Identification of Patients with Respiratory Diseases on Crucial Areas Map Using Fuzzy-AHP Approach and RS-GIS Method to Assess Geomedical Health Hazard in the Western Segment of Lake Urmia, Iran
Abstrakt
Lake Urmia is the largest lake in the Middle East and the world's second-largest saltwater lake with an area of 5200 km(2) which is on the verge of becoming a major environmental hazard almost identical with the catastrophic death of the Aral Sea. The health and life of humans, plants, and living organisms in the lake and its surroundings are all at risk.
This paper attempts to contribute to the integration of RS-GIS for creating geomedical hazard maps in northwestern Iran, as well as the application of the Fuzzy-AHP method. The main objective of this research was to develop an intelligent information integration method for assessing medical geologic hazards correlation.
The method was applied to hydrogeochemical data collected from both surface and groundwater (e.g. cations, anions, the potential of hydrogen, electrical conductivity, sodium adsorption ratio, and total hardness of water), geological layers (fault, stream and lithology), and remote sensing satellite imagery data (iron oxides, vegetation, and alteration). The weight of components was calculated using the Fuzzy-AHP method (gamma = 0.95).
The validated analytical results indicate that high-risk zones cover about 11% of the entire study area. Finally, the accuracy of the results was confirmed with 115 cases of respiratory diseases recorded in the area.
The results demonstrate a significant link between high-risk zones and diseases.