Time-lapse electrical resistivity tomography (ERT) can be used to image a wide variety of subsurface processes. It is often necessary to remove the effects of seasonal near-surface temperature variability in order to interpret the signal of interest. Here, we use a synthetic modeling approach to explore the challenges related to removing temperature effects from ERT data in seasonally frozen ground. Electrical resistivity tomography data collection and processing methods that are often used to improve resolution in frozen ground do not appreciably improve the accuracy of temperature corrected data. A sensitivity analysis showed that errors in the temperature corrected data are primarily caused by error in the inverted resistivity models, and that this sensitivity to model error is much higher in partially frozen ground than in unfrozen ground.

中文翻译：

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消除温度对在部分冻土中收集的电阻率层析成像数据的影响：现场应用的限制和注意事项

延时电阻率断层扫描 (ERT) 可用于对各种地下过程进行成像。为了解释感兴趣的信号，通常需要消除季节性近地表温度变化的影响。在这里，我们使用合成建模方法来探索与从季节性冻土的 ERT 数据中消除温度影响相关的挑战。通常用于提高冻土分辨率的电阻率层析成像数据收集和处理方法并不能显着提高温度校正数据的准确性。敏感性分析表明，温度校正数据的误差主要是由反演电阻率模型中的误差引起的，并且这种对模型误差的敏感性在部分冻结的地面中比在未冻结的地面中高得多。