Bottle Test Free Chlorine Bulk Decay Coefficient Statistical Fitting for Water Supply Systems via State Estimation Techniques
Free chlorine residual is the most widely adopted disinfectant residual in water supply systems. Chlorine is usually applied at treatment works, but it decays as water flows and spends time within the network. Chlorine decay is the result of a bulk and a wall decay component. Bulk decay may be considered invariable through the pipe network (it only depends on water composition) and is often characterized at the entrance to the system through bottle tests, which measure chlorine evolution over time in a laboratory environment to then adjust a model (dependent on one or more coefficients) that represents its behavior. Previous studies have acknowledged that the bulk decay coefficient varies widely and that free chlorine measurements are subject to measurement errors, but they have not quantified the impact of these errors on the bulk decay coefficient. The aim of this paper is to provide a methodology that statistically fits chlorine’s bulk decay coefficient based on bottle test results, with appropriate management of uncertainty effects. The proposal is to use state estimation techniques, which combine free chlorine measurements and system knowledge (in this case, a first-order bulk decay model) to provide the most likely chlorine behavior and its associated uncertainty. This approach goes one step beyond previous studies, which report only a single value of the bulk decay coefficient without accounting for randomness, and thus fail to assess true variability, leading to unrepresentative comparisons. Results for water samples from different sources demonstrate the importance of controlling the fitting process through state estimation to understand and compare the bulk decay coefficient.
Authors
- Sarai Díaz (ORCID: https://orcid.org/0000-0002-5478-1768)
- Javier González (ORCID: https://orcid.org/0000-0001-7843-8537)
- Elena Cejas
Institutions
- University of Castilla-La Mancha (ES)
Publication Details
- Journal
- Water
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3390/w17202990
- Primary Topic
- Water Systems and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerio de Ciencia, Innovación y Universidades
- European Commission
- Universidad de Castilla-La Mancha
- Junta de Comunidades de Castilla-La Mancha
- European Regional Development Fund
- Agencia Estatal de Investigación
- European Social Fund