Scholarlink

<p>The temperature of groundwater affects its quality and thus influences groundwater ecosystems and drinking water supply. Numerous studies have demonstrated a&#xa0;dependency of groundwater temperature on surface temperature, which can also be derived from remote sensing data. This study focuses on extending this approach from single measurements to monthly mean values from time series, which is considered essential for tracking the warming of groundwater bodies under the influence of climate change. The Upper Rhine Plain serves as study area, as it is a&#xa0;groundwater-rich region of great importance for regional drinking water supply and is located in one of the warmest regions in Germany. Here, we examine the relationship between satellite-based land surface temperature (LST) measurements and local groundwater temperatures over a&#xa0;five-year period. Specifically, data from 19&#xa0;groundwater monitoring stations and air temperature data from four nearby climate stations for the period November 2016 to April 2022 were used and combined with LST data from the MODIS Terra satellite. Pronounced seasonal temperature variations were observed down to depths of 9 m, with depth-dependent time lags of 2&#xa0;to 8&#xa0;months between groundwater temperature signals relative to air and land surface temperatures. The time lag could be determined and accounted for at 15&#xa0;sites, resulting in strong and highly significant (<i>p</i> &lt; 0.001) positive correlations of groundwater temperature with both AT and local LST. Our findings demonstrate that monthly mean air and land surface temperatures can be used to estimate shallow groundwater temperature trends in the Upper Rhine Plain, also suggesting a&#xa0;broad applicability of this approach in other regions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Raumzeitliche Zusammenhänge zwischen Oberflächentemperaturen und Grundwassertemperaturen im Oberrheinischen Tiefland – Anwendungsmöglichkeiten von Fernerkundungsdaten

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月13日

查看全文
  • Amanda Alber,
  • Andreas Braun,
  • Harald Neidhardt

摘要

The temperature of groundwater affects its quality and thus influences groundwater ecosystems and drinking water supply. Numerous studies have demonstrated a dependency of groundwater temperature on surface temperature, which can also be derived from remote sensing data. This study focuses on extending this approach from single measurements to monthly mean values from time series, which is considered essential for tracking the warming of groundwater bodies under the influence of climate change. The Upper Rhine Plain serves as study area, as it is a groundwater-rich region of great importance for regional drinking water supply and is located in one of the warmest regions in Germany. Here, we examine the relationship between satellite-based land surface temperature (LST) measurements and local groundwater temperatures over a five-year period. Specifically, data from 19 groundwater monitoring stations and air temperature data from four nearby climate stations for the period November 2016 to April 2022 were used and combined with LST data from the MODIS Terra satellite. Pronounced seasonal temperature variations were observed down to depths of 9 m, with depth-dependent time lags of 2 to 8 months between groundwater temperature signals relative to air and land surface temperatures. The time lag could be determined and accounted for at 15 sites, resulting in strong and highly significant (p < 0.001) positive correlations of groundwater temperature with both AT and local LST. Our findings demonstrate that monthly mean air and land surface temperatures can be used to estimate shallow groundwater temperature trends in the Upper Rhine Plain, also suggesting a broad applicability of this approach in other regions.