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GIS‐Based Solute Transport Modeling Applications: Scale Effects of Soil and Climate Data Input
Author(s) -
Wilson John P.,
Inskeep William P.,
Wraith Jon M.,
Snyder Robert D.
Publication year - 1996
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq1996.00472425002500030010x
Subject(s) - environmental science , soil survey , hydrology (agriculture) , soil map , soil water , digital soil mapping , evapotranspiration , precipitation , surface runoff , climate change , geographic information system , physical geography , soil science , meteorology , geology , geography , remote sensing , ecology , oceanography , geotechnical engineering , biology
Abstract The Weather Generator (WGEN) and Chemical Movement through Layered Soils (CMLS) computer models were modified and combined with two sets of soil and climate inputs to evaluate the impact of input data map resolution on model predictions. The basic soil and climate inputs required by WGEN and CMLS were acquired from either: (i) the USDA‐NRCS State Soil Geographic Database (STATSGO) database; (ii) the USDA‐NRCS (County) Soil Survey Geographic (SSURGO) database; (iii) the Montana Agricultural Potential System (MAPS) database (which divides Montana into approximately 18 000 twenty square kilometer cells and stores more than 200 different land and climate characteristics for each of these cells); and (iv) a series of fine‐scale monthly climate surfaces developed by the authors (0.55 km 2 cell size) using thin‐plate splines, published climate station records, and USGS Digital Elevation Models (DEMs). Fifteen years of daily precipitation and evapotranspiration (ET) values were generated and combined with soil and pesticide inputs in CMLS to estimate the depth of picloram (4‐amino‐3,5,6‐trichloro‐2‐pyridinecarboxylic acid) movement at the end of the growing season for every unique combination (polygon) of soil and climate in a 320 km 2 area in Teton County, Montana. Results indicate that: (i) the mean depths of picloram movement predicted for the study area with the SSURGO (county) soils and MAPS (coarse‐scale) climate information and the two model runs using the fine‐scale climate data were significantly different from the values predicted with the STATSGO (state) soils and MAPS climate data (based on a new variable containing the differences between the depths of leaching predicted with the different input data by soil/climate map unit and testing whether the mean difference was significantly different from zero at the 0.01 significance level); and (ii) CMLS identified numerous (small) areas where the mean center of the picloram solute front was likely to leach beyond the root zone when the county soils information was used. This last measure may help to identify areas where potential chemical applications are likely to contaminate groundwaters.