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River Water Quality Model no. 1 (RWQM1): II. Biochemical process equations.
In this paper, biochemical process equations are presented as a basis for water quality modelling in rivers under aerobic and anoxic conditions. These equations are not new, but they summarise partsExpand
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River Water Quality Model no. 1 (RWQM1): III. Biochemical submodel selection.
The new River Water Quality Model no. 1 introduced in the two accompanying papers by Shanahan et al. and Reichert et al. is comprehensive. Shanahan et al. introduced a six-step decision procedure toExpand
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Rainfall-induced landslide susceptibility zonation of Puerto Rico
Landslides are a major geologic hazard with estimated tens of deaths and $1–2 billion in economic losses per year in the US alone. The island of Puerto Rico experiences one or two large events perExpand
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River water quality modelling: I. state of the art
River water quality models are used extensively in research as well as in the design and assessment of water quality management measures. The application of mathematical models for that purpose datesExpand
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River Water Quality Model no. 1 (RWQM1): I. Modelling approach.
Successful river water quality modelling requires the specification of an appropriate model structure and process formulation. Both must be related to the compartment structure of running waterExpand
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Generalized Storage-Reliability-Yield Equations for Rainwater Harvesting Systems
Although rainwater harvesting (RWH) is gaining popularity as a sustainable water supply source in urban as well as rural areas, estimating required storage remains an important design challenge. ThisExpand
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Shape-constrained multi-atlas segmentation of spleen in CT
TLDR
We propose to integrate a level set shape model into the traditional label fusion framework to create a shape-constrained multi-atlas segmentation framework and show a statistically significant improvement in spleen labeling accuracy. Expand
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SIMPLE Is a Good Idea (and Better with Context Learning)
TLDR
We re-derive the SIMPLE algorithm in the context of the statistical literature, and show that the atlas selection criteria rest on newly presented principled likelihood models. Expand
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RIVER WATER QUALITY MODEL NO. 1: I. MODELLING APPROACH
Successful river water quality modelling requires the specification of an appropriate model structure and process formulation. Both must be related to the compartment structure of running waterExpand
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outputs Managing projects for change : contextualised project management
This paper will detail three projects which focussed on enhancing online learning at a large Australian distance education University within a School of Business, School of Health and School ofExpand