Using GIS, geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study

Vahid Aghadadashi; Saeideh Molaei; Ali Mehdinia; Jahangard Mohammadi; Mazaher Moeinaddini; Alireza Riyahi Bakhtiari

doi:10.1016/j.marpolbul.2019.110489

Using GIS, geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study

Mar Pollut Bull. 2019 Dec:149:110489. doi: 10.1016/j.marpolbul.2019.110489. Epub 2019 Aug 16.

Authors

Vahid Aghadadashi¹, Saeideh Molaei², Ali Mehdinia³, Jahangard Mohammadi⁴, Mazaher Moeinaddini⁵, Alireza Riyahi Bakhtiari⁶

Affiliations

¹ Iranian National Institute for Oceanography and Atmospheric Science, No. 3, Etemadzadeh St., Fatemi Ave., Tehran, P.O. Box 1411813389, Iran. Electronic address: Vahidaghadadashi@yahoo.com.
² Department of Chemistry, Kharazmi University, 43Mofateh Ave., Tehran, P.O. Box 1571914911, Iran.
³ Iranian National Institute for Oceanography and Atmospheric Science, No. 3, Etemadzadeh St., Fatemi Ave., Tehran, P.O. Box 1411813389, Iran. Electronic address: Mehdinia@inio.ac.ir.
⁴ Department of Soil Science, Shahrekord University, Shahrekord, Iran.
⁵ Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, P.O. Box 4111, Iran.
⁶ Department of Environmental Sciences, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Mazandaran, Iran.

PMID: 31425846
DOI: 10.1016/j.marpolbul.2019.110489

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.

Keywords: Fuzzy logic; GIS; Geo-statistics; Moran's I; PAHs; Persian gulf.

MeSH terms

Fuzzy Logic*
Geographic Information Systems*
Humans
Indian Ocean
Polycyclic Aromatic Hydrocarbons* / analysis
Spatial Analysis

Substances

Polycyclic Aromatic Hydrocarbons