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Mapping without the sun
Zhang, Jixian

its margin area during 1990 to 2001 are selected from China
monthly average meteorological data in China. The average
annual temperature, highest annual temperature, lowest annual
temperature and annual precipitation indexes are calculated by
the 69 meteorological data.
3.1 Temperature data process
Considered the Vertical Lapse Effect of temperature, while
dealing with the temperature data, firstly each station
temperature data are rectified to the temperature at the sea level
(Vertical Lapse Rate of temperature r=0.65/100m). Secondly,
according to the Kriging Optimization Interpolation Method,
based on the 1,100m grid size, after annual spatial interpolation
to the every station meteorological data, the grid data of
temperature disposal at the sea level height in headstream
region of Yellow River is gained. Then referring to 1:250,000
DEM data of headstream region of Yellow River, temperature
disposal grid data gained above are rectified to the real height
above seal level and annual temperature spatial disposal data
from 1990 to 2001 in headstream region of Yellow River are
Average Annual Average Temperature
Average Annual Maximum Temperature
Average Annual Precipitation
Average Annual Minimum Temperature
Fig.2 Meteorologic Parameters Change of Headwater Region of Chinese Yellow River
3.2 Precipitation data process
Based on the series climate data of 67 meteorological
stations from 1990 to 2001,the spatial and temporal structure of
precipitation in Headwater Region of Chinese Yellow River
was analyzed by using Kriging method and 1100m grid size.
3.3 Statistical analysis of meteorological data
Distributive feature of space-time and change trend on air
temperature and precipitation in source region of the Yellow
River was analyzed using the data of air temperature and
precipitation in 1990-2001 in this region. The results are listed
in fig 2.
In fig.2, line A, B, C, D are the linear fitting of Average Annual
Average Temperature, Average Annual Maximum
Temperature, Average Annual Minimum Temperature, and
Average Annual Precipitation in ordinary. As showed in
graphs, maybe the change of temperature and precipitation are
different in each year. However during 1990-2001, in the
headstream region of Yellow River, the trend of precipitation
change is declining while the temperature is opposite. This is
coincident with the trend of the global climatic change which
indicates that the region is affected and controlled by the global
climatic change. In addition, Statistical Characteristics of
different meteorological index are different. (Tab.l, AAAT
refers to Average Annual Average Temperature; A AM- axT
refers to Average Annual Maximum Tern- perature; AAMinT
refers to Average Annual Minimum Temperature; AAAP refers
to Average Annual Precipitation ) The average annual
temperature change is light with trend of increase. The average
annual precipitation change is 30 mm.
Std. Deviation
Tab.l Statistics Characters of Meteorologic Parameters