Papar 3
Papar 3
Papar 3
https://doi.org/10.1007/s41207-019-0130-0
ORIGINAL PAPER
Abstract
The food security challenge requires exploring new agricultural lands almost belonging to the arid and Saharian climate
zones. An experimental trial was carried out in 2011 in southern Algeria (Hassi Miloud) where agricultural practices started
a few years ago. Investigations of the soil at different depths (vadose and saturated horizon) and waters sampled from two
irrigations bore holes were made. Irrigation water and subsoil water solution salinity values were close (EC = 3.07 and
EC = 3.16 dS/m, respectively) but the saturated horizon salinity was clearly higher (EC = 9.11 dS/m). The saturation index
and concentration factor were defined to predict possible trends of each type of water. Irrigation waters were undersaturated
in gypsum, anhydrite and halite and close to equilibrium in aragonite, calcite and dolomite. In the vadose and saturated
horizon, the waters were close to the oversaturation state. A correlation matrix was developed to analyze ionic interactions
between the solutions from the vadose and saturated horizon. An important exchange between the two horizons was observed
involving mainly sodium, chlorides and sulfates. We conclude that the use of these waters requires more attention to sustain
agricultural development because they require processes never observed before in dry areas.
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the salinity of soil and water irrigation in Hassi Miloud, a Soil and water sampling
new agricultural area in the Algerian Sahara where pome-
granate trees, olive trees, alfalfa and barely are cultivated. Sixty-four samples were taken corresponding to 64 holes
This study focuses on two complementary objectives, distributed according to a 30-m grid plan. For these, three
the first being to evaluate the salinity of soils subjected soil depth levels were prospected corresponding to root
to irrigation from two deep wells capturing the complex depths of 0–0.20 m, 0.20–0.40 m and 0.40–0.60 m (Fig. 3).
terminal aquifer. The second part deals with the possible During the trials, a solid layer of gypsum was found at depth.
hydrochemical influence of the water table on soil salinity. This situation led us to work with only 48 samples over the
The adopted approach was to study the salinity of the soil 64 reaching 0.40 m depth and 34 samples over the 64 reach-
layers and aquifer water. Any ionic interactions between ing 0.60 m depth. In another site, 18 water samples were
the unsaturated and saturated zones were evaluated by the considered at different depths (0.50–1.50 m) to describe
correlation matrix. An analysis of the salinity profiles, the water’s mineral composition in the saturated horizon.
salinity spatial distribution and mineral exchanges between The water sampling occurred 2 days after irrigation, and
irrigation waters and the soil horizons enables a discussion all the samples were collected 10 min after the beginning
of possible trends of the subsoil composition, contribut- of pumping.
ing to the debate on the sustainability of the new Saharian Two bore holes (indicated as F1 and F2) were installed
agricultural models. at about 100 m to irrigate the crops in the study plot and
were taken as landmarks with the following coordinates:
(F1: N32° 04,880′ and E005° 18,050′) and (F2: N32° 04,838′
and E005° 18,098′). The main crops are palm dates, pome-
Materials and methods granates, olives, alfalfa and barley, which are all rather salt
tolerant. A furrow irrigation system, called Seguia, is prac-
Study site description ticed in addition to the drip one, whose use is increasing
rapidly across the region. The drainage layout is made of
This study was conducted from 4 to 11 April 2011 in the open ditches at different parts of the plot (Fig. 3).
oriental Erg of the Algerian Sahara. The study was carried
out in a plot in the Hassi Miloud region, located 13.5 km
from the city of Ouargla (district of Ouargla), limited to the Methodology
north by the agglomeration of N’Goussa (Fig. 1). In the early
1990s, a development program for Saharian agriculture was Three cases are considered here to determine the chemical
dedicated by the state to create “irrigated areas” equipped compositions of soils and waters (Table 1).
with bore holes for irrigation.
Our study site, which covers > 4 ha, consists of sandy – The irrigation waters collected from bore holes;
soils cultivated since the early 2000s. The region is char- – The mineral composition of the soil solution;
acterized by a dry climate with mean annual precipitation – The mineral composition of water in the saturated layer
approaching 38 mm. January, October and November are the (0.50 m and 1.50 m depth).
rainiest months; they receive 8 mm. The mean evaporation
during the 1999–2009 period was 3400 mm. The maximum
evaporation of 500 mm occurs in July (Fig. 2). Spring winds Soil parameter analysis
are common and strongly affect the evaporation rate.
The pumps were designed to extract water from the The methodology adopted for soil solution analyses was rec-
complex terminal aquifer, which is divided into two hydro- ommended by Aubert (1978). As a pre-treatment of the soil
geologic storage tanks: the carbonated “high Eocene Creta- samples, we followed the author’s recommendations to dry
ceous” and the loamy sandy “Mio-Pliocene” (Cornet 1964). the soil samples in open air and sieve them to 2 mm. The
Water age is estimated at between 10,000 and 20,000 years soil samples were packaged in plastic bags and analyzed in
according to radiocarbon methodology (Guendouz et al. the soil science laboratory of the Algerian National School
2003; Ould Baba Sy 2005). The plot was characterized by of Agronomy. The soil pH was measured using the poten-
light, predominantly sandy soils with a particulate structure. tiometric method at a 1:25 soil:water ratio. The physical soil
The soils are distinguished by alkaline pH, high salinity and characteristic (sandy texture) did not allow us to determine
good aeration. Also, these soils have very poor organic mat- the saturated past of soil samples easily because of the dif-
ter levels and low biologic activity; the small amount of ficulties encountered related to the identification of the cri-
organic matter present in the soil comes from the organic teria for achieving saturation of the paste (He et al. 2015).
manure applied in palm plantations. In addition, the 1:5 ratio has the advantage of simplicity,
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Fig. 1 Descriptive elements of the study area. a Geographical loca- Hassi Miloud in the Ouargla Valley. d Piezometric map of the phre-
tion of Ouargla in Algeria; b hydrogeologic cross section of the com- atic groundwater aquifer in Ouargla, Ministry of Water Resources,
plex terminal aquifer in Algeria (adapted from Guendouz et al. 2003). National Office for Sanitation 2004)
The profile of this cross section is presented in a. c Location of
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reducing the time and cost compared with saturation paste result of the measurement is adjusted to a temperature of
extracts, and also dissolves more solutes than the saturation 25 °C (Mathieu and Pieltain 2003).
paste extracts, especially for sparingly soluble and stirring The ionic balance concerned the soil solution extracted
salts (He et al. 2012; Franzen 2007). Therefore, EC is meas- from a 1:5 soil:water ratio. Calcium, sodium and potas-
ured by the electrical method on 1:5 aqueous extract. The sium are determined by flame photometry. Magnesium is
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determined by atomic absorption spectrophotometry. Sul- holes is calculated from the equation of Todd and Mays
fates are calculated by the gravimetric method based on the (2005), according to the relation (3)
deposition of sulfates in the form of barium sulfate by etch-
ing the extract with a barium chloride solution. Chlorides
HT = 2.5 Ca + 4.1 Mg (3)
are evaluated by the Mohr method based on the titration of where Ca2+ and Mg2+ are expressed in mg/l.
the soil water extract with silver nitrate by adding potas- The SAR is calculated according to the equation proposed
sium chromate (K2CrO4) until a brick red color appears. by Richards (1954) and represented as follows:
Bicarbonates and carbonates are quantified by titration with
sulfuric acid in the presence of indicators (phenolphthalein
/[ ]1∕2
SAR = Na (Ca + Mg)∕2 (4)
and methyl orange). The end of the reaction is indicated by
a color change to orange (Rodier 1997). Na+, Ca2+ and Mg2+ are expressed in meq/l.
Finally, a geostatistical approach using Variowin software
was applied to study the electrical conductivity variability in
Water parameter analysis
the horizon (0–0.20 m) (Pannatier 1996). The soil salinity
was mapped using kriging to estimate the values of the EC
The irrigation waters and the waters collected from the satu-
unsampled locations using the points around it. The kriging
rated layer were analyzed to assess the ionic balance and pH.
estimation is expressed as follows:
The considered cations were calcium, magnesium, sodium
and potassium, and the considered anions were chlorides, Nnb
sulfates and bicarbonates. The measurement methods were
∑
Z(x0 ) = 𝜆i Z(xi ) (5)
similar to those of the soil solution and were described pre- i=1
viously. Accordingly, the ionic balance analysis is assumed Here z(x0) is the estimator of the mean Z on x0. Z (xi) is
satisfactory when the relative error is < 10%. the known value Z at the point xi. Nnb is the number of data
A water concentration factor (Fc) in a given horizon is points used for estimation, and λi is the kriging weights,
defined by: which are estimated as the solution of the kriging system.
Actual concentration ion in chlorides The weightings involved in the linear combination are
Fc (meq/l) =
The minimum chlorides concentration in all samples obtained by solving the minimization problem whose equa-
(1) tions depend on the theoretical variogram and the geometric
As the chlorides are not degraded in the environment and configuration of the EC data point’s knowledge. The equa-
tend to remain in solution once dissolved, the concentration tion of the semi-variogram is expressed as:
factor is a good indicator of the exchanges between the sub- m
soil horizons. 1 ∑{ }2
𝛾(h) = Z(Xi + h) (6)
In addition, “Diagram” software was run to determine the 2m i
water properties and calculate mineral saturation indexes
where h is the distance between Xi and Xj; m is the number
(Simler 2007, Parkhurst and Appelo 2013). The saturation
of pairs that are separated by the distance h. The model vali-
index (SI) is calculated using the following relationship:
dation is completed by calculating the indicative goodness
PAI of fit (IGF).
SI = log (2)
Ks
where PAI is the activity product of the ions, and Ks is the
solubility product of the considered mineral. Results
The equilibrium state between a given mineral and the
water is reached when the saturation index (SI) = 0. SI < 0 Chemical characteristics of the waters
indicates the soil solution is undersaturated, and SI > 0
indicates oversaturation. Consequently, a given solution is The comparison of the two bore holes’ waters is shown in
undersaturated when it moves to dissolution. Contrarily, Table 2. The pH is neutral to slightly alkaline and equals
oversaturation occurs when the solution moves to precipita- 7.9 and 7.5 in F1 and F2, respectively. The salinity in F1
tion (Deutsch and Siegel 1997). Two important water quality waters is lower than that of F2 with an EC value of 1.84
parameters are used in the chemical assessment of water: and 3.07 dS/m, respectively. In addition, all the mineral
the water hardness and sodium adsorption ratio (SAR). The concentrations of F2 waters are higher than those of F1
water hardness expressed in mg/l of CaCO3 in F1 and F2 because sodium and sulfates are the major cations and ani-
ons, respectively, observed in waters. We conclude that
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Table 2 Bore holes (F1 and F2) pH CE Ca++ Mg++ Na+ K+ Cl− SO42− HCO3− SAR Hardness
analysis results
F1 7.9 1.84 10.27 2.38 19.43 0.46 14.8 18.51 1.18 7.74 632.5
F2 7.5 3.07 14.22 6.41 30 0.74 21.8 25.3 3.39 9.34 1031.5
150
100
50
0
4 5 6 7 8 11 15 22 26 27 38 39 45 47 48 50 51 52
Water samples
the waters’ chemical facies is dominated by sodium sul- mean values of 82.09 meq/l and 124.35 meq/l, respectively
fate (NaSO4) with ionic concentrations ranking as follows: (Fig. 4).
Na+ > Ca2+ > Mg2+ > K+ and SO42− > Cl− > HCO3−. In the saturated horizon, the salinity of the solution is also
The depiction of the mineral composition of the waters dominated by sodium sulfate and confirms the conclusions of
in a Riverside chart exhibits high salinity and a medium Semar et al. (2013). The Piper’s chart shows that the cation
alkaline trend for F1 defined by the class (C3-S2). For F2, amount decreases as Na+ > Ca2+ > Mg2+ > K+ and that the
a very high salinity and high alkaline trend exist, defined anion amount decreases as SO42− > Cl− > HCO3− (Fig. 5).
by the class (C4-S3). Irrigation with these waters should be In some solutions collected from the saturated horizon
carefully practiced particularly in case of F2 waters because (6 samples), the magnesium amount was higher than that of
the chloride content exceeds 10 meq/l (Ayers and Westcott calcium. This observation occurred indistinctly when F1 and
1994). F2 waters were used in irrigation. According to Nezli et al.
The saturation index (SI) indicates an oversaturation close (2007), the sodium sulfate trend encountered in only 7.28%
to equilibrium in aragonite, calcite and dolomite, while it of the region’s water enables an ionic exchange between
indicates an undersaturation in gypsum, anhydrite and halite sodium and magnesium. The concentration values of the
(Table 3). waters vary from 1.20 and 2.80; five of the values were >
2.00. This is because of a gypsum layer that reduces the ver-
Saturated horizon salinity tical drainage and limits the chloride transfer in deep levels.
The obtained saturation indexes (SIs) indicate that gyp-
The pH of the collected solution ranged from neutral to sum and anhydrite contents vary in an opposite way to
slightly alkaline (7.30–8.10). A high level of salinity was vadose (Fig. 6). An overestimation of aragonite, calcite
observed, and EC ranged between 7.05 and 11.65 dS/m with and dolomite contents (SI values vary between 0 and 2) is
a variation coefficient of 16.14% and mean of 9.11 dS/m. observed for samples 4, 7, 8, 22, 27, 38, 39, 45 and 50. Nezli
Major cations and anions were sodium and sulfates with et al. (2007) have also demonstrated that these solutions are
oversaturated with carbonates and that the concentration fac-
tor is such that log (Fc) < 0.20. An underestimation of the
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Euro-Mediterranean Journal for Environmental Integration (2019) 4:40 Page 7 of 14 40
halite content was also reported by these authors indicating the water belongs to the C5-S4 class (Fig. 7). These values
SI values between − 4.5 and − 5.5 (Fig. 6). express a strong saline and alkaline trend due to the continu-
Concerning the water solution in the saturated horizon, ous interaction among irrigation water leaching, capillary
the SAR index varies from 9.84 to 25.22, which implies that ascension and water table rising. In this horizon, the chloride
concentration exceeds the 10 meq/l threshold and ranges
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60
50
40
30
20
10
0
3 4 5 6 7 8 11 12 14 15 16 17 18 19 20 22 25 26 27 28 29 34 38 39 40 41 45 47 48 50 51 52 60 63
Soil samples
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and Shaddad 2010). As a result, salt-resistant crops are bloedite and others) appears to be a distinctive feature of
suggested, and salt leaching of the drainage system is rec- the hyper-desert soil. In this environment, they are more
ommended in this case. This is related to the combined stable than simple sulfates. The waters of the saturated
effects of irrigation and upwelling from the saturated zone. zone had a SO42− and Na+-controlled EC and revealed the
The chemical analysis of the irrigation water of two bore- same facies as before; they belong to the C4-S4 class with
holes (F1 and F2) capturing the terminal complex of the chloride contents > 10 meq/l. The chemical exchanges
Hassi Miloud perimeter indicated a slightly alkaline pH, between the unsaturated and saturated zones were illus-
the ECs were close to 1.8 and 3.1 dS/m, respectively, and trated by the ions Mg2+, HCO3−, K+, Ca2+, Na+, Cl− and
the chemical facies was sulfated sodium. Considering the SO42−.
EC values present at the two boreholes (F1 and F2), to Once irrigation waters, soil solutions of the vadose and
mitigate the risk of soil salinization, the use of F1 in crop saturated horizons had been assessed according to various
irrigation is recommended as the EC value was relatively classification charts, we found that the irrigation waters
lower (1.84 dS/m) than that of F2 (3.07 dS/m). belong to the C3-S2 and C4-S3 classes according to the
The irrigation classes defined by the Riverside dia- Riverside classification. Salinity, alkalinity and excess chlo-
gram were C3-S2 and C4-S3, respectively, for F1 and F2 ride were the main characteristics of the F2 well’s water.
and show that the waters pumped from the second water High salinity levels were observed in the vadose (0–0.20 m),
point represented a danger of salinization and alkalization. and primary ions were sodium and sulfates. In the horizon
However, research in Tunisia showed that medium saline (0.40–0.60 m), the solution properties belonged to the
water can be used for irrigation without major difficulties C4-S4 class because of a significant chloride concentration
(Cointepas 1964). Chloride levels exceed the allowable (> 10 meq/l).
limit of toxicity for plants usually grown in intercrops.
Drilling water (F2) tended to deposit carbonate minerals
(aragonite, calcite and dolomite), unlike gypsum and hal- Conclusion
ite, which dissolve. As for drilling water (F1), only calcite
tended to settle; the other minerals were either in equilib- The study conducted in the Hassi Miloud (Ouargla) region
rium or undersaturated. The soil solution of the deep layer was a representative case for many areas with an arid climate
(40–60 cm) had an EC on the order of 3 dS/m with a sul- irrigated by relatively mineralized waters of the complex
fated sodium chemical facies. According to Hamdi-Aissa terminal and located near a shallow-surface water table. The
et al. (2004), the presence of mixed sulfates (glauberite, chemical analysis of the irrigation water of two boreholes
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Table 4 Correlation matrix between soil solutions (VZ) in the 0.40–0.60 m layer and saturated horizon (SZ)
pHvz Cevz Cavz Mgvz Navz Kvz Clvz SO4vz HCO3vz pHsz Cesz Casz Mgsz Nasz Ksz Clsz SO4sz HCO3sz
pHvz 1
Cevz − 0.30 1
Cavz 0.33 − 0.36 1
Mgvz 0.28 − 0.36 0.40 1
Navz − 0.34 0.35 − 0.10 − 0.18 1
Kvz 0.46 − 0.24 0.22 0.34 − 0.56 1
Clvz 0.003 0.14 − 0.13 0.16 − 0.19 − 0.05 1
SO4vz − 0.10 − 0.13 0.42 0.08 0.46 − 0.12 − 0.65 1
HCO3vz 0.18 0.14 0.37 − 0.09 0.09 − 0.02 − 0.33 0.43 1
pHsz − 0.20 − 0.33 0.24 0.22 0.01 0.11 − 0.11 0.07 − 0.09 1
Cesz − 0.05 0.01 0.42 0.27 0.62 − 0.34 − 0.41 0.70 0.46 0.08 1
Casz 0.27 − 0.44 0.95 0.30 − 0.22 0.24 − 0.23 0.40 0.30 0.36 0.32 1
Mgsz 0.29 − 0.36 0.40 1.00 − 0.18 0.34 0.16 0.08 − 0.08 0.22 0.27 0.30 1
Nasz − 0.14 0.001 0.10 0.19 0.76 − 0.55 0.07 0.25 − 0.17 0.10 0.58 − 0.03 0.19 1
Ksz 0.41 − 0.26 0.30 0.36 − 0.46 0.98 − 0.05 − 0.07 − 0.07 0.16 − 0.27 0.31 0.36 − 0.40 1
Clsz 0.35 − 0.34 0.34 0.44 − 0.27 0.25 0.55 − 0.22 0.04 − 0.06 0.02 0.27 0.44 0.15 0.28 1
SO4sz − 0.07 − 0.14 0.44 0.49 0.60 − 0.31 − 0.16 0.51 0.01 0.29 0.73 0.35 0.49 0.84 − 0.17 0.09 1
HCO3sz 0.18 0.15 0.36 − 0.10 0.09 − 0.01 − 0.33 0.43 0.99 − 0.08 0.45 0.29 − 0.09 − 0.19 − 0.07 0.02 − 0.01 1
(F1 and F2) capturing the complex terminal of the Hassi Boivin P, Hachicha M, Job JO, Loyer JY (1989) Une méthode de car-
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Acknowledgements This review article was not supported by any grant Stress Physiol Biochem 6(3):64–90
or funding. The authors thank Mrs. Benkedidah Fatima Zohra for her Hamdi-Aissa B, Valles V, Aventurier A, Ribolzi O (2004) Soils
contributions of carrying out water and soil analyses and enriching and Brine Geochemistry and Mineralogy of Hyperarid Desert
exchanges related to the topic. Playa, Ouargla Basin, Algerian, Sahara. Arid Land Res Manag
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bilité du système oasien et mesures de sauvegarde de l’oasis de
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states that there is no conflict of interest. He Y, DeSutter T, Prunty L, Hopkins D, Jia X, Wysocki DA (2012)
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