Water Reuse and Remediation Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
Assessment of Salinity and Irrigation/Drainage Practices
Development of an Integrated Methodology for Assessing and Controlling Salinity
Salinity Assessment Resources
 

Title: MULTICOMPONENT CHEMICAL MODELING OF NONPOINT SOURCE POLLUTANTS AT FIELD, REGIONAL AND GLOBAL SCALES

Authors

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: July 31, 1997
Publication Date: N/A

Technical Abstract: Transport models which contain detailed chemical processes have been applied to simulation of chemical composition at a specific locality, where detailed input information and characterization of hydraulic and chemical parameters has also been undertaken. These models are generally considered research tools with limited real world applicability. Use of the models at field or regional scales has generally been dismissed due to the impracticality of obtaining the detailed input requirements over the desired geographical area, incorporation of unrealistic assumptions in the models and inordinate computation time. This consensus needs to be reevaluated in light of recent advances in all three of the above areas. Recently developed technology is available for rapid collection of data, often remotely, which when combined with geostatistical techniques enables estimation of the spatial distribution of model input variables. Advances in chemical knowledge such as substitution of kinetic models for equilibrium assumptions and representation of adsorption processes with defined surface species rather than site specific empirical parameters should improve prediction. This usually corresponds with substitution of known or readily obtained chemical entities such as organic matter content and cation exchange capacity for hard to measure empirical parameters.

   
 
 
Last Modified: 05/19/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House