• Title/Summary/Keyword: 베이지안 계층적 모형

Search Result 32, Processing Time 0.017 seconds

A development of hierarchical bayesian model for changing point analysis at watershed scale (유역단위에서의 연강수량의 변동점 분석을 위한 계층적 Bayesian 분석기법 개발)

  • Kim, Jin-Guk;Kim, Jin-Young;Kim, Yoon-Hee;Kwon, Hyun-Han
    • Journal of Korea Water Resources Association
    • /
    • v.50 no.2
    • /
    • pp.75-87
    • /
    • 2017
  • In recent decades, extreme events have been significantly increased over the Korean Peninsula due to climate variability and climate change. The potential changes in hydrologic cycle associated with the extreme events increase uncertainty in water resources planning and designing. For these reasons, a reliable changing point analysis is generally required to better understand regime changes in hydrologic time series at watershed scale. In this study, a hierarchical changing point analysis approach that can apply in a watershed scale is developed by combining the existing changing point analysis method and hierarchical Bayesian method. The proposed model was applied to the selected stations that have annual rainfall data longer than 40 years. The results showed that the proposed model can quantitatively detect the shift in precipitation in the middle of 1990s and identify the increase in annual precipitation compared to the several decades prior to the 1990s. Finally, we explored the changes in precipitation and sea level pressure in the context of large-scale climate anomalies using reanalysis data, for a given change point. It was concluded that the identified large-scale patterns were substantially different from each other.

Assessing the public preference and acceptance for renewable energy participation initiatives - focusing on photovoltaic power (재생에너지 사업 참여에 대한 국민 선호와 수용성 분석 - 태양광 발전을 중심으로)

  • Ham, AeJung;Kang, SeungJin
    • Journal of Energy Engineering
    • /
    • v.27 no.4
    • /
    • pp.36-49
    • /
    • 2018
  • This study analyzed the public preference and acceptance regarding renewable energy projects through Choice Based Conjoint Analysis. The results show that the surveyed respondents consider the leading authority of the projects, as the most important factor when considering participating in renewable energy initiatives. Following this, the mode of participation and profit distribution and the power plant location are also viewed as important, whereas participation through decision making regarding the projects was less important. Also when participating in renewable energy projects, respondents tend to prefer to financially participating through loans or owning shares rather than volunteering support for the business such as sharing information, stating one's views, or providing cooperation and coordination. Therefore, the focus is on distributional justice, such as financial investment and profit distribution, rather than procedural justice, for instance decision making. When analyzing the part-worths utilities for the participation attribute, the respondents most preferred to receiving dividends based on earnings by owning shares with the local government in charge of the entire projects. As a consequence, the results suggest that it is important to have local government get involved and have trust-worthy governing systems in place for the initiation of the public participating-renewable energy projects.