Description of an indirect method (IDPR) to determine spatial distribution of infiltration and runoff and its hydrogeological applications to the French territory

Abstract It is commonly accepted in geospatial analysis that automated calculation of thalweg networks from a digital elevation model produces a theoretical flow system that overall represents the branching of in-place hydrographic networks. However, in detail this theoretical network is too different from the natural river network to substitute for the systematic digitization of rivers. Numerous papers seek to optimize numeric calculations to reduce this discrepancy but none has proposed to use this difference as data specific to the context under study. Toward this end, the principal idea behind the IDPR (Network Development and Persistence Index) is to apply a particular metric to disparity measurements between the theoretical drainage system produced by the raw automatic analysis of a digital model and the field reality represented by branching rivers. By measuring the difference between a simplified modeling of water pathways based on a hypothesis of homogeneous and isotropic terrain and the complexity of a natural network subject to the properties of the land surface it crosses, this metric makes it possible to determine spatial distribution of infiltration and runoff.

[1]  E. Kwicklis,et al.  Development of an Infiltration Map for the Los Alamos Area, New Mexico , 2005 .

[2]  T. Casadevall,et al.  Computer programs for describing the recession of ground-water discharge and for estimating mean ground-water recharge and discharge from streamflow records-update , 1993 .

[3]  María Lourdes Lima,et al.  Fuzzy logic-based assessment for mapping potential infiltration areas in low-gradient watersheds. , 2016, Journal of environmental management.

[4]  D. Tarboton A new method for the determination of flow directions and upslope areas in grid digital elevation models , 1997 .

[5]  A. Dassargues,et al.  Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods , 2000 .

[6]  Chadi Abdallah,et al.  Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon , 2006 .

[7]  Prashant Kumar,et al.  Index-based groundwater vulnerability mapping models using hydrogeological settings: A critical evaluation , 2015 .

[8]  A. Gustard,et al.  Low Flow Estimation in the United Kingdom , 1992 .

[9]  S. K. Jenson,et al.  Extracting topographic structure from digital elevation data for geographic information-system analysis , 1988 .

[10]  S. Simões,et al.  The definition of potential infiltration areas in Guaratinguetá watershed, Paraíba do Sul Basin, Southeastern Brazil: an integrated approach using physical and land-use elements , 2012, Environmental Earth Sciences.

[11]  José António de Almeida,et al.  Characterization of maximum infiltration areas using GIS tools , 2005 .