Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 土木工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56334
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor游景雲(Jiing-Yun You)
dc.contributor.authorChe-Ming Hsuen
dc.contributor.author許哲明zh_TW
dc.date.accessioned2021-06-16T05:23:56Z-
dc.date.available2017-08-25
dc.date.copyright2014-08-25
dc.date.issued2014
dc.date.submitted2014-08-15
dc.identifier.citationREFERENCES
Alexander, D. (2000). Scenario methodology for teaching principles of emergency management. Disaster Prevention and Management, 9(2), 89-97.
Athanasiadis, I. N. (2005). A Hybrid Agent-Based Model for Estimating Residential Water Demand. Simulation, 81(3), 175-187. doi: 10.1177/0037549705053172
Barreteau, O., Bousquet, F., & Attonaty, J.-M. (2001). Role-playing games for opening the black box of multi-agent systems: method and lessons of its application to Senegal River Valley irrigated systems. Journal of artificial societies and social simulation, 4(2), 5.
Barreteau, O., Garin, P., Dumontier, A., Abrami, G., & Cernesson, F. (2003). Agent-based facilitation of water allocation: case study in the Drome river valley. Group Decision and Negotiation, 12(5), 441-461.
Becu, N., Perez, P., Walker, A., Barreteau, O., & Page, C. L. (2003). Agent based simulation of a small catchment water management in northern Thailand. Ecological Modelling, 170(2-3), 319-331. doi: 10.1016/s0304-3800(03)00236-9
Benouar, D., & Mimi, A. (2001). Improving emergency management in algeria. Paper presented at the Global Alliance International Workshop on Disaster Reduction.
Berger, T. (2001). Agent‐based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural economics, 25(2‐3), 245-260.
Berger, T., Birner, R., McCarthy, N., DiAz, J., & Wittmer, H. (2006). Capturing the complexity of water uses and water users within a multi-agent framework. Water Resources Management, 21(1), 129-148. doi: 10.1007/s11269-006-9045-z
Booker, J. F., Howitt, R. E., Michelsen, A. M., & Young, R. A. (2012). Economics and the modeling of water resources and policies. Natural Resource Modeling, 25(1), 168-218.
Bousquet, F., Barreteau, O., Le Page, C., Mullon, C., & Weber, J. (1999). An environmental modelling approach: the use of multi-agent simulations. Advances in environmental and ecological modelling, 113, 122.
Characklis, G. W., Griffin, R. C., & Bedient, P. B. (1999). Improving the ability of a water market to efficiently manage drought. Water Resources Research, 35(3), 823-831. doi: 10.1029/1998wr900094
Chu, J., Wang, C., Chen, J., & Wang, H. (2009). Agent-Based Residential Water Use Behavior Simulation and Policy Implications: A Case-Study in Beijing City. Water Resources Management, 23(15), 3267-3295. doi: 10.1007/s11269-009-9433-2
Davis, D. (2000). Agent-based decision-support framework for water supply infrastructure rehabilitation and development. Computers, Environment and Urban Systems, 24(3), 173-190.
DHA, U. (1992). Internationally agreed glossary of basic terms related to disaster management. UN DHA (United Nations Department of Humanitarian Affairs), Geneva.
Dilley, M. (2005). Natural disaster hotspots: a global risk analysis (Vol. 5): World Bank Publications.
Draper, A. J., Jenkins, M. W., Kirby, K. W., Lund, J. R., & Howitt, R. E. (2003). Economic-engineering optimization for California water management. Journal of water resources planning and management, 129(3), 155-164.
Evans, T. P., & Kelley, H. (2004). Multi-scale analysis of a household level agent-based model of landcover change. J Environ Manage, 72(1-2), 57-72. doi: 10.1016/j.jenvman.2004.02.008
Fitoussi, D., & Tennenholtz, M. (2000). Choosing social laws for multi-agent systems: Minimality and simplicity. Artificial Intelligence, 119(1), 61-101.
Galan, J. M., Lopez-Paredes, A., & del Olmo, R. (2009). An agent-based model for domestic water management in Valladolid metropolitan area. Water Resources Research, 45(5), n/a-n/a. doi: 10.1029/2007wr006536
Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W. M., Railsback, S. F., . . . DeAngelis, D. L. (2005). Pattern-oriented modeling of agent-based complex systems: lessons from ecology. science, 310(5750), 987-991.
Hammer, T. R. (1972). Stream channel enlargement due to urbanization. Water Resources Research, 8(6), 1530-1540.
Kron, W. (2002). Keynote lecture: Flood risk= hazard× exposure× vulnerability. Proceedings of the Flood Defence.
Lee, H.-L., & Mays, L. W. (1986). Hydraulic uncertainties in flood levee capacity. Journal of Hydraulic Engineering, 112(10), 928-934.
Ligon, E. (2008). Risk sharing. New Palgrave Dictionary of Economics. Palgrave Macmillan.
Lund, J. R., Cai, X., & Characklis, G. W. (2006). Economic engineering of environmental and water resource systems. Journal of water resources planning and management, 132(6), 399-402.
Onn, S., & Tennenholtz, M. (1997). Determination of social laws for multi-agent mobilization. Artificial Intelligence, 95(1), 155-167.
Pande, S., & McKee, M. (2007). Valuing certainty in a consensus-based water allocation mechanism. Water Resources Research, 43(2), n/a-n/a. doi: 10.1029/2004wr003890
Plate, E. J. (2002). Flood risk and flood management. Journal of Hydrology, 267(1), 2-11.
Reuss, M. (2003). Is it time to resurrect the Harvard Water Program? Journal of water resources planning and management, 129(5), 357-360.
Rosegrant, M. W., Ringler, C., McKinney, D. C., Cai, X., Keller, A., & Donoso, G. (2000). Integrated economic‐hydrologic water modeling at the basin scale: The Maipo River basin. Agricultural economics, 24(1), 33-46.
Rothschild, M., & Stiglitz, J. E. (1970). Increasing risk: I. A definition. Journal of Economic theory, 2(3), 225-243.
Stedinger, J. R., & Taylor, M. R. (1982). Synthetic streamflow generation: 2. Effect of parameter uncertainty. Water Resources Research, 18(4), 919-924.
Su, Y.-C., Mays, L. W., Duan, N., & Lansey, K. E. (1987). Reliability-based optimization model for water distribution systems. Journal of Hydraulic Engineering, 113(12), 1539-1556.
Tsur, Y., & Dinar, A. (1997). The relative efficiency and implementation costs of alternative methods for pricing irrigation water. The World Bank Economic Review, 11(2), 243-262.
Tung, Y. K., & Mays, L. W. (1981). Risk models for flood levee design. Water Resources Research, 17(4), 833-841.
WHO. (2010). World health statistics 2010: World Health Organization.
You, J. Y., & Cai, X. (2008). Hedging rule for reservoir operations: 1. A theoretical analysis. Water Resources Research, 44(1).
Zhao, J., Cai, X., & Wang, Z. (2013). Comparing administered and market-based water allocation systems through a consistent agent-based modeling framework. J Environ Manage, 123, 120-130. doi: 10.1016/j.jenvman.2013.03.005
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56334-
dc.description.abstract水,是世界上一切生命不可缺少的資源。現今,在面對各種氣候和社會經濟挑戰下,以水為基礎的資源管理成為一個顯著的問題,且鑒於自然和水文過程之不確定性,使我們對於複雜、高效率水資源管理實踐,變得更加困難。因此有效的風險分擔機制,成為解決用水短缺或洪水的關鍵。本研究旨在探討風險分擔機制於水資源管理的概念與應用。故本研究開發了一個概念模式,討論兩個與水有關的異構利益相關者的風險承擔行為。基於風險分擔的理論,本研究將藉由模擬,釐清這不確定情形下之結果。透過檢視各利益相關方的獲利與損失,本研究試圖提供一個基於風險下,更好的決策與政策制定過程。對於有限資源分配問題能有更好解答,提供兩個利益相關者一個公平、合理、互利的解決方案。透過此種方式,決策者可以透過增進水資源相關公部門的管理效率來增進社會大眾之福祉。zh_TW
dc.description.abstractWater is an essential resource for all forms of life in the world. Facing various climate and social-economic challenges, the management of water-based resources becomes a significant issue nowadays. However, the inherent uncertainty of nature and hydrological processes could complicate the practices of efficient water resources management. Efficient risk sharing mechanism is critical for dealing with water shortages or flood. This study aims to investigate the concept and application of risk sharing mechanism of in water resources management. The study develops a conceptual model to discuss the risk taking behavior of two heterogeneous water-related stakeholders. Based on the theory of risk-sharing, the simulation was performed to know the outcome under uncertain situation. By examining premiums and losses of each water stakeholder, this study provide a better risk-based decision/policy making process. The study find answers to such kind of problems and provides a fair, reasonable, and beneficial solution between different agents. By this way, decision makers will able to enhance public welfare through the deliberate management of water resources.en
dc.description.provenanceMade available in DSpace on 2021-06-16T05:23:56Z (GMT). No. of bitstreams: 1
ntu-103-R01521304-1.pdf: 1653900 bytes, checksum: 8b64933cc1e89ec1aab3a756d990deaf (MD5)
Previous issue date: 2014
en
dc.description.tableofcontentsCONTENTS
口試委員會審定書 i
誌謝 ii
中文摘要 iii
ABSTRACT iv
CONTENTS v
LIST OF FIGURES viii
LIST OF TABLES x
Chapter 1 Introduction 11
1.1 Motivation 11
1.2 Problem statement 12
Chapter 2 Literature review 15
2.1 Economic approaches 15
2.2 Agent-based approaches 17
2.3 Risk approaches 19
Chapter 3 Theoretical framework 23
3.1 Basic theory and modeling framework 23
3.2 Problem description 26
3.3 General form and concept 27
3.3.1 Water allocation without risk 27
3.3.2 Water allocation under risk 29
Chapter 4 Specific form and numerical simulation 37
4.1 Water allocation without risk 37
4.1.1 Consider with utility function 37
4.1.2 Consider with loss function 47
4.2 Water allocation under risk 53
4.2.1 One stage 54
4.2.2 Two stages 59
4.2.3 Three and n stages 63
Chapter 5 Water transfer between regions 70
5.1 General concept of water transfer in a region 70
5.1.1 In continuous and various flow conditions 70
5.1.2 In sum of probability random variables 72
5.2 Water transfer without risk 76
5.3 Water transfer under risk 83
5.3.1 Independent and uncorrelated 84
Chapter 6 Conclusion 87
REFERENCES 89
dc.language.isoen
dc.subject風險分攤zh_TW
dc.subject水資源分配zh_TW
dc.subject邊際分析zh_TW
dc.subjectMarginal analysisen
dc.subjectRisk-sharingen
dc.subjectWater resource allocationen
dc.title風險分攤概念應用於水資源最佳分配之理論探討zh_TW
dc.titleTheoretical Framework of Water Allocation based on the Concept of Risk-Sharingen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee孫建平(Jian-Ping Suen),陳憲忠(Shien-Tsung Chen),劉宏仁(Hong-Jen LIU)
dc.subject.keyword風險分攤,水資源分配,邊際分析,zh_TW
dc.subject.keywordRisk-sharing,Water resource allocation,Marginal analysis,en
dc.relation.page91
dc.rights.note有償授權
dc.date.accepted2014-08-15
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept土木工程學研究所zh_TW
顯示於系所單位:土木工程學系

文件中的檔案:
檔案 大小格式 
ntu-103-1.pdf
  未授權公開取用
1.62 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved