggests strong need for investigating their interactions in the earth\`s atmosphere.

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Testing of Stochastic Trends, Seasonal and Cyclical Components in Macroeconomil Time Series

  • Gil-Alana Luis A.
    • Communications for Statistical Applications and Methods
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    • 제12권1호
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    • pp.101-115
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    • 2005
  • We propose in this article a procedure for testing unit and fractional orders of integration, with the roots simultaneously occurring in the trend, the seasonal and the cyclical component of the time series. The tests have standard null and local limit distributions. However, finite sample critical values are computed, and several Monte Carlo experiments conducted across the paper show that the rejection frequencies against unit (and fractional) orders of integration are relatively high in all cases. The tests are applied to the UK consumption and income series, the results showing the importance of the roots corresponding to the trend and the seasonal components and, though the unit roots are found to be fairly suitable models, we show that fractional processes (including one for the cyclical component) may also be plausible alternatives in some cases.