Spatio-temporal analysis of trends and variability in precipitation across Morocco: Comparative analysis of recent and old non-parametric methods

Bouizrou, Ismail; Aqnouy, Mourad; Bouadila, Abdelmounim

doi:10.1016/j.jafrearsci.2022.104691

Cited by 18 publications

(12 citation statements)

References 79 publications

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“…The results of the four tests are in perfect agreement with works in the South Mediterranean and North African zone as already mentioned by Bouizrou et al (2022) in Morocco, Merzougui and Zghibi (2020), Dhiba et al (2017) in Tunisia, Blanchet et al (2021) in France and Brugnara & Maugeri (2019) in Italy.…”

Section: Resultssupporting

confidence: 90%

“…In the South of France, Blanchet et al (2021) detected an increasing trend of extreme rainfall. In the North Africa, similar work has shown the same result, in Morocco (Bouizrou et al, 2022;Salhi et al, 2019), in Algeria (Benzater et al, 2019;Benzater, Elouissi, Dabanli, Benaricha et al, 2021;Chahraoui et al, 2021) and in Tunisia (Dhiba et al, 2017;Merzougui & Zghibi, 2020). It is evident that this work is perfectly consistent at the Mediterranean basin and regional scale with the positive trends in annual maximum daily rainfall in the northern Italian Alps (Brugnara & Maugeri, 2019).…”

Section: Introductionsupporting

confidence: 78%

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Spatio‐temporal analysis of trends in annual maximum rainfall in the North‐West of Algeria: Comparative analysis of recent and old non‐parametric methods

Benzater,

Elouissi,

Fellah

et al. 2023

Water & Environment J

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This article examines the spatial variability of extreme precipitation trends in northwestern Algeria (Macta) and compares the results obtained from the four recent and old non‐parametric methods. A dataset of annual maximum precipitation consisting of 41 observation years (1970–2010) and 41 rain gauges was used. The results of the four old and new methods used to detect trends, Mann–Kendall (MK), Bravais–Pearson (BP), Spearman (SR) and innovative trend analysis (ITA), show good agreement. They revealed that a decrease in the trend of annual maximum precipitation was detected during the first period (1970–1992) with −44% (MK), −61% (BP), −68% (SR) and −76% (ITA). On the other hand, in the second period (1993–2010), a total shift occurred in which a significant increase in annual maximum precipitation trends was observed with +63% (BP), +34% (MK and SR) and +93% (ITA). These results show the ability of ITA to detect partial trends that the other three tests do not allow. Our results allow decision‐makers to properly design adaptation strategies in the face of the intensification of these extreme events.

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Section: Resultssupporting

confidence: 90%

Section: Introductionsupporting

confidence: 78%

Spatio‐temporal analysis of trends in annual maximum rainfall in the North‐West of Algeria: Comparative analysis of recent and old non‐parametric methods

Benzater,

Elouissi,

Fellah

et al. 2023

Water & Environment J

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“…The climate of the Nekkor watershed is characterized by irregular rainfall, as well as a significant evapotranspiration potential. The average annual precipitation ranges from 286.4 mm to 311.5 mm among the different stations contained in the basin, but the average interannual rainfall of the basin is estimated to be 340 mm [ 41 ]. The temperature averages show generally strong variations owing to remarkable seasonal variations, with an extremely cold winter and an extremely hot summer.…”

Section: Study Areamentioning

confidence: 99%

Pollution Vulnerability of the Ghiss Nekkor Alluvial Aquifer in Al-Hoceima (Morocco), Using GIS-Based DRASTIC Model

Yousfi

Himi

Aqnouy

et al. 2023

IJERPH

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Groundwater resources of the alluvial aquifer Ghiss Nekkor, which covers an area of 100 km2, are the main source of domestic and agricultural freshwater supply in the region of Al Hoceima in Morocco. Due to human activities (overexploitation, increase in agricultural activity), this alluvial aquifer has become very sensitive to chemical pollution. The principal objective of this current study is to develop and implement a calibration method to assess, map, and estimate the vulnerability of the Ghiss Nekkor alluvial aquifer to pollution risk. In this work, the GIS-based DRASTIC model was used to estimate the inherent vulnerability to contamination of the Ghiss Nekkor alluvial aquifer with seven standard hydrogeological parameters. Nitrate (NO3) and electrical conductivity (EC) data were used to validate the DRASTIC map. The results of the vulnerability map analysis show that the vulnerability to contaminants varies from non-existent in the southwestern part of the plain (7.3% of the total area), to very high (14.5%). The vulnerability is moderate in the central and northeastern areas (26.9%), while it is high in the other areas (17.5%). Furthermore, the most sensitive areas are mainly concentrated near the coastal strip and the central plain on both sides of the Nekkor River. In these areas, the NO3 and EC values are above the maximum allowable limit of the World Health Organization. The results suggest that the DRASTIC model can be an effective tool for decision-makers concerned about managing groundwater sustainability.

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“…Morocco is vulnerable to frequent droughts, particularly in its four main basins including the Moulouya basin (Bouizrou et al 2022(Bouizrou et al , 2023. This region has experienced a widespread rainfall deficit that has led to a decline of up to 50% in some climate stations.…”

Section: Introductionmentioning

confidence: 99%

Integrating remote sensing, GIS-based, and AHP techniques to delineate groundwater potential zones in the Moulouya Basin, North-East Morocco

Hilal,

Qurtobi,

Saadi

et al. 2024

Appl Water Sci

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Groundwater is a valuable shared resource in the Moulouya Basin, but it has been in decline due to recent years of low rainfall and rapid population growth. To support socio-economic development, there is increased demand for this precious resource. This paper presents a standard methodology for delimiting potential groundwater zones using geographic information systems (GIS), an integrated analytical hierarchy process (AHP), and remote sensing techniques. Seven parameters that monitor the presence and mobility of groundwater, including drainage density, lithology, slope, precipitation, land use/land cover, distance to river, and lineament density, were incorporated into a raster data model using ArcGIS software. AHP-based expert knowledge was used to prepare a groundwater potential index and assign weights to the thematic layers. The study classified the area into five zones of varying groundwater potential: very high (26%), high (51%), moderate (13%), poor (9%), and very poor (1%). The accuracy of the model was validated by comparing the Groundwater Potential Zones map with data from 96 wells and boreholes across the basin. The validity of the results was confirmed by comparing them with the specific yield of the aquifer in the study area, yielding a high correlation coefficient (R2) of 0.79. The analysis revealed that 89.5% of the boreholes were situated in the high and very high potential zones, demonstrating the reliability and robustness of the employed approach. These findings can aid decision-making and planning for sustainable groundwater use in the water-stressed region.

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Spatio-temporal analysis of trends and variability in precipitation across Morocco: Comparative analysis of recent and old non-parametric methods

Cited by 18 publications

References 79 publications

Spatio‐temporal analysis of trends in annual maximum rainfall in the North‐West of Algeria: Comparative analysis of recent and old non‐parametric methods

Spatio‐temporal analysis of trends in annual maximum rainfall in the North‐West of Algeria: Comparative analysis of recent and old non‐parametric methods

Pollution Vulnerability of the Ghiss Nekkor Alluvial Aquifer in Al-Hoceima (Morocco), Using GIS-Based DRASTIC Model

Integrating remote sensing, GIS-based, and AHP techniques to delineate groundwater potential zones in the Moulouya Basin, North-East Morocco

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