欢迎访问中国科学院大学学报,今天是

中国科学院大学学报 ›› 2014, Vol. 31 ›› Issue (1): 85-91.DOI: 10.7523/j.issn.2095-6134.2014.01.013

• 环境科学与地理学 • 上一篇    下一篇

基于模糊层次综合评价模型的农业安全施肥评价

肖玖金1,2, 卢昌泰1, 马红星3, 张健1, 李旭东2   

  1. 1. 四川农业大学, 四川 雅安 625014;
    2. 中国科学院成都生物研究所, 成都 610041;
    3. 四川省平昌县农业局, 四川 平昌 636400
  • 收稿日期:2013-02-28 修回日期:2013-04-23 发布日期:2014-01-15
  • 通讯作者: 李旭东,E-mail:lixd@cib.ac.cn
  • 基金资助:

    四川省教育厅项目(12ZB307;13ZA0258)和四川农业大学培育计划资助

Evaluation of agricultural fertilizing-security based on hierarchical fuzzy recognition model

XIAO Jiujin1,2, LU Changtai1, MA Hongxing3, ZHANG Jian1, LI Xudong2   

  1. 1 Sichuan Agricultural University, Ya'an 625014, Sichuan, China;
    2 Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China;
    3 Agriculture Bureau of Pingchang County, Pingchang 636400, Sichuan, China
  • Received:2013-02-28 Revised:2013-04-23 Published:2014-01-15

摘要:

为综合评价农业安全施肥状况,选取9个评价指标,按照5级评价标准,利用层次分析法确定各指标权重,构建农业安全施肥模糊层次综合评价模型. 结果表明,研究区农业安全施肥等级从2006到2011年逐年好转,预测到2015和2020年将达到较安全状态. 评价结果符合区域实际情况.

关键词: 模糊层次综合评价模型, PSR模型, 农业安全施肥, 评价

Abstract:

In order to evaluate the agricultural fertilizing-security, 9 indicators are selected,five-grade assessment standard is adopted, and index weights are established by analytical hierarchy process to build up an agricultural fertilizing-security evaluation model. By taking Pingchang county in northeastern Sichuan province as an example, the evaluation results show that the status of farmland health was improved from 2006 to 2011 in the study area and that the status will be better in the period from 2015 to 2020. The comparison shows that the evaluation results using this model are in agreement with the actual situation in the study area.

Key words: hierarchical fuzzy recognition model, pressure-state-response framework, agricultural fertilizing-security, evaluation

中图分类号: