| Popis: |
Natural and environmental disasters have profound social, economic, psychological, and demographic effects on the stricken individuals and communities. The literature of disaster management of the 21th Century has pointed out that there is a missing part in the knowledge, scientific research, and technological development that can optimise disaster risk reduction. With the improvement of dynamic optimisation and geo-information technologies, it has become very important to determine optimal solutions based on the stability and accuracy of the measurements that support disaster management and risk reduction. However, a scientific approach to the solution of these disasters requires robotic algorithms that can provide a degree of functionality for spatial representation and flexibility suitable for quickly creating optimal solution that account for the uncertainty present in the changing environment of these disasters. Moreover, the volume of data collected for these disasters is growing rapidly, and sophisticated means to optimise this volume in a consistent, dynamic and economical procedure are essential. This chapter effectively links wider strategic aims of bringing together innovative ways of thinking based on scientific research, knowledge and technology in many scientific disciplines to providing optimal solutions for disaster management and risk reduction. Real-life applications using these disciplines will be presented. |
