Including root reinforcement variability in a probabilistic 3D stability model

机译：包括概率3D稳定性模型中的根强化变异性

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Abstract >Forests play a significant role in protecting people, settlements in mountainous terrains from hydrogeomorphic hazards, including shallow landslides. Although several studies have investigated the interactions between forests and slope instabilities, a full understanding of them has not yet been obtained. Additionally, models that incorporate forest stand properties into slope failure probability analyses have not been developed. In principle, physical‐based models, which are powerful tools for landslide hazard analyses, represent an appropriate approach to linking stand properties and slope stability. However, the reliability of these models depends on numerous parameters that describe highly complex geotechnical and hydrological processes (e.g. potential failure depth, saturation ratio, root reinforcement, etc.) that are difficult to measure and model. In particular, the spatial heterogeneity of root reinforcement remains a problem, and the use of physically based models from a forest management perspective has been limited. >This paper presents a procedure for assessing slope stability in terms of the Factor of Safety that accounts for forest stand characteristics such as tree density, average diameter at breast height and minimum distance between trees. The procedure combines a three‐dimensional (3D) slope stability model with an evaluation of the variability of root reinforcement in terms of a probability distribution, according to forest characteristics. Monte Carlo simulation is used to account for the residual uncertainties in both stand characteristics and 3D stability model parameters. >The proposed method was applied in a subalpine catchment in the Italian Alps, mainly covered by coniferous forest and characterized by steep slopes and high landslide risk. The results suggest that the procedure is highly reliable, according to landslide inventory maps [area under the ROC curve (AUC) is 0.82 and modified success rate (MSR) is 0.70]. Thus, it represents a promising tool for studying the role of root reinforcement in landslide hazard mapping and guiding forest management from a slope stability perspective. Copyright ? 2017 John Wiley & Sons, Ltd. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract XMLNS =“http://www.wiley.com/namespaces/wiley”type =“main”> <title type =“main”>抽象</ title> >森林在保护人员中发挥着重要作用，山地地区的定居点免受水文晶危害，包括浅层滑坡。虽然有几项研究已经调查了森林与坡度不稳定性之间的互动，但尚未获得对其的全面了解。此外，尚未开发将森林支架属性结合到斜坡故障概率分析的模型。原则上，对滑坡危险分析的强大工具来说，原则上，基于物理的模型，代表了一种连接特性和坡度稳定性的适当方法。然而，这些模型的可靠性取决于描述高度复杂的岩土和水文过程的许多参数（例如，难以测量和模型的潜在故障深度，饱和度，根加强等）。特别地，根加强件的空间异质性仍然存在问题，并且从森林管理角度使用物理基础的模型已经受到限制。本文提出了一种在因子方面评估坡度稳定性的过程安全性占森林支架特性，如树密度，平均直径，乳房高度和树木之间的最小距离。根据森林特征，该方法将三维（3D）斜率稳定性模型评估了概率分布方面的根强化变异性。 Monte Carlo仿真用于考虑支架特性和3D稳定性模型参数中的残余不确定性。所提出的方法应用于意大利阿尔卑斯山的亚高尔平集水区，主要由针叶林覆盖并表征陡峭的斜坡和高山体滑坡风险。结果表明，根据Roc曲线（AUC）下的Landslide Inventory Maps [Roc Curve（AUC）下的区域和修改的成功率（MSR）是0.70]的过程。因此，它代表了研究根部增强在滑坡危险映射和引导森林管理中的作用的有希望的工具。版权？ 2017年John Wiley＆amp; SONS，LTD。</ p> </ abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-22319/'>《Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group》</a> <b style="margin: 0 2px;">|</b><span>2017年第12期</span><b style="margin: 0 2px;">|</b><span>共18页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Cislaghi Alessio&option=202" target="_blank" rel="nofollow">Cislaghi Alessio;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Chiaradia Enrico Antonio&option=202" target="_blank" rel="nofollow">Chiaradia Enrico Antonio;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Bischetti Gian Battista&option=202" target="_blank" rel="nofollow">Bischetti Gian Battista;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Department of Agricultural and Environmental Sciences (DiSAA)University of MilanMilan Italy;</p> <p>Department of Agricultural and Environmental Sciences (DiSAA)University of MilanMilan Italy;</p> <p>Department of Agricultural and Environmental Sciences (DiSAA)University of MilanMilan Italy;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/163.html" title="地球物理学">地球物理学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=shallow landslides&option=203" rel="nofollow">shallow landslides;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=forest structure&option=203" rel="nofollow">forest structure;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=root reinforcement&option=203" rel="nofollow">root reinforcement;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=physical‐based models&option=203" rel="nofollow">physical‐based models;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=3D slope stability model&option=203" rel="nofollow">3D slope stability model;</a> </p> <div class="translation"> 机译：浅层滑坡;森林结构;根强化;基于物理的模型;3D斜率稳定性模型; 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