Combining Local Head Differences and Topography-Driven Groundwater Flow Reveals Gaining and Losing Patterns in Stream Networks

IF 5 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2025-02-12 DOI:10.1029/2024wr037443
Xiaohua Huang, Pia Ebeling, Guodong Liu, Jan H. Fleckenstein, Christian Schmidt
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Abstract

The exchange between surface water (SW) and groundwater (GW) influences water availability and ecosystems in stream networks. Assessing GW-SW interactions can be based on various methods at different scales, such as point scale (e.g., local head differences, temperature profiles), reach scale (e.g., environmental tracers, water mass balance), and catchment scale (topographical-driven groundwater flow), which all have distinct advantages and limitations. In this study, we combined the analysis of local hydraulic head differences with regional topographical-driven groundwater flow to robustly reveal gaining and losing stream patterns in two study regions in Central Germany (Bode catchment and Free State of Thuringia). To evaluate local hydraulic gradients, we developed a method for estimating surface water levels across stream networks by modifying surface elevations from a coarse digital elevation model (25 m) and compared these to measured groundwater levels. Our results reveal prevalent occurrences of losing streams. Numerous stream locations are characterized by mismatching classifications from the two methods providing additional insights for understanding water cycles. The most notable discrepancy is the classification as losing based on head differences and gaining from topographic analyses accounting for 37% and 47% of the stream locations in Thuringia and in Bode catchment. This mismatch indicates anthropogenically lowered groundwater levels, typically occurring in urban and mining areas in the study areas. Our approach, combining local hydraulic head analysis and topographical-driven groundwater flow enhances the understanding of gaining and losing stream patterns at catchment scale, revealing widespread occurrences of losing streams and highlighting the significance of anthropogenic influences on water cycles.
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结合局部水头差异和地形驱动的地下水流动揭示了水系网络的得失模式
地表水(SW)和地下水(GW)之间的交换影响着水系的水可用性和生态系统。评估GW-SW相互作用可以基于不同尺度的各种方法,例如点尺度(例如,局部水头差异、温度剖面)、河段尺度(例如,环境示踪剂、水质量平衡)和集水区尺度(地形驱动的地下水流量),它们都具有明显的优势和局限性。在这项研究中,我们将对当地水头差异的分析与区域地形驱动的地下水流量相结合,有力地揭示了德国中部两个研究区域(博德集水区和图林根自由州)的水流模式的增加和减少。为了评估当地的水力梯度,我们开发了一种方法,通过修改粗数字高程模型(25米)的地表高程来估算河流网络的地表水位,并将其与测量的地下水水位进行比较。我们的结果揭示了流丢失的普遍现象。许多河流位置的特点是两种方法的分类不匹配,这为理解水循环提供了额外的见解。最显著的差异是,图林根州和博德集水区37%和47%的河流位置根据水头差异被分类为损失,而根据地形分析被分类为获得。这种不匹配表明人为降低了地下水位,通常发生在研究地区的城市和矿区。我们的方法结合了当地水头分析和地形驱动的地下水流动,增强了对集水区尺度上获得和失去水流模式的理解,揭示了广泛发生的失去水流的现象,并强调了人为影响水循环的重要性。
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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.
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