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Late Neoproterozoic to early Cambrian high-grade metamorphism from Mikir Hills(Assam-Meghalaya gneissic Complex,northeast India):Implications for eastern Gondwana assembly

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Geoscience Frontiers 2024年第5期15卷 256-282页

作者： rahul nag H.Hrushikesh Nathan Cogné N.Prabhakar Department of Earth Sciences Indian Institute of Technology BombayPowaiMumbaiMaharastra 400076India Geological Survey of India Northeastern RegionGuwahatiAssam 781005India Géosciences Rennes UMR6118CNRS Universitéde RennesFrance

Mikir Hills region,which represents the eastern segment of the Assam-Meghalaya Gneissic Complex(AMGC)in northeast India,constitutes part of the Eastern *** Mikir Hills preserves multiple metamorphic and magmatic events ranging from Early Mesoproterozoic to Early *** of these events,documenting the late Neoproterozoic to early Cambrian tectonothermal events is helpful in correlating the continental blocks of Eastern *** present an integrated study involving field relations,petrology,P-T history and zircon-monazite geochronology of hitherto poorly studied pelitic and quartzo-feldspathic gneisses from the Mikir Hills *** gneisses have experienced at least three deformation events(D_(1),D_(2) and D_(3))with dominant foliation indicated by ENE-WSW striking and shallow-moderately dipping(<40°)S_(2) gneissic *** peak metamorphism in pelitic and quartzo-feldspathic gneisses is characterized by garnet(core)-K-feldspar-sillimanite-plagioclase-bio tite-rutile-quartz-ilmenite-melt and garnet-plagioclase-K-feldspar-biotite-quartz-ilmenite-melt assemblages,*** application of thermobarometric methods constrains the peak P-T conditions of 7.5-8.4 kbar at 674-778℃and 6.7-7.4 kbar at 601-618℃for pelitic and quartzofeldspathic gneisses,*** results are consistent with the values estimated using phase equilibria modelling and melt reintegration *** results of pseudosection modelling suggests a clockwise P-T path for pelitic gneisses involving migmatisation during peak metamorphism followed by near isothermal decompression from 8.0 to 8.6 kbar at 768-780℃to 4.0-5.0 kbar at 720-765℃.In contrast,quartzo-feldspathic gneisses preserved slightly lower peak P-T conditions at 3.8-4.6 kbar and 590-650℃.The U-Pb zircon dating of migmatised pelitic and quartzo-feldspathic gneisses yielded concordant ages of 1647±11 Ma and 1590±7 Ma,*** dates represent the inherited igneous protolith components,possibly

关键词： Gondwana Assam-Meghalaya Gneissic Complex Migmatisation Neoproterozoic Geochronology P-T-t history

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Spatial Indexing of Buildings for Disaster Management

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Journal of Civil Engineering and Architecture 2011年第7期5卷 655-659页

作者： rahul V. Ralegaonkar Department of Civil Engineering VNIT Nag-10 Mah. India

Natural disasters not only result in financial loss but also the human lives. The failure of the existing buildings is one of the primary concerns for the damage to human lives. In order to plan a disaster free city proper planning of the buildings ＆ infrastructure along with the associated information of non-spatial attributes are needed. The present paper highlights the application of satellite imagery for feature extraction and storing the associated database in GIS environment which is useful for decision making in real time disaster management. The complete methodology is elaborated with the help of a case study for earthquake risk assessment of Maharashtra Industrial Development Corporation （MIDC）, Akola, Maharashtra, India region. For the better and precise work 0.5 m. resolution imagery is utilized for extracting the buildings ＆ other infrastructure features. The structural and non-structural details of the buildings are stored as back end for possible vulnerability assessment, suitable planning and preparedness against the hazard. The extracted building features in the planned area have been given suitable weightages for Vulnerability Indexing. Based on suggested indexing approach possible retrofitting measures from the developed database can be recommended for the existing buildings in the proposed location of research. The proposed approach can further be extended for the entire infrastructure of the nation where the centralized data can be made available with Emergency Operation Centre for further planning ＆ preparedness to make the nation disaster free.

关键词： Natural disaster non-spatial attributes satellite imagery database emergency operation centre.

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