Data Analysis & Predictive Modelling

Past Projects

Development of Predictive E.coli models for Waitetī, Utuhina, and Ngongotahā bathing sites, Rotorua

Dr Dada calibrated predictive models for real-time prediction of E.coli concentrations that complements the current monitoring approach to recreational water risk assessment. The study used easily measured meteorological and hydrological parameters to reliably predict the concentrations of faecal indicator bacteria (FIB] at three selected recreational sites characterized by a high prevalence of exceedances. The models were built into an interactive platform (GoFIB) that is user-friendly and could be readily used by Council staff with no specialist training. The calibrated and validated GoFIB model lends itself to possible integration with real-time water quality processing systems to generate continuous FIB nowcasts and time series plots.

Development of Predictive E.coli models for Rai Falls, Totara Flats and Waihohai bathing sites, Marlborough District

Dr Dada calibrated predictive models for real-time prediction of E.coli concentrations that complements the current monitoring approach to recreational water risk assessment. The study used easily measured meteorological and hydrological parameters to reliably predict the concentrations of faecal indicator bacteria (FIB] at three selected recreational sites. The calibrated and validated GoFIB model lends itself to possible integration with real-time water quality processing systems to generate continuous FIB nowcasts and time series plots.

Modelling the impact of sewage reticulation on water quality of Lake Tarawera

Dr Dada was the lead investigator on a Lake Tarawera Sewage Reticulation study to assess the potential impact of sewage reticulation on lake water quality. From a public health perspective, this study highlighted the need for efforts aimed at investigating and curbing potential sources of faecal contamination of drinking water sources within the catchment. The study concluded that the implementation of a reticulated sewage system could curtail the influx of manageable sources of nutrients from the lake catchment, as well as reduce public health risks associated with poorly performing on-site treatment systems.

Analysis of high frequency buoy data, Lake Rotorua, New Zealand

This data-exploration project involved quality assurance and quality control, and exploratory analysis of high-frequency buoy data. This project aimed to assess drivers of variations of E. coli abundance in Lake Rotorua as well as to develop multivariate statistical approaches for water quality prediction. The study formed the basis for the publication of an article in a leading environmental science journal on the Development of Predictive Models for Faecal Indicator Bacteria in New Zealand.