• Title/Summary/Keyword: climate(氣候)

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The Impact of Climate Change on Sub-daily Extreme Rainfall of Han River Basin (기후변화가 한강 유역의 시단위 확률강우량에 미치는 영향)

  • Nam, Woosung;Ahn, Hyunjun;Kim, Sunghun;Heo, Jun-Haeng
    • Journal of Korean Society of Disaster and Security
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    • v.8 no.1
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    • pp.21-27
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    • 2015
  • Recent researches show that climate change has impact on the rainfall process at different temporal and spatial scales. The present paper is focused on climate change impact on sub-daily rainfall quantile of Han River basin in South Korea. Climate change simulation outputs from ECHO-G GCM under the A2 scenario were used to estimate daily extreme rainfall. Sub-daily extreme rainfall was estimated using the scale invariance concept. In order to assess sub-daily extreme rainfall from climate change simulation outputs, precipitation time series were generated based on NSRPM (Neyman-Scott Rectangular Pulse Model) and modified using the ratio of rainfall over projection periods to historical one. Sub-daily extreme rainfall was then estimated from those series. It was found that sub-daily extreme rainfall in the future displayed increasing or decreasing trends for estimation methods and different periods.

A study on How to Improve the Professionalism Enhancement Program for Teachers in Charge of Energy and Climate Change Education Based on STEAM Perspectives (융합인재교육의 관점에서 에너지 및 기후변화 교육 연수 프로그램 개선 방안)

  • Lee, Sung-Hee;Shin, Dong-Hoon
    • Journal of Science Education
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    • v.36 no.1
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    • pp.22-34
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    • 2012
  • This study was aimed to discuss how to improve the professionalism enhancement program for teachers in charge of energy and climate change education based on STEAM perspectives. It analyzed the program according to the specialties of the teachers in charge of training, and identified the degree of professionalism enhancement of the participating teachers through the pre- and post-survey. Also, researchers described the strengths and weaknesses, opportunities and threats of this program that were found through the interviews with trainees by participating in the program in person. The results were as follows; First, teacher's training course in charge of energy and climate change education should be approached from the perspective of STEAM education. Second, teachers should have time to discuss their activities after they complete experience learning related with STEAM education. Third, it should be a 60-hour intensive course, but the burden for the teachers should be reduced by using online programs. Fourth, the training program should be planned based on the focus on improving the professionalism. Also, there should be enough time to prepare for the training program. Fifth, energy and climate change teacher training program should be practice-oriented, using hands-on experiences and experiments, in fusion education. Sixth, it would be better to run energy and climate change teacher training programs according to the level of schools. However, several courses could be mixed between different levels of schools.

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A Study of the Holocene Climate Change Using Humus Analysis of the Nam River Basin in Jinju, Southern Part of Korea (휴무스분석을 통한 진주 남강유역의 홀로세 기후 변화 연구)

  • Jung, Heakyung;Kim, Cheong Bin
    • Journal of the Korean earth science society
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    • v.33 no.6
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    • pp.510-518
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    • 2012
  • The Holocene climate change has been studied based on humus analysis of sediments that came from the Nam River basin in the Jinju, Gyeongnam. Humus and soil organic carbon analyses were performed to interpret the climate change and OSL dating and radiocarbon dating were conducted to determine the age of the sediments. The age determinations revealed that the sediments were formed approximately from $10,000{\pm}100$ yr. BP to $4,370{\pm}50$ yr. BP (2,970 BC) The deposits were classified into five layers based on sediments color and texture, and the climate change of each layer has been interpreted. The general climate was found out to be warm. The study result illustrated that section I was the lowest layer and section V the highest among the five surveyed sections. One the other hand, relatively cold events were detected in the sections ranging from I and II to III in terms of temperature. In term of humidity, sections II and III are estimated to have been relatively dry. Sections IV and V were relatively warm and dry, and the section IV tends to be warmest of the entire sedimentary. In addition, there is a tendency that the total soil organic carbon shows relatively high values under the cooler and humid climatic condition.

Prediction of Shift in Fish Distributions in the Geum River Watershed under Climate Change (기후변화에 따른 금강 유역의 어류 종분포 변화 예측)

  • Bae, Eunhye;Jung, Jinho
    • Ecology and Resilient Infrastructure
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    • v.2 no.3
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    • pp.198-205
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    • 2015
  • Impacts of climate change on aquatic ecosystems range from changes in physiological processes of aquatic organisms to species distribution. In this study, MaxEnt that has high prediction power without nonoccurrence data was used to simulate fish distribution changes in the Geum river watershed according to climate change. The fish distribution in 2050 and 2100 was predicted with RCP 8.5 climate change scenario using fish occurrence data (a total of 47 species, including 17 endemic species) from 2007 to 2009 at 134 survey points and 9 environmental variables (monthly lowest, highest and average air temperature, monthly precipitation, monthly lowest, highest and average water temperature, altitude and slope). The fitness of MaxEnt modeling was successful with the area under the relative operating characteristic curve (AUC) of 0.798, and environmental variables that showed a high level of prediction were as follows: altitude, monthly average precipitation and monthly lowest water temperature. As climate change proceeds until 2100, the probability of occurrence for Odontobutis interrupta and Acheilognathus yamatsuatea (endemic species) decreases whereas the probability of occurrence for Microphysogobio yaluensis and Lepomis macrochirus (exotic species) increases. In particular, five fish species (Gnathopogon strigatus, Misgurnus mizolepis, Erythroculter erythropterus, A. yamatsuatea and A. koreensis) were expected to become extinct in the Geum river watershed in 2100. In addition, the species rich area was expected to move to the northern part of the Geum river watershed. These findings suggest that water temperature increase caused by climate change may disturb the aquatic ecosystem of Geum river watershed significantly.

Evaluation of Climate Change between Agricultural Area and Urban Area in Jeonbuk Province, ROK (전북의 농경 지역과 도시 지역에서 기후변화 비교 평가)

  • Lee, Deog Bae;Shim, Kyo Moon;Kwon, Soon Ik
    • Journal of Climate Change Research
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    • v.2 no.1
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    • pp.33-42
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    • 2011
  • It was analyzed climatic data in Gimje, Buan, Iksan and Jeonju in Jeonbuk Province between 1930s and 1990s. The data source of Gimje and Iksan in 1930s were Namseon Agricultural Experimental Station. Those in 1990s was Honam Agricultural Research Institute, Rural Development Administration. The data source of Jeonju of 1930s and 1990s was Jeonju Weather Station, Korea Meteorological Administration. Weather Station of Gimje and Buan were located at the agricultural area in rural paddy field. That of Iksan was located at the agricultural area in suburban paddy field. That of Jeonju was located at the downtown area. As compared to mean air temperature between 1930s and 1990s, it was increased by $0.2^{\circ}C$ in agricultural area, $0.6^{\circ}C$ in Iksan city and $1.4^{\circ}C$ in Jeonju city. On the while, increased temperature was the higher in winter than other seasons. Annual precipitation was increased by 128.1 mm in agricultural area and 169.3 mm in Jeonju city. And it was remarkable in summer season.

Hydro-meteorological Characteristics in Season and Solar Term According to RCP Climate Change Scenarios (RCP 기후변화 시나리오에 따른 우리나라 계절 및 절기의 수문기상학적 특성 분석)

  • Oh, Miju;Kim, Jieun;Lee, Baesung;Kim, Tae-Woong
    • Journal of Wetlands Research
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    • v.24 no.4
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    • pp.288-300
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    • 2022
  • As industrialization and urbanization progress extensively, climate change is intensifying due to greenhouse gas emissions. In Korea, the average temperature increased, and the annual precipitation also increased due to climate change. In addition, the meaning of the solar term, which expresses seasons according to the movement of the sun, is also being overshadowed. Therefore, this study investigated the seasonal changes and solar-term changes of average temperature and precipitation observed in the past as well as simulated for future RCP climate change scenarios for five major regions (Capital Region, Gyeongsang, Chungcheong, Jeolla, and Gangwon). For the seasonal length, the length of summer became longer, the length of winter became shorter nationwide, and the precipitation in summer generally increased compared to the past. In the Chungcheong area, under the RCP 8.5 scenario, the length of summer increased by 46%, precipitation increased by 16.2%, and the length of winter decreased by 31.8% compared to the past. For the solar term, the temperature rose in all seasons. In the Chungcheong area, under the RCP 8.5 scenario, the temperature of major heat increased by 15.5%, and the temperature of major cold increased by 75.7% compared to the past. The overall results showed that the hydrological characteristics of the season and solar term were identified by region, which can be used as basic data to prepare policies to respond to climate change.

Estimation of Waxy Corn Harvest Date over South Korea Using PNU CGCM-WRF Chain (PNU CGCM-WRF Chain을 활용한 남한지역 찰옥수수 수확일 추정)

  • Hur, Jina;Kim, Yong Seok;Jo, Sera;Shim, Kyo Moon;Ahn, Joong-Bae;Choi, Myeong-Ju;Kim, Young-Hyun;Kang, Mingu;Choi, Won Jun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.405-414
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    • 2021
  • This study predicted waxy corn harvest date in South Korea using 30-year (1991-2020) hindcasts (1-6 month lead) produced by the Pusan National University Coupled General Circulation Model (PNU CGCM)-Weather Research and Forecasting (WRF) chain. To estimate corn harvest date, the cumulative temperature is used, which accumulated the daily observed and predicted temperatures from the seeding date (5 April) to the reference temperature (1,650~2,200℃) for harvest. In terms of the mean air temperature, the hindcasts with a bias correction (20.2℃) tends to have a cold bias of about 0.1℃ for the 6 months (April to September) compared to the observation (20.3℃). The harvest date derived from bias-corrected hindcasts (DOY 187~210) well simulates one from observation (DOY 188~211), despite a slight margin of 1.1~1.3 days. The study shows the possibility of obtaining the gridded (5 km) daily temperature and corn harvest date information based on the cumulative temperature in advance for all regions of South Korea.

Estimation of Future Long-Term Riverbed Fluctuations and Aggregate Extraction Volume Using Climate Change Scenarios: A Case Study of the Nonsan River Basin (기후변화시나리오를 이용한 미래 장기하상변동 및 골재 채취량 산정: 논산천을 사례로)

  • Dae Eop Lee;Min Seok Kim;Hyun Ju Oh
    • Economic and Environmental Geology
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    • v.57 no.2
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    • pp.107-117
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    • 2024
  • The objective of this study is to estimate riverbed fluctuations and the volume of aggregate extraction attributable to climate change. Rainfall-runoff modeling, utilizing the SWAT model based on climate change scenarios, as well as long-term riverbed fluctuation modeling, employing the HEC-RAS model, were conducted for the Nonsan River basin. The analysis of rainfall-runoff and sediment transport under the SSP5-8.5 scenario for the early part of the future indicates that differences in annual precipitation may exceed 600 mm, resulting in a corresponding variation in the basin's sediment discharge by more than 30,000 tons per year. Additionally, long-term riverbed fluctuation modeling of the lower reaches of the Nonsan Stream has identified a potential aggregate extraction area. It is estimated that aggregate extraction could be feasible within a 2.455 km stretch upstream, approximately 4.6 to 6.9 km from the confluence with the Geum River. These findings suggest that the risk of climate crises, such as extreme rainfall or droughts, could increase due to abnormal weather conditions, and the increase in variability could affect long-term aggregate extraction. Therefore, it is considered important to take into account the impact of climate change in future long-term aggregate extraction planning and policy formulation.

Agrometeorological Early Warning System: A Service Infrastructure for Climate-Smart Agriculture (농업기상 조기경보체계: 기후변화-기상이변 대응서비스의 출발점)

  • Yun, Jin I.
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.16 no.4
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    • pp.403-417
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    • 2014
  • Increased frequency of climate extremes is another face of climate change confronted by humans, resulting in catastrophic losses in agriculture. While climate extremes take place on many scales, impacts are experienced locally and mitigation tools are a function of local conditions. To address this, agrometeorological early warning systems must be place and location based, incorporating the climate, crop and land attributes at the appropriate scale. Existing services often lack site-specific information on adverse weather and countermeasures relevant to farming activities. Warnings on chronic long term effects of adverse weather or combined effects of two or more weather elements are seldom provided, either. This lecture discusses a field-specific early warning system implemented on a catchment scale agrometeorological service, by which volunteer farmers are provided with face-to-face disaster warnings along with relevant countermeasures. The products are based on core techniques such as scaling down of weather information to a field level and the crop specific risk assessment. Likelihood of a disaster is evaluated by the relative position of current risk on the standardized normal distribution from climatological normal year prepared for 840 catchments in South Korea. A validation study has begun with a 4-year plan for implementing an operational service in Seomjin River Basin, which accommodates over 60,000 farms and orchards. Diverse experiences obtained through this study will certainly be useful in planning and developing the nation-wide disaster early warning system for agricultural sector.