Satellite remote sensing and GIS-based multi-criteria analysis for the assessment of groundwater potentiality in fractured limestone aquifer: Case study of Maknassy Basin, central Tunisia

Smida, Habib; Dassi, Lassâad; Boukhachem, Khaoula; Masrouhi, Amara

doi:10.1016/j.jafrearsci.2022.104643

Cited by 9 publications

(10 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This stratagem sets the stage for optimizing water use, pinpointing high-yield drilling locations, and crafting sustainable extraction strategies. This approach has garnered widespread acceptance for delineating potential groundwater storage zones, identifying high-yield drilling sites, and recognizing reservoirs (Abdullateef et al, 2021;Akkari and Douha, 2022;Andualem and Demeke, 2019;Arshad et al, 2020;Godif and Manjunatha, 2023;Kamaraj et al, 2023;Kaur et al, 2020;Krishnamurthy et al, 2000;Kumar et al, 2022;Nithya et al, 2019;Panahi et al, 2020;Sarwar et al, 2021;Serele et al, 2020;Smida et al, 2022;Thanh et al, 2022;Tolche, 2021;Upwanshi et al, 2023;Zhu and Abdelkareem, 2021).…”

Section: Introductionmentioning

confidence: 99%

Identification of Optimal Groundwater Storage Sites in a Semi-Arid Region: A GIS-Based Analytic Hierarchy Process (AHP) Approach

Qadem,

Abduljaleel,

Amiri

et al. 2024

Preprint

View full text Add to dashboard Cite

Groundwater became a key solution for satisfying water demand for billions of people in many arid and semi-arid regions where climate change has left its negative mark. That poses the necessity of identifying the potential groundwater storage sites to ensure sustainable aquifers. Water resources' availability conditions have a major impact on the socio-economic status of the area, which reflects the necessity of ensuring sustainable water resources, especially groundwater. This study aims to explore potential areas for groundwater storage in the Saïs Plateau and its middle Atlas borders in Morocco using advanced methods such as Remote Sensing (RS) data managed in a Geographic Information System (GIS). The methodology used for evaluation integrates sophisticated methods such as the Analytic Hierarchy Process (AHP) to assess the impact of relevant parameters (precipitation, lithology, rock fractures, and topography) on storage potential. The results reveal significant disparities in storage capacity between the studied regions, highlighting the major influence of climatic and geographical conditions. Areas with high storage potential are mainly concentrated in the Middle Atlas, benefiting from more permeable rocks and abundant precipitation. In contrast, the Saïs Plateau has a more limited storage capacity due to its local geological conditions and lower precipitation levels. This study provides valuable insights for strategic planning of groundwater management, not only as a model for the studied region but also for other regions facing similar challenges of climate change and population growth.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification of Optimal Groundwater Storage Sites in a Semi-Arid Region: A GIS-Based Analytic Hierarchy Process (AHP) Approach

Qadem,

Abduljaleel,

Amiri

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Another important factor consists in the quality of image, coverage extent, cloudiness and haze. Major image types are widely used for effective environmental monitoring and include Landsat [10][11][12], Advanced Very High Resolution Radiometer (AVHRR) [13], Google Earth [14], Moderate Resolution Imaging Spectroradiometer (MODIS) [15,16] and the combinations thereof [17]. Examples of very high resolution data include such images as Quickbird [18], Satellite Pour l'Observation de la Terre (SPOT) with spatial resolution ranging from 2.5 to 5 m in panchromatic mode, 10 m in multispectral mode and 20 m on short wave infrared mode, Sentinel-2 mission with spatial resolution of 10 m in four bands, 20 m in six bands and 60 m in three bands, and a swath width of 290 km), and Ikonos imagery with spatial resolution of 0.80 m in panchromatic and 3.2 m in multispectral bands [19].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

Monitoring Seasonal Fluctuations in Saline Lakes of Tunisia Using Earth Observation Data Processed by GRASS GIS

Lemenkova

2023

Land

View full text Add to dashboard Cite

This study documents the changes in the Land Use/Land Cover (LULC) in the region of saline lakes in north Tunisia, Sahara Desert. Remote sensing data are a valuable data source in monitoring LULC in lacustrine landscapes, because variations in the extent of lakes are visible from space and can be detected on the images. In this study, changes in LULC of the salt pans of Tunisia were evaluated using a series of 12 Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared (TIRS) images. The images were processed with the Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS) software. The study area included four salt lakes of north Tunisia in the two regions of the Gulf of Hammamet and Gulf of Gabès: (1) Sebkhet de Sidi el Hani (Sousse Governorate), (2) Sebkha de Moknine (Mahdia Governorate), (3) Sebkhet El Rharra and (4) Sebkhet en Noual (Sfax). A quantitative estimate of the areal extent analysed in this study is 182 km × 185 km for each Landsat scene in two study areas: Gulf of Hammamet and Gulf of Gabès. The images were analysed for the period 2017–2023 on months February, April and July for each year. Spatio-temporal changes in LULC and their climate–environmental driving forces were analysed. The results were interpreted and the highest changes were detected by accuracy assessment, computing the class separability matrices, evaluating the means and standard deviation for each band and plotting the reject probability maps. Multi-temporal changes in LULC classes are reported for each image. The results demonstrated that changes in salt lakes were determined for winter/spring/summer months as detected changes in water/land/salt/sand/vegetation areas. The accuracy of the classified images was evaluated using pixel rejection probability values, which were filtered out using the ‘r.mapcalc’ module of GRASS GIS. The confidence levels were computed and visualised with a series of maps along with the error matrix and measured convergence level of classified pixels. This paper contributes to the environmental monitoring of Tunisian landscapes and analysis of climate effects on LULC in landscapes of north Africa.

show abstract

“…These have resulted not only in reduced water availability but also in deteriorating water quality [16,17]. Indeed, the degradation of groundwater quality and salinization of soils are the main threats to the sustainable use of natural resources [18][19][20]. However, the sustainability of agricultural production is, furthermore, threatened by the emerging salinization issues of fertile lands, inducing progressive abandonment of several managed perimeters.…”

Section: Introductionmentioning

confidence: 99%

“…Groundwater and soil efficient management are therefore highly required for this region to maintain the productivity of agriculture and consequently to secure the livelihood of the local population. In this study, we use hydrochemical studies of groundwater to determine the processes that govern the chemistry and quality of groundwater [21][22][23][24][25], and the study of environmental isotopes of oxygen (δ 18 O) and hydrogen (δ 2 H), which are excellent tracers for determining the origin of groundwater and are widely used to study groundwater supply, migration routes, and mixing of water from different sources [15,19]. Additionally, the different isotopic compositions of hydrogen and oxygen from different water sources and the stable isotopic ratios of hydrogen and oxygen (δ 18 O and δ 2 H) are excellent ways to determine the way to recharge and discharge groundwater [15].…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we use hydrochemical studies of groundwater to determine the processes that govern the chemistry and quality of groundwater [21][22][23][24][25], and the study of environmental isotopes of oxygen (δ 18 O) and hydrogen (δ 2 H), which are excellent tracers for determining the origin of groundwater and are widely used to study groundwater supply, migration routes, and mixing of water from different sources [15,19]. Additionally, the different isotopic compositions of hydrogen and oxygen from different water sources and the stable isotopic ratios of hydrogen and oxygen (δ 18 O and δ 2 H) are excellent ways to determine the way to recharge and discharge groundwater [15]. The objectives of this study cover various water issues in The Maknessy basin related to groundwater flow migration, mixing and potential recharge areas, water suitability assessment for particular uses, and mineralization processes and mechanisms via geochemical modeling, statistical analysis, and isotopic characterization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hydrogeochemical and Stable Isotope Data of the Groundwater of a Multi-Aquifer System in the Maknessy Basin (Mediterranean Area, Central Tunisia)

et al. 2023

View full text Add to dashboard Cite

The Maknessy plain in central Tunisia is one of the most important agricultural basins in Tunisia. Given the semi-arid climate conditions, the irrigation of cultivated crops relies principally on the abstraction from groundwater resources. The assessment of the quality of the used water for agricultural purposes is crucial for safe production. Thus, the objective of this work is to assess the physicochemical quality of the irrigation water resources in this catchment area using a combined chemical, isotopic, and statistical approach. The waters analyzed are represented by two types of groundwater, mainly calcium hyper chloride and calcium sulfate. A multivariate statistical analysis (PCA and HCA) and a geochemical approach have been applied to study water quality as a function of chemical parameters, showing that the EC and TDS are the parameters influencing water quality. The stable isotopic compositions of the sampled waters range from −7.53 to −4.90% vs. VSMOW and from −53.6 to −32.2% vs. VSMOW for δ18O and δ2H; they show the exchange between groundwater and rock and the evaporation effect. The isotopic data form three groups such as recent water, paleowater, and mixing water indicate the evaporation effect and interaction of the groundwater, and confirm that this aquifer has been recharged by current rainwater. So, these aquifers were recharged by precipitation derived from a mixture of cloud masses from the Atlantic Ocean and the Mediterranean Sea. The findings of this research are of important relevance for effective water resources management in this agro-based region. Indeed, the increased exploitation of these resources will induce a continuous reduction in the available resources and progressive degradation of the used water quality that may adversely impact the safe agricultural production and the economic resilience of the local population.

show abstract

Satellite remote sensing and GIS-based multi-criteria analysis for the assessment of groundwater potentiality in fractured limestone aquifer: Case study of Maknassy Basin, central Tunisia

Cited by 9 publications

References 75 publications

Identification of Optimal Groundwater Storage Sites in a Semi-Arid Region: A GIS-Based Analytic Hierarchy Process (AHP) Approach

Identification of Optimal Groundwater Storage Sites in a Semi-Arid Region: A GIS-Based Analytic Hierarchy Process (AHP) Approach

Monitoring Seasonal Fluctuations in Saline Lakes of Tunisia Using Earth Observation Data Processed by GRASS GIS

Hydrogeochemical and Stable Isotope Data of the Groundwater of a Multi-Aquifer System in the Maknessy Basin (Mediterranean Area, Central Tunisia)

Contact Info

Product

Resources

About