• Title/Summary/Keyword: climate system

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Improving industrial safety in small business: from the socio-psychological point of view (중소기업의 산업안전 제고방안 - 사회심리적 접근을 중심으로 -)

  • An Gwan Yeong
    • Proceedings of the Safety Management and Science Conference
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    • 2004.11a
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    • pp.183-188
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    • 2004
  • Recently occupational safety and health literatures begin to emphasize the influence of social, organizational or psychological context. Based on this research trend, this paper tried to review the relationship between safety climates and safety compliance. Based on the responses from 385 manufacturing workers, this paper reviewed the relationships among safety climates, safety motivation, and safety compliance. The results of statistical analysis showed that all safety climate factors(management involvement, leadership, safety training, precaution activities, safety system) have affirmative effects on safety motivation and safety compliance. Also, safety motivation appeared to have mediating effects on the relationship between 5 safety climate factors and safety compliance. Especially it appeared to have full mediating effects on the relationship between safety training/ safety system and safety compliance.

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Deep Dependence in Deep Learning models of Streamflow and Climate Indices

  • Lee, Taesam;Ouarda, Taha;Kim, Jongsuk;Seong, Kiyoung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.97-97
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    • 2021
  • Hydrometeorological variables contain highly complex system for temporal revolution and it is quite challenging to illustrate the system with a temporal linear and nonlinear models. In recent years, deep learning algorithms have been developed and a number of studies has focused to model the complex hydrometeorological system with deep learning models. In the current study, we investigated the temporal structure inside deep learning models for the hydrometeorological variables such as streamflow and climate indices. The results present a quite striking such that each hidden unit of the deep learning model presents different dependence structure and when the number of hidden units meet a proper boundary, it reaches the best model performance. This indicates that the deep dependence structure of deep learning models can be used to model selection or investigating whether the constructed model setup present efficient or not.

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The Impacts of Climate Change on Paddy Water Demand and Unit Duty of Water using High-Resolution Climate Scenarios (고해상도 기후시나리오를 이용한 논용수 수요량 및 단위용수량의 기후변화 영향 분석)

  • Yoo, Seung-Hwan;Choi, Jin-Yong;Lee, Sang-Hyun;Oh, Yun-Gyeong;Park, Na-Young
    • Journal of The Korean Society of Agricultural Engineers
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    • v.54 no.2
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    • pp.15-26
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    • 2012
  • For stable and sustainable crop production, understanding the effects of climate changes on agricultural water resources is necessary to minimize the negative effects which might occur due to shifting weather conditions. Although various studies have been carried out in Korea concerning changes in evapotranspiration and irrigation water requirement, the findings are still difficult to utilize fordesigning the demand and unit duty of water, which are the design criteria of irrigation systems. In this study, the impact analysis of climate changes on the paddy water demand and unit duty of water was analyzed based on the high resolution climate change scenarios (specifically under the A1B scenario) provided by the Korea Meteorological Administration. The result of the study indicated that average changes in the paddy water demand in eight irrigation districts were estimated as -2.4 % (2025s), -0.2 % (2055s), and 3.2 % (2085s). The unit duty of water was estimated to increase on an average within 2 % during paddy transplanting season and within 5 % during growing season after transplanting. This result could be utilized for irrigation system design, agricultural water resource development, and rice paddy cultivation policy-making in South Korea.

The Perception about the Climate of the Korean Peninsula by Westerners Visited in Enlightenment Period (1876~1910) (개화기(1876~1910) 서양인이 본 한반도 기후 해석)

  • Shin, Jieun;Chun, Youngsin;Kwon, Won-Tae
    • Journal of Climate Change Research
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    • v.3 no.3
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    • pp.161-181
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    • 2012
  • The Enlightenment period (1876~1910) of Joseon was the age of turbulence in terms of introduction of the Western science and technology. The interaction of modern and oriental science in the enlightenment period can be got insights from the records of Westerners. This study especially focuses to the viewpoints of Western visitors toward the weather and climate of the Korean peninsula. As a result, there are three characteristics in Westerners' awareness of Korean climate: quantitative records using numeric; interpretation of weather in the system of the modern science; and the distinct records about rainfall. In conclusion, from these result, it can be suggested that the Western visitors systematically grasped the climate of Korean peninsula.

Accuracy Comparison of Air Temperature Estimation using Spatial Interpolation Methods according to Application of Temperature Lapse Rate Effect (기온감률 효과 적용에 따른 공간내삽기법의 기온 추정 정확도 비교)

  • Kim, Yong Seok;Shim, Kyo Moon;Jung, Myung Pyo;Choi, In Tae
    • Journal of Climate Change Research
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    • v.5 no.4
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    • pp.323-329
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    • 2014
  • Since the terrain of Korea is complex, micro- as well as meso-climate variability is extreme by locations in Korea. In particular, air temperature of agricultural fields is influenced by topographic features of the surroundings making accurate interpolation of regional meteorological data from point-measured data. This study was carried out to compare spatial interpolation methods to estimate air temperature in agricultural fields surrounded by rugged terrains in South Korea. Four spatial interpolation methods including Inverse Distance Weighting (IDW), Spline, Ordinary Kriging (with the temperature lapse rate) and Cokriging were tested to estimate monthly air temperature of unobserved stations. Monthly measured data sets (minimum and maximum air temperature) from 588 automatic weather system(AWS) locations in South Korea were used to generate the gridded air temperature surface. As the result, temperature lapse rate improved accuracy of all of interpolation methods, especially, spline showed the lowest RMSE of spatial interpolation methods in both maximum and minimum air temperature estimation.

The Effect of organizational safety climate at Air Traffic controller's safety behavior (조직의 안전분위기가 항공교통관제사의 안전행동에 미치는 영향)

  • Lee, Hyo-sang;Park, Jin-Woo
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.27 no.1
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    • pp.10-19
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    • 2019
  • As a domestic aviation industry has been growing continuously, the air traffic volume of en-route has increased rapidly to 2,300 a day. According to developing air navigation system including Performance Based Navigation(PBN), the manner of flights has diversified. Consequentially task of air traffic service has been increasing more and more and the organization of Air Traffic Service(ATC) established one Air traffic management Office(ATMO), extends to 3 Regional organization(Seoul, Busan, Jeju) and a number of air traffic controller exceeds 600. The purpose of this research is going to investigate the relationship between organization's safety climate and air traffic controller's safety behavior, In pursuing above, previous studies related to co-worker and supervisor's safety climate were examined for literature review. Based on this previous studies, research model was constructed. Hypothesis was verified by effect. Data from 209 samples was employed for final survey. The main results show that co-worker and supervisor's safety climate were meaningful factors to effect perceived Safety Behavior and safety knowledge, safety motivation were significantly and positive related to safety compliance.

The Effects of Climate Elements on Heat-related Illness in South Korea (기후요소가 온열질환자수에 미치는 영향)

  • Jeong, Daeun;Lim, Sook Hyang;Kim, Do-Woo;Lee, Woo-Seop
    • Journal of Climate Change Research
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    • v.7 no.2
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    • pp.205-215
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    • 2016
  • The relationship between the climate and the number of heat-related patients in South Korea was analysed in this study. The number of the patients was 1,612 during the summer 2011 to 2015 according to the Heat-related Illness (HRI) surveillance system. The coefficient of determination between the number of the patients and the daily maximum temperature was higher than that between the number of them and the other elements: the daily mean/minimum temperature and relative humidity. The thresholds of daily maximum and minimum temperature in metropolitan cities (MC) were higher than those in regions except for MC (RMC). The higher the maximum and minimum temperature became, the more frequently the heat-related illness rate was observed. The regional difference of this rate was that the rate in RMC was higher than that in MC. Prolonged heat wave and tropical night tended to cause more patients, which continued for 20 days and 31 days of maximum values, respectively. On the other hand, the relative humidity was not proportional to the number of the patients which was rather decreasing at over 70% of relative humidity.

The Impact of Ethical Leadership on Employees Turnover Intention: An Empirical Study of the Banking Sector in Malaysia

  • SALEH, Tajneen Affnaan;MEHMOOD, Wajid;KHAN, Jehanzeb;JAN, Farman Ullah
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.2
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    • pp.261-272
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    • 2022
  • The purpose of this paper is to investigate the influence of ethical leadership in determining the organizations' individual-type ethical climate (self-interest, friendship, and personal morality ethical climate) in reducing employee turnover intention. It seeks to identify the role of individual-type climate in mediating the association between ethical leadership and employee turnover intention. Moreover, the moderation effect of emotional exhaustion among employees on the relationship between ethical leadership and turnover intention has been researched to establish the ethical degree of leadership. Using a sample of 260 questionnaires from employees working full-time in the banking sector, the results were analyzed in PLS-SEM. The results of the social exchange theory indicated that ethical leadership is vital in shaping the workplace's individual-type ethical climate and reducing employees' turnover intention. The findings demonstrate that the relationship between ethical leadership and turnover intention is mediated by an individual-type ethical climate, which means that employees in a positive ethical climate do not wish to leave immediately. Furthermore, emotional exhaustion was found to moderate the association between ethical leadership and employees' turnover intention under high emotional exhaustion, where low ethical leadership is experienced, reporting higher levels of turnover intention.