Assessing urbanisation effects on rainfall-runoff using a remote sensing supported modelling strategy |
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| Institution: | 1. Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium;2. Cartography and GIS Research Group, Department of Geography, Vrije Universiteit Brussel, Brussels, Belgium;3. Unité de Géomatique, Université de Liège, Liège, Belgium;4. Department Earth and Environmental Sciences, Katholieke Universiteit Leuven, Heverlee, Belgium;1. College of Resources Science, Sichuan Agricultural University, 211 Huimin Road, Chengdu, Sichuan 611130, China;2. College of Forestry, Sichuan Agricultural University, 211 Huimin Road, Chengdu, Sichuan 611130, China;1. Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan;2. Sorbonne Université, Department of Medical Oncology, Hôpital Saint-Antoine, AP-HP and INSERM, Unité Mixte de Recherche Scientifique 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, Paris, France;3. Medical Oncology 3 and Medical Oncology 1, Istituto Oncologico Veneto IOV-IRCSS, Padua, Italy;4. Department of Medical Oncology, Vall d''Hebron Barcelona Hospital Campus, Vall d''Hebron Institute of Oncology (VHIO), Universitat Autonoma de Barcelona, Barcelona, Spain;5. Department of Medical Oncology and Therapeutic Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA;6. Division of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA;7. Baylor College of Medicine, Houston, TX, USA;8. Division of Oncology, Department of Oncology and Hematology, University Hospital of Modena, PhD Clinical and Experimental Medicine (CEM), University of Modena and Reggio Emilia, Modena, Italy;9. Multidisciplinary Outpatient Oncology Clinic, Candiolo Cancer Institute FPO-IRCCS, Candiolo, Italy;10. Department of Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy;11. Università Cattolica del Sacro Cuore, Rome;12. Medical Oncology 1, Istituto Oncologico Veneto IOV-IRCCS, Padua;13. Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy;14. Department of Gastrointestinal Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA;1. Ground Construction Ltd., One Oaks Court, Warwick Road, Borehamwood, Herts WD6 1GS, UK;2. School of Environment and Technology, University of Brighton, Cockcroft Building, Brighton, East Sussex BN2 4GJ, UK;3. NewSchool of Architecture and Design, 1249 F Street, San Diego, CA 92101, USA;1. Department of Hydrology, Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen K, Denmark;2. Orbicon, Jens Juuls Vej 16, 8260 Viby J, Denmark;1. KU Leuven, Dept. Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Heverlee, Belgium;2. VITO, Flemish Institute for Technological Research, Boeretang 200, 2400 Mol, Belgium |
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| Abstract: | This paper aims at developing a methodology for assessing urban dynamics in urban catchments and the related impact on hydrology. Using a multi-temporal remote sensing supported hydrological modelling approach an improved simulation of runoff for urban areas is targeted. A time-series of five medium resolution urban masks and corresponding sub-pixel sealed surface proportions maps was generated from Landsat and SPOT imagery. The consistency of the urban mask and sealed surface proportion time-series was imposed through an urban change trajectory analysis. The physically based rainfall-runoff model WetSpa was successfully adapted for integration of remote sensing derived information of detailed urban land use and sealed surface characteristics.A first scenario compares the original land-use class based approach for hydrological parameterisation with a remote sensing sub-pixel based approach. A second scenario assesses the impact of urban growth on hydrology. Study area is the Tolka River basin in Dublin, Ireland.The grid-based approach of WetSpa enables an optimal use of the spatially distributed properties of remote sensing derived input.Though change trajectory analysis remains little used in urban studies it is shown to be of utmost importance in case of time series analysis. The analysis enabled to assign a rational trajectory to 99% of all pixels. The study showed that consistent remote sensing derived land-use maps are preferred over alternative sources (such as CORINE) to avoid over-estimation errors, interpretation inconsistencies and assure enough spatial detail for urban studies. Scenario 1 reveals that both the class and remote sensing sub-pixel based approaches are able to simulate discharges at the catchment outlet in an equally satisfactory way, but the sub-pixel approach yields considerably higher peak discharges. The result confirms the importance of detailed information on the sealed surface proportion for hydrological simulations in urbanised catchments. In addition a major advantage with respect to hydrological parameterisation using remote sensing is the fact that it is site- and period-specific. Regarding the assessment of the impact of urbanisation (scenario 2) the hydrological simulations revealed that the steady urban growth in the Tolka basin between 1988 and 2006 had a considerable impact on peak discharges. Additionally, the hydrological response is quicker as a result of urbanisation. Spatially distributed surface runoff maps identify the zones with high runoff production.It is evident that this type of information is important for urban water management and decision makers. The results of the remote sensing supported modelling approach do not only indicate increased volumes due to urbanisation, but also identifies the locations where the most relevant impacts took place. |
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| Keywords: | Consistent urban trajectories Sealed surface estimates Rainfall-runoff modelling Multi-temporal EO parameterisation |
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