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Cited by 258

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

A comprehensive review of compound inundation models in low-gradient coastal watersheds

Open access
Santiago-Collazo, Félix L., Bilskie, Matthew V., Hagen, Scott C.·2019·Environmental Modelling & Software

Abstract

Abstract Extreme coastal flooding poses a major threat to human life and infrastructure. Low-gradient coastal watersheds can be vulnerable to flooding from both intense rainfall and storm surge. Here we present a comprehensive review of the most recent studies that quantify extreme flooding using variations of a compound inundation model. A compound inundation model may consist of different numerical models, observed data, and/or a combination of these. The definitions, advantages, and limitations of each joining technique are discussed with the goal of enabling and focusing subsequent research. Future investigation should focus on the development of a tight-coupling procedure that can accurately represent the complex physical interactions between storm surge and rainfall-runoff. A more accurate compound flood forecast tool can help decision-makers, stakeholders and authorities converge on better coastal resiliency measures that can potentially save human lives, aid in the design of structures and communities, and decrease property damage.

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Crossref · 10.1016/j.envsoft.2019.06.002

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Metadata

Authors
Santiago-Collazo, F. L., Bilskie, M. V., & Hagen, S. C.
Venue
Environmental Modelling & Software
Publisher
Elsevier BV
Published
2019-09
Volume
119
Pages
166-181
ISSN
1364-8152 (ISSN-L)
OpenAlex
W2951699241
Cited by
258
References
80
FWCI
12.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A comprehensive review of compound inundation models in low-gradient coastal watersheds. https://app.cochat.ai/papers/10.1016/j.envsoft.2019.06.002
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Santiago-Collazo, F. L., Bilskie, M. V., & Hagen, S. C. (2019). A comprehensive review of compound inundation models in low-gradient coastal watersheds. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2019.06.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.