城市流通蔬菜污染监测的空间预警分析  

The Spatial Early Warning Analysis for Urban Circulated Vegetable Pollution Monitor

作　　者：肖莉[1] 岑冠军[1] 张国权[1] 

机构地区：[1]华南农业大学理学院,广东广州510640

出　　处：《数理统计与管理》2013年第4期699-705,共7页Journal of Applied Statistics and Management

基　　金：广东省科技计划项目(2007B030603002);华南农业大学校长基金

摘　　要：针对城市流通蔬菜污染问题中涉及到空间因素,本文提出利用空间统计学的模拟方法,通过获取多个不同模拟结果之间的差异来揭示研究区域蔬菜污染的整体空间分布形态。文章以中山市2010年12月6种常见蔬菜(上海青、菜心、生菜、白菜、芥兰、番茄)抽检数据为研究对象,给出每种蔬菜污染的空间分布模拟结果,再以6种蔬菜的污染监测预警级别为标准,得到研究区域中不同蔬菜污染的空间预警分析结果,该结果为政府部门对蔬菜污染的监控管理提供了科学依据。Directing at the spatial factors of the urban circulating vegetable pollution, the simulation method in Geostatistics was applied to reveal the overall spatial distribution of the vegetable pollution in the study area by obtaining differences among various analog results to. The case study was from Zhongshan City, China on December 2010. Six daily sampling inspected common vegetables （pakchoi, flowering cabbage, lettuce, Chinese cabbage, leaf mustard and tomato） were analyzed in the paper. The author got the spatial distribution simulation results of each kind of vegetable pollution, and then based on standard pollution spatial monitoring and warning levels of six different vegetable, the spatial early warning analysis can be received for the different vegetable pollution in the studied areas. The results provide scientific ground for the vegetable pollution.

关 键 词：模拟 空间统计 蔬菜污染 预警 

分 类 号：O212[理学—概率论与数理统计] S114[理学—数学]