Showing 4 results for Hazard
S. Z. Mosavi Khatir, A. Kavian, A. K. Soleimani,
Volume 14, Issue 53 (10-2010)
Abstract
In this research, logistic regression analysis was used to create a landslide hazard map for Sajaroud basin. At first, an inventory map of 95 landslides was used to preduce a dependent variable, which takes a value of 0 for absence and 1 for presence of landslides. Ten factors affecting landslide occurence such as elevation , slope gradient, slope aspect, slope curvature, rainfall, distance from fault, distance from drainage, distance from road , land use and geology were taken as independent parameters. The effect of each parameter on landslide occurrence was determined from the corresponding coefficient that appears in the logistic regression function. The interpretation of the coefficients showed that road network plays the most important role in determining landslide occurrence. Elevation, curvature, rainfall and distance from fault were excluded from the final analysis because these variables did not significantly add to the predictive power of the logistic regression. After transferring final probability function into Arc/view 3.2 software, landslide susceptibility map was prepared. The results of accuracy assessment showed that overall accuracy of produced map is 85.3 percent. Therefore, 53% of the area was located in very low hazard, 18.3% in low hazard, 21% in moderate hazard and 7.7 % residual area is located in high hazard regions. Model and then susceptibility map verity was assessed using -2LL, Cox and Snell R2, Nagelkerk R2, and was validated.
M.salehipour Baversad, H.ghorbani, M.afyuni, H.kheirabadi,
Volume 18, Issue 67 (6-2014)
Abstract
Regards to the importance of using safe vegetables, controlling the concentrations of heavy metals is necessary for
consumer's health. Therefore, this study was aimed to evaluate the potential risk of heavy metals on human health for
non-cancerous and cancerous diseases through consumption of agricultural products in Isfahan province. The samples
were included wheat, rice, carrots, onions, leafy vegetables and potatoes which were collected randomly from the
studied area. In order to assess the risk of non-cancerous diseases, Target Hazard Quotient (THQ) and Hazard Index
(HI) were calculated for a specific element as well as combinations of different elements. The results showed that the
THQ for arsenic was more than one in wheat and was less than one for other heavy metals if one product is consumed.
This indicates that the likely effects of arsenic for noncancerous diseases of wheat are not alone, rather they are for
other elements in various products. Risk indicators for men and women are 2.6 and 2.9 respectively, which indicates the
effects of noncancerous diseases resulting from consumption of products. Cancer risk due to arsenic in samples of
wheat consumption is higher than the Onion and potential cancer risk for this disease for this element is in the middle.
The parameters for the lead element in both cases is low.
E. Chavoshi, Sh. Arabi,
Volume 22, Issue 4 (3-2019)
Abstract
The objectives of this study were to estimate the concentration of lead (Pb) and cadmium (Cd) in agricultural products and the health risks of them on the human healths around the Irankooh Mine in Isfahan Province. The soil samples (0-20 cm of surface layer) and crop samples (rice and wheat) were collected using the composite and random sampling method. The total concentrations of Pb and Cd in soil were found to be 71.18 and 1.57 mg kg-1. The mean Pb concentrations in rice and wheat were 7.81 and 2.31 mg kg-1, respectively. These values for Cd were 0.15 and 0.124 mg kg-1, respectively. The mean daily intake of Pb through the consumption of cereals was more than the dietary reference intake (3.6 μg kg−1 day−1), but the daily intake of Cd was less than the dietary reference intake. The hazard index (HI) mean value for Pb and Cd for children and adults was 4.60 and 4.64, respectively. It showed that the consumption of the entire foodstuff could lead to potential health risks for consumers. There is also the cancer risk associated with exposure to lead.
S. Ayoubi Ayoublu, M. Vafakhah, H.r. Pourghasemi,
Volume 26, Issue 3 (12-2022)
Abstract
Population growth, urbanization, and land use change have increased disastrous floods. Iran is also among the countries at high risk of floods. The latest examples of flood damage are the devastating floods of the spring of 2019 with significant mortality and financial losses in more than ten provinces of the country. The purpose of this study is to prepare an urban flood risk map of District 4 City Shiraz. The vulnerability of the region was made using PROMETHEE Ⅱ and COPRAS multi-criteria decision-making models and urban flood hazard zones were prepared by partial least squares regression (PLSR) and ridge regression (RR) models and a risk map was obtained by multiplying the vulnerability and hazard in ArcGIS software. The highest percentage of the study area in the PROMETHEE Ⅱ and COPRAS models belongs to the moderate class of vulnerability. The evaluation of the vulnerability models using Boolean logic and RMSE and MAPE statistics, showed that the COPRAS model provided better results than the PROMETHEE model. The results of partial least square regression (PLSR) and ridge regression (RR) models in flood risk modeling were analyzed by the Taylor diagram, which showed the superiority of the ridge regression (RR) model and the accuracy of this model in preparing urban flood hazard maps. The risk map of the study area indicated that 34% of the area (973 ha) is in the range of high and very high flood risk.
