• Title/Summary/Keyword: climatic factors

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A Study on Characteristics of Climate Variability and Changes in Weather Indexes in Busan Since 1904 (1904년 이래의 부산 기후 변동성 및 생활기상지수들의 기후변화 특성 연구)

  • Ha-Eun Jeon;Kyung-Ja Ha;Hye-Ryeom Kim
    • Atmosphere
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    • v.33 no.1
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    • pp.1-20
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    • 2023
  • Holding the longest observation data from April 1904, Busan is one of the essential points to understand the climate variability of the Korean Peninsula without missing data since implementing the modern weather observation of the South Korea. Busan is featured by coastal areas and affected by various climate factors and fluctuations. This study aims to investigate climate variability and changes in climatic variables, extremes, and several weather indexes. The statistically significant change points in daily mean rainfall intensity and temperature were found in 1964 and 1965. Based on the change point detection, 117 years were divided into two periods for daily mean rainfall intensity and temperature, respectively. In the long-term temperature analysis of Busan, the increasing trend of the daily maximum temperature during the period of 1965~2021 was larger than the daily mean temperature and the daily minimum temperature. Applying Ensemble Empirical Mode Decomposition, daily maximum temperature is largely affected by the decadal variability compared to the daily mean and minimum temperature. In addition, the trend of daily precipitation intensity from 1964~2021 shows a value of about 0.50 mm day-1, suggesting that the rainfall intensity has increased compared to the preceding period. The results in extremes analysis demonstrate that return values of both extreme temperatures and precipitation show higher values in the latter than in the former period, indicating that the intensity of the current extreme phenomenon increases. For Wet-Bulb Globe Temperature (effective humidity), increasing (decreasing) trend is significant in Busan with the second (third)-largest change among four stations.

Development of Fatigue Model of Concrete Pavement Considering Environmental Loading (환경하중을 고려한 콘크리트 포장 피로모형의 개발)

  • Lim, Jin Sun;Kim, Yeon Bok;Jeong, Jin Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.819-829
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    • 2008
  • Fatigue cracking occurs over long time period because dynamic strength of slab continuously decreases by vehicle loading repetitively applied to the concrete pavement. To more accurately predict the fatigue life of the concrete pavement, the stress due to environmental loading should be considered prior to calculating the stress due to the vehicle loading because the stress due to temperature and moisture distribution always exists within the slab. Accordingly, a new fatigue model considering the environmental loading was developed in this research by evaluating factors of existing fatigue models most widely used and by making data points from the models. The applicability of the new model was evaluated by performing a fatigue analysis on the general concrete pavement structure using local climatic and traffic conditions in Korea. It was concluded that the top-down cracking due to the tensile stress at top of the slab is dominant cause of the fatigue failure than the bottom-up cracking occurred at bottom of the slab. More advanced fatigue analysis considering vehicle speed is expected by developing this study.

Landslide risk zoning using support vector machine algorithm

  • Vahed Ghiasi;Nur Irfah Mohd Pauzi;Shahab Karimi;Mahyar Yousefi
    • Geomechanics and Engineering
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    • v.34 no.3
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    • pp.267-284
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    • 2023
  • Landslides are one of the most dangerous phenomena and natural disasters. Landslides cause many human and financial losses in most parts of the world, especially in mountainous areas. Due to the climatic conditions and topography, people in the northern and western regions of Iran live with the risk of landslides. One of the measures that can effectively reduce the possible risks of landslides and their crisis management is to identify potential areas prone to landslides through multi-criteria modeling approach. This research aims to model landslide potential area in the Oshvand watershed using a support vector machine algorithm. For this purpose, evidence maps of seven effective factors in the occurrence of landslides namely slope, slope direction, height, distance from the fault, the density of waterways, rainfall, and geology, were prepared. The maps were generated and weighted using the continuous fuzzification method and logistic functions, resulting values in zero and one range as weights. The weighted maps were then combined using the support vector machine algorithm. For the training and testing of the machine, 81 slippery ground points and 81 non-sliding points were used. Modeling procedure was done using four linear, polynomial, Gaussian, and sigmoid kernels. The efficiency of each model was compared using the area under the receiver operating characteristic curve; the root means square error, and the correlation coefficient . Finally, the landslide potential model that was obtained using Gaussian's kernel was selected as the best one for susceptibility of landslides in the Oshvand watershed.

Latitude and seasons influence the prevalence of Theileria orientalis and affect the hematology of non-grazed dairy cows in Korea

  • Hector Espiritu;Hee-Woon Lee;Md Shohel Al Faruk;Su-Jeong Jin;Sang-Suk Lee;Yong-Il Cho
    • Parasites, Hosts and Diseases
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    • v.62 no.1
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    • pp.64-74
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    • 2024
  • This pilot study aimed to investigate the effects of regional and seasonal variations on the prevalence of Theileria orientalis and the hematological profile of non-grazed dairy cows in Korea. A total of 365 clinically healthy lactating Holstein Friesian cows from 26 dairy farms in 7 provinces that were categorized into northern, central, and southern regions were sampled during the warm period from July to August and the cold period from October to December. The detection of T. orientalis major piroplasm surface protein gene and the hematology non-grazed dairy cows were analyzed using peripheral blood samples. The T. orientalis prevalence was 20.0% (73/365). The prevalence in the southern region was 35.9%, which was significantly higher than that in the central (21.6%) and northern (12.9%) regions (P<0.05). The prevalence during warm period was higher (43.0%) than that during the cold season (13.5%). The infected cows showed significantly lower erythrocyte counts in the southern region (5.8±0.6 M/㎕) and during the warm period (5.8±0.7 M/㎕) compared with those in the central and northern regions and during the cold season, which affected the extended RBC parameters, including hematocrit and hemoglobin concentrations. Our findings revealed the prevalence of T. orientalis in Korea, highlighting its high occurrence during warm periods and in certain geographical regions. Climatic factors could contribute to the health and productivity of cattle, as evidenced by the prevalence of T. orientalis and its negative impact on animals.

Machine Learning Framework for Predicting Voids in the Mineral Aggregation in Asphalt Mixtures (아스팔트 혼합물의 골재 간극률 예측을 위한 기계학습 프레임워크)

  • Hyemin Park;Ilho Na;Hyunhwan Kim;Bongjun Ji
    • Journal of the Korean Geosynthetics Society
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    • v.23 no.1
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    • pp.17-25
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    • 2024
  • The Voids in the Mineral Aggregate (VMA) within asphalt mixtures play a crucial role in defining the mixture's structural integrity, durability, and resistance to environmental factors. Accurate prediction and optimization of VMA are essential for enhancing the performance and longevity of asphalt pavements, particularly in varying climatic and environmental conditions. This study introduces a novel machine learning framework leveraging ensemble machine learning model for predicting VMA in asphalt mixtures. By analyzing a comprehensive set of variables, including aggregate size distribution, binder content, and compaction levels, our framework offers a more precise prediction of VMA than traditional single-model approaches. The use of advanced machine learning techniques not only surpasses the accuracy of conventional empirical methods but also significantly reduces the reliance on extensive laboratory testing. Our findings highlight the effectiveness of a data-driven approach in the field of asphalt mixture design, showcasing a path toward more efficient and sustainable pavement engineering practices. This research contributes to the advancement of predictive modeling in construction materials, offering valuable insights for the design and optimization of asphalt mixtures with optimal void characteristics.

Classification of the Core Climatic Region Established by the Entropy of Climate Elements - Focused on the Middle Part Region - (기후요소의 엔트로피에 의한 핵심 기후지역의 구분 - 중부지방을 중심으로 -)

  • Park, Hyun-Wook;Chung, Sung-Suk;Park, Keon-Yeong
    • Journal of the Korean earth science society
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    • v.27 no.2
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    • pp.159-176
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    • 2006
  • Geographic factors and mathmatical location of the Korean Peninsula have great influences on the variation patterns and appearances over a period of ten days of summer precipitation. In order to clarify the influence of several climate factors on precise climate classification in the middle part region of the Korea, weather entropy and the information ratio were calculated on the basis of information theory and of the data of 25 site observations. The data used for this study are the daily precipitation phenomenon over a period of ten days of summer during the recent thirteen years (1991-2003) at the 25 stations in the middle part region of the Korea. It is divided into four classes of no rain, $0.1{\sim}10.0mm/day,\;10.1{\sim}30.0mm/day$, 30.1mm over/day. Their temporal and spatial change were also analyzed. The results are as follows: the maximum and minimum value of calculated weather entropy are 1.870 bits at Chuncheon in the latter ten days of July and 0.960 bits at Ganghwa during mid September, respectively. And weather entropy in each observation sites tends to be larger in the beginning of August and smaller towards the end of September. The largest and smallest values of weather representative ness based on information ratio were observed at Chungju in the beginning of June and at Deagwallyeong towards the end of July. However, the largest values of weather representativeness came out during the middle or later part of September when 15 sites were adopted as the center of weather forecasting. The representative core region of weather forecasting and climate classification in the middle part region of the Korea are inside of the triangle region of the Buyeo, Incheon, and Gangneung.

A Study on the Phonology of the Striped Rice Borer, Chilo suppressalis (Walker), in Relation to the Introduction of New Agricultural Practices (경종법에 변천에 따르는 이화명나방 발생상의 변동에 관한 연구)

  • Song Yoo Han;Choi Seung Yoon;Hyun Jai Sun
    • Korean journal of applied entomology
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    • v.21 no.1 s.50
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    • pp.38-48
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    • 1982
  • This study was conducted to investigate the changes in moth occurrence of striped rice barer, Chilo suppressalis (Walker), in relation to climatic factors, rice varieties, and cultural practices. The light trap data from 41 forecasting stations for 14 years from 1966 to 1979 were analyzed by means of the changes in the time and amount of borer occurrence in connection with the introduction of new rice varieties, the accumulated effective day-degree and its variation for completing one generation, and the climatic factors affecting the moth occurrence. The total number of moths caught by light traps in both spring and summer generations were considerably decreased with the wide cultivation of new rice varieties. In fact, the spring moths were remarkably decreased since the new varieties were introduced in 1972. The occurrence ratio of summer moths against the preceeding spring moths was higher in the middle region and middle southern mountainous area than the other regions. Its high ratio of regions was annually expanded from the middle region to the southern region. The $50\%$ emergence dates of both generations were later in the southeastern region than in the middle region. The ecological characteristics were clearly shown between the northern and southern region of Chupungryeong in terms of the occurrence of summer moths, the ratio of occurrence of summer moths to the preceeding spring moths, and $50\%$ emergence dates of the summer moths during the years of $1977\~1979$. The ratio of the summer moth occurrence to the preceeding generation was negatively correlated with the average temperature in lune and July, respectively, and the average precipitation in late June. The ratio of spring moth occurrence over the preceeding generation was positively correlated with the average temperature in September, October, November, and March, respectively, whereas it was negatively correlated with the average precipitation in early September and March, and the average humidity in early May. The effective day-degree for one generation was in the range from 600 to 900 DD at upper threshold $30^{\circ}C$ and lower threshold $10^{\circ}C$.

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The Effects of Major Climatic Factors on Barely Response to NPK Fertilizers (대맥(大麥)의 NPK 비료응수(應酬)에 미치는 주요기상인자(主要氣象因子)들의 영향(影響)에 관(關)하여)

  • Park, Nae Jung;Lee, Choon Soo;Ryu, In Soo;Park, Chon Suh;Kim, Yung Sup
    • Korean Journal of Soil Science and Fertilizer
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    • v.6 no.2
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    • pp.129-136
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    • 1973
  • In order to study the effects of climatic factors on barley responses to NPK fertilizers, the responses under the conditions of cold, moisture and drought damages and in different temperature regions, Nothern, Central, and Southern, which were devided according to average temperature for growing season of barley (from Nov. to May) were investigated from the results of NPK experiments which were carried out from Nov., 1965 to May 1969. The relationships between occurrence rate of cold, moisture, and drought damages and average or average lowest temperature in winter (Dec., Jan., and Feb), and the amount of precipitation in spring (Mar., Apr,. and May) were also investigated. 1. The lower the average lowest temperature, the higher the occurrence rate of cold damage of barley. When affected by cold damage, barley responded more significantly to P and K fertilizers. 2. The more the amount of precipitation in spring, the more the moisture damage and the less the drought damage. Damage from both moisture and drought were the lowest at 280mm. Since the average precipitation in spring in Korea is 230mm, drought damage is always more problem in terms of occurrence of damage, but total yield reduction is greater by moisture damage. 3. When affected by moisture damage, barley responded more to P and K fertilizers. In case of drought damage, only response to K was recognizable. 4. The reductions of barley yield due to cold, moisture, and drought damages were in average 31 (29-33), 42, and 19(12-25)%, respectively. 5. Average barley responses to NPK fertilizers were 44(34-58), 19(5-38), and 9(1-34)%, respectively by percent responses with regard to maximum possible yields. 6. Responses to nitrogen increased as the sunshine hours increased. Under dry condition, the response increased as the precipitation increased. However if the amount of precipitation was excessive or too little, the response was dropped markedly. 7. The responses to P and K were higher in North than South to the same degree. As the average temperature for growing season of barley (from Nov. to May) increased by $1^{\circ}C$, the percent responses to both P and K increased by 4.3%.

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A Study on the Appearance Characteristic of Landscape Elements and Symbolic Elements Implied in Tablets - Focus on Korean Damyang Garden and Chinese Suzhou Garden - (편액에 함의된 경관 및 상징요소의 출현특성 - 한국의 담양원림과 중국의 소주원림을 중심으로 -)

  • Ham, Kwang-Min;Li, Shu-Hua;Zhang, Ya-Ping;Mitani, Toru;Zhang, Jun-Hua
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.34 no.4
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    • pp.78-88
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    • 2016
  • The comparative analysis result of appearance characteristic of landscape elements and symbolic elements implied by the tablets on the 16th century's Korean Damyang garden and Chinese Suzhou garden is as follows. First, among the landscape elements implied in the tablets, appearance rate of botanical factors appeared high in the gardens of both areas. Damyang garden displayed bamboo grove and natural forest around the garden, while Suzhou garden displayed artificial mountain(假山) created artificially and a variety of plants including lotus, bamboo, and pine surrounding it were associated with the significance of the tablets. On the other hand, climatic/celestial elements including the rain, wind, and the moon were associated with the tablets of Damyang garden, while the artificial factors such as the building, bridge, and book, etc. were mostly were associated with the tablets of Suzhou garden. Second, among the symbolic elements included in the tablets, ethical personality which is the basic virtue of a noble man(聖人), was the universal characteristic of the meditation world of the garden in both areas. However, a will for political stability was mostly associated with the tablets of Damyang garden, while the retrospect heart for the immortal was mostly associated with the signboard in Suzhou garden. It was concerned with political ideal and the thought of Confucianism respectively. Third, the symbolic elements that appeared frequently in the tablets of Damyang garden, "Ethics" and "Political stability", were associated with the scene atmosphere created by the climatic elements and celestial elements. On the contrary, the symbolic elements which most frequently appeared in the tablets of Suzhou garden, "Ethics", was associated with the symbolic significance of the plant. The invisible space of gardens was expanded by tablets in both areas.

Effects of Climatic Factors on the Nationwide Distribution of Wild Aculeata (Insecta: Hymenoptera) (전국 야생 벌목 분포에 대한 기후요인 영향 연구)

  • Yu, Dong-Su;Kwon, Oh-Chang;Shin, Man-Seok;Kim, Jung-Kyu;Lee, Sang-Hun
    • Korean Journal of Environment and Ecology
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    • v.36 no.3
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    • pp.303-317
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    • 2022
  • Climate change caused by increased greenhouse gas emissions can alter the natural ecosystem, including the pollination ecosystem and agricultural ecology, which are ecological interactions between potted insects and plants. Many studies have reported that populations of wild bees, including bees and wasps (BW), which are the key pollinators, have gradually declined due to climate change, leading to adverse impacts on overall biodiversity, ultimately with agribusinesses and the life cycle of flowering plants. Therefore, we could infer that the rising temperature in Korean Peninsula (South Korea) due to global warming has led to climate change and influenced the wild bee's ecosystem. In this study, we surveyed the distributional pattern of BW (Superfamily: Apoidea, Vespoidea, and Chrysidoidea) at 51 sites from 2017 (37 sites) to 2018 (14 sites) to examine the effects of climatic factors on the nationwide distribution of BW in South Korea. Previous literature has confirmed that their distribution according to forest climate zones is significantly correlated with mean and accumulative temperatures. Based on the result, we predicted the effects of future climate changes on the BW distribution that appeared throughout South Korea and the species that appeared in specific climate zones using Shared Socioeconomic Pathways (SSPs). The distributions of wild BW predicted by the SSP scenarios 2-4.5 and 5-8.5 according to the BIOMOD species distribution model revealed that common and endemic species will shift northward from the current habitat distribution by 2050 and 2100, respectively. Our study implies that climate change and its detrimental effect on the ecosystem is ongoing as the BW distribution in South Korea can change, causing the change in the ecosystem in the Korean Peninsula. Therefore, immediate efforts to mitigate greenhouse gas emissions are warranted. We hope the findings of this study can inspire further research on the effects of climate change on pollination services and serve as the reference for making agricultural policy and BW conservation strategy