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Assessing the Hydrological Response of Ayamama Watershed from Urbanization Predicted under Various Landuse Policy Scenarios

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  • Tewodros Assefa Nigussie

    (Istanbul Technical University)

  • Abdusselam Altunkaynak

    (Istanbul Technical University)

Abstract

This study investigated the effects of urbanization predicted using the SLEUTH urban growth model (an acronym taken from Slope, Landuse, Exclusion, Urban extent, Transportation and Hillshade) under four landuse policy scenarios on the hydrological response of Ayamama watershed using the Hydrologic Engineering Center Release 1 (HEC-1) hydrological model. The SLEUTH model was calibrated based on the Brute Force Monte Carlo iteration technique using the urban extents of Istanbul in 1987, 2000, 2009 and 2013 and was verified by considering Kappa coefficient as evaluation criteria. HEC-1 was calibrated and verified using observed rainfall-runoff event and based on the coefficient of determination (R2), Nash-Sutcliffe coefficient of efficiency (CE) and percentage of bias (PBIAS) as performance indicators. The urbanization prediction results showed that the urban extent of Ayamama watershed would reach 50.3 km2, 44 km2, 63 km2 and 60 km2 under Scenarios 1, 2, 3 and 4, respectively, in 2050. The hydrological simulation results under these urban extents showed that the urban extent of Ayamama watershed under Scenario-3, a scenario that allows unrestricted growth with the implementation of Project Canal Istanbul (PCI), resulted in the highest peak discharge and the shortest time to peak. Such an increase in the peak discharge and reduction in the time to peak will increase the risk of flooding and, therefore, extreme care needs to be taken before and during the implementation of PCI.

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  • Tewodros Assefa Nigussie & Abdusselam Altunkaynak, 2016. "Assessing the Hydrological Response of Ayamama Watershed from Urbanization Predicted under Various Landuse Policy Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3427-3441, August.
  • Handle: RePEc:spr:waterr:v:30:y:2016:i:10:d:10.1007_s11269-016-1360-4
    DOI: 10.1007/s11269-016-1360-4
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    References listed on IDEAS

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    1. Yu-ming Wang & Yu-ji Li & Shin-jen Cheng & Fu-ti Yang & Yin-ta Chen, 2015. "Effects of Spatial-Temporal Imperviousness on Hydrological Responses of Various Areas in an Urbanized Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3551-3567, August.
    2. Fares Laouacheria & Rachid Mansouri, 2015. "Comparison of WBNM and HEC-HMS for Runoff Hydrograph Prediction in a Small Urban Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2485-2501, June.
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    4. Anil Misra, 2011. "Impact of Urbanization on the Hydrology of Ganga Basin (India)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 705-719, January.
    5. Ge Zhang & Subhrajit Guhathakurta & Susannah Lee & Amy Moore & Lijiao Yan, 2014. "Grid-Based Land-Use Composition and Configuration Optimization for Watershed Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2867-2883, August.
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    Cited by:

    1. Ajaykumar Kadam & Animesh S. Karnewar & Bhavana Umrikar & R. N. Sankhua, 2019. "Hydrological response-based watershed prioritization in semiarid, basaltic region of western India using frequency ratio, fuzzy logic and AHP method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1809-1833, August.
    2. Juliana Mendes & Rodrigo Maia, 2016. "Hydrologic Modelling Calibration for Operational Flood Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5671-5685, December.

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