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the data rate in the time series ignoring the value of the variables. Therefore, to
the mentioned reason, it can also be used for data with skidding. Meanwhile, it is
not required to data with special distribution form (Zhang et al., 2000).
Figure 4: Annual discharge time of the Galinak station (m3 / sec) for the water
years from 1961-1962 to 2012-2013
2.4 REMOTE SENSING:
The estimation of snow-covered surfaces, especially in mountainous areas,
involves sufficient information and statistics. Today, the use of remote sensing
and satellite images in determining the level of snow cover and the same
parameters has had a significant improvement. In order to specify the snow cover
level, firstly, eight days snow cover achieved by satellite data from 2000 to 2015
were received from NSIDC site in HDF format. And then the Mean snow level
was extracted for each month in the GIS environ. The specifications of these data
are shown in Table 4.
Table 4: Specifications and spatial accuracy of satellite data
Satellite
Sensor
Spatial
accuracy
(meter)
Time
accuracy
(Day)
Product
type
Data date
Terra
MADIS
500
8 Days
10A2
2000-2014 (January,
February, March)
3. RESULTS
3.1 RESULTS OF METEOROLOGICAL AND HYDROLOGIC VARIABLES
TREND TEST
632
Book of Full Papers
Symposium Hydro Engineering
- Title
- Book of Full Papers
- Subtitle
- Symposium Hydro Engineering
- Author
- Gerald Zenz
- Publisher
- Verlag der Technischen Universität Graz
- Location
- Graz
- Date
- 2018
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-85125-620-8
- Size
- 20.9 x 29.6 cm
- Pages
- 2724
- Keywords
- Hydro, Engineering, Climate Changes
- Categories
- International
- Naturwissenschaften Physik
- Technik