Geographical data are of great importance in meteorology and climate science. These data can create the areal distribution models analyzed by spatial interpolation methods. The values of the areas without measurement data are estimated with these distribution models. In this study, distribution of meteorological parameters such as precipitation, temperature and evaporation in Porsuk basin, which is determined as research area, was investigated by Inverse Distance Weighting (IDW) and Ordinary Kriging methods. Actual meteorological data analyzed of the basin do not show a normal distribution statistically. Therefore, the data were firstly subjected to normalization and then analyzed according to the IDW and Ordinary Kriging methods to create distribution maps of precipitation, temperature and evaporation data. Quadratic mean error values were compared to investigate the reliability of analyzes. In this study, the analysis results of precipitation, temperature and evaporation data have been calculated by two different methods. Ordinary Kriging method has been determined as the method making the most accurate estimation.
The international disasters database (United Nations Office for Disaster Risk Reduction "UNISDR"/the Emergency Events Database "EM-DAT") estimated the number of people affected by natural disasters in 2018 to be 61,772,617. According to (1), approximately 15% of the global population comprises people with disabilities. Despite being the most vulnerable group during emergencies and disasters, people with disabilities tend to be ignored in risk mitigation efforts, making it vital that solutions be developed for them within the framework of international conventions. Efforts to identify the area and population affected during a disaster are important aspects of disaster management. Prior identification of danger zones and segments of society who would be at the greatest risk in the event of a disaster could be considered as the first step in damage mitigation and disaster impact reduction. This study investigated the issue of accessibility among individuals with special needs during a disaster using a geographic information system (GIS)-based approach. In this study, addresses of individuals with disabilities in Eskişehir were collected along with their geographic location coordinates (latitude and longitude), and the data were compiled into a database along with other attributes. GIS analysis techniques were used to store, query, and analyze the data. Using GIS and network analysis methods, the fastest routes to emergency assembly points were identified for individuals with intellectual, physical, hearing, or visual disabilities. The service area network analysis method was used to establish accessible routes on the road network that would allow the focus population group to reach disaster assembly points in the shortest time. The number of individuals with disabilities in these areas and their locations were identified to aid the analysis. Digital maps were created to interpret the results.
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