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Flash Flood Risk and Climate Analysis in the Extreme South of Algeria (the Case of In-Guezzam City)

Zegait Rachid, Pulido-Bosch Antonio, Hamadeha Bachir, Şen Zekai, Madi Housseyn

Geomatics and Environmental Engineering

2022

Vol. 16, no. 4

157--185

Natural risks, particularly flood risk, are a topical subject in Algeria and throughout the world, particularly given the last major catastrophic floods in Sudan (2020) and North Africa. With the development of the climate change phenomenon in the world, risk management is becoming increasingly necessary for all the actors concerned (decision-makers, technicians, and the population) to identify protection issues. In 2018, in the extreme south of Algeria, In-Guezzam City suffered a devastating flood that caused significant damage and loss of human and material resources. More than 100 homes collapsed, and approximately 345 families were displaced. Currently, there is no research work to assess the hydrological situation and the risk of flooding in this region. Therefore, the main purpose of this study is to shed light on the risk of flash floods in the extreme south of Algeria with more specific attention to the August 2018 floods as well as the climate trends over the past 30 years using Mann–Kendall test and Sen’s Slope Estimator. The chosen approach involves a hydrological study and hydrodynamic modeling using HEC-RAS software. This latter allows for simulating floods using statistical methods and creating several regional flood hazard maps.

Climate change impacts on sea surface temperature (SST) trend around Turkey seashores

Dabanli Ismail, Şişman Eyüp, Güçlü Yavuz Selim, Birpınar Mehmet Emin, Şen Zekai

Acta Geophysica

2021

Vol. 69, no. 1

295--305

This paper focuses on sea surface temperature (SST) trends due to the importance of temperature diference in climate change impact research. These trends are not only essential for climate, but they are also important for marine ecosystem. Immigration of fsh population due to the temperature changes is expected to cause unexpected economical results. For this purpose, both classical Mann–Kendall, (MK) (Mann in Econom: J Econom Soc 13:245–259, 1945; Kendall in Rank Correlation Methods, Charless Grifn, London, 1975) and innovative trend analysis (ITA) (Şen in J Hydrol Eng 17(9):1042–1046, 2012) methodologies are applied for the SST data records. Monthly SST data are considered along the Black, Marmara, Aegean, and Mediterranean coastal areas in Turkey. SST data are categorized into fve clusters considering fsh life as “hot,” “warm-hot,” “warm,” “cold,” and “very cold.” According to ITA, SST in all coastal areas tends to increase except for winter season during “very cold” (0–10 °C) temperatures. The temperature changes in both winter and summer seasons are expected to change the marine life, fsh population, tourism habit, precipitation regime, and drought feature.