Enhancing transport and decay models for faecal indicator organisms in nearshore coastal waters

Lam, Man Yue ORCID: https://orcid.org/0000-0001-7259-968X and Ahmadian, Reza ORCID: https://orcid.org/0000-0003-2665-4734 2025. Enhancing transport and decay models for faecal indicator organisms in nearshore coastal waters. Environmental Pollution 372 , 126055. 10.1016/j.envpol.2025.126055 Item availability restricted.

PDF - Accepted Post-Print Version Restricted to Repository staff only until 13 March 2026 due to copyright restrictions. Download (1MB)

Abstract

Pathogens in nearshore coastal waters have far-reaching public health and economic implications. Faecal indicator organisms (FIOs) are commonly monitored and modelled to indicate pathogen levels in waterbodies. FIO decay modelling is an integral part of numerical hydro-epidemiological models to simulate the die-off of FIOs in the water bodies. This paper identifies the limitations of one of the comprehensive and widely used FIO decay models, developed by Stapleton et al. and enhances the model by remedying the limitations. The identified limitations are: (i) the decay rates for dark or highly irradiated environments are not accurately presented, and (ii) the effect of salinity is not included. Two enhanced models have been developed, namely (i) the ClipStap model, devised by imposing a minimum decay rate to the Stapleton model, and (ii) the RevStap model, devised by extrapolating the decay rate-irradiation slope at a reference irradiation (260 W / m2) down to lower irradiation regions. The enhanced models reproduced the literature-reported dark decay rates better and significantly improved the agreement between the modelled and measured decay rate. The enhanced decay models were tested by including them in a hydro-epidemiological model for a data-rich case study, namely Swansea Bay, UK. Results show that the RevStap model improved FIO prediction in some cases. Besides the enhanced models, this research attributes the diurnal variations of FIO to the combined action of riverine FIO inflows, tide action, and FIO decay. These insights on the effect of irradiation and diurnal FIO variations are critical for assessing the impact of water quality on human activities and nearshore ecology.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	Elsevier
ISSN:	0269-7491
Funders:	EPSRC and Interreg Atlantic Area Programme
Date of First Compliant Deposit:	31 March 2025
Date of Acceptance:	12 March 2025
Last Modified:	31 Mar 2025 14:15
URI:	https://orca.cardiff.ac.uk/id/eprint/177208

Actions (repository staff only)

Edit Item