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  • 标题:Research Progress and Prospects of Soil Pollution Assessment and Prediction Models
  • 本地全文:下载
  • 作者:Xiuxia Li ; Wei Zhu ; Yufang Qin
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:304
  • 期号:5
  • 页码:1-7
  • DOI:10.1088/1755-1315/304/5/052042
  • 出版社:IOP Publishing
  • 摘要:Soil pollution has become a worldwide environmental problem. The assessment and prediction of soil pollution status is also the focus of scholars at home and abroad. In general, the soil pollution assessment and prediction has experienced the field investigation phase, the statistical analysis phase and the process simulation phase, each of which reflects different levels of the discipline. With the enhancement of today's big data processing technology and management capabilities, as well as the increasing popularity of aerial remote sensing(RS) and unmanned aerial vehicle (UAV) low-altitude RS applications in the environmental field, it is necessary to integrate these new technologies in time to develop highly efficient models to provide strong technical supports for soil pollution control and restoration decision-making.
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