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Development of an annual drought classification system based on drought severity indexes

机译：基于干旱严重程度指数的年干旱灾分类系统的开发

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In order to characterize the occurrence and intensity of droughts in the Doce River Basin, as well as to develop a system for its classification, four different drought indexes were evaluated: Percent of Normal Precipitation (PNP), Deciles Method (DM), Rainfall Anomaly Index (RAI) and Standardized Precipitation Index (SPI). The indices were calculated annually, based on precipitation data from 89 rainfall stations of the Brazilian National Water Agency (ANA). Nine analysis units (AUs) were determined in the basin and the Thiessen Polygons method was used to obtain the average precipitation in the respective drainage areas. The indices were calculated for each AU and then related to the drought intensity classes. An overall classification of the indices was proposed for the drought classification system for a 30-year base period, from 1985 to 2015. The most critical hydrological years of the Doce River Basin in relation to the drought were 1994/1995, 2000/2001 and 2014/2015, the latter being the most critical of the last 30 years. The results show that the annual drought classification system proved to be efficient in the identification of events, allowing to verify that the Doce River Basin presents a severe climatic drought condition, on average, every seven years.
机译：为了表征Doce River盆地干旱的发生和强度，以及为其分类开发系统，评估了四种不同的干旱指标：正常沉淀（PNP）的百分比，减少法，降雨异常（DM），降雨异常指数（RAI）和标准化降水指数（SPI）。每年计算指数，基于巴西国家水机构（ANA）的89个降雨站的降水数据计算。在盆地中测定九个分析单元（AUS），并且使用硫豆多边形方法在各个引流区域中获得平均沉淀。每个AU计算指数，然后与干旱强度等级相关。为期30年至2015年，为30年至2015年的干旱分类制度提出了一整体分类。 2014/2015，后者是过去30年来最关键的。结果表明，每年的干旱分类系统证明在识别事件方面有效，允许验证Doce River盆地是否每七年呈现出严重的气候干旱状况。

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