Your Location：
Home >
Browse articles >
Study on the method of determining the sampling number of soil heavy metals in known variation units under skew distribution
Science and Technology Backyard and Green Low\-Carbon Column | Updated：2026-05-07
Previous|Next

    • Study on the method of determining the sampling number of soil heavy metals in known variation units under skew distribution

    • HUANG Yajie , JIA Fenchao , CUI Yanzhi , ZHOU Yan , LI Junchao , LIU Haidong
    • Journal of China Agricultural University Vol. 29, Issue 12, Pages: 279-289(2024)

    • DOI： 10.11841/j.issn.1007-4333.2024.12.24     

      CLC：

    Scan QR Code

  •  
  •  

  • Full Text(HTML)

  • Figs( 1 ) Tabs( 7 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

56

Views

21

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Research progress on coupling regularity between composite sampling numbers and spatial variations of soil heavy metals
Flood risk analysis in cotton for Hubei Province
Establishment of modeling of energy requirementfor broiler under different stages
Responses of soil moisture content measured bynear-infrared sensor to calibration models
Comparison of the simulation effect of different growing degree-days calculating methods on crop development processes

Related Author

ZHOU Yan
LI Junchao
BIAN Huafeng
LIU Haidong
HUANG Yajie
CUI Yanzhi
LU Zhi-guang
LIAO Shu-hua

Related Institution

Environmental Development Center of the Ministry of Ecology and Environment
College of Agronomy and Biotechnology,China Agricultural University
Chinese Academy of Meteorological Sciences
College of Resources and Environment Sciences, China Agricultural University
National Meteorological Information Centre