235 Advancing the Understanding and Management of Groundwater Pollution with Arsenic and Other Geogenic Contaminants Using Geospatial Tools, Machine Learning, and Data Science, Part I
The growing trend of data aggregation and analysis, along with emerging technologies like machine learning, has significantly improved our understanding of groundwater basins, enabling better assessments of water quality for direct consumption and treatment in groundwater supply management.
Wednesday, 22 October 2025
8:00 AM - 12:00 PM
HBGCC, 210AB
Understanding the extent of Groundwater Pollution with Fluoride, Arsenic, and Other Geogenic Contaminants in Rwanda
Paper number: 235-13
Program: Technical Sessions
Time: 11:10 AM – 11:30 AM
Authors
-
Christian SekomoNational Industrial Research and Development Agency, Kigali
-
Emmanuel NgendahayoLund University, Lund
-
Prosun BhattacharyaKTH ROYAL INSTITUTE OF TECHNOLOGY, Stockholm
Abstract
Groundwater remains the primary source of drinking water for most people in rural Rwanda. However, naturally occurring geogenic contaminants pose growing risks to public health, particularly in areas with complex volcanic and metamorphic geology. To address the lack of baseline data and systematic monitoring, a nationwide Rapid Assessment of Drinking Water Quality (RADWQ) was conducted in 2018 by the Rwanda Utilities Regulatory Authority (RURA), with support from UNICEF and in collaboration with the University of Rwanda. The study assessed 602 rural water supply sources and analysed water samples from 296 households that rely on these sources, with a focus on springs, boreholes, and piped systems. The findings revealed significant geochemical pollution challenges. Arsenic was identified as a high-priority contaminant. Six percent of water sources exceeded Rwanda’s maximum permissible level (10 μg/L), with the Northern Province showing the highest prevalence, affecting 21% of piped systems and 31% of springs. An estimated 420,000 people are at risk of arsenic-related illnesses, including skin disorders and cancers. Fluoride exceeded national guidelines (1.5 mg/L) in 10% of sources, primarily boreholes and springs in the Western Province. This places an estimated 760,000 people at risk of dental or skeletal fluorosis. Manganese levels were elevated in 57% of rural sources. While mainly an aesthetic concern, 7% exceeded the WHO health-based guideline (0.4 mg/L), affecting over 530,000 people, with potential neurotoxic effects in children. Iron exceeded the national limit (0.3 mg/L) in 15% of supplies, impacting taste and turbidity but posing no direct health threat. Mercury, particularly in the Eastern Province, surpassed the Rwandan standard (1 μg/L) in 26% of supplies. Though fewer samples (6%) exceeded the WHO guideline (6 μg/L), the affected population (~320,000) faces serious risks to kidney and nervous system health. These findings emphasize the urgent need for prioritizing safe source selection, pre-distribution testing, and targeted mitigation of arsenic and fluoride exposure. Expanding aquifer characterisation and delineation and deploying low-cost water treatment technologies or alternative water sources will be critical in safeguarding public health and achieving water safety targets in rural Rwanda.
Keywords: Groundwater, Geogenic Contaminants, Aquifer Characterisation, RADWQ
Geological Society of America Abstracts with Programs. Vol. 57, No. 6
doi: 10.1130/abs/2025AM-414802
© Copyright 2025 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.