• Title/Summary/Keyword: climate factor

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Insolation Modeling using Climate and Geo-Spatial Elements (기후요소와 지형 공간요소를 이용한 일사량 모델링)

  • Kim, Byung-Woo;Kang, In-Joon;Han, Ki-Bong
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.4
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    • pp.79-86
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    • 2010
  • This research is a thing about reverse operation about the solar power for location decision and increasing efficiency of the solar power generation equipments. The purpose of this research is reverse operation about the amount of sunshine using the climate and spatial elements. Following the result of correlation analysis, the wind-speed and cloud-amount factor are excluded, because the correlation and significance coefficients are out of value. Each outcome of regression analysis using the other four climate elements, and regression analysis using spatial elements is what the amount of sunshine and the solar altitude are the most influence to the insolation-modeling. Doing the regression analysis based on the precedent result make the result that climate elements have bigger coefficient of regression than spatial elements. This outcome means the climate elements are more influence than spatial elements.

Development of an Instrument for Measuring Action Competence on Climate Change within High School Students (고등학생 기후변화 대응 실천역량 검사도구의 개발)

  • Baek, Seongheui;Shin, Hyeonjeong;Kim, Chan-Jong
    • Journal of The Korean Association For Science Education
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    • v.41 no.6
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    • pp.533-542
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    • 2021
  • This study aims to develop an instrument for measuring high school students' action competence on climate change (ACoCC). The instrument is defined as the construct comprised of seven factors and thirty-five items and takes approximately 15 minutes to fill out. A panel of experts and students' content validation were undertaken to modify the items. Five hundred and twenty-eight first and second graders in Korean high schools participated in the instrument survey. To assess the reliability and validity of ACoCC instrument, item analysis (mean, skewness, kurtosis, item-total correlation), internal consistency estimate, and confirmatory factor analysis were used. It was appropriate to use the 7-dimensional ACoCC instrument (knowledge about climate change, climate change sensibility, reflection, communication, integrated thinking, willingness, decision making), with 35 items for high school students. The following instrument was self-report given in the 5-point Likert scale (1=strongly disagree, 2=disagree, 3=neutral, 4=agree, 5=strongly agree). The internal consistency coefficient was shown as a whole was shown as 0.953, and the subscale's internal consistency coefficient ranged from 0.786 to 0.862.

Development of Evaluation Model of Pumping and Drainage Station Using Performance Degradation Factors (농업기반시설물 양·배수장의 성능저하 요인분석 및 성능평가 모델 개발)

  • Lee, Jonghyuk;Lee, Sangik;Jeong, Youngjoon;Lee, Jemyung;Yoon, Seongsoo;Park, Jinseon;Lee, Byeongjoon;Lee, Joongu;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.4
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    • pp.75-86
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    • 2019
  • Recently, natural disasters due to abnormal climates are frequently outbreaking, and there is rapid increase of damage to aged agricultural infrastructure. As agricultural infrastructure facilities are in contact with water throughout the year and the number of them is significant, it is important to build a maintenance management system. Especially, the current maintenance management system of pumping and drainage stations among the agricultural facilities has the limit of lack of objectivity and management personnel. The purpose of this study is to develop a performance evaluation model using the factors related to performance degradation of pumping and drainage facilities and to predict the performance of the facilities in response to climate change. In this study, we focused on the pumping and drainage stations belonging to each climatic zone separated by the Korea geographical climatic classification system. The performance evaluation model was developed using three different statistical models of POLS, RE, and LASSO. As the result of analysis of statistical models, LASSO was selected for the performance evaluation model as it solved the multicollinearity problem between variables, and showed the smallest MSE. To predict the performance degradation due to climate change, the climate change response variables were classified into three categories: climate exposure, sensitivity, and adaptive capacity. The performance degradation prediction was performed at each facility using the developed performance evaluation model and the climate change response variables.

Development of Greenhouse Gas Emission Factors from Sewage Sludge Incinerator (하수슬러지 소각장의 온실가스 배출계수 개발)

  • Kim, Seungjin;Kang, Seongmin;Kang, Soyoung;Lee, Jeongwoo;Sa, Jae-Hwan;Park, Seong-Jin;Jeon, Eui-Chan
    • Journal of Climate Change Research
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    • v.5 no.3
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    • pp.209-218
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    • 2014
  • In this study, the researchers have developed the greenhouse gas emission coefficients targeted at sewage sludge incineration plants that treat sewage sludge by incineration. Among the gases emitted from the sewage sludge incineration plants, the greenhouse gases showed concentrations of 6.84% for $CO_2$, 4.51 ppm for $CH_4$, and 86.34 ppm for $N_2O$; calculated into greenhouse gas emission coefficients, these gave $276.06kg\;CO_2/ton$, $0.0066kg\;CH_4/ton$, and $0.35kg\;N_2O/ton$. As the result of calculating the greenhouse gas emission quantity in sewage sludge incineration plants using the greenhouse gas emission coefficients, the gross greenhouse gas emission was $84.63ton\;CO_2\;eq./day$, and the net emission was $23.90ton\;CO_2\;eq./day$; this was $37.52ton\;CO_2\;eq./day$ less than the net greenhouse gas emission that was calculated using the standard values of IPCC, which was $61.42ton\;CO_2\;eq./day$. This difference is probably because unlike the standard values of IPCC, the greenhouse gas emission coefficients of this study reflected the special properties of subject facilities. Thus, it is thought that emission coefficient research on the facilities that deviated from the standard values of IPCC should continue to achieve the development of national greenhouse gas coefficient that reflects the special properties of Korea.

Predicting the potential distribution of the subalpine broad-leaved tree species, Betula ermanii Cham. under climate change in South Korea

  • Shin, Sookyung;Dang, Ji-Hee;Kim, Jung-Hyun;Han, Jeong Eun
    • Journal of Species Research
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    • v.10 no.3
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    • pp.246-254
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    • 2021
  • Subalpine and alpine ecosystems are especially vulnerable to temperature increases. Betula ermanii Cham. (Betulaceae) is a dominant broad-leaved tree species in the subalpine zone and is designated as a 'Climate-sensitive Biological Indicator Species' in South Korea. This study aimed to predict the potential distribution of B. ermanii under current and future climate conditions in South Korea using the MaxEnt model. The species distribution models showed an excellent fit (AUC=0.99). Among the climatic variables, the most critical factors shaping B. ermanii distribution were identified as the maximum temperature of warmest month (Bio5; 64.8%) and annual mean temperature (Bio1; 20.3%). Current potential habitats were predicted in the Baekdudaegan mountain range and Mt. Hallasan, and the area of suitable habitat was 1531.52 km2, covering 1.57% of the Korean Peninsula. With global warming, future climate scenarios have predicted a decrease in the suitable habitats for B. ermanii. Under RCP8.5-2070s, in particular, habitat with high potential was predicted only in several small areas in Gangwon-do, and the total area suitable for the species decreased by up to 97.3% compared to the current range. We conclude that the dominant factor affecting the distribution of B. ermanii is temperature and that future temperature rises will increase the vulnerability of this species.

Exploring the Complexities of Dams' Impact on Transboundary Flow: A Meta-Analysis of Climate and Basin Factors

  • Abubaker Omer;Hyungjun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.177-177
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    • 2023
  • The impacts of dams on transboundary flow are complex and challenging to project and manage, given the potential moderating influence of a broad range of anthropogenic and natural factors. This study presents a global meta-analysis of 168 studies that examines the effect magnitude of dams on downstream seasonal, annual flow, and hydrological extremes risk on 39 hotspot transboundary river basins. The study also evaluates the impact of 13 factors, such as climate, basin characteristics, dams' design and types, level of transboundary cooperation, and socioeconomic indicators, on the heterogeneity of outcomes. The findings reveal that moderators significantly influence the impact of dams on downstream flow, leading to considerable heterogeneity in outcomes. Transboundary cooperation emerges as the key factor that determines the severity of dams' effect on both dry and wet season's flows at a significance level of 0.01 to 0.05, respectively. Specifically, the presence of water-supply and irrigation dams has a significant (0.01) moderating effect on dry-season flow across basins with high transboundary cooperation. In contrast, for wet-season flow, the basin's vulnerability to climate extremes is associated with a large negative effect size. The various moderators have varying degrees of influence on the heterogeneity of outcomes, with the aridity index, population density, GDP, and risk level of hydro-political tension being the most significant factors for dry-season flow, and the risk level of hydro-political tension and basin vulnerability to climate extremes being the most significant for wet-season flow. The results suggest that transboundary cooperation is crucial for managing the impacts of dams on downstream flow, and that various other factors, such as climate, basin characteristics, and socioeconomic indicators, have significant moderating effects on the outcomes. Thus, context-specific approaches are necessary when predicting and managing the impacts of dams on transboundary flow.

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Development of a School Multicultural Climate Scale (학교다문화분위기 척도개발 연구)

  • Ko, Kyung-Eun
    • Korean Journal of Social Welfare Studies
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    • v.41 no.4
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    • pp.345-368
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    • 2010
  • The purpose of this study is to develop the School Multicultural Climate(SMC) scale for students and to evaluate its reliability and validity. This study comprises of both qualitative and quantitative research. Preliminary items were developed based on the theoretical literature and interviews with students. The scale was evaluated with students in grades 4 through 6 in the seven elementary schools. Exploratory factor analysis was determined that the scale was composed of four components: Equal Status, Mutual Cooperation, Friendly Relations, Supportive Norms. The scale demonstrated that Cronbach's alpha=.943 for the internal consistency of total items. And the standard error of the measurement, another way of evaluating reliability, was 3.33. Criteria-related validity was evaluated by showing that the differences of the students' recognition of the school multicultural climate level, which depend on the availability of the multiculture-related policy, was statistically significant. The correlation analysis for the convergent validity was performed with the theoretically related variables such as self esteem and school adjustment. It was found that the SMC scale was a reliable and valid measure for evaluating the multicultural climate level of elementary school.

Analyzing Carbon-Neutral Campus Development Measures through Recognition Analysis of Students - Focused on Chungbuk National University - (학생 설문조사를 통한 탄소중립캠퍼스 조성요인 분석 - 충북대학교 재학생을 대상으로 -)

  • Woo, Hye-Mi;Baek, Jong-In;Kwak, Joo-Hyeon;Min, Suk-Gi;Choi, Choel-Gyu;Ban, Yong-Un
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.13 no.4
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    • pp.1-9
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    • 2010
  • In response to climate change under a university level, this study has intended to find carbon-neutral campus development measures for Chungbuk National University (CBNU), which is composed of such facilities as education, research, and residential buildings. To reach this goal, we reviewed related literatures to find development measures for carbon neutral campus, employed a survey method asking students to show their preference and suitability toward provided measures, and statistical analyses to find appropriate measures using factor analysis. We have found the following results. First, based on literature review, we have identified several concepts regarding carbon-neutral city and has found the elements of carbon-neutral campus development. Second, we have drawn carbon-neutral campus development measures of CBNU through factor analysis. Finally, based on the characteristics and the present carbon-neutral campus conditions of the CBNU, we presented development measures.

Evaluation of Typical Solar Radiation Data by the TRY Methodology (TRY 방법론에 의한 표준일사량데이터 평가)

  • Yoo, Ho-Chun;Lee, Gwan-Ho;Kim, Kyoung-Ryul;Park, So-Hee
    • KIEAE Journal
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    • v.7 no.6
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    • pp.23-28
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    • 2007
  • Limited fossil fuels and unstable energy supply are considered as one of the critical problems in architecture requiring large amounts of energy. In order to this challenge, environment-friendly architecture design is required. Clear data should be prepared to apply solar energy to architecture aggressively and properly. This study used FS statistical analysis data regarding average daily solar radiation of Seoul observed over 20 years to find out standard year and standard daily solar radiation. This study also aims to compare and evaluate an appropriate method of selecting a standard year which is too close to measurement value through comparison and analysis with daily solar radiation acquired by applying overseas researchers' suggesting weight factor. As a result, the data nearest to measurement value of daily solar radiation was UK CIBSE TRY(TYPE 2) displaying 0.100in t-statistic index. For UK CIBSE TRY(TYPE 2), weight factor was applied to three climatic elements except relative humidity. TYPE 1 and TYPE 3 recorded 0.343 and 0.367, respectively, showing higher record of t-statistic than TYPE 2. TYPE 1 was calculated through FS statistical value of single data about daily solar radiation with other climatic elements excluded. For TYPE 3, relative humidity was added to TYPE 2. In particular, since TYPE 2 was closer to the measurement value compared to the others, it is necessary to consider relationship with other climate elements if other climate elements are added.

A study of a plan for better curing methods through a reseach for a field of construction work (동절기 콘크리트 양생방법의 현장 실태조사 및 개선방안에 관한 연구)

  • Park Sung-June;Moon Hyung-Soo;Kim Chang-Duk
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.379-382
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    • 2003
  • Construction concrete needs to maintain suitable environment which contains temperature and humidity etc. Then concrete shows own strength. The environment is not regular and contains many variables. Especially the climate element occupies many parts of variables. We have the climate environment which goes down to $-4^{\circ}C$. The factor that obstruct to construction is the failure at a construction progress. But it must be processed to be scheduled. Therefore we have to do the special care for factor of climate that obstruct to construction. We must make assurance doubly sure at the quality of concrete. We need maintenance of temperature and humidity for the hardening until the requirement period after a concrete pured in. We must do the care of curing sufficiently not to take the influence of injurious activity. This causes strength of concrete. Specific method of curing is according to each situation which is environment element. We wish to analyze curing course in construction of concrete at the paper. Also we wish to predict the problem as to consider curing and suggest the improvement plan through the paper.

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