<div dir="ltr"><div class="gmail_extra"><div class="gmail_quote"><br><b style="color:rgb(255,0,0);font-family:arial,helvetica,sans-serif;font-size:12.8px">"</b><font color="#ff0000" face="arial, helvetica, sans-serif"><span style="font-size:12.8px"><b>Towards a physically based tool for probabilistic assessment of rainfall-induced landsliding</b></span></font><b style="color:rgb(255,0,0);font-family:arial,helvetica,sans-serif;font-size:12.8px">"</b><br><font face="arial, helvetica, sans-serif"><span style="font-size:12.8px"><b><br></b></span></font><b style="font-family:arial,helvetica,sans-serif;font-size:12.8px">Matthew A. Thomas</b><br><i style="font-size:12.8px;font-family:arial,helvetica,sans-serif">Mendenhall Postdoctoral Fellow</i><br><i style="font-size:12.8px;font-family:arial,helvetica,sans-serif">USGS Geologic Hazards Science Center Golden, CO</i> <br><br>Providing accurate warning in advance of rainfall-induced landsliding can help reduce loss of life and property, but requires knowledge of hillslope wetness and future rainfall conditions. However, most regional landslide warning systems consider only the rainfall characteristics that were measured during past landslide events. These are used to define a set of rainfall conditions, or a threshold, for which landsliding should be expected. When these empirical thresholds do not perform well for subsequent landsliding events, it can be difficult to diagnose the problem because the underlying cause of slope failure is not considered explicitly. To address this limitation, we explored the use of synthetic rainfall to generate thousands of possible storm patterns and coupled them with a physics-based hydrology and slope stability model for various antecedent soil wetness scenarios to analyze pore-water pressure and factor of safety metrics. We used these metrics to generate thresholds that can be employed to assess landsliding potential for any given combination of antecedent wetness and storm size. When applied to San Francisco Bay region, we found the results consistent with events known to have caused historical and recent widespread landsliding. Therefore, our modeling approach, which is structured around plausible ranges of measurable soil hydraulic and mechanical properties and can incorporate the impact of rainfall forcings beyond what may be available in monitoring records, can inform the next generation of warning systems for rainfall-induced landsliding.<br><br><b style="font-size:12.8px"><div style="font-size:small;display:inline"><font face="arial, helvetica, sans-serif"><div style="display:inline"><font face="arial, helvetica, sans-serif">Tuesday, May 15th</font></div></font></div></b><b style="font-size:12.8px"><font face="arial, helvetica, sans-serif">, 2018</font></b><br><b style="font-size:12.8px"><span style="font-size:13px"><font face="arial, helvetica, sans-serif"><div style="font-size:small;display:inline"><div style="display:inline"><div style="display:inline"><div style="display:inline">2-3</div></div></div></div></font></span></b><b style="font-size:12.8px"><span style="font-size:13px"><font face="arial, helvetica, sans-serif"><div style="font-size:small;display:inline"><div style="display:inline"><div style="display:inline"><div style="display:inline">pm</div></div></div></div></font></span></b><b style="font-size:12.8px"><span style="font-size:13px"><font face="arial, helvetica, sans-serif"><div style="font-size:small;display:inline"><div style="display:inline"><div style="display:inline"></div> </div></div> (Mountain Time)</font></span></b><br><b style="font-size:12.8px;font-family:arial,helvetica,sans-serif"><span style="font-size:13px">USGS, 1711 Illinois Street, Golden, CO</span></b><br><b style="font-size:12.8px;font-family:arial,helvetica,sans-serif"><span style="font-size:13px">Entry Level <span 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class="m_2174399009776966998gmail-m_3536024389969136014gmail-m_6564323528617604720gmail-m_-3202867471772006187m_-3474394390109531423m_-6180755618559776416m_-6692829955733685287gmail-m_-1920778670233885335gmail-m_2928417918433606341m_548290485840828435m_3628773897655229900gmail-m_7446487874202752399m_-8264889372741220741gmail-m_5431511284334585236gmail-m_-1882990626170291808m_9106775657748341738gmail-m_6925426022411937115m_7055967733504661449gmail-m_-8968070735390492279m_4896026561608388806gmail-m_3918809983636524111m_7068817575649352729m_-6172873775242136948gmail-m_-4303968599703518853gmail-m_2043882230405221244gmail-m_2480559937188047531m_-1887565490609744462m_8131614935401267798m_6252585815979993878gmail-m_-5616756539997506461gmail-m_3957397034944864967gmail-m_-5590660146057455466gmail-m_2010942344340859242gmail-m_4771098111974711889gmail-m_337406015407620904gmail-m_-5330926199930091226m_647861723187015620gmail-il"><span 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style="font-size:12.8px"><br></span><span style="font-size:12.8px">Mirus, Ben - </span><a href="mailto:bbmirus@usgs.gov" target="_blank" style="font-size:12.8px">bbmirus@usgs.gov</a><br><span style="font-size:13px">Josh Rigler - </span><a href="mailto:erigler@usgs.gov" target="_blank" style="font-size:13px">erigler@usgs.gov</a><br><span style="font-size:13px">Oliver Boyd - </span><a href="mailto:oboyd@usgs.gov" target="_blank" style="font-size:13px">olboyd@usgs.gov</a><br><br>______________________________<wbr>_________________<br>ghsc-seminars mailing list<br><a href="mailto:ghsc-seminars@geohazards.usgs.gov" target="_blank">ghsc-seminars@geohazards.usgs.<wbr>gov</a><br><div><div class="gmail_extra"><div class="gmail_quote"><a href="https://geohazards.usgs.gov/mailman/listinfo/ghsc-seminars" rel="noreferrer" target="_blank">https://geohazards.usgs.gov/ma<wbr>ilman/listinfo/ghsc-seminars</a><br></div></div></div>
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