Numerical Simulation of Migration and Transformation of Petroleum Hydrocarbons in Soils

Cui, Wentao; You, Xue Yi; Wang, Xin Xin; Chen, Yu

doi:10.4028/www.scientific.net/amr.1073-1076.653

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…The evaluation includes two groups of tests: the control group and the remediation group with the equal amount of total PHs pollutions. The detailed experimental condition and data of evaluation come from the early study [5].…”

Section: Evaluation Index Systemmentioning

confidence: 99%

“…The plumbum and cadmium content in soil are smaller than the limit values of heavy metal of the national agricultural soil of China and the salinity is 0.8%, so their effect on the living beings in soil is neglected. The simulation shows that the PHs migrate little into deep soil layer and groundwater, so the PHs pollution effect to deep soil layer and groundwater is neglected [5]. The Suaeda isn't directly food for humans and acts mostly as livestock feed, so the direct influence of the adsorbed PHs of plant on human health is not considered.…”

Section: Evaluation Index Systemmentioning

confidence: 99%

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The Evaluation of Plant-Microbial Remediation of Petroleum Contaminated Soil

Ma¹,

You²,

Wang³

et al. 2015

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

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The efficiency evaluation of plant-microbial remediation of petroleum hydrocarbons (PHs) contaminated soil is investigated from two levels including single factor pollution risk and soil environmental quality comprehensive evaluation. The single factor index method was used to determine the risk level of PHs polluted soil. The comprehensive index method was used to determine soil quality improvement. The results show that the plant-microbial remediation has a good remediation effect. The topsoil is basically in the level of clean or slight pollution while the peak PHs concentration in soil depth is in the level of low-grade pollution. The soil fertility is improved to general level after restoration. The degree of potential risk is low.

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Section: Evaluation Index Systemmentioning

confidence: 99%

Section: Evaluation Index Systemmentioning

confidence: 99%

The Evaluation of Plant-Microbial Remediation of Petroleum Contaminated Soil

Ma¹,

You²,

Wang³

et al. 2015

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Self Cite

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“…It is suitable for solving uncertain problems. [8] The basic steps of fuzzy comprehensive evaluation. (1) To determine the weight of each index, this paper uses the improved AHP method.…”

mentioning

confidence: 99%

Some Application Researches on the Performance Evaluation of Manufacturing Supply Chain Collaboration

Wang

2014

AMR

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On the basis of analyzing the performance evaluation research of supply chain collaboration and following the level principle of modeling and the construction principles of it, the paper build the index system for manufacturing supply chain collaboration performance evaluation combined with the four necessary links involved of it, namely, logistics, the flow of funds, information flow and market stream. And the synthesized evaluation of it is discussed by using the fuzzy comprehensive evaluation method. And then, taking a typical electronic product manufacturing supply chain as an example for the empirical analysis, some beneficial conclusions and relevant guidance advices have been put forward. Hoping it can provide a theoretical basis and valuable references for carrying out the supply chain collaboration in our manufacturing enterprises.

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