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Showing 3 results for Hedayati

Shaho Karami, Gholamreza Nabibidhendi, Hamidreza Jafari, Hassan Hoveidi, Amir Hedayati,
Volume 7, Issue 2 (10-2014)
Abstract

Background & Objectives: Human environment is surrounded bychemicals that could directly or indirectly endanger human health. Some statistics of WHO is indicative of the fact that four million people are employed in the chemical industry throughout the world and one million people die or become disabled annually due to contact with chemicals. Moreover, 1-4 Millions chemical toxicity occur annually. The purpose of this study was to understand the risks involved in chemicals in the workplace, to assess the task risk, and to propose appropriate control measures in order to eliminate or reduce risk in the petrochemical industry. Materials & Methods: In this study, the chemicals were identified in Arak Petrochemical and features that are indicative of hazardous materials were identified and using TOPSIS, The hazard rate were determined. Then the job duties of employees and employee exposure rate with chemicals were calculated and finally, a risk rate for exposure to chemicals in job duties was determined. Results: It was found that chemicals do not have too high risk to employees however, but the high risky chemicals were five chemicals including naphtha, ammonia, acetic acid, chlorine, and methanol for operational staff and two chemicals, i.e. ammonia and chlorine for operation and maintenance staffs . Conclusion: It is better to have an alternative for the materials that their risk rang is high and very high, and their production is suggested to be avoided.


Sm Soleimanpour, Sh Mesbah, B Hedayati,
Volume 11, Issue 1 (6-2018)
Abstract

Background and Objective: Determination of quality parameters of drinkable water is important, especially in developing countries, to increase the productivity and better management and planning of water resources. The aim of current study was to apply CART decision tree data mining technique to determine the most effective factors on drinkable water quality in Kazeroon plain, located west of Fars province, Iran.
Materials and Methods: Qualitative parameters of 60 drinkable wells such as SAR, Na, Cl, SO4, TH, TDS, pH, NO3, CaCO3, HCO3, Ca, Mg, K and EC were taken in the study area. The most effective factors on quality of drinkable water were determined with 90% accuracy, using CART decision tree data mining technique in Clementine 12.0 software.
Results: The results showed that total dissolved solids (TDS) and calcium content (Ca) had the highest impact on quality of drinking water. Therefore, when the TDS of water in this plain is equal or less than 495 mg/L and the calcium content is equal or less than 6.150 meq/L, the water is suitable for drinking.
Conclusion: The TDS and Ca content were the most effective parameters on the quality of drinkable water in this plain, due to its geological formation and the existence of CaCO3 in its structure. The water purification, reduction of soluble material concentration, and monitoring of wells in this plain are recommended.
 

M Fallah, Ar Pirali Zefrehei, Saa Hedayati,
Volume 11, Issue 2 (9-2018)
Abstract

Background and Objective: Due to the vulnerability of water resources, quality control of surface water is one of the key issues in environmental conservation programs. In recent years, Anzali wetland has been exposed to numerous threats, including environmental pollutants. TOPSIS is an efficient and reliable way to assess the quality of water resources.
Materials and Methods: In order to evaluate water quality condition, Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), temperature, pH, turbidity, Total Suspended Solid (TSS), phosphate (PO4-), nitrate (NO3-) and Fecal Coliforms (FC) were measured seasonally from 10 sites of Anzali International Wetland in 2014 and the water quality condition was estimated using TOPSIS method.
Results: The highest BOD5, phosphate, temperature and fecal coliform were measured at station 8. Comparison of TOPSIS values in different sampling stations showed the minimum (0.339) and maximum values (0.689) at the stations 5 and 8, respectively. According to the result, the station 5 (Sorkhankal) had the best water quality condition and station 8 (Pirbazar) had the lowest one. Also, seasonal results of TOPSIS values showed that the maximum value was at spring (0.742).
Conclusion: Discharge of effluents from land uses, agricultural and industrial activities located along the stream, could be considered as important reasons for decreasing water quality. Our results showed that TOPSIS method was clearly able to demonstrate the qualitative changes of water resources, indicating a moderate water quality for Anzali international wetland.


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