{"title":"Rain-on-snow roof surcharge load: A review of recent collapses, design standards, current research, and challenges","authors":"Diwas Bajracharya , Qingwen Zhang","doi":"10.1016/j.coldregions.2025.104432","DOIUrl":null,"url":null,"abstract":"<div><div>Rain-on-snow (ROS) events can significantly increase roof snow loads in buildings, particularly as retained rainwater adds to the snowpack's weight. Recent roof damages from ROS load have been observed in both old and new structures, as climate changes exacerbate such events. Evaluating ROS load in existing snow load codes is crucial to determine whether they adequately address climate-driven impacts, including changing precipitation patterns and extreme weather events. This paper presents a systematic review of the ROS events, damage cases, current methods, and changing climate which shows that snowpack, its properties, and flow type are the key areas of focus. The review of ROS load standards exposed a reliance on historical data and snowpack characteristics, with limited consideration of climate change impacts on ROS surcharge loads. The bibliometric analysis of keywords revealed that environmental factors, snowpack properties, and climate change effects need to be considered for modeling ROS load. Among the available models, snowmelt and snowpack models are effective for long-term ROS simulations, particularly regarding snow depth, density, and pore distribution. In contrast, flow models can provide practical solutions for estimating ROS load while accounting for both uniform and non-uniform wetting front flow conditions in older snowpacks. The distinction between uniform wetting front flow and matrix-preferential flow is pivotal in determining the complexity of ROS load models, as these patterns significantly influence water retention in snow. As global warming can intensify ROS events, reassessment of ROS load standards with climate models is imperative to understand the future effects of climate non-stationarity.</div></div>","PeriodicalId":10522,"journal":{"name":"Cold Regions Science and Technology","volume":"232 ","pages":"Article 104432"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cold Regions Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165232X25000151","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Rain-on-snow (ROS) events can significantly increase roof snow loads in buildings, particularly as retained rainwater adds to the snowpack's weight. Recent roof damages from ROS load have been observed in both old and new structures, as climate changes exacerbate such events. Evaluating ROS load in existing snow load codes is crucial to determine whether they adequately address climate-driven impacts, including changing precipitation patterns and extreme weather events. This paper presents a systematic review of the ROS events, damage cases, current methods, and changing climate which shows that snowpack, its properties, and flow type are the key areas of focus. The review of ROS load standards exposed a reliance on historical data and snowpack characteristics, with limited consideration of climate change impacts on ROS surcharge loads. The bibliometric analysis of keywords revealed that environmental factors, snowpack properties, and climate change effects need to be considered for modeling ROS load. Among the available models, snowmelt and snowpack models are effective for long-term ROS simulations, particularly regarding snow depth, density, and pore distribution. In contrast, flow models can provide practical solutions for estimating ROS load while accounting for both uniform and non-uniform wetting front flow conditions in older snowpacks. The distinction between uniform wetting front flow and matrix-preferential flow is pivotal in determining the complexity of ROS load models, as these patterns significantly influence water retention in snow. As global warming can intensify ROS events, reassessment of ROS load standards with climate models is imperative to understand the future effects of climate non-stationarity.
期刊介绍:
Cold Regions Science and Technology is an international journal dealing with the science and technical problems of cold environments in both the polar regions and more temperate locations. It includes fundamental aspects of cryospheric sciences which have applications for cold regions problems as well as engineering topics which relate to the cryosphere.
Emphasis is given to applied science with broad coverage of the physical and mechanical aspects of ice (including glaciers and sea ice), snow and snow avalanches, ice-water systems, ice-bonded soils and permafrost.
Relevant aspects of Earth science, materials science, offshore and river ice engineering are also of primary interest. These include icing of ships and structures as well as trafficability in cold environments. Technological advances for cold regions in research, development, and engineering practice are relevant to the journal. Theoretical papers must include a detailed discussion of the potential application of the theory to address cold regions problems. The journal serves a wide range of specialists, providing a medium for interdisciplinary communication and a convenient source of reference.