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Using GIS, geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential
Vahid Aghadadashi1, Saeideh Molaei2, Ali Mehdinia1
1Iranian National Institute for Oceanography and Atmospheric Science, No. 3, Etemadzadeh St., Fatemi Ave., Tehran, P.O. Box 1411813389, Iran.
Abstract:
GIS, geo-statistics and autocorrelation analysis were employed to reveal spatial structure of sedimentary ∑16PAHs. Global Moran's I index outlined significant ∑16PAHs clusters for the entire region (Moran's I index =0.62, Z-score = 25.6). Anselin Moran's I index specified locations of the significant low/high spatial clusters. The levels of random and structural variance of ∑16PAHs were about 0.083 and 0.154, respectively. Nugget to sill ratio confirmed that ∑16PAHs has a moderate level of spatial structure and the major part of PAHs variability is not random. Prediction and standard error maps of ∑16PAHs, produced by ordinary kriging, highlighted that more samples should be taken from high cluster region for next studies. Fuzzy logic functions (OR and AND) were used to develop eco-risk maps. It revealed that the potential hazards of PAHs are considerable at the vicinity of petrochemical facilities.
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