<p class="first" id="P1">This paper presents risk-based enteric pathogen log reduction
targets for non-potable
and potable uses of a variety of alternative source waters (
<i>i.e.</i>, locally-collected greywater, roof runoff, and stormwater). A probabilistic
Quantitative
Microbial Risk Assessment (QMRA) was used to derive the pathogen log
<sub>10</sub> reduction targets (LRTs) that corresponded with an infection risk of
either 10
<sup>−4</sup> per person per year (ppy) or 10
<sup>−2</sup> ppy. The QMRA accounted for variation in pathogen concentration and
sporadic pathogen
occurrence (when data were available) in source waters for reference pathogens in
the genera
<i>Rotavirus</i>, Mastadenovirus(human adenoviruses),
<i>Norovirus</i>, Campylobacter, Salmonella, Giardia and
<i>Cryptosporidium</i>. Non-potable uses included indoor use (for toilet flushing
and clothes washing) with
occasional accidental ingestion of treated non-potable water (or cross-connection
with potable water), and unrestricted irrigation for outdoor use. Various exposure
scenarios captured the uncertainty from key inputs,
<i>i.e.</i>, the pathogen concentration in source water; the volume of water ingested;
and for
the indoor use, the frequency of and the fraction of the population exposed to accidental
ingestion. Both potable and non-potable uses required pathogen treatment for the selected
waters and the LRT was generally greater for potable use than non-potable indoor use
and unrestricted irrigation. The difference in treatment requirements among source
waters was driven by the microbial quality of the water – both the density and occurrence
of reference pathogens. Greywater from collection systems with 1000 people had the
highest LRTs; however, those for greywater collected from a smaller population (~
5 people), which have less frequent pathogen occurrences, were lower. Stormwater had
highly variable microbial quality, which resulted in a range of possible treatment
requirements. The microbial quality of roof runoff, and thus the resulting LRTs, remains
uncertain due to lack of relevant pathogen data.
</p>