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Identifying hydro-meteorological events from precipitation extremes indices and other sources over northern Namibia Cuvelai Basin

机译:通过极端降水指数和其他来源识别纳米比亚北部库韦莱盆地的水文气象事件

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摘要

Worldwide, more than 40% of all natural hazards and about half of all deaths are the result of flood disasters. In northern Namibia flood disasters have increased dramatically over the past half-century, along with associated economic losses and fatalities. There is a growing concern to identify these extreme precipitation events that result in many hydro-meteorological disasters. This study presents an up to date and broad analysis of the trends of hydro-meteorological events using extreme daily precipitation indices, daily precipitation data from the Grootfontein rainfall station (1917–present), regionally averaged climatologies from the gauged gridded Climate Research Unit (CRU) product, archived disasters by global disaster databases, published disaster events in literature as well as events listed by Mendelsohn, Jarvis and Robertson (2013) for the data-sparse Cuvelai river basin (CRB). The listed events that have many missing data gaps were used to reference and validate results obtained from other sources in this study. A suite of ten climate change extreme precipitation indices derived from daily precipitation data (Grootfontein rainfall station), were calculated and analysed. The results in this study highlighted years that had major hydro-meteorological events during periods where no data are available. Furthermore, the results underlined decrease in both the annual precipitation as well as the annual total wet days of precipitation, whilst it found increases in the longest annual dry spell indicating more extreme dry seasons. These findings can help to improve flood risk management policies by providing timely information on historic hydro-meteorological hazard events that are essential for early warning and forecasting.
机译:在世界范围内,超过40%的自然灾害和大约一半的死亡是洪水灾害的结果。在过去的半个世纪中,纳米比亚北部的洪水灾害以及相关的经济损失和死亡人数急剧增加。人们越来越关注确定导致许多水文气象灾害的这些极端降水事件。这项研究使用极端的每日降水指数,格鲁特方丹降雨站(1917年至今)的每日降水数据,可测量的网格化气候研究单位(CRU)的区域平均气候,对水文气象事件的趋势进行了最新的广泛分析。 )产品,由全球灾难数据库存档的灾难,以文献形式发布灾难事件,以及Mendelsohn,Jarvis和Robertson(2013)列出的针对数据稀疏的库维莱流域(CRB)的事件。所列出的事件缺少许多数据缺口,被用来参考和验证从本研究中的其他来源获得的结果。计算并分析了从每日降水量数据(格鲁特方丹雨量站)得出的一套十个气候变化极端降水指数。这项研究的结果强调了在没有可用数据的时期内发生重大水文气象事件的年份。此外,结果强调了年降水量和年降水总湿天数的减少,而发现最长的年度干旱期增加,表明更极端的干旱季节。这些发现可通过提供有关历史水文气象灾害事件的及时信息来帮助改进洪水风险管理政策,这对于早期预警和预测至关重要。

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