Regional approach for the analysis of annual maximum daily precipitation in northern Morocco
Mohammed Moujahid, Laila Stour, Ali Agoumi, Amina Saidi
Abstract
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Mohammed Moujahid, Laila Stour, Ali Agoumi, Amina Saidi
Abstract
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Information on extreme rainfall frequencies is required for Urban Drainage (UD) networks design. In this paper, the Regional Frequency Analysis (RFA), based on the L-moments, is used to: (i) analyze the trend of Annual Maximum Precipitation (AMP) over two analysis periods (1970–1989 and 1990–2015), (ii) estimate the regional Intensity-Duration-Frequency (IDF) curves of northern Morocco and (iii) assess the impact of the changes in rainfall intensities on the UD networks design during analysis periods. In reference to Hosking & Wallis (1997) and Alila, (1999), the Generalized Extreme Value (GEV) distribution has been used as a regional distribution to estimate regional quantiles for the analysis periods (1970–1999 and 1990–2015). The results show an increase up to 9% for quantiles used in UD networks design.
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Information on extreme rainfall frequencies is required for Urban Drainage (UD) networks design. In this paper, the Regional Frequency Analysis (RFA), based on the L-moments, is used to: (i) analyze the trend of Annual Maximum Precipitation (AMP) over two analysis periods (1970–1989 and 1990–2015), (ii) estimate the regional Intensity-Duration-Frequency (IDF) curves of northern Morocco and (iii) assess the impact of the changes in rainfall intensities on the UD networks design during analysis periods. In reference to Hosking & Wallis (1997) and Alila, (1999), the Generalized Extreme Value (GEV) distribution has been used as a regional distribution to estimate regional quantiles for the analysis periods (1970–1999 and 1990–2015). The results show an increase up to 9% for quantiles used in UD networks design.
Key concepts: Quantile, Precipitation, Generalized extreme value distribution, Frequency analysis, Return period, Environmental science, Climatology, Extreme value theory