节点文献
2023年某市中、小学周边儿童食品化学污染物空间分布分析
Analysis on the spatial distribution of chemical contaminants in children’s food around primary and secondary schools in a city in 2023
【摘要】 目的 分析2023年某市中、小学周边儿童食品中化学污染物的空间分布特征,为制定防控政策提供参考依据。方法 基于该市2023年相关检测数据,利用地理信息系统进行空间分布制图与空间相关性分析。结果 该市中部检出率较高,南、北及中部超标率较高;样本检出率和项目检出率均呈全局正相关(Moran’s I=0.383、0.406,P<0.05),样本超标率和项目超标率均呈负相关(Moran’s I=-0.644、-0.679,P<0.05)。局部空间分析显示,C区和E区的样本检出率呈高-高聚集,E区项目检出率呈高-高聚集;G区样本与项目超标率呈低-高聚集。E区为样本检出率热点区,H区为超标率热点区。结论 该市中、小学校周边儿童食品存在化学污染物检出与超标现象,空间聚集特征明显,对监管工作具有参考价值。
【Abstract】 Objective To analyze the spatial distribution characteristics of chemical contaminants in children’s food around primary and secondary schools in a city in 2023,in order to provide reference for formulating prevention and control policies.Methods Based on the relevant detection datas of the city from 2023,using Geographic Information System for spatial distribution mapping and spatial correlation analysis.Results That the detection rate was high in the central part of the city,while the exceedance rates were high in the southern,northern,and the central parts;Both the sample detection rate and item detection rate showed global positive spatial autocorrelation(Moran’s I=0.383,0.406;P<0.05);while the sample exceedance rate and item exceedance rate showed global negative spatial autocorrelation(Moran’s I=-0.644,-0.679;P<0.05).The local spatial analysis indicated that C and E showed high-high clustering for the sample detection rate,and E showed high-high clustering for the item detection rate,G showed low-high clustering for both sample and item exceedance rates,E was identified as a hot spot for sample detection rate,and H was a hot spot for the exceedance rate.Conclusion The presence and exceedance of chemical contaminants were found in children’s food around primary and secondary schools in the city,and the spatial clustering characteristics are obvious,which can provide reference for regulatory work.
【Key words】 around school; children’s food; chemical contaminants; spatial distribution;
- 【文献出处】 中国公共卫生管理 ,Chinese Journal of Public Health Management , 编辑部邮箱 ,2025年05期
- 【分类号】R155.5
- 【下载频次】5