气候变化领域集成服务门户(CCPortal): Using GIS; geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study

CCPortal

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
	Aghadadashi V.; Molaei S.; Mehdinia A.; Mohammadi J.; Moeinaddini M.; Riyahi Bakhtiari A.
发表日期	2019
ISSN	0025326X
卷号	149
英文摘要	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. © 2019 Elsevier Ltd
英文关键词	Fuzzy logic; Geo-statistics; GIS; Moran's I; PAHs; Persian gulf
语种	英语
scopus关键词	Computer circuits; Geographic information systems; Maps; Polycyclic aromatic hydrocarbons; Sedimentology; Autocorrelation analysis; Cluster regions; Geo-statistics; Ordinary kriging; Persian Gulf; Petrochemical facility; Potential hazards; Spatial structure; Fuzzy logic; autocorrelation; concentration (composition); fuzzy mathematics; geostatistics; GIS; kriging; PAH; spatiotemporal analysis; article; fuzzy logic; geostatistical analysis; kriging; Persian Gulf; prediction; statistics; geographic information system; human; Indian Ocean; spatial analysis; Arabian Sea; Indian Ocean; Persian Gulf; polycyclic aromatic hydrocarbon; Fuzzy Logic; Geographic Information Systems; Humans; Indian Ocean; Polycyclic Aromatic Hydrocarbons; Spatial Analysis
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149588
作者单位	Iranian National Institute for Oceanography and Atmospheric Science, No. 3, Etemadzadeh St., Fatemi Ave., P.O. Box 1411813389, Tehran, Iran; Department of Chemistry, Kharazmi University, 43Mofateh Ave., P.O. Box 1571914911, Tehran, Iran; Department of Soil Science, Shahrekord University, Shahrekord, Iran; Department of Environmental Science, Faculty of Natural Resources, University of Tehran, P.O. Box 4111, Karaj, Iran; Department of Environmental Sciences, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Mazandaran, Iran
推荐引用方式 GB/T 7714	Aghadadashi V.,Molaei S.,Mehdinia A.,et al. Using GIS; geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study[J],2019,149.
APA	Aghadadashi V.,Molaei S.,Mehdinia A.,Mohammadi J.,Moeinaddini M.,&Riyahi Bakhtiari A..(2019).Using GIS; geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study.Marine Pollution Bulletin,149.
MLA	Aghadadashi V.,et al."Using GIS; geostatistics and Fuzzy logic to study spatial structure of sedimentary total PAHs and potential eco-risks; An Eastern Persian Gulf case study".Marine Pollution Bulletin 149(2019).