Determining the Effective Distance of Wind Shelter Index by Defining Innovative Index Named Virtual Wind Shelter in a Non-Snowy Watershed

Document Type : Regular Paper

Authors

1 PhD Student of Water Resources Management, University of Sistan and Blouchestan, Iran

2 University of Sistan and Baluchestan

3 Assistant Professor, Civil Engineering Group of Shahid Chamran University, Iran

Abstract

The wind’s effectiveness was compared in different points of a watershed using a quantity called The Wind Shelter Index (WSI). It is necessary to choose a distance called the effective distance in the process of this index calculation. First, the WSI is calculated for different distances, and then the most effective distance is chosen among the different distances. Thus, the WSI corresponding to this distance is determined as the WSI of the region. The current criterion for this purpose (correlation WSI with snow depth) was only usable in snowy places, because it requires measurements of snow depth in different points of the region. According to the wind shelter index usability in some phenomena that are not in snowy areas, the use of this index will be applied. In this study, conducted in the Samsami basin, a new index called “Virtual Wind Shelter index (VWSI)” is introduced that can be used to choose the effective distance of the area applicable in snowy and non-snowy places. It can be seen that using the proposed criterion to select the effective distance doesn’t need to measure snow depth, and this method can be used for non-snow areas. Using the proposed criterion, the WSI corresponding to the 100-meter distance was determined as the WSI of the study area, which was consistent with previous study that was determined by the criterion of correlation of WSI with snow depth in the basin. 

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[1] Daneshkar Arasteh P., Tajrishi M., Mirlotfi M., (2007). “Study of wind blow speed on Sistan's Nime well's reservoir's surface evaporation using the Daltonian method.” Sharif research Journal, No. 37, pp. 49-56.
[2] Sharifi M. (2007). “Study of spatial distribution Snow water equivalent using the combining methods.” Ph.D., dissertation, Shahid Chamran university of Ahvaz.
[3] Sharifi M., Akhond Ali A., Porhemat J., Mohamadi J., (2007). “Evaluation of two methods of linear correlation equation and the ordinary kriging in order to estimate the spatial distribution of snow depth in Samsami watershed basin.” Iran-Watershed Management Science and engineering research Journal. No.1, Vol.1.
[4] Abtew W., Iricanin N. (2008). “Hurricane Effects on South Florida Water Management System: A Case Study of Hurricane Wilma of October 2005.” Journal of Spatial Hydrology, Vol.8, No.1 Spring 2008.
[5] Chapman L. (2000). “Assessing topographic exposure.” Meteorol. Appl. 7, pp. 335–340
[6] Dozier J., Bruno J., Downey P. (1981). “A faster solution to the horizon problem.” Comput. Geosci., Vol. 7, pp. 145-151.
[7] Elder K. (1995). “Snow distribution in alpine watersheds.” Ph.D.dissertation, University of California, Santa Barbara, CA; 309 pp.
[8] Erickson T.A., Williams M.W., Winstral A. (2005). “Persistence of topographic controls on the spatial distribution of snow in rugged mountain, Colorado, United States.” Water Resources Research 41, pp. 1-17.
[9] Fohn P.M.B. (1980). “Snow transport over mountain crests.” Journal of Glaciology, Vol. 29, No. 94, pp. 469-480.
[10] Gray D.M., Male D.H. (1981). “Handbook of snow.” Pergamon: New York.
[11] Litaor M.I., Williams M., Seastedt T.R, (2008). “Topographic controls on snow distribution, soil moisture, and species diversity of herbaceous alpine vegetation, Niwot Ridge, Colorado” Journal of Geophysical Research, VOL. 113, G02008, doi: 10.1029/2007JG000419,
[12] Marofi S., Tabari H., Zare Abyaneh H. (2011) “Predicting Spatial Distribution of Snow Water Equivalent Using Multivariate Non-linear Regression and Computational Intelligence Methods.” Water Resources Management, Online publication date: 12-Jan-2011.
[13] Molotch N.P., Colee M.T., Bales R.C., Dozier J. (2005). “Estimating the spatial distribution of snow water equivalent in an alpine basin using binary regression tree models: the impact of digital elevation data independent variable selection.” Hydrological Processes, 19, pp. 1459-1479.
[14] Molotch N.P., Roger C., Bales R.C. (2006). “SNOTEL re presentativeness in the RioGrande headwaters on the basis of physiographics and re motely sensed snow cover persistence.” Hydrological Processes 20 , pp. 723–739.
[15] Schmidt R.A. (1982). “Properties of blowing snow.” Rev. Geophys. Space Phys., 20, pp. 39–44.
[16] Wang Z., Bowles D. (2007). “Overtopping breaches for a long dam estimated using a three-dimensional model.” 26th Annual United States Society on Dams Conference, San Antonio, Texas, USA, 1-5th May 2006, 2006b.
[17] Winstral A., Elder K., Davis R.E. (2002). “Spatial Snow Modeling of Wind-Redistributed Snow Using Terrain Based Parameters.” Journal of Hydrometeorology, Vol. 3, pp. 524-538.
[18] Winstral A., Marks D. (2002). “Simulation wind fields and snow redistribution using terrain-based parameters to model snow accumulation and melt over a semi-arid mountain catchment.” Hydrological Processes, Vol. 16, pp. 3585-3603.
[19] Winstral A., Marks D., Gurney R. (2009). “An efficient method for distributing wind speeds over heterogeneous terrain.” Hydrological Processes: 23, 2526–2535.