arvindadvar/UNESCO-registered-persian-qanats-microbial-quality: Reproducible Dataset and Code for Deterministic and Probabilistic QMRA of Escherichia coli in Persian UNESCO-Registered Qanats
Abstract
This repository provides a fully reproducible research package supporting a deterministic and probabilistic quantitative microbial risk assessment (QMRA) of Escherichia coli in Persian UNESCO-registered qanats used for drinking water supply. The repository includes raw microbial and physicochemical water quality data, processed datasets, Python scripts, and Excel spreadsheets used for exposure assessment and risk modeling, as well as complete methodological documentation. Deterministic (point-estimate) and probabilistic (Monte Carlo–based) risk assessments are presented, including daily and annual infection probabilities, annual illness probabilities, sensitivity analysis, and health risk classification based on international guidelines. High-resolution figures and tables corresponding to the Results section of the associated manuscript are provided to ensure transparency and reproducibility. This repository is intended to support result verification, methodological reuse, and future comparative studies in microbial risk assessment of traditional water supply systems.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 January 2026