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2 2024

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Hydrological Study and Hydraulic Modeling of Flood Risk in the Watershed of the Oued Lahdar (Upper Inaouene, Morocco)

Fattasse Hamid, Gartet Jaouad, Laaraj Marouane, Makhchane Mohamed, Lahrichi Kamal, Okacha Abdelmonaim

Ecological Engineering & Environmental Technology

2024

Vol. 25, iss. 7

274--290

The floods of the Lahdar River cause repeated inundations and damage to road infrastructures, particularly crossing structures in the territorial center of Had Msila. Our study involved the application of various methods to estimate flood flows for different return periods along the Lahdar River. The selected flows were chosen after a comparative analysis of values calculated by the different methods used. These results served as the basis for hydraulic modeling aimed at assessing water levels to establish risk zone mapping. This step is crucial in flood risk assessment. Two main approaches were distinguished: hydrometeorological methods, based on regional parameters derived from rainfall data, and empirical methods, used in the absence or with limited data on flood flows in a given region. Hydraulic modeling was carried out using two software programs: a Geographic Information System (GIS) such as Arc-GIS, and a specific river modeling software like Hec-Ras, allowing for the numerical representation of the natural state of the territory. The results obtained serve as the foundation for all river hydraulic modeling, thereby facilitating flood prediction and hydrological risk management in floodplains. Modeling Lahdar River floods in the studied sections enables the prediction of flood risk and its impacts on constructions and infrastructure in the Had Msila Center.

Assessing Hydrological Drought in the Nekor Watershed Using the Streamflow Drought Index: Patterns, Trends, and Implications

Okacha Abdelmonaim, Salhi Adil, Abdelrahman Kamal, Lahrichi Kamal, Fattasse Hamid, Bouchouou Mounir, Mondal Biraj Kanti

Ecological Engineering & Environmental Technology

2024

Vol. 25, iss. 9

251--267

The Nekor Watershed, situated in the northwest corner of Africa, experiences significant climatic variability, posing challenges for water management. This study assesses hydrological drought in the Nekor Watershed from 1945 to 2016 and analyzes its socio-economic impacts on agriculture and population distribution. The purpose of this research is to understand the extent and trends of hydrological drought in the Nekor Watershed and its socio-economic consequences, particularly on agriculture and population dynamics. The study employs the Standardized Runoff Efficiency Index (SDI), drought duration, severity (S), magnitude (M), and relative frequency (RF) metrics, along with the Mann-Kendall trend test and Sen’s Slope analysis to evaluate hydrological drought. It integrates statistically representative data on cereal crop yields, livestock populations, and results from the General Population and Housing Census to understand the socioeconomic impacts. Analysis reveals substantial climatic variability with pronounced dry and wet periods. Notably, the autumn season exhibits a weak positive trend in hydrological drought, indicating a slight increase in severity over the years. Conversely, the spring season shows a negative trend in hydrological drought, indicating a decrease in severity over the years, especially in the month of May. A broader trend towards increasing hydrological drought emerges, particularly since the 1980s. These dry decades pose significant challenges for the region’s socio-economic sectors, including agriculture and population distribution. The study is limited by the availability and quality of historical hydrological and socioeconomic data, which may affect the precision of trend analyses and impact assessments. Future research could benefit from more granular and continuous data sets. Understanding the trends and impacts of hydrological drought in the Nekor Watershed provides critical insights for water management policies and strategies, helping to mitigate socio-economic risks associated with drought. This study is novel in its comprehensive analysis of long-term hydrological drought trends in the Nekor Watershed and their socio-economic impacts. The integration of diverse data sets and advanced statistical methods enhances the robustness of the findings, contributing significantly to the scientific understanding of drought dynamics in this region.