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Impacts and Vulnerability Assessment of Landslides to Climate Change in Various Scales : 다양한 규모에서의 기후변화에 따른 산사태 영향 및 취약성 평가

DC Field Value Language
dc.contributor.advisor이동근-
dc.contributor.author김호걸-
dc.date.accessioned2017-07-14T05:37:35Z-
dc.date.available2017-07-14T05:37:35Z-
dc.date.issued2017-02-
dc.identifier.other000000140821-
dc.identifier.urihttps://hdl.handle.net/10371/124986-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 조경학, 2017. 2. 이동근.-
dc.description.abstractRepublic of Korea has increasingly experienced extreme weather events such as typhoons or heavy rainfall because of climate change. Extreme weather events result in damage in different forms, among which damage caused by landslide occurs every year. Landslide not only damages property but also causes human loss and calls for imperative adaptive measures to prevent or reduce damage. Currently, studies that seek to identify landslide-prone regions and high-priority areas that need adaptive measures are becoming important field.
Impact of climate change is found on a variety of scales and in many regions, and yet, adaptive measures have been taken in different forms at the levels of nation, province, and county. Data and evaluation of the impact of climate change can differ to the scales of study target. Thus, proper method also differ to scale when assessing the impact of climate change. The purpose of this study is, in this sense, to develop and apply a methodology for different scales—central government, province, and counties—to evaluate the impact of and vulnerability to climate change on the occurrence of landslides.
The research developed a methodology and framework for finding vulnerable and hazard areas considering different scales and available data. At the national level, the study evaluated many items including landslide and found key vulnerable regions, which the central government needs to priority for support. At the provincial level, the study analyzed areas prone to landslide in Gangwon-do Province from the present to the future and found out specific regions that need adaptive measures. At the county level, Inje-gun of Gangwon-do Province was assessed by 10 models to investigate high-risk areas with uncertainties of models, and the uncertainties were quantified to assist establishing more effective adaptive measures.
This study seeks to propose a method that can support decision-makers in establishing adaptation measures against climate change, by developing and applying a viable methodology and framework that can tailor to each users objective and available data for evaluating the impact of climate change. The results would be help for establishing adaptive measures to reduce damage from landslide and evaluating the impact of and vulnerability to climate change by governments of different scales.
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dc.description.tableofcontents1.INTRODUCTION 1
2.CHAPTER 1 : Climate Change Vulnerability and Impact Assessment for Republic of Korea 3
2.1.Introduction 3
2.2.Methods 4
2.3.Results and discussion 12
2.4.Conclusion 27
3.CHAPTER 2 : Evaluating Landslide Impact Assessment Considering Climate Change for Gangwon-do 30
3.1.Introduction 30
3.2.Methods 33
3.3.Results 38
3.4.Discussion 51
3.5.Conclusion 52
4.CHAPTER 3 : Estimating Landslide Susceptibility Areas in Consideration of the Uncertainty Inherent in Modeling Results 54
4.1.Introduction 54
4.2.Methods 56
4.3.Results and discussion 66
4.4.Conclusion 76
5.DISCUSSION AND CONCLUSION 79
6.REFERENCES 81
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dc.formatapplication/pdf-
dc.format.extent5347166 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectStatistical distribution models-
dc.subjectRCP climate change scenarios-
dc.subjectLandslide susceptibility-
dc.subjectUncertainty-
dc.subject.ddc712-
dc.titleImpacts and Vulnerability Assessment of Landslides to Climate Change in Various Scales-
dc.title.alternative다양한 규모에서의 기후변화에 따른 산사태 영향 및 취약성 평가-
dc.typeThesis-
dc.contributor.AlternativeAuthorHo Gul Kim-
dc.description.degreeDoctor-
dc.citation.pages118-
dc.contributor.affiliation환경대학원 협동과정 조경학-
dc.date.awarded2017-02-
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