Tracing isotope precipitation patterns across Mexico

Ricardo Sánchez-Murillo, Luis González-Hita, Miguel A. Mejía-González, Blanca Carteño-Martinez, Juan C. Aparicio-González, Dustin Mañón-Flores, Lucía Ortega, Milica Stojanovic, Raquel Nieto, Luis Gimeno
{"title":"Tracing isotope precipitation patterns across Mexico","authors":"Ricardo Sánchez-Murillo, Luis González-Hita, Miguel A. Mejía-González, Blanca Carteño-Martinez, Juan C. Aparicio-González, Dustin Mañón-Flores, Lucía Ortega, Milica Stojanovic, Raquel Nieto, Luis Gimeno","doi":"10.1371/journal.pwat.0000136","DOIUrl":null,"url":null,"abstract":"Mexico encompasses a large spectrum of landscapes with topographic, geographic, and climatic factors interacting in a complex ecohydrological setting. For decades, isotope hydrogeological tools have been applied in Mexico using short-term or seasonal local meteoric water lines as valid input functions. Yet, a systematic evaluation of meteoric isotope characteristics is still lacking. Here we report on the spatial and temporal isotope variations of 21 precipitation monitoring stations across Mexico. Our database includes 608 monthly samples collected from 2018 to 2021 over four regions (between 5 and 2,365 m asl): the Pacific coast, the Gulf of Mexico/Caribbean Sea region, and the Central and Northern plateaus. Precipitation δ 18 O seasonality from the dry (winter) to the wet season (summer) was characterized by a notable W-shaped variability. Monthly precipitation amounts and δ 18 O compositions exhibited poor to strong linear regressions ( Adj . r 2 <0.01 to 0.75), with inverse (positive) relationships over the northern monsoon-affected region. Low d -excess (5.1 to 9.7‰) corresponded with greater terrestrial moisture contributions (20.5%) over the arid northern regions. Moisture inputs from the Gulf of Mexico/Caribbean Sea and the Pacific Ocean were associated with near-equilibrium or greater d -excess values (8.8 to 14.3‰), respectively. The best-fit linear models for δ 18 O ( Adj . r 2 = 0.85) and δ 2 H ( Adj . r 2 = 0.88) were determined for topographic and geographical predictors, resulting in an updated high-resolution precipitation isoscape (100 m 2 grid) for Mexico. Orographic barriers (-2.10‰ in δ 18 O/km) coupled with the interaction of tropical cyclones and cold fronts, the evolution of the North American Monsoon system, and the passage of easterly trade winds play a remarkable role in controlling the spatial isotope rainfall variability. Our findings provide a robust baseline for ecohydrological, climatic, forensic, archeological, and paleoclimate studies in North America.","PeriodicalId":93672,"journal":{"name":"PLOS water","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS water","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pwat.0000136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Mexico encompasses a large spectrum of landscapes with topographic, geographic, and climatic factors interacting in a complex ecohydrological setting. For decades, isotope hydrogeological tools have been applied in Mexico using short-term or seasonal local meteoric water lines as valid input functions. Yet, a systematic evaluation of meteoric isotope characteristics is still lacking. Here we report on the spatial and temporal isotope variations of 21 precipitation monitoring stations across Mexico. Our database includes 608 monthly samples collected from 2018 to 2021 over four regions (between 5 and 2,365 m asl): the Pacific coast, the Gulf of Mexico/Caribbean Sea region, and the Central and Northern plateaus. Precipitation δ 18 O seasonality from the dry (winter) to the wet season (summer) was characterized by a notable W-shaped variability. Monthly precipitation amounts and δ 18 O compositions exhibited poor to strong linear regressions ( Adj . r 2 <0.01 to 0.75), with inverse (positive) relationships over the northern monsoon-affected region. Low d -excess (5.1 to 9.7‰) corresponded with greater terrestrial moisture contributions (20.5%) over the arid northern regions. Moisture inputs from the Gulf of Mexico/Caribbean Sea and the Pacific Ocean were associated with near-equilibrium or greater d -excess values (8.8 to 14.3‰), respectively. The best-fit linear models for δ 18 O ( Adj . r 2 = 0.85) and δ 2 H ( Adj . r 2 = 0.88) were determined for topographic and geographical predictors, resulting in an updated high-resolution precipitation isoscape (100 m 2 grid) for Mexico. Orographic barriers (-2.10‰ in δ 18 O/km) coupled with the interaction of tropical cyclones and cold fronts, the evolution of the North American Monsoon system, and the passage of easterly trade winds play a remarkable role in controlling the spatial isotope rainfall variability. Our findings provide a robust baseline for ecohydrological, climatic, forensic, archeological, and paleoclimate studies in North America.
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
追踪整个墨西哥的同位素降水模式
墨西哥包含了地形、地理和气候因素在复杂的生态水文环境中相互作用的大范围景观。几十年来,同位素水文地质工具已在墨西哥应用,使用短期或季节性当地大气水线作为有效的输入函数。然而,目前还缺乏对大气同位素特征的系统评价。本文报告了墨西哥21个降水监测站的时空同位素变化。我们的数据库包括2018年至2021年在四个地区(海拔5至2365米)收集的608个月度样本:太平洋沿岸、墨西哥湾/加勒比海地区以及中部和北部高原。降水δ 18o从干季(冬季)到湿季(夏季)的季节变化特征为显著的w型变异。月降水量和δ 18o组成表现出弱至强的线性回归。r2 <0.01至0.75),在受季风影响的北部地区呈反比(正)关系。低d -过剩(5.1 ~ 9.7‰)对应于北部干旱地区较大的陆地水分贡献(20.5%)。来自墨西哥湾/加勒比海和太平洋的水汽输入分别与接近平衡或更大的d -过剩值(8.8 ~ 14.3‰)相关。δ 18o (δ 18o)的线性拟合模型。r 2 = 0.85)和δ 2h (Adj。r 2 = 0.88)用于地形和地理预测,从而得到墨西哥最新的高分辨率降水等值线图(100 m2网格)。地形障碍(δ 18 O/km -2.10‰)、热带气旋和冷锋的相互作用、北美季风系统的演变和偏东风的信风的通过对空间同位素降水变异的控制作用显著。我们的发现为北美的生态水文、气候、法医、考古和古气候研究提供了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Assessing state partner use of the Model Aquatic Health Code (MAHC): A cross comparison of five states with varying degrees of self-reported adoption status Virtual water flows in a real world Optimizing machine learning for water safety: A comparative analysis with dimensionality reduction and classifier performance in potability prediction Assessing the sustained effects of a water filter intervention: A 30-month longitudinal study in Rwamagana, Rwanda 222 nm causes greater protein damage and repair inhibition of E. coli than 254 nm for water disinfection
×
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