Publications by authors named "Chisha Chongo Mzyece"
Article Synopsis
- - The study investigates the transferability of a Bayesian Belief Network (BBN) model designed to simulate monthly stream phosphorus concentrations, applying it to three different catchments with varying hydrology and land use to assess its predictive capabilities.
- - The original BBN model showed strong performance in accurately simulating phosphorus and flow values in poorly and moderately drained catchments, but struggled in groundwater-dominated areas; modifications, like incorporating additional groundwater inputs, led to improved model accuracy.
- - A sensitivity analysis allowed the identification of unnecessary variables, ultimately resulting in an enhanced BBN model that demonstrates better generalization and application across diverse catchments.
Septic tank systems (STS) in rural catchments represent a potential source of microbial pollution to watercourses; however, data concerning the risk of faecal indicator organism (FIO) export from STS to surface waters are scarce. In the absence of empirical data, elicitation of expert judgements can provide an alternative approach to aid understanding of FIO pollution risk from STS. Our study employed a structured elicitation process using the Sheffield Elicitation Framework to obtain expert judgements on the proportion of FIOs likely to be delivered from STS to watercourses, based on 36 scenarios combining: (i) septic tank effluent movement risk, driven by soil hydro-morphological characteristics; (ii) distance of septic tank to watercourse; and (iii) degree of slope.
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