Does cultural economics affect country’s competitiveness?

Abstract

India is highly vulnerable to natural disasters particularly floods and cyclones, Bay of Bengal due to its geography is highly effected due to high frequency od occurance of disasters . The coastline is exposed to around 10% of the world's tropical storms. The objective of the studt is to conduct a detailed flood frequency analysis and risk mapping for the 2014 Srinagar flood, making use of statistical tools and ArcGIS to evaluate the return periods and recurrence frequencies. The data point regarding discharge rates in cubic meters per second (cms) for three gauging stations, Asham, Sangam, and Ram Munsi Bagh have been taken into consideration. The frequency distribution including Normal, Log-Normal, Log-Pearson Type III, and Gumbel distributions were applied. USGS, DIVA-GIS, and WorldClim setallite imageries for the study area during the period of disaster have been used in Remote sensing and ArcGIS. The study’s result revealed that while Log-Normal and Log-Pearson models did not exceed threshold values, the Gumbel distribution indicated potential exceedance at a 95% confidence level, suggesting enhanced safety measures were needed. The analysis shows varying risk levels across gauging stations, recommendations were made for improved flood management strategies, especially for areas prone to high flood risk. Further research should focuis required on refining flood prediction models, enhancing GIS capabilities for risk assessment, and implementing comprehensive preparedness and flood mitigation strategies.

Keyword : Return Period, Frequency, Discharge Flow, Distribution Curve, Exceedance Probability, ArcGIS, Arc Scene, 3D Modell