Safety and Technical Protection Engineering
Danial Khodoli zangeneh; Hakimeh Amanipoor; Sedigheh Battaleb-Looie
Abstract
The importance of the study of Quaternary deposits has increased to such an extent that it now occupies a significant part of research in different parts of the world. In oil-rich countries, including Iran, pollution caused by oil industry activities such as drilling and exploitation has seriously threatened ...
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The importance of the study of Quaternary deposits has increased to such an extent that it now occupies a significant part of research in different parts of the world. In oil-rich countries, including Iran, pollution caused by oil industry activities such as drilling and exploitation has seriously threatened the sediments and soils around these areas. The Abteymour oilfield is one of the big fields in southwestern Iran, located in the area of agricultural lands. As a result, it is very important to evaluate its environmental effects. In this research, 33 surface soil samples were collected and in addition to measuring the concentration of heavy metals, some physical and chemical characteristics of the soil were measured. To identify the source of pollutants, statistical analyses such as correlation coefficient, principal component analysis, and cluster analysis were used. To determine the level of heavy metal pollution, environmental geological indices such as Igeo, EF, Cf, and NIP were used. The results of cluster analysis showed that the studied elements are clustered in two groups. Also, the results of the factor analysis showed that 89% of the variation of the studied parameters is affected by two factors. In total, the results of the statistical analysis showed that the pollution in the region is of anthropogenic origin and the activities related to the extraction and exploitation of the Abteymour oilfield, agricultural activities, and wastewater have an impact on the quality of the soil in the area. Investigation of the pollution level of the samples based on the Igeo, EF, Cf, and NIP indices showed that the samples are unpolluted for most of the studied elements. For the Na, Mg, Cr, Ni, Sr, Cu, Li, and Pb elements, some samples have low levels of pollution
Safety and Technical Protection Engineering
Ahmad Keshavarz; Seyed Mohammad Karim Hashemizadeh
Abstract
Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract ...
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Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract and classify oils spill for the Gulf of Mexico Deepwater Horizon (DWH) happened in 2010. For this purpose, by using FLAASH algorithm atmospheric correction is first performed. Then, total 360 spectral bands from 183 to 198 and from 255 to 279 have been excluded by applying the atmospheric correction algorithm due to low signal to noise ratio (SNR). After that, bands 1 to 119 have been eliminated for their irrelevancy to extracting oil spill spectral endmembers. In the next step, by using MATLAB hyperspectral toolbox, six spectral endmembers according to the ratio of oil to water have been extracted. Finally, by using extracted endmembers and SAM classification algorithm, the image has been classified into 6 classes. The classes are 100% oil, 80% oil and 20% water, 60% oil and 40% water, 40% oil and 60% water, 20% oil and 80% water, and 100% water.