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Multi-factor joint return period of rainstorms and its agricultural risk analysis in Liaoning Province, China

机译:中国辽宁省农业风险及农业风险分析的多因素联合返回期

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Rainstorms are one of the frequent natural disasters which have significant impact on agricultural production and people’s lives. Considering the comprehensive influence of various factors on the rainstorm events, this study extracts four elements of rainstorms in the Liaoning Province based on meteorological data collected between 1957 and 2015. Combined four elements of rainstorms by copula function, the cumulative probability of the rainstorm events and the probability of their return period can be analysed. The results show that the joint return period of multiple factors combination is less than the return period of a single factor. The degree of accuracy of the joint return period is higher, which is consistent with the actual situation. During periods of 5, 10, 20, and 50?years, the occurrence probability varies according to the idea ‘the central region is higher, while the eastern and western regions are lower’. Special attention must be paid to the low values of the region in future rainstorm disaster prevention and mitigation work. Based on return periods, the agricultural risk grade can be divided into 5 levels. In ascending order, they are level I (Fuxin, Shenyang, Tieling), II (Dalian, Jinzhou, Panjin, Liaoyang), III (Huludao, Fushun), IV (Chaoyang, Yingkou, Anshan, Benxi), and V (Dandong).
机译:暴雨是对农业生产和人民生活产生重大影响的频繁的自然灾害之一。考虑到各种因素对暴雨事件的综合影响,本研究提取基于1957年至2015年间收集的气象数据的辽宁省暴雨的四个要素。通过Copula功能,暴雨事件的累积概率组合了四个暴雨的四个要素。可以分析其返回期的可能性。结果表明,多因素组合的联合返回期小于单个因素的返回期。联合返回期的准确性更高,这与实际情况一致。在5,10,20和50?年期间,发生概率根据“中央区域较高”的想法而变化,而东部和西部地区较低。在未来的暴雨防灾和缓解工作中必须特别注意该地区的低价。根据返回期,农业风险等级可分为5级。按照升序,它们是I级(阜新,沉阳,泰尔宁),II(大连,锦州,攀刚,辽阳),III(葫芦岛,抚顺),四(朝阳,纺厂,鞍山,Benxi)和V(丹东) 。

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