Using a multi-disciplinary approach to characterize groundwater systems in arid and semi-arid environments: The case of Biskra and Batna regions (NE Algeria)

Ghiglieri, Giorgio; Buttau, Cristina; Arras, Claudio; Funedda, Antonio Luca; Soler, Albert; Barbieri, Manuela; Carrey, Raúl; Domènech, Cristina; Torrentó, Clara; Otero, Neus; Carletti, Alberto

doi:10.1016/j.scitotenv.2020.143797

Cited by 10 publications

(7 citation statements)

References 32 publications

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“…The correlation between geophysical issues and ANRH piezometric investigations demonstrates that the piezometric dome overlays Droh anticline. Regional folds constitute structural highs and play an important role in recharging or dispersing surface water flows as confirmed by Ghiglieri et al (2021). Due to their high piezometric level (290 m) and high hydraulic gradient (20-50 ‰), it was observed that deeper boreholes carried out in the Maastrichtian limestone at Droh provide significant groundwater yield with an average of 40 L/s.…”

Section: Hydrogeological Correlationmentioning

confidence: 88%

“…-The lower Eocene limestone aquifer is composed of cracked white limestone (Lower Eocene) and marl and dolomitic limestone (Upper Senonian); the top is composed of Mio-Pliocene sandy clay formations in the North and Eocene gypsum marls in the South (Sedrati, 2011). We note the presence of an aquitard from Middle Eocene represented by evaporite and marl deposits, a Maastrichtian-Campanian aquifer composed of limestone of Upper Cretaceous to Lower Eocene and hosting a karst aquifer with a total thickness ranging from 400 to 500 m; Santonian-Coniacian aquiclude with intercalation of evaporite deposits on 100 to 300 m of thickness, Turonian aquifer composed of limestone deposits in hydraulic communication with limestone aquifer and Cenomanian aquiclude (Ghiglieri et al, 2021). Indeed, the isopach map shows that limestone aquifer thickness varies from 50 m to 260 m. The thickening occurs in parallel with its deepening in Chetma between 50 to 170 m (Sedrati et al, 2008).…”

Section: Hydrogeological Settingmentioning

confidence: 90%

“…The southern part nearby Biskra is mostly affected by tectonic lineaments, hence, the fault network facilitates hydraulic interconnection between different aquifers. A mixing of groundwaters and hydrogeochemical quality (Abdennour et al, 2021;Ghiglieri et al, 2021;Semar et al, 2021) between saline and fresh groundwater resulted in a wide variability in resistivity. Local aquifers are separated by low permeable formations accelerating the inflow and outflow of groundwater where limestone was fissured.…”

Section: Hydrogeological Correlationmentioning

confidence: 99%

“…In this context, it's constitute a pattern that provides a potential groundwater productivity zones and the main path for groundwater flow. Indeed, antiform could strongly influence groundwater flow direction forcing the flow toward the informal axes and acting as storage areas allowing the accumulation of groundwater (Ghiglieri et al, 2021). However, synform geometries with high clay and marl content are not pumped by deeper boreholes.…”

Section: Hydrogeological Correlationmentioning

confidence: 99%

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Hydrogeological characterization of the Complex Terminal aquifer using geoelectrical investigation in the arid environment of Chetma-Biskra (South-East of Algeria)

Kessasra

Mezerreg²,

Dehibi³

et al. 2023

AS-ITJGW

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As a transition hydrogeological area, Biskra (Algeria) holds large groundwater resources in deeply buried aquifers such as the Complex Terminal. Due to a growing demand of drinking water supply and irrigation combined to low recharge, this arid region is facing an acute shortage of water and hence, the need for groundwater investigation. We used an integrated approach including geophysical investigation correlated to the geological and hydrogeological context in the Chetma area. The results highlight a deep structural form with significant hydrogeological features. In fact, two resistant limestone anticlines called Droh corresponding to a piezometric dome and a syncline filled with conductive deposit materials were identified. The Maastrichtian formation, consisting of fractured limestone, about 200 to 350 m thick, together with Lower Eocene marl limestone and limestone form a complex aquifer. At more than 400 m depth, boreholes capturing Maastrichtian limestone offer a high yield ranging from 25 to 90 L/s. Moreover, groundwater yield provides an average of 40 L/s at 300 m of depth. In contrast, synform geometries with high clay and marl content offer a weak groundwater yield. We confirmed the occurence of fractured aquifers which could constitute potentially groundwater production zones. This study provides new insights to enhance groundwater pumping for domestic and irrigation purposes for 2030.

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Section: Hydrogeological Correlationmentioning

confidence: 88%

Section: Hydrogeological Settingmentioning

confidence: 90%

Section: Hydrogeological Correlationmentioning

confidence: 99%

Section: Hydrogeological Correlationmentioning

confidence: 99%

See 2 more Smart Citations

Hydrogeological characterization of the Complex Terminal aquifer using geoelectrical investigation in the arid environment of Chetma-Biskra (South-East of Algeria)

Kessasra

Mezerreg²,

Dehibi³

et al. 2023

AS-ITJGW

View full text Add to dashboard Cite

show abstract

“…The groundwater level (GWL) is a key parameter required to quantify groundwater resources. The accurate and reliable prediction of the GWL is fundamental for evaluating the groundwater availability and effective management of the irrigation schedules [8,9]. Similar to other arid regions globally, the Jiuquan basin has experienced a general groundwater deterioration in both storage and sustainability [10].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Predictive Framework for Groundwater Level Forecast in Arid Irrigated Areas

Liu

Yang

et al. 2021

Water

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An accurate groundwater level (GWL) forecast at multi timescales is vital for agricultural management and water resource scheduling in arid irrigated areas such as the Hexi Corridor, China. However, the forecast of GWL in these areas remains a challenging task owing to the deficient hydrogeological data and the highly nonlinear, non-stationary and complex groundwater system. The development of reliable groundwater level simulation models is necessary and profound. In this study, a novel ensemble deep learning GWL predictive framework integrating data pro-processing, feature selection, deep learning and uncertainty analysis was constructed. Under this framework, a hybrid model equipped with currently the most effective algorithms, including the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) for data decomposition, the genetic algorithm (GA) for feature selection, the deep belief network (DBN) model, and the quantile regression (QR) for uncertainty evaluation, denoted as CEEMDAN-GA-DBN, was proposed for the 1-, 2-, and 3-month ahead GWL forecast at three GWL observation wells in the Jiuquan basin, northwest China. The capability of the CEEMDAN-GA-DBN model was compared with the hybrid CEEMDAN-DBN and the standalone DBN model in terms of the performance metrics including R, MAE, RMSE, NSE, RSR, AIC and the Legates and McCabe’s Index as well as the uncertainty criterion including MPI and PICP. The results demonstrated the higher degree of accuracy and better performance of the objective CEEMDAN-GA-DBN model than the CEEMDAN-DBN and DBN models at all lead times and all the wells. Overall, the CEEMDAN-GA-DBN reduced the RMSE of the CEEMDAN-DBN and DBN models in the testing period by about 9.16 and 17.63%, while it improved their NSE by about 6.38 and 15.32%, respectively. The uncertainty analysis results also affirmed the slightly better reliability of the CEEMDAN-GA-DBN method than the CEEMDAN-DBN and DBN models at the 1-, 2- and 3-month forecast horizons. The derived results proved the ability of the proposed ensemble deep learning model in multi time steps ahead of GWL forecasting, and thus, can be used as an effective tool for GWL forecasting in arid irrigated areas.

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Groundwater salinity modeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria

Boudibi,

Fadlaoui,

Hiouani

et al. 2024

Environ Sci Pollut Res

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Using a multi-disciplinary approach to characterize groundwater systems in arid and semi-arid environments: The case of Biskra and Batna regions (NE Algeria)

Cited by 10 publications

References 32 publications

Hydrogeological characterization of the Complex Terminal aquifer using geoelectrical investigation in the arid environment of Chetma-Biskra (South-East of Algeria)

Hydrogeological characterization of the Complex Terminal aquifer using geoelectrical investigation in the arid environment of Chetma-Biskra (South-East of Algeria)

Deep Learning-Based Predictive Framework for Groundwater Level Forecast in Arid Irrigated Areas

Groundwater salinity modeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria

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