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| 005 | 20180615094623 | |
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| 008 | 100429s2010 ne a ob 001 0 eng d | |
| 020 | ▼a 9781856177979 | |
| 020 | ▼a 1856177971 | |
| 020 | ▼a 9780080963013 (electronic bk.) | |
| 020 | ▼a 0080963013 (electronic bk.) | |
| 035 | ▼a (OCoLC)610009077 ▼z (OCoLC)647909487 ▼z (OCoLC)659561083 | |
| 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 | |
| 049 | ▼a TEFA | |
| 050 | 4 | ▼a HD108.3 ▼b .S88 2010 |
| 082 | 0 0 | ▼a 333.73/15 ▼2 23 |
| 084 | ▼a 333.7315 ▼2 DDCK | |
| 090 | ▼a 333.7315 | |
| 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 |
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 :
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.
