Agricultural Disaster Management System (ADMS) has become an important tool and technology in modern agricultural production. In this paper, we present a new method for the design and implementation of ADMS. This method is based on a new layered architecture model, which integrates flexibly GIS, simulation models and expert system in ADMS and simplifies its design and implementation. This syste...

The frequency and intensity of natural disasters have been increasing significantly over the past decades and this trend is predicted to continue. Natural disasters have a dramatic impact on human lives and on the socio-economic welfare of entire regions. They were identified in 2011 by the World Bank [The World Bank, 2011] as one of the major risks of the East Asia and Pacific region, which re...

Objective Aim To setup a nodal agency called the Centre for Public Health Preparedness (CPHP) dedicated towards public health surveillance during disasters in the state of Odisha, India. For better public health preparedness in disaster management the objectives of CPHP will be to: 1. To strengthen public health surveillance and preparedness for disaster management, through research, capacity b...

Disasters are deadly and destructive events, particularly in developing countries where economic, social, political and cultural factors increase natural hazard vulnerability. The recent devastation of the Haiti earthquake on January 12th, 2010 was a prime example of the human toll a natural disaster can take in developing regions of the world. There is an imminent need to improve natural disas...

Maintaining the health of people during and after a disaster is one of the most important issues in disaster management. Blood products are among the essential items needed to save the human life and the lack of them may lead to significant losses in human health. In this paper a comprehensive mathematical model of blood products supply chain is presented to respond the need for blood products ...

Disaster management (DM) is a challenging domain to model because of the variety of dynamic characteristics attached to the domain. Metamodeling is a model-driven approach that describes how semantic domain models can be built into an artifact called a Metamodel. By collecting all the domain concepts and partitioning the domain problems into sub-domain-problems, a metamodel can produce a domain...

Recent events such as hurricanes, tsunamis, earthquakes, power outages, and the threat of pandemics have highlighted our vulnerability to natural disasters. This vulnerability is exacerbated by many organizations’ increasing dependence on computer, telecommunications, and other technologies, and trends toward integrating suppliers and business partners into everyday business operations. In resp...