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Check dam positioning by prioritization of micro-watersheds using SYI model and morphometric analysis — Remote sensing and GIS perspective

  • K. Nooka Ratnam
  • Y. K. Srivastava
  • V. Venkateswara Rao
  • E. Amminedu
  • K. S. R. Murthy
Article

Abstract

Sediment Yield Index (SYI) model and results of morphometric analysis have been used to prioritize watersheds and to locate sites for checkdam positioning in Tarafeni watershed in Midnapur district. West Bengal. Various thematic maps such as land use/land cover, slope, drainage, soil etc. were prepared from 1RS ID LISS III digital data, SOI toposheets of 1:50,000 scale and other reference maps. Morphometric parameters such as bifurcation ratio (Rb). drainage density (Dd), texture ratio (T), length of overland flow (Lo), stream frequency (Fu), compactness coefficient (Cc), circularity ratio (Rc), elongation ratio (Er), shape factor (Bs) and form factor (Rf) were computed. Automated demarcation of prioritization of micro-watersheds was done by using GIS overlaying technique by assigning weight factors to all the identified features in each thematic map and ranks were assigned to the morphometric parameters. Five categories of priority viz., very high, high, medium, low and very low, were given to all the watersheds in both the methods. Sixty-two micro-watersheds using SYI method and twenty-three micro-watersheds using morphometric have been prioritized as very high priority. Final priority map was prepared by considering the commonly occurred very high-prioritized micro-watersheds in both SYI model and morphometric analysis. Twenty-four suitable sites were identified for check dam construction in 21 highly prioritized watersheds. It is proved that integrated study of SYI model and morphometric analysis yield good result in prioritization of watersheds.

Keywords

Remote Sensing Morphometric Analysis Morphometric Parameter Drainage Density Elongation Ratio 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • K. Nooka Ratnam
    • 1
  • Y. K. Srivastava
    • 2
  • V. Venkateswara Rao
    • 1
  • E. Amminedu
    • 1
  • K. S. R. Murthy
    • 1
  1. 1.Department of Geo-EngineeringCollege of Engineering, Andhra UniversityVisakhapatnamIndia
  2. 2.Regional Remote Sensing Service Centre (ISRO)KharagpurIndia

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