• Title/Summary/Keyword: 연속된 기간별 통계 분석

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부산항 PORT-MIS에 따른 해상교통조사 기간 검토

  • Yu, Yong-Ung;Lee, Yun-Seok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.05a
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    • pp.178-180
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    • 2018
  • 해상교통조사는 국내 해상교통안전진단 및 선박 통항과 관련한 안전성 평가에 혼잡도 평가 등 중요한 역할응 한다. 이 연구에서는 해상교통조사 기간에 대한 통계학적 검토를 통한 통계적 적정성과 선박 통항의 특성을 반영하여 부산항 북항의 PORT-MIS를 바탕으로 항만의 입출항 선박 통계를 바탕으로 일별, 월별, 특정 기간에 대하여 분석하고 현재 해상교통안전 진단 등에 규정된 해상교통안전기간에 대한 통계적 검토를 시행하였다. 월별 검토 결과 부산항은 12월에 0.88로 가장 적은 수의 선박이 입출항 하였고 8월에 1.13으로 가장 많은 수의 선박이 입출항 하였으며 약 22%많았다. 요일별로는 일요일에 가장 작은 수의 선박이 입출항 하였으며 관측 시기에 따라 3일에는 약 30%이내에 오차가 발생하였으며 7일에는 20%이내의 오차가 발생하였다.

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Drought Risk Analysis Considering Bivariate Drought Regional Frequency Analysis (이변량 가뭄지역빈도해석에 따른 가뭄위험분석)

  • Yoo, Ji-Young;Park, Jong-Yong;Kwon, Hyun-Han;Kim, Tae-Woong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.52-52
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    • 2011
  • 최근 지구온난화가 가속화되면서 전 세계적으로 기상재해가 급증하고 있다. 특히 강우패턴의 변화를 고려한 강수 전망 연구결과는 온실가스 농도 증가로 호우나 가뭄, 대설 등이 지역에 따라 서로 상반되는 변화를 가져올 가능성이 있으며, 우리나라의 경우도 극한강수의 발생빈도가 1990년대 후반 이래로 뚜렷하게 증가하는 경향을 보이고 있다. 현재 우리나라에서도 이러한 기후변화에 대비하기 위해 여러 가지 가뭄연구를 수행하고 있는 실정이다. 일반적으로 가뭄의 해석에는 그 목적에 따라 여러 가지 지표를 이용하여 가뭄을 정의하며, 그 중 강수 및 하천유량 등은 기상 및 수문학적 가뭄을 판단하기 위한 지표로 널리 사용되고 있다. 특히 강수의 부족은 가뭄의 주된 요인이라 할 수 있으며, 가뭄의 정량적 평가에 효과적으로 이용될 수 있다. 즉 평균수준(혹은 절단수준)을 설정하고 가뭄의 지속기간, 심도, 발생빈도 등을 정의한 후, 이를 시계열 분석하여 가뭄의 특성을 분석하는 것이다. 또한 가뭄은 지속기간과 심도를 주요 특성변수를 가지는 이변량 수문사상이므로, 이를 반영한 확률 및 통계학적 해석방법의 적용이 반드시 필요하다. 그러므로 본 연구에서는 우리나라의 가뭄특성을 가뭄지속기간과 심도의 이변량을 동시에 고려하여 지점별 가뭄빈도해석을 수행하였으며, 지역별 가뭄발생특성을 고려하여, 강우관측지점별 과거에 발생한 최대가 뭄사상에 대한 가뭄위험도를 계산하였다. 그 결과, 우리나라 지점별 미래에 연속되는 10, 50, 100, 150년에 따라 과거의 최대가뭄이 발생할 확률을 지도로 도시하여 지역적 가뭄위험도를 분석하여 가뭄위험지역을 예상하였다. 이는 우리나라 내 가뭄취약지역의 우선순위를 결정하고, 실제로 국가적인 차원에서의 장기적인 가뭄관리를 하는 데 있어, 가뭄취약지역별 차별성 있는 가뭄대응방안을 마련하는 데 있어서도 하나의 객관적 근거로 활용될 수 있을 것으로 판단된다.

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A study on the Effect of Cash flow on the Investment Behavior (현금흐름이 투자행위에 미치는 영향에 관한 연구)

  • Chun, Yong-Soo;Im, Tae-Sun
    • The Korean Journal of Financial Management
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    • v.17 no.2
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    • pp.29-47
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    • 2000
  • 본 연구는 재벌집단의 기업과 비재벌기업으로 분류하여 이들 집단사이에 나타나는 투자행위의 차이점을 유동성제약의 틀 속에서 실증 분석한 것이다. 연구의 기간은 1986년부터 1995년도까지 10년으로 하고 연구의 대상은 연구 기간동안 연속적으로 증권거래소에 상장된 기업으로 한정하여 총 128개의 업체를 표본으로 이용하였다. 표본을 재벌규모별, 장세별, 산업별 분류에 의한 횡단면 분석결과 우리나라 비재벌기업의 경우, 전반적으로 재벌집단의 기업에 비하여 현금흐름이 투자에 대해 보다 더 민감할 것이란 충분한 근거를 얻지 못하였다. 그러나 재별의 범주를 5대재벌기업으로 한정하였을 때는 재벌기업에 비해 비재벌기업들의 투자는 현금흐름에 대하여 민감하다는 결론을 얻어 재벌기업에 비하여 비재벌기업은 정보문제나 유인문제에 직면 할 수 있음을 시사하였다. 규모에 따른 재벌기업의 분석에서는 상대적으로 규모가 작은 재벌의 기업이 규모가 큰 재벌의 기업보다 유동성이 제약되고 있음을 나타냈으며, 장세별 분석에서는 단지 주가의 상승기에 한하여 재벌집단 기업간의 비교에서 현금흐름은 30대재벌, 10대재벌, 5대재벌의 순서로 민감함을 보여 규모가 작은 집단의 재벌기업이 규모가 큰 집단의 재벌기업에 비하여 유동성이 제약됨을 나타내었다. 산업별 분류에 의한 분석에서는 통계학적으로 의미 있는 결과를 얻지 못하였다.

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Comparison of log-logistic and generalized extreme value distributions for predicted return level of earthquake (지진 재현수준 예측에 대한 로그-로지스틱 분포와 일반화 극단값 분포의 비교)

  • Ko, Nak Gyeong;Ha, Il Do;Jang, Dae Heung
    • The Korean Journal of Applied Statistics
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    • v.33 no.1
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    • pp.107-114
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    • 2020
  • Extreme value distributions have often been used for the analysis (e.g., prediction of return level) of data which are observed from natural disaster. By the extreme value theory, the block maxima asymptotically follow the generalized extreme value distribution as sample size increases; however, this may not hold in a small sample case. For solving this problem, this paper proposes the use of a log-logistic (LLG) distribution whose validity is evaluated through goodness-of-fit test and model selection. The proposed method is illustrated with data from annual maximum earthquake magnitudes of China. Here, we present the predicted return level and confidence interval according to each return period using LLG distribution.

Restoration, Prediction and Noise Analysis of Geomagnetic Time-series Data (시계열 지자기 측정 자료의 복원, 예측 및 잡음 분석 연구)

  • Ji, Yoon-Soo;Oh, Seok-Hoon;Suh, Baek-Soo;Lee, Duk-Kee
    • Journal of the Korean earth science society
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    • v.32 no.6
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    • pp.613-628
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    • 2011
  • Restoration, prediction and noise analysis of geomagnetic data measured in the Korean Peninsula were performed. Restoration methods based on an optimized principal component analysis (PCA) and the geostatistical kriging approach were proposed, and its effectiveness was also interpreted. The PCA-based method seemed to be effective to restore the periodical signals and the geostatistical approach was stable to fill the gaps of measurements. To analyze the noise level for each observatory, the geomagnetic time-series was plotted by scattergram which reflects the spatial variation, using data observed during same period. The scattergram showed that the observation made at Cheongyang seemed to have better quality in spatial continuity and stability, and the restoration result was also better than that of Icheon site. For the restoration, both of the methods, geostatistical and optimizaed PCA, showed stable result when the missing of observation was within 20 points. However, in case of more missing observations than 20 points and prediction problem, the optimized PCA seemed to be closer to the real observation considering the frequency-domain characteristics. The prediction using the optimized PCA seems to be plausible for one day of period for interpretation.

Continuity Simulation and Trend Analysis of Water Qualities in Incoming Flows to Lake Paldang by Log Linear Models (로그선형모델을 이용한 팔당호 유입지류 수질의 연속성 시뮬레이션과 경향 분석)

  • Na, Eun-Hye;Park, Seok-Soon
    • Korean Journal of Ecology and Environment
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    • v.36 no.3 s.104
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    • pp.336-343
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    • 2003
  • Two types of statistical models, simple and multivariate log linear models, were studied for continuity simulation and trend analysis of water qualities in incoming flows to Lake Paldang. Water quality is a function of one independent variable (flow) in the simple log linear model, and of three different variables (flow, time, and seasonal cycle) in multivariate model. The independent variables act as surrogate variables of water quality in both models. The model coefficients were determined by the monthly data. The water qualities included 5-day Biochemical Oxygen Demand ($BOD_5$), Total Nitrogen (TN), and Total Phosphorus (TP) measured from 1995 to 2000 in the South and the North branches of Han River and the Kyoungan Stream. The results indicated that the multivariate model provided better agreements with field measurements than the simple one in a31 attempted cases. Flow dependency, seasonality, and temporal trends of water quality were tested on the determined coefficients of the multivariate model. The test of flow dependency indicated that BOD concentrations decreased as the water flow increased. In TN and TP concentrations, however, there were no discernible flow effects. From the temporal trend analyses, the following results were obtained: 1) no trends on BOD at all three upstreams, 2) increase on TN at the South Branch and the Kyoungan Stream, 3)decrease on TN at the North Branch,4) no trends on TP at the North and the South Branches and 5) increase on TP at the Kyoungan Stream by 3 to 8% per years. The seasonality test showed that there were significant seasonal variations in all three water qualities at three incoming flows.

The Grazing Rates and Community Dynamics of Zooplankton in the Continuous River Stretch Ecosystem Include with Brackish Zone (기수 지역을 포함한 연속적인 강 구획 생태계 내에서의 동물플랑크톤의 군집 동태와 섭식율)

  • Kim, Hyun-Woo
    • Korean Journal of Ecology and Environment
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    • v.39 no.4 s.118
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    • pp.462-470
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    • 2006
  • The zooplankton community dynamics and grazing experiments was evaluated along a 40 km section of the lower Seomjin river system. Zooplankton was sampled twice a month from January 2005 to June 2006 at three sites (River mouth; RKO, Seomjin bridge: RK12 and Gurae bridge: RK36) in the main river channel. During the study period, the values of most limnological parameters in the three sites were fairly similar, except for conductivity. Annual variation of conductivity in River mouth and Seomjin bridge was more dramatic than which of the other site. There were statistically significant spatial and seasonal differences in zooplankton abundance (ANOVA, P<0.01). Total abundance of major zooplankton groups at both stations was much higher than in Gurae bridge. Among the macrozooplankton, cladocerans abundance was negligible in study sites during study periods. Community filtering rates (CFRs) for phytoplankton and bacteria varied from 0 to 50 mL $L^{-1}\;D^{-1}$ and from 0 to 45 mL $L^{-1}\;D^{-1}$, respectively. The spatial variation of CFRs for phytoplankton was significant (ANOVA, P<0.05). The CFRs of copepods for phytoplankton and bacteria was much higher than that of cladocerans at study sites. Total zooplankton filtering rates on bacteria were slightly lower than filtering rates on phytoplankton. The CFRs of microzooplankton (MICZ) for bacteria were much higher than for macrozooplankton (MACZ) at all sites. Considering the total zooplankton community, MICZ generally were more important than MACZ as grazers of bacteria and phytoplankton in freshwater zone, while MACZ were more important than MICZ as grazers of phytoplankton in brackish zone.

The Effect of Interpregnancy Interval on Birth Weight (임신간격이 신생아체중에 미치는 영향)

  • Lee, Kwang-Yeul;SaKong, Jun;Kim, Seok-Beom;Kim, Chang-Yoon;Kang, Pock-Soo;Chung, Jong-Hak
    • Journal of Yeungnam Medical Science
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    • v.6 no.2
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    • pp.173-181
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    • 1989
  • The effect of interpregnancy interval on birthweight of the subsequent child was investigated for the 1,347 womens of 25 to 40 years old age who visited OBGY and Pediatric department of the general hospital in Taegu city. Questions in designed questionnaire were asked by student interviewers who were trained in nursing school. Mean birth weight by interpregnancy intervals were compared by the intervals of 6 months. Mean birth weight increased from 3,250 grams for intervals of 6 months to 3,357 grams for intervals of 25-30 months, hut the difference was not statistically significant(=0.47). Correlations between the continuous variables which were suspected as con founders and interpregnancy interval and birth weight were investigated. The coefficient of correlation between maternal age and interpregnancy interval was 0.39, between gestational period and birth weight 0.30 and between prepregnant weight and birth weight 0.16 and between birth weight of first baby and birth weight(of second baby) 0.44. But maternal age, gestational period and prepregnant weight were not considered as confounder, because they were not correlated simultaneously with birth interval and birth weight. Associations between the discrete variables which were suspected as confounders, and interpregnancy interval were investigated by Chi-square test. Associations between interpregnancy interval and educational level of mothers, types of husband's occupation, types of medical security, sex were not significant(P-values were 0.59, 0.75, 0.75, 0.82 respectively), so we did not considered these variables as confounding variables. In multiple regression analysis of birth weight, significant variables were birth weight of first baby, gestational period, sex of neonate and prepregnancy body weight of mother. Of the 1,347 births, the rate of low birth weight was 2% (27 birth). The rate for interpregnancy interval 7-12 months was highest as 3.6% and that for 13-18 months was lowest as 0.6%, but there was no regular tendency related with interpregnancy interval.

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Evaluation of bias and uncertainty in snow depth reanalysis data over South Korea (한반도 적설심 재분석자료의 오차 및 불확실성 평가)

  • Jeon, Hyunho;Lee, Seulchan;Lee, Yangwon;Kim, Jinsoo;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.56 no.9
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    • pp.543-551
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    • 2023
  • Snow is an essential climate factor that affects the climate system and surface energy balance, and it also has a crucial role in water balance by providing solid water stored during the winter for spring runoff and groundwater recharge. In this study, statistical analysis of Local Data Assimilation and Prediction System (LDAPS), Modern.-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), and ERA5-Land snow depth data were used to evaluate the applicability in South Korea. The statistical analysis between the Automated Synoptic Observing System (ASOS) ground observation data provided by the Korea Meteorological Administration (KMA) and the reanalysis data showed that LDAPS and ERA5-Land were highly correlated with a correlation coefficient of more than 0.69, but LDAPS showed a large error with an RMSE of 0.79 m. In the case of MERRA-2, the correlation coefficient was lower at 0.17 because the constant value was estimated continuously for some periods, which did not adequately simulate the increase and decrease trend between data. The statistical analysis of LDAPS and ASOS showed high and low performance in the nearby Gangwon Province, where the average snowfall is relatively high, and in the southern region, where the average snowfall is low, respectively. Finally, the error variance between the four independent snow depth data used in this study was calculated through triple collocation (TC), and a merged snow depth data was produced through weighting factors. The reanalyzed data showed the highest error variance in the order of LDAPS, MERRA-2, and ERA5-Land, and LDAPS was given a lower weighting factor due to its higher error variance. In addition, the spatial distribution of ERA5-Land snow depth data showed less variability, so the TC-merged snow depth data showed a similar spatial distribution to MERRA-2, which has a low spatial resolution. Considering the correlation, error, and uncertainty of the data, the ERA5-Land data is suitable for snow-related analysis in South Korea. In addition, it is expected that LDAPS data, which is highly correlated with other data but tends to be overestimated, can be actively utilized for high-resolution representation of regional and climatic diversity if appropriate corrections are performed.

Development and Assessment Individual Maximum Permissible Dose Method of I-131 Therapy in High Risk Patients with Differentiated Papillary Thyroid Cancer (물리학 선량법을 이용한 갑상선암의 개인별 최대안전용량 I-131 치료법 개발과 유용성 평가)

  • Kim, Jeong-Chul;Yoon, Jung-Han;Bom, Hee-Seung;JaeGal, Young-Jong;Song, Ho-Chun;Min, Jung-Joon;Jeong, Heong;Kim, Seong-Min;Heo, Young-Jun;Li, Ming-Hao;Park, Young-Kyu;Chung, June-Key
    • The Korean Journal of Nuclear Medicine
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    • v.37 no.2
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    • pp.110-119
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    • 2003
  • Purpose: Radioiodine (I-131) therapy is an effective modality to reduce both recurrence and mortality rates in differentiated thyroid cancer. Whether higher doses shows higher therapeutic responses was still debatable. The purpose of this study was to validate curve-fitting (CF) method measuring maximum permissible dose (MPD) by a biological dosimetry using metaphase analysis of peripheral blood lymphocytes. Materials and Methods: Therapeutic effects of MPD was evaluated in 58 patients (49 females and 9 males, mean age $50{\pm}11$ years) of papillary thyroid cancer. Among them 43 patients were treated with ${\Leq}7.4GBq$, while 15 patients with ${\geq}9.25GBq$. The former was defined as low-dose group, and the latter high-dose group. Therapeutic response was defined as complete response when complete disappearance of lesions on follow-up I-131 scan and undetectable serum thyroglobulin levels were found. Statistical comparison between groups were done using chi-square test. P value less than 0.05 was regarded as statistically significant. Results: MPD measured by CF method using tracer and therapeutic doses were $13.3{\pm}1.9\;and\;13.8{\pm}2.1GBq$, respectively (p=0.20). They showed a significant correlation (r=0.8, p<0.0001). Exposed doses to blood measured by CF and biological methods were $1.54{\pm}0.03\;and\;1.78{\pm}0.03Gy$ (p=0.01). They also showed a significant correlation (r=0.86, p=0.01). High-dose group showed a significantly higher rate of complete response (12/15, 80%) as compared to the low-dose group (22/43, 51.2%) (p=0.05). While occurrence of side effects was not different between two groups (40% vs. 30.2%, p=0.46). Conclusion: Measurement of MPD using CF method is reliable, and the high-dose I-131 therapy using MPD gains significantly higher therapeutic effects as compared with low-dose therapy.