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Flood is a natural calamity and causes damage of life and property devastation. The main objective of this study was to analyse flood hazard and inundation area mapping of Paravanar sub-Basin. Flood generating factors, like elevation, slope, drainage density, rainfall, soil type and land use were analyzed and delineated flood zones using Geospatial techniques and multi criteria evaluation. The flood generating factor was computed by data integration, floodplain depiction, mapping, and evaluation. Various parameters such as Normalized difference vegetation index (NDVI), Normalized difference build-up index (NDBI), Normalized difference water index (NDWI) were acquired for performing Regression Analysis. This information can be further utilized for hydro-meteorological figures and Surge forecast. These data can be used in building hazard and risk maps for pre-flood prediction. The flood hazard threats in the southeast and in between southeast and west part of the Paravanar River basin are high flood hazard threat zone.

Natural calamity causes enormous destruction to human beings as well as to their properties. Continuously, the earth has been threatened and affected by different calamities such as flood, earthquake, tsunami, etc. Human beings do not have the supernatural power to go against the calamity whereas the huge destruction caused by the calamity can be reduced by taking the right decision. When the calamity causes severe damage to life and property, a right decision has to be taken to avoid and reduce the level of loss. The appropriate decision that is taken during this critical situation reduces the aggravation of the damages caused by the calamity. Support is very much required to take the right decision during emergencies. In this technically advanced age, possible measures have to be taken to safeguard the people and their belongings. The present paper consists of various studies from every part of the world on decision support systems. This paper focuses on the execution, advantages, constraints, and scope of applying the decision support system during the calamities.

The field of wireless sensor networks (WSNs), although started long back ago, has now reached its maximum usage in research and several kinds of monitoring and surveillance applications. Since the very small size and very low power working nature of the nodes, several challenges are faced by the entire network as a whole. Several scheduling and routing protocols were designed for the WSN. All of them are basically centralised or distributed in nature. For some of the well-known scheduling protocols, their behaviour under centralised and distributed manner is detailed here. It also specifies which type of schedule is suitable for which type of application and using either centralised or distributed approach. The scheduling algorithm which is best suitable for radiation monitoring application is described and also been proved that it is more energy efficient comparing to the existing protocols.