• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.30-42
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• 2016

Climate change are known to have had enormous impacts on plant phenology and thus to have damage on other species which are interacted within ecosystem. In Korea, however, it is difficult to analyze the relationship between climate and phenology due to the limitation of measurement data of plant phenological records. In this study, to be effective analysis of SOG(start of growing season), we used phenological transition dates by using satellite data. Then, we identified the most influential variable in variation of SOG throughout the relationship between SOG and temperature factors. As a result, there is a strong correlation between the SOG and April temperature, TSOGmin($3^{\circ}C$, 12days). This study is expected to be used for predicting plant phenological change using climate change scenario data.

• The Journal of Engineering Geology
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• v.19 no.3
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• pp.313-321
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• 2009

The relationship between precipitation and groundwater level and the correlation between the moving average of precipitation and goundwater level were analyzed for the Han river watershed in Korean peninsular. Fourteen regions in the watershed were selected and there were somewhat different patterns of seasonal fluctuation of groundwater level data. The groundwater level data tends to decrease in dry spell and increase in wet spell however the range between maximum and minimum values is quite different for each gauging point. We could have stronger correlation between groundwater level for fractured rock aquifer and the moving average of precipitation than the groundwater level for alluvial aquifer. The critical infiltration, which is the maximum daily infiltration averaged throughout watershed, value is turned out to have the range of 10 to 90 mm. We could have stronger correlation when we consider critical infiltration and modify the original precipitation data than we use original precipitation data. We also could have higher correlation coefficient when we consider snowmelt effect for the watershed that has considerable snow event.

• Journal of the Korean earth science society
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• v.35 no.7
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• pp.537-542
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• 2014

The Gravity Recovery and Climate Experiment (GRACE) has observed the Earth's mass redistribution mainly caused by the variations of groundwater, ice sheet, and sea level since its launch in April 2002. The global gravity model estimated by the GRACE observation is corrected by barometric pressure, and thus represents the change of Earth mass on the Earth's surface and below Earth's surface excluding air mass. However, the total air mass varies due to the water exchange between the Earth's surface and the atmosphere. As a result, the nominal GRACE gravity model should include the Earth's gravity spectrum associated with the total air mass variations, degree 0 and order 0 coefficients of spherical harmonics ($C_{00}$). Because the water vapor content varies mainly on a seasonal time scale, a change of $C_{00}$ (${\delta}C_{00}$) is particularly important to seasonal variations of sea level, and mass balance between northern and southern hemisphere. This result implies that ${\delta}C_{00}$ coefficients should be accounted for the examination of continental scale mass change possibly associated with the climate variations.

• Journal of Ocean Engineering and Technology
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• v.17 no.4
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• pp.23-30
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• 2003

This study investigates the seasonal variation and spatial distribution characteristics of pollutant load, as executing the quality valuation of pollutant load inflowing into Yeong-il Bay from on-land including the Hyeong-san River. Annual total pollutant generating rate from Yeong-il Bay region are 202ton-BOD/day, 620ton-SS/day, 42ton-TN/day, and 16ton-TP/day, respectively. Particularly, the generating ration of the pollutant loads from the Hyeong-san River is greater than that of any other watershed of the Yeong-il Bay, of which BOd is about 78.2％, SS 88.5％, T-N 62.5％, T-P 73.1％, As calculating Tank model with input value of daily precipitation and evaporation of 2001 year in drainage basin of the Hyeong-san River, the estimated result of the annual river discharge effluence from this river is 830106㎥, As a result to estimating annual effluence rate outflowing at the rivers from each drainage basin. annual inflow pollutant rates are 10,633ton-BOD/year, 19,302ton-SS/year, 15,369ton-TN/year, 305ton-TP/year, respectively. The population congestion region of the Pohang-city is a greater source of pollutant loads than the Neang-Chun region with wide drainage area. Therefore, the quantity of TN inflowing into Yeong-il Bay is much more than T-P. The accumulation of pollutant load effluenced from on-land will happen at the inner coast region of Yeon-il Bay. Finally, We would make a prediction that the water quality will take a bad turn.

• Proceedings of KOSOMES biannual meeting
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• 2009.06a
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• pp.149-150
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• 2009

영산강 하구둑에 의해 폐쇄내만의 조건을 가진 영산강 하구역에서 식물플랑크톤의 계절변동을 파악하고자 2008년에 계절별로 7개 정점에서 조사하였다. 영산강 하구역에서 출현한 식물플랑크톤 개체수는 14$\sim$34,958cells/mL의 범위를 보였다. 조사시기별로는 7월에 평균 10,796cells/mL가 출현하여 조사기간 중 가장 많은 출현 개체수를 보였고, 이어서 9월(평균 3,327cells/mL), 5월(평균 590cells/mL), 11월(평균 34cells/mL) 순으로 감소하여 조사시기별 출현개체수의 변동이 매우 심하였다. 규조류는 모든 조사시기에 걸쳐 최고의 점유율을 나타내었고 11월을 제외하면 전체 개체수의 90%이상을 차지하고 있어 규조류가 영산강 하구역의 식물플랑크톤 생물량을 좌우하고 있는 종임을 알 수 있었다. 영산강 하구역에서 출현한 식물플랑크톤의 제 1 우점종은 5월에 Eucampia zodiacus(83.1%), 7월에 Chaetoceros curvisetus(24.2%), 9월에 Pseudo-nitzschia delicatissima(94.3%), 11월에는 Chroomnnas류(33.6%)로 변화하였다. 5월과 9월은 한 종이 전체 식물플랑크톤 개체수의 80% 이상을 차지하는 극우점양상을 보여주었고, 7월에는 C. curvisetus, Skeleton듬 costatum 및 Chaetoceros sp. 등이 유사한 점유율로 우점하고 있었다. 영산강 하구역의 식물플랑크톤 종다양성지수는 0.228$\sim$2.260의 범위로 소수의 우점종에 의해 전체 군집의 분포양상이 결정되는 전형적인 연안, 하구수역의 군집 특성을 보이고 있었다.

• Journal of Korea Water Resources Association
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• v.42 no.11
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• pp.933-951
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• 2009

Climate change of global warming may affect the water circulation in Korea. Rainfall is occurred with complex of multiple climatic indices. Therefore, the rainfall is one of the most significant index due to climate change in the process of water circulation. In this research, multiple time series data of rainfall events were extracted to represent the rainfall characteristics. In addition, the occurrence of rainfall time series analyzed by annual, seasonal and monthly data. Analysis method used change analysis of mean and standard deviation and trend analysis. Also, changes in rainfall characteristics and the relative error was calculated during the last 10 years for comparison with past data. At the results, significant statistical results weren't showed by randomness of rainfall data. However, amount of rainfall generally increased last 10 years, and number of raining days had trend of decrease. In addition, seasonal and monthly changes in the rainfall characteristics can be found to appear differently.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1555-1559
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• 2010

본 연구는 미래 물 관리를 위한 기후변화 대응방안 도출 연구의 사전연구로서 금강유역의 과거 기상 수문요소의 특성변화 분석을 수행하였다. 기상자료로 금강유역 기상관측소 8개소의 37개년(1973~2009)의 기온, 강수량, 상대습도 자료를 수집하였다. 하천수위자료는 수위자료와 수위-유량관계곡선의 신뢰성 문제, 이후 수행될 장기유출분석을 고려하여 최종적으로 공주, 규암 수위관측소의 36개년(1973~2008)의 자료를 이용하였고, 지하수위자료는 강우관측소와 근접하게 위치해 있으면서 과거 자료를 최대한 많이 보유하고 있는 6개 관측소의 10개년(1999~2008)의 자료를 이용하였다. 수집된 자료의 평균, 표준편차, 왜곡도, 변동계수를 산출하여 연 계절별로 수문기상인자의 경년변화를 파악한 결과 기상인자 중 강수량의 변동성이 가장 크게 나타나 경년별 변화가 큰 것으로 분석되었고 하천수위보다는 지하수위가 경년별 변동이 적은 것으로 분석되었다. 수문학적 지속성 분석을 위해 Run 검정, Turning Point 검정, Anderson Exact검정을 이용하여 시계열자료에 주기성이 있는지 분석한 결과 기온과 강수는 무작위성, 상대습도, 하천수위는 지속성을 가지는 인자로 분석되었고 지하수위는 관측소별, 기간별로 무작위성과 지속성이 혼재되어 있는 것으로 나타났다. 마지막으로 경향성 분석을 위해 단순 선형 회귀분석과 Mann-Kendall 검정을 이용하였다. 그 결과 기온은 연 계절 모두 증가경향이 나타났고, 강수량은 여름에만 증가경향이 나타났으며, 상대습도는 뚜렷한 감소경향을 보였다. 또한 하천수위는 감소경향이 나타났으며 지하수위는 유의수준 범위에서 경향성은 보이지 않았다. 본 연구의 결과는 기후변화로 인해 발생될 수 있는 수자원의 영향을 평가하고 미래 물 관리 적응기술 개발 및 계획 수립을 위한 자료로 활용될 수 있을 것으로 사료된다.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.439-447
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• 2021

Due to the frequent emergence of global abnormal climates, related studies on meteorological change is being actively proceed. However, the research on trend analysis using weather data accumulated over a long period of time was insufficient. In this study, the trend of temperature time series data accumulated from automated surface observing system (ASOS) for 40 years was analyzed by using a non-parametric analysis method. As a result of the Mann-Kendall test on the annual average temperature and seasonal average temperature time series data in South Korea, it has shown that an upward trend exists. In addition, the result of calculating the Sen's slope, which can determine the degree of tendency before and after the searched change point by applying the Pettitt test, recent data after the fluctuation point confirmed that the tendency of temperature rise was even greater.

• Current Research on Agriculture and Life Sciences
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• v.4
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• pp.141-153
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• 1986

This study intends to document the existing cyclical fluctuations of garic and onion price at farm gate level during the period of 1966-1986 in Korea. The existing patterns of such cyclical fluctuations were estimated systematically by removing the seasonal fluctuation and irregular movement as well as secular trend from the original price through the moving average method. It was found that the cyclical fluctuations of garic and onion prices repeated six and seven times respectively during the same period, also the amplitude coefficient of cyclical fluctuations showed speed up in recent years. It was noticed that the cyclical fluctuations of price in onion was higher than that of in garic.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.477-493
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• 2020

This study conducted a seasonal survey to analyze the spatio-temporal variations of marine environments and phytoplankton community in Gochang Coastal Waters (GCW) from August 2016 to April 2017. In the results, the water temperature ranged from 2.1℃ to 34.5℃, showing a large seasonal variation, but the salinity changed from 31.14 psu to 32.64 psu. Therefore, the seasonal variations of water types in GCW were mainly determined by water temperature. The phytoplankton community consisted of 53 genera and 86 species, showing a relatively simple distribution. The phytoplankton cell density ranged from 2.2 to 689.2 cells mL^-1, with an average of 577.2 cells mL^-1, which was low in autumn and high in winter. The seasonal succession of phytoplankton dominant species was mainly diatoms during the whole year, Leptocylindrus danicus, Chaetoceros curvisetus, Skeletonema costatum-ls in summer, Paralia sulcata, Eucampia zodiacus in autumn, S. costatum-ls, Thalassiosira nordenskioeldii in winter, and S. costatum-ls, Asterionella glacialis in spring. In other words, the phytoplankton community showed high diversity in GCW throughout the year. According to the PCA, GCW were easily heated and cooled by radiant energy at lower depth, and the seasonal distributions of phytoplankton were determined by the supply of nutrients by re-fuelling of surface sediments due to the seawater mixing such as tidal mixing.