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Sustainable Water Resources Planning and Management Under Climate Change

Overview of attention for book
Cover of 'Sustainable Water Resources Planning and Management Under Climate Change'

Table of Contents

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    Book Overview
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    Chapter 1 Climate Variability and Changes in Precipitation Extremes and Characteristics
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    Chapter 2 Hydrologic Extremes Under Climate Change: Non-stationarity and Uncertainty
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    Chapter 3 Impact of Climatic and Land Use Changes on River Flows in the Southern Alps
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    Chapter 4 Ranking of Global Climate Models for Godavari and Krishna River Basins, India, Using Compromise Programming
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    Chapter 5 Integrated Reservoir Operation Considering Real-Time Hydrological Prediction for Adaptive Water Resources Management
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    Chapter 6 Optimization of Integrated Operation of Dams Using Ensemble Prediction
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    Chapter 7 Adaptation to Climate Change: Risk Management
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    Chapter 8 Adaptation to Climate Change: Decision Making
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    Chapter 9 Adaptation to Climate Change: Green Development
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    Chapter 10 Adaptation to Climate Change: Institutional Analysis
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    Chapter 11 Climate Change Impacts and Water Resource Management and Planning
Attention for Chapter 5: Integrated Reservoir Operation Considering Real-Time Hydrological Prediction for Adaptive Water Resources Management
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Citations

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Readers on

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7 Mendeley
Summary Dimensions citations
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Chapter title
Integrated Reservoir Operation Considering Real-Time Hydrological Prediction for Adaptive Water Resources Management
Chapter number 5
Book title
Sustainable Water Resources Planning and Management Under Climate Change
Published by
Springer, Singapore, January 2017
DOI 10.1007/978-981-10-2051-3_5
Book ISBNs
978-9-81-102049-0, 978-9-81-102051-3
Authors

Daisuke Nohara, Tomoharu Hori

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 57%
Student > Ph. D. Student 2 29%
Lecturer 1 14%
Readers by discipline Count As %
Engineering 3 43%
Environmental Science 2 29%
Unknown 2 29%

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