Search published articles


Showing 2 results for Changani

Fazlollah Changani, Anvar Asadi, Gholam Ali Haghighat, Amir Hossein Mahvi,
Volume 5, Issue 1 (6 2012)
Abstract

MicrosoftInternetExplorer4 Background and Objectives: since there is not any information about the quality and quantity of carpet cleaning wastewater, this study was done for the evaluation of carpet cleaning wastewater   characterization in Tehran.
Materials and Methods: There are 122 carpet-cleaning units in Tehran. Compound samplings were taken from 10 randomly selected carpet-cleaning units. Each unit was sampled 5 times and analyzed based on the Standard Methods. Quality parameters measured included chemical oxygen demand (COD), detergent, color and suspended solids (SS), and data was analyzed using statistical software spss16.
Results: Results showed that the amount of water usage for carpet cleaning was 30.84 liters per square meter of carpet washed. The average level of COD, color, detergent and SS in the effluent of carpet cleaning unit was 367.4   mg/l, 171.85 ADMI, 55.51 mg/l and 359.62 mg/l, respectively.
Conclusion: The effluent characteristics of carpet cleaning units are almost with in the domestic wastewater range. However, since these wastes are disposed untreated into the environment which are then enter surface and groundwater, all measured parameter were higher than proposed standards regulated by EPA, So treating process must be done before disposal.

!mso]> ject classid="clsid:38481807-CA0E-42D2-BF39-B33AF135CC4D" id=ieooui>


Ali Salimifard, Kamyar Yaghmaeian, Mina Aghaei, Nazanin Dastjerdi, Fazlollah Changani Khorasgani,
Volume 18, Issue 2 (9-2025)
Abstract

Background and Objective: This descriptive-analytical study examined 21 years of data from Iran’s sugar industry. Waste production data were extracted from the Iranian Sugar Factories Association, and statistical analyses, including normality tests and Spearman correlation, were conducted using R software. Additionally, ArcGIS software was used to create a distribution map of active sugar beet industries in the country.
Materials and Methods: This descriptive-analytical study analyzed 21 years of data from Iran’s sugar industry. Waste production data were obtained from the Iranian Sugar Factories Association. Statistical analyses, including normality testing and Spearman correlation, were performed using R software. In addition, ArcGIS software was used to generate a distribution map of active sugar beet industries across the country.
Results: The results indicated a positive correlation between sugar beet consumption and the production of sugar beet pulp and filter mud. The estimated production coefficients were 0.29 and 0.08 tons per ton of raw material, respectively.
Conclusion: Efficient management of these wastes allows for their beneficial use in animal feed, biogas production, and soil amendment. Developing comprehensive waste management strategies is essential to minimize environmental impacts and improve the overall efficiency of the sugar industry.
 


Page 1 from 1     

© 2026 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb