지역별 잣나무 초기생장에 미치는 미기후의 영향 - 연년생장과 미기후와의 관계-

전상근,신만용,Chon Sang- Keun,Shin Man Yong 한국농림기상학회 1999 한국농림기상학회지 Vol.1 No.1

본 연구는 경기도 가평과 충천북도 영동에 식재된 잣나무 임분의 임령별 연년생장을 파악하고 지역적 기후조건이 잣나무 초기생장에 미치는 영향을 구명하기 위하여 수행하였다. 먼저 각 지역의 임령별 평균 흉고직경, 평균 수고, ha당 흉고단면적, ha당 재적 등의 임분통계량을 측정 요약하였으며, 이에 근거하여 10년생부터 18년생까지 8년간의 초기생장에 대한 임분변수별 연년생장량을 파악하였다. 연구 대상지의 지역별 미기후는 지형과 기후치간의 관계를 이용한 지형기후학적 방법에 의해 평균기온, 최고기온, 최저 기온, 상대습도, 강수량, 그리고 일조시수의 월별 평년 값을 추정한 후, 공간통계기법을 적용하여 지역별·연도별 월별 기후치를 추정하였다. 이들 자료를 이용하여 임목생장에 영향을 미칠 것으로 판단되는 온량지수, 한랭지수, 건조지수 등의 17개 기후변수를 지역별·연도별로 산출하고 임분변수별 연년생장량과의 상관분석 및 회귀분석을 실시하였다. 잣나무의 초기생장은 경기도 가평이 충청북도 영동에 비하여 훨씬 우수한 성장을 보이고 있었다. 일반적으로 잣나무 임분의 생장은 기온이 낮고 강수량이 많아 높은 습도를 유지하는 지역이 적합한 것으로 알려져 있다. 지역별의 추정된 연도별 미기후와 연년생장과의 상관관계와 회귀분석 결과에 의하면, 가평 지역 잣나무 유령임분의 연년생장은 이러한 일반적인 생장-기후 관계와 일치하는 것으로 나타났다. 하지만 영동지역의 임분변수별 연년생장과 미기후와의 관계는 가평지역과는 다소 다른 경향을 보이고 있다. 이러한 결과는 연간 변이가 심한 기후조건에도 불구하고 비교적 짧은 기간 동안의 자료만으로는 연년생장에 미치는 영향을 구명하는데 한계가 있다는 사실에 기인한다. 또한 영동지역의 저조한 생장의 원인에 미기후 조건 이외에도 지위와 같은 다른 환경요인이 복합적으로 작용하기 때문으로 판단된다. This study was conducted to investigate the effects of local climatic conditions on the annual increment of Korean white pine planted in Gapyung and Yaungdong. For this, stand variables such as mean DBH, mean height, basal area per hectare, and volume per hectare by stand age were measured and summarized for each locality. Based on these statistics, annual increments for 8 years from stand age 10 to 18 were calculated for each of stand variables. A topoclimatological technique which makes use of empirical relationships between the topography and the weather in study sites was applied to produce normal estimates of monthly mean, maximum, minimum temperatures, relative humidity, precipitation, and hours of sunshine. Then, the yearly climatic variables from 1990 to 1997 for each study site were derived from the spatial interpolation procedures based on inverse- distance weighting of the observed deviation from the climatic normals at the nearest 11 standard weather stations. From these estimates, 17 weather variables such as warmth index, coldness index, index of aridity etc., which affect the tree growth, were computed on yearly base for each locality. The deviations of measured annual increments from the expected annual increments for 8 years based on yield table of Korean white pine were then correlated with and regressed on the yearly weather variables to examine effects of local climatic conditions on the growth. Gapyung area provides better conditions for the growth of Korean white pine in the early stage than Youngdong area. This indicates that the conditions such as low temperature, high relative humidity, and large amount of precipitation provide favor environment for the early growth of Korean white pine. A ccording to the correlation and regression an analysis using local climatic conditions and annual increments, the growth pattern of Gapyung area corresponds to this tendency. However, it was found that the relationship between annual increments and local climatic conditions in Youngdong area shows different tendency from Gapyung. These results mean that the yearly growth pattern could not sufficiently be explained by climatic conditions with high variance in yearly weather variables. In addition, the poor growth in Youngdong area might not only be affected by climatic conditions, but also by other environmental factors such as site quality.

Hydrological severity assessment of extreme climate conditions

Park, Jongmin,Baik, Jongjin,Choi, Minha,Jeong, Jaehwan,Sur, Chanyang John Wiley Sons, Ltd. 2019 International journal of climatology Vol.39 No.5

<P>The management of water resources is challenging under extreme climate conditions with the acceleration of climate change. Many existing indices for analysing extreme climate conditions focus on the statistical behaviour of a single hydrological variable, such as precipitation or temperature. Such indices have limitations in providing a comprehensive interpretations of elaborate extreme climate conditions. In this study, the hydrological severity index (HSI), which is defined as the ratio of precipitation to the sum of evapotranspiration, runoff, and terrestrial water storage from the water balance equation, was proposed and calculated using Global Land Data Assimilation System datasets for 1980–2010. Mean HSI was relatively high in tropical regions due to the high sensitivity of precipitation, while it was relatively low in semi‐arid and arid regions due to low precipitation and high evaporative demand. HSI showed a good representation of hydrological severity based on the spatial pattern of the absolute correlation coefficient as well as the opposite pattern of the coefficient of variation calculated from HSI and the radiative index of dryness. Based on the aforementioned phenomenon, temporal anomaly HSI (HSI<SUB>anom</SUB>) was applied to Pakistan and Australia as case studies to analyse the 2010 Pakistan Flooding and the Australian Millennium Drought (especially in 2002 and 2006). The HSI<SUB>anom</SUB> was able to capture the severity of extreme climate events and to provide underlying causes accompanying the physical climate forcing system. Specifically, the spatial pattern of HSI<SUB>anom</SUB> was useful for analysing regions with high severity to extreme climate conditions. The HSI can be used to establish water management policies that consider regional hydrological features in order to cope with intensified climate change. In addition, stand‐alone HSI could be used to predict future climate trends based on precise simulations of hydrological variables.</P>

Assessment of the Effects of Interactions between Climatic Conditions and Genetic Characteristics on the Agronomic Traits of Soybeans Grown in Six Different Experimental Fields

Myoung Ryoul Park,Chunmei Cai,서민정,윤홍태,박수권,최만수,박창환,문중경 한국작물학회 2019 Korean journal of crop science Vol.64 No.3

Soybean [Glycine max (L.) Merr.] is a species of legume native to East Asia. The interactions between climatic conditions and genetic characteristics are known to affect the agricultural performance of soybean. Therefore, the present investigation was conducted to identify the main elements affecting the agricultural performances of 11 soybean varieties/lines from China [Harbin (45°12′N), Yanji (42°53′N), Dalian (39°30′N), Qingdao (36°26′N)] and the Republic of Korea [Suwon (37°16′N), and Jeonju (35°49′N)]. The days to flowering (DTF) of soybeans with the e1-nf and e1-as alleles and the E1e2e3e4 genotype, except in ‘Keumgangkong’, ‘Tawonkong’, and ‘Duyoukong’, were relatively short compared to those of soybeans with other alleles. Although DTF of the soybeans was highly correlated with all climatic conditions [negative: precipitation, average temperature (AVT), accumulated temperature; positive: day-length (DL)], days to maturity and 100-seed weight of the soybeans showed no significant correlation with any climatic conditions. The soybeans with a dominant Dt1 allele, except ‘Tawonkong’, had the longest stem length (STL). Moreover, STL of the soybeans grown in the test fields showed a positive correlation with only DL; however, the results of our chamber test that was conducted to complement the field tests showed that STL of soybean was positively affected by AVT and DL. Although soybean yield (YLD) showed positive correlations with latitude and DL (except L62-667, OT89-5, and OT89-6), the response of YLD to the climatic conditions was cultivar-specific. Our results show that DTF and STL of soybeans grown in six different latitudes are highly affected by DL, and AVT and genetic characteristic also affect DTF and STL.

개념적 수문분할모형의 보정에 미치는 수문기후학적 조건의 영향

최정현 ( Jeonghyeon Choi ),서지유 ( Jiyu Seo ),원정은 ( Jeongeun Won ),이옥정 ( Okjeong Lee ),김상단 ( Sangdan Kim ) 한국물환경학회(구 한국수질보전학회) 2020 한국물환경학회지 Vol.36 No.6

Calibrating a conceptual hydrologic model necessitates selection of a calibration period that produces the most reliable prediction. This often must be chosen randomly, however, since there is no objective guidance. Observation plays the most important role in the calibration or uncertainty evaluation of hydrologic models, in which the key factors are the length of the data and the hydro-climate conditions in which they were collected. In this study, we investigated the effect of the calibration period selected on the predictive performance and uncertainty of a model. After classifying the inflows of the Hapcheon Dam from 1991 to 2019 into four hydro-climate conditions (dry, wet, normal, and mixed), a conceptual hydrologic partitioning model was calibrated using data from the same hydro-climate condition. Then, predictive performance and post-parameter statistics were analyzed during the verification period under various hydro-climate conditions. The results of the study were as follows: 1) Hydro-climate conditions during the calibration period have a significant effect on model performance and uncertainty, 2) calibration of a hydrologic model using data in dry hydro-climate conditions is most advantageous in securing model performance for arbitrary hydro-climate conditions, and 3) the dry calibration can lead to more reliable model results.

Assessment of the Effects of Interactions between Climatic Conditions and Genetic Characteristics on the Agronomic Traits of Soybeans Grown in Six Different Experimental Fields

Park, Myoung Ryoul,Cai, Chunmei,Seo, Min-Jung,Yun, Hong-Tae,Park, Soo-Kwon,Choi, Man-Soo,Park, Chang-Hwan,Moon, Jung Kyung The Korean Society of Crop Science 2019 한국작물학회지 Vol.64 No.3

Soybean [Glycine max (L.) Merr.] is a species of legume native to East Asia. The interactions between climatic conditions and genetic characteristics are known to affect the agricultural performance of soybean. Therefore, the present investigation was conducted to identify the main elements affecting the agricultural performances of 11 soybean varieties/lines from China [Harbin ($45^{\circ}12^{\prime}N$), Yanji ($42^{\circ}53^{\prime}N$), Dalian ($39^{\circ}30^{\prime}N$), Qingdao ($36^{\circ}26^{\prime}N$)] and the Republic of Korea [Suwon ($37^{\circ}16^{\prime}N$), and Jeonju ($35^{\circ}49^{\prime}N$)]. The days to flowering (DTF) of soybeans with the e1-nf and e1-as alleles and the E1e2e3e4 genotype, except in 'Keumgangkong', 'Tawonkong', and 'Duyoukong', were relatively short compared to those of soybeans with other alleles. Although DTF of the soybeans was highly correlated with all climatic conditions [negative: precipitation, average temperature (AVT), accumulated temperature; positive: day-length (DL)], days to maturity and 100-seed weight of the soybeans showed no significant correlation with any climatic conditions. The soybeans with a dominant Dt1 allele, except 'Tawonkong', had the longest stem length (STL). Moreover, STL of the soybeans grown in the test fields showed a positive correlation with only DL; however, the results of our chamber test that was conducted to complement the field tests showed that STL of soybean was positively affected by AVT and DL. Although soybean yield (YLD) showed positive correlations with latitude and DL (except L62-667, OT89-5, and OT89-6), the response of YLD to the climatic conditions was cultivar-specific. Our results show that DTF and STL of soybeans grown in six different latitudes are highly affected by DL, and AVT and genetic characteristic also affect DTF and STL.

극한 호우사상의 규모 평가를 위한 대규모 기후 앙상블 자료의 적용 : 2018년 히로시마 극한 호우의 사례

김영규(Kim, Youngkyu),손민우(Son, Minwoo),김선민(Kim, Sunmin) 한국방재학회 2022 한국방재학회논문집 Vol.22 No.2

본 연구는 대규모 기후 앙상블 모의 결과를 이용하여 산정된 극한 강우량을 최근 발생한 극한 호우사상의 규모 평가에 적용하는 것을 목적으로 수행되었다. 이 연구는 2018년 히로시마 극한 호우의 사례를 기반으로 했다. 2018년 히로시마 호우사상은 지속시간 24시간에서 1,000년의 재현기간에 상응하는 극한 규모를 나타냈기 때문에 빈도해석 방법을 기반한 확률강우량의 개념으로 규모를 평가하기 어렵다. 따라서 이를 평가하고자 대규모 기후 앙상블 모의결과 기반의 d4PDF 자료를 이용하였다. 이 자료는 3,000개의 연 최대 강우자료를 제공하고, 이를 토대로 통계적 모형 및 가정 없이 비모수적으로 10년부터 1,000년의 재현기간을 나타내는 지속시간 24시간의 확률강우량을 산정했다. 산정된 d4PDF의 확률강우량은 관측강우량의 확률강우량과 비교하였으며, 관측기간에 가까운 50년의 재현기간에서는 두 확률강우량의 차이가 3.53%였지만 관측기간(33년)과 재현기간(100년 이상)의 차이가 증가할수록 오차가 10% 이상으로 증가하는 양상을 나타냈다. 이는 장기간 재현기간에서 관측강우량의 확률강우량은 불확실성을 내포하는 것을 의미한다. d4PDF의 확률강우량에 대해서 2018년 히로시마 호우사상은 300년에 가까운 재현기간을 나타냈다. 미래 기후조건에서의 d4PDF 자료를 이용해 확률강우량을 산정했으며, 현재 기후조건대비 미래 기후조건에서 10년부터 1,000년의 재현기간을 나타내는 확률강우량은 모두 20% 이상으로 증가했다. 미래 기후조건의 확률강우량에 대해 2018년 히로시마 호우사상은 100년에 가까운 재현기간을 나타냈으며, 이는 미래 기후조건에서 히로시마 호우사상의 발생 확률이 0.33% (현재 기후)에서 1% (미래 기후)로 증가하는 것을 의미한다. 결과적으로, 대규모 기후 앙상블 모의결과 기반의 d4PDF는 현재 기후조건과 미래 기후조건하에서 극한 규모의 호우사상을 정량적으로 평가하는데 유용하게 활용될 수 있다. This study aims to apply large-scale climate ensemble simulation data to evaluate the magnitude of extreme rainfall events. It was conducted on the basis of extreme rainfall that occurred in the Hiroshima region in 2018. This event recorded an extreme rainfall magnitude corresponding to a return period of 1,000 years at a 24-h rainfall duration; it is difficult to evaluate this magnitude with the concept of probability rainfall based on frequency analysis due to the short observation period. To overcome this limitation, the data for policy decision making for future (d4PDF) climate change database based on a large-scale climate ensemble simulation was used. These data provided 3,000 annual maximum daily rainfall values, which were used to empirically estimate the probability rainfall with a return period of 10-1,000 years based on a non-parametric approach without statistical methods. The estimated probability rainfall of the d4PDF was compared with the estimated probability obtained from the observed rainfall and frequency analysis. The difference between the two probability rainfall values was 3.53% for the return period of 50 years. However, as the return period increases, the error increases to more than 10%. This indicates that the estimation of the probability rainfall with a long-term return period using the observed data of a relatively short period may present uncertainties. Regarding the probability rainfall using d4PDF under present climate conditions, the Hiroshima event represented a return period of nearly 300 years. Meanwhile, for the probability rainfall using the d4PDF under future climate conditions, the Hiroshima event had a return period of nearly 100 years. Consequently, the magnitude of the probability rainfall increased in future climate conditions, and the probability of the occurrence of extreme rainfall corresponding to the Hiroshima event increased from 0.33% to 1%. Therefore, d4PDF can be used to quantitatively evaluate the magnitude of extreme rainfall events under present and future climate conditions.

감자의 가공품질에 영향을 미치는 토양 및 기상조건

정진철,윤영호,장동칠,박천수,김숭열 한국환경농학회 2003 한국환경농학회지 Vol.22 No.4

감자의 가공품질에 영향을 미치는 토양 및 기상조건을 구명하기 위하여 국내 주요 감자재배 지역 7곳에 1994년부터 1995년까지 2년에 걸쳐 각 지역별 2~3개 농가에서 감자를 재배하였으며, 각 재배포장의 토양시료 채취 및 괴경을 수확하였다. 지역별 감자 괴경의 가공품질 차이의 원인을 구명키 위하여 토양분석과 수확일 기준으로 수확전 70~10일 사이의 기상조건을 10일 간격으로 조사하였으며, 수확된 괴경의 가공품질과 이들 요인과의 상관계수를 계산하였다. 시험결과 감자의 가공품질은 토양의 화학적 특성 중에서 토양내 유기물함량과 높은 상관계수를 보였다. 또한 기상조건과 관련하여 수확전 30~10일 사이의 최저온도가 낮으며, 일조시간이 많을수록 감자의 가공품질이 향상되었다. 또한 이들 상관관계가 높은 요인들을 대상으로 가공품질 요인에 대한 다중회귀식을 구한 결과 괴경건물율과 칩색도는 비교적 높은 결정계수를 보여주었다. 따라서 우리나라에서 고품질의 가공원료 생산을 위한 적지 선정에 있어 토양중의 유기물 함량과 그 지역의 최저온도 및 일조시간 둥이 고려되어야 할 것으로 생각된다. In order to examine the difference in processing quality of potato tubers among localities, chemical properties of soils were analyzed and climatic conditions were investigated. potatoes (Solanum tuberosum L) were grow at seven localities of Korea during two years from 1994 to 1995. Soil samples and tubers were obtained from 2 to 3 commercial farms per locality with 10 days interval from 70 days before harvesting. As the result of that, higher correlation in processing quality was found with organic material content among soil conditions. On the climatic conditions, minimum temperature and sunshine hours during the period from 30 to 11 days before harvesting exhibited highly significant negative correlations with all quality parameters except reducing sugar content. Additionally, regression equations based on the observed level of these factors showed the relatively high coefficients of determination for dry matter content and chip color. To produce higher quality potatoes for processing, therefore, climatic conditions such as minimum temperature and sunshine hour and soil condition such as organic matter content have to be considered before the selection of areas or fields.

요하문명, 홍산문화 지역의 지리적 기후적 조건

우실하 고조선단군학회 2014 고조선단군학 Vol.30 No.-

Geographically, Liaohe(遼河) valley is a basin that is surrounded by many highlands. At this time, the south part of the middle reaches of Liaohe valley is turn into a desert named ‘Karachin Desert’. But the climatic conditions of Liaohe valley is very different from nowadays. In this paper I research the climatic conditions of Liaohe valley from 10000 B.P. to present. Hongshan Culture (B.C. 4500 - B.C. 3000) is the flower of Liaohe Civilization. In Hongshan Culture period the south part of Lioaning province was very different from nowadays. (1) The climate was a moist climate, (2) the see level was about 10-13m higher than nowadays, (3) and the annual average temperature was about 13℃, that is to say about 4℃ higher than nowadays. So in Hongshan Culture period the south part of Lioaning province has a very good conditions to live. Liaohe Civillization and Hongshan Culture was successfully flourished in this climatic conditions. But in the end of Hongshan Culture(B.C. 3000) the climate was changed dramatically from a moist climate to semi-moist and semi-arid climate. Around this period Hongshan Culture was disappeared.

기후변화에 따른 강수 특성 변화 분석을 위한 대규모 기후 앙상블 모의자료 적용

김영규(Youngkyu Kim),손민우(Minwoo Son) 한국기상학회 2022 대기 Vol.32 No.1

Recently, Japan’s Meteorological Research Institute presented the d4PDF database(Database for Policy Decision-Making for Future Climate Change, d4PDF) through large-scale climate ensemble simulations to overcome uncertainty arising from variability when the general circulation model represents extreme-scale precipitation. In this study, the change of precipitation characteristics between the historical and future climate conditions in the Yongdam-dam basin was analyzed using the d4PDF data. The result shows that annual mean precipitation and seasonal mean precipitation increased by more than 10% in future climate conditions. This study also performed an analysis on the change of the return period rainfall. The annual maximum daily rainfall was extracted for each climatic condition, and the rainfall with each return period was estimated. In this process, we represent the extreme-scale rainfall corresponding to a very long return period without any statistical model and method as the d4PDF provides rainfall data during 3,000 years for historical climate conditions and during 5,400 years for future climate conditions. The rainfall with a 50-year return period under future climate conditions exceeded the rainfall with a 100-year return period under historical climate conditions. Consequently, in future climate conditions, the magnitude of rainfall increased at the same return period and, the return period decreased at the same magnitude of rainfall. In this study, by using the d4PDF data, it was possible to analyze the change in extreme magnitude of rainfall.

Response of Canopy Temperature with a Change of Soil Moisture Content and Climatic Condition

( Minyoung Kim ),( Yonghun Choi ),( Jonggil Jeon ),( Youngjin Kim ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Plant water use information (e.g., soil water content and crop evapotranspiration) is an essential key to help conserve agricultural water resources and save irrigation cost in coping with climate change. This can be used by growers and their advisers to understand the pattern of daily water use by plants for scheduling irrigations, which determines the time and amount of water to apply to replenish soil water depletion depending upon plant growth phase and environmental changes. This study focuses on canopy temperature, as an index of water stress. The variation of canopy temperature was investigated in the three irrigation regime treatments (25, 30, and 34% of soil moisture contents) and six up-down vertical position measurements (30, 50, 90, 120, 150, 180 cm) across the tree canopy viewed by thermal images taken from a distance of 6.0 m and a height of 1.3 m perpendicular to the soil surface area. In addition to a thermal camera, portable FDR soil sensor (soil depths of 30, 50 cm), and weather sensors (air temperature, relative humidity, wind speed, and solar radiation) were used for collecting field data targeting for seven-year-old peach trees between 11am and 4pm on the cloudless and cloudy days. The relationship between canopy temperature and different irrigation treatments (and climatic condition) were defined, which indicates that canopy temperature had positive correlation with air temperature, relative humidity and solar radiation, but negative correlation with relative humidity, wind speed, and irrigation treatments. Additional relationship between canopy temperature and soil temperature was investigated. This study revealed that the effect of different irrigation treatments was not significant because the range of irrigation level was not large enough to observe its influence on change of canopy temperature. The most vertical variation in canopy surface temperature was observed from the upper part of tree, but it was not consistent with any of three irrigation treatments due to the effects of time of measurement and weather condition.