• 한국수자원학회논문집
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• 제47권1호
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• pp.71-82
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• 2014

본 연구에서는 기후변화에 따른 미래 기후, 수문정보로부터 가뭄전망 정보를 생산 및 분석하고자 한다. 미래의 불확실성을 고려하기위해 3개 GCMs와 3개 수문모형을 이용하였다. 강수량, 유출량 및 토양수분량으로부터 기상학적, 수문학적 및 농업적 가뭄지수로 분류되는 SPI, SRI 및 SSI를 산정하였다. Mann-Kendall test 결과, 미래 가뭄의 경향은 봄철 및 겨울철에 크게 증가할 것으로 전망되었으며, 가뭄발생빈도의 경우 SRI 및 SSI가 SPI 보다 더 높게 나타났다. 미래 기후변화가 기상학적 가뭄 보다는 수문학적 및 농업적 가뭄에 큰 영향을 미치는 것으로 확인되었다.

• 보건행정학회지
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• 제33권2호
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• pp.203-213
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• 2023

This study examined the trend of healthcare status and compared the status of South Korea and other member of the Organization for Economic Cooperation and Development (OECD) using the OECD health statistics 2022. We used the OECD health statistics from 2022 and a position value for relative comparison (PARC) index to compare the five elements of the healthcare system. The study also used a Mann-Kendall test to analyze the trend of the PARC values from 2000 to the present year. The findings of the study indicate that many South Korea's PARC values were higher than the OECD median. But practicing physician in supply part and medical cost were lower than OECD median but the trend significantly increased. Medical accessibility part and quality of care part except primary care, and mental health had a high relative position but the trend did not increased significantly. After outbreak of coronavirus disease 2019, there were changes in medical accessibility. Health screening and vaccinations showed an overall decline in 2020 compared to 2019. These results suggest that policymakers need to take necessary steps for a sustainable healthcare system in the country.

• 대한토목학회논문집
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• 제28권1B호
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• pp.55-64
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• 2008

기후변화에 대한 명백한 증거가 전 세계적으로 관찰되고 있음에도 불구하고 현재 사용 중인 홍수 빈도분석 방법은 이러한 기후변화나 장기변동성을 고려할 요소를 갖추지 못하고 있다. 본 연구에서는 관측된 연최대 일강우량과 일유출량 시계열을 대상으로 추세분석을 실시하여 전 지구적으로 나타난 기온상승과 같은 증가추세가 존재하는지 linear regression과 Mann-Kendall 기법을 이용하여 살펴보았으며, 나아가 기후의 변동성으로 인해 발생할 수 있는 홍수량의 증가추세를 반영한 빈도분석 방안을 제시하였다. 5개 대상지점(서울, 인천, 울릉도, 전주, 강릉)의 연최대 일강우량 모두 시간에 따른 증가추세를 일관되게 보이고 있었으나, 통계적인 유의성이 검증되지는 않았다. 홍수량도 3개의 대상지점(안동댐, 소양강댐, 대청댐) 모두에서 시간에 따른 증가추세가 관찰되었으나, 안동댐의 상향추세만이 통계적인 유의성을 내포하였다. 선형추세를 가진 홍수량의 빈도분석 및 위험도를 추정할 수 있는 대수정규 추세모형(log-normal trend model)을 소개하고, 안동댐과 소양강댐의 홍수 빈도분석을 위해 적용하였다. 적용결과 대수정규 추세모형의 2005년 50년 빈도 홍수량은 안동댐과 소양강댐 모두 대수정규 모형보다 각각 41%와 21% 증가하였으며, 목표연도가 증가함에 따라 추정되는 홍수량 역시 함께 증가함을 확인하였다.

• 한국해안·해양공학회논문집
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• 제28권1호
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• pp.34-43
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• 2016

국내의 연안은 지속적 발전으로 해수면 상승(sea level rise, SLR)으로 인한 연안재해 취약성이 가중될 것으로 전망되고 있다. 본 연구에서는 평균해수면 상승에 따른 극치조위 자료에 대한 비정상성 빈도분석을 수행하였다. Mann-Kendall(MK) 검정 결과 연평균조위(annual average tide)의 경우 17개 지점에서 경향성이 통계적으로 유의한 것으로 나타났으며, 연극치 조위의 경우에는 7개 지점에서 유의한 것으로 나타났다. 비정상성 빈도 해석 결과 2100년에 한반도 연안의 극치 해수면 변화는 최소 60.33 mm에서 최대 214.90 mm까지 증가하는 것으로 분석되었다.

• 대한토목학회논문집
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• 제28권4D호
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• pp.513-521
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• 2008

본 연구는 과거 기상관측자료와 IPCC SRES A2 기후변화 시나리오를 이용하여 기후변화가 건설시공환경 변화에 미치는 영향을 분석하고자 하는데 그 목적이 있다. 이를 위해 과거기간은 전국 57개 기상관측소의 30년(1975~2004년)기간, 미래기간에 2025s(2011~2040년)와 2065s(2051~2080년)기간의 일강수량과 일평균기온자료를 이용하였다. 관측소별로 연강수량과 연평균기온에 대한 경향성분석을 수행한 결과 대부분의 관측소에서 연강수량과 연평균기온이 증가하는 것으로 나타났다. 기후변화와 시공환경간의 관계지표로 공사별 작업가능일수와 극치호우사상 발생일수를 선정하였다. 관계지표에 대해 선형회귀분석과 Mann-Kendall test를 이용하여 경향성 분석을 수행한 결과, 연별 작업가능일수와 극치호우사상 발생일수는 증가하는 것으로 나타났다. 또한, A2 시나리오 상황에서 작업가능일수와 극치호우사상 발생일수의 변화를 분석한 결과 관측자료를 이용한 결과와 유사한 결과를 보였다. 결과적으로 기후변화로 인해 작업가능일수의 증가와 더불어 집중호우로 인한 건설현업에서의 직 간접적 피해도 증가할 것으로 전망되었다.

• 보건행정학회지
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• 제27권1호
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• pp.88-94
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• 2017

The aim of this study was to investigate the current and trend of healthcare status of South Korea compared to Organization for Economic Cooperation and Development (OECD) countries. We used the position value for relative comparison (PARC) method for measuring the healthcare status of South Korea by five parts of healthcare policy (demand, supply, accessibility, quality, and cost). Additionally, we conducted Mann-Kendall test for analyzing the trend of PARC from 2000 to the present. Demand, supply, accessibility, and quality of healthcare of Korea were located upon the average of OECD countries, and showed an increasing trend from 2000 to the present. However, primary care and screening for cervical cancer were placed at a lower level compared the OECD average. In conclusion, the current state of healthcare in Korea seems to be generally beyond the average among OECD countries. However, some parts, including primary care, need to be improved.

• 보건행정학회지
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• 제30권1호
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• pp.131-138
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• 2020

The purpose of this study was to compare the health status of South Korea with those of Organization for Economic Cooperation and Development (OECD) countries and examine the trends. Position vAlue for Relative Comparison (PARC) was used as a gauge for comparison, and five sectors of the health care system were measured: demand, supply, accessibility, quality, and cost. The Mann-Kendall test was used as a statistical analysis method to examine trend of PARC values obtained from 2000 to recent years. According to the results, the demand, supply, accessibility, and quality sectors were higher than the OECD average, while the cost was lower than the average. However, there is a recent trend of sharp increases in health care costs. Some indicators: health employment, quality of primary care and mental health care were lower than the OECD average, and health determinants showed a worsening trend. Therefore, policy-makers need to take this into account and make efforts for sustainable health care.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.27-27
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• 2023

To analyze the evolution of water resources in Qiandao Lake Basin under the condition of climate change, a WEP-L distributed hydrological model was established to simulate the water cycle process in the basin during 1960-2020. The Mann-Kendall non-parametric test method and Hurst index method were used to analyze the inter-annual variation and annual distribution characteristics of the total water resources in the basin. The multi-scale temporal and spatial distribution and evolution trend of water resources in Qiandao Lake Basin were evaluated. The results show that: (1) The WEP-L model has good simulation results in the Qiandao Lake basin, and the Nash coefficient rate is above 0.83 in the periodic period and above 0.85 in the verification period. (2) The water yield coefficient of the whole basin ranges from 0.436 to 0.630. The annual average total water resource is 12.25 billion m³, equivalent to 1176.4mm of water depth. The annual distribution process shows a unimodal structure, and the water depth of each sub-basin ranges from 742 mm to 1266 mm, and the spatial distribution is higher in the west and lower in the east. (3) The annual water resources series in the basin showed an insignificant upward trend, and the Hurst index was 0.86, indicating a continuous upward trend. From the perspective of monthly water resources, January and February increased significantly, the other months were not significant changes.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.154-154
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• 2022

The frequency of natural disasters, including floods and drought events, driven by climate change has increased in recent times. Investigating the climate regimes and the roles of climate variables are indispensable to forestall future climate change-related disasters. This study compares the variability of two popular and widely used climate indices i.e., the United Nations Environment Programme (UNEP) aridity index and the Modified De-Martonne (MDM) index to assess the trend of climate change in the Chungcheong provinces of South Korea. The trend of annual and monthly climate indices was conducted using a non-parametric Mann-Kendall test and Kolmogorov-Smirnov normality test with daily climate data of 48 years (1978-2020) from 10 synoptic stations. The findings indicate that UNEP and MDM indices had a wet climate regime for the annual trend, with the UNEP index indicating a relatively humid trend of 60% humid, 20% semi-arid, and 10% sub-humid for the 48-years study period. However, the MDM index showed a high frequency of a severe wet climatic condition followed by the semi-arid condition. The months of July and August had the highest occurring frequency of the wet climatic condition (90%) for both UNEP and MDM indices. Comparing the two provinces, Chungnam showed a relatively wetter climatic condition using the UNEP index, while the MDM index indicated no significant regional difference in climate regime between the two provinces. The Kolmogorov-Smirnov normality test showed that all the 10 stations are normally distributed for monthly climate conditions at a 5% significant level in the two provinces except five stations for UNEP index and four stations for MDM index in the month of January.

• Advances in environmental research
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• 제6권4호
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• pp.265-279
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• 2017

The climate change has made adverse effects on land surface temperature for many regions of the world. Several climatic studies focused on different downscaling techniques for climatological parameters of different regions. For statistical downscaling of any hydrological parameters, conventional Neural Network Models were used in common. However, it seems that in any modeling study, uncertainty is a vital aspect when making any predictions about the performance. In this paper, Gamma Test is performed to determine the data length selection for training to minimize the uncertainty in model development. Another measure to improve the data quality and model development are wavelet transforms. Hence, Gamma Test with Wavelet decomposed Feedforward Neural Network (GT-WNN) model is developed and tested for downscaled land surface temperature of Patna Urban, Bihar. The results of GT-WNN model are compared with GT-FFNN and conventional Feedforward Neural Network (FFNN) model. The effectiveness of the developed models is illustrated by Root Mean Square Error and Coefficient of Correlation. Results showed that GT-WNN outperformed the GT-FFNN and conventional FFNN in downscaling the land surface temperature. The land surface temperature is forecasted for a period of 2015-2044 with GT-WNN model for Patna Urban in Bihar. In addition, the significance of the probable changes in the land surface temperature is also found through Mann-Kendall (M-K) Test for Summer, Winter, Monsoon and Post Monsoon seasons. Results showed an increasing surface temperature trend for summer and winter seasons and no significant trend for monsoon and post monsoon season over the study area for the period between 2015 and 2044. Overall, the M-K test analysis for the annual data shows an increasing trend in the land surface temperature of Patna Urban.