Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2023, Vol. 39 ›› Issue (13): 157-164.doi: 10.11924/j.issn.1000-6850.casb2022-0459

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Development and Application of Rapid Assessment System for Soil Heavy Metal Pollution in Mango Producing Area

JIA Wenjing1(), WANG Zhe1,2(), JIANG Hu3,4, LUO Ying1, ZHANG Zhenlong1, FENG Xiyang1, ZHANG Jiaqian1, ZENG Qiuping1   

  1. 1 School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010
    2 School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230000
    3 Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Ministry of Water Resources, Chengdu 610041
    4 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2022-06-08 Revised:2022-12-07 Online:2023-05-05 Published:2023-04-27

Abstract:

In order to carry out quickly and effectively soil heavy metal pollution assessment and serve soil heavy metal pollution prevention and remediation, a soil heavy metal pollution evaluation system to realize the unified management of multi-source heterogeneous data and rapid evaluation of soil heavy metal pollution was designed and developed. The system was based on Microsoft Visual Studio 2012 platform, ArcGIS Engine technology and C# programming language, and was applied to the data management and pollution assessment of seven heavy metal elements, As, Cd, Cr, Cu, Ni, Pb and Zn, in a mango growing area in Panzhihua. The results showed that: (1) the heavy metals in soil of this mango growing area was at a heavy contamination level; (2) the highest pollution level of Cd was classified as moderate-severe pollution; (3) the comprehensive potential ecological risk was classified as a moderate hazard level; (4) the evaluation efficiency of different indices of the soil heavy metal pollution rapid evaluation system was improved by 233%-1900%, compared with the traditional evaluation method developed by GIS. The system can efficiently assess soil heavy metal pollution and manage multi-source heterogeneous soil data, and provide a scientific basis for the prevention and control of soil heavy metal pollution.

Key words: soil, heavy metal, pollution assessment, system development, multi-source heterogeneous data