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Abstract Introduction: Determining the quality of water is particularly important in water resources management, and monitoring and zoning it are considered as a significant principle to be taken into account in planning. Schuller method is the commonest way to determine the quality of water. The present study was conducted in order to determine the quality of drinking water using Schuller modeling with the help of Kriging interpolation method in GIS environment. Materials & Methods: In the present study, Schuller modeling and Kriging interpolation method were utilized Geographic Information System (GIS) environment in order to determine the quality of water during the statistical period of 2005 to 2014. In so doing, chemical analyzed samples retrieved from the wells and aqueducts of Yazd-Ardakan plain were used. To determine the quality of water, Schuller diagram was utilized in order to classify the quality of drinking water. Results: The results of the study indicated that the quality of drinking water reduces as we move from the southwest to the northeast of the plain. Approximately 30% of the studied area was in good and acceptable condition in regard with the quality of drinking water. Also, about 57% of the study area had poor quality drinking water, i.e. water with inappropriate and totally unpleasant quality and 13% of the map of drinking water quality is devoted to average quality, which is located in the central area. Conclusion: Only principled way to prevent dangerous consequences of the water table decline is the correct and systematic use of water.

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Introduction: It is generally accepted that cutaneous leishmaniasis is an important health problem in the world which is caused by leishmaniasis protozoan. This disease is also considered as a health problem in some regions of Iran including Bushehr province. The present study investigated the geographical dispersion and epidemiological characteristics of subjects with the cutaneous leishmaniasis in this province during 2011-2015.

Methods: In this cross-sectional and analytical study, the epidemiologic data including the age, gender, residential area, and counties with this disease was analyzed and collected from 663 patients who were followed up and treated during 2011 to 2015.

Results: 422 (63.7%) of studied people were residents of urban areas and 241 (36.3%) lived in rural areas. 59.4% (394 people) were male and 40.6% (269) were female. The mean age of subjects was 21.91± 17.01 (ranging from 1 to 80 years). Kangan County with an average 5-year incidence of 17.72 per a hundred thousand people had the highest incidence, but Tangestan County with the incidence of 8.47 per a hundred thousand people had the lowest average incidence. Based on GIS results, Jam County, which was not recognized as the focus of this disease in the past, has been considered as a new focus of disease in recent years.

Conclusion: The geographic information system (GIS) is an effective tool for the organization of diseases and health data. The crisis can be identified and controlled by taking proper measures with the discovery of spatial accumulation of diseases.