{"title":"Experimental study of test methods for the acoustic properties of snow","authors":"Xiaomin Chang , Xuanhao Chen , Ming Xue , Guangyu Zuo , Yinke Dou","doi":"10.1016/j.coldregions.2025.104772","DOIUrl":null,"url":null,"abstract":"<div><div>Acoustic attenuation is a key property of snow and plays a significant role in avalanche early warning. However, due to the dynamic changes in snow properties under natural environmental conditions, the automated monitoring of snow acoustic attenuation remains highly challenging. In this study, an acoustic testing system was designed using the transmission method to conduct acoustic measurements on natural snow samples and obtain information on the variations in snow acoustic properties under different conditions. Experimental results indicate that under an ambient temperature of −10 °C, the attenuation coefficient of snow layers increases with rising acoustic wave frequency across different snow densities. Additionally, as snow density increases, the attenuation coefficient increases while the boundary sound absorption coefficient decreases. Within the temperature range of −10 °C to 5 °C, the attenuation coefficient shows an increasing trend with rising temperature. In the range of −10 °C to −2.5 °C, the boundary sound absorption coefficient remains relatively stable, while from −2.5 °C to 5 °C, it shows a decreasing trend with increasing temperature. Within a snow water content range of 0–20 %, the attenuation coefficient increases with higher water content, whereas the boundary sound absorption coefficient decreases. Based on the experimental data, predictive models for the attenuation coefficient were developed with respect to ambient temperature and water content. The models demonstrated good predictive performance, with coefficients of determination (R<sup>2</sup>), root mean square errors (RMSE), biases (BIAS), and Nash-Sutcliffe efficiencies (NASH) of 0.918, 0.061, 0.002, and 0.982 for temperature-based models, and 0.946, 0.026, −0.001, and 0.991 for water content-based models, respectively. These results suggest that the models offer high predictive accuracy and provide a foundation for the automated observation of snow acoustic attenuation characteristics.</div></div>","PeriodicalId":10522,"journal":{"name":"Cold Regions Science and Technology","volume":"243 ","pages":"Article 104772"},"PeriodicalIF":4.9000,"publicationDate":"2026-02-01","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/S0165232X25003556","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Acoustic attenuation is a key property of snow and plays a significant role in avalanche early warning. However, due to the dynamic changes in snow properties under natural environmental conditions, the automated monitoring of snow acoustic attenuation remains highly challenging. In this study, an acoustic testing system was designed using the transmission method to conduct acoustic measurements on natural snow samples and obtain information on the variations in snow acoustic properties under different conditions. Experimental results indicate that under an ambient temperature of −10 °C, the attenuation coefficient of snow layers increases with rising acoustic wave frequency across different snow densities. Additionally, as snow density increases, the attenuation coefficient increases while the boundary sound absorption coefficient decreases. Within the temperature range of −10 °C to 5 °C, the attenuation coefficient shows an increasing trend with rising temperature. In the range of −10 °C to −2.5 °C, the boundary sound absorption coefficient remains relatively stable, while from −2.5 °C to 5 °C, it shows a decreasing trend with increasing temperature. Within a snow water content range of 0–20 %, the attenuation coefficient increases with higher water content, whereas the boundary sound absorption coefficient decreases. Based on the experimental data, predictive models for the attenuation coefficient were developed with respect to ambient temperature and water content. The models demonstrated good predictive performance, with coefficients of determination (R2), root mean square errors (RMSE), biases (BIAS), and Nash-Sutcliffe efficiencies (NASH) of 0.918, 0.061, 0.002, and 0.982 for temperature-based models, and 0.946, 0.026, −0.001, and 0.991 for water content-based models, respectively. These results suggest that the models offer high predictive accuracy and provide a foundation for the automated observation of snow acoustic attenuation characteristics.
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.