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Spatiotemporal characteristics of droughts and floods in northeastern China and their impacts on agriculture

机译:东北地区旱涝时空特征及其对农业的影响

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Heilongjiang Province is a major grain production base in China, and its agricultural development plays an important role in China's social economy. Drought and flood events are the primary disasters in Heilongjiang Province and have considerable impacts on agriculture. In this study, relatively complete monthly precipitation data from 26 meteorological stations in Heilongjiang Province during the period of 1958-2013 were analyzed using the standardized precipitation index (SPI) combined with principal component analysis, Mann-Kendall trend analysis and Morlet wavelet analysis to determine the spatial and temporal distributions of drought and flood events in this province. The results were as follows: (1) the whole of Heilongjiang exhibited an aridity trend. In northern Heilongjiang, spring and summer experienced a wetting trend, and autumn and winter experienced an aridity trend. (2) The SPI3 exhibited 8- and 16-year periodic variation characteristics in spring, 10- and 22-year periodic variation characteristics in summer, and 10- and 32-year periodic variation characteristics in autumn. In addition to the 10-year periodic variation characteristics in winter, other periodic variation characteristics were observed. (3) The increasing trend in the percentage of stations affected by flood was more obvious than that affected by drought. Therefore, Heilongjiang Province is more vulnerable to flooding. (4) The influence of drought and flood disasters in Heilongjiang Province showed a growth trend, but the flood effect was more remarkable. (5) The agricultural area affected by drought and flood disasters in Heilongjiang Province showed an increasing trend. Although there was a greater increase in flood disaster area, the main types of disasters were drought-dominated.
机译:黑龙江省是中国重要的粮食生产基地,其农业发展在中国社会经济中发挥着重要作用。干旱和洪水事件是黑龙江省的主要灾害,对农业产生了重大影响。在这项研究中,使用标准化降水指数(SPI)结合主成分分析,Mann-Kendall趋势分析和Morlet小波分析,分析了1958-2013年黑龙江省26个气象站的相对完整的月降水量数据,以确定该省干旱和洪水事件的时空分布。结果如下:(1)黑龙江省整体呈现干旱趋势。在黑龙江北部,春夏经历了湿润趋势,秋冬经历了干旱趋势。 (2)SPI3在春季表现出8年和16年的周期性变化特征,在夏季表现出10年和22年的周期性变化特征,而在秋季表现出10年和32年的周期性变化特征。除了冬季的10年周期性变化特征外,还观察到其他周期性变化特征。 (3)受洪水影响的台站百分比的增长趋势比受干旱影响的台站的增长趋势更为明显。因此,黑龙江省更容易遭受洪灾。 (4)黑龙江省旱涝灾害影响呈增长趋势,但洪灾影响更为明显。 (5)黑龙江省受旱涝灾害影响的农业面积呈增加趋势。尽管洪灾灾区增加更多,但主要灾害类型是干旱为主。

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