Sensor technology can provide more representative water quality data, and often at a lower cost, than traditional methods. In this study, we aim to understand how in-situ real-time water sensors can be used to guide EPA Victoria’s regulatory and strategic decision-making. We used a combination of low and medium-cost sensors to test and compare their potential for detecting changes in water quality related to pollution events. Low-cost sensors monitor depth, oxidation-reduction potential (ORP), electrical conductivity (EC), pH and temperature. Medium-cost sensors monitor all these parameters plus turbidity and are equipped with a central wiper. Sensors were co-deployed in Darebin Creek, Heidelberg West, upstream and downstream of an extensive industrial estate stormwater drain outfall, as well as at the outfall itself. Continuous, real-time data has been collected since October 2022 and is currently being analysed to assess the baseline condition of the creek and the outfall under dry weather conditions. Changes in the baseline condition under dry weather (for example, above 90th percentile for a given parameter) are also being evaluated, as they may indicate pollution events. Preliminary results show that changes in depth, EC and turbidity may be used in conjunction as indicators of pollution events. Patterns in depth and EC changes appear to be similar between both sensors; however, absolute values can differ significantly between them, particularly for extreme values (very low or very high). Further analysis of the data will be used to determine trigger points for response. The results of this study are key to understanding how water managers and regulators can use this type of novel monitoring technology to continuously assess the condition of the environment in real-time and to rapidly respond to pollution events or emergencies that pose a risk to the environment and human health.