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1.
Ecotoxicology ; 28(3): 333-342, 2019 Apr.
Article in English | MEDLINE | ID: mdl-30790110

ABSTRACT

Polycyclic aromatic hydrocarbons are organic chemicals consisting of a small number of benzene rings. PAHs are exposed to the environment by events such as Crude oil spills, even though they are substances present in the environment. Exposure of PAHs to the environment will affect not only the environment, but also the living organisms and the ecosystem as a whole. The effects of PAHs vary widely depending on the type of PAHs and have been studied for a long time. However, there are only 16 kinds of PAHs defined by US EPA, and there are more kinds of PAHs present in the environment. Therefore, it is time- and space-limited to judge the toxicity of all kinds of PAHs by evaluating them. In all cases, the tendency of research is shifting toward predicting toxicity evaluation through modeling rather than the direction of toxicity evaluation. In this study, we constructed a quantitative structure-activity relationship (QSAR) model, one of the molecular structure activation models, and predicted the correlation between the toxicity value and the logKow value of PAHs. Basically, as the logKow value increases, the median effective concentration (EC50) tends to decrease. Compared with the previous studies, Hyalella azteca showed this tendency, but Daphnia magna showed different results when exposed to Naphthalene. The RMSE(Root Mean Square Error) values of Daphnia magna and Hyalella azteca were 6.0049 and 5.9980, respectively, when the QSAR model was constructed using the toxicity data for PAHs. We confirmed the validity of the QSAR model in this study by comparing the results of exposing Daphnia magna to PAHs and the ECOSAR data, one of the existing models. The R2 value was found to be 0.9356. This study suggests that it may be helpful to predict the toxicity evaluation and to prepare countermeasures for accidents such as Crude oil spill. It is thought that if more data base is created by using additional types of PAHs and species in the same way as this study in the future, it will help to construct the modeling.


Subject(s)
Amphipoda/drug effects , Daphnia/drug effects , Polycyclic Aromatic Hydrocarbons/toxicity , Quantitative Structure-Activity Relationship , Water Pollutants, Chemical/toxicity , Animals , Ecosystem , Naphthalenes/toxicity
2.
Springerplus ; 5(1): 1388, 2016.
Article in English | MEDLINE | ID: mdl-27610307

ABSTRACT

BACKGROUND: In situ air sparging (IAS) was undertaken at sites in the tidal flats of Mandol and Hajeon, on the west coast of South Korea, to estimate variations in the radius of influence (ROI). RESULTS: The Mandol core sample consisted of sand and muddy sand 1.6-3.4 [Formula: see text] (average 2.3 [Formula: see text]) and contained water (average 15.10 %). The Hajeon core sample consisted of muddy sand, sandy silt, and muddy sandy gravel 1.31-4.44 [Formula: see text] (average 3.11 [Formula: see text]) and contained water (average 19.77 %). These sites differ in their sedimentary and geochemical characteristics. At the Mandol site, no H2S or combustible gas was detected during a 48-h sampling period, except for some volatile organic compounds (0.1-2.0 ppm) at the monitoring well during the initial 30 min. At the soil vapor extraction wells, CO2 and O2 varied by 850 ppm (690-1540 ppm) and 0.5 % (20.4-20.9 %), respectively. At the Hajeon site, CO2 and O2 varied from 580 to 1250 ppm and 20.6 to 20.9 %, respectively, during the 48-h sampling period. CONCLUSIONS: At the Mandol site, an oxygen concentration of 20.6 % was assumed as the effective concentration, and the ROI was estimated to be 128.0 cm. However, at the Hajeon site the ROI was estimated to be 85.7 cm. The smaller effective ROI at the Hajeon site was likely caused by the thin aquifer and thin screens of the sparing well. This estimated ROI show that the remediation effectiveness varies greatly as a heterogeneities and anisotropies in the porous sediments. Besides, injection pressure, flow rate, pulsing or continuous mode, and the range of intrinsic permeability for most important characteristic of sediment (soil) type impacted the ROI. Therefore, the IAS method is more effective at a pervasive air flow sediments such as Mandol, which consists of sand and muddy sand than at a channelized site such as Hajeon.

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