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Industrial Wastewater Loads and Pretreatment Performance of Beverage Industries Discharging to Mbeya Municipal Waste Stabilisation Ponds beya Municipal Waste Stabilization Ponds
Corresponding Author(s) : Eng. Eline Gerson
MUST JOURNAL OF RESEARCH AND DEVELOPMENT,
Vol. 6 No. 3 (2025)
Abstract
Industrial wastewater is a growing threat to municipal Waste
Stabilisation Ponds (WSPs) in rapidly urbanising Sub-Saharan cities.
This study evaluated the pretreatment efficiency and quantified
pollutant loads from three major beverage industries—Tanzania
Breweries Limited (TBL), Coca-Cola Kwanza, and Pepsi—that
discharge into the Kalobe WSP in Mbeya, Tanzania. Weekly grab
samples were collected over a one-month period (n = 12 per
industry), and physicochemical parameters, including BOD₅, COD,
TSS, nutrients, and pH, were analysed following Standard Methods.
Daily pollution loads (kg/day) were calculated from measured flows
and concentrations, and statistical differences were tested using
one-way ANOVA and Pearson correlation at a 95% confidence
level. Results showed significant variation in wastewater quality
among the industries (p < 0.05). In terms of treatment efficiency,
Coca-Cola consistently maintained the lowest pollutant
concentrations, demonstrating effective pretreatment and
compliance with national standards. TBL recorded elevated
suspended solids due to brewing by-products, while Pepsi
exhibited the poorest pretreatment performance, discharging the
highest organic loads (BOD: 124.81 kg/day; COD: 245.46 kg/day)
despite moderate flow. Collectively, Pepsi accounted for 71% of
BOD and 76% of COD loads entering the WSP, underscoring that
industries with insufficient pretreatment disproportionately stress
municipal systems. The findings underscore the urgent need for
targeted upgrades to Pepsi’s pretreatment facility, stricter
enforcement of load-based discharge permits, and improved
industry–utility collaboration. This study is the first in Tanzania to
apply a mass-based load assessment framework for industrial
discharges, providing a replicable model for regulatory action. The
results
support implementation of Tanzania’s Industrial
Wastewater Regulations (2020) and contribute to achieving SDG
6.3 on reducing untreated wastewater.
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