ORCID Profile
0000-0002-5020-3813
Current Organisation
Department of Biodiversity, Conservation and Attractions
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Publisher: California Digital Library (CDL)
Date: 31-08-2019
Publisher: American Geophysical Union (AGU)
Date: 08-2018
DOI: 10.1029/2017EF000746
Publisher: Springer Science and Business Media LLC
Date: 22-03-2017
DOI: 10.1038/S41598-017-00451-X
Abstract: In countless systems, subjected to variable forcing, a key question arises: how much time will a state variable spend away from a given threshold? When forcing is treated as a stochastic process, this can be addressed with first return time distributions. While many studies suggest exponential, double exponential or power laws as empirical forms, we contend that truncated power laws are natural candidates. To this end, we consider a minimal stochastic mass balance model and identify a parsimonious mechanism for the emergence of truncated power law return times. We derive boundary-independent scaling and truncation properties, which are consistent with numerical simulations, and discuss the implications and applicability of our findings.
Publisher: American Geophysical Union (AGU)
Date: 25-01-2013
DOI: 10.1029/2012JF002402
Publisher: Wiley
Date: 13-10-2023
DOI: 10.1002/ECO.2596
Publisher: Elsevier BV
Date: 02-2017
Publisher: American Geophysical Union (AGU)
Date: 16-08-2012
DOI: 10.1029/2011JG001870
Publisher: California Digital Library (CDL)
Date: 15-10-2019
Publisher: Wiley
Date: 10-04-2019
DOI: 10.1002/HYP.13435
Publisher: American Geophysical Union (AGU)
Date: 11-2019
DOI: 10.1029/2019WR025336
Publisher: American Geophysical Union (AGU)
Date: 09-2008
DOI: 10.1029/2007WR006652
Publisher: MDPI AG
Date: 02-12-2020
DOI: 10.3390/W12123379
Abstract: Nutrient and contaminant losses in agricultural landscapes are directly controlled by hydrological (flow pathways), chemical (sorption, speciation and transformations), biological processes (fixation, uptake) and indirectly by demographic (growing population), economic (food production) and societal drivers (in idual attitudes, farming tradition) that control how agricultural landscapes are managed [...]
Publisher: American Geophysical Union (AGU)
Date: 30-09-2011
DOI: 10.1029/2010WR010194
Publisher: Wiley
Date: 20-12-2007
Publisher: American Geophysical Union (AGU)
Date: 02-2010
DOI: 10.1029/2008WR007506
Publisher: Copernicus GmbH
Date: 02-04-2007
DOI: 10.5194/HESS-11-1047-2007
Abstract: Abstract. Nonlinear relations between rain input and hillslope outflow are common observations in hillslope hydrology field studies. In this paper we use percolation theory to model the threshold relationship between rainfall amount and outflow and show that this nonlinear relationship may arise from simple linear processes at the smaller scale. When the rainfall amount exceeds a threshold value, the underlying elements become connected and water flows out of the base of the hillslope. The percolation approach shows how random variations in storage capacity and connectivity at the small spatial scale cause a threshold relationship between rainstorm amount and hillslope outflow. As a test case, we applied percolation theory to the well characterized experimental hillslope at the Panola Mountain Research Watershed. Analysing the measured rainstorm events and the subsurface stormflow with percolation theory, we could determine the effect of bedrock permeability, spatial distribution of soil properties and initial water content within the hillslope. The measured variation in the relationship between rainstorm amount and subsurface flow could be reproduced by modelling the initial moisture deficit, the loss of free water to the bedrock, the limited size of the system and the connectivity that is a function of bedrock topography and existence of macropores. The values of the model parameters were in agreement with measured values of soil depth distribution and water saturation.
Publisher: Wiley
Date: 23-11-2017
DOI: 10.1002/HYP.11392
Publisher: Springer Science and Business Media LLC
Date: 20-02-2016
Publisher: American Geophysical Union (AGU)
Date: 11-2017
DOI: 10.1002/2017WR021555
Publisher: American Geophysical Union (AGU)
Date: 02-2012
DOI: 10.1029/2011GL050263
Publisher: American Geophysical Union (AGU)
Date: 11-2009
DOI: 10.1029/2008WR007265
Publisher: Elsevier BV
Date: 04-2010
DOI: 10.1016/J.JCONHYD.2009.12.007
Abstract: The timing and magnitude of rainfall events are known to be dominant controls on pesticide migration into streams and groundwater, by triggering rapid flow processes, such as preferential flow and surface runoff. A better understanding of how regional differences in rainfall impact rapid leaching risk is required in order to match the scale at which water regulation occurs. We estimated the potential amount of rapid leaching, and the frequencies of these events in a case study of the southwest of Western Australia, for one soil type and a range of linearly sorbing, first order degrading chemicals. At the regional scale, those chemicals with moderate sorption and long half lives were the most susceptible to rapid transport within a year of application. Within the region, this susceptibility varied depending upon application time and seasonality in storm patterns. Those chemicals and areas with a high potential for rapid transport on average, also experience the greatest inter-annual variability in rapid leaching, as measured by the coefficient of variation. The timing and frequencies of rapid leaching events appeared to strongly relate to an area's relative susceptibility to rapid leaching. In the study region the results also suggested that frontal rainfall dominates rapid leaching along the western and southern coasts while convective thunderstorms play a greater role in the arid east.
Publisher: California Digital Library (CDL)
Date: 07-09-2019
Publisher: Elsevier BV
Date: 06-2019
Location: Australia
Start Date: 2014
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 2014
End Date: 2017
Funder: Grains Research and Development Corporation
View Funded ActivityStart Date: 2013
End Date: 2017
Funder: The University of Western Australia
View Funded ActivityStart Date: 2014
End Date: 2017
Funder: Department of Parks and Wildlife, Government of Western Australia
View Funded Activity