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Showing 3 results for Chlorine
Survey of Bacteriological Quality of the Drinking Water in Rural Areas of Saqqez City
M.h Dehghani, M Ghaderpoori, M Fazlzadeh, S Golmohamadi,
Volume 2, Issue 2 (9-2009)
Abstract

Backgrounds and Objectives:Safe drinking water providing is one of the main purposes in the community. Development and improvement of community is related to the public health. In this study !we studied the bacteriological quality of 116 villages under coverage of the water and wastewater companies in rural areas of Saqqez in.1386
Material and Methods:Drinking water of these rural areas have provided of deep, semi-depth- wells and spring water sources. Because in numerous rural areas both sources of drinking water and in some of them different sources of drinking water were used (old and new storage water source), in general, 359 samples were collected and transferred to the laboratory for testing to evaluate its quality. We also used linear Regression statistical analysis for collected data.
Results:results show that residual chlorine in drinking water in 33.88 percent of rural areas population were in range 0.2-1 mg/l. For 98.3 percent of the seqqez rural population, the turbidity was lower than the maximum permissible levels of drinking water standards of Iran (5 NTU). There was no any E.coli contamination in 88 percent of drinking water in saqqez rural areas.
Conclusion:Based on WHO guidelines concerning the microbial quality of water published in 2006! the average indicator for lack of E.coli in water of rural areas of seqqez was 88 percent and water is safe or good for drinking.


Optimization of chlorine injection dosage in water distribution networks using GANetXL model
A Moghaddam, M Mokhtari, R Peirovi,
Volume 10, Issue 3 (12-2017)
Abstract
Background and Objective: one of the steps in water treatment to protect microbial quality of water network is disinfection. Chlorine is one of disinfectants. It is necessary to maintain Free Residual Chlorine (FRC) between minimum and maximum throughout the distribution system in accordance to health standards. This study was aimed to optimize Chlorine dosage in water distribution networks using GANetXL model.
Materials and Methods: In this paper for the first time using an add-in called GANetXL optimization that uses a genetic algorithm, the Chlorine injection was optimized in a reference network based on dynamic connection to EPANET2 hydraulic and qualitative analysis in Excel software. The objective function is formulated such that the squared difference between computed chlorine concentrations and the minimum residual concentration at all monitoring nodes at all times is minimum. The decision variables were the optimized injection dose at boosters’ locations.
Results: The injection rate was obtained (minimum: 0, average: 183.87, maximum: 776.57 and total 4412.84 mg/min per a day) at the station as the number of generation was reduced to 200. Critical nodes formed 20% of the total nodes of network.
Conclusion: Based on the results, minimization of Chlorine whilst comply with FRC standard has both health and economical effects. The results can help the water distribution system management in terms of water quality (by maintaining FRC), health promotion and monetary.
 
 

Determination of organochlorine pesticide residues in the raw milk taken from milk collection centers in Urmia in 2020
Naiema Vakili Saatloo, Tooraj Mehdizadeh, Javad Aliakbarlu, Rahele Tahmasebi,
Volume 14, Issue 2 (9-2021)
Abstract
Background and Objective: Milk is one of the most important components of human food. In recent decades, the continued use of pesticides has led to contamination of soil, water, air and milk and caused public concern in the community. Long-term exposure to pesticide residuals in the food chain can be harmful. Therefore, there is a need to control environmental conditions in order to improve its healthy and sustainable food processing practices.
Materials and Methods: In this study, 30 samples of raw milk were randomly collected in October 2020, from milk collection centers in Urmia and the residual pesticides were determined using gas chromatography–mass spectrometry (GC-MS).
Results: Organochlorine pesticides were detected in some raw milk samples. The highest concentrations of Lindane (γ-HCH) were detected with the values ranging from 0.3 to 0.6 mg/kg in 5 milk samples. Atrazine was detected in 15 samples with the values ranging from 0.8 to 1.33 mg/kg and alachlor was found in 13 samples with the varied range of 0.35 to o.5 mg/kg. Organochlorine pesticide concentrations were higher than maximum residue level (MRL) in all contaminated milk samples according to the values mentioned by the European Union.
Conclusion: This study showed that atrazine, lindane and alachlor were higher than MRL according to European Commission (EC). However, other organochlorine pesticides such as Heptachlor, Aldrin and hexachlorocyclohexane (HCH) isomers (α, β and γ) were not detected.

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