Next‐Generation Intensity‐Duration‐Frequency Curves for Hydrologic Design in Snow‐Dominated Environments

There is a renewed focus on the design of infrastructure resilient to extreme hydrometeorological events. While precipitation‐based intensity‐duration‐frequency (IDF) curves are commonly used as part of infrastructure design, a large percentage of peak runoff events in snow‐dominated regions are cau...

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Veröffentlicht in:Water resources research 2018-02, Vol.54 (2), p.1093-1108
Hauptverfasser: Yan, Hongxiang, Sun, Ning, Wigmosta, Mark, Skaggs, Richard, Hou, Zhangshuan, Leung, Ruby
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container_end_page 1108
container_issue 2
container_start_page 1093
container_title Water resources research
container_volume 54
creator Yan, Hongxiang
Sun, Ning
Wigmosta, Mark
Skaggs, Richard
Hou, Zhangshuan
Leung, Ruby
description There is a renewed focus on the design of infrastructure resilient to extreme hydrometeorological events. While precipitation‐based intensity‐duration‐frequency (IDF) curves are commonly used as part of infrastructure design, a large percentage of peak runoff events in snow‐dominated regions are caused by snowmelt, particularly during rain‐on‐snow (ROS) events. In these regions, precipitation‐based IDF curves may lead to substantial overestimation/underestimation of design basis events and subsequent overdesign/underdesign of infrastructure. To overcome this deficiency, we proposed next‐generation IDF (NG‐IDF) curves, which characterize the actual water reaching the land surface. We compared NG‐IDF curves to standard precipitation‐based IDF curves for estimates of extreme events at 376 Snowpack Telemetry (SNOTEL) stations across the western United States that each had at least 30 years of high‐quality records. We found standard precipitation‐based IDF curves at 45% of the stations were subject to underdesign, many with significant underestimation of 100 year extreme events, for which the precipitation‐based IDF curves can underestimate water potentially available for runoff by as much as 125% due to snowmelt and ROS events. The regions with the greatest potential for underdesign were in the Pacific Northwest, the Sierra Nevada Mountains, and the Middle and Southern Rockies. We also found the potential for overdesign at 20% of the stations, primarily in the Middle Rockies and Arizona mountains. These results demonstrate the need to consider snow processes in the development of IDF curves, and they suggest use of the more robust NG‐IDF curves for hydrologic design in snow‐dominated environments. Plain Language Summary Recent natural disasters highlight the need for proper hydrologic design of infrastructure to accommodate extreme flood events. Hydraulic structures such as flood drainage systems are typically designed to convey a storm of a given duration and frequency of occurrence (e.g., the 100 year, 24 h storm event). These events are characterized by curves of a given frequency showing the relationship between precipitation intensity and duration (i.e., IDF curves). In locations with significant snowfall, standard precipitation‐based IDF curves fail to capture the snowmelt and rain‐on‐snow events which may lead to substantial overestimation/underestimation of design basis events used for infrastructure. This study proposed next‐generation IDF (NG‐IDF) cu
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We found standard precipitation‐based IDF curves at 45% of the stations were subject to underdesign, many with significant underestimation of 100 year extreme events, for which the precipitation‐based IDF curves can underestimate water potentially available for runoff by as much as 125% due to snowmelt and ROS events. The regions with the greatest potential for underdesign were in the Pacific Northwest, the Sierra Nevada Mountains, and the Middle and Southern Rockies. We also found the potential for overdesign at 20% of the stations, primarily in the Middle Rockies and Arizona mountains. These results demonstrate the need to consider snow processes in the development of IDF curves, and they suggest use of the more robust NG‐IDF curves for hydrologic design in snow‐dominated environments. Plain Language Summary Recent natural disasters highlight the need for proper hydrologic design of infrastructure to accommodate extreme flood events. Hydraulic structures such as flood drainage systems are typically designed to convey a storm of a given duration and frequency of occurrence (e.g., the 100 year, 24 h storm event). These events are characterized by curves of a given frequency showing the relationship between precipitation intensity and duration (i.e., IDF curves). In locations with significant snowfall, standard precipitation‐based IDF curves fail to capture the snowmelt and rain‐on‐snow events which may lead to substantial overestimation/underestimation of design basis events used for infrastructure. This study proposed next‐generation IDF (NG‐IDF) curves to overcome this deficiency. We used observed daily precipitation and changes in snow water equivalent at 376 Snowpack Telemetry (SNOTEL) stations to construct and compare standard precipitation and NG‐IDF curves for estimates of extreme events across the western United States. Standard precipitation‐based IDF curves were subject to underdesign at 45% of the stations in the Pacific Northwest, the Sierra Nevada Mountains, and the Middle and Southern Rockies. Underestimation of 100 year, 24 h events can be as much as 125%. These results suggest use of the more robust NG‐IDF curves for hydrologic design in snow‐dominated environments. Key Points Precipitation IDF curves can significantly underestimate flood risk or lead to unnecessary cost in regions that have significant snowpack Snowmelt and rain‐on‐snow events need to be specifically incorporated in analyses of extreme events in snow‐dominated regions Next‐generation IDF curves can overcome the deficiency of traditional precipitation‐based IDF and enhance infrastructure resilience</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1002/2017WR021290</identifier><language>eng</language><publisher>Washington: John Wiley &amp; Sons, Inc</publisher><subject>Atmospheric precipitations ; Construction standards ; Daily precipitation ; Design ; Disasters ; Drainage systems ; Duration ; ENVIRONMENTAL SCIENCES ; Floods ; Hydraulic structures ; Hydrology ; hydrometeorological ; Hydrometeorology ; Infrastructure ; infrastructure design ; Mountains ; Natural disasters ; next‐generation IDF ; Precipitation ; Precipitation intensity ; Rain ; Rainfall intensity ; rain‐on‐snow ; Regions ; resilience ; Runoff ; Snow ; Snow-water equivalent ; Snowmelt ; Snowpack ; Stations ; Storms ; Telemetry</subject><ispartof>Water resources research, 2018-02, Vol.54 (2), p.1093-1108</ispartof><rights>2018. 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(PNNL), Richland, WA (United States)</creatorcontrib><title>Next‐Generation Intensity‐Duration‐Frequency Curves for Hydrologic Design in Snow‐Dominated Environments</title><title>Water resources research</title><description>There is a renewed focus on the design of infrastructure resilient to extreme hydrometeorological events. While precipitation‐based intensity‐duration‐frequency (IDF) curves are commonly used as part of infrastructure design, a large percentage of peak runoff events in snow‐dominated regions are caused by snowmelt, particularly during rain‐on‐snow (ROS) events. In these regions, precipitation‐based IDF curves may lead to substantial overestimation/underestimation of design basis events and subsequent overdesign/underdesign of infrastructure. To overcome this deficiency, we proposed next‐generation IDF (NG‐IDF) curves, which characterize the actual water reaching the land surface. We compared NG‐IDF curves to standard precipitation‐based IDF curves for estimates of extreme events at 376 Snowpack Telemetry (SNOTEL) stations across the western United States that each had at least 30 years of high‐quality records. We found standard precipitation‐based IDF curves at 45% of the stations were subject to underdesign, many with significant underestimation of 100 year extreme events, for which the precipitation‐based IDF curves can underestimate water potentially available for runoff by as much as 125% due to snowmelt and ROS events. The regions with the greatest potential for underdesign were in the Pacific Northwest, the Sierra Nevada Mountains, and the Middle and Southern Rockies. We also found the potential for overdesign at 20% of the stations, primarily in the Middle Rockies and Arizona mountains. 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The regions with the greatest potential for underdesign were in the Pacific Northwest, the Sierra Nevada Mountains, and the Middle and Southern Rockies. We also found the potential for overdesign at 20% of the stations, primarily in the Middle Rockies and Arizona mountains. These results demonstrate the need to consider snow processes in the development of IDF curves, and they suggest use of the more robust NG‐IDF curves for hydrologic design in snow‐dominated environments. Plain Language Summary Recent natural disasters highlight the need for proper hydrologic design of infrastructure to accommodate extreme flood events. Hydraulic structures such as flood drainage systems are typically designed to convey a storm of a given duration and frequency of occurrence (e.g., the 100 year, 24 h storm event). These events are characterized by curves of a given frequency showing the relationship between precipitation intensity and duration (i.e., IDF curves). 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source Wiley Online Library Journals Frontfile Complete; Wiley-Blackwell AGU Digital Library; EZB-FREE-00999 freely available EZB journals
subjects Atmospheric precipitations
Construction standards
Daily precipitation
Design
Disasters
Drainage systems
Duration
ENVIRONMENTAL SCIENCES
Floods
Hydraulic structures
Hydrology
hydrometeorological
Hydrometeorology
Infrastructure
infrastructure design
Mountains
Natural disasters
next‐generation IDF
Precipitation
Precipitation intensity
Rain
Rainfall intensity
rain‐on‐snow
Regions
resilience
Runoff
Snow
Snow-water equivalent
Snowmelt
Snowpack
Stations
Storms
Telemetry
title Next‐Generation Intensity‐Duration‐Frequency Curves for Hydrologic Design in Snow‐Dominated Environments
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