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Volumn 50, Issue 6, 2007, Pages 1981-1986

Ratios of erosive wind energies on dry days and all days in the western United States

Author keywords

Erosive wind energy; Probability; Rain; Wind erosion; Wind speed

Indexed keywords

EROSIVE WIND ENERGY; SIMULATED WIND SPEEDS; WEATHER GENERATORS; WIND EROSION;

EID: 38549132395     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1)

References (18)
  • 2
    • 0027789695 scopus 로고
    • Wind power simulation model for a system of compound wind farms
    • Bryukhan, F. F., and R. D. Diab. 1993. Wind power simulation model for a system of compound wind farms. Wind Eng. 17(1): 15-23.
    • (1993) Wind Eng , vol.17 , Issue.1 , pp. 15-23
    • Bryukhan, F.F.1    Diab, R.D.2
  • 3
    • 0001603701 scopus 로고
    • Influence of moisture on erodibility of soil by wind
    • Chepil, W. S. 1956. Influence of moisture on erodibility of soil by wind. SSSA Proc. 20: 288-292.
    • (1956) SSSA Proc , vol.20 , pp. 288-292
    • Chepil, W.S.1
  • 4
    • 0036738921 scopus 로고    scopus 로고
    • Modelling of wind-driven rain and its soil detachment effects on hillslopes
    • Choi, E. C. 2002. Modelling of wind-driven rain and its soil detachment effects on hillslopes. J. Wind Eng. and Ind. Aerodynamics 90(9): 1081-1097.
    • (2002) J. Wind Eng. and Ind. Aerodynamics , vol.90 , Issue.9 , pp. 1081-1097
    • Choi, E.C.1
  • 6
    • 0001686959 scopus 로고
    • Measured and simulated surface soil drying
    • Durar, A. A., J. L. Steiner, S. R. Evett, and E. L. Skidmore. 1995. Measured and simulated surface soil drying. Agron. J. 87(2): 235-244.
    • (1995) Agron. J , vol.87 , Issue.2 , pp. 235-244
    • Durar, A.A.1    Steiner, J.L.2    Evett, S.R.3    Skidmore, E.L.4
  • 7
    • 33646129249 scopus 로고
    • Techniques for the evaluation of surface wind data in terms of eolian sand drift
    • 78-405. Washington, D.C, U.S. Geological Survey
    • Fryberger, S. G. 1978. Techniques for the evaluation of surface wind data in terms of eolian sand drift. USGS Open-File Report 78-405. Washington, D.C.: U.S. Geological Survey.
    • (1978) USGS Open-File Report
    • Fryberger, S.G.1
  • 8
    • 1642301497 scopus 로고    scopus 로고
    • Homogeneous blended wind data over the contiguous United States
    • JP1.30:, Boston, Mass, American Meteorological Society
    • Groisman, P. V., and H. P. Baker. 2002. Homogeneous blended wind data over the contiguous United States. In Proc. 13th Conference on Applied Climatology, JP1.30: J114-J117. Boston, Mass.: American Meteorological Society.
    • (2002) Proc. 13th Conference on Applied Climatology
    • Groisman, P.V.1    Baker, H.P.2
  • 9
    • 0742308508 scopus 로고    scopus 로고
    • Golden Software, Golden Colo, Golden Software, Inc
    • Golden Software. 2002. Surfer 8 User's Guide. Golden Colo.: Golden Software, Inc.
    • (2002) Surfer 8 User's Guide
  • 12
    • 0024526543 scopus 로고    scopus 로고
    • McKenna-Neuman, C., and W. G. Nickling. 1989. A theoretical and wind tunnel investigation of the effect of capillary water on the entrainment of sediment by wind. Canadian J. of Soil Sci. 69(1): 79-96.
    • McKenna-Neuman, C., and W. G. Nickling. 1989. A theoretical and wind tunnel investigation of the effect of capillary water on the entrainment of sediment by wind. Canadian J. of Soil Sci. 69(1): 79-96.
  • 13
    • 38549095778 scopus 로고    scopus 로고
    • Nicks, A. D., L. J. Lane, and G. A. Gander. 1995. Chapter 2: Weather generator. In USDA Water Erosion Prediction Project: Hillslope Profile and Watershed Model Documentation. D. C. Flanagan and M. A. Nearing, eds. NSERL Report No. 10. West Lafayette, Ind.: USDA-ARS National Soil Erosion Research Lab.
    • Nicks, A. D., L. J. Lane, and G. A. Gander. 1995. Chapter 2: Weather generator. In USDA Water Erosion Prediction Project: Hillslope Profile and Watershed Model Documentation. D. C. Flanagan and M. A. Nearing, eds. NSERL Report No. 10. West Lafayette, Ind.: USDA-ARS National Soil Erosion Research Lab.
  • 14
    • 38549149509 scopus 로고    scopus 로고
    • NOAA. 1993. Solar and meteorological surface observation network 1961-1990. II and III. Asheville, N.C.: NOAA National Climatic Data Center.
    • NOAA. 1993. Solar and meteorological surface observation network 1961-1990. Vol. II and III. Asheville, N.C.: NOAA National Climatic Data Center.
  • 15
    • 0029513187 scopus 로고
    • Threshold velocities of wet soils as affected by wind blown sand
    • Saleh, A., and D. W. Fryrear. 1995. Threshold velocities of wet soils as affected by wind blown sand. Soil Sci. 160(4): 304-309.
    • (1995) Soil Sci , vol.160 , Issue.4 , pp. 304-309
    • Saleh, A.1    Fryrear, D.W.2
  • 16
    • 0141794678 scopus 로고    scopus 로고
    • Seasonal and spatial variations of cross-correlation matrices used by stochastic weather generators
    • Schoof, J. T., and S. M. Robeson. 2003. Seasonal and spatial variations of cross-correlation matrices used by stochastic weather generators. Climate Res. 24: 95-102.
    • (2003) Climate Res , vol.24 , pp. 95-102
    • Schoof, J.T.1    Robeson, S.M.2
  • 17
    • 20044376697 scopus 로고    scopus 로고
    • Comparison of the Weibull model with measured wind speed distributions for stochastic wind generation
    • Van Donk, S. J., L. E. Wagner, E. L. Skidmore, and J. Tatarko. 2005. Comparison of the Weibull model with measured wind speed distributions for stochastic wind generation. Trans. ASAE 48(2): 503-510.
    • (2005) Trans. ASAE , vol.48 , Issue.2 , pp. 503-510
    • Van Donk, S.J.1    Wagner, L.E.2    Skidmore, E.L.3    Tatarko, J.4
  • 18
    • 38549085421 scopus 로고    scopus 로고
    • Wagner, L. E. 1996. An overview of the Wind Erosion Prediction System. In Proc. Intl. Conf. on Air Pollution from Agricultural Operations, 73-78. Ames, Iowa: Midwest Plan Service, Iowa State University.
    • Wagner, L. E. 1996. An overview of the Wind Erosion Prediction System. In Proc. Intl. Conf. on Air Pollution from Agricultural Operations, 73-78. Ames, Iowa: Midwest Plan Service, Iowa State University.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.