Log in

Management of groundwater exploitation in Algeria: scalable decision support system based on data lake

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

A Correction to this article was published on 03 October 2023

This article has been updated

Abstract

Nowadays, the only source of water in the Algerian Sahara is groundwater. This source, unique and fossil, knows overexploitation and anarchic management of the wells carried out in these aquifers for needs like drinking water, irrigation, and industrial. Therefore, its management in Algeria represents a crucial problem because of its impact on the environment and human life. This paper presents an extensible, scalable, agile, and incremental decision support system allowing the management of this groundwater in Algeria based on data lake, a new concept of big data. The developed system comprises three parts: data collection, data processing, and storage in the data lake and restitution of this data in a dashboard and map**. To conclude, this system can help to provide better visibility to Algerian decision-makers allowing optimal management of this vital source with the ultimate goal of improving the life of Algerian citizens.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

Data availability

The datasets generated and analyzed during the current study are not publicly available due the fact that they constitute an excerpt of research in progress.

Change history

References

  • Ahmad S, Simonovic SP (2006) An intelligent decision support system for management of floods. Water Resour Manag 20(3):391–410

    Article  Google Scholar 

  • AKCA MA, Aydoğan T, İlkuçar M (2016) An analysis on the comparison of the performance and configuration features of big data tools Solr and Elasticsearch. International Journal of Intelligent Systems and Applications in Engineering, 8–12

  • Aloui D, Chekirbane A, Stefan C et al (2022) Use of a GIS-multi-criteria decision analysis and web-based decision support tools for map** and sharing managed aquifer recharge feasibility in Enfidha plain, NE of Tunisia. Arab J Geosci 15(7):1–15

    Article  Google Scholar 

  • Couto J, Borges OT, Ruiz DD et al (2019) A map** study about data lakes: an improved definition and possible architectures. In: SEKE, 453–578

  • Dzemydienė D, Maskeliūnas S, Jacobsen K (2008) Sustainable management of water resources based on web services and distributed data warehouses. Technol Econ Dev Econ 14(1):38–50

    Article  Google Scholar 

  • Felisa G, Panini G, Pedrazzoli P et al (2022) Combined management of groundwater resources and water supply systems at basin scale under climate change. Water Resour Manag, 1–16

  • Fitz-Gibbon CT (1990) Performance indicators, vol 2. Multilingual Matters

  • Gaafar H, Dakhly A, Elhakim A (2022) Digital transformation solution for identification of geotechnical parameters using statistical data analysis. ERJ Eng Res J 45(1):89–99

    Article  Google Scholar 

  • Giupponi C (2007) Decision support systems for implementing the European water framework directive: the Mulino approach. Environ Model Softw 22(2):248–258

    Article  Google Scholar 

  • Gu J, Tang X (2000) Designing a water resources management decision support system: an application of the WSR approach. Syst Pract Action Res 13(1):59–70

    Article  Google Scholar 

  • Jallas E, Crétenet M (2003) Aide à la décision en agriculture et gestion des ressources naturelles: note introductive. In: Savanes africaines: des espaces en mutation, des acteurs face à de nouveaux défis., pp 8–p

  • Jao C (2011) Efficient decision support systems: practice and challenges from current to future. BoD–Books on Demand

  • Jarraya-Horriche F, Brahim HB, Slama F (2022) The compromise programming method to choose artificial recharge sites in Mornag aquifer (Tunisia). Arab J Geosci 15(16):1–14

    Article  Google Scholar 

  • Kachaoui J, Belangour A (2019) Challenges and benefits of deploying big data storage solution. Proceedings of the New Challenges in Data Sciences: Acts of the Second Conference of the Moroccan Classification Society, 1–5

  • Kahina Semar-Bitah KB (2016) Modélisation de la collaboration inter-organisationnelle : collecte de connaissances collaboratives. ISIA’16 - The Second Symposium of Informatics, M’Sila (Algeria)

  • Kharroubi M, Bouselsal B, Ouarekh M et al (2022) Water quality assessment and hydrogeochemical characterization of the Ouargla complex terminal aquifer (Algerian Sahara). Arab J Geosci 15(3):1–24

    Article  Google Scholar 

  • Kherchi A, Semar-Bitah K, Mouzai M et al (2019) Management of groundwater exploitation in Algeria: scalable decision support system based on web-map**. 3rd International Conference on Integrated Water Ressources Management, Batna, Algeria

  • Liu R, Isah H, Zulkernine F (2020) A big data lake for multilevel streaming analytics. 2020 1st International Conference on Big Data Analytics and Practices (IBDAP), 1–6

  • Madera C (2018) L’évolution des systèmes et architectures d’information sous l’influence des données massives: les lacs de données. Université Montpellier

  • MEJDI S (2009) Management of groundwater exploitation in Algeria: scalable decision support system based on web-map**. conférence Francophone ESRI SIG 2009, Versailles, France

  • Nouiri I (2014) Multi-objective tool to optimize the water resources management using genetic algorithm and the pareto optimality concept. Water Resour Manag 28(10):2885–2901

    Article  Google Scholar 

  • Poyet P, Detay M (1989) Hydrolab: Un système expert de poche en hydraulique villageoise. Tech et Sci Informatiques 8(2):157–167

    Google Scholar 

  • Prakash SS (2020) Evolution of data warehouses to data lakes for enterprise business intelligence. Evolution, 8(4)

  • Semar-Bitah K, Boukhalfa K (2019) Towards the meta-modeling of complex inter-organisationnel collaborative processes. Int J E-Business Research (IJEBR) 15(3):16–34

    Article  Google Scholar 

  • Semar-Bitah K, Boukhalfa K (2021) Knowledge management-based approach for inter-organisational collaborative processes modelling. Int J Bus Inf Syst 36(3):327–354

    Google Scholar 

  • Semar-Bitah K, Abbassene A (2014) Vers une architecture de modélisation des processus collaboratifs inter-organisationnels. Conférence SYSCO, volume 14

  • Semar-Bitah K, Boukhalfa K (2014) Proposed architecture for modeling an inter-organizational collaborative process. ESWC-SS’14-The 4th European Semantic Web Conference Summer School, ESWC-SS’14,Kalamaki (Greece)

  • Semar-Bitah K, Boukhalfa K (2015). Vers une plateforme d’aide à la modélisation de la collaboration inter-organisationnelle. Conférence Internationale sur le Traitement de l’Information Multimédia (CITIM’2015), Mascara, Algeria

  • Semar-Bitah K, Boukhalfa K (2016) Towards an inter-organizational collaboration network characterization. Modelling and Implementation of Complex Systems, 233–248. Springer

  • Semar-Bitah K, Tarabet C, Mouzai M et al (2019) Scalable proposed decision support system: Algerian economic investment support. Proceedings of the 9th International Conference on Information Systems and Technologies, 1–4

  • Srivastava A (2019) Kibana 7 quick start guide: visualize your elasticsearch data with ease. Packt Publishing Ltd

  • Zeng Y, Cai Y, Jia P et al (2012) Development of a web-based decision support system for supporting integrated water resources management in Daegu City, South Korea. Expert Syst Appl 39(11):10091–10102

    Article  Google Scholar 

Download references

Acknowledgements

This work is a part of the SADIE project (15/CDTA/DGRSDT) which is supported by Direction Générale de la Recherche Scientifique et du Développement Technologique and conducted at Centre de Développement des Technologies Avancées. We thank our colleagues from the CDTA, USTHB, and UKMO who participated from far or near in this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kahina Semar-Bitah.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Responsible Editor: Biswajeet Pradhan.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original online version of this article was revised: In the original version of this article, the given and family names of all authors were interchanged. Given here are the corrected author names

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Semar-Bitah, K., Mouzai, M., Kherchi, M. et al. Management of groundwater exploitation in Algeria: scalable decision support system based on data lake. Arab J Geosci 16, 536 (2023). https://doi.org/10.1007/s12517-023-11609-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-023-11609-5

Keywords

Navigation