Modeling Non‐Point Source Pollutants in the Vadose Zone Using GIS

Nonpoint source (NPS) pollutants are recognized as the single greatest threat to surface and subsurface sources of drinking water throughout the world. The vadose zone serves as the conduit through which NPS pollutants travel through surface soil to groundwater supplies. Because of increased dependency on groundwater supplies, the ability to model groundwater vulnerability to the leaching of NPS pollutants through the vadose zone has grown in significance. Geographic information systems (GIS) have emerged as a useful tool in environmental modeling, particularly for NPS pollutants. A review is presented concerning the modeling of NPS pollutants in the vadose zone with GIS. Areas discussed include the significance of NPS pollutants as a global environmental problem, the justification for the modeling of NPS pollutants in the vadose zone with GIS, the basic components of environmental modeling with GIS, a review of existing GIS-based NPS pollutant models, the application of geostatistics to GIS-based NPS pol...

[1]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[2]  John L. Hutson,et al.  Scale‐Dependency of Solute Transport Modeling/GIS Applications , 1996 .

[3]  David Pimentel,et al.  World Soil Erosion and Conservation , 2009 .

[4]  Dennis L. Corwin,et al.  Modeling Nonpoint Source Pollutants in the Vadose Zone with GIS , 1997 .

[5]  A. M. Duda,et al.  Addressing Nonpoint Sources of Water Pollution Must Become an International Priority , 1993 .

[6]  J. H. Dane,et al.  Physical Measurements in Subsurface Hydrology , 1991 .

[7]  Keith Beven,et al.  Changing ideas in hydrology — The case of physically-based models , 1989 .

[8]  D. Corwin,et al.  Apparent soil electrical conductivity measurements in agriculture , 2005 .

[9]  Michael E. Phelps,et al.  PET , 2004, Springer New York.

[10]  S. Tamari,et al.  Application of artificial neural networks for developing pedotransfer functions of soil hydraulic parameters , 1996 .

[11]  David Altman,et al.  Fuzzy Set Theoretic Approaches for Handling Imprecision in Spatial Analysis , 1994, Int. J. Geogr. Inf. Sci..

[12]  K. Loague,et al.  Advanced Information Technologies for Assessing Nonpoint Source Pollution in the Vadose Zone: Conference Overview , 1999 .

[13]  Dennis L. Corwin,et al.  Applications of GIS to the Modeling of NonPoint Source Pollutants in the Vadose Zone: A Conference Overview , 1996 .

[14]  Richard Bernknopf,et al.  Uncertainty of Groundwater Vulnerability Assessments for Agricultural Regions in Hawaii: Review , 1996 .

[15]  Noel A. C. Cressie,et al.  Statistics for Spatial Data: Cressie/Statistics , 1993 .

[16]  Keith Beven,et al.  Towards an alternative blueprint for a physically based digitally simulated hydrologic response modelling system , 2002 .

[17]  Dennis L. Corwin,et al.  Geostatistical Analysis of a Soil Salinity Data Set , 1996 .

[18]  Christopher G. Uchrin,et al.  Indirect Methods for Estimating the Hydraulic Properties of Unsaturated Soils , 1994 .

[19]  Thomas A. McMahon,et al.  Physically based hydrologic modeling: 2. Is the concept realistic? , 1992 .

[20]  Marcel R. Hoosbeek,et al.  Towards the quantitative modeling of pedogenesis — a review , 1992 .

[21]  C. Daughtry,et al.  Remote- and Ground-Based Sensor Techniques to Map Soil Properties , 2003 .

[22]  A. Duda,et al.  Implementing the world bank's water resources management policy: a priority on toxic substances from nonpoint sources , 1996 .

[23]  R. M. Lark,et al.  Multiresolution analysis of data on electrical conductivity of soil using wavelets , 2003 .

[24]  R. M. Lark,et al.  Analysis and elucidation of soil variation using wavelets , 1999 .

[25]  S. Walsh.  Geographic Information Systems An Instructional Tool for Earth Science Educators , 1988 .

[26]  Walter J. Rawls,et al.  Estimating Soil Water Retention from Soil Physical Properties and Characteristics , 1991 .