The impact of urban development on hydrologic regime from catchment to basin scales

This study examines the role of urban spatial development on hydrologic response at both catchment (sub-grid) and river basin (between grid) scales in central Indiana. At the catchment scale, effective impervious area (EIA) was estimated using high density urban area and the patch size of low density urban area. The impact of urban spatial arrangement on floods was investigated using the estimated EIA for the entire White River basin, Indiana, as input to the Variable Infiltration Capacity (VIC) hydrology model with urban representation. A geographic information systems (GIS)-based routing scheme was introduced to the VIC model to route the total runoff. Seven theoretical scenarios were developed with equal urban area distributed in different isochrone zones. For return periods up to and including 100-year, the flood peaks at the basin outlet are largest if the travel time from urban cells is approximate to the mode of all pixels’ travel time (plus the time for runoff rate to reach its maximum in a storm event) of the basin. Flood peaks tend to be smaller and arrive earlier with urbanization if development occurs in areas with shorter travel time, so the largest impacts of urbanization are not necessarily seen immediately downstream of the development. This research demonstrated that the spatial pattern of urban development can affect the hydrologic regime by influencing the hydrologic connectivity of urban area at a catchment scale, while at the river basin scale it is the travel time of urban location that controls flood patterns.

[1]  David R. Maidment,et al.  Geographic Information Systems (GIS)‐based spatially distributed model for runoff routing , 1999 .

[2]  William M. Alley,et al.  Effective Impervious Area in Urban Runoff Modeling , 1983 .

[3]  C. Jackson,et al.  URBANIZATION OF AQUATIC SYSTEMS: DEGRADATION THRESHOLDS, STORMWATER DETECTION, AND THE LIMITS OF MITIGATION 1 , 1997 .

[4]  H Rajaie,et al.  Runoff hydrograph simulation based on time variable isochrone technique , 2002 .

[5]  David R. Maidment,et al.  Handbook of Hydrology , 1993 .

[6]  M. Alberti,et al.  The impact of urban patterns on aquatic ecosystems: An empirical analysis in Puget lowland sub-basins , 2007 .

[7]  A. Roy,et al.  Assessing Impervious Surface Connectivity and Applications for Watershed Management 1 , 2009 .

[8]  Dennis P. Lettenmaier,et al.  Modeling the Effects of Lakes and Wetlands on the Water Balance of Arctic Environments , 2010 .

[9]  Richard N. Weisman,et al.  Effects of urbanization on watershed hydrology: The scaling of discharge with drainage area , 2006 .

[10]  C. Arnold,et al.  IMPERVIOUS SURFACE COVERAGE: THE EMERGENCE OF A KEY ENVIRONMENTAL INDICATOR , 1996 .

[11]  Scott J. Goetz,et al.  STREAM HEALTH RANKINGS PREDICTED BY SATELLITE DERIVED LAND COVER METRICS 1 , 2005 .

[12]  Chong-Yu Xu,et al.  Large-scale runoff routing with an aggregated network-response function. , 2009 .

[13]  Dennis P. Lettenmaier,et al.  Variable infiltration capacity cold land process model updates , 2003 .

[14]  A. Mejia,et al.  Spatial Patterns of Urban Development from Optimization of Flood Peaks and Imperviousness-Based Measures , 2009 .

[15]  Paul D. Bates,et al.  The Regional Hydrology of Extreme Floods in an Urbanizing Drainage Basin , 2002 .

[16]  P. Naden.  Spatial variability in flood estimation for large catchments: the exploitation of channel network structure , 1992 .

[17]  D. Lettenmaier,et al.  Streamflow simulations of the terrestrial Arctic domain , 2005 .

[18]  J. Garbrecht.  EFFECTS OF SPATIAL ACCUMULATION OF RUNOFF ON WATERSHED RESPONSE , 1991 .

[19]  Bryan C. Pijanowski,et al.  Calibrating a neural network‐based urban change model for two metropolitan areas of the Upper Midwest of the United States , 2005, Int. J. Geogr. Inf. Sci..

[20]  L. Harris,et al.  Landscape Ecology , 1999 .

[21]  G. Hollis.  The Effect of Urbanization on Floods of Different Recurrence Interval , 1975 .

[22]  Bart Nijssen,et al.  Eegional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model , 1998 .

[23]  Derek B. Booth,et al.  Hydrologic Changes in Urban Streams and Their Ecological Significance , 2005 .

[24]  L. Gottschalk,et al.  Validation of a distributed hydrological model against spatial observations , 1999 .

[25]  L. Pfister,et al.  A diffusive transport approach for flow routing in GIS-based flood modeling , 2003 .

[26]  Soon-Jin Hwang,et al.  Landscape ecological approach to the relationships of land use patterns in watersheds to water quality characteristics , 2009 .

[27]  Douglas A. Miller,et al.  A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling , 1998 .

[28]  Vimal Mishra,et al.  A regional scale assessment of land use/land cover and climatic changes on water and energy cycle in the upper Midwest United States , 2010 .

[29]  B. Pijanowski,et al.  Using neural networks and GIS to forecast land use changes: a Land Transformation Model , 2002 .

[30]  James R. Anderson,et al.  A land use and land cover classification system for use with remote sensor data , 1976 .

[31]  Jeffrey S. Wilson,et al.  Socioeconomic correlates and environmental impacts of urban development in a central Indiana landscape , 2005 .

[32]  Bryan C. Pijanowski,et al.  Hydroclimatic response of watersheds to urban intensity: an observational and modeling-based analysis for the White River Basin, Indiana. , 2010 .

[33]  Steven J. Burian,et al.  Determining Effective Impervious Area for Urban Hydrologic Modeling , 2009 .

[34]  D. Seo,et al.  Overall distributed model intercomparison project results , 2004 .