Contribution of remote sensing and GIS to mapping groundwater vulnerability in arid zone: Case from Amour Mountains- Algerian Saharan Atlas

Kerzabi, Rachid; Mansour, Hamidi; Yousfi, Somia; Marín, Ana Isabel; Navarro, Bartolomé Andreo; Bensefia, Kamar Eddine

doi:10.1016/j.jafrearsci.2021.104277

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…Computer automatic classification and visual interpretation are two main methods in image classification [ 49 , 50 ]. To improve the efficiency and reliability of data extraction, the human-computer interaction method combining computer automatic classification and visual interpretation is widely adopted in image classification of complex areas and comprehensive zoning research [ 51 , 52 ]. In this paper, the ecological and geology–geomorphological division is abbreviated as eco–geological division.…”

Section: Methodsmentioning

confidence: 99%

Coupling coordination relationship between geology–geomorphology and ecology in Northeast China

Tao

Jiang

Shi³

et al. 2022

PLoS ONE

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Northeast China is an important ecological barrier and commodity grain base in China. The coupling coordination relationship between geology–geomorphology and ecology has become a critical background condition for ecosystem protection and sustainable development. Taking Northeast China as a case (accounting for about 13% of China’s land area), 9 divisions are divided according to the characteristics of regional ecology and geology–geomorphology, and 17 indicators are selected to build an evaluation index system. Methods of analytic hierarchy process, entropy weight and game theory are used to determine the index weights. Based on the coupling coordination degree (CCD) model, the spatial coupling coordination characteristics of geology–geomorphology and ecology are studied. The variation characteristics of the Normalized Difference Vegetation Index (NDVI) are evaluated by Sen+Mann–Kendall (Sen+MK) method. Our results are as follows. (1) The coupling between geology–geomorphology and ecology is strong, but the spatial differentiation of CCD is obvious. Nine divisions are evaluated as two high–level, three medium–level and three low–level coordination types and one mild imbalance type. (2) The plain divisions Ⅰ and Ⅳ where the typical black soil belt is located are high coordination types. Restricted by geology–geomorphological conditions or ecological conditions, mountain divisions Ⅲ and Ⅶ and plain division Ⅴ are moderate coordination types, mountain divisions Ⅱ and Ⅷ and plateau division Ⅸ are low coordination types, and mountain division Ⅵ is mild imbalance type. (3) The variation trend of NDVI shows a significant increase in divisions Ⅲ, Ⅴ, Ⅰ, Ⅱ and Ⅶ. it shows a significant decrease in part of divisions Ⅳ, Ⅵ, Ⅷ and Ⅸ, and ecological management and construction should be strengthened in these divisions. The research shows that the CCD model method is feasible for evaluating the relationship between geology–geomorphology and ecology and can provide eco–geological background information for Northeast China.

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Section: Methodsmentioning

confidence: 99%

Coupling coordination relationship between geology–geomorphology and ecology in Northeast China

Tao

Jiang

Shi³

et al. 2022

PLoS ONE

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“…The pairwise comparison matrix is created using the techniques outlined in the preceding section. Weights and rates are chosen based on the work of numerous researchers (Kerzabi et al, 2021).…”

Section: Groundwater Prospects Zonesmentioning

confidence: 99%

Groundwater potential mapping using the integration of AHP method, GIS and remote sensing: a case study of the Tabelbala region, Algeria

et al. 2022

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Recently, groundwater resources are assessed and evaluated using Geographic Information System (GIS) and remote sensing technologies due to their effectiveness and wide spatial coverage. This work aims to identify groundwater potential areas in the Tabelbala region which lies in the Algerian desert in order to help for the solution of water resources shortages. GIS and remote sensing are employed in the preparation of the controlling factors such as lithology, lineaments, drainage network, slope, land use/land cover, topographic wetness index, and elevation. Statistical Analysis, as well as interpretation of remote sensing data, allow the extraction of important features about the study area and its characteristics. The prepared layers are combined with multicriteria analysis to identify the groundwater potential zones (GWPZs) based on their statistical weights. To validate the conducted work, 222 wells/boreholes are collected and prepared to assess the potential areas. Results reveal that the very good potentiality class covers approximately 8.81% of the total area while 6.47% shows very poor potentiality. In addition, the application of the ROC curve shows an AUC of 89% which reveals the effectiveness of the proposed approach. The final resulting map can be used for the identification of suitable sites for wells implantation.

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Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques

2022

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Contribution of remote sensing and GIS to mapping groundwater vulnerability in arid zone: Case from Amour Mountains- Algerian Saharan Atlas

Cited by 5 publications

References 21 publications

Coupling coordination relationship between geology–geomorphology and ecology in Northeast China

Coupling coordination relationship between geology–geomorphology and ecology in Northeast China

Groundwater potential mapping using the integration of AHP method, GIS and remote sensing: a case study of the Tabelbala region, Algeria

Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques

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