Groundwater recharge estimation in semi-arid zone: a study case from the region of Djelfa (Algeria)

Abstract

Deficiency of surface water resources in semiarid area makes the groundwater the most preferred resource to assure population increased needs. In this research we are going to quantify the rate of groundwater recharge using new hybrid model tack in interest the annual rainfall and the average annual temperature and the geological characteristics of the area. This hybrid model was tested and calibrated using a chemical tracer method called Chloride mass balance method (CMB). This hybrid model is a combination between general hydrogeological model and a hydrological model. We have tested this model in an aquifer complex in the region of Djelfa (Algeria). Performance of this model was verified by five criteria [Nash, mean absolute error (MAE), Root mean square error (RMSE), the coefficient of determination and the arithmetic mean error (AME)]. These new approximations facilitate the groundwater management in semi-arid areas; this model is a perfection and amelioration of the model developed by Chibane et al. This model gives a very interesting result, with low uncertainty. A new recharge class diagram was established by our model to get rapidly and quickly the groundwater recharge value for any area in semi-arid region, using temperature and rainfall.

Evaluation of groundwater recharge in Poland using the infiltration coefficient method

“…The in fil tra tion co ef fi cient value is as soci ated not only with the per me abil ity of the soil/rock in the un satu rated zone, but also with the cli ma tic zonation. For ex am ple, Ali Rahmani et al (2016) re ported these val ues for the semi-arid con di tion.…”

“…There are sev eral clas si fi ca tions used for the as signing, e.g. clas si fi ca tions by Paczyñski (1972), Schnei der and Züschang (Za³uski, 1973), Wright et al (1982), Pazdro and Kozerski (1990), Daly (1994), Singh (2003), Voudouris et al (2007) and Ali Rahmani et al (2016). In these clas si fi ca tions the in fil tra tion co ef fi cient of very good per me able rocks (flu vio glacial and ae olian sands and gravel, frac tured and karst rocks) ranges from 0.3 to 0.5, and for good and me dium per me able de pos its (sands and gravel in ter mi nal mo raines, gla cial sands and gravel, sands and muds, al lu vial fill ter races, diluvial sands, peat, silty sands) it is 0.2-0.25.…”

Sensitive analysis of ground recharge estimation model, for semiarid areas

“…Based on a recent model published by Ali Rahmani et al (2016), a sensitive study of the physical context of this hydrological-based model was established by introducing two factors: topography of the basin and stream network density to extend the model efficiency; the calibration process was done by using soil chloride mass balance (Allison 1988).…”

“…where Gw is the groundwater recharge estimated by Ali Rahmani et al (2016) model, Gf is the geological factor that describes the permeability of soil, Tf is the topography factor that describes the basin inclination, and Ddf is the drainage density expressed as a part of average runoff.…”

“…In this paper, we present a previous published model (Ali Rahmani et al 2016) to quantify groundwater recharge by introducing some parameters to make the model more useful and dynamic for all semiarid sites. It can be used in geographic information systems (GIS) to establish map of spatial variation of groundwater recharge and map of sensitive areas to different sources of pollution.…”