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Mass displacement of materials such as landslide is considered among problematic phenomena in Baqi Basin located at southern slopes of Binaloud, Iran; since, it destroys agricultural lands and pastures and also increases deposits at the basin exit. Therefore, it is necessary to identify areas which are sensitive to landslide and estimate the significant volume. In the present study, in order to estimate the volume of landslide, information about depth and area of slides was collected; then, considering regression assumptions, a power regression model was given which was compared with 17 suggested models in various regions in different countries. The results showed that values of estimated mass obtained from the suggested model were consistent with observed data (P value= 0.000 and R = 0.692) and some of the existing relations which implies on efficiency of the suggested model. Also, relations that were created in small-area landslides were more suitable rather than the ones created in large-area landslides for using in Baqi Basin. According to the suggested relation, average depth value of landslides was estimated 3.314 meters in Baqi Basin which was close to the observed value, 4.609 m.

Background: Pterygium is a common disease of the eye affected by environmental factors, especially climatic parameters. The purpose of this study was to evaluate the influence of climatic factors on pterygium in the cities of Mashhad and Zahedan in Iran eastern half. Methods: The data of 130,464 patients referred to Zahedan Alzahra Ophthalmology Clinic (from them, 28,776 patients with pterygium) and 974,542 patients referred to Mashhad Khatam ol-Anbia Ophthalmology Clinic (from them, 20,222 patients with pterygium) during 2006-2011 were used. Climatic data elements including sunshine hours, dusty days, wind speed, ultraviolet and total sunshine index, maximum and minimum temperature, and humidity for two stations in Zahedan and Mashhad were obtained from the Iran Meteorological Organization. To study and compare the relationship of climatic factors and pterygium, correlation model, to analyze time delays, autocorrelation functions (ACF) and partial and autocorrelation functions (PACF), to assess seasonal differences in prevalence of pterygium model, ANOVA test, and to compare the prevalence of pterygium among patients in both two cities, independent sample t-test were used. Findings: In Zahedan, dusty days, sunshine hours, wind speed indicator, and ultraviolet and total sunshine indexes were the most effective factors on the prevalence of pterygium, respectively; while in Mashhad, wind speed, dusty days, and ultraviolet index were the most effective factors, respectively. ANOVA test showed no significant differences in terms of prevalence in different seasons. The t-test results showed that the prevalence of eye disease among patients in Zahedan was more than the city of Mashhad significantly. There was delay time in influencing the prevalence of pterygium by seasonal climate elements. Conclusion: In general, the incidence of pterygium was higher in Zahedan than Mashhad. It seems that the role of climatic factors in the incidence and severity of pterygium is more notable in Zahedan. [ABSTRACT FROM AUTHOR]