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Dunyu L.,The Institute of Hydrogeology and Environmental Geology | Chu Y.,The Institute of Hydrogeology and Environmental Geology
WIT Transactions on Ecology and the Environment

1,3,5-TMB (trimethylbenzene) has been considered as a priority pollutant by several environmental agencies due to its high toxicity, carcinogenicity and mutagenic activity. Two bacteria with the ability of degrading 1,3,5-TMB were isolated from crude oil contaminated soil. The optimal pH value and temperature for the growth of these bacteria were 7.0 and 30°C. 1,3,5-TMB was used as sole carbon and energy source by both strains. Strain A was identified as Staphylococcus sciuri and strain C was Microbacterium schleiferi, both of which were facultative anaerobic bacteria. 1,3,5-TMB was degraded by strain C with efficiency of 41.2±1.8%. The bacteria offered new source for biodegradation of BTEX and bioremediation of oil-contaminated soil and groundwater. © 2014 WIT Press. Source

Yuan-Jie L.,The Institute of Hydrogeology and Environmental Geology | Yuan-Jie L.,Inner Mongolia Institute of Geological Environmental Monitoring | Lin L.,Inner Mongolia Autonomous Region Metallurgical Research Institute | Gui-Ling W.,The Institute of Hydrogeology and Environmental Geology | And 2 more authors.
Soil and Sediment Contamination

In-situ remediation is a practical approach to remediate soils contaminated with heavy metals. The MnFe2O4 microparticles (MM) were prepared for the in-situ remediation of contaminated soils from a lead–zinc polymetallic mine in Inner Mongolia province, China. The effects of MM dosage, pH on remediation efficiency, were determined with static vibration leaching experiment, and the release risk of heavy metals of treated soil was studied by column leaching experiment. The results showed that the leached Cu, Pb, Zn, and As concentration decreased drastically with increasing MM dosage, when the dosage was lower than 10 g/kg. Moreover, the decrease of pH caused increase of leached concentration of Cu, Pb, Zn, but slight decrease of leached As concentration. For the amended soil, concentrations of leached heavy metals were lower than Grade III limit of Chinese Environmental Quality Standards for Ground and Surface water (GB3838-2002) under simulated acid rain leaching condition. In comparison with non-amended soils, the total amount of Cu, Pb, Zn, and As release from amended soils was reduced by 93.6%, 69.2%, 57.0%, and 99.7%, respectively. The MM is a kind of promising amendment for heavy metals contaminated soil. © 2016 Taylor & Francis Group, LLC. Source

Li H.,The Institute of Hydrogeology and Environmental Geology | Zhao Y.-S.,Jilin University | Han Z.-T.,The Institute of Hydrogeology and Environmental Geology | Zhang W.,The Institute of Hydrogeology and Environmental Geology
Zhongguo Huanjing Kexue/China Environmental Science

In order to study the remediation effeciency for nitrobenzene pollution, in-situ reactive zone of modified nanosale zero valent iron was created in one-dimensional simulation columns using prepared slurry, and the persistence of its function was also assessed through the calculation of permeability change. The results of simulated experiments show that the removal efficiency of nitrobenzene was 45%~80%, and the changing process of the permeability of the reactive zone could be divided into thress stages: rapid decline in 0~10d, slow decline in 10~30 d and stable stage in 30~60d with average decrease of 53.2%. Still, the reactive zone kept favourable operation without blocking in different aquifer conditions, which proved that the zone of SM-NZVI could continue to remediate availably. Larger particle size of aquifer medium and suspension concentration resulted in higher degradation efficiency of nitrobenzene which increased by 23.7% and 13.7%, respectively. However, higher flow velocity of underground water and pollutant concentration were adverse to the removal of nitrobenzene which both decreased by 46.8% or so. The ratio of iron to nitrobenzene participating in the reaction actually in each zone was 11.2, 17.9, 12.6, 3.3 and 25.7, respectively, it means that the utilization percentage of SM-NZVI particles was relatively low and thus excess suspension should be injected to the underground for ideal remediation results. ©, 2015, Chinese Society for Environmental Sciences. All right reserved. Source

Ma R.,The Institute of Hydrogeology and Environmental Geology | Shi J.-S.,The Institute of Hydrogeology and Environmental Geology | Liu J.-C.,The Institute of Hydrogeology and Environmental Geology
Jilin Daxue Xuebao (Diqiu Kexue Ban)/Journal of Jilin University (Earth Science Edition)

Many hydrochemical variables were required to test in tradition methods in order to assess groundwater pollution, the cost was higher. More importantly, these methods could not consider the effect of interval water quality target limit on synthesis assessment. A new method was introduced in this paper: first the variable fuzzy set theory was employed to assess groundwater pollution; and then application of fuzzy rough set to evacuate critical variable, the min-decision rules were used to forecast groundwater pollution synthesis index, which was yield by fuzzy-rough set. This method was applied in Luoyang basin to evaluate its validity, the result indicated: there were five hydrochemical variables (As, Hg, Se, I, NH 3-N) played a controlled role in groundwater pollution classification. In testing data, 7 groups of samples' relative error was 0.1040-0.1725; the surplus 15 groups samples' relative error was 0.0015-0.0937. Therefore, the groundwater pollution synthesis index could be predicted by variable fuzzy sets and fuzzy-rough set theory according to the above five hydrochemical variables, which could make the monitoring cost decrease and provide reliable data source for groundwater pollution control and remediation. Source

Ma R.,The Institute of Hydrogeology and Environmental Geology | Shi J.,The Institute of Hydrogeology and Environmental Geology | Liu J.,The Institute of Hydrogeology and Environmental Geology
Environmental Earth Sciences

The traditional non-point source (NPS) pollution models mainly focus on the flow path of NPS pollutants and attenuation during the flow. Extensive data set preparation and complex results analysis for these models are the most common problems encountered by the model user. In this study a new model, fuzzy-rough sets and fuzzy inference (FRFI), was introduced to evaluate groundwater NPS pollution. The proposed model involves two steps: the algorithm of fuzzy-rough sets attribute reduction (FRSAR) was applied to yield minimal decision rules from the fuzzy information system (FIS); the fuzzy inference technique was then used to forecast a groundwater synthesis pollution index based on the minimal decision rules. This model was applied in the Luoyang Basin, examining NPS pollution factors and hydrochemical variables data to validate the effectiveness of this model. The results indicate that it is only required to collect five NPS pollution factors or three hydrochemical variables; the groundwater synthesis pollution index can be predicted using the FRFI model. The prediction error is restricted to 2.9-6.1 % and 0.8-1.6 %, respectively. Therefore, the costs of computation and monitoring can be decreased, and the user is not required to prepare massive model parameters for the FRFI model. According to analyze the correlation between NPS pollution factors and hydrochemical variables, prevention measures are provided for treatment of the endemic disease and eutrophication. The FRFI model can be suitable for groundwater NPS pollution evaluation systems. © 2012 Springer-Verlag. Source

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