فهرست مطالب رضا مهاجر

The aim of this study was to investigate the origin and potential ecological risk of heavy metals (arsenic (As), cadmium (Cd), lead (Pb), nickel (Ni), zinc (Zn) and Cu (copper) in different land uses in West of Arak, Markazi Province. A total of 235 Surface soil samples were taken from the depth of 0-5 cm including 160, 46 and 29 samples from agricultural, rangeland and industrial land uses, respectively. The ranges of As, Pb, Zn, Ni, Cd and Cu in studied soils were 55.7–357.2, 6.8–256, 13.2–858, 26.7–172, 0.1–3.65 and 5.1–34.1 mg/kg, respectively. Comparison of the mean concentration of heavy metals in different land uses indicative of the same influence of land use to metal accumulations of As, Pb, Zn and Cu, but in the case of Ni and Cd showed that a differential influence of land use the distribution of these metals in the soil. When the average amount of crust was used as a reference background, the Cf values of As in all land uses were higher than other metals, indicating high level of pollution of soils in this region. The index of PLI in land uses comprised, industrial (3) > rangeland (2.4) > agriculture (2.39), indicating the pollution and gradual destruction of soil. The mean PER based on reference and local GB showed very high and low pollution level in all land uses, respectively. Principal component analysis (PCA) showed that Pb and Zn originated from common anthropogenic sources related to industrialization and mining, whereas Cu and Ni are probably in associated with geological sources. Cd was mainly derived from the input of agricultural and industrial activities, and As should be attributed to natural resources, emissions from local industries, mining, herbicides and the use of poultry manure and atmospheric dust.

Heavy metal contamination of surface soils has become a serious concern. The aim of this study was to evaluate the potential risk of heavy metal (loid) pollution on human health in the surface soils of Arak industrial areas, the capital of Markazi province in western Iran.

235 surface soil samples were collected from a depth of 0-5 cm. Concentrations of lead, cadmium, nickel, zinc, copper and arsenic were determined by digestion with nitric acid (4 N). The level of soil pollution in the region was measured using geo- accumulation index (Igeo) and enrichment factor (EF). The model proposed by the U.S Environmental Protection Agency (USEPA) was used to assess the health risks of heavy metals.

The Mean concentrations of Pb, Cd, As, Cu, Ni, and Zn were 37.88, 1.17, 151.78, 13.48, 92.98 and 104.04 mg/kg, respectively. The calculated enrichment factor values ​​for soil samples varied from deficiency to significant enrichment. The mean geo-accumulation index (Igeo) for Pb, Cd, Cu, Ni, Zn and arsenic were 0.37, 1.59, -2.53, -0.48, -0.63 and 2.9, respectively. The results of the health risk assessment showed that hazard quotient (HQ) for children and adults through the ingestion route was higher than dermal contact and inhalation pathway. The Hazard index values for all studied metals were lower than the safe level of 1 except for As. Arsenic showed the highest risk of carcinogenicity (CR) for children (2.37 x 10-4) through ingestion.

The carcinogenic risk (CR) of As in children and adults is higher than the safe limit of 1 × 10-4, which indicates an unacceptable risk.

Empowering the process is to continuously improve the organization's performance by developing and extending the competence-based competency of individuals and groups. One of the most important sources and sources of youth empowerment is the views of the highest decision-making authorities in the country. in place. Iran, with its full command of power, has a certain intellectual system that familiarity with it can play a decisive role in the nature of the strategies for empowering the young generation of the armed forces. The main objective of this research is to achieve the "command and management Empowerment's" strategies of the young generation of armed forces from the perspective of the Supreme Leader. This research is a applied-developmental. The statistical society has been selected theoretically and purposefully, and to achieve the results, the fundamental data method has been used by using the mixed technique (qualitative and quantitative methods). The result shows that the empowerment of the young generation of armed forces must necessarily take place within the framework of a systemic attitude (using all four mechanical, organic, project, and process approaches) and in accordance with the organizational and national conditions and ideals. With this in mind, the certainty of each of the approaches in the framework of the system approach is appropriate to the circumstances, subject, and organization of the target

 Today, environmental crises have threatened the lives of humankind in a worrying way, in so far as it threatens the lives of humans and other organisms on the planet. A quick look at the environmental situation in recent decades suggests that human activities and behaviors have been the most effective and important causes of environmental changes. Meanwhile, the most effective way to protect the environment is to evaluate people's behavior and performance, in reaching the foundations of sustainable life.

The purpose of this study was to analyze the assessment of nomads’ environmental behaviors before and after the implentation of the JICA project in the Bazoft sector.

This is an applied research, with a descriptive-analytical method. Library information and field studies have been used to collect information. The statistical population of this research consisted nomad groups; also local administrators (of village managers, and Islamic Council members), residing in the five villages studied: Tabarok-e-Sofla, Gaazestan, Maazereshteh, Dorak-e-Sofla, and Tarom; where the JICA project was implemented. Based on the population of the nomadic households residented in these five villages, 210 households were selected and completed the questionnaire; while, a sample of 15 officials was selected in total. To analyze the data, Descriptive statistical tests, also tests such as U-man-Whitney, Kruskal-Wallis test, and Wilcoxon test were used.

results showed that the environmental behavior of nomads, had improved (3.46) significantly after the implementation of the JICA plan, compared with the average of the nomadic environmental behaviors before the implementation of the JICA scheme (1.9). Results also showed that there was a significant difference in the social and cultural environmental-behaviors of the nomads of the villages, before and after the implementation of the JICA scheme.

 In the present article, nomads’ environmental behaviors, before and after the implementation of the JICA Plan, has been evaluated and evaluated for the first in the country.

Increasing demand for an international classification system as a unique language in soil science has caused development of different classification systems. Soil classification is a useful tool for understanding and managing soils. In recent decades, the role of human in soil formation has become a matter of great concern among soil scientists. Human is now considered as a soil-forming factor and anthrosolization is recognized as a soil-forming process that consists of a collection of geomorphic and pedological processes resulting from human activities. Industrial developments, mines and their activities and intensive agriculture led to soil changes in urban areas. One of the important missions of soils classification is to identify important properties which have effect on management purposes. In recent years, the importance of human impact on soil properties considered in soil classification systems like American Soil Taxonomy (2014) and World Reference Base (2015) and some revisions and changes have been made in this regard. In this study, the efficiency of American Soil Taxonomy and WRB soil classification systems soils were compared to describe the pollution of soils to heavy metals in Lenjanat region of Isfahan, Iran.
Agricultural lands located in Lenjanat region of Isfahan province were selected as the study area. Lenjanat is an industrial region in which intensive agriculture surrounded by different industries like steel and cement making factories and lead mining. Agricultural lands which consisted of five soil map units (Khomeini Shahr, Nekooabad, Isfahan, Lenjan and Zayandehroud) were selected and 400 topsoil samples were randomly collected. Six soil profiles were excavated in each map unit (totally 30 soil profiles) and after describing soil, the classification of soils was determined in the field. Then, representative pedons were chosen for each unit and routine soil morphological, physical and chemical properties were determined using common methods. Finally, the soil profiles were classified according to criteria of Soil Taxonomy up to family level and (WRB) at the second level. The amount of heavy metals was studied in some agricultural crops of the region and livestock muscles in the region. Total Cd and Pb were extracted from the soil samples using concentrated HNO3. Cadmium and lead of plant samples were prepared according to the procedure of Dry-ashing. Heavy metals were extracted by 3 N HCl. The metal contents of soil and plant samples were determined by flame atomic absorption spectrometry (FAAS). Descriptive statistics including mean, variance, maximum, minimum, and coefficient of variation (CV) were calculated using STATISTICA 6.0 software.
According to WRB (2015) classification, the soils were classified as 3 reference groups: Cambisols, Gleysols and Calcisols. The soils were also categorized as Aridisols and Inceptisols in Soil Taxonomy system. In this study, the environmental standards based on Swiss Federal Office of Environmental, Forest and Landscape were used for the threshold values of heavy metals pollution in the soils (VBBo). The results also indicate that the amount of cadmium in most of the soil samples was higher than the threshold limit. The amount of lead in soils was below the threshold limit. The results also indicated that all the crops had a lead average higher than the maximum of tolerance. The average of lead in cow and sheep livestock was also above Iran and Europe Union’s permissible limit. Despite American soil taxonomy classification system in the last version has a class (Anthraltic, Anthraquic, Anthrodensic, Anthropic) to show human impacts on soils at family level, it could not show the contamination of soils to heavy metals. However, WRB soil classification system defined qualifier “toxic” (Anthrotoxic, Ecotoxic, Phytotoxic, Zootoxic) which can be used in these conditions. Both systems had serious shortcomings to show poor drained soils in this area. Defining the Aquids suborder for Aridiosols in American Soil Taxonomy and revision of the definition of Gleysols, Anthrosols and also aquic conditions in WRB soil classification system are highly recommended.
The results indicated that WRB soil classification system could explain the soils pollution and also their effects on human health for the studied soils. Definition of some quantitative sub qualifiers for toxic can be useful to improve the efficiency of WRB for classifying polluted soils. Incorporating some criteria for pollution hazards in American Soil Taxonomy should be considered in early future.

The contamination of agricultural crops with heavy metals due to soil and atmospheric contamination is a potential threat for their quality and their safety. Heavy metals such as Cd and Pb have been reported for their carcinogenic effects. The aim of this study was to investigate the lead and cadmium concentration in some of crops grown in Isfahan province, Iran. During two seasons (spring and summer), 80 samples of four different crops (20 samples from each crop) were randomly harvested from some of the agricultural lands of Isfahan province. After sample preparation, lead and cadmium contents were determined by atomic absorption spectrometry. The average concentration of Pb and Cd were different in different crops. A significant difference (p<0.05) was observed between mean concentration of lead in beetroot with onion and also cabbage whereas no significant difference was observed for lead between beetroot and lettuce (p>0.05). Means comparison showed a significant difference for cadmium between beetroot and cabbage and also beetroot and onion (p<0.001). Results showed that the concentration of Pb and Cd in most of the samples was higher than the standard limits reported by Iran (maximum tolerance of heavy metal in lettuce, cabbage, rootbeet and onion is 0.2, 0.3, 0.1, and 0.1 for lead and 0.1, 0.05, 0.05 and 0.05 UNIT for cadmium respectively) and FAO-WHO. The findings of this study indicated that although most of the sampling plants were contaminated with lead and cadmium, the estimated daily intake of each metal (EDI) showed that except lead in lettuce, other crops have EDI below the provisional tolerable daily intake (PTDI) recommended by the Institute of Standards and Industrial Research of Iran. In order to better management, preventing pollution and also finding the origin of elements, analyzing heavy metals content in soil, water, and dust of this region is recommended.

Soil fertility measures such as cation exchange capacity (CEC) may be used in upgrading soil maps and improving their quality. Direct measurement of CEC is costly and laborious. Indirect estimation of CEC via pedotransfer functions, therefore, may be appropriate and effective. Several delineations of two consociation map units consisting of two soil families, Shahrak series and Chaharmahal series, located in Shahrekord plain were identified. Soil samples were taken from two depths of 0-20 and 30-50 cm and were analyzed for several physico-chemical properties. Clay and organic matter percentages as well as moisture content at -1500 kPa correlated best with CEC. Pedotransfer functions were successfully developed using regression and artificial neural networks. In this research, it seemed that one hidden layer with one node was sufficient for all neural networks models. The best regression model consisting of organic matter and clay variables showed R2=0.81 and RMSE=7.2 while best corresponding neural network with a learning coefficient of 0.3 and an epoch of 40 had R2=0.88 and RMSE=0.34. Data partitioning according to soil series and soil depths increased the accuracy and precision of the functions. Compared to regression, artificial neural network technique gave pedotransfer functions with greater R2 and smaller RMSE.