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Trends in floods in West Africa: analysis based on 11 catchments in the region

机译:西非洪水趋势:基于该地区11个集水区的分析

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After the drought of the 1970s in West Africa, the variability in rainfall and land use changes mostly affected flow, and recently flooding has been said to be an increasingly common occurrence throughout the whole of West Africa. These changes have raised many questions about the impact of climate change on the flood regimes in West African countries. This paper investigates whether floods are becoming more frequent or more severe and to what extent climate patterns have been responsible for these changes. We analyzed the trends in the floods occurring in 11 catchments within West Africa's main climate zones. The methodology includes two methods for sampling flood events, namely the AM (annual maximum) method and the POT (peak over threshold), and two perspectives of analysis are presented: long-term analysis based on two long flood time series and a regional perspective involving 11 catchments with shorter series. The Mann-Kendall trend test and the Pettitt break test were used to detect nonstationarities in the time series. The trends detected in flood time series were compared to the rainfall index trends and vegetation indices using contingency tables in order to identify the main driver of change in flood magnitude and flood frequency. The relation between the flood index and the physiographic index was evaluated through a success criterion and the Cramer criterion calculated from the contingency tables.
机译:在1970年代西非的干旱之后,降雨和土地用途的变化主要影响流量。最近,整个西非发生洪灾的现象日益普遍。这些变化使人们对气候变化对西非国家洪水制度的影响提出了许多疑问。本文调查了洪水是越来越频繁还是更加严重,以及气候变化在多大程度上导致了这些变化。我们分析了西非主要气候区域内11个流域发生的洪水趋势。该方法包括两种洪水事件采样方法,即AM(年度最大值)方法和POT(峰值阈值),并提出了两种分析视角:基于两个较长洪水时间序列的长期分析和区域视角涉及11个较短系列的集水区。使用Mann-Kendall趋势检验和Pettitt断裂检验来检测时间序列中的非平稳性。使用列联表将洪水时间序列中检测到的趋势与降雨指数趋势和植被指数进行比较,以便确定洪水幅度和洪水频率变化的主要驱动因素。通过成功标准和从列联表中计算出的Cramer准则,评估了洪水指数与地貌指数之间的关系。

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