Skip to main content
Log in

Development of a watershed information system for a vulnerable basin: the case of Ergene basin

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

The increasing stress on water resources in the last few decades poses a risk in terms of water quality and quantity. Eliminating these risks and bringing watersheds to a better level are important targets. These goals can only be achieved through effective watershed management involving stakeholders. This study aims to provide more effective watershed management by establishing a web-based system that can support decision-makers in watershed management and involve stakeholders in the management. The Ergene basin, one of Turkey’s most populated basins, has been adversely affected by pollution for nearly five decades. The Ergene Watershed Information System (EWIS) was designed as a system to support decision-makers during the management of the Ergene basin. The Ergene Watershed Information System stores water-related (meteorological, hydrometric, and water quality) historical data and scenario analysis data obtained from modeling tools while preserving data integrity. The system can present these data to users individually or comparatively via its visualization component. The system also has the infrastructure to integrate external data or transfer data to external stakeholders. In addition, there is a warning mechanism that informs users in case the parameter defined in the system is exceeded. Finally, it should also be noted that the watershed information system can easily be adapted to different basins.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91

    Article  Google Scholar 

  • Alabbad Y, Yildirim E, Demir I (2022) Flood mitigation data analytics and decision support framework: Iowa Middle Cedar Watershed case study. Sci Total Environ 814:152768

    Article  CAS  Google Scholar 

  • Ata R, Yıldız Töre G (2019) Characterization and removal of antibiotic residues by NFC-doped photocatalytic oxidation from domestic and industrial secondary treated wastewaters in Meric-Ergene Basin and reuse assessment for irrigation. J Environ Manage 233:673–680

    Article  CAS  Google Scholar 

  • Boyraz C, Engin SN (2018) Streamflow Prediction with Deep Learning. In: 6th International Conference on Control Engineering and Information Technologies, İstanbul, Turkey

  • Celen M, Oruc HN, Adiller A, Yıldız Töre G, Onkal Engin G (2022) Contribution for pollution sources and their assessment in urban and industrial sites of Ergene River Basin. Turkey Int J Environ Sci Technol 19:11789–11808

    Article  Google Scholar 

  • Chesapeake Bay Program (2019) Chesapeake Assessment and Scenario Tool (CAST) Version 2019. Available at https://cast.chesapeakebay.net/

  • European Commission (2000) Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 on establishing a framework for community action in the field of water policy. J Eur Commun L327:1–72

    Google Scholar 

  • Deval C, Brooks ES, Dobre M, Lew R, Robichaud PR, Fowler A, Boll J, Easton ZM, Collick AS (2022) Pi-VAT: a web-based visualization tool for decision support using spatially complex water quality model outputs. J Hydrol 607:127529

    Article  CAS  Google Scholar 

  • Dobre M, Srivastava A, Lew R, Deval C, Brooks ES, Elliot WJ, Robichaud PR (2022) WEPPcloud: an online watershed-scale hydrologic modeling tool. Part II. Model performance assessment and applications to forest management and wildfires. J Hydrol 610:127776

    Article  Google Scholar 

  • Engin SN, Gürsoy Ö, Adiller A, Engin G (2017) Using Wavelet Neural Networks for Daily River Discharge Prediction with Meteorological Data. In: International Conference on Control Engineering Information Technology

  • ESRI (Environmental Systems Research Institute) (2012) The 50th Anniversary of GIS. Available at: http://www.esri.com/news/arcnews/fall12articles/the-fiftieth-anniversary-of-gis.html

  • Gan T, Tarboton DG, Dash P, Gichamo TZ, Horsburgh JS (2020) Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute hydrologic models. Environ Model Softw 130:104731

    Article  Google Scholar 

  • Ghunowa K, MacVicar BJ, Ashmore P (2021) Stream power index for networks (SPIN) toolbox for decision support in urbanizing watersheds. Environ Model Softw 144:105185

    Article  Google Scholar 

  • Gichamo TZ, Sazib NS, Tarboton DG, Dash P (2020) HydroDS: data services in support of physically based, distributed hydrological models. Environ Model Softw 125:104623

    Article  Google Scholar 

  • Green B, Seshadri S (2013) AngularJS. O'Reilly Media, Inc

  • Heard J, Tarboton D, Idaszak R, Horsburgh J, Ames D, Bedig A, Castronova AM, Couch A, Dash P, Frisby C, Gan T, Goodall J, Jackson S, Livingston S, Maidment D, Martin N, Miles B, Mills S, Sadler J, Valentine D, Zhao L (2014) An Architectural Overview Of HydroShare, A Next generation Hydrologic Information System. In: 11th International Conference on Hydroinformatics HIC 2014, New York City, USA

  • Karunakaran PK (2020) Introducing play framework: java web application development. Apress, Berkeley

    Book  Google Scholar 

  • Kaufman DE, Shenk GW, Bhatt G, Asplen KW, Devereux OH, Rigelman JR, Ellis JH, Hobbs BF, Bosch DJ, VanHoutven GL, McGarity AE, Linker LC, Balli WP (2021) Supporting cost-effective watershed management strategies for Chesapeake Bay using a modeling and optimization framework. Environ Model Softw 144:105141

    Article  Google Scholar 

  • Krasner GE, Pope ST (1988) A description of the model-view-controller user interface paradigm in the smalltalk-80 system. J Object Oriented Program 1(3):26–49

    Google Scholar 

  • Lew R, Dobre M, Srivastava A, Brooks ES, Elliot WJ, Robichaud PR, Flanagan DC (2022) WEPPcloud: an online watershed-scale hydrologic modeling tool. Part I. Model description. J Hydrol 608:127603

    Article  Google Scholar 

  • Ministry of Environment and Forestry (2010) The Final Report of the Main Plan Study of the Industrial Wastewaters of the Meriç(Maritsa)-Ergene Catchment. Available at: https://webdosya.csb.gov.tr/db/cygm/icerikler/mer-cergeneeay-20180205153207.pdf

  • Ozdogan E, Vanolya MM, Ucun L, Engin SN (2019) Stream-flow Prediction in Ergene River Basin via Kalman Filter. Int J Sci Res Eng Technol 9(3):31–36

    Google Scholar 

  • Pop DP, Altar A (2014) Designing an MVC model for rapid web application development. Procedia Eng 69:1172–1179

    Article  Google Scholar 

  • Power DJ (2007) A brief history of decision support systems. Available at: https://dssresources.com/history/dsshistory.html

  • Reenskaug TMH (1979) The original MVC reports. Available at: http://heim.ifi.uio.no/~trygver/2007/MVC_Originals.pdf

  • Reilly DJ (2002) Designing microsoft aspnet applications. Microsoft Press, Redmond

    Google Scholar 

  • Sugumaran R, Degroote J (2010) Spatial decision support systems: principles and practices. Crc Press, Boca Raton

    Book  Google Scholar 

  • The European Parliament and the Council of the European Union, Water Framework Directive. (2000)Off J Eur Commun: 327/1–327/72

  • US National Research Council (USNRC) (1999) New Strategies for Americas Watersheds. National Academy Press, Washington

    Google Scholar 

  • Zhang D, Chen X, Yao H (2015) Development of a prototype web-based decision support system for watershed management. Water 7(2):780–793

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) Grant No: 115Y008.

Funding

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, 115Y008.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Adiller.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Editorial responsibility: Gobinath Ravindran.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 2009 KB)

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

Adiller, A., Onkal Engin, G. Development of a watershed information system for a vulnerable basin: the case of Ergene basin. Int. J. Environ. Sci. Technol. 20, 6519–6530 (2023). https://doi.org/10.1007/s13762-022-04699-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-022-04699-3

Keywords

Navigation