Sarah Ariano
Assistant Professor
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About
Dr. Sarah Ariano is an Assistant Professor at the University of Toronto, Canada. Her research interests include wastewater surveillance, contaminant transport, and hydrometric data analysis, with a focus on public health implications related to SARS-CoV-2 and environmental factors affecting water quality in urban settings. Recent publications highlight her work on the impact of storm sewer systems and methodological innovations in assessing water flow and quality dynamics.
Articles (9)
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Urban landscapes do not easily fit into common conceptual models of streamflow generation because extensive impervious surfaces, artificial drainage via sewers, stormwater control measures, and the removal of vegetation substantially modify the pathways rainfall and meltwater take to streams. Hydrologic responses are well characterized for urban streams, however, the relative sources and flow pathways of water within urban landscapes are relatively understudied compared with undisturbed areas. Different water sources (e.g. groundwater, or ‘old’ water, rainfall, or ‘new’ water) can have distinct chemical characteristics whose mixing determines the quality of streamwater. In this study, we investigated the relative contribution of different sources of water (pre‐event water/groundwater, rainfall, wastewater, and tap water) to urban stormflow. Water samples were collected from three highly urban streams (65%–89% impervious cover) during 11 storm events and analysed for stable isotopes of oxygen and hydrogen in water (δ 18 O and δ 2 H). Precipitation samples were collected from a nearby precipitation collector to characterize the isotopic signature of new water inputs. Isotopic hydrograph separation (IHS) was used to estimate the relative proportion of new and old water in each event. The IHS results indicated that 25%–63% (δ 18 O) of the storm hydrograph was old water. For 9 of the 11 storms, the peak in old water contribution coincided with peak flow. These results are similar to findings from IHS studies in undisturbed catchments which suggests that under certain conditions (i.e. low intensity, long duration rainfall) the contribution of old water to stormflow in urban catchments is of a similar magnitude to undisturbed catchments. The use of tracer data is important for further exploring the conceptual model of streamflow generation that suggests that new water dominates stormflow in flashy and heavily urbanized catchments, and can be useful for characterizing the role of greenspaces and storm characteristics on water partitioning.
Year:
2022
Year:
2022
Year:
2021
Collaborators (3)
Stephanie J. Melles
University of Toronto
Claire J. Oswald
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Darko Joksimovic
Associate Professor
University of Toronto
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