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Water Resources Modelling under Data Scarcity: Coupling MIKE BASIN and ASM Groundwater Model

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  • A. Ireson
  • C. Makropoulos
  • C. Maksimovic

Abstract

The Water Framework Directive calls for strategic water resources planning at a catchment level, yet data and information are scarce in the areas where they are most needed: in the new EU Member States and Third Counties trying to assess the impact of EU environmental legislation in their water resources management policy. The research presented here proposes the coupling of a strategic scale water resources management simulation model (MIKE-Basin) and a finite difference groundwater model (ASM), as a tool to support decision making in data scarce environments. The models were applied in a particularly data scarce region, the Vrbas River basin, in Republic Srpska (RS) in Bosnia and Herzegovina (BiH) and the results are presented and discussed. It is argued that the approach adopted is valid and useful as an initial knowledge development and optioneering step, which can guide a national data collection exercise to support detailed modelling, and inform a strategic decision making process relevant to the application of the water framework directive. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • A. Ireson & C. Makropoulos & C. Maksimovic, 2006. "Water Resources Modelling under Data Scarcity: Coupling MIKE BASIN and ASM Groundwater Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 567-590, August.
    • Handle: RePEc:spr:waterr:v:20:y:2006:i:4:p:567-590
    DOI: 10.1007/s11269-006-3085-2
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    References listed on IDEAS

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    1. Batchelor, Charles, 1999. "Improving water use efficiency as part of integrated catchment management," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 249-263, May.
    2. Chowdary, V. M. & Rao, N. H. & Sarma, P. B. S., 2003. "GIS-based decision support system for groundwater assessment in large irrigation project areas," Agricultural Water Management, Elsevier, vol. 62(3), pages 229-252, October.
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    Cited by:

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    2. Qian Zhang & Xiujuan Liang & Zhang Fang & Tao Jiang & Yubo Wang & Lei Wang, 2016. "Urban water resources allocation and shortage risk mapping with support vector machine method," 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. 81(2), pages 1209-1228, March.
    3. Soumaya Hajji & Sedki Karoui & Ghada Nasri & Nabila Allouche & Salem Bouri, 2021. "EFA-CFA integrated approach for groundwater resources sustainability in agricultural areas under data scarcity challenge: case study of the Souassi aquifer, Central-eastern Tunisia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12024-12043, August.
    4. Dedi Liu & Shenglian Guo & Pan Liu & Hui Zou & Xingjun Hong, 2019. "Rational Function Method for Allocating Water Resources in the Coupled Natural-Human Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 57-73, January.
    5. Miguel Rodríguez-Rodríguez & José Benavente, 2008. "Definition of Wetland Typology for Hydro-morphological Elements Within the WFD. A Case Study from Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 797-821, July.
    6. Debashish Goswami & Prasanta Kalita & Edward Mehnert, 2010. "Modeling and Simulation of Baseflow to Drainage Ditches During Low-flow Periods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(1), pages 173-191, January.
    7. Qian Zhang & Xiujuan Liang & Zhang Fang & Tao Jiang & Yubo Wang & Lei Wang, 2016. "Urban water resources allocation and shortage risk mapping with support vector machine method," 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. 81(2), pages 1209-1228, March.
    8. V. Alarcon & D. Johnson & W. McAnally & J. Zwaag & D. Irby & J. Cartwright, 2014. "Nested Hydrodynamic Modeling of a Coastal River Applying Dynamic-Coupling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3227-3240, August.

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