Increasing Trends of Shallow Groundwater Warming in Vienna's Urban Aquifers

IF 3.2 3区 地球科学 Q1 Environmental Science
Eva Kaminsky, Gregor Laaha, Cornelia Steiner, Eszter Buga-Nyéki, Constanze Englisch, Christian Griebler, Christine Stumpp
{"title":"Increasing Trends of Shallow Groundwater Warming in Vienna's Urban Aquifers","authors":"Eva Kaminsky,&nbsp;Gregor Laaha,&nbsp;Cornelia Steiner,&nbsp;Eszter Buga-Nyéki,&nbsp;Constanze Englisch,&nbsp;Christian Griebler,&nbsp;Christine Stumpp","doi":"10.1002/hyp.70076","DOIUrl":null,"url":null,"abstract":"<p>Shallow groundwater in many cities around the world is subject to elevated temperatures that pose a risk to the groundwater quality and ecosystems. The objective of this study is to assess the suitability of different trend estimation methods for groundwater temperature and to specifically investigate the spatio-temporal long-term changes of water temperature in the urban groundwater of Vienna. Twenty-year data records (2001–2020) from different sources were used to assess changes in air, soil, river and groundwater temperature regarding their annual mean and extreme percentile values. The effects of data quality, different trend methods, and various time periods of analysis were investigated. Block bootstrapping in combination with the Mann–Kendall trend test was found to be a suitable method for determining the significance of mean trends if the time-series are short (10 years), as the underlying assumptions are lowest among all approaches. Between 2001 and 2020, the average annual temperature in Vienna increased by 0.9 K/decade for shallow groundwater and by 0.8 K/decade for air. However, the increase is not linear and has intensified in the later decade with an increase of 1.4 K/decade. The trends in extreme temperatures, represented by the lower (cold) / upper (warm) 10th percentile of air, soil and groundwater temperatures in the quantile regression, show the strongest increase in the lower 10th percentile of all air and soil temperatures. For groundwater, these extreme value trends are site-specific and influenced by urban infrastructure and the interaction of groundwater with river water. These results underline the importance of spatially and temporally high-resolution data and highlight the need for site-specific aquifer characterisation for the sustainable use of shallow geothermal energy for heating and cooling. The trend of GWT rise in the urban aquifer needs to be considered in water management to avoid possible negative consequences for water quality and ecology.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 2","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70076","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Processes","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hyp.70076","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

Abstract

Shallow groundwater in many cities around the world is subject to elevated temperatures that pose a risk to the groundwater quality and ecosystems. The objective of this study is to assess the suitability of different trend estimation methods for groundwater temperature and to specifically investigate the spatio-temporal long-term changes of water temperature in the urban groundwater of Vienna. Twenty-year data records (2001–2020) from different sources were used to assess changes in air, soil, river and groundwater temperature regarding their annual mean and extreme percentile values. The effects of data quality, different trend methods, and various time periods of analysis were investigated. Block bootstrapping in combination with the Mann–Kendall trend test was found to be a suitable method for determining the significance of mean trends if the time-series are short (10 years), as the underlying assumptions are lowest among all approaches. Between 2001 and 2020, the average annual temperature in Vienna increased by 0.9 K/decade for shallow groundwater and by 0.8 K/decade for air. However, the increase is not linear and has intensified in the later decade with an increase of 1.4 K/decade. The trends in extreme temperatures, represented by the lower (cold) / upper (warm) 10th percentile of air, soil and groundwater temperatures in the quantile regression, show the strongest increase in the lower 10th percentile of all air and soil temperatures. For groundwater, these extreme value trends are site-specific and influenced by urban infrastructure and the interaction of groundwater with river water. These results underline the importance of spatially and temporally high-resolution data and highlight the need for site-specific aquifer characterisation for the sustainable use of shallow geothermal energy for heating and cooling. The trend of GWT rise in the urban aquifer needs to be considered in water management to avoid possible negative consequences for water quality and ecology.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
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.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信