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“Young Scientist” . # 28 (370) . July 2021
Geography
2020). Consequently, the production and application of different 
data which the source are as satellites products (SPPs) has more 
recently seen an upward trend across many regions around the 
globe (Harris et al. 2014).
Water forecast method 1: snow cover against flow
The first method correlated mountain snow cover against 
river flow.
Snow data for the Panj Amu river basin was obtained from 
the ICIMOD for each 8-day period from 2000 to 2017. The data 
for Taloqan sub basin was clipped from the main Panj Amu river 
basin using ArcGIS. The number of pixels (500x500m) for the 
snow and non-snow areas for each 8 days was counted separately 
and exported to an Excel sheet, converted to km
2
and the average 
snow-covered area for each month determined.
Figure 2. 
Average of snow coverage area during the moths from 2010 to 2017
Monthly flow data for the years 2010 to 2018 for the Taloqan 
river at Chogha initially received from the Ministry of Energy 
and Water (MEW), which is taken from the Annual Year Books.
Correlation between snow cover and river flow based on 
examined the two data sets of snow cover and river flow, it was 
noted that the annual peaks of snow and flow are in February 
and June, respectively. Therefore, to get a good correlation, the 
data sets were aligned so that the peak of snow cover in February 
aligned with the annual flow peak in June; and the month of 
March aligned with July, etc. Table 1 presents the two monthly 
data sets before alignment. Table 2 is the data after alignment by 
adjusting the snow cover data forward by 4 months.
Table 1. 
Flow data of Chogha gauge station and snow covered area in Taloqan sub basin
Table 2. 
Flow data at Chogha and snow data for Taloqan Basin aligned by shifting four months

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