生态与农村环境学报 ›› 2013, Vol. 29 ›› Issue (3): 364-369.doi:

• 研究方法 • 上一篇    下一篇

基于层次全息模型的农业土地利用环境风险识别

卓东,刘黎明,起晓星,刘朝旭,袁承程   

  1. 中国农业大学资源与环境学院
  • 收稿日期:2012-11-16 修回日期:2013-04-11 出版日期:2013-05-25 发布日期:2013-06-07
  • 通讯作者: 刘黎明 中国农业大学资源与环境学院 E-mail:liulm@cau.edu.cn
  • 作者简介:卓东(1987-),男,四川资阳人,硕士生,主要从事农业土地利用的环境效应研究。E-mail:zhuodong2006@163.com
  • 基金资助:

    国家自然科学基金重点资助项目(41130526)

Environmental Risk Identification of Agricultural Land Use Based on Hierarchical Holographic Modeling (HHM) Method

ZHUO  Dong, LIU  Li-Ming, QI  Xiao-Xing, LIU  Chao-Xu, YUAN  Cheng-Cheng   

  1. College of Resources and Environmental Sciences,China Agricultural University
  • Received:2012-11-16 Revised:2013-04-11 Online:2013-05-25 Published:2013-06-07
  • Contact: LIU Li-Ming College of Resources and Environmental Sciences,China Agricultural University E-mail:liulm@cau.edu.cn

摘要: 提出了基于层次全息模型(HHM)框架识别农业土地利用环境风险的方法:通过构建农业土地利用环境风险识别的HHM框架,从多维度描述农业土地利用过程中存在的9大类别风险源,并应用双重标准风险矩阵方法对各类别风险源进行初步筛选、过滤和分级;在此基础上,依据多重准则标准和定量化风险矩阵进一步对各个环境风险因子进行定量评估。以湖南省桃江县为例,应用HHM风险识别方法对该县农地利用的环境风险进行系统识别,结果表明桃江县农地利用的主要环境风险源包括重金属污染、水体富营养化、污水灌溉和工厂排污。

关键词: 农业土地利用, 层次全息模型(HHM), 风险识别, 农业环境风险

Abstract: Hierarchical holographic modeling (HHM) method was applied to analyze and identify environmental risks of agricultural land uses from the perspective of land use system. Through creating HHM framework for environmental risk identification of agricultural land use, 9 major groups of risk sources were described from a multiple dimensional angle, and screened, filtered and graded using a dual-standard risk matrix. On such a basis and the multi-criterion standard and quantitative risk matrix, the various environment risk factors were further evaluation evaluated quantitatively. In the end, Taojiang County of Hunan Province was selected as a case for study, and environmental risks of the agricultural land use of the county were systematically identified using the HHM method. Results show that heavy metal pollution, water body eutrophication, sewage irrigation and factory pollution discharge are the primary environmental risks of the agricultural land use in the study area, to which more attention should be paid in environmental risk warning and prevention.

Key words: agricultural land use, hierarchical holographic modeling (HHM), risk identification, agricultural environment risk

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