Long term analyses of extreme daily precipitation in Tirana
Published on:
October 02, 2023
Abstract
Abstract: Flooding in urban areas is in general, a consequence of suddenly extreme precipitation causing a valuable impact in the financial and social life the urban residents. The extreme daily precipitation plays a notable role in the monthly and seasonal precipitation. Their frequency and severity influences the long term variation of the annual total precipitation. To estimate the variation and trend in a long term period of this phenomenon, some of the main precipitation indices need to be estimated and analysed in a multi-annual bases. There are many methods to classify a daily precipitation event as an intense, extreme or extraordinary phenomenon and objective methods may be the estimation of the daily precipitation that exceed a threshold value; the estimation of the maximum 1-day precipitation; the maximum of 5 consecutive precipitation days, etc. In this study, analyses of the annual total precipitation and annual maximum daily precipitation were performed to have their long term trends. In another step, analyses of the daily extreme precipitation inside the year were done in order to identify any shift of the daily maximum of the precipitation. All the performed analyses cover a 72-years period of daily precipitation data series with daily precipitation amounts > 1 mm for Tirana city, the capital of Albania. The annual maximum daily precipitation stands for the highest value of 24h precipitation of each year and the monthly maximum of daily precipitation accounts on the highest value of 24h precipitation of each month. All the data were used to analyse the long term trend of the annual total precipitation during the period of 1950 – 2021 for Tirana city. Statistical analysis were performed to estimate some of the main indices of the daily precipitation amounts in a multi-annual bases and the results may be used to develop better strategies on flood risk reduction. Keywords: daily precipitation, flooding, maximum precipitation, variation, precipitation trend
DOI: https://doi.org/10.22323/1.427.0183
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