Soil pollutant susceptibility rating for rice agroecosystems
2002
Perez, F.O.
Results of the study revealed that the clay content and mineralogy, soil pH, organic matter content, cation exchange capacity, and soil calcium content significantly affected the adsorption of NO3 and the selected heavy metals namely, Cu, Cd, Pb and Zn. A positive linear relationship were observed between the soil properties and the pollutants studied. The trend established was an increased adsorption of NO3 and heavy metals occurred with increasing amount of the aforementioned soil properties. Prediction of NO3-N content of soils was possible using the equations established by the simple regression model. Four out of five pedons (80%) can be predicted to have similar values with the actual values analyzed using soil organic matter as the predictor while three out of five (60%) pedons can be predicted to have similar values with the actual value using soil pH. Pollution assessments through susceptibility rating in rice agroecosystems can be done with the use of the system developed. It can be assessed by determining the Inherent Soil Pollution Susceptibility Rating (ISPSR) of the soil class based on the coefficients of formative elements evaluated either as a pollutant deterrent factor or as an enducer of availability. The soil classified as fine, mixed, isohyperthermic, Entic chromusterts obtained the highest ISPSR of 0.80 while the lowest rating was registered by the soil named as fined, mixed, isohyperthermic, Typic Haplustalfs with 0.70. Soil groups under the order Inceptisols had 0.78 (ISPSR), a rating which is slightly higher than those obtained from soils belonging to the order Vertisols with 0.73. Increasing soil organic matter as well as pH and Ca through liming are promising best management practices to adsorb pollutants in soils as shown by the high predicted values obtained using NO3, Cu, Cd, Pb and Zn
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