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Land subsidence modelling for decision making on groundwater abstraction under emergency situation

机译：紧急情况下地下水抽象决策土地沉降模型

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This study presents an inversion scheme with uncertainty analysis for a land subsidence modelling by a Monte Carlo filter in order to contribute to the decision-making on the groundwater abstraction. For real time prediction and uncertainty analysis under the limited computational resources and available information in emergency situations, one dimensional vertical land subsidence simulation was adopted for the forward modelling and the null-space Monte Carlo method was applied for the effective resampling. The proposed scheme was tested with the existing land subsidence monitoring data in Tokyo lowland, Japan. The results demonstrated that the prediction uncertainty converges and the prediction accuracy improves as the observed data increased with time. The computational time was also confirmed to be acceptable range for a real time execution with a laptop.
机译：本研究提出了一种具有蒙特卡洛滤波器的土地沉降建模的不确定性分析的反演方案，以便有助于对地下水抽象的决策。 对于在紧急情况下的有限计算资源和可用信息下的实时预测和不确定性分析，采用了一维垂直地沉降模拟，用于前进建模，零空间蒙特卡罗方法应用于有效重采样。 拟议的计划与日本东京低地的现有土地沉降监测数据进行了测试。 结果表明，随着观察到的数据随时间的增加，预测不确定性收敛和预测精度提高。 还确认计算时间是用笔记本电脑执行的实时执行的可接受范围。

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