Hybridization of DRASTIC Method to Assess Future GroundWater Vulnerability Scenarios: Case of the Tebessa-Morsott Alluvial Aquifer (Northeastern Algeria)

被引:3
|
作者
Boufekane, Abdelmadjid [1 ]
Belloula, Moufida [2 ]
Busico, Gianluigi [3 ]
Drias, Tarek [4 ]
Reghais, Azzeddine [5 ]
Maizi, Djamel [1 ]
机构
[1] Univ Sci & Technol Houari Boumediene, Fac Earth Sci & Country Planning, Dept Geol, Geoenvironm Lab, Algiers 16111, Algeria
[2] Batna 2 Univ, Nat Risks & Land Use Lab, Dept Geog & Reg Planning, Fesdis 05078, Batna, Algeria
[3] Campania 7 Univ Luigi Vanvitelli, DiSTABiF Dept Environm Biol & Pharmaceut Sci & Te, Via Vivaldi 43, I-81100 Caserta, Italy
[4] Batna 2 Univ, Dept Geol, Mobilizat & Water Resources Management Lab, Batna 05078, Algeria
[5] Univ Mohamed Sedd Benyahia, Geol Engn Lab, Ouled Aissa 18000, Jijel, Algeria
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 18期
关键词
aquifer vulnerability; DRASTIC method; numerical model; MODFLOW; prediction; HUMAN HEALTH; POLLUTION; PLAIN; WATER; RISK; OVERLAY;
D O I
10.3390/app12189205
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this study, a new approach integrating a groundwater vulnerability method and a numerical model for predicting groundwater resource sustainability under actual and future conditions of exploitation (2010-2030) is proposed in the semi-arid region of the Tebessa-Morsott alluvial aquifer (northeastern Algeria). The groundwater vulnerability method-based DRASTIC model was used to evaluate and delineate the vulnerable areas using a GIS technique. The MODFLOW code, on the other hand, was used to calculate the dynamics of groundwater level under actual and future conditions of exploitation considering two scenarios. The results of the application of the DRASTIC method to the reference year conditions (year 2010) showed that the high and average vulnerability classes covered a wide zone of the study area, about 97%. These results were validated based on the nitrate concentration values (R-2 = 0.955). However, the results for predicting future groundwater vulnerability showed that groundwater vulnerability variation over time (period 2010-2030) was closely related to groundwater depth variation caused by the pumping rate, since the decreases in the piezometric level produce a worsening of groundwater vulnerability. To achieve better groundwater management, an experimental site for artificial recharge supplemented by hydro-chemical monitoring of the groundwater could be an effective remediation strategy.
引用
收藏
页数:19
相关论文
共 9 条
  • [1] Groundwater modelling of the Tebessa-Morsott alluvial aquifer (northeastern Algeria): A geostatistical approach
    Drias, Tarek
    Khedidja, Abdelhamid
    Belloula, Moufida
    Badraddine, Saadali
    Saibi, Hakim
    GROUNDWATER FOR SUSTAINABLE DEVELOPMENT, 2020, 11
  • [2] Application of drastic method for determining the vulnerability of an alluvial aquifer: Morsott - El Aouinet north east of Algeria: using arcgis environment
    Abdeslam, Ilhem
    Fehdi, Chemseddine
    Djabri, Larbi
    INTERNATIONAL CONFERENCE ON TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY, TMREES17, 2017, 119 : 308 - 317
  • [3] Contribution of hydrochemistry to the characterization and assessment of groundwater resources: the case of Tebessa alluvial aquifer (Algeria)
    Sedrati, Nassima
    Djabri, Larbi
    EVOLVING WATER RESOURCES SYSTEMS: UNDERSTANDING, PREDICTING AND MANAGING WATER-SOCIETY INTERACTIONS, 2014, 364 : 458 - 463
  • [4] Assessment of groundwater vulnerability to pollution using DRASTIC and the SI methods: case of the alluvial aquifer in Tadjenanet- Chelghoum laid (East Algeria)
    Khedidja, Abdelhamid
    Drias, Tarek
    Reghais, Azzeddine
    ACQUE SOTTERRANEE-ITALIAN JOURNAL OF GROUNDWATER, 2023, 12 (02): : 37 - 47
  • [5] Robustness of DRASTIC Method for Groundwater Vulnerability Case of Wadi Nil Aquifer in Jijel, NE Algeria
    Mahdid, Souhil
    Chabour, Nabil
    Debieche, Taha-Hocine
    Drouiche, Abdelmalek
    Pistre, Severin
    INDONESIAN JOURNAL OF GEOSCIENCE, 2022, 9 (02): : 229 - 246
  • [6] Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran
    Baghapour, Mohammad Ali
    Nobandegani, Amir Fadaei
    Talebbeydokhti, Nasser
    Bagherzadeh, Somayeh
    Nadiri, Ata Allah
    Gharekhani, Maryam
    Chitsazan, Nima
    JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE AND ENGINEERING, 2016, 14
  • [7] Groundwater vulnerability mapping using the Susceptibility Index (SI) method: Case study of Takelsa aquifer, Northeastern Tunisia
    Ghouili, Nesrine
    Jarraya-Horriche, Faten
    Hamzaoui-Azaza, Fadoua
    Zaghrarni, Mohamed Faouzi
    Ribeiro, Luis
    Zammouri, Mounira
    JOURNAL OF AFRICAN EARTH SCIENCES, 2021, 173
  • [8] A supervised committee machine artificial intelligent for improving DRASTIC method to assess groundwater contamination risk: a case study from Tabriz plain aquifer, Iran
    Barzegar, Rahim
    Moghaddam, Asghar Asghari
    Baghban, Hamed
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2016, 30 (03) : 883 - 899
  • [9] A novel method of sensitivity analysis testing by applying the DRASTIC and fuzzy optimization methods to assess groundwater vulnerability to pollution: the case of the Senegal River basin in Mali
    Souleymane, Keita
    Tang Zhonghua
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2017, 17 (08) : 1375 - 1392