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Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

Author

Listed:
  • Shouhui Pan

    (Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Kaiyi Wang

    (Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Li Wang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Zhibin Wang

    (Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Yanyun Han

    (Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

Abstract

Heavy metal pollution in farmlands is a serious threat to sustainable agricultural development and has become a major agro-ecological problem that has attracted public concern in China. This study proposes a soil–crop collaborative risk assessment model that aims to assess the potential safety risks of heavy metal pollution in farmland soils by considering the concentrations of heavy metals in soils and the accumulation effects of heavy metals in crops. Based on these effects, a decision support system for risk assessment of heavy metal pollution in farmland soil is established, in which technologies such as web-based geographic information system, quick response code, radio frequency identification, and web service are introduced as the bases. The proposed system is composed of a mobile data acquisition terminal (MDAT) and a web-based information system (WIS). The MDAT, which is a portable computerized device running on the Android platform, is used for data acquisition or query, and the WIS is used for risk assessment, data management, and information visualization. The system is employed in some county-level cities in China for risk assessment and supervision of heavy metal pollution in farmlands. The practical application results show that the system provides highly efficient decision support for risk assessment of heavy metal pollution in farmland soils.

Suggested Citation

  • Shouhui Pan & Kaiyi Wang & Li Wang & Zhibin Wang & Yanyun Han, 2017. "Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1846-:d:115552
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    References listed on IDEAS

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    1. Huanguang Qiu, 2007. "China's Agricultural Development: Challenges and Prospects," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 324-424, September.
    2. Shouhui Pan & Li Wang & Kaiyi Wang & Zhuming Bi & Siqing Shan & Bo Xu, 2014. "A Knowledge Engineering Framework for Identifying Key Impact Factors from Safety‐Related Accident Cases," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 383-397, May.
    3. Huixuan Li & Yingru Li & Ming-Kuo Lee & Zhongwei Liu & Changhong Miao, 2015. "Spatiotemporal Analysis of Heavy Metal Water Pollution in Transitional China," Sustainability, MDPI, vol. 7(7), pages 1-21, July.
    4. Hui Hu & Qian Jin & Philip Kavan, 2014. "A Study of Heavy Metal Pollution in China: Current Status, Pollution-Control Policies and Countermeasures," Sustainability, MDPI, vol. 6(9), pages 1-19, September.
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    Cited by:

    1. Fengxu Li & Jiquan Zhang & Tiehua Cao & Sijia Li & Yanan Chen & Xuanhe Liang & Xin Zhao & Junwei Chen, 2018. "Human Health Risk Assessment of Toxic Elements in Farmland Topsoil with Source Identification in Jilin Province, China," IJERPH, MDPI, vol. 15(5), pages 1-15, May.

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