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Hydrochemistry and geothermometry of thermal water in northeastern Morocco

Geothermal EnergyScience – Society – Technology20186:9

https://doi.org/10.1186/s40517-018-0095-2

  • Received: 18 January 2018
  • Accepted: 12 June 2018
  • Published:

Abstract

Thermal water in northeastern Morocco is a promising, sustainable resource of energy. To date, thermal water has not been used as a source of renewable energy in Morocco as no clear strategy has yet been developed for its use. In this study, 10 samples (boreholes and springs) of thermal water distributed within the basin of the Moulouya River were assessed, and their physical and chemical parameters (such as temperature, pH, electrical conductivity (EC), and major ionic composition, including the K+, Na+, Ca2+, Mg2+, Cl, SO42−, NO3, NO2, NH4+, H2PO4, CO32−, and HCO3) were measured. The results show that the temperature, pH, and EC range between 28 and 55 °C (as measured in field), 5.46 and 7.50, and 478 and 15,580 µS/cm, respectively. Furthermore, the results indicate the presence of four main hydrogeochemical facies dominating the hydrogeological system, which are Na–Cl, Na–Ca–Cl, Ca–Mg–HCO3, and Na–Ca–HCO3. The geothermal reservoirs of the different samples were investigated by the means of several geochemical methods, including the Giggenbach Na–K–Mg diagram, two geothermometers (Na–K–Mg), and the determination of the saturation index. We noticed different estimated geothermal reservoir temperatures over the range 80–170 °C.

Keywords

  • Thermal water
  • Hydrochemistry
  • Geothermometers
  • Northeast Morocco

Background

During the last three decades, many geothermal studies have been conducted in different parts of Morocco (Rimi and Lucazeau 1987; Rimi et al. 1998; Zarhloule et al. 1998, 2001, 2005; Tassi et al. 2006; Zarhloule et al. 2007; Rimi et al. 2012). Recently, some work has been carried out in the northeast part of Morocco to study the geothermal water potential (Barkaoui et al. 2014; Jilali et al. 2015b). For this purpose, different geothermometers were used to estimate the geothermal temperature, such as Giggenbach diagrams, alkaline and silica geothermometers, and the saturation index (Ahmad et al. 2002; Asta et al. 2012; Pürschel et al. 2013; Makni et al. 2014; Trabelsi et al. 2015; Wang et al. 2015). The same techniques were previously used in different parts of Morocco (Cidu and Bahaj 2000; Zarhloule et al. 2005; Tassi et al. 2006; Barkaoui et al. 2014).

One of the goals of this study has been to add a new thermal waters point in the Moulouya Basin in the northeastern part of Morocco, and for this 10 samples were subjected to detailed physico-chemical analyses. This work provides detailed information about the estimated temperatures in the geothermal reservoir using different geothermometers.

Study area

The study area is located in northeastern Morocco (Fig. 1). The sampling points of thermal water were scattered throughout the 18,000 km2 wide Hydraulic Basin Agency of the Moulouya River (HBAM), which discharges into the Mediterranean Sea. Based on the statistics given by HBAM for the year 2010/2011, the discharge is about 7.4 m3/s in winter and 1.8 m3/s in summer. The region is characterized by an arid climate with low precipitation and relatively high evaporation attaining 360 mm/year. The average temperature in the summer is about 40 °C. The distribution of precipitation is spatially variable with the highest amounts of rain falling in the north. For example, the average annual rainfall in the arid Figuig region totals 120 mm (Jilali and Zarhloule 2015), whereas that of the Triffa plain in the north reaches 327 mm (Yahya et al. 2015).
Fig. 1
Fig. 1

Moulouya Basin study area and location of sample points. The inset map of Morocco shows the principal hydraulic basins

The region of the study is mostly composed of Carboniferous schists (especially in the central part of the study area—see Figs. 2, 3); Triassic red clays with evaporites and basalts intercalated with dolomitic limestones; Jurassic carbonates and marls; Cretaceous sandstones, marls, and limestones; Neogene–Quaternary alluvia, gravels, sands, and conglomerates; capped by rhyolites of Neogene age. Generally, the unconfined and confined aquifers are formed by Cenozoic–Cretaceous and Jurassic age formations. Figure 3 shows a stratigraphic log of different aquifers hosted by the geological formations from where the samples were collected. The study area hosts numerous faults, which exhibit three main directions: ENE-WSW, NE-SW, and WNW-ESE. The structure of the study area consists of horst and grabens especially in the region of Oujda (Torbi 1988). The numerous faults play an important role in groundwater circulation, especially those in the Jurassic carbonate formations (Jilali et al. 2015b; Jilali and Zarhloule 2015).
Fig. 2
Fig. 2

Geological map of the study area

Fig. 3
Fig. 3

Stratigraphic log of the study area

[Modified from Lahrach (1999)]

Methods

Chemical analyses were performed on 10 groundwater samples. These were collected from deep boreholes and springs located in different parts of the study area (Fig. 1). The samples were located in the city, mountains, and on plains, such as Ben Kachour and Fezouan, Tiggour and Aïn Sidi Aïssa, respectively. An appropriate quality control procedure was carried out and the samples were handled very carefully. All the water samples were collected in polyethylene bottles (filled without leaving any air bubble) and stored in the absence of light at 4 °C, with the results of chemical analyses obtained after 10 days. Field parameters of the pH, temperature, and electrical conductivity (EC) were measured using an ORION STAR A111 and WATER PROOF CC-411. The major ions analyzed were K+, Na+, Ca2+, Mg2+, Cl, SO42−, NO3, NO2, NH4+, H2PO4 (SKALAR method, based on Flow Auto-Analyzer Assay Continued “FAC”), as well as HCO3 (Rodier 1984) in the Labomag laboratory based in Casablanca-Morocco (http://www.labomag.ma). The precision of the chemical analyses was defined by checking the ionic charge balance. The acceptable error on the ion balance is taken at a maximum of ± 4%.

To deduce the temperature of the geothermal reservoir, different geochemical diagrams were prepared. Data processing was performed using the AquaChem 2011.1 software (Waterloo 2011) to plot different diagrams. The reservoir temperature was estimated by applying various geothermometers: the Na–K–Mg diagram developed by Giggenbach et al. (1983) and Na–K–Mg geothermometers (Truesdell 1976; Fournier 1979; Michard 1979; Arnórsson 1983), whereas the geochemical modeling software PHREEQC (Parkhurst and Appelo 1999) was used to calculate the mineral saturation index (SI).

Results and discussion

Hydrochemistry

The results of sample analyses are listed in Table 1, and include the EC, temperature (T), pH, and the concentration of K+, Na+, Ca2+, Mg2+, Cl, SO42−, NO3, NH4+, and HCO3. They show that the thermal water pH ranges between 5.46 and 7.50. The EC ranges between 478 and 15,580 µS/cm, with most of the samples having very high values (> 2000 µS/cm) except for Fezouan and Hammat Moulay Yaâcoub (artesian borehole). The highest EC was recorded in samples 1, 3, and 4 near the Mediterranean Sea (coastal region) and can be justified by an intrusion of marine waters (i.e., mixing between groundwater and seawater), which is supported by the high concentration of Na+. The relatively high EC in the other samples can be explained by the hydrothermal alteration of sedimentary rocks (Fig. 3). Measurements of the pH indicate that the groundwater is slightly acidic to alkaline, except for the hydrothermal water of Aïn Sidi Aïssa (sample 8), which has a pH of 5.46 and a relatively high concentration of HCO3 (1082.8 mg/L). This indicates an excess dissolved CO2 in groundwater that was observed by the release of the gas bubble in the field. The temperature measurements range between 28 and 55 °C with the highest value being recorded in the Ben Kachour borehole (sample 9).
Table 1

Physico-chemical parameters of the sampled groundwaters

Sample

Date

Type

Name

Depth (m)

T  °C

pH

EC (µS/cm)

Na+ (mg/L)

K+ (mg/L)

Mg2+ (mg/L)

Ca2+ (mg/L)

NH4+ (mg/L)

Cl(mg/L)

SO42− (mg/L)

HCO3 (mg/L)

NO3 (mg/L)

1

28/01/2014

Well

23

32.3

6.87

13,150

1922.72

44.66

140.19

667.73

< 0.02

3947.21

570

216.6

29.73

2

28/01/2014

Borehole

Fezouan (1672/7)

200

36.3

7.14

754

29.74

0.76

31.38

73.84

< 0.02

26.5

46.7

363.00

6.39

3

29/01/2014

Spring

Hamma Naliw Amar

34.5

7.06

2910

378.8

20.18

48.41

91.7

0.59

630.52

110

343.48

4.2

4

29/01/2014

Spring

Hammam Châabi

32.9

6.53

10,860

1781.21

55.86

104.97

345.86

0.52

3198.3

296

460.00

4.16

5

29/01/2014

Spring

Aïn Hamra or Aïn Chifa

28

6.49

3380

464.23

6.86

98.52

281.42

0.43

257.85

577

1375.6

5.67

6

30/01/2014

Spring

Aïn Sidi Chafi or Laktitir

42.4

6.67

15,580

2562.25

33.25

246.99

865.02

0.03

4116.08

2108

192.2

4.71

7

31/01/2014

Borehole

208/31

1250

49.2

7.50

478

17.17

3.18

16.55

43.24

0.08

24.11

29

192.2

4.04

8

6/04/2014

Spring

Aïn Sidi Aïssa

41.1

5.46

4370

488.53

16.26

93.5

306.59

1.02

583.27

76.6

1082.8

3.56

9

7/04/2014

Borehole

Ben Kachour 159/12

500.25

55

6.48

5380

944.52

10.41

47.02

111.61

0.22

1419.81

142

304.44

4.13

10

22/05/2013

Spring

Tzadert

28.2

7.41

2180

299

6.5

30.3

86.9

< 0.02

506

62

292.8

11.5

Accuracy: T ± 0.1 °C, pH ± 0.01, and EC ± 0.25%

Figures 4, 5 and Table 2, identify the hydrogeochemical facies using Schöeller–Berkaloff and Piper diagrams, and the AquaChem software. The majority of hydrogeochemical facies are Na–Cl (Samples 3, 4 and 9), Na–Ca–Cl (Samples 1, 6 and 10), Ca–Mg–HCO3 (Samples 2 and 7), and Na–Ca–HCO3 (Samples 5 and 8). Mixing of seawater with groundwater explains the changes in chemical composition of samples 1, 3, and 4. The principal changes in groundwater composition are likely due to cation exchange processes with Liassic carbonate formations (i.e., reaction of groundwater with carbonate and the capacity of cation liberation) and an enrichment of the groundwater in Ca and Mg. Reverse cation exchange can be observed at the location of saline water intrusion, where the concentration of sodium increased and that of calcium decreased. For samples 6, 9, and 10, the exchange process was likely due to mixing with cold water (Barkaoui et al. 2014; Jilali et al. 2015a).
Fig. 4
Fig. 4

Schöeller–Berkaloff diagram highlighting the hydrogeochemical facies

Fig. 5
Fig. 5

Piper diagram showing the hydrogeochemical facies identified in the Moulouya Basin

Table 2

Type of water identified in the groundwater samples

Sample

Name

Water type

1

Na–Ca–Cl

2

Fezouan (1672/7)

Ca–Mg–HCO3

3

Hamma Naliw Amar

Na–Cl–HCO3

4

Hammam Châabi

Na–Cl

5

Aïn Hamra ou Aïn Chifa (Tlat Azlaf)

Na–Ca–HCO3–SO4

6

Aïn Sidi Chafi (Laktitir, Taourirt)

Na–Ca–Cl–SO4

7

Hammat Moulay Yaâcoub, Outat Lhaj or Tiggour (208/31)

Ca–Mg–HCO3

8

Aïn Sidi Aïssa (Ras Lakssar)

Na–Ca–HCO3–Cl

9

Ben Kachour (159/12)

Na–Cl

10

Tzadert (Figuig)

Na–Ca–Cl–HCO3

Figure 6 shows the scatter diagram of thermal water samples from the Moulouya Basin. The Na and Cl show a good correlation with R2 equal to 0.96, and a close correlation with the halite dissolution line for seven samples (2, 3, 5, 7, 8, 9, and 10). These suggest a same origin for the leached soluble salts (i.e., provenance from Triassic formations). In contrast, samples 1 and 4, collected close to the coast of the Mediterranean Sea indicate mixing between seawater and groundwater, with high values of Na. The scatter diagram of Ca+Mg vs HCO3/SO4 shows a high ratio indicating a carbonate and evaporitic source for the thermal waters, i.e., an origin of Ca and Mg from Triassic formations (Belhai et al. 2016). The highest values of Mg (up to 46 for the most samples) indicate a near-surface reaction that leaches Mg from the Jurassic carbonates (dolomite). The alteration of carbonates and silicates observed in the study area can liberate the Ca, Mg, and HCO3 from the host rocks.
Fig. 6
Fig. 6

Scatter diagrams of thermal waters from the Moulouya Basin showing the relationships between the different cations and anions

The good agreement between Ca and SO4 concentrations with R2 equal to 0.75 (Fig. 6), and most of the samples being close to the gypsum dissolution line indicate the dissolution of sulfate hosted by the Triassic rock formations (gypsum or anhydrite). The correlation between Ca vs HCO3 and Cl vs HCO3 is poor with R2 equal to 0.005 and 0.131, respectively, which makes any suggestion of mineralization processes questionable. The low ratio of HCO3/Cl indicates that the thermal waters flowed through a long flow path, corresponding to a deep circulation, like that described by Yurteri and Simsek (2017). This is confirmed by the presence of deep aquifers in the study area. In contrast, the scatter diagram of Na/Cl vs HCO3/SO4+Ca confirms that the chemistry of most of the samples is largely controlled by the dissolution of halite and gypsum from the Triassic rock formations.

The diagram Cl-SO4-HCO3 (Giggenbach 1991) is similar to the Piper diagram used for the classification of natural groundwater. This diagram provides information about water origin and physico-chemical processes that it experienced. The anion-based thermal water classification indicates the presence of three types of water: chloride-, sulfate- and bicarbonate-rich (Fig. 7). Thus, samples 2, 7, and 8 (Fezouan, Hammat Moulay Yaâcoub and Aïn Sidi Aïssa) belong to the bicarbonate group and can be considered peripheral waters that mixed with cold water. The rest of the samples correspond to the chloride domain and can be considered as mature water.
Fig. 7
Fig. 7

Distribution of the samples in the Cl–SO4–HCO3 ternary diagram with mature, peripheral, volcanic, and steam head water fields highlighted

Geothermometry

To estimate the geothermal reservoir temperature, different methods are used by several authors, such as chemical methods. These methods are based on the reaction between water and minerals. According to Michard (1979), at low temperature, the reaction between water and minerals reaches equilibrium slowly, and at high temperatures (reservoirs) much faster. With regard to the complexity of the water–mineral reaction, different geothermometers have been developed to estimate the reservoir temperature for the study area. Thus, several authors made estimations of the reservoir temperature, which are summarized in Table 3 (Cidu and Bahaj 2000; Zarhloule et al. 2005; Tassi et al. 2006; Barkaoui et al. 2014). In our study, three different geothermometers were used to calculate the reservoir temperature: diagram Na–K–Mg (Giggenbach, 1988), Na–K–Mg geothermometers (Truesdell 1976; Fournier 1979; Michard 1979; Tonani 1980; Arnórsson 1983; Giggenbach et al. 1983; Nieva and Nieva 1987; Giggenbach 1988), and SI method (Reed and Spycher 1984).
Table 3

Temperature of the deep water reservoir in the study area, as estimated by various authors

Sample

Name

Cidu and Bahaj (2000)

Zarhloule et al. (2005)

Tassi et al. (2006)

Barkaoui et al. (2014)

1

2

Fezouan (1672/7)

40–265 °C

53–187 °C

3

Hamma Naliw Amar

160–180 °C

99–170 °C

4

Hammam Châabi

5

Aïn Hamra or Aïn Chifa

45–129 °C

6

Aïn Sidi Chafi or Laktitir

54–83 °C

54–232 °C

100–110 °C

48–106 °C

7

208/31

8

Aïn Sidi Aïssa

9

Ben Kachour 159/12

60–270 °C

100–110 °C

67–105 °C

10

Tzadert

 

Diagram Na–K–Mg (Giggenbach, 1988)

The estimation of geothermal reservoir temperature using the Na–K–Mg diagram (Fig. 8) shows that the samples are situated close to the Mg pole. The samples belong to two groups: mature waters (fully equilibrated) for Aïn Sidi Chafi and Benkachour, and immature waters (unstable waters or incomplete equilibration, indicating mixing relationships) for the other samples, possibly also due to reactions with wall rock (Liassic dolostone). Using this diagram, the reservoir temperature obtained for the samples ranges between 80 and 170 °C. These results are practically in the same range of reservoir temperature as those calculated by Tassi et al. (2006) and Barkaoui et al. (2014) for the samples: 2, 3, 5, 6, and 9, for 2 and 9 by Zarhloule et al. (2005), and for 6 by Cidu and Bahaj (2000). On the other hand, it is possible that the waters represent a mixture of cold shallow water (unconfined aquifer with anthropic activities) with thermal water. In this case, it is essential to use other models or geothermometers to calculate the reservoir temperature.
Fig. 8
Fig. 8

Geothermal temperature reservoir of the study area using the Na–K–Mg diagram of Giggenbach (1988) highlighting the immature character of the waters from the study area

Na–K–Mg geothermometers

In this case, different geothermometer (Na–K–Mg) equations are used, such as
  • T °C = 933/(0.993 + log (Na/K)) − 273.15 (Arnórsson 1983)

  • T °C = 1319/(1.699 + log (Na/K)) − 273.15 (Arnórsson 1983)

  • T °C = 855.6/(0.8573 + log (Na/K)) − 273.15 (Truesdell 1976)

  • T °C = 908/(0.7 + log (Na/K)) − 273.15 (Michard 1979)

  • T °C = 1217/(1.483 + log (Na/K)) − 273.15 (Fournier 1979)

  • T °C = 1390/(1.52 + log (Na/K)) − 273.15 (Giggenbach 1988)

  • T °C = 4410/(14 − log (K2/Mg)) − 273.15 (Giggenbach et al. 1983)

  • T °C = 1178/(1.47 + (log (Na/K)) − 273.15 (Nieva and Nieva 1987)

  • T °C = 833/(0.78 + log (Na/K)) − 273.15 (Tonani 1980)

The results obtained using nine different Na–K–Mg geothermometers are shown in Table 4. The temperature estimated varies a lot between one model and another for the same sample, and is higher than that measured in the field. Some results are incorrect (i.e., Ben Kachour and Aïn Sidi Chafi with a temperature of 43.0, 30.8, and 38.6 °C for the geothermometers of Arnórsson (1983) and Truesdell (1976), respectively), because the temperature calculated is lower than that measured in situ. The temperature estimated for the remaining samples except Hammat Moulay Yaâcoub (50–190 °C) is practically in the same range as the results obtained using the Na–K–Mg diagram (Fig. 8). By comparing our results with Cidu and Bahaj (2000), Zarhloule et al. (2005), and Barkaoui et al. (2014), we can conclude that the range of geothermal reservoir temperatures is different from one author to another, but the average temperature is quite similar. The most striking observation is the large interval of the estimated geothermal reservoir temperature. Because of this, another way to estimate reservoir temperature, the saturation index method (Reed and Spycher 1984), was applied to pinpoint a more narrow temperature range.
Table 4

Temperature of the deep water reservoir as estimated by applying the Na–K and K–Mg geothermometers

Number

Name

T °C

T °C (Arnórsson 1983)

T °C (Arnórsson 1983)

T °C (Truesdell 1976)

T °C (Michard 1979)

T °C (Fournier 1979)

T °C (Giggenbach 1988)

T °C (Giggenbach et al. 1983)

T °C (Nieva and Nieva 1987)

T °C (Tonani 1980)

1

32.3

82.01

122.59

70.29

115.88

117.29

167.56

70.12

106.36

107.92

2

Fezouan (1672/7)

36.3

87.70

127.58

76.10

122.92

122.55

173.43

111.50

113.95

3

Hamma Naliw Amar

34.5

138.50

170.59

128.39

186.95

168.35

224.44

64.13

156.23

168.50

4

Hammam Châabi

32.9

100.56

138.70

89.25

138.90

134.33

186.56

78.89

123.00

127.62

5

Aïn Hamra ou Aïn Chifa (Tlat Azlaf)

28

57.30

100.57

45.19

85.69

94.15

141.72

34.79

83.78

81.96

6

Aïn Sidi Chafi (Laktitir, Taourirt)

42.4

50.83

94.69

77.86

88.00

134.85

57.21

77.78

75.21

7

Hammat Moulay Yaâcoub, Outat Lhaj or Tiggour (208/31)

49.2

267.61

269.35

265.08

360.78

276.20

343.99

261.73

313.65

8

Aïn Sidi Aïssa (Ras Lakssar)

41.1

104.46

142.05

93.26

143.79

137.89

190.53

52.35

126.47

131.80

9

Ben Kachour (159/12)

55

87.55

68.49

80.55

126.53

70.51

67.11

10

Tzadert (Figuig)

28.2

78.16

119.20

66.37

111.15

113.72

163.58

45.13

102.88

103.86

Saturation index

The Saturation Index method of estimating the reservoir temperature was developed by Reed and Spycher (1984). This method is based on the fact that the composition of water is slightly modified during the rise of water at the surface; and the SI is calculated for each temperature: 75, 100, 125, 150, 175, and 200 °C. The results of temperature vs SI for all samples are plotted in Fig. 9. The water reservoir temperature is related to the equilibrium of a maximum of minerals (SI = 0) and is higher than that measured in situ.
Fig. 9
Fig. 9

Saturation index (SI) vs temperature for thermal waters from the study area

Figure 9 shows that anhydrite and dolomite are close to equilibrium (SI ~ 0) for the samples 1, Fezouan, Hamma Naliw Amar, Hammam Chaâbi, Aïn Hamra (Aïn Chifa), Hammat Moulay Yaâcoub, and Tzadert. The equilibrium at the above locations corresponds to the following temperature values and mineralization: 110 °C (anhydrite)/190 °C (dolomite), 175 °C (anhydrite), 160 °C (anhydrite)/200 °C (dolomite), 135 °C (anhydrite)/190 °C (dolomite), 110 °C (anhydrite)/200 °C (dolomite), 190 °C (anhydrite)/200 °C (dolomite), and 170 °C (anhydrite), respectively. For the Aïn Sidi Chafi area, the estimated temperature is 60 °C for anhydrite, 90–125 °C for gypsum and 180 °C for dolomite. Finally, Aïn Sidi Aïssa and Benkachour show the temperature of 90–100 °C and 90 °C for the dolomite, calcite, aragonite minerals, respectively, and 160 °C for anhydrite and dolomite. These results show the same ranges of estimated reservoir temperature as Barkaoui et al. (2014) for Aïn Chifa and Benkachour, but for the other samples (Hamma Naliw Amar, Fezouan, and Aïn Sidi Chafi’Laktitir’) the temperature estimated is different, with values of 160–200 °C and 190 °C, and less than 130 °C, respectively.

Conclusions

This study investigated thermal waters in the hydraulic basin of the Moulouya River. The results show a high temperature (55 °C) in the Benkachour borehole. We used the hydrochemical facies identified, such as Na–Cl, Na–Ca–Cl, Ca–Mg–HCO3, and Na–Ca–HCO3, and various geothermometers to estimate the temperature of the geothermal reservoir. The temperature obtained ranges between 80 and 170 °C, with the results obtained by the different methods being in good agreement. On the other hand, the estimated reservoir temperature for Hammat Moulay Yaâcoub (sample 7) demonstrates very high values, with an average of 295 °C using Na–K–Mg geothermometers. Therefore, other geothermometers such as a silica geothermometer are suitable to limit the interval of estimated reservoir temperature.

Declarations

Authors’ contributions

AJ, AC, and AE carried out the fieldwork. AJ processed the data using specialized software and drafted the manuscript. AC and AE reviewed the literature. All authors edited the manuscript. All authors read and approved the final manuscript.

Acknowledgements

The authors wish to thank Dr. Mike Mlynarczyk for helping to improve this manuscript, the editor, and the anonymous reviewers.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

All information and data necessary to understand the results and conclusions drawn in the paper are in the text, tables, and figures or can be found in cited references.

Funding

Not applicable.

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Authors’ Affiliations

(1)
Ministry of Energy, Mines, and Sustainable Development, Abou Marouane Essaadi Street, Rabat-Institut, BP 6208, Haut Agdal, Rabat, Morocco
(2)
Laboratory of Applied Geosciences, Faculty of Sciences, University Mohammed I, Boulevard Mohammed VI, 60000 Oujda, Morocco

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