基于CMIP5模式和MCI指数的西南地区未来干旱预测

Xiehui Li, Feiyang Mao, Lei Wang, Jingkun Yang
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摘要

在过去的50年里,中国西南地区遭受了频繁的严重干旱。计算气象干旱综合指数MCI,运行ArcGIS空间分析软件。比较了不同CMIP5模型的仿真性能。在此基础上,预测了2018-2058年和2059-2099年两个时间段(RCP4.5情景)的干旱时空分布。结果表明:(1)西南地区中度及以上干旱日数在两个时间段均呈增加趋势;2018 - 2099年高值区主要分布在川滇边境。年干旱日数普遍在150d以上。低值区主要分布在川东南部分地区、重庆和贵州大部分地区。年平均干旱日数普遍在100d以下;(2) P1阶段(2018—2058年)干旱严重程度空间分布与年平均中度及以上干旱日数空间分布基本一致。在P2阶段(2059 ~ 2099年),干旱严重程度高值区仍主要分布在川滇交界。低值区主要分布在重庆和贵州的大部分地区。随着时间的推移,干旱严重程度高值区扩大,干旱程度加重;(3) P1期干旱频率高值区主要分布在川滇交界。在这些地区,干旱频率在80%以上。干旱频率低值区主要分布在贵州西部和四川中东部部分地区。在这些地区,干旱频率低于20%。在P2期,干旱频率高值区主要分布在云南省和川西南地区。在这些地区,干旱频率在60%以上。干旱频率低值区主要分布在重庆和贵州北部。在这些地区,干旱频率低于20%。从P1期到P2期,干旱频率高值区扩大,干旱频率增加。干旱频率低值区面积缩小。干旱频率也有所下降。综上所述,2018 - 2099年西南地区干旱加剧,发生频率增加。研究结果对西南地区干旱预警与防治具有重要指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Future drought projection of Southwestern China based on CMIP5 model and MCI index
In the past 50 years, Southwestern China has suffered from frequent, intense droughts. MCI (meteorological drought composite index) was calculated, and ArcGIS Spatial Analyst was run in the present study. The simulation performance was compared between different CMIP5 models. Then we projected the temporal and spatial distributions of drought in the intermediate path (RCP4.5 scenario) in the two time periods (2018-2058 and 2059-2099) between 2018 and 2099. The results showed that (1) the number of days with moderate drought and above increased in Southwestern China in both two time periods. The high-value regions were mainly found at the borders between Sichuan and Yunnan Province from 2018 to 2099. The annual number of drought days was generally above 150d. The low-value regions were mainly found in some parts of southeastern Sichuan, Chongqing, and the large parts of Guizhou. The annual average number of drought days was generally below 100d; (2) At phase P1 (from 2018 to 2058), the projected spatial distribution of drought severity was generally consistent with that of the annual average number of days with moderate drought and above. At phase P2 (from 2059 to 2099), the high-value regions of drought severity were still primarily found at the borders between Sichuan and Yunnan Province. The low-value regions were mainly found in the large parts of Chongqing and Guizhou. As time progressed, the high-value regions of drought severity expanded, and the drought was aggravated; (3) At phase P1, the high-value regions of drought frequency were mainly found at the borders between Sichuan and Yunnan. In these regions, the drought frequency was above 80%. The low-value regions of drought frequency were mainly found in parts of western Guizhou and central and eastern Sichuan. In these regions, the drought frequency was below 20%. At phase P2, the high-value regions of drought frequency were generally found in Yunnan Province and southwestern Sichuan. In these regions, the drought frequency was above 60%. The low-value regions of drought frequency were mainly found in Chongqing and northern Guizhou. In these regions, the drought frequency was below 20%. From phase P1 to P2, the high-value regions of drought frequency expanded, and the drought frequency increased. The low-value regions of drought frequency shrank in size. The drought frequency also decreased. Taken together, the drought in Southwestern China was aggravated and occurred more frequently according to the projections from 2018 to 2099. Our research findings offered important guidance for drought early warning and prevention in Southwestern China.
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