Volume 18, Issue 2 (9-2025)
ijhe 2025, 18(2): 229-244 |
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Salimifard A, Yaghmaeian K, Aghaei M, Dastjerdi N, Changani Khorasgani F. Comprehensive analysis of waste from Iran's sugar beet industry: quantitative assessment, estimation of production coefficients, and evaluation of waste production correlation with raw material consumption (2002–2022). ijhe 2025; 18 (2) :229-244
URL: http://ijhe.tums.ac.ir/article-1-7032-en.html
URL: http://ijhe.tums.ac.ir/article-1-7032-en.html
Ali Salimifard1 
, Kamyar Yaghmaeian1 , Mina Aghaei1 , Nazanin Dastjerdi1 , Fazlollah Changani Khorasgani *2
, Kamyar Yaghmaeian1 , Mina Aghaei1 , Nazanin Dastjerdi1 , Fazlollah Changani Khorasgani *2
1- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran AND Center for Solid Waste Research (CSWR), Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran ,Fchangan@tums.ac.ir
2- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran AND Center for Solid Waste Research (CSWR), Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran ,
Abstract: (786 Views)
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.
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.
Keywords: Waste management, Waste production rate, Sugar industry waste, Filter mud, Sugar beet pulp
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