This paper describes laboratory experiments and subsequent statistical data
analysis performed to reevaluate the overall effect of soil characteristic
s and liquid-phase composition on the extent of pentachlorophenol (PCP) ads
orption in complex soil-water systems. The PCP adsorption isotherms were fi
rst generated for eight soils of varying physical and chemical properties.
Binding tests were then performed in the presence of different additives (s
urfactant, oil, etc.) and conditions (temperature and pH), based on a fract
ional factorial design. Statistical analysis of data showed strong interdep
endencies, among several of the soil parameters, but confirmed that organic
carbon content (f(oc)) and pH of the soils were the best predictors of the
adsorption constant of PCP (K-d) for nonamended soil-water systems. It was
determined that the effect on K-d of a 0.2 unit decrease in soil pH was ap
proximately the same as increasing f(oc) by 1%. From studying the effect of
the amendments, two interactions (surfactant-pH and surfactant-oil) and tw
o primary effects (surfactant and oil) have been detected. The effectivenes
s of the surfactant in decreasing K-d varied depending on the pH and oil co
ntent of the soil. A generalized nonlinear model expressing K-d as a functi
on of pH, f(oc), oil content of soil, and surfactant dose was developed for
the range of conditions studied. The proposed model and modeling approach
can be adapted to other types of contaminants or variables, for specific na
tural and engineered systems.