Using airborne radiometric
geophysical data, one can easily investigate a wide region in a short time and
with little cost to finally find areas that are rich in radioactive elements.
In this research, the uranium exploration data were first organized, filtered
and classified and then the frequency distribution tables and histograms were
drawn. After drawing the histograms, the statistical parameters for radioactive
elements were calculated. The separation of anomaly populations was done on the
basis of distribution around mean value, that is, the resulting mean, mean + 1SD,
mean + 2SD, and mean + 3SD were assumed to equal to background, threshold
value, the possible anomaly and the probable anomaly, respectively. In the end,
representative maps of anomalies and separation of anomaly populations from the
background were presented based on classical statistical calculations.
Different pollutants in soil, water, and other parts of the environment are so important in portraying environmental pollution, and could come from different source of pollutions including industrial activities. Entering metals into the soil by human activities is an important process in the geochemical cycling of heavy metals. Among the potentially toxic metals, mercury, lead, cadmium, nickel, arsenic, selenium and chromium could be named as the most toxic. Each of these elements is used in industrial activities and most of them are considered as by-products of mining, refining and similar industrial activities. Although the establishment of cement factories is usually associated with job creation and other economic aspects, the purpose of economic interests, is inevitable environmental damage caused by cement factories. Therefore, research on pollution originated from factories appears to be necessary. In order to determine the effect of cement production on farmland around Shahrood cement factory, soil samples were taken from surface soils from depth of 0-30 cm. The samples were analyzed using atomic absorption spectrometer instrument after samples preparation using standard frequently used methods. Soil magnetic susceptibility of the samples was also measured using Saskopto meters MFK1-FA. The results showed that among the parameters studied, the element of Zinc has shown the lowest mean value equal to 0.31 mg·kg-1 and iron has shown the highest mean value equal to 6.36 mg·kg-1.