Drought index analytical method which was based on relative moisture index was used to study the temporal and spatial variation, abnormal distribution and sub-regional evolution characteristic of spring drought on Loess Plateau, according to meteorological data between 1961 and 2010. The results showed that, the intensity variation of spring drought on Loess Plateau from 1960 to 2010 had an obvious distribution characteristic that intensity is higher in central area and lower in surrounding area. Among which the increase of drought intensity in hinterland of central area has the highest rate of tendency, and then in rest places of central area. West and northeast region of the plateau have an attenuate tendency. The main spatial distribution mode of drought variation is the phase variation for spring drought, central abnormal areas located in north Shaanxi, east Gansu and southwest Ningxia. Secondly, opposed phase distribution model in east and west areas provide a reflection of characteristics of differences between east and west region of Loess Plateau, which was caused by the influence of atmosphere system. According to spatial abnormal distribution of different loading vectors and modes, spring drought can be divided into three sub-regional abnormal distributions, e.g. northwest kind, northeast kind and south kind. The intensity of spring drought in south sub-region has a significant increasing tendency, the mutation point of which from weak to strong appeared in 1977, drought intensity in northwest and northeast regions also showed a fluctuated increasing tendency, but no mutation was emerged since the fluctuation failed to pass the significance test. The index of spring drought in northwest and south regions has an obvious high frequency fluctuating period of 3~4 years, while northeast part has an obvious high frequency fluctuating period of 5~6 years.
YAO Yubi
,
WANG Jingsong
,
WANG Ying
,
YANG Jinhu
,
LI Jianfeng
,
LEI Jun
. Anomaly Temporal-Spatial Distribution of Spring Drought on Loess Plateau in China[J]. Plateau Meteorology, 2015
, 34(1)
: 30
-38
.
DOI: 10.7522/j.issn.1000-0534.2013.00179
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