一个大盆地中受地下水流控制的地下水硝酸盐浓度时空变化:来自多同位素(15N、11B、18O 和 2H )的证据

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2024-01-12 DOI:10.1029/2023wr035299
Hairu Mao, Guangcai Wang, Fu Liao, Zheming Shi, Zhi Rao, Hongyu Zhang, Zhiyuan Qiao, Yunfei Bai, Xianglong Chen, Xin Yan, Chenyu Wang, Yang Yang
{"title":"一个大盆地中受地下水流控制的地下水硝酸盐浓度时空变化:来自多同位素(15N、11B、18O 和 2H )的证据","authors":"Hairu Mao, Guangcai Wang, Fu Liao, Zheming Shi, Zhi Rao, Hongyu Zhang, Zhiyuan Qiao, Yunfei Bai, Xianglong Chen, Xin Yan, Chenyu Wang, Yang Yang","doi":"10.1029/2023wr035299","DOIUrl":null,"url":null,"abstract":"Elevated and increasing <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0001\" display=\"inline\" location=\"graphic/wrcr27032-math-0001.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> concentration in groundwater affect groundwater supplies in China and elsewhere. However, how groundwater flow affects <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0002\" display=\"inline\" location=\"graphic/wrcr27032-math-0002.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> concentration in groundwater has yet to be fully understood. Herein, multi-isotopes (<sup>15</sup>N, <sup>11</sup>B, <sup>18</sup>O, and <sup>2</sup>H) and local indicators of spatial association (LISA) were used to elucidate the spatiotemporal variation, sources, and patterns of <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0003\" display=\"inline\" location=\"graphic/wrcr27032-math-0003.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> and its response to groundwater flow in Poyang Lake Basin where agriculture, industry and urban coexist. The location of <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0004\" display=\"inline\" location=\"graphic/wrcr27032-math-0004.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> hotspots identified by LISA tended to move from the middle to lower reaches of Ganfu Plain with groundwater flow, and hotspots area expanded in the upper reaches of Xin River Basin and northwest of the study area during the transition from dry season to wet season. Our results revealed that variations of regional <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0005\" display=\"inline\" location=\"graphic/wrcr27032-math-0005.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> concentration were controlled by groundwater recharge or flow mode (vertical or lateral), biogeochemical processes and sources (sewage and manure). In some areas with the single stratigraphic structure (unconfined aquifer), spatiotemporal variation of <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0006\" display=\"inline\" location=\"graphic/wrcr27032-math-0006.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> concentration was influenced by local pollution sources and vertical recharge of current precipitation (vertical flow). In some areas with binary structures (confined aquifer), groundwater was mainly recharged by lateral flow and <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0007\" display=\"inline\" location=\"graphic/wrcr27032-math-0007.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> concentration was mainly affected by mixing effect of upstream groundwater, reflecting human activities in the upper reaches rather than local human activities. In lakeside floodplain, groundwater <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0008\" display=\"inline\" location=\"graphic/wrcr27032-math-0008.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> was attenuated by the dissimilatory <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0009\" display=\"inline\" location=\"graphic/wrcr27032-math-0009.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> reduction to <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0010\" display=\"inline\" location=\"graphic/wrcr27032-math-0010.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NH</mtext>\n<mn>4</mn>\n</msub>\n<mo>+</mo>\n</msup>\n</mrow>\n${{\\text{NH}}_{4}}^{+}$</annotation>\n</semantics></math>. This study provides a novel insight into groundwater flow controlling on spatiotemporal distribution of <math altimg=\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0011\" display=\"inline\" location=\"graphic/wrcr27032-math-0011.png\">\n<semantics>\n<mrow>\n<msup>\n<msub>\n<mtext>NO</mtext>\n<mn>3</mn>\n</msub>\n<mo>−</mo>\n</msup>\n</mrow>\n${{\\text{NO}}_{3}}^{-}$</annotation>\n</semantics></math> concentration in the regional scale.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"39 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi-Isotopes (15N, 11B, 18O, and 2H)\",\"authors\":\"Hairu Mao, Guangcai Wang, Fu Liao, Zheming Shi, Zhi Rao, Hongyu Zhang, Zhiyuan Qiao, Yunfei Bai, Xianglong Chen, Xin Yan, Chenyu Wang, Yang Yang\",\"doi\":\"10.1029/2023wr035299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Elevated and increasing <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0001\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0001.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> concentration in groundwater affect groundwater supplies in China and elsewhere. However, how groundwater flow affects <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0002\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0002.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> concentration in groundwater has yet to be fully understood. Herein, multi-isotopes (<sup>15</sup>N, <sup>11</sup>B, <sup>18</sup>O, and <sup>2</sup>H) and local indicators of spatial association (LISA) were used to elucidate the spatiotemporal variation, sources, and patterns of <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0003\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0003.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> and its response to groundwater flow in Poyang Lake Basin where agriculture, industry and urban coexist. The location of <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0004\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0004.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> hotspots identified by LISA tended to move from the middle to lower reaches of Ganfu Plain with groundwater flow, and hotspots area expanded in the upper reaches of Xin River Basin and northwest of the study area during the transition from dry season to wet season. Our results revealed that variations of regional <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0005\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0005.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> concentration were controlled by groundwater recharge or flow mode (vertical or lateral), biogeochemical processes and sources (sewage and manure). In some areas with the single stratigraphic structure (unconfined aquifer), spatiotemporal variation of <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0006\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0006.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> concentration was influenced by local pollution sources and vertical recharge of current precipitation (vertical flow). In some areas with binary structures (confined aquifer), groundwater was mainly recharged by lateral flow and <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0007\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0007.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> concentration was mainly affected by mixing effect of upstream groundwater, reflecting human activities in the upper reaches rather than local human activities. In lakeside floodplain, groundwater <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0008\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0008.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> was attenuated by the dissimilatory <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0009\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0009.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> reduction to <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0010\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0010.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NH</mtext>\\n<mn>4</mn>\\n</msub>\\n<mo>+</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NH}}_{4}}^{+}$</annotation>\\n</semantics></math>. This study provides a novel insight into groundwater flow controlling on spatiotemporal distribution of <math altimg=\\\"urn:x-wiley:00431397:media:wrcr27032:wrcr27032-math-0011\\\" display=\\\"inline\\\" location=\\\"graphic/wrcr27032-math-0011.png\\\">\\n<semantics>\\n<mrow>\\n<msup>\\n<msub>\\n<mtext>NO</mtext>\\n<mn>3</mn>\\n</msub>\\n<mo>−</mo>\\n</msup>\\n</mrow>\\n${{\\\\text{NO}}_{3}}^{-}$</annotation>\\n</semantics></math> concentration in the regional scale.\",\"PeriodicalId\":23799,\"journal\":{\"name\":\"Water Resources Research\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-01-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Resources Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1029/2023wr035299\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2023wr035299","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

地下水中 NO3-${{text\{NO}}_{3}}^{-}$ 浓度的升高和增加会影响中国和其他地区的地下水供应。然而,地下水流如何影响地下水中 NO3-${text{NO}}_{3}}^{-}$ 的浓度尚未完全清楚。本文采用多同位素(15N、11B、18O和2H)和空间关联局域指标(LISA),阐明了鄱阳湖流域农业、工业和城市共存的地下水中NO3-${text{NO}}_{3}^{-}$的时空变化、来源和模式及其对地下水流的响应。在旱季向雨季过渡期间,LISA 发现的 NO3-${{text{NO}}_{3}^{-}$热点位置随地下水流向有从赣抚平原中下游移动的趋势,热点区域在新河流域上游和研究区西北部扩大。研究结果表明,区域NO3-${{text\{NO}}_{3}}^{-}$浓度的变化受地下水补给或流动方式(垂直或侧向)、生物地球化学过程和来源(污水和粪便)的控制。在一些具有单一地层结构(非承压含水层)的地区,NO3-${{text\{NO}}_{3}^{-}$浓度的时空变化受到当地污染源和当前降水的垂直补给(垂直流)的影响。)在一些具有二元结构的地区(承压含水层),地下水主要由侧向流补给,NO3-${{text{NO}}_{3}^{-}$浓度主要受上游地下水混合效应的影响,反映了上游的人类活动而非当地的人类活动。在湖边冲积平原,地下水 NO3-${{text{NO}}_{3}^{-}$ 被异化作用 NO3-${{text{NO}}_{3}}^{-}$ 还原成 NH4+${{text{NH}}_{4}}^{+}$ 所削弱。这项研究为了解地下水流对区域尺度上 NO3-${{text{NO}}_{3}^{-}$ 浓度时空分布的影响提供了新的视角。
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
Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi-Isotopes (15N, 11B, 18O, and 2H)
Elevated and increasing NO 3 ${{\text{NO}}_{3}}^{-}$ concentration in groundwater affect groundwater supplies in China and elsewhere. However, how groundwater flow affects NO 3 ${{\text{NO}}_{3}}^{-}$ concentration in groundwater has yet to be fully understood. Herein, multi-isotopes (15N, 11B, 18O, and 2H) and local indicators of spatial association (LISA) were used to elucidate the spatiotemporal variation, sources, and patterns of NO 3 ${{\text{NO}}_{3}}^{-}$ and its response to groundwater flow in Poyang Lake Basin where agriculture, industry and urban coexist. The location of NO 3 ${{\text{NO}}_{3}}^{-}$ hotspots identified by LISA tended to move from the middle to lower reaches of Ganfu Plain with groundwater flow, and hotspots area expanded in the upper reaches of Xin River Basin and northwest of the study area during the transition from dry season to wet season. Our results revealed that variations of regional NO 3 ${{\text{NO}}_{3}}^{-}$ concentration were controlled by groundwater recharge or flow mode (vertical or lateral), biogeochemical processes and sources (sewage and manure). In some areas with the single stratigraphic structure (unconfined aquifer), spatiotemporal variation of NO 3 ${{\text{NO}}_{3}}^{-}$ concentration was influenced by local pollution sources and vertical recharge of current precipitation (vertical flow). In some areas with binary structures (confined aquifer), groundwater was mainly recharged by lateral flow and NO 3 ${{\text{NO}}_{3}}^{-}$ concentration was mainly affected by mixing effect of upstream groundwater, reflecting human activities in the upper reaches rather than local human activities. In lakeside floodplain, groundwater NO 3 ${{\text{NO}}_{3}}^{-}$ was attenuated by the dissimilatory NO 3 ${{\text{NO}}_{3}}^{-}$ reduction to NH 4 + ${{\text{NH}}_{4}}^{+}$ . This study provides a novel insight into groundwater flow controlling on spatiotemporal distribution of NO 3 ${{\text{NO}}_{3}}^{-}$ concentration in the regional scale.
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
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
期刊最新文献
Quantifying Streambed Grain Size, Uncertainty, and Hydrobiogeochemical Parameters Using Machine Learning Model YOLO iFLOW: A Framework and GUI to Quantify Effective Thermal Diffusivity and Advection in Permeable Materials From Temperature Time Series Assessing Potential Groundwater Storage Capacity for Sustainable Groundwater Management in the Transitioning Post-Subsidence Metropolitan Area Zeta Potential of Supercritical CO2-Water-Sandstone Systems and Its Correlation With Wettability and Residual Subsurface Trapping of CO2 Measuring River Surface Velocity Using UAS-Borne Doppler Radar
×
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