The influence of urban expansion on the flood hazard in Santiago de Chile

Land-use changes associated with urban expansion frequently lead to an increase of hazards, both natural and man-made [1], [2], [3], [4]. The process of urbanization is often associated with land-use and land-cover (LULC) changes, leading to a reduction of the infiltration capacity of newly urbanized soil. The goal of this study is to analyze the influence of urban growth on the flood hazard in the case of Santiago de Chile. Therefore, the hydrological model HEC-HMS (Hydrologic Engineering Center - Hydrologic Modeling System) is applied to model the hydrologic system at two time steps. The model allows balancing rainfall and runoff with respect to land use characteristics. A comparison with existing flood hazard maps created based on information of previous floods in Santiago can be used for validation. After successful modeling, i.e. representation of the functioning of the river ecosystem, alternative land-use scenarios can be created to predict the influence of urban land-use / land-cover changes on flood hazard. As a first step, the land-use patterns from 2002 and from a comparative date in 1993 have been delineated from high and very high resolution satellite data (Landsat/SPOT, ASTER) using pixel-based analysis. With this methodology, land-use changes of classes with common hydrological properties could be detected and a first quantification could be achieved. Measured rainfall and runoff data for the past 30 years have been analyzed to investigate the changes in precipitation and runoff characteristics. Finally, precipitation and runoff values are related to land-use changes applying the hydrological model. Applying this approach, the influence of land-use types and their spatial pattern on the runoff characteristics in a sub-catchment is investigated. The application of the hydrological model will help to develop scenarios that can be used to estimate the reaction of an urban environment to extreme rainfall and to suggest improved land-use planning in order to mitigate the flood hazard. Future land-use scenarios can be simulated with respect to their influence on the storm water behavior once the model is calibrated.

[1]  K. Hannemann,et al.  Monitoring the urban development with integrated system from RS observation and GIS information , 2007, 2007 Urban Remote Sensing Joint Event.

[2]  Felix Naef,et al.  A process based assessment of the potential to reduce flood runoff by land use change , 2002 .

[3]  W. Weischet,et al.  Regionale Klimatologie Teil 2 , 1996 .

[4]  Annegret Kindler,et al.  Monitoring urban to peri‐urban development with integrated remote sensing and GIS information: a Leipzig, Germany case study , 2009 .

[5]  Ecuador Municipio de Loja Perspectivas del Medio Ambiente Urbano - GEO Loja , 2008 .

[6]  M. Z. Rahman,et al.  Digital Surface Model (DSM) Construction and Flood Hazard Simulation for Development Plans in Naga City, Philippines , 2007 .

[7]  Zong‐Liang Yang,et al.  Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. , 2005, Journal of environmental management.

[8]  Slobodan P. Simonovic,et al.  Role of Remote Sensing in Disaster Management , 2002 .

[9]  Alfred Stein,et al.  Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data , 2009 .

[10]  James P. Verdin,et al.  Adequacy of satellite derived rainfall data for stream flow modeling , 2007 .

[11]  Jennifer M. Jacobs,et al.  Relationships among remotely sensed soil moisture, precipitation and landslide events , 2007 .

[12]  F. Pappenberger,et al.  © Author(s) 2007. This work is licensed under a Creative Commons License. Advances in , 2022 .

[13]  L. Solway Reducing the Effect of Natural Hazards on Urban Areas , 2004 .

[14]  Claudio Margottini,et al.  Natural Disasters and Sustainable Development , 2010 .

[15]  P. Bates,et al.  Evaluation of 1D and 2D numerical models for predicting river flood inundation , 2002 .

[16]  Frank Canters,et al.  Effects of different methods for estimating impervious surface cover on runoff estimation at catchment level , 2006 .

[17]  Claudio Anguita Cáceres Facultad de Ciencias Físicas y Matemáticas , 1983 .

[18]  M. Pelling The Vulnerability of Cities: Natural Disasters and Social Resilience , 2005 .

[19]  R. Heremans,et al.  Automatic detection of flooded areas on ENVISAT/ASAR images using an object-oriented classification technique and an active contour algorithm , 2003, International Conference on Recent Advances in Space Technologies, 2003. RAST '03. Proceedings of.

[20]  C. V. D. Sande,et al.  A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment , 2003 .

[21]  P. D. Batesa,et al.  A simple raster-based model for flood inundation simulation , 2000 .

[22]  I. Sandholt,et al.  Remote sensing techniques for flood monitoring in the Senegal River Valley , 2003 .

[23]  Faisal Hossain,et al.  The emerging role of satellite rainfall data in improving the hydro-political situation of flood monitoring in the under-developed regions of the world , 2007 .

[24]  Yang Hong,et al.  Flood and landslide applications of near real-time satellite rainfall products , 2007 .

[25]  Marina Mueller,et al.  Potential of High-Resolution Satellite Data in the Context of Vulnerability of Buildings , 2006 .

[26]  A. Jacquin,et al.  A hybrid object-based classification approach for mapping urban sprawl in periurban environment , 2008 .

[27]  D. Dutta,et al.  A mathematical model for flood loss estimation , 2003 .