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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
DRYAD
Dataset . 2017
License: CC BY
Data sources: Datacite
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SanFranciscoBay_Adapt2SeaLevelRise_CountyData

Authors: Hirschfeld, Daniella; Hill, Kristina;

SanFranciscoBay_Adapt2SeaLevelRise_CountyData

Abstract

In metropolitan regions made up of multiple independent jurisdictions, adaptation to increased coastal flooding due to sea level rise requires coordinated strategic planning of physical and organizational approaches. To better understand specific choices for sea level rise adaptation we examined potential costs to raise current protective infrastructure to future water levels. This data further explores our cost data at the county scale in an attempt to better characterize the region’s counties by their relative capacity to pay some of the costs of raising their coastal infrastructure. In reality, it is likely that the costs of any adaptation project will be borne by a mix of public agencies at different jurisdictional levels, along with private sector landowners. However, a simple ratio of tax revenues to estimated adaptation costs is likely to reveal a meaningful dimension of public-sector capacity at the county level.

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Keywords

cost estimation, coastal flooding, San Francisco Bay, Climate cthange, Coastal planning, coastal management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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