The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Modeling dust emission caused by wind erosion
Abstract
A model for the estimation of total dust production for the United States is discussed. Its primary use will be in the inventory of alkaline elements for use in acid/base balance studies of atmospheric precipitation by the National Acid Precipitation Assessment Program (NAPAP). The model is a summation of the expected dust production caused by wind erosion for individual sampling units of the detailed soil and land use inventory of the National Resources Inventory, compiled by the U.S. Department of Agriculture. The model is based on a dust emission function derived theoretically and verified by experiment. An extremely important parameter is the threshold velocity for dust production; this parameter is dependent on effects of vegetative residue, roughness of the soil, live standing plants, soil texture and the effect of atmospheric precipitation. Experimentation has supplied values of this parameter for the calculation. Wind data used in the model were obtained from the Wind Energy Resource Information System (WERIS). The model was calibrated with dust emission data for the area, including the panhandles of Texas and Oklahoma.
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Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Continuous Univariate Distributions.
Omori, Y., Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995) · Journal of the American Statistical Association · doi:10.2307/2291547 · Cited by 9,084
Turbulent transfer in the lower atmosphere
Priestley, C. H. B. (1959) · Medical Entomology and Zoology · Cited by 627
Gillette, D. A., Blifford, I. H., & Fryrear, D. W. (1974) · Journal of Geophysical Research · doi:10.1029/jc079i027p04068 · Cited by 281
Self-citationGILLETTE, D. A., & WALKER, T. R. (1977) · Soil Science · doi:10.1097/00010694-197702000-00004 · Cited by 200
Self-citationON THE PRODUCTION OF SOIL WIND EROSION AEROSOLS HAVING THE POTENTIAL FOR LONG RANGE TRANSPORT.
Gillette, D. A. (1974) · Cited by 125
Self-citation
Cited by
The physics of wind-blown sand and dust
Kok, J. F., Parteli, E. J. R., Michaels, T. I., & Karam, D. B. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/10/106901 · Cited by 1,608
Formation of Urban Fine Particulate Matter
Zhang, R., Wang, G., Guo, S., Zamora, M. L., Ying, Q., Lin, Y., Wang, W., Hu, M., & Wang, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00067 · Cited by 1,426
Atmospheric global dust cycle and iron inputs to the ocean
Mahowald, N. M., Baker, A. R., Bergametti, G., Brooks, N., Duce, R. A., Jickells, T. D., Kubilay, N., Prospero, J. M., & Tegen, I. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002402 · Cited by 1,236
A review on East Asian dust storm climate, modelling and monitoring
Shao, Y., & Dong, C. H. (2006) · Global and Planetary Change · doi:10.1016/j.gloplacha.2006.02.011 · Cited by 507
The role of dust in climate changes today, at the last glacial maximum and in the future
Harrison, S. P., Kohfeld, K. E., Roelandt, C., & Claquin, T. (2001) · Earth-Science Reviews · doi:10.1016/s0012-8252(01)00041-1 · Cited by 447
Metadata
- Authors
- Gillette, D. A., & Passi, R.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 1988-11-20
- Volume
- 93
- Issue
- D11
- Pages
- 14233-14242
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2069344639
- Cited by
- 441
- References
- 6
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.