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  • 1
    Call number: STR 11/14
    In: Scientific technical report
    Description / Table of Contents: This short report describes the first attempt at obtaining a preliminary cross-border risk model for Central Asia starting from datasets that were already available at the beginning of the EMCA Project.
    Pages: Online-Ressource
    Series Statement: Scientific technical report / Deutsches GeoForschungsZentrum GFZ 11/14
    Branch Library: GFZ Library
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  • 2
    ISSN: 1573-1405
    Keywords: dynamic events ; pattern recognition ; Support Vector Machines ; computer vision systems
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper describes a trainable and flexible system able to recognize visual dynamic events, e.g. movements performed by different people, from a stream of images taken by a fixed camera. Each event is represented by a feature vector built from the spatio-temporal changes detected in the observed image sequence. The system neither attempts to recover the 3D structure nor assumes a prior model of the observed dynamic events. During training a supervisor identifies and labels the events of interest among those automatically detected by the system. At run time, previously unseen events are detected and classified on the basis of the available examples. Several experiments on real images are reported and the benefits of using Support Vector Machines for performing effective classification from a relatively small number of labeled examples and for building noise tolerant representations are discussed. Preliminary results indicate that the proposed system can also be applied with equally good results to the case in which the dynamic events are gestures performed by different people.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2016-11-25
    Description: Abstract
    Description: This data publication includes the DESERVE Earthquake Catalogue of historical and recent earthquakes and the DESERVE Macroseismic Intensity Dataset. The DESERVE Earthquake Catalogue is a catalog of historical earthquakes in the region around the Dead Sea. It was compiled from several sources, including recent events (> Mw 3) for the region between 24.55° and 37.80° N and between 29.95° and 40.80° E. The catalogue includes events that occurred between the year 23 C.E. and 2014 C.E. and their magnitude was harmonized to moment magnitude. Details on how duplicates were removed, which magnitude conversions were applied, about the original data sources and the catalog completeness can be found in Haas et al. (2016). The DESERVE Macroseismic Intensity Data set consists of macroseismic intensity observations for historical earthquakes in the region around the Dead Sea. It was compiled from several sources, including seismic events (Mw 4.2 - 7.9) that occurred between the year 23 C.E. and 1995 C.E for the region between 23.78° and 41.01° N and between 24.81° and 50.16°. Details on the the original sources can be found in Haas et al. (2016). Both datasets are available in csv format and accompanied by explanatory files.
    Description: Other
    Description: The Virtual Institute DEad SEa Research Venue DESERVE is a cross-disciplinary and cooperative international project of the Helmholtz Centers KIT, GFZ, and UFZ with well-established partners in the Dead Sea region. The region faces big natural challenges. Among them are sea level decline, desertification, flash floods, ascending brines polluting freshwater, sinkhole development, and the repeated occurrence of earthquakes. Climate change and extensive exploitation of groundwater and surface water even aggravate the situation. These challenges can be only mastered in an interdisciplinary research effort involving all neighbouring countries. DESERVE is offering the unique opportunity to integrate the scientific results already achieved or presently elaborated in the Dead Sea region into a joint scientific approach based on earth, water, and environmental sciences. DESERVE is aimed at studying coupled atmospheric, hydrological, and lithospheric processes, such as sinkholes, flash floods, and earthquakes. This interdisciplinary research approach will contribute to a sound scientific understanding of the ongoing processes. Furthermore, it enables the development of prediction models, remediation strategies, and risk assessments with respect to environmental risk, water availability, and climate change. DESERVE is funded by the Helmholtz Association of German Research Centers.
    Keywords: historical seismicity ; seismic catalogue ; Dead Sea ; Middle East ; macroseismic intensity ; DESERVE
    Language: English
    Type: Dataset
    Format: 1358642 Bytes
    Format: 3 Files
    Format: application/pdf
    Format: application/vnd.ms-excel
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  • 4
    Publication Date: 2017-02-17
    Description: Abstract
    Description: Area Source model for Central AsiaThe area sources for Central Asia within the EMCA model are defined by mainly considering the pattern of crustal seismicity down to 50 km depth. Although tectonic and geological information, such as the position and strike distribution of known faults, have also been taken into account when available. Large area sources (see, for example source_id 1, 2, 5, 45 and 52, source ids are identified by parameter “source_id” in the related shapefile) are defined where the seismicity is scarce and there are no tectonic or geological features that would justify a further subdivision. Smaller area sources (e.g., source_id values 36 and 53) have been designed where the seismicity can be assigned to known fault zones. In order to obtain a robust estimation of the necessary parameters for PSHA derived by the statistical analysis of the seismicity, due to the scarcity of data in some of the areas covered by the model, super zones are introduced. These super zones are defined by combining area sources based on similarities in their tectonic regime, and taking into account local expert’s judgments. The super zones are used to estimate: (1) the completeness time of the earthquake catalogue, (2) the depth distribution of seismicity, (3) the tectonic regime through focal mechanisms analysis, (4) the maximum magnitude and (5) the b values via the GR relationship.The earthquake catalogue for focal mechanism is extracted from the Harvard Global Centroid Moment Tensor Catalog (Ekström and Nettles, 2013). For the focal mechanism classification, the Boore et al. (1997) convention is used. This means that an event is considered to be strike-slip if the absolute value of the rake angle is <=30 or >=150 degrees, normal if the rake angle is <-30 or >-150 and reverse (thrust) if the rake angle is >30 or <150 degrees. The distribution of source mechanisms and their weights are estimated for the super zones. For area sources, the maximum magnitude is usually taken from the historical seismicity, but due to some uncertainties in the magnitudes of the largest events, the opinions of the local experts are also included in assigning the maximum magnitude to each super zone. Super zones 2 and 3, which belongs to stable regions, are each assigned a maximum magnitude of 6, after Mooney et al. (2012), which concludes after analyses and observation of modern datasets that at least an event of magnitude 6 can occur anywhere in the world. For hazard calculations, each area source is assigned the maximum magnitude of their respective super zone.For processing the GR parameters (a and b values) for the area sources, the completeness analysis results estimated for the super zones are assigned to the respective smaller area sources. If the individual area source has at least 20 events, the GR parameters are then estimated for the area source. Otherwise, the b value is adopted from the respective super zone to which the smaller area source belongs, and the a value is estimated based on the Weichert (1980) method. This ensures the stability in the b value as well as the variation of activity rate for different sources. The hypocentral depth distribution is estimated from the seismicity inside each super zone. The depth distribution is considered for maximum up to three values. Based on the number of events, the weights are assigned to each distribution. These depth distributions, along with corresponding weights, are further assigned to the area sources within the same super zones.
    Description: Other
    Description: Distribution file: "EMCA_seismozonesv1.0_shp.zip"Version: v1.0Release date: 2015-07-30Format: ESRI ShapefileGeometry type: polygonsNumber of features: 63Spatial Reference System: +proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs Distribution file: "EMCA_seismozonesv1.0_nrml.zip"Version: v1.0Release date: 2015-07-30Format: NRML (XML) Format compatible with the GEM OpenQuake platform (http://www.globalquakemodel.org/openquake/about/platform/) Feature attributes:src_id : Id of the seismic sourcesrc_name : Name of the seismic sourcetect_reg: Tectonic regime of the seismic sourceupp_seismo : Upper level of the the seismogenic depth (km)low_seismo : Lower level of the seismogenic depth (km)mag_scal_r: Magnitude scaling relationshiprup_asp_ra: Rupture aspect ratiomfd_type : Magnitude frequency distribution typemin_mag: Minimum magnitude of the magnitude frequency relationshipmax_mag: Maximum magnitude of the magnitude frequency relationshipa_value: a value of the magnitude frequency relationshipb_balue : b value of the magnitude frequency relationshipnum_npd: number of nodal plane distributionweight_1 : weight of 1st nodal plane distributionstrike_1: Strike of the seismic source (degrees)rake_1: rake of the seismic source (degrees)dip_1: dip of the seismic source (degrees)num_hdd: number of hypocentral depth distributionhdd_d_1: Depth of 1st hypocentral depth distribution (km)hdd_w_1: Weight of 1st hypocentral depth distribution
    Keywords: seismogenic sources ; central asia ; EMCA ; GEM
    Type: Dataset
    Format: 15100 Bytes
    Format: 2 Files
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
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  • 5
    Publication Date: 2018-12-05
    Description: TechnicalInfo
    Description: The EMCA landslide catalog of Central Asia covers mostly western and northern Kyrgyzstan as well as Tajikistan's Region of Republican Subordination. The catalog is a summary (point locations) of the documented landslides between 1954 and 2009, which are collected by the Central Asian Institute for Applied Geosciences through geological surveys (field campaigns) on single sites close to urban areas in order to mitigate landslide risk. The catalog is presented in identical .csv and NetCDF (.nc) formats. Both the formats include the point locations of the landslides (variables: latitude [WGS 84], longitude [WGS 84]), and the dates of about 5% of the landslides (variable: date). The remaining %95 of the data is undated and marked as NaT (dating not possible).These documented landslides mostly happened on soft and semi-hard rock layers within the areas made of Mesozoic-Cenozoic formations: these formation are represented mainly by layers of clays, argillites, siltstones, sandstones, marls, limestone, gypsum and conglomerates, which are mostly covered by Quaternary loess deposits (Kalmetieva et al., 2009, p.75). The EMCA landslide catalog is far from being a complete datasets for the entire region, since majority of the area is inaccessible or hard to reach due to mountainous relief, which in turn decreases the chance of collecting information about ancient as well as modern landslides through field campaigns.
    Keywords: Landslides ; Susceptibility ; Kyrgyzstan ; land 〉 world 〉 Asia 〉 Central Asia ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 LANDSLIDES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 LANDSLIDE
    Language: English
    Type: Dataset , Dataset
    Format: 1 Files
    Format: application/octet-stream
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  • 6
    Publication Date: 2019-01-28
    Description: Abstract
    Description: The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS (Remote Rapid Visual Screening) methodology in Alsace, France, within the framework of the DESTRESS project. The survey has been carried out between May and June 2017 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images from Google StreetView (vintage: February 2011) and footprints from OpenStreetMap.Surveyor: Konstantinos G. Megalooikonomou (GFZ German Research Centre for Geosciences)The attributes are encoded according to the GEM taxonomy v2.0 (see https://taxonomy.openquake.org).The following attributes are defined (not all are observable in the RRVS survey):code,descriptionlon, longitude in fraction of degreeslat, latitude in fraction of degreesobject_id, unique id of the building surveyedMAT_TYPE,Material TypeMAT_TECH,Material TechnologyMAT_PROP,Material PropertyLLRS,Type of Lateral Load-Resisting SystemLLRS_DUCT,System DuctilityHEIGHT,HeightYR_BUILT,Date of Construction or RetrofitOCCUPY,Building Occupancy Class - GeneralOCCUPY_DT,Building Occupancy Class - DetailPOSITION,Building Position within a BlockPLAN_SHAPE,Shape of the Building PlanSTR_IRREG,Regular or IrregularSTR_IRREG_DT,Plan Irregularity or Vertical IrregularitySTR_IRREG_TYPE,Type of IrregularityNONSTRCEXW,Exterior wallsROOF_SHAPE,Roof ShapeROOFCOVMAT,Roof CoveringROOFSYSMAT,Roof System MaterialROOFSYSTYP,Roof System TypeROOF_CONN,Roof ConnectionsFLOOR_MAT,Floor MaterialFLOOR_TYPE,Floor System TypeFLOOR_CONN,Floor Connections
    Keywords: induced seismicity ; taxonomy ; RRVS ; GEM ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 HUMAN DIMENSIONS ; geological process 〉 seismic activity ; risk 〉 natural risk ; safety 〉 risk assessment 〉 disaster preparedness ; safety 〉 risk assessment 〉 natural risk analysis ; safety 〉 risk assessment 〉 risk exposure
    Type: Dataset
    Format: 73254 Bytes
    Format: 1 Files
    Format: application/vnd.ms-excel
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  • 7
    Publication Date: 2015-08-25
    Description: Expansion of urban areas in Central Asia increases their exposure to seismic hazard, but at present no earthquake early warning (EEW) systems exist in the region. Such systems, successfully implemented in other regions, aim to provide warning of the order of tens of seconds about impending disasters, enabling the first rapid‐response steps to be taken. The feasibility of such systems for Bishkek, Kyrgyzstan, has been demonstrated. This study investigates how the use of the spectral content, instead of just ground‐motion thresholds, can be used to improve the performance of proposed regional warning systems. We find that using the spectral content of the first few seconds after the P‐wave arrival can provide timely warning for events closer to the target city than was possible with the threshold systems. It is further shown that for events less than 60 km from the target, any regional system needs to be complemented with an onsite one to provide a comprehensive EEW system.
    Print ISSN: 0037-1106
    Electronic ISSN: 1943-3573
    Topics: Geosciences
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  • 8
    Publication Date: 2013-08-01
    Description: Natural hazards such as earthquakes threaten millions of people all around the world. In a few decades, most of these people will live in fast-growing, inter-connected urban environments. Assessing risk will, therefore, be an increasingly difficult task that will require new, multidisciplinary approaches to be tackled properly. We propose a novel approach based on different imaging technologies and a Bayesian information integration scheme to characterize exposure and vulnerability models, which are among the key components of seismic risk assessment. ©2012 Springer Science+Business Media Dordrecht
    Print ISSN: 0921-030X
    Electronic ISSN: 1573-0840
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences
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