ANALYSING TIME SERIES OF STANDARDIZED PRECIPITATION INDEX (SPI)
نویسندگان
چکیده
منابع مشابه
Correlation Analysis and Analysis of Drought Time Series Based on Modis Satellite Images and Standardized Precipitation Climatic Index (SPI) on the eastern slope of Zagros
Introduction Drought is one of the environmental disasters that is very frequent in arid and semi-arid regions of the country. Rainfall defects have different effects on groundwater, soil moisture, and river flow. Meteorological drought indices are calculated directly from meteorological data such as rainfall and will not be useful in monitoring drought if the data are missing. Therefore remot...
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The primary objective of the present study is the investigation of the various properties of Iran’s local and regional droughts based on the theory of runs and standardized precipitation index (SPI). Thus, in order to accomplish this goal, the annual precipitation data of 63 synoptic stations were procured from Iran’s meteorological organization for a 30-year period (1986-2015).. First, based o...
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The Standardized Precipitation Index (SPI) is the most common index for drought monitoring. Although the calculation of this index is usually done by using the gamma distribution fitting of precipitation data, studies have shown that for accurate monitoring of drought, the optimal distribution of precipitation in each month should be determined. On the other hand, in non-stationary time series,...
متن کاملGIS analysis for vulnerability assessment of drought in Khuzestan province in Iran using standardized precipitation index (SPI)
The Standardized Precipitation Index (SPI) is a widely used drought index to provide good estimations of the intensity, magnitude and spatial extent of droughts. The objective of this study was to analyze the spatial pattern of drought by SPI index. In this paper, patterns of drought hazard in Khuzestan are evaluated according to the data of 17 weather stations during data recording. The influe...
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ژورنال
عنوان ژورنال: Успехи современного естествознания (Advances in Current Natural Sciences)
سال: 2021
ISSN: 1681-7494
DOI: 10.17513/use.37630