两场风暴的故事:溶质迁移模型中稳定水同位素的风暴间变异性

IF 3.2 3区 地球科学 Q1 Environmental Science Hydrological Processes Pub Date : 2024-11-17 DOI:10.1002/hyp.15338
Emilio Grande, Brenda K. Delgadillo Moreno, Jean E. Moran
{"title":"两场风暴的故事:溶质迁移模型中稳定水同位素的风暴间变异性","authors":"Emilio Grande,&nbsp;Brenda K. Delgadillo Moreno,&nbsp;Jean E. Moran","doi":"10.1002/hyp.15338","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Stable isotopic methods in hydroclimate monitoring are powerful for improving water resources management, but applications are limited, especially in semi-arid regions where such management is needed most. Here, we show that we can address shortcomings related to the lack of a seasonal signal using stable water isotopic signatures measured in precipitation over the East San Francisco Bay area, California, during two contrasting events sampled at more than 20 locations in the winter of 2023. The observed range in δ<sup>18</sup>O in the rain samples is similar for both storms. However, the distributions do not overlap—the mean air temperature and δ<sup>18</sup>O during Winter Storm Olive (February 2023) were 2°C and − 12‰, respectively, while a warm atmospheric river event (March 2023) had a mean temperature of 9°C and δ<sup>18</sup>O of −6‰, close to the long-term average δ<sup>18</sup>O measured in local precipitation. The Winter Storm showed expected trends in δ<sup>18</sup>O related to geography (i.e., lower with greater distance inland and elevation), while the atmospheric river δ<sup>18</sup>O pattern was more spatially uniform. We use hydrometric data from a gaged watershed in the study area and isotopic signatures of rain sampled during the two storm events and apply a solute transport model (StorAge selection) with a travel-time approach to examine predicted watershed responses and potential water tracing applications. In this virtual experiment, we find that event size exerts a strong control on the relative amounts of runoff versus pre-event water in the stream, while uncertainty in stream hydrograph separation is related to the degree of contrast between precipitation/runoff and pre-event water. Key to flood prediction, adaptation, and mitigation, especially in coastal urban areas, is knowledge of the contributing water sources and timing of stream flow. The strong contrast in stable isotopes between these two events, close in time and over the same area, illustrates the potential to use stable isotope signatures to track the transport and mixing of events through natural and engineered watersheds that are threatened by climate whiplash events.</p>\n </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"38 11","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Tale of Two Storms: Inter-Storm Variability of Stable Water Isotopes in a Solute Transport Model\",\"authors\":\"Emilio Grande,&nbsp;Brenda K. Delgadillo Moreno,&nbsp;Jean E. Moran\",\"doi\":\"10.1002/hyp.15338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Stable isotopic methods in hydroclimate monitoring are powerful for improving water resources management, but applications are limited, especially in semi-arid regions where such management is needed most. Here, we show that we can address shortcomings related to the lack of a seasonal signal using stable water isotopic signatures measured in precipitation over the East San Francisco Bay area, California, during two contrasting events sampled at more than 20 locations in the winter of 2023. The observed range in δ<sup>18</sup>O in the rain samples is similar for both storms. However, the distributions do not overlap—the mean air temperature and δ<sup>18</sup>O during Winter Storm Olive (February 2023) were 2°C and − 12‰, respectively, while a warm atmospheric river event (March 2023) had a mean temperature of 9°C and δ<sup>18</sup>O of −6‰, close to the long-term average δ<sup>18</sup>O measured in local precipitation. The Winter Storm showed expected trends in δ<sup>18</sup>O related to geography (i.e., lower with greater distance inland and elevation), while the atmospheric river δ<sup>18</sup>O pattern was more spatially uniform. We use hydrometric data from a gaged watershed in the study area and isotopic signatures of rain sampled during the two storm events and apply a solute transport model (StorAge selection) with a travel-time approach to examine predicted watershed responses and potential water tracing applications. In this virtual experiment, we find that event size exerts a strong control on the relative amounts of runoff versus pre-event water in the stream, while uncertainty in stream hydrograph separation is related to the degree of contrast between precipitation/runoff and pre-event water. Key to flood prediction, adaptation, and mitigation, especially in coastal urban areas, is knowledge of the contributing water sources and timing of stream flow. The strong contrast in stable isotopes between these two events, close in time and over the same area, illustrates the potential to use stable isotope signatures to track the transport and mixing of events through natural and engineered watersheds that are threatened by climate whiplash events.</p>\\n </div>\",\"PeriodicalId\":13189,\"journal\":{\"name\":\"Hydrological Processes\",\"volume\":\"38 11\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Processes\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hyp.15338\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Processes","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hyp.15338","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

摘要

水文气候监测中的稳定同位素方法对改善水资源管理非常有效,但应用有限,尤其是在最需要此类管理的半干旱地区。在此,我们利用 2023 年冬季在加利福尼亚州东旧金山湾地区 20 多个地点采样的两次对比事件中降水测量到的稳定水同位素特征,证明我们可以解决缺乏季节信号的问题。在两次风暴中,雨水样本中观测到的δ18O 范围相似。然而,两者的分布并不重叠--冬季风暴 Olive(2023 年 2 月)期间的平均气温和 δ18O 分别为 2°C 和 -12‰,而温暖的大气河流事件(2023 年 3 月)的平均气温为 9°C,δ18O 为 -6‰,接近当地降水中测得的δ18O 长期平均值。冬季风暴显示了δ18O 与地理相关的预期趋势(即越靠近内陆和海拔越低),而大气河流的δ18O 模式在空间上更为均匀。我们利用研究区域内一个流域的水文测量数据和两次暴雨事件期间采样的雨水同位素特征,并采用旅行时间法的溶质迁移模型(StorAge selection)来检验预测的流域响应和潜在的水追踪应用。在这一虚拟实验中,我们发现事件大小对溪流中径流与事件前水量的相对数量有很强的控制作用,而溪流水文图分离的不确定性与降水/径流和事件前水量的对比程度有关。洪水预测、适应和缓解的关键,尤其是在沿海城市地区,是了解水流的来源和时间。这两个事件在时间上很接近,而且发生在同一地区,它们在稳定同位素方面的强烈对比说明,可以利用稳定同位素特征来跟踪受气候突变事件威胁的自然流域和工程流域中事件的传输和混合情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Tale of Two Storms: Inter-Storm Variability of Stable Water Isotopes in a Solute Transport Model

Stable isotopic methods in hydroclimate monitoring are powerful for improving water resources management, but applications are limited, especially in semi-arid regions where such management is needed most. Here, we show that we can address shortcomings related to the lack of a seasonal signal using stable water isotopic signatures measured in precipitation over the East San Francisco Bay area, California, during two contrasting events sampled at more than 20 locations in the winter of 2023. The observed range in δ18O in the rain samples is similar for both storms. However, the distributions do not overlap—the mean air temperature and δ18O during Winter Storm Olive (February 2023) were 2°C and − 12‰, respectively, while a warm atmospheric river event (March 2023) had a mean temperature of 9°C and δ18O of −6‰, close to the long-term average δ18O measured in local precipitation. The Winter Storm showed expected trends in δ18O related to geography (i.e., lower with greater distance inland and elevation), while the atmospheric river δ18O pattern was more spatially uniform. We use hydrometric data from a gaged watershed in the study area and isotopic signatures of rain sampled during the two storm events and apply a solute transport model (StorAge selection) with a travel-time approach to examine predicted watershed responses and potential water tracing applications. In this virtual experiment, we find that event size exerts a strong control on the relative amounts of runoff versus pre-event water in the stream, while uncertainty in stream hydrograph separation is related to the degree of contrast between precipitation/runoff and pre-event water. Key to flood prediction, adaptation, and mitigation, especially in coastal urban areas, is knowledge of the contributing water sources and timing of stream flow. The strong contrast in stable isotopes between these two events, close in time and over the same area, illustrates the potential to use stable isotope signatures to track the transport and mixing of events through natural and engineered watersheds that are threatened by climate whiplash events.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Hydrological Processes
Hydrological Processes 环境科学-水资源
CiteScore
6.00
自引率
12.50%
发文量
313
审稿时长
2-4 weeks
期刊介绍: Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.
期刊最新文献
A Comprehensive Evaluation of Agricultural Drought Vulnerability Using Fuzzy-AHP-Based Composite Index Integrating Sensitivity and Adaptive Capacity A Tale of Two Storms: Inter-Storm Variability of Stable Water Isotopes in a Solute Transport Model Geostatistical Interpolation Approach for Improving Flood Simulation Within a Data-Scarce Region in the Tibetan Plateau Assessing the Hydrological Response to Land Use Changes Linking SWAT and CA-Markov Models Parameterizing Haverkamp Model From the Steady-State of Numerically Generated Infiltration: Influence of Algorithms for Steady-State Selection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1