Efficient approach for impact analysis of land cover changes on hydrological extremes by means of a lumped conceptual model
| Autor: | Patrick Willems, Quoc Quan Tran, A. Vermeir, Jan De Niel, Sotirios Moustakas |
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| Rok vydání: | 2020 |
| Předmět: |
EQUIFINALITY
PREDICTION media_common.quotation_subject Drainage basin UNCERTAINTY Land cover Land cover changes PARAMETERS FLOWS Urban planning Urbanization Earth and Planetary Sciences (miscellaneous) RUNOFF lcsh:Physical geography Water Science and Technology media_common Hydrology geography Science & Technology geography.geographical_feature_category Impact analysis lcsh:QE1-996.5 PERFORMANCE UNGAUGED BASINS Hydrological extremes CLIMATE lcsh:Geology Conceptual hydrological modelling Physical Sciences Water Resources Conceptual model Environmental science lcsh:GB3-5030 REGIONALIZATION |
| Zdroj: | Journal of Hydrology: Regional Studies, Vol 28, Iss, Pp-(2020) |
| ISSN: | 2214-5818 |
| DOI: | 10.1016/j.ejrh.2020.100666 |
| Popis: | Study region: Belgium, Flanders, Grote Nete and Zuunbeek catchments. Study focus: The focus of this study is the development and subsequent application of a computationally-efficient framework for parsimonious hydrological models to simulate impact of land cover changes. The framework was applied to the NAM conceptual model, considering the disaggregation approach by Tran et al. (2018), and urban development scenarios for the study region for 2050. New hydrological insights for the region: Considering the urban development scenarios for 2050, an intensification of the hydrological extremes was found. On average, 10 % increase in urbanization causes an increase in river peak flows of about 3 %. Peak-flow changes by 2050 vary between +2 % to +14 % for the Grote Nete catchment, and between -2 % to +8 % for the Zuunbeek catchment. Low-flow changes vary in the range [-5 %, -1 %] and [-33 %, 10 %] for the Grote Nete and Zuunbeek catchments, respectively. Keywords: Land cover changes, Conceptual hydrological modelling, Hydrological extremes, Impact analysis |
| Databáze: | OpenAIRE |
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