Spatial and quantitative assessment of wind erosion from adjacent dunes with different surface cover ratios.
BEST traps
Land cover
Land use
Sediment transport
Wind erosion
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
22 Jan 2020
22 Jan 2020
Historique:
received:
23
09
2019
accepted:
16
01
2020
entrez:
24
1
2020
pubmed:
24
1
2020
medline:
14
3
2020
Statut:
epublish
Résumé
Direct measurements, models, and risk maps play significant roles in assessment and monitoring of wind erosion cases. Although active and passive traps allow researchers to measure point sediment transports directly, it is also possible to make geostatistical analysis of wind erosion with grid and random sampling at multiple points. Geostatistical models can be used in multi-sample eolian researches to improve model success and update model parameters. The present study was conducted for case-based geostatistical analysis of sediment transport rates (STRs) over two adjacent dunes (plot A and B) with different vegetation cover rates between 22 May and 15 June 2011. The plot A has a vegetative cover ratio of 30%, while the plot B has a vegetation cover ratio of 2% and sand content of the plots is 88%. Actual mass transports were measured with BEST sediment traps. A total of 19 BEST sediment trap assemblies were placed randomly over the plot A and 21 were placed over the plot B. A climate station was installed over the research site to record climate data throughout the experimental period. There were two wind erosion cases during the research period. U test indicated that differences in sediment transport rates of the plots for each case were significant (p < 0.00). Spatial analyses of STRs (kg m
Identifiants
pubmed: 31970535
doi: 10.1007/s10661-020-8099-3
pii: 10.1007/s10661-020-8099-3
doi:
Substances chimiques
Soil
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
132Subventions
Organisme : Türkiye Bilimsel ve Teknolojik Araştirma Kurumu
ID : 110O296
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