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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 | Year: 2016

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.


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 | Year: 2015

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.


Wang F.,Jilin University | Li Q.,Jilin University | Liu H.,Jilin University | Geng X.,The Institute of Hydrogeology and Environmental Geology
Water (Switzerland) | Year: 2016

The Mixing Cell Model (MCM) is a useful tool that can be applied to areas with limited hydrogeological data, such as arid areas in northwest China, to transform available groundwater hydrochemical data into quantitative information about an aquifer. In this study, we used the MCM to quantify water circulation in the study area and to analyze information such as the supply source composition and proportion of the confined aquifer, the main supply aquifer for local drinking water. The MCM simulation results showed that the confined aquifer in the study area is mainly recharged by leakage of water from the upper unconfined aquifer and lateral flow from the eastern and southern tablelands. Unconfined groundwater and lateral flow contributed to 67.69% and 32.31% of the recharge, respectively. The groundwater circulation model of the study area provided quantitative information about water circulation in different parts of the study area, represented by different cells known as A-F. The information from this model provides a scientific basis for the sustainable use and development of water resources in different parts of the study area. © 2016 by the authors.


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) | Year: 2012

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.


Zhang Z.-J.,The Institute of Hydrogeology and Environmental Geology | Fei Y.-H.,The Institute of Hydrogeology and Environmental Geology | Guo C.-Y.,The Institute of Hydrogeology and Environmental Geology | Qian Y.,The Institute of Hydrogeology and Environmental Geology | Li Y.-S.,The Institute of Hydrogeology and Environmental Geology
Jilin Daxue Xuebao (Diqiu Kexue Ban)/Journal of Jilin University (Earth Science Edition) | Year: 2012

The North China Plain is one of the important economic zones of China, with a population of 0.13 billion, and its main water source is groundwater.. The groundwater has been polluted due to the sewage from industry and town living and the chemical fertilizer and pesticide from agriculture.. The authors first analyzed several methods of groundwater contamination assessment and put forth a new method called Single Factor Standard Index Method which is obtained on the basis of Single Factor Index Method.. Field investigation was conducted comprehensively.. 6063 groups of groundwater samples were got and 34 factors were tested of each group.. According to the Single Factor Standard Index Method, 35.47% samples have been contaminated by human activities, mainly slightly contamination.. Deep groundwater is better than shallow groundwater and uncontaminated deep groundwater accounts for 87.14%.. Using the Single Factor Standard Index Method, the indexes can be compared and the contamination degree can be showed directly.. The results of using Single Factor Standard Index Method give a basis for groundwater contamination prevention.


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 | Zhang Y.-L.,The Institute of Hydrogeology and Environmental Geology
Shuili Xuebao/Journal of Hydraulic Engineering | Year: 2012

A new model Cloud-Markov has been developed to accurately estimate the hydraulic conductivity in this paper. The model mainly includes two steps: first, the cloud model is employed to predict the hydraulic conductivity of sediment according to its grain size distribution; and then the weight Markov theory is used to simulate the randomness of prediction error distribution. The simulated value of weight Markov theory is employed to correct the predicted results of cloud model. The corrected predicted result is output as the final calculation result of the Cloud-Markov model. This model has been applied to a typical region in the southeast Hutuo River alluvial-pluvial fan in the North China Plain. The results indicate that comparing with hydraulic conductivity measured by permeameter test, the error relative number listed between 0.62~1.34, through the weight Markov method error correction, the error relative number concentrated to 0.74~1.27. Compared with the empirical formulas, the prediction accuracy of both Cloud and Cloud-Markov model satisfies the requirement of groundwater resource evaluation. The Cloud-Markov has higher calculation accuracy and wider application range.


Gui C.-L.,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 | Ma R.,The Institute of Hydrogeology and Environmental Geology
Shuili Xuebao/Journal of Hydraulic Engineering | Year: 2014

This study aims at fine calculation of alluvial-proluvial plain region and providing fundamental data for construction of solute transport model in the further research. Hydraulic conductivities of aquifers in the study area are predicted through establishing a coupling model between artificial neural network (ANN) and generalized likelihood uncertainty estimation (GLUE), and uncertainty of the model parameters is analyzed. Markov Chain Monte Carlo (MCMC) was used to replace Monte Carlo (MC) in common GLUE, and coupled it with artificial neural network technology, an overall model of aquifer hydraulic conductivity prediction and its uncertainty analysis (GLUE-ANN) was built by using 150 typical grain-size fraction samples as input data. Via case study in a typical area of North China Plain the study corroborates a better sampling efficiency and optimization capability; compared to measured values of hydraulic conductivity, relative errors of the GLUE-ANN model are between 1.55% and 23.53%, the calculation precision of the model meets the requirements of groundwater resources assessment. By posterior distributions of the model parameters, the areas of parameter global optimum are obtained, which indicates the model is capable of reasonably reflecting parameter uncertainty of hydrogeological model.


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 | Year: 2013

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.


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 | Year: 2014

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.

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