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Volume 38 Issue 3
Jun.  2020
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2020  >  38(3): 174-179
XUE Tong-lai, ZHAO Dong-hui, HAN Fei. SVR WATER QUALITY PREDICTION MODEL BASED ON GA OPTIMIZATION[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(3): 123-127. doi: 10.13205/j.hjgc.202003021
Citation: CHEN Yong-jun, SUN Ru-hua, WANG Xiang, XU Feng. NUMERICAL SIMULATION OF POLLUTED SITES BASED ON COMSOL THERMAL ENHANCEMED SVE TECHNOLOGY[J]. ENVIRONMENTAL ENGINEERING , 2020, 38(3): 174-179. doi: 10.13205/j.hjgc.202003029
shu

NUMERICAL SIMULATION OF POLLUTED SITES BASED ON COMSOL THERMAL ENHANCEMED SVE TECHNOLOGY

doi: 10.13205/j.hjgc.202003029

  • 1. National Engineering and Research Center for Mountainous Highways, Chongqing 400000, China;

  • 2. College of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221000, China;

  • 3. College of Geosciences, Chengdu University of Technology, Chengdu 610000, China

  • Received Date: 2019-07-19
    Abstract
  • In this paper, COMSOL simulation software was used to simulate the thermal response unit of SVE technology with a scale of 2 m×2 m×1 m, for the temperature field variation of 1 m depth below the surface and the migration state of pollutants in the plane with a depth of 0.5 m below the surface. The temperature field simulation of the scale model showed that when the heat source power was 80 kW/m3 with a duration of 70 h, the highest and lowest temperature of the site reached the stable values of 2500 K and 500 K, respectively. And then velocity field was applied at this temperature, when the negative pressure of pumping hole reached 101.325 kPa, and the peak migration velocity reached 0.3 m/s at 6 min. Migration velocity showed a most obvious decline in 6~10 min and got basically stable after 10 min. Therefore, most of the symbolizing pollutants had been removed in 10 min, followed by the trailing effect that was commonly seen in actual projects.
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    • References(13)
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