000203588 001__ 203588
000203588 005__ 20181001181636.0
000203588 0247_ $$2doi$$a10.5194/nhess-15-905-2015
000203588 022__ $$a1561-8633
000203588 02470 $$2ISI$$a000353877200019
000203588 037__ $$aARTICLE
000203588 245__ $$aMonitoring and prediction in Early Warning Systems (EWS) for rapid mass movements
000203588 260__ $$bCopernicus Publications$$c2015
000203588 269__ $$a2015
000203588 336__ $$aJournal Articles
000203588 520__ $$aRapid mass movements (RMM) pose a substantial risk to people and infrastructure. Reliable and cost-efficient measures have to be taken to reduce this risk. One of these measures includes establishing and advancing the State of Practice in the application of Early Warning Systems (EWS). EWS have been developed during the past decades and are rapidly increasing. In this document, we focus on the technical part of EWS, i.e. the prediction and timely recognition of imminent hazards, as well as on monitoring slopes at risk and released mass movements. Recent innovations in assessing spatial precipitation, as well as monitoring and modelling precursors, the triggering and deformation of RMM offer new opportunities for next-generation EWS. However, technical advancement can only be transferred into more reliable, operational EWS with an intense dialog between scientists, engineers and those in charge of warning. To this end, further experience with new comprehensive prototype systems jointly operated by scientists and practitioners will be essential.
000203588 700__ $$aStähli, M.
000203588 700__ $$aSättele, M.
000203588 700__ $$aHuggel, C.
000203588 700__ $$aMcArdell, B.W.
000203588 700__ $$aLehmann, P.
000203588 700__ $$aVan Herwijnen, A.
000203588 700__ $$0240615$$aBerne, Alexis$$g176402
000203588 700__ $$0243196$$aSchleiss, M.$$g160558
000203588 700__ $$0242683$$aFerrari, Alessio$$g178175
000203588 700__ $$aKos, A.
000203588 700__ $$aOr, D.
000203588 700__ $$aSpringman, S.M.
000203588 773__ $$j15$$k4$$q905-917$$tNatural Hazards and Earth System Sciences
000203588 8564_ $$s2490705$$uhttps://infoscience.epfl.ch/record/203588/files/2015_St%C3%A4hli_et_Monitoring%20and%20prediction%20in%20early%20warning%20systems_NHESS.pdf$$yPublisher's version$$zPublisher's version
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000203588 937__ $$aEPFL-ARTICLE-203588
000203588 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
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