The Distribution of Precipitation in the Qilian Mountains
Chuancheng Zhao
1,2
and Shuxia Yao
1, *
1
Lanzhou City University, Lanzhou 730070, China;
2
State Key Laboratory of Cryospheric Science, Cold and Arid Regions of Environmental and Engineering Research
Institute, Chinese Academy of Sciences, 320 Donggang West Road, Lanzhou 730000, China.
Email:yaoshuxia@163.com
Keywords: Precipitation, spatiotemporal distribution, topography, Qilian Mountains
Abstract: Precipitation in the mountains plays a significant role in providing water for the sustainable development of
oasis cities downstream. The precipitation data of 49 national meteorological stations that surround the
Qilian Mountains were analysed during the period from 1980 to 2013. The results show that the
precipitation is affected not only by the source of water vapour, but also by the topography. The distribution
of mean annual precipitation decreased from southeast to northwest. The value of precipitation is high
around Qinghai Lake. Considering the seasonal distribution, the summer precipitation accounts for above
half of annual precipitation, whereas the winter precipitation accounts for below 10% of annual precipitation.
1 INTRODUCTION
Precipitation is a critical component of the global
water cycle frequently influencing the availability of
water resoureces (Ngongondo C S 2006;
Michaelides S et al., 2009). Understanding its
spatiotemporal distribution at various scales is an
important step toward a better recognizing the
hydrological cycle and associated phenomena such
as drought and flood. Such information may be
finally used to address current climate variations and
future climate change to dryland agriculturalists and
policymakers (Crochet et al., 2007, Batisani et al.,
2010; Westerberg et al., 2010). Generally, the
precipitation data has been obtained by in situ
observation, remote sensing and numerical
modelling (Michaelides S et al., 2009). Although
remote sensing and numerical modelling have
proved the spatially complete coverage resolution,
such approaches are subjected to different types of
errors such as inherent measurement, retrieval errors,
and sampling uncertainty. Meanwhile, the accuracy
of remote sensing and numerical modelling need to
be calibrated or verified using the ground
measurement (New et al., 2001; Xie et al., 2003).
The precipitation data from rain gauge measurement
is considered to be the most accurate even though
they suffered from different types of errors such as
sampling, inherent measurement, and uncertainty in
sub-catchment (Chen et al., 1997).
Mountains exert a major role in maintaining the
water supply for ecological environment and the
sustainable development of oasis cities downstream,
as they are the main contributor to runoff (De et al.,
2009; López-Moreno et al., 2011). Due to the
complex terrain, the distribution pattern of
precipitation is frequently linked to the
morphological parameters such as altitude and
airflow direction in mountain regions (Daly et al.,
2002; Sinclair 2010). Furthermore, used
meteorological stations are sparsely distributed and
most of them are located in foothill regions.
Therefore, the precipitation pattern is hardly
discernible in the summit area. Investigation of
spatiotemporal distribution of precipitation makes it
very challenging for hydrological cycle and climate
change in mountains regions.
The aim of this study is to clarify the
spatiotemporal distribution of precipitation in the
Qilian Mountains during the period 1980-2013 using
the data from 49 meteorological stations. We
analyze (i) the annual and seasonal distribution of
precipitation and (ii) the relationship between
precipitation and topography in mountain regions.