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Geotechnical in situ measures to improve landslides forecasting models: A case study in Tuscany (Central Italy)

机译:改善滑坡预测模型的岩土工程现场措施:以托斯卡纳为例(意大利中部)

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In Tuscany (Central Italy) hillslopes are often affected by landslides that mainly involve the shallow regolith (i.e. the first 2 m) and the soil. An assessment of the factors controlling the geotechnical and hydrological features is crucial to understand the occurrence of slope instability mechanisms. The aim of this study is to improve the reliability of the outputs of the deterministic HIRESSS (HIgh REsolution Slope Stability Simulator) model. This software makes use of Monte Carlo simulation techniques to manage the uncertainty inherent in the geotechnical and hydrological input parameters. In situ determinations of geotechnical properties were made to assess the variation and uncertainty in these parameters. The data collected allowed a map of the input parameters for HIRESSS to be made, and a case study in the northern-western part of Tuscany have been evaluated. So far, the difficulty in determining the soil initial saturation state didn’t allowed to achieve a fully satisfying result in terms of prediction reliability. However, a step further has been made and the simulations performed making use of the in situ collected data are expected to show substantial improvement in the results compared to the use of literature parameters.
机译:在托斯卡纳(意大利中部),山坡经常受到滑坡的影响,滑坡主要涉及浅层砾岩(即前2 m)和土壤。评估控制岩土和水文特征的因素对于了解边坡失稳机制的发生至关重要。这项研究的目的是提高确定性HIRESSS(高分辨力边坡稳定性模拟器)模型输出的可靠性。该软件利用蒙特卡洛模拟技术来管理岩土和水文输入参数中固有的不确定性。对岩土特性进行了现场测定,以评估这些参数的变化和不确定性。收集的数据允许制作HIRESSS的输入参数图,并且已经评估了托斯卡纳西北部的案例研究。到目前为止,在确定土壤初始饱和状态方面的困难并不能在预测可靠性方面获得完全令人满意的结果。但是,已经采取了进一步的措施,与使用文献参数相比,利用原位收集的数据进行的模拟有望显示出实质性的改善。

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