刘光栋, 吴文良, 靳乐山, GabrielGulis. 华北农业高产粮区地下水硝酸盐污染环境价值损失评估技术研究——以山东省桓台县为例[J]. 中国生态农业学报(中英文), 2005, 13(2): 130-133.
引用本文: 刘光栋, 吴文良, 靳乐山, GabrielGulis. 华北农业高产粮区地下水硝酸盐污染环境价值损失评估技术研究——以山东省桓台县为例[J]. 中国生态农业学报(中英文), 2005, 13(2): 130-133.
LIU Guang-Dong, WU Wen-Liang, JIN Le-Shan, Gabriel Gulis. Evaluation techniques on the losses of environmental value of groundwater nitrate pollution sourced from high-yielding farmlands in North China—A case study from Huantai County,Shandong Province[J]. Chinese Journal of Eco-Agriculture, 2005, 13(2): 130-133.
Citation: LIU Guang-Dong, WU Wen-Liang, JIN Le-Shan, Gabriel Gulis. Evaluation techniques on the losses of environmental value of groundwater nitrate pollution sourced from high-yielding farmlands in North China—A case study from Huantai County,Shandong Province[J]. Chinese Journal of Eco-Agriculture, 2005, 13(2): 130-133.

华北农业高产粮区地下水硝酸盐污染环境价值损失评估技术研究——以山东省桓台县为例

Evaluation techniques on the losses of environmental value of groundwater nitrate pollution sourced from high-yielding farmlands in North China—A case study from Huantai County,Shandong Province

  • 摘要: 应用人力资本法、防护支出法和支付意愿调查法评估了华北高产粮区桓台县地下水农业面源硝酸盐污染的环境经济损失,并分析了不同评估技术对农业面源硝酸盐污染地下水环境价值损失评估的适用性,其适用性优先序为防护支出法的深井工程法>脱硝工程法≥人力资本法>支付意愿调查法。2002年该县由农业地下水硝酸盐污染造成的年环境价值损失约为880万元(860.8~1170.1万元/ɑ),占当年农业总产值的1.1%~1.5%。

     

    Abstract: By using the human capital approach (HCA),preventive expenditure approach (PEA) and contingent valuation method (CVM),the losses of environmental value of groundwater nitrate pollution sourced from a typical highyielding farmland,Huantai County,are evaluated.And the suitabilities of different methods for estimating the agriculture-related groundwater problems are analyzed.The precedence order of suitability is PEA by well-drilling project>PEA by de-nitrate project≥HCA>CVM.For the whole county in 2002,the loss of environmental value of groundwater nitrate pollution caused by farming is about 8.8 million yuan/year,ranging from 8.608 to 11.701 million yuan/year.This value accounts for 1.1%~1.5% of the gross agricultural production.

     

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