S
Scott Rayburg
Researcher at Swinburne University of Technology
Publications - 47
Citations - 1178
Scott Rayburg is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Floodplain & Wetland. The author has an hindex of 13, co-authored 40 publications receiving 939 citations. Previous affiliations of Scott Rayburg include University of Canberra & University of Technology, Sydney.
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Climate change impacts on meteorological, agricultural and hydrological droughts in China
TL;DR: In this article, a bias corrected daily climate projections from five global circulation models (GCMs) under the RCP8.5 emission scenarios were fed into a calibrated Variable Infiltration Capacity (VIC) hydrologic model to project future hydrological changes in China.
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Soil erosion resistance of “Grain for Green” vegetation types under extreme rainfall conditions on the Loess Plateau, China
TL;DR: Wang et al. as mentioned in this paper explored the value of the Grass for Green (GFG) policy by examining the response of three different vegetation types (grassland, woodland and orchard) in controlling erosion from an extreme rainfall event in the Northern Shaanxi Province on the Loess Plateau of China.
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Rainwater harvesting potential for southwest Nigeria using daily water balance model
TL;DR: In this article, a simple spreadsheet based daily water balance model was developed using daily rainfall data, contributing roof area, rainfall loss factor, available storage volume, tank overflow and rainwater demand.
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A field investigation into the effects of progressive rainfall-induced soil seal and crust development on runoff and erosion rates: The impact of surface cover
Mel Neave,Scott Rayburg +1 more
TL;DR: In this article, the authors used rainfall simulation experiments to investigate interrill soil crust and seal development in response to structural and depositional processes on a semiarid piedmont in southern New Mexico, USA.
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A comparison of digital elevation models generated from different data sources
TL;DR: In this article, the authors compare LiDAR-based and ground-based digital elevation models (DEMs) generated from three different data sources, of the physically complex Narran Lakes Ecosystem, a major floodplain wetland ecosystem in Australia.