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Integrated time-lapse geoelectrical imaging of wetland hydrological processes

机译:湿地水文过程的时移地电综合成像

摘要

Wetlands provide crucial habitats, are critical in the global carbon cycle, and act as key biogeochemical and hydrological buffers. The effectiveness of these services is mainly controlled by hydrological processes, which can be highly variable both spatially and temporally due to structural complexity and seasonality. Spatial analysis of 2D geoelectrical monitoring data integrated into the interpretation of conventional hydrological data has been implemented to provide a detailed understanding of hydrological processes in a riparian wetland. This study shows that a combination of processes can define the resistivity signature of the shallow subsurface, highlighting the seasonality of these processes and its corresponding effect on biogeochemical processesthe wetland hydrology. Groundwater exchange between peat and the underlying river terrace deposits, spatially and temporally defined by geoelectrical imaging and verified by point sensor data, highlighted the groundwater dependent nature of the wetland. A 30 % increase in peat resistivity was shown to be caused by a nearly entire exchange of the saturating groundwater. For the first time, we showed that automated interpretation of geoelectrical data can be used to quantify shrink-swell of expandable soils, affecting hydrological parameters, such as, porosity, water storage capacity, and permeability. This study shows that an integrated interpretation of hydrological and geophysical data can significantly improve the understanding of wetland hydrological processes. Potentially, this approach can provide the basis for the evaluation of ecosystem services and may aid in the optimization of wetland management strategies.
机译:湿地提供了重要的栖息地,在全球碳循环中至关重要,并作为重要的生物地球化学和水文缓冲。这些服务的有效性主要由水文过程控制,由于结构的复杂性和季节性,水文过程可能在空间和时间上高度变化。已对集成到常规水文数据解释中的2D地电监测数据进行了空间分析,以提供对河岸湿地中水文过程的详细了解。这项研究表明,过程的组合可以定义浅层地下的电阻率特征,突出了这些过程的季节性及其对湿地水文学的生物地球化学过程的相应影响。泥炭与下伏河流阶地沉积物之间的地下水交换(通过地电成像在空间和时间上进行定义并通过点传感器数据进行了验证)突显了湿地的地下水依赖性。泥炭电阻率增加了30%,这是由于饱和地下水几乎全部交换引起的。第一次,我们证明了地电数据的自动解释可用于量化可膨胀土壤的收缩膨胀,从而影响水文参数,例如孔隙度,储水量和渗透率。这项研究表明,对水文和地球物理数据的综合解释可以显着提高对湿地水文过程的了解。这种方法有可能为评估生态系统服务提供基础,并可能有助于优化湿地管理策略。

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