.png){kind=icon}
返回
Keywords , , , , .
.png){kind=icon}
PRE
AI
DOI：10.1016/j.coelec.2022.101115.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This work reviews the recent progress in physical and math-ematical modelling of electrochemically assisted soil remedi-ation processes and focuses especially on those treatments that aim to remove organic pollution. It introduces the impor-tance of modelling and simulation, not only to understand, but also to manage more efficiently the remediation of polluted sites. Special emphasis is taken in the information generated in the last five to ten years, trying to shed light on how the understanding of these treatments has improved in this period. To do this, two different sections introduce the main challenges in mathematical and physical modelling, merging in a final section, that shows the expected future trends in electro-chemically assisted soil remediation modelling. Regarding physical modelling, the size of the installation used in the study and the novelty of the application of the technology have been used as the key inputs for this review. Regarding mathematical modelling, the inputs used to conduct the review have been the typology of numerical code, the processes included in the model and the way in which the electrolyte is considered in the model. Final remarks highlight the importance that modeling will take in the near future to increase the technology readiness level of these treatments and to promote their massive appli-cation to the remediation of polluted sites.
Keyword:
Phenomenological
Modelling
Soil remediation
Electrokinetics
Phys- ical modelling
期刊
IF:
6.9
论文数:
1.7K
被引数:
8.6K
机构
引用论文
.png){kind=icon}
Modeling electrokinetic transport and biogeochemical reactions in porous media: A multidimensional Nernst-Planck-Poisson approach with PHREEQC coupling模拟多孔介质中的电动输运和生物地球化学反应: PHREEQC耦合的多维nernst-planck-poisson方法
OAAI
OAAI分享收藏Guided Autowave Pulse Coupled Neural Network (GAPCNN) based real time path planning and an obstacle avoidance scheme for mobile robots基于引导自动波脉冲耦合神经网络 (GAPCNN) 的移动机器人实时路径规划和避障方案
PREAI
分享收藏
查看更多内容