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Title: Input parameter and model resolution effects on predictions of solute transport

Journal Article · · Journal of Environmental Quality
; ;  [1]
  1. Montana State Univ., Bozeman, MT (United States); and others

Model predictions of solute transport using larger scale soil and climatic data sets may be useful for classifying mapping units based on their susceptibility to chemical leaching. The goal of the current study was to compare several modeling approaches that might be applicable for classifying soil mapping units (1:24 000) according to their leaching potential to (i) model results based on detailed site-specific measurements and (ii) observed data collected at a field site-specific measurements and (ii) observed data collected at a field site (Borollic Calciorthid) in southwestern Montana. Data from a 2-yr field study of pentafluorobenzoic acid (PFBA), 2,6-difluorobenzoic acid (DFBA) and dicamba (3,6-dichloro-2-methoxybenzoic acid) transport in fallow and cropped systems under two water application levels were compared to simulations obtained using the Chemical Movement in Layered Soils (CMLS) and Leaching and Chemistry Estimation (LEACHM) models. In Case 1, model input were obtained primarily from detailed soil profile characterization and site-specific measurements of precipitation, irrigation, and pan evaporation. LEACHM predictions were also generated using estimated conductivity and retentivity functions from textural data obtained from the USDA-NRCS Soil Survey (SSURGO) database (Cases 2 and 3). CMLS predictions were generated using estimated conductivity and retentivity functions from textural data obtained from the USDA-NRCS Soil Survey (SSURGO) database (Cases 2 and 3). CMLS predictions were generated using (i) detailed site-specific measurements (Case 1) and (ii) estimated volumetric water contents from textural data (SSURGO) and estimated daily precipitation and evapotranspiration (ET) from the Weather Generator (WGEN) and Montana Agricultural Potentials (MAPS) climate database (Cases 2 and 3). 31 refs., 3 figs., 6 tabs.

Sponsoring Organization:
USDOE
OSTI ID:
380977
Journal Information:
Journal of Environmental Quality, Vol. 25, Issue 3; Other Information: PBD: May-Jun 1996
Country of Publication:
United States
Language:
English