{"title":"Assessing the influence of temperature on slope stability in a temperate climate: A nationwide spatial probability analysis in Italy","authors":"Marco Loche , Gianvito Scaringi","doi":"10.1016/j.envsoft.2024.106217","DOIUrl":null,"url":null,"abstract":"<div><p>Among landslide controls, the role of temperature in temperate regions remains poorly understood. Experiments revealed thermo-hydro-mechanical effects in geomaterials; however, field evidence of temperature-controlled landsliding is scarce. This complexity hinders the formulation of a temperature-related variable, useable in modelling across scales. Here, we identified spatial correlations between temperature and shallow landslides in gentle clay slopes. Notably, the temperature in the shallow underground is controlled by that of the atmosphere, and clays are the most sensitive to temperature among all geomaterials. Exploiting the Italian Landslide Inventory, we constructed a slope unit-based Generalised Additive Model and utilised Land Surface Temperature (LST) data from MODIS, accessible in Google Earth Engine. Interestingly, we observed a stronger positive correlation between landslides and LST, particularly in southern Italy, where categorised widespread shallow instabilities are common. Although more experiments and site-specific studies are warranted, the observed pattern appears consistent with thermal soil weakening, which may enhance landslide mobility.</p></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"183 ","pages":"Article 106217"},"PeriodicalIF":4.8000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1364815224002780/pdfft?md5=e2de8363b881e91a2f746fb372fa3b6a&pid=1-s2.0-S1364815224002780-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815224002780","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Among landslide controls, the role of temperature in temperate regions remains poorly understood. Experiments revealed thermo-hydro-mechanical effects in geomaterials; however, field evidence of temperature-controlled landsliding is scarce. This complexity hinders the formulation of a temperature-related variable, useable in modelling across scales. Here, we identified spatial correlations between temperature and shallow landslides in gentle clay slopes. Notably, the temperature in the shallow underground is controlled by that of the atmosphere, and clays are the most sensitive to temperature among all geomaterials. Exploiting the Italian Landslide Inventory, we constructed a slope unit-based Generalised Additive Model and utilised Land Surface Temperature (LST) data from MODIS, accessible in Google Earth Engine. Interestingly, we observed a stronger positive correlation between landslides and LST, particularly in southern Italy, where categorised widespread shallow instabilities are common. Although more experiments and site-specific studies are warranted, the observed pattern appears consistent with thermal soil weakening, which may enhance landslide mobility.
在控制山体滑坡的因素中,温度在温带地区的作用仍然鲜为人知。实验揭示了土工材料中的热-水-机械效应;然而,温度控制滑坡的实地证据却很少。这种复杂性阻碍了温度相关变量的制定,而温度相关变量可用于跨尺度建模。在这里,我们确定了温度与缓粘土斜坡浅层滑坡之间的空间相关性。值得注意的是,浅层地下的温度受大气温度控制,而粘土是所有土工材料中对温度最敏感的。利用意大利滑坡清单,我们构建了一个基于斜坡单元的广义相加模型,并利用了可在谷歌地球引擎中访问的 MODIS 提供的地表温度(LST)数据。有趣的是,我们观察到滑坡与 LST 之间存在更强的正相关性,尤其是在意大利南部,那里普遍存在分类广泛的浅层不稳定性。尽管需要进行更多的实验和针对具体地点的研究,但观察到的模式似乎与土壤热减弱一致,这可能会增强滑坡的流动性。
期刊介绍:
Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.