Beyond total impervious area: a new lumped descriptor of basin-wide hydrologic connectivity for characterizing urban watersheds

Beyond total impervious area: a new lumped descriptor of basin-wide hydrologic connectivity for characterizing urban watersheds

Blog Article

Urbanization impacts on hydrologic response are typically indexed as a function of the fraction of total impervious area (TIA), i.e., the proportion of impervious areas in a basin.This implicitly assumes that changes in flood characteristics are somehow proportional to the extents of land development without considering that such impacts may vary widely depending on the location of the developed Consumer Electronics Tool Set areas with respect to each other, the less developed land patches, the stream network, and the basin outlet.

In other words, TIA is blind to the spatial arrangement of the different types of land patches within a basin and to the nuanced ways in which runoff volumes are variously generated over them and then subsequently retained or detained as they are routed towards the stream network and then the outlet.To overcome such limitations, we propose a new lumped index that measures the impacts of urbanization on basin response in terms of the emerging hydrologic connectivity, defined here as the distributed property Hair Care Kits that explains the ability of any hillslope location to quickly receive and transfer runoff to the stream network as driven by topographically induced runoff pathways and locally affected by the different land-use/land-cover types present in a watershed.This alternative, hydrologic-connectivity-based index of urbanization (HCIU) displays sensitivity to the spatial arrangement of both fully developed and less developed or undeveloped patches, each with different degrees of imperviousness, roughness, and other characteristics affecting their abilities to either generate or hydrologically retain or detain runoff, reflecting their distinct localized effects on hydrologic connectivity.The proposed HCIU can be readily obtained in a GIS environment from easily available raster geospatial data.

We found that HCIU improves the predictive power of regional equations for peak flow in three large case-study homogeneous regions, when used in place of the traditional TIA.