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CENAS

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Cover of 'CENAS'

Table of Contents

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    Book Overview
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    Chapter 1 Coastal Evolution of the Upper Adriatic Sea due to Sea Level Rise and Natural and Anthropic Land Subsidence
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    Chapter 2 Prediction of Mean Sea Level Rise in the Upper Adriatic Sea
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    Chapter 3 Collection and analysis of historical data on shoreline evolution at the sites of Ravenna, Cesenatico and Rimini
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    Chapter 4 Numerical Modeling of Natural Land Subsidence over Sedimentary Basins Undergoing Large Compaction
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    Chapter 5 Numerical Analysis of Land Subsidence due to Natural Compaction of the Upper Adriatic Sea Basin
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    Chapter 6 Simulation of Land Subsidence Due to Gas Production at Ravenna Coastline
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    Chapter 7 Prediction of Land Subsidence Due to Groundwater Withdrawal along the Emilia-Romagna Coast
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    Chapter 8 Wave refraction in the Upper Adriatic Sea
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    Chapter 9 Storm Wave Simulation in the Adriatic Sea
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    Chapter 10 Storm Surge Simulations in the Adriatic Sea
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    Chapter 11 Coastal Morphodynamics in Subsiding Areas
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    Chapter 12 Local Morphological Evolution of the Coast in the Upper Adriatic Sea. Design and Management Strategies to Control Coastal Erosion
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    Chapter 13 Geographic Information System (GIS) and Data Management and Retrieval System (DMRS) in the CENAS Project
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    Chapter 14 Flood Risk Analysis in the Upper Adriatic Sea due to Storm Surge, Tide, Waves, and Natural and Anthropic Land Subsidence
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Mentioned by

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Citations

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Readers on

mendeley
31 Mendeley
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Title
CENAS
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-011-5147-4
ISBNs
978-9-40-106163-6, 978-9-40-115147-4
Editors

Gambolati, Giuseppe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 52%
Researcher 4 13%
Student > Bachelor 3 10%
Student > Ph. D. Student 2 6%
Lecturer 1 3%
Other 3 10%
Unknown 2 6%
Readers by discipline Count As %
Engineering 12 39%
Computer Science 3 10%
Medicine and Dentistry 3 10%
Earth and Planetary Sciences 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 4 13%
Unknown 4 13%