Assessment of Soil Properties Influencing Chlorpyrifos Contamination Using Geoinformatics in Marian plum Farm (Bouea burmanica Griff.): A Case Study of Mueang Nakhon Nayok District, Nakhon Nayok Province
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Abstract
Since the utilization of insecticides induces contamination in agricultural produce and the environment, the research aims to (1) study physical factors of the soil that affect the accumulation of Chlorpyrifos in Marian Plum's plantation (2) examine the risk of contamination by applying Analysis Hierarchy Process: AHP and Fuzzy Analytic Hierarchy Process: FAHP. The findings indicate that, according to the AHP method, the eigenvector of soil texture has the highest value (0.362), followed by soil pH (0.240), infiltration rate (0.138), soil depth (0.130), slope (0.081), topology wetness index: TWI (0.048), respectively. However, the findings from the FAHP method suggest that the eigenvectors respectively ranked from the highest to lowest as follows: soil texture (0.194), soil pH (0.181), soil depth (0.165), infiltration rate (0.162), slope (0.155), TWI (0.142). The spatial overlay analysis also reveals the risk of contamination in 5.41 sq.km of Marian Plum's plantation in Mueang District, Nakhon Nayok Province. Following the AHP method, the risk is highest at 3.36 sq.km, high at 2.01 sq.km, and moderate at 0.04 sq.km. The FAHP method, on the other hand, shows that the risk is highest at 0.23 sq.km, high at 4.66 sq.km, moderate at 0.52 sq.km, and low at 0.001 sq.km. Additionally, the contamination of Chlorpyrifos is not detected in the analysis of the soil sample. According to the findings from the field survey, the result is most likely due to the lack of agricultural Chlorpyrifos trade in the research site for at least a year.
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