• DocumentCode
    144079
  • Title

    A framework for climate change and vulnerability assessment in an urbanized river basin through geospatial technologies and hydrological modeling

  • Author

    Roy, Anjan ; Inamdar, Arun B.

  • Author_Institution
    Coastal & Marine Res. Lab., Indian Inst. of Technol., Bombay, Mumbai, India
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4284
  • Lastpage
    4286
  • Abstract
    The article develops a framework for monitoring the climate change vulnerability in a river basin exploiting the geospatial and hydrological modeling. The entire work is planned in several stages; firstly, geospatial technology which is consisting of two sub-parts i.e. Remote Sensing and GIS; followed by Soil and Water Assessment Tool(SWAT) modeling and lastly, analysis of meteorological and climatic data to assess the vulnerability and future projection. As the meteorological predictors are the prime indicators of the climate change, so these have been analyzed at Grid Analysis and Display System (GrADS) for 65 years (1948-2012). For the assessment of the past scenario, present spread and future projections and vulnerability of hydrology and forestry, knowledge driven natural resource potential modeling and soft computing techniques need to apply in the Shivna River Basin; Maharashtra, India. The land Use Land Cover (LULC) change also has been shown in 1972 and 2013 by LANDSAT imagery.
  • Keywords
    climatology; geographic information systems; land cover; land use; natural resources; remote sensing; rivers; vegetation; weather forecasting; AD 1948 to 2012; AD 1972 to 2013; GIS; GrADS; India; LANDSAT imagery; LULC change; Maharashtra; SWAT modeling; Shivna River Basin; climate change vulnerability monitoring framework; climatic data analysis; forestry vulnerability; future projection; geospatial modeling; geospatial technology; grid analysis and display system; hydrological modeling; hydrology vulnerability; land use land cover change; meteorological data analysis; meteorological predictor; natural resource potential modeling; past scenario assessment; prime climate change indicator; remote sensing; soft computing technique; soil and water assessment tool modeling; spread projection; urbanized river basin vulnerability assessment; Computational modeling; Forestry; Geospatial analysis; Meteorology; Remote sensing; Rivers; Water resources; Climate Change; Geospatial Technology; Hydrological Modeling; Vulnerability Assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947436
  • Filename
    6947436