Yogesh Kumar Singh

Publications (7) View all

• Article: PROBABILISTIC FLOOD HAZARD MAPPING FOR EMBANKMENT BREACHING

  Subashisa Dutta,, Hemanta Medhi,, Tapas Karmaker,, Yogesh Singh,, I. Prabu,, U. Dutta
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  ABSTRACT: The study proposes a methodology for producing probabilistic flood hazard maps based on an ensemble of 2-D hydrodynamic model and frequency analysis of discharge data. With available floodplain topography and limited river bathymetric data, a 2-D hydrodynamic model has been set-up to predict flood inundation area for recently breaching location of the embankment of the river Brahmaputra for a given flood hydrograph. Frequency analysis of the flood waves in nearby gauged records has been conducted and the flood inundation at the breaching location for flood waves of different return period and average monsoonal condition (dry, normal and wet) has been simulated. After that, spatial analysis of the simulated flood inundation depth and maximum velocity is conducted to categorize flood hazard zones. The methodology was applied over a 600 km2 of flood prone area, close to the northern bank of a 64 km reach of the river Brahmaputra (Assam, India). In this study, probabilistic flood hazard mapping approach for embankment breaching at Matamara, Lakhimpur district, Assam was evaluated with the flood inundation obtained from satellite imagery. The spatial variation of simulated flood inundation of 20 years return period closely matches with the observed inundation. The most vulnerable zone within the floodplain area is identified considering random breaching locations. This study demonstrates that probabilistic flood hazard maps in a river valley can be prepared by this approach with limited topographic dataset.
  ISH Journal of Hydraulic Engineering. 09/2009; 16.
• Conference Proceeding: Multi-variate Segmentation Approach for Flood Monitoring using Microwave Data

  Yogesh Singh, Upasana Dutta, I. Prabu
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  ABSTRACT: Flood is one of the major and frequent disasters causing extensive damage to the infrastructure and loss of lives in the Northeastern part of India, especially Assam. SAR imagery of Radarsat-I is well suited for monitoring and mapping of such high magnitude natural risks and hazards. The existing methods employed are either based on time consuming manual interpretation or automatic pixel based classification which has limitations for many applications. In the current study we have proposed a multi-variate image segmentation approach to monitor flood using three Radarsat data sets with different acquisition time during the flood event shortly after the monsoon. The study shows that accuracy of the results are more in case of object oriented approach compared to pixel oriented approach.
  PORSEC, Guangzhou, China; 06/2008
• Source

  Available from: Upasana Dutta

  Article: Micro Level Planning using Spatial Database

  Upasana Dutta, Yogesh Singh
  Current science 10/2007; 93(7):921-926. · 0.94 Impact Factor
• Article: Managing hazards in snow covered Himalayas

  Ashok Kaushal, Yogesh Singh
  Journal of Geomatics 06/2007;
• Article: Heuristic cum Statistical Approach for Landslide Hazard Zonation in Itanagar Capital Complex, Arunachal Pradesh, India

  Trilochan Singh, Ashok kaushal, Yogesh Singh
  International Journal of geoinformatics. 03/2007;