{"title":"通过人工雨雪实验分离雪堆中的融水排放","authors":"Jeonghoon Lee, Hyejung Jung","doi":"10.1007/s13201-024-02314-z","DOIUrl":null,"url":null,"abstract":"<div><p>In temperate regions, snow and its meltwater constitute primary freshwater resources and snowmelt isotopes offer valuable insights into understanding the snowmelt processes including the timing and contribution of snowmelt to the soil and watershed in spring. Assessing the storage and movement of liquid water within natural snowpacks, a previously unquantified aspect, holds significance for predicting natural hazards and managing water resources for agricultural purposes and ecosystem health. The escalating occurrence of rain-on-snow (ROS) events, attributed to winter warming, has the potential to trigger natural hazards and surface runoff into major river systems in temperate climate regions. End member mixing calculations (EMMC) based on isotopic and chemical tracers were employed to quantify the proportions of rainwater, meltwater, and pore water within the snowpack discharge. In this study, artificial rain-on-snow experiments involving conservative anions and stable water isotopes were conducted at the surface of snowpack to differentiate each component (rainwater, pore water, and snowmelt) within the discharge collected at the bottom of the snowpack. Pore water content exhibited a shift from 1.1 ± 1.1% (± 1σ, <i>N</i> = 23) after the initial artificial ROS event to 2.8 ± 1.2% (± 1σ, <i>N</i> = 19) following the spray in our experiment. Based on the EMMC, the contributions of rainfall, pore water, and snowmelt to the meltwater discharge were 2,620.2 L (63.3%), 829.0 L (20.0%), and 687.4 L (16.6%), respectively. Notably, contrary to prior studies, our experimental results suggest that rainwater reached the bottom through multiple rapid flow channels before matrix flow occurred. This experimental approach provides additional insights into the dynamics of water percolation in snowpacks during rain-on-snow events.</p></div>","PeriodicalId":8374,"journal":{"name":"Applied Water Science","volume":"14 12","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13201-024-02314-z.pdf","citationCount":"0","resultStr":"{\"title\":\"Separations of meltwater discharge in a snowpack by artificial rain-on-snow experiments\",\"authors\":\"Jeonghoon Lee, Hyejung Jung\",\"doi\":\"10.1007/s13201-024-02314-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In temperate regions, snow and its meltwater constitute primary freshwater resources and snowmelt isotopes offer valuable insights into understanding the snowmelt processes including the timing and contribution of snowmelt to the soil and watershed in spring. Assessing the storage and movement of liquid water within natural snowpacks, a previously unquantified aspect, holds significance for predicting natural hazards and managing water resources for agricultural purposes and ecosystem health. The escalating occurrence of rain-on-snow (ROS) events, attributed to winter warming, has the potential to trigger natural hazards and surface runoff into major river systems in temperate climate regions. End member mixing calculations (EMMC) based on isotopic and chemical tracers were employed to quantify the proportions of rainwater, meltwater, and pore water within the snowpack discharge. In this study, artificial rain-on-snow experiments involving conservative anions and stable water isotopes were conducted at the surface of snowpack to differentiate each component (rainwater, pore water, and snowmelt) within the discharge collected at the bottom of the snowpack. Pore water content exhibited a shift from 1.1 ± 1.1% (± 1σ, <i>N</i> = 23) after the initial artificial ROS event to 2.8 ± 1.2% (± 1σ, <i>N</i> = 19) following the spray in our experiment. Based on the EMMC, the contributions of rainfall, pore water, and snowmelt to the meltwater discharge were 2,620.2 L (63.3%), 829.0 L (20.0%), and 687.4 L (16.6%), respectively. Notably, contrary to prior studies, our experimental results suggest that rainwater reached the bottom through multiple rapid flow channels before matrix flow occurred. This experimental approach provides additional insights into the dynamics of water percolation in snowpacks during rain-on-snow events.</p></div>\",\"PeriodicalId\":8374,\"journal\":{\"name\":\"Applied Water Science\",\"volume\":\"14 12\",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s13201-024-02314-z.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Water Science\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s13201-024-02314-z\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Water Science","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s13201-024-02314-z","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
摘要
在温带地区,积雪及其融水构成了主要的淡水资源,融雪同位素为了解融雪过程(包括春季融雪进入土壤和流域的时间和贡献)提供了宝贵的见解。评估天然雪堆中液态水的储存和流动是一个以前未曾量化的方面,对于预测自然灾害、管理农业水资源和生态系统健康具有重要意义。由于冬季气候变暖,雪地降雨(ROS)事件不断增多,有可能引发自然灾害,并导致地表径流进入温带气候地区的主要河流系统。基于同位素和化学示踪剂的末端混合计算(EMMC)被用来量化雪堆排水中雨水、融水和孔隙水的比例。在这项研究中,在雪堆表面进行了涉及保守阴离子和稳定水同位素的人工降雨实验,以区分在雪堆底部收集到的排水中的每种成分(雨水、孔隙水和融雪)。在我们的实验中,孔隙水含量从最初人工 ROS 事件后的 1.1 ± 1.1% (± 1σ, N = 23) 转移到喷洒后的 2.8 ± 1.2% (± 1σ, N = 19)。从EMMC来看,降雨、孔隙水和融雪对融水排放的贡献分别为2,620.2升(63.3%)、829.0升(20.0%)和687.4升(16.6%)。值得注意的是,与之前的研究相反,我们的实验结果表明,在基质流发生之前,雨水通过多个快速流道到达底部。这种实验方法为了解雨雪天气雪堆中水的渗流动力学提供了更多的启示。
Separations of meltwater discharge in a snowpack by artificial rain-on-snow experiments
In temperate regions, snow and its meltwater constitute primary freshwater resources and snowmelt isotopes offer valuable insights into understanding the snowmelt processes including the timing and contribution of snowmelt to the soil and watershed in spring. Assessing the storage and movement of liquid water within natural snowpacks, a previously unquantified aspect, holds significance for predicting natural hazards and managing water resources for agricultural purposes and ecosystem health. The escalating occurrence of rain-on-snow (ROS) events, attributed to winter warming, has the potential to trigger natural hazards and surface runoff into major river systems in temperate climate regions. End member mixing calculations (EMMC) based on isotopic and chemical tracers were employed to quantify the proportions of rainwater, meltwater, and pore water within the snowpack discharge. In this study, artificial rain-on-snow experiments involving conservative anions and stable water isotopes were conducted at the surface of snowpack to differentiate each component (rainwater, pore water, and snowmelt) within the discharge collected at the bottom of the snowpack. Pore water content exhibited a shift from 1.1 ± 1.1% (± 1σ, N = 23) after the initial artificial ROS event to 2.8 ± 1.2% (± 1σ, N = 19) following the spray in our experiment. Based on the EMMC, the contributions of rainfall, pore water, and snowmelt to the meltwater discharge were 2,620.2 L (63.3%), 829.0 L (20.0%), and 687.4 L (16.6%), respectively. Notably, contrary to prior studies, our experimental results suggest that rainwater reached the bottom through multiple rapid flow channels before matrix flow occurred. This experimental approach provides additional insights into the dynamics of water percolation in snowpacks during rain-on-snow events.