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Format: 1 Online-Ressource

Series Statement: Water Papers

Content: Watershed management problems are usually quite diverse, and involve a wide range of biological, geological, chemical, and physical processes with complex human, social, and economic contexts. The working note seeks to show that computer modeling allows us to better organize, test, and refine our thinking about watershed management problems and potential solutions. Typically, the flow of water leads modeling to be organized into the following areas: (i) precipitation and climate models; (ii) precipitation-runoff models; (iii) stream and aquifer models; (iv) infrastructure operations models; (v) economic, agronomic, social, environmental demand and performance models; and (vi) decision-making models. Selecting the right model to apply to specific problems requires that several factors be considered along with the objectives for modeling in the context of the field decision problem. Key factors include understandability, development and application time, resources required, transferability and maintenance. Good modeling is common-sense and understanding reduced to calculation for the purposes of gaining insights into a real problem. Modeling should aid discussions, help thinking and provide insights to problems where individuals and interests struggle to understand the problem and struggle to work together to address a problem. To aid model development and the interpretation and communication of modeling and model results and insights, simplicity is a great virtue. While complex problems sometimes require complex models, shedding of unneeded complexity is important. Local and in-house expertise is preferred when developing and applying watershed models because of better familiarity with the problems assessed. Model integration is a growing trend but requires as much expertise and resources as development of any single model component

Language: English

DOI: 10.1596/27841

URL: Volltext  (kostenfrei)

URL: Volltext  (Deutschlandweit zugänglich)

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Format: 1 online resource (257 p.)

Edition: 1st ed.

ISBN: 1-282-42230-8 , 9786612422300 , 0-520-94537-9

Series Statement: Freshwater ecology series ; v. 3

Content: An ecosystem in freefall, a shrinking water supply for cities and agriculture, an antiquated network of failure-prone levees-this is the Sacramento-San Joaquin Delta, the major hub of California's water system. Written by a team of independent water experts, this analysis of the latest data evaluates proposed solutions to the Delta's myriad problems. Through in-depth economic and ecological analysis, the authors find that the current policy of channeling water exports through the Delta is not sustainable for any interest. Employing a peripheral canal-conveying water around the Delta instead of through it-as part of a larger habitat and water management plan appears to be the best strategy to maintain both a high-quality water supply and at the same time improve conditions for native fish and wildlife. This important assessment includes integrated analysis of long term ecosystem and water management options and demonstrates how issues such as climate change and sustainability will shape the future.Published in cooperation with the Public Policy Institute of California

Note: Description based upon print version of record. , Frontmatter -- , Contents -- , Contributors -- , Preface -- , Acknowledgments -- , 1. Introduction -- , 2. The Legacies Of Delta History -- , 3. Managing The Inevitable -- , 4. Delta Water Exports And Strategies -- , 5. Hydrodynamics And The Salinity Of Delta Waters -- , 6. What A Changing Delta Means For The Ecosystem And Its Fish -- , 7. Economics Of Changing Water Supply And Quality -- , 8. Policy And Regulatory Challenges -- , 9. Decision Analysis For Delta Exports -- , 10. Charting The Future For A Changing Delta -- , Appendix: Estimation Of Probabilities, Costs, And Reductions For Delta Outcomes And Strategies -- , Acronynms And Abbreviations -- , Notes -- , Glossary -- , References -- , Index , English

Additional Edition: ISBN 0-520-26197-6

Language: English

DOI: 10.1525/9780520945371

URL: Volltext  (lizenzpflichtig)

URL: Volltext  (lizenzpflichtig)

URL: Volltext

URL: Volltext

UID:

Series Statement: Water Papers

Content: Watershed management problems are usually quite diverse, and involve a wide range of biological, geological, chemical, and physical processes with complex human, social, and economic contexts. The working note seeks to show that computer modeling allows us to better organize, test, and refine our thinking about watershed management problems and potential solutions. Typically, the flow of water leads modeling to be organized into the following areas: (i) precipitation and climate models; (ii) precipitation-runoff models; (iii) stream and aquifer models; (iv) infrastructure operations models; (v) economic, agronomic, social, environmental demand and performance models; and (vi) decision-making models. Selecting the right model to apply to specific problems requires that several factors be considered along with the objectives for modeling in the context of the field decision problem. Key factors include understandability, development and application time, resources required, transferability and maintenance. Good modeling is common-sense and understanding reduced to calculation for the purposes of gaining insights into a real problem. Modeling should aid discussions, help thinking and provide insights to problems where individuals and interests struggle to understand the problem and struggle to work together to address a problem. To aid model development and the interpretation and communication of modeling and model results and insights, simplicity is a great virtue. While complex problems sometimes require complex models, shedding of unneeded complexity is important. Local and in-house expertise is preferred when developing and applying watershed models because of better familiarity with the problems assessed. Model integration is a growing trend but requires as much expertise and resources as development of any single model component.

Language: English

DOI: 10.1596/27841

UID:

Series Statement: Water Papers

Content: Watershed management problems are usually quite diverse, and involve a wide range of biological, geological, chemical, and physical processes with complex human, social, and economic contexts. The working note seeks to show that computer modeling allows us to better organize, test, and refine our thinking about watershed management problems and potential solutions. Typically, the flow of water leads modeling to be organized into the following areas: (i) precipitation and climate models; (ii) precipitation-runoff models; (iii) stream and aquifer models; (iv) infrastructure operations models; (v) economic, agronomic, social, environmental demand and performance models; and (vi) decision-making models. Selecting the right model to apply to specific problems requires that several factors be considered along with the objectives for modeling in the context of the field decision problem. Key factors include understandability, development and application time, resources required, transferability and maintenance. Good modeling is common-sense and understanding reduced to calculation for the purposes of gaining insights into a real problem. Modeling should aid discussions, help thinking and provide insights to problems where individuals and interests struggle to understand the problem and struggle to work together to address a problem. To aid model development and the interpretation and communication of modeling and model results and insights, simplicity is a great virtue. While complex problems sometimes require complex models, shedding of unneeded complexity is important. Local and in-house expertise is preferred when developing and applying watershed models because of better familiarity with the problems assessed. Model integration is a growing trend but requires as much expertise and resources as development of any single model component.

Language: English

DOI: 10.1596/27841

UID:

Format: xvii, 229 p. : , ill.

Edition: Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Series Statement: Freshwater ecology series ; v. 3

Language: English

Keywords: Electronic books.

URL: Click to View

UID:

Format: IX, 347 S. , Ill., graph. Darst., Kt.

ISBN: 9058093778

Note: Includes bibliographical references and index

Language: English

Subjects: Biology , General works

Keywords: Wasserwirtschaft ; Gewässerschutz ; Regionalplanung ; Wasserversorgung ; Konferenzschrift

UID:

Format: 1 Online-Ressource

Series Statement: Water Working Notes No. 27

Content: Watershed management problems are usually quite diverse, and involve a wide range of biological, geological, chemical, and physical processes with complex human, social, and economic contexts. The working note seeks to show that computer modeling allows us to better organize, test, and refine our thinking about watershed management problems and potential solutions. Typically, the flow of water leads modeling to be organized into the following areas: (i) precipitation and climate models; (ii) precipitation-runoff models; (iii) stream and aquifer models; (iv) infrastructure operations models; (v) economic, agronomic, social, environmental demand and performance models; and (vi) decision-making models. Selecting the right model to apply to specific problems requires that several factors be considered along with the objectives for modeling in the context of the field decision problem. Key factors include understandability, development and application time, resources required, transferability and maintenance. Good modeling is common-sense and understanding reduced to calculation for the purposes of gaining insights into a real problem. Modeling should aid discussions, help thinking and provide insights to problems where individuals and interests struggle to understand the problem and struggle to work together to address a problem. To aid model development and the interpretation and communication of modeling and model results and insights, simplicity is a great virtue. While complex problems sometimes require complex models, shedding of unneeded complexity is important. Local and in-house expertise is preferred when developing and applying watershed models because of better familiarity with the problems assessed. Model integration is a growing trend but requires as much expertise and resources as development of any single model component

Note: English , en_US

Language: Undetermined

URL: kostenfrei

URL: kostenfrei