Back close

Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Maneesha Vinodini Ramesh
Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim

Project 5: Development of an Impact-based Integrated Dynamic Multi-hazard Risk Assessment Framework that is inclusive of:

  • Heterogeneous Datasets: To collate and store multi-temporal scale heterogeneous data from multiple sources.
  • Risk Identification: To understand the various types of hazard scenarios present at a regional scale and the spatio-temporal scales of occurrence for these scenarios. To understand the relationship between primary, secondary, and tertiary hazards (simultaneous, cascading, increased probability, triggering, etc).
  • Risk Assessment: To identify methods to quantify cumulative impacts of hazard sequences based on the magnitude of the hazard, duration of occurrence, and other Spatio-temporal parameters discussed in this publication.
  • Risk Mitigation and Adaptation: To enhance community resilience by enhancing risk mitigation and adaptation strategies tailored to each spatiotemporal scale and location.
  • Risk Information Dissemination: To identify localized models to disseminate impact-based early warnings for multi-hazard sequences through multi-stakeholder engagement

Amrita Team Members: Hari Chandana Ekkirala

Name of the International Collaborators : Dr. Giuseppe Formetta, University of Trento, Via Mesiano, 77 – 38123 Trento, tel. 0461 282640 giuseppe.formetta@unitn.it

Product Details: Dynamic risk maps

Proposed Future Work Details

  1. One journal publication
  2.  North Sikkim dynamic risk maps
  3. Case study analysis of 3-10 Oct 2023, Lachen Valley floods in North Sikkim

Related Projects

Multi-Hazard Disaster Risk Reduction Solutions for The State of Odisha
Multi-Hazard Disaster Risk Reduction Solutions for The State of Odisha
Computational Linguistics for Sanskrit Scriptures
Computational Linguistics for Sanskrit Scriptures
Mobile Vocational Education (MoVE)
Mobile Vocational Education (MoVE)
Studies on Cathode materials for all solid state ion batteries
Studies on Cathode materials for all solid state ion batteries
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
sEMG based segmentation parameter influence on Hand gesture recognition using Deep Learning
Admissions Apply Now