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); [یسررب و دیلوت بیارض نیمخت ،یمک یبایزرا :ناریا یردنغچ دنق عیانص یاهدنامسپ عماج لیلحت)1401-1381( یفرصم ماخ هدام اب دنامسپ دیلوت یگتسبمه]



Salimifard A ; Yaghmaeian K ; Aghaei M ; Dastjerdi N ; Khorasgani FC
Source: Iranian Journal of Health and Environment Published: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. Copyright © 2025 Iranian Association of Environmental Health, and Tehran University of Medical Sciences. Published by Tehran University of Medical Sciences. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Noncommercial uses of the work are permitted, provided the original work is properly cited.