Parameters of multi-linear regressions for reconstructing peak flow in Contiguous United States (CONUS)


Authors:
Owners: Yasas Upeakshika BandaraGiuseppe Mascaro
Type: Resource
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Created: Oct 24, 2024 at 9:45 p.m.
Last updated: Oct 25, 2024 at 7:28 p.m.
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Abstract

This dataset contains multi-regressions for 672 gauges across Contiguous United States (CONUS) to extend the peak dataset for enhanced Flood Frequency Analysis (FFA).

Flooding is a recurrent natural disaster causing substantial damage and casualties worldwide. A critical task to prevent and mitigate the negative impacts of these natural hazards is to characterize the frequency of flood peaks – a process known as flood frequency analysis (FFA). However, the short records of peak flow observations often limit the FFA accuracy. Here, we developed a statistical method to expand peak flow records at 672 undisturbed gauges across the United States using observations of daily mean flow, available over relatively long periods. We also quantified how FFA reliability improves by adding these expanded datasets of peak flows. This work provides datasets and benchmarks for increasing FFA accuracy, which are helpful for practitioners and government agencies responsible for flood mitigation, infrastructure design, and water management in the United States.

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Contiguous United States
North Latitude
49.6783°
East Longitude
-64.3359°
South Latitude
27.3718°
West Longitude
-124.1016°
Leaflet Map data © OpenStreetMap contributors

Content

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Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
U.S. National Science Foundation CAS-Climate: A Novel Process-Driven Method for Flood Frequency Analysis Based on Mixed Distributions 2212702

How to Cite

Bandara, Y. U., G. Mascaro (2024). Parameters of multi-linear regressions for reconstructing peak flow in Contiguous United States (CONUS), HydroShare, http://www.hydroshare.org/resource/4b455c9ac1864e1ba7a3bc90e91e8e0e

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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