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Phlip Greenwood   Dr.  Post Doctoral Researcher 
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Phlip Greenwood published an article in March 2019.
Top co-authors
Nikolaus J. Kuhn

78 shared publications

Department of Environmental Sciences, Physical Geography and Environmental Change, Klingelbergstrasse 27, 4056 Basel, Switzerland

Yaxian Hu

5 shared publications

Liangang Xiao

1 shared publications

Publication Record
Distribution of Articles published per year 
(2013 - 2019)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations A prototype tracing-technique to assess the mobility of dispersed earthworm casts on a vegetated hillslope using caesium... Philip Greenwood, Stephen Haley, Markus Zehringer, Nikolaus ... Published: 01 March 2019
Science of The Total Environment, doi: 10.1016/j.scitotenv.2018.11.079
DOI See at publisher website
Article 0 Reads 0 Citations Documenting soil redistribution on livestock-poached pasture using caesium-134 and cobalt-60 as tracers Philip Greenwood, Katrin Meusburger Published: 29 November 2018
Land Degradation & Development, doi: 10.1002/ldr.3226
DOI See at publisher website
Article 4 Reads 3 Citations The invasive alien plant, Impatiens glandulifera (Himalayan Balsam), and increased soil erosion: causation or associatio... Philip Greenwood, Patrick Baumann, Simon Pulley, Nikolaus J.... Published: 04 June 2018
Journal of Soils and Sediments, doi: 10.1007/s11368-018-2041-0
DOI See at publisher website
BOOK-CHAPTER 5 Reads 0 Citations A Review of the Radionuclide, Cobalt-60, as a Fine-Sediment Tracer Philip Greenwood Published: 06 December 2017
Cobalt, doi: 10.5772/intechopen.71304
DOI See at publisher website
Article 0 Reads 6 Citations Conservation tillage and sustainable intensification of agriculture: regional vs. global benefit analysis Nikolaus J. Kuhn, Yaxian Hu, Lena Bloemertz, Jin He, Hongwen... Published: 01 January 2016
Agriculture, Ecosystems & Environment, doi: 10.1016/j.agee.2015.10.001
DOI See at publisher website
Article 0 Reads 5 Citations A Combined Raindrop Aggregate Destruction Test-Settling Tube (RADT-ST) Approach to Identify the Settling Velocity of Sed... Liangang Xiao, Yaxian Hu, Philip Greenwood, Nikolaus J. Kuhn Published: 16 October 2015
Hydrology, doi: 10.3390/hydrology2040176
DOI See at publisher website ABS Show/hide abstract
The use of sediment settling velocity based on mineral grain size distribution in erosion models ignores the effects of aggregation on settling velocity. The alternative approach, wet-sieved aggregate size distribution, on the other hand, cannot represent all destructive processes that eroded soils may experience under impacting raindrops. Therefore, without considering raindrop impact, both methods may lead to biased predictions of the redistribution of sediment and associated substances across landscapes. Rainfall simulation is an effective way to simulate natural raindrop impact under controlled laboratory conditions. However, very few methods have been developed to integrate rainfall simulation with the settling velocity of eroded sediment. This study aims to develop a new proxy, based on rainfall simulation, in order to identify the actual settling velocity distribution of aggregated sediment. A combined Raindrop Aggregate Destruction Test-Settling Tube (RADT-ST) approach was developed to (1) simulate aggregate destruction under a series of simulated rainfalls; and (2) measure the actual settling velocity distribution of destroyed aggregates. Mean Weight Settling Velocity (MWSV) of aggregates was used to investigate settling behaviors of different soils as rainfall kinetic energy increased. The results show the settling velocity of silt-rich raindrop impacted aggregates is likely to be underestimated by at least six times if based on mineral grain size distribution. The RADT-ST designed in this study effectively captures the effects of aggregation on settling behavior. The settling velocity distribution should be regarded as an evolving, rather than steady state parameter during erosion events. The combined RADT-ST approach is able to generate the quasi-natural sediment under controlled simulated rainfall conditions and is adequately sensitive to measure actual settling velocities of differently aggregated soils. This combined approach provides an effective tool to improve the parameterization of settling velocity input for erosion models.