Yazar "Hasbaia, Mahmoud" seçeneğine göre listele

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    Monthly extreme rainfall risk envelope graph method development and application in Algeria
    (IWA Publishing, 2021) Zeroual, Sara; Şen, Zekai; Boutaghane, Hamouda; Hasbaia, Mahmoud
    Rainfall patterns are bound to change as a result of global warming and climate change impacts. Rainfall events are dependent on geographic location, geomorphology, coastal area closeness and general circulation air movements. Accordingly, there are increases and decreases at different meteorology station time-series records leading to extreme events such as droughts and floods. This paper suggests a methodology in terms of envelope curves for monthly extreme rainfall event occurrences at a set of risk levels or return periods that may trigger the extreme occurrences at meteorology station catchments. Generally, in many regions, individual storm rainfall records are not available for intensity-duration-frequency (IDF) curve construction. The main purpose of this paper is, in the absence of individual storm rainfall records, to suggest monthly envelope curves, which provide a relationship between return period and monthly extreme rainfall values. The first step is to identify each monthly extreme rainfall records probability distribution function (PDF) for risk level and return period calculations. Subsequently, the return period rainfall amount relationships are presented on double-logarithmic graphs with the best power model as a set of envelope curves. The applications of these methodologies are implemented for three Hodna drainage basin meteorology station rainfall records in northern Algeria. It is concluded that the most extreme rainfall risk months are June, August and September, which may lead to floods or flash floods in the study area. A new concept is presented for the possible extreme value triggering months through the envelope curves as 'low', 'medium' and 'high' class potentials.
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    Peak flow assessment of El-Ham wadi in Hodna basin case study
    (Springer Heidelberg, 2022) Belazreg, Nour El Houda; Hasbaia, Mahmoud; Şen, Zekai; Ferhati, Ahmed
    Wadis of Algeria are subjected to a very irregular hydrological regime. The present study attempts to assess the peak flows in El-Ham wadi study area in the Hodna basin of Algeria by applying empirical (Giandotti, Possenti, Turazza, and Temez) and statistical techniques (Gradex). These methods are the most suitable for El-Ham valley due to the availability and accessibility of precipitation data. The annual maximum daily precipitation (Pmax,d) records are chosen for the applications. This leads, firstly, the estimation of the concentration time T-c using ANRH-Sogreah, Basso, and Giandotti formulas. The results can provide us with many insights. One can easily observe the rise in flood discharges over the different chosen return periods (10-year, 20-year, 50-year, 100-year, and 1000-year). The estimated concentration period equals to 21.5 h. The short-term precipitations at stations 050101, 050301, and 050703 are 91.2 mm, 121.7 mm, and 51.2 mm, respectively, for a 100-year return period. Centennial return period density shows high values at stations 050301 (5.67 mm/h), 2.43 mm/h at station 050703, and 4.25 mm/h at station F050101. Empirical analysis of flood discharges still repeats the same observations regarding flows with return periods with different flow rates (5581.86 m(3)/s for a 100-year, also shown at Ain El Hadjel station). One should point out that these outcomes enhance the future research in the Hodna study area, particularly in study of flash floods which implies the knowledge of peak flow of several return periods.
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    Probable maximum precipitation (PMP) and flood (PMF) risk charts in Hodna basin, Algeria
    (Springer Wien, 2022) Zeroual, Sara; Şen, Zekai; Boutaghane, Hamouda; Hasbaia, Mahmoud; Zeroual, Ayoub
    Flood magnitude, frequency and intensity are bound to increase in many parts of the world due to global warming and its consequent effect as climate change impacts. The main purpose of this paper is to apply the classical probable maximum precipitation and probable maximum flood methodologies leading to a new concept of risk level charts, which provide hydrograph time to peak probable maximum discharge after the beginning of precipitation, base time and peak discharge values. Dimensionless hydrograph methodology is employed for flood hydrograph analysis. The applications of probable maximum precipitation and probable maximum flood methodologies are presented for Algerian meteorology stations' annual maximum daily precipitation amounts from 23 different locations at Hodna drainage basin in the north-eastern of Algeria. Classical probable maximum precipitation frequency factor is obtained for each meteorology station record, which are then converted to pointwise probable maximum flood amounts that are helpful to construct practically applicable flood charts. A new relationship is provided between probable maximum precipitation and the frequency factor for the study area. The efficiency factor is calculated for each station to understand whether there is a further possibility for extreme precipitation, and consequent flood occurrences.