2017
DOI: 10.1007/s12303-017-0034-4
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Landslide prediction, monitoring and early warning: a concise review of state-of-the-art

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Cited by 290 publications
(143 citation statements)
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“…This recent sinkhole risk escalation is largely related to (1) the increase in sinkhole occurrence in many areas, commonly due to human activities that contribute to triggers or accelerate the processes involved in sinkhole development (i.e., dissolution and subsidence); and (2) the development of sinkhole-prone areas without preventive planning [1,2]. However, the scientific literature dealing with sinkhole monitoring is very limited, especially when compared with other land subsidence and ground instability phenomena, such as aquifer consolidation-caused groundwater withdrawal [3] or landslides [4]. Evidence suggests there is need to explore and develop approaches aimed at monitoring sinkhole-related subsidence, which tends to be very localised and may have variable behaviour, ranging from long-sustained gradual settlement to instantaneous catastrophic collapse.…”
Section: Introductionmentioning
confidence: 99%
“…This recent sinkhole risk escalation is largely related to (1) the increase in sinkhole occurrence in many areas, commonly due to human activities that contribute to triggers or accelerate the processes involved in sinkhole development (i.e., dissolution and subsidence); and (2) the development of sinkhole-prone areas without preventive planning [1,2]. However, the scientific literature dealing with sinkhole monitoring is very limited, especially when compared with other land subsidence and ground instability phenomena, such as aquifer consolidation-caused groundwater withdrawal [3] or landslides [4]. Evidence suggests there is need to explore and develop approaches aimed at monitoring sinkhole-related subsidence, which tends to be very localised and may have variable behaviour, ranging from long-sustained gradual settlement to instantaneous catastrophic collapse.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, different metrics can be used to define a criterion suitable for early warning. Such criterion could be based on (i) an absolute number of co-detected events which would be easy to be implement in real time, but, as every slope is different, such a criterion might depend on the overall background noise and number and spatial arrangement of the sensors; (ii) the differences in the temporal evolution of co-detections for different detection thresholds; or (iii) the statistics of "record breaking" events, in the same way as in the mean field model of fracture (Danku and Kun, 2014). Records are bursts (i.e., seismic events) which have the largest size since the beginning of the time series; hence their behavior involves extreme values statistics.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, a model that integrates rainfall-runoff, landslide and soil erosion models for simulating mass production and movement with a dynamical model of riverbed erosion and sedimentation could facilitate simulation of all dynamic processes of rainfall-inducing hydrological response, mass production and movement, riverbed profile evolution, and sediment transportation in a watershed, and practically achieve precise prediction of watershed sediment budget by considering spatial property of sediment mass. In the past decades, great efforts have been made to successfully model or analyze the individual processes of rainfall-runoff (e.g., [12][13][14][15]), landslide prediction or movement (e.g., [16], and references therein), debris flow movement (e.g., [17][18][19][20][21][22][23]), dynamic sediment routing (e.g., [11,24], and references therein) and compound mass movement [25]. However, integrating all aforementioned models is quite challenging because of obvious differences of spatial and temporal scales among all processes.…”
Section: Introductionmentioning
confidence: 99%