Construction and Application of Early Warning System for Soil Environmental Quality

被引:3
作者
Li X.-N. [1 ]
Ding S.-K. [1 ,2 ]
Chen W.-P. [1 ,2 ]
Wang X.-H. [3 ]
Lü S.-D. [4 ]
Liu R. [5 ]
机构
[1] Laboratory of Soil Environmental Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing
[2] College of Resource and Environment, University of Chinese Academy of Sciences, Beijing
[3] Center for Soil Environmental Protection, Chinese Academy of Environmental Planning, Ministry of Ecology and Environment, Beijing
[4] Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing
[5] Academy of Science and Technology Innovation Strategy, Henan Academy of Sciences, Zhengzhou
来源
Huanjing Kexue/Environmental Science | 2020年 / 41卷 / 06期
关键词
Agricultural land; Development land; Early warning level; Prediction methods; Soil early warning system;
D O I
10.13227/j.hjkx.201911160
中图分类号
学科分类号
摘要
Early warning of soil environmental quality is an important basis for implementing classified and graded soil risk management measures. To quickly understand the regional soil environmental quality and take effective measures in time to prevent continuous soil pollution before deterioration of soil environmental quality, a simple, effective, and quantifiable early warning system for soil environmental quality of agricultural land and development land was respectively established based on environmental capacity and pollutant input-output flux theory. Furthermore, corresponding method and mechanism for early warning were defined based on soil environmental quality standards, food safety standards, and carcinogenic risk coefficients. The agricultural land in Youxian county and the development area within the fifth-ring in Beijing were chosen to assess the soil environmental quality and predict risks of heavy metals exceeding standards in different scenarios. The results show that the soil environmental quality of the agricultural land in Wangling and Taoshui Town both can be classified to the fifth early warning level. Compared with other remediation measures, the Cd contents of soil can be lowered to risk screening levels in the short term by the scenario of "paddy straw not returned to the field". The soil quality in the development area within the fifth-ring in Beijing belongs to the first early warning level under both the "no intervention" and the "decreased input" scenarios, which means that Cd, Cu, Pb, and Zn all need more than 50 years to reach their threshold values to pose potential health risks. © 2020, Science Press. All right reserved.
引用
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页码:2834 / 2841
页数:7
相关论文
共 37 条
  • [1] Peng C., Wang M.E., Chen W.P., Et al., Mass balance-based regression modeling of Cd and Zn accumulation in urban soils of Beijing, Journal of Environmental Sciences, 53, pp. 99-106, (2017)
  • [2] Kumar V., Thakur R.K., Kumar P., Assessment of heavy metals uptake by cauliflower (Brassica oleracea var. Botrytis) Grown in Integrated Industrial Effluent Irrigated Soils: A Prediction Modeling study, Scientia Horticulturae, 257, (2019)
  • [3] Razanamahandry L.C., Andrianisa H.A., Karoui H., Et al., Prediction model for cyanide soil pollution in artisanal gold mining area by using logistic regression, CATENA, 162, pp. 40-50, (2018)
  • [4] Manna A., Maiti R., Geochemical contamination in the mine affected soil of Raniganj Coalfield-a river basin scale assessment, Geoscience Frontiers, 9, 5, pp. 1577-1590, (2018)
  • [5] Chon H.T., Lee J.S., Lee J.U., Heavy metal contamination of soil, its risk assessment and bioremediation, Geosystem Engineering, 14, 4, pp. 191-206, (2011)
  • [6] Cachada A., Da Silva E.F., Duarte A.C., Et al., Risk assessment of urban soils contamination: the particular case of polycyclic aromatic hydrocarbons, Science of the Total Environment, 551-552, pp. 271-284, (2016)
  • [7] Wang B., Research on prediction of soil heavy metal pollution and evaluation-early warning of ecological risk, (2018)
  • [8] Sun Y.L., Prediction on heavy metal contamination in Zinc-Lead mine soil of county in western Sichuan based on the gray system theory, (2014)
  • [9] Wu C.F., Prediction and early-warning for soil environmental safety in a mixed contaminated area-a case study in Fuyang City, Zhejiang Province, China, (2008)
  • [10] Gao Y.X., Wang X.H., Li Z.T., Et al., Environmental risk assessment of soil and early warning system research for China, Environmental Science & Technology, 38, 6, pp. 410-414, (2015)