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Prediction of arsenic for farmland soil based on multi source environmental data and random forest model

  • 【作者】Shi, G.,Liu, G.,Zhao, L.,Su, Y.,Bi, R.
  • 【刊名】Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae
  • 【作者单位】a School of Resources and Environment, Shanxi Agricultural University, Taigu, 030801, China b Research Center for Scientific Development in Fenhe River Valley, Taiyuan Normal University, Jinzhong, 030619, China c State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
  • 【年份】2020
  • 【卷号】Vol.40 No.8
  • 【页码】2993-3000
  • 【ISSN】0253-2468
  • 【关键词】GEOBASE Subject Index agricultural land agricultural soil arsenic geoaccumulation numerical method prediction soil pollution spatial distribution spatial variation topography 
  • 【摘要】 Different models have important effects on the prediction accuracy of spatial distribution of soil pollutants. The existed methods have limitations in simulating spatial variation and distribution of soil pollutants and identifying the key environmen...
  • 【文献类型】 期刊
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