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Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions

Author

Listed:
  • Hanane Rhomad

    (Cadi Ayyad University)

  • Karima Khalil

    (Cadi Ayyad University)

  • Khalid Elkalay

    (Cadi Ayyad University)

Abstract

Atlantic region is increasingly facing water quality issues as a result of many challenges, such as climate change and increasing urbanization. A promising way to addressing such items is by implementing water quality models (WQMs). Although, publications are increasing considerably in numbers, perhaps, we identified a shortage of bibliometric reviews based on the analysis of bibliographic data. To address this gap, descriptive statistics and bibliometric analyses using VOSviewer based on Scopus dataset is adopted to summarizes state of the art on the WQMing applications within the Atlantic region. First, a categorisation of the existent literature, founded on number of bibliometric data are critically analyzed based on a review of 1952 publications (2548 individual modelling applications) published between 1981 and 2021. Citations, co-authorship, and co-occurrence of words are exploited. Next, emerging trends such as the model types, modeled water body, modeled areas are spotted in the analysis. The meta-analysis reveals that applications of semi-empirical modeling frame-works (SWAT, 22.4%) dominate those of models for addressing water quality issues. Most of modelling applications have addressed watershed system (72.15%). Northwest and Northeast Atlantic have received the greatest attention, mostly the United States of America (41.64%). Additionally, a qualitative discussion is provided comparing the model dimensions, system, conceptualization, strengths, applications, and limitations. Finally, we provided the main impediments and suggested recommendations for enhancing WQMing science, infrastructure, and practices. These include the improvement in data availability, bridging gaps between experimentalists, modelers and stakeholders.

Suggested Citation

  • Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:1:d:10.1007_s11269-022-03382-z
    DOI: 10.1007/s11269-022-03382-z
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    1. Nees Jan Eck & Ludo Waltman, 2017. "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1053-1070, May.
    2. Asbury H. Sallenger & Kara S. Doran & Peter A. Howd, 2012. "Hotspot of accelerated sea-level rise on the Atlantic coast of North America," Nature Climate Change, Nature, vol. 2(12), pages 884-888, December.
    3. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    4. Andreas Strotmann & Dangzhi Zhao, 2012. "Author name disambiguation: What difference does it make in author-based citation analysis?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(9), pages 1820-1833, September.
    5. Bae, Sunim & Seo, Dongil, 2021. "Changes in algal bloom dynamics in a regulated large river in response to eutrophic status," Ecological Modelling, Elsevier, vol. 454(C).
    6. Peter van den Besselaar & Gaston Heimeriks, 2006. "Mapping research topics using word-reference co-occurrences: A method and an exploratory case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 377-393, September.
    7. Tingting Liu & Randall J. F. Bruins & Matthew T. Heberling, 2018. "Factors Influencing Farmers’ Adoption of Best Management Practices: A Review and Synthesis," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    8. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    9. Jiang, Long & Li, Yiping & Zhao, Xu & Tillotson, Martin R. & Wang, Wencai & Zhang, Shuangshuang & Sarpong, Linda & Asmaa, Qhtan & Pan, Baozhu, 2018. "Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China," Ecological Modelling, Elsevier, vol. 375(C), pages 1-12.
    10. Akomeah, Eric & Lindenschmidt, Karl-Erich & Chapra, Steven C., 2019. "Comparison of aquatic ecosystem functioning between eutrophic and hypereutrophic cold-region river-lake systems," Ecological Modelling, Elsevier, vol. 393(C), pages 25-36.
    11. Terry, Julie A. & Sadeghian, Amir & Baulch, Helen M. & Chapra, Steven C. & Lindenschmidt, Karl-Erich, 2018. "Challenges of modelling water quality in a shallow prairie lake with seasonal ice cover," Ecological Modelling, Elsevier, vol. 384(C), pages 43-52.
    12. Chung, S.W. & Imberger, J. & Hipsey, M.R. & Lee, H.S., 2014. "The influence of physical and physiological processes on the spatial heterogeneity of a Microcystis bloom in a stratified reservoir," Ecological Modelling, Elsevier, vol. 289(C), pages 133-149.
    13. Gomez-Jauregui, Valentin & Gomez-Jauregui, Cecilia & Manchado, Cristina & Otero, Cesar, 2014. "Information management and improvement of citation indices," International Journal of Information Management, Elsevier, vol. 34(2), pages 257-271.
    14. Zhang, Zhonglong & Sun, Bowen & Johnson, Billy E., 2015. "Integration of a benthic sediment diagenesis module into the two dimensional hydrodynamic and water quality model – CE-QUAL-W2," Ecological Modelling, Elsevier, vol. 297(C), pages 213-231.
    15. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    16. Kohlmeier, C. & Ebenhöh, W., 2007. "Modelling the ecosystem dynamics and nutrient cycling of the Spiekeroog back barrier system with a coupled Euler–Lagrange model on the base of ERSEM," Ecological Modelling, Elsevier, vol. 202(3), pages 297-310.
    17. Huang, Shaochun & Hesse, Cornelia & Krysanova, Valentina & Hattermann, Fred, 2009. "From meso- to macro-scale dynamic water quality modelling for the assessment of land use change scenarios," Ecological Modelling, Elsevier, vol. 220(19), pages 2543-2558.
    18. Zhaofu Li & Chuan Luo & Kaixia Jiang & Rongrong Wan & Hengpeng Li, 2017. "Comprehensive Performance Evaluation for Hydrological and Nutrients Simulation Using the Hydrological Simulation Program–Fortran in a Mesoscale Monsoon Watershed, China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    19. Cibele Oliveira Lima & Jarbas Bonetti, 2020. "Bibliometric analysis of the scientific production on coastal communities’ social vulnerability to climate change and to the impact of extreme events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1589-1610, July.
    20. Rhomad, Hanane & Khalil, Karima & Neves, Ramiro & Bougadir, Blaid & Elkalay, Khalid, 2021. "Modeling investigation of the nutrients and phytoplankton dynamics in the Moroccan Atlantic coast: A case study of Agadir coast," Ecological Modelling, Elsevier, vol. 447(C).
    21. Burger, David F. & Hamilton, David P. & Pilditch, Conrad A., 2008. "Modelling the relative importance of internal and external nutrient loads on water column nutrient concentrations and phytoplankton biomass in a shallow polymictic lake," Ecological Modelling, Elsevier, vol. 211(3), pages 411-423.
    22. Grechi, Laura & Franco, Antonio & Palmeri, Luca & Pivato, Alberto & Barausse, Alberto, 2016. "An ecosystem model of the lower Po river for use in ecological risk assessment of xenobiotics," Ecological Modelling, Elsevier, vol. 332(C), pages 42-58.
    23. Sascha Kraus & Matthias Breier & Sonia Dasí-Rodríguez, 2020. "The art of crafting a systematic literature review in entrepreneurship research," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 1023-1042, September.
    24. Zouiten, Hala & Díaz, César Álvarez & Gómez, Andrés García & Cortezón, José Antonio Revilla & Alba, Javier García, 2013. "An advanced tool for eutrophication modeling in coastal lagoons: Application to the Victoria lagoon in the north of Spain," Ecological Modelling, Elsevier, vol. 265(C), pages 99-113.
    25. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    26. Andreas Strotmann & Dangzhi Zhao, 2012. "Author name disambiguation: What difference does it make in author‐based citation analysis?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(9), pages 1820-1833, September.
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