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Sustainable land development and restoration [electronic resource] : decision consequence analysis

Sustainable land development and restoration [electronic resource] : decision consequence analysis

자료유형
E-Book(소장)
개인저자
Brown, Kandi.
서명 / 저자사항
Sustainable land development and restoration [electronic resource] : decision consequence analysis / Kandi Brown ... [et al.].
발행사항
Amsterdam ;   Boston :   Elsevier/Butterworth-Heinemann,   2010.  
형태사항
1 online resource (xxvi, 497 p.) : ill.
ISBN
9781856177979 1856177971 9780080963013 (electronic bk.) 0080963013 (electronic bk.)
요약
Decision Consequence Analysis (DCA) is a framework for improving the quality of decision results. The framework is a systematic, multi-criteria quantification of uncertainties and the opportunities for managing and reducing the potential negative consequences of such uncertainties. DCA is demonstrated throughout the text for each stage of system based management of environmental issues. DCA links disciplines and incorporates components of risk modelling, probability modelling and the psychology of decision making. Its goal is to provide a comprehensive unbiased decision making framework. Its foundation is accurately defining your problem statement and clearly vetting your objectives to build a structure for meaningful analysis of data. Employment of DCA consistently throughout the environmental industry can reduce decibel-driven, agenda-laden decision making, streamline expenditure of resources (financial, human, natural), and provide a clear path to the sustainable maintenance of balanced environmental systems as the penultimate objective. This book provides a toolbox to both the novice and experienced environmental practitioner of valuable techniques for addressing site specific environmental issues, as well as managing a portfolio of liabilities on an international scale. Ultimately, the authors are addressing the critical issue of balancing environmental asset balance sheets, whether on the scale of an individual project, across a company's portfolio, or for a community. The environmental manager who adopts the principles in this book will have greater confidence that environmental protection or restoration activities are providing measurable utility. The goal is that, through multidimensional resource management analysis and practices companies and societies can achieve sustainable maintenance of a balanced environmental system. Descriptions of technical, contracting and implementation processes are supported by detailed case studies to provide real world context rather than an academic exchange of theories. Techniques for addressing site specific environmental issues Multidimensional resource management analysis Case narrative, data base, and GIS linked.
일반주기
Title from e-Book title page.  
내용주기
Part One: FOUNDATION FOR DECISION MAKING -- 1. Defining Problem and Objectives -- 2. Data Management and Mining -- 3. GIS -- 4. Remote Sensing -- 5. Statistics -- 6. Forensics Analysis -- 7. Risk Analysis -- Part Two: DECISION ANLYSIS -- 8. Alternatives Analysis -- Billy -- 9. Uncertainty and Tradeoff Analysis -- 10. Robust Performance Metrics -- 11. DCA Model Construction -- Part Three: DECISION IMPLEMENTATION -- 12. Sustainable Diverse Stakeholder Engagement -- 13. Implementation Tools -- Part Four: SUSTAINABLE LIABILITY MANAGEMENT -- 14. Portfolio Risk Management Analysis -- 15. Environmental Balance Sheet.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Land use --Environmental aspects. Sustainable development.
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ScienceDirect   URL
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020 ▼a 0080963013 (electronic bk.)
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040 ▼a OPELS ▼b eng ▼e pn ▼c OPELS ▼d CDX ▼d OCLCQ ▼d N$T ▼d IDEBK ▼d E7B ▼d OCLCQ ▼d OCLCF ▼d OCLCQ ▼d 211009
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245 0 0 ▼a Sustainable land development and restoration ▼h [electronic resource] : ▼b decision consequence analysis / ▼c Kandi Brown ... [et al.].
260 ▼a Amsterdam ; ▼a Boston : ▼b Elsevier/Butterworth-Heinemann, ▼c 2010.
300 ▼a 1 online resource (xxvi, 497 p.) : ▼b ill.
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Part One: FOUNDATION FOR DECISION MAKING -- 1. Defining Problem and Objectives -- 2. Data Management and Mining -- 3. GIS -- 4. Remote Sensing -- 5. Statistics -- 6. Forensics Analysis -- 7. Risk Analysis -- Part Two: DECISION ANLYSIS -- 8. Alternatives Analysis -- Billy -- 9. Uncertainty and Tradeoff Analysis -- 10. Robust Performance Metrics -- 11. DCA Model Construction -- Part Three: DECISION IMPLEMENTATION -- 12. Sustainable Diverse Stakeholder Engagement -- 13. Implementation Tools -- Part Four: SUSTAINABLE LIABILITY MANAGEMENT -- 14. Portfolio Risk Management Analysis -- 15. Environmental Balance Sheet.
520 ▼a Decision Consequence Analysis (DCA) is a framework for improving the quality of decision results. The framework is a systematic, multi-criteria quantification of uncertainties and the opportunities for managing and reducing the potential negative consequences of such uncertainties. DCA is demonstrated throughout the text for each stage of system based management of environmental issues. DCA links disciplines and incorporates components of risk modelling, probability modelling and the psychology of decision making. Its goal is to provide a comprehensive unbiased decision making framework. Its foundation is accurately defining your problem statement and clearly vetting your objectives to build a structure for meaningful analysis of data. Employment of DCA consistently throughout the environmental industry can reduce decibel-driven, agenda-laden decision making, streamline expenditure of resources (financial, human, natural), and provide a clear path to the sustainable maintenance of balanced environmental systems as the penultimate objective. This book provides a toolbox to both the novice and experienced environmental practitioner of valuable techniques for addressing site specific environmental issues, as well as managing a portfolio of liabilities on an international scale. Ultimately, the authors are addressing the critical issue of balancing environmental asset balance sheets, whether on the scale of an individual project, across a company's portfolio, or for a community. The environmental manager who adopts the principles in this book will have greater confidence that environmental protection or restoration activities are providing measurable utility. The goal is that, through multidimensional resource management analysis and practices companies and societies can achieve sustainable maintenance of a balanced environmental system. Descriptions of technical, contracting and implementation processes are supported by detailed case studies to provide real world context rather than an academic exchange of theories. Techniques for addressing site specific environmental issues Multidimensional resource management analysis Case narrative, data base, and GIS linked.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Land use ▼x Environmental aspects.
650 0 ▼a Sustainable development.
700 1 ▼a Brown, Kandi.
856 4 0 ▼3 ScienceDirect ▼u https://oca.korea.ac.kr/link.n2s?url=http://www.sciencedirect.com/science/book/9781856177979
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 333.7315 등록번호 E14002980 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

책소개

Widely employed in land development or restoration projects, decision consequence analysis (DCA) process provides a clear and systematic framework for reducing environmental risk and uncertainty. This book provides a clear path to the sustainable maintenance of balanced environmental systems as the penultimate objective. Each chapter contains multiple examples of the best application of the technical subject, including tables, aerial photos, diagrams, etc.

Decision Consequence Analysis (DCA) is a framework for improving the quality of decision results. The framework is a systematic, multi-criteria quantification of uncertainties and the opportunities for managing and reducing the potential negative consequences of such uncertainties. DCA is demonstrated throughout Sustainable Land Development and Restoration for each stage of system based management of environmental issues. DCA links disciplines and incorporates components of risk modelling, probability modelling and the psychology of decision making. Its goal is to provide a comprehensive unbiased decision making framework. Its foundation is accurately defining your problem statement and clearly vetting your objectives to build a structure for meaningful analysis of data. Employment of DCA consistently throughout the environmental industry can reduce decibel-driven, agenda-laden decision making, streamline expenditure of resources (financial, human, natural), and provide a clear path to the sustainable maintenance of balanced environmental systems as the penultimate objective.

Sustainable Land Development and Restoration provides a toolbox to both the novice and experienced environmental practitioner of valuable techniques for addressing site specific environmental issues, as well as managing a portfolio of liabilities on an international scale. Ultimately, the authors are addressing the critical issue of balancing environmental asset balance sheets, whether on the scale of an individual project, across a company's portfolio, or for a community. The environmental manager who adopts the principles in this book will have greater confidence that environmental protection or restoration activities are providing measurable utility. The goal is that, through multidimensional resource management analysis and practices companies and societies can achieve sustainable maintenance of a balanced environmental system.

Descriptions of technical, contracting and implementation processes are supported by detailed case studies to provide real world context rather than an academic exchange of theories.



  • Techniques for addressing site specific environmental issues
  • Multidimensional resource management analysis
  • Case narrative, data base, and GIS linked



정보제공 : Aladin

목차

Part One: FOUNDATION FOR DECISION MAKING
1. Defining Problem and Objectives
2. Data Management and Mining
3. GIS
4. Remote Sensing
5. Statistics
6. Forensics Analysis
7. Risk Analysis
Part Two: DECISION ANLYSIS
8. Alternatives Analysis
Billy
9. Uncertainty and Tradeoff Analysis
10. Robust Performance Metrics
11. DCA Model Construction
Part Three: DECISION IMPLEMENTATION
12. Sustainable Diverse Stakeholder Engagement
13. Implementation Tools
Part Four: SUSTAINABLE LIABILITY MANAGEMENT
14. Portfolio Risk Management Analysis
15. Environmental Balance Sheet.

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