基于SPI的金沙江下游气象干旱时空分布特征及预测方法

Spatial and Temporal Characteristics and Prediction Model of Meteorological Drought Based on Standardized Precipitation Index in the Lower Reaches of Jinsha River

  • 摘要: 基于金沙江下游地区30个气象观测站1960~2020年逐月降水数据,选用标准化降水指数(SPI)作为气象干旱指标,分析了该流域干旱在3个月和12个月时间尺度上的时空演变特征,并分别构建了流域南、北部旱涝的均生函数预测模型。结果表明:金沙江下游干旱主要表现为全域一致型和南北反相型两种模态。在3个月时间尺度上,干旱频次较高,范围较广,以轻旱为主;在12个月时间尺度上,干旱频次大幅降低,流域北部中旱及重旱的比例增加。年度干旱强度和范围均呈增加趋势。季节干旱强度除冬季为减弱趋势外,其他季节均呈增强趋势;秋季干旱范围表现为增加趋势,春季和冬季表现为减小趋势,夏季变化不明显。夏季干旱发生频次最高,且对年度干旱影响最大。均生函数预测模型可以较好地模拟和预测金沙江下游旱涝变化趋势,流域南部模拟效果优于北部,对极值的模拟效果更佳。

     

    Abstract: Based on the monthly precipitation data of 30 meteorological stations in the lower reaches of Jinsha River from 1960 to 2020, the standardized precipitation index (SPI) was selected as the meteorological drought index, and the spatial and temporal characteristics of drought in the basin were analyzed with 3 months and 12 months as time scales. Further, the prediction models of Mean Generation Function were established for drought of the south and north regions respectively. Results showed that :The first pattern of drought in the lower reaches of Jinsha River is the synchronous change of the whole region, and the second pattern is the opposite change in the north and south.The frequency of drought in the three-month time scale is high and the range is wide, mainly light drought. The drought frequency of 12-month time scale is lower than that of 3-month time scale, and the proportion of medium drought and severe drought in the north of the basin is higher than that of 3-month scale. The annual drought intensity and scope show an increasing trend. In addition to the weakening trend of drought intensity in winter, the other three seasons show an increasing trend. For the range of drought, it shows an expanding trend in autumn, a decreasing trend in spring and winter, and no obvious change in summer. Furthermore, the frequency of drought is the highest in summer, and it has the greatest impact on the annual drought. The prediction models of Mean Generation Function have some ability to predict drought, and the simulation effect of extreme values is better. Furthermore, the prediction model in the south of the basin has better simulation and prediction ability than that in the north.

     

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