This thesis describes the development of a new technique which significantly extends the applicability of stochastic point rainfall models that require historical data for calibration. The technique is demonstrated using a high-resolution point rainfall model based on wet-dry alternating storm events. A model has been produced that is well defined and can be vigorously compared against numerous observed statistics in a quantative manner. The rainfall model presented in this thesis can be used to provide accurate synthetic rainfall data at sites with minimal historical rainfall data providing a powerful tool for application in hydrological risk analysis across Australia.Thesis (Ph.D.) -- University of Adelaide, Dept. of Civil and Environment...
In this paper, an event-based model is presented which enables to fully and accurately describe (in ...
For planning of urban drainage systems using hydrological models, long, continuous precipitation ser...
Urbanization and climate change encourage water managers to improve their ability to predict possibl...
Australia is typical of many countries in that it has an extensive network of rainfall recording sta...
The point rainfall model presented extends previous work on event-based rainfall models and overcome...
The temporal and spatial variability of Australia’s climate affects the quantity and quality of its ...
Synthetic rainfall simulations from stochastic models are commonly used for water resource managemen...
This thesis presents an approach for generating long synthetic sequences of single-site daily rainfa...
The temporal and spatial variability of Australia’s climate has a profound impact on water reso...
A robust model for disaggregation of daily rainfall data at a point within a large region to any fin...
Research Doctorate - Doctor of Philosophy (PhD)The hydrologic response of urban catchments is sensit...
Short-time-intensity rainfall is often required in experimental and predictive studies of runoff, er...
Continuous simulation of extended rainfall sequences is becoming an increasingly important tool in r...
Rainfall data are generally required in computer simulations of rainfall-runoff processes, crop grow...
Research Doctorate - Doctor of Philosophy (PhD)Rainfall is the key input for the hydrology predictio...
In this paper, an event-based model is presented which enables to fully and accurately describe (in ...
For planning of urban drainage systems using hydrological models, long, continuous precipitation ser...
Urbanization and climate change encourage water managers to improve their ability to predict possibl...
Australia is typical of many countries in that it has an extensive network of rainfall recording sta...
The point rainfall model presented extends previous work on event-based rainfall models and overcome...
The temporal and spatial variability of Australia’s climate affects the quantity and quality of its ...
Synthetic rainfall simulations from stochastic models are commonly used for water resource managemen...
This thesis presents an approach for generating long synthetic sequences of single-site daily rainfa...
The temporal and spatial variability of Australia’s climate has a profound impact on water reso...
A robust model for disaggregation of daily rainfall data at a point within a large region to any fin...
Research Doctorate - Doctor of Philosophy (PhD)The hydrologic response of urban catchments is sensit...
Short-time-intensity rainfall is often required in experimental and predictive studies of runoff, er...
Continuous simulation of extended rainfall sequences is becoming an increasingly important tool in r...
Rainfall data are generally required in computer simulations of rainfall-runoff processes, crop grow...
Research Doctorate - Doctor of Philosophy (PhD)Rainfall is the key input for the hydrology predictio...
In this paper, an event-based model is presented which enables to fully and accurately describe (in ...
For planning of urban drainage systems using hydrological models, long, continuous precipitation ser...
Urbanization and climate change encourage water managers to improve their ability to predict possibl...