Saving human lives after natural disaster

Background: In order to secure human lives the post flood disaster management system of different countries of the world was studied at united nation level, international level, individual countries level and at Pakistan level. Flood 2010 affected 11 districts of Punjab adversely but the most affected district was district Muzaffer Garh that is why it was selected as case study. Methods: The methodology includes literature review at international level, national level & local level and collection of data from different key informants. The data has been collected by systematic random sampling. The collected data was then analyzed ascertain the problem with the help of different statistical data analysis techniques. The analysis has given rise to results which lead towards conclusions and finally on the basis of these conclusions recommendation has been made. Results: On the basis of analysis of data different problems have been observed. These relate to DRR based aspects, community participation, flood early warning system, socio economic and housing aspects, preparation of flood hazard maps, awareness to the people about flood prone areas, poor building control, livelihood and job opportunities, occupation of respondents, educational level and public facilities and utilities aspects. Conclusion: On the basis of these afore mentioned results it has been concluded that due to weaker foundation and weaker super structure of houses, lack of community participation, poor flood early warning system, non-preparation of flood hazard maps by District Disaster Management Authority and Tehsil Disaster Management Committee, un-awareness to the people about flood prone areas, lack of effective building control, insufficient livelihood and job opportunities for the people of flood affected areas, low education level and less number of educational and health facilities and non-provision of public facilities and utilities are the main problems which the people of facing in flood prone areas