The Prediction Probability of Repeated Drought Periods and Effects on Vegetation in Golestan Province
Author(s):
Abstract:
In this study, using Gorgan station data for the period 2010-1980 was studied precipitation trends. In order to extract precipitation trend the moving average and Mann-Kendall test was used. Also, using by SPI (standard precipitation index) drought period and by Markov chain probability event each of the different states drought or wet period was calculated. Then, using NOAA-AVHRR images fluctuations vegetation affected by the precipitation trend and by Markov chain probabilities alternation for each class were examined. Results showed has occurred in 2001-2007 and 1990-1994 Years wet period and in 1982-1986 and 2005-2010 drought period. Study of drought index showed precipitation trend in same period and has occurred wet period in 2001-2005 and drought period from 2005. According to Markov Probabilistic matrix probability alternation from severe drought to same is 0.6 and severe drought to moderate drought is 0.13. In same trend, have decrease semi-dense vegetation from with 494479 hectares in 1985 to less than 380,120 hectares in 2000. Density and area of Vegetation have increased from 2000-2005, but for the reason of drought decrease recently and with 0.48 probabilities will remain non vegetation class in same conditions. The most probability changing is related to sparse vegetation to non-vegetation with 0.41. On this basis, may be will changed 214060 hectares to non-vegetation.
Keywords:
Mann-Kendall , Markov chains , NDVI , Drought , Golestan
Language:
Persian
Published:
Journal of Geography and Planning, Volume:21 Issue: 60, 2017
Pages:
179 to 196
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