Human Fecal Pollution Monitoring and Microbial Risk Assessment for Water Reuse Potential in a Coastal Industrial-Residential Mixed-Use Watershed

Akechai Kongprajug; Thammanitchpol Denpetkul; Natcha Chyerochana; Skorn Mongkolsuk; Kwanrawee Sirikanchana

doi:10.3389/fmicb.2021.647602

Human Fecal Pollution Monitoring and Microbial Risk Assessment for Water Reuse Potential in a Coastal Industrial-Residential Mixed-Use Watershed

Front Microbiol. 2021 Apr 20:12:647602. doi: 10.3389/fmicb.2021.647602. eCollection 2021.

Authors

Akechai Kongprajug¹, Thammanitchpol Denpetkul², Natcha Chyerochana¹, Skorn Mongkolsuk^{1

3}, Kwanrawee Sirikanchana^{1

3}

Affiliations

¹ Research Laboratory of Biotechnology, Chulabhorn Research Institute, Bangkok, Thailand.
² Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
³ Center of Excellence on Environmental Health and Toxicology (EHT), Ministry of Education, Bangkok, Thailand.

Abstract

Rapid economic development has caused industrial expansion into residential communities, leading to higher fecal pollution loads that could be discharged into aquatic environments. However, little is known regarding the potential microbial impact on human health. This study investigated microbial contamination from coastal industrial-residential community areas in nine sampling sites in waterways during three dry events. A general microbial source tracking (MST) marker, GenBac3, was detected in all samples from all three events, indicating continuing fecal pollution in the area, mostly from human sewage contamination. This was shown by the human-specific genetic marker crAssphage (88.9%) and human polyomavirus (HPyVs; 92.6%) detection. Enteric human adenovirus (HAdV40/41) showed three positive results only from residential sites in the first event. No spatial difference was observed for MST markers and traditional fecal indicators (total coliforms and Escherichia coli) in each event. Still, a significantly lower abundance of GenBac3, HPyVs, and total coliforms in the first sampling event was detected. Spearman's rho analysis indicated a strong correlation among certain pairs of microbial parameters. Multivariate analysis revealed two clusters of samples separated by land use type (industrial vs. residential). According to factor analysis of mixed data, the land use parameter was more associated with physicochemical parameters (i.e., salinity, conductivity, water temperature, and dissolved oxygen). A Quantitative Microbial Risk Assessment (QMRA) was then conducted to estimate the annual infection risks of HAdV40/41 for non-potable water reuse purposes using predicted concentrations from crAssphage and HPyVs. The highest risks (95th percentiles) were ranked by food crop irrigation, aquaculture, and toilet flushing, at 10^-1, 10^-2, and 10^-3 per person per year (pppy). Required treatment levels to achieve a 10^-4 pppy annual infection risk were estimated. QMRA-based water treatment scenarios were suggested, including chlorination for toilet flushing reuse and depth filtration prior to chlorination for aquaculture and food crop irrigation. Microbial monitoring combined with a QMRA could provide better insights into fecal pollution patterns and the associated risks, facilitating effective water quality management and appropriate prior treatments for water reuse.

Keywords: QMRA; fecal indicator; freshwater; industrial estate; land use; microbial source tracking; non-potable water reuse.