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IRISKPRO'S SESOIL for Windows User's Guide <br /> environment under study (Note that the term validation has often been broadly used to mean <br /> a variety of things, including all five of the techniques mentioned above ) <br />' A number of calibration, validation, and sensitivity studies have been performed on the SESOIL <br /> model The model has been verified by extensive testing using extreme ranges of input data. <br /> Studies of the hydrologic and washload cycles have already been discussed above (see Sections <br />' 3.3 and 3 4). The following discusses the kinds of evaluations that have been performed on the <br /> pollutant cycle of the SESOIL model Note that model validation is a continuing process, no <br /> model is ever completely validated <br /> To assess SESOIL's predictive capabilities for pollutant movement, a pollutant transport and <br /> validation study was performed by Arthur D Little, Inc. under contract to EPA (Bonazountas <br /> et al , 1982). The application/validation study was conducted on two field sites, one in Kansas <br /> and one in Montana. SESOIL results were compared to data for the metals chromium, copper, <br /> I nickel, and sodium at the Kansas site and the organics naphthalene and anthracene at the <br /> Montana site Results showed reasonable agreement between predictions and measurements, <br /> although the concentrations of the metals were consistently underestimated at both sides, the rate <br /> I of metal movement at the Kansas site was consistently overestimated, while the concentrations <br /> of the organics were overestimated at the Montana site Bonazountas et al. (1982) state that the <br /> overestimations for the organics were probably due to the fact that biodegradation was not <br /> considered in the simulations Note that this study was done with the original SESOIL model, <br /> not the modified model that is described herein <br /> Hetrick et al. (1989) compared predictions of the improved version of SESOIL with empincal <br /> data from a laboratory study involving six organic chemicals (Melancon et al , 1986) and from <br /> three different field studies involving the application of aldicarb to two field plots (Hornsby et <br /> I al., 1983, R L Jones, 1986, Jones et al , 1983, 1985) and atrazine to a single-field watershed <br /> (Smith et al , 1978) Results for several measures of pollutant transport were compared <br /> including the location of chemical peak vs time, the tame-dependent amount of pollutant leached <br /> to groundwater, the depth distnbution of the pollutant at vanous times, the mass of the chemical <br /> degraded, and the amount of pollutant in surface runoff This study showed that SESOIL <br /> predictions were in good agreement with observed data for both the laboratory study and the <br /> field studies. <br /> SESOIL does a good job of predicting the leading edge of the chemical profile (Hetrick et al , <br /> I1989), due mainly to the improvement of the pollutant depth algorithm to include the chemical <br /> sorption characteristics (see Section 3 5 2 above) Also, when a split-sample <br /> calibration/validation procedure was used on three years of data from the single-field watershed, <br /> SESOIL did a good job of predicting the amount of chemical in the runoff The model was less <br /> effective in predicting actual concentration profiles; the simulated concentrations near the soil <br /> 6 surface underestimated the measurements in most cases One explanation is that SESOIL does <br /> r <br /> IPage 31 <br /> I <br />