Risk analysis of pesticide residue in vegetables based on spatial statistical method
Author:
Affiliation:

(1.Guizhou Provincial Center for Disease Control and Prevention, Guizhou Guiyang 550004,China;2.China National Center for Food Safety Risk Assessment,Beijing 100022,China)

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Objective The change and regularity of spatial pattern distribution of pesticide residues in vegetables were analyzed, the gathered hot region was found, for the monitoring, and it could provide scientific basis for supervision. Methods The pesticide residues in vegetables in 2014-2016 was analyzed by spatial statistical method for spatial distribution and spatial clustering. Results The detection rate and violation rate of pesticide residues in the vegetables were in the same distribution pattern in 2014-2016. However, the change in the past three years was relatively large. The areas with high detection rate were concentrated in the southwest and the northeast. The violation was distributed in the southwest and north. In 2014, the detection rate had an overall positive correlation in the monitoring area (P<0.05, Moran's I=0.410), and the local correlation was mainly distributed in the southwest, north and south. The violation rate had an overall positive correlation (P<0.05, Moran's I=0.111) in 2016, and the local correlation was mainly distributed in the southwest region. In 2016, the detection rate had a negative correlation (P<0.05, Moran's I=-0.087), and the local correlation was mainly distributed in the central region. The time and space scan statistics analysis showed that the violation rate and detection rate in the monitoring area were clustered. There was a clustering area (LLR=27.11, P<0.05, RR=20.04). The detection rate had two clustering areas. Class I cluster area (LLR=43.24, P<0.05, RR=6.9) was distributed in the northeast and south counties. Class II clustering area (LLR=19.13, P<0.05, RR=4.13) was distributed in the southwest area and counties. Conclusion The detection rate and violation rate of pesticide residues in vegetables showed a consistent decline during 2014-2016. The result of spatial autocorrelation and space-time scanning statistics showed the existence of aggregation. The gathering area was mainly located in the northeast and southwestern neighboring counties. The relative risk of the gathering area was greater than 4, indicating that the risk of pesticide residues in these districts was higher than that in other counties, which was a hot area for regulators to pay close attention.

    Reference
    Related
    Cited by
Get Citation

YANG Hui, LI Ning, JI Rong, HE Ping, XIAO Ge-xin. Risk analysis of pesticide residue in vegetables based on spatial statistical method[J].中国食品卫生杂志,2018,30(1):73-78.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 01,2017
  • Revised:
  • Adopted:
  • Online: April 02,2018
  • Published: