Based on the daily precipitation data of Kunming from 1965 to 2016, the index of the long-term drought-flood abrupt alternations index (LDFAI) in flood season (from May to October), short-term drought-flood abrupt alternations index (SDFAI) and the intensity of drought-flood abrupt alternations are calculated in this study.The characteristics of the drought-flood abrupt alternations in Kunming, and the correlation between the characteristics of drought-flood abrupt alternations and urbanization are analyzed by using the methods which include the wavelet analysis, Mann-Kendall (M-K) mutation test, grey correlation degree and other methods.The results indicate that the LDFAI shows the declining trend (-0.066 per 10 years) from 1965 to 2016, which means the decrement of drought-to-flood events but the increasement of flood-to-drought events in Kunming.Besides, LDFAI shows two mutation points in Kunming, but they are not significant.There is an 18-year main period of LDFAI in Kunming.On the other hand, according to the results of SDFAI, there is an increasement of drought-to-flood events, but a decrement of flood-to-drought events from May to July and from August to September.However, the opposite results are appeared from July to August and from September to October in Kunming.According to the correlation between the drought-flood abrupt alternations and urbanization, the six factors of urbanization index have effect of varying degrees on the drought-flood abrupt alternations at the resolution ratio of 0.5, All the correlation degree indexes are above 0.6, the urbanization index is significantly related to the drought-flood abrupt alternation.The most significant factors are smoke and dust emission, while the least important one is the total output value of non-agricultural economy, and their correlation coefficients are 0.909 and 0.630 respectively.
Ping HE
,
Pan WANG
,
Jinxiao LI
,
Shuhua LIU
. The Research on Characteristics of Dry-Wet Abrupt Alternation and the Response with Urbanization in Kunming of Yunnan Plateau[J]. Plateau Meteorology, 2021
, 40(2)
: 272
-280
.
DOI: 10.7522/j.issn.1000-0534.2020.00018
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