TITLE:
Qualitative and Comparative Study of Different Methods of Interpolation for the Mapping of Groundwater Salinity: Case Study of Thermal Waters Used for Irrigation in Northeastern Algeria
AUTHORS:
Touhami Feraga, Séverin Pistre
KEYWORDS:
Groundwaters, Irrigation, Algeria, Ordinary Kriging, IDW, Sodization, Alkalinization, Soils
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.9 No.7,
July
28,
2021
ABSTRACT: Faced
with the scarcity of surface water accentuated by climate change, particularly
in many arid and semi-arid countries, the quality of groundwater used for
irrigation is a concern to agronomists and hydrogeologists. When these waters are of deep origin, they may have
high mineralization and chemical compositions unsuitable for irrigation;
in particular, they may alter soils and crops. It is therefore important to
optimize the spatial estimation of the salinity of these waters and contribute
to better knowledge of their quality, through an adapted and robust statistical
and geostatistical approach. In the case of north-eastern Algeria, the
objective of this study is to characterize the quality of deep waters and to
test two interpolation methods (Inverse distance weight and ordinary Kriging)
of their electrical conductivity (EC) as an indicator of their salinity and of
the risk of damaging irrigated soils. 51 groundwater samples were taken in this region where there are many thermal springs,
the water of which is used for irrigation and often is highly mineralized (EC
between 0.6 and 26.6 dS/m). The geology is composed of karstic rocks crossed by
large faults that allow deep water to rise. Based on major elements contents,
analysis of the hydrochemical facies of these waters shows that the main facies
are hyperchlorinated sodium (38%) and sulfated calcium (32%). The RSC (Residual
Sodium Carbonate) and SAR (Irrigation water salt) indexes were used to assess
the water quality. The results indicate that the majority of the sampled groundwater present a risk for soils irrigated with
these waters (almost 1/3 presents a strong risk). The risk for the soils seems
to be explained by the positive value of the residual alkalinity, and the high
risks of sodization and alkalinization. The geostatistical analysis reveals
strong heterogeneity in electrical conductivity (salinity). The maps based on
this analysis allow the identification of risk areas. The comparison of Inverse
distance weight and ordinary Kriging methods indicates similar results being
obtained through both methods. However, ordinary kriging appears to be more
accurate, less biased, and seemingly better
represents the organization of the groundwater resources, as NE-SW alignments are visible. With the proposed approach, it is possible to calculate the surface
areas of the different salinity thresholds and then optimize the use of
deep groundwater for irrigation.