| 决策单元-多点增量采样法在重金属污染农田土壤-作物协同监测中的应用 |
| |
| 引用本文： | 毛娟,黄永杰,宋静,赵晓峰,唐伟.决策单元-多点增量采样法在重金属污染农田土壤-作物协同监测中的应用[J].农业环境科学学报,2021,40(3):535-543. |
| |
| 作者姓名： | 毛娟 黄永杰 宋静 赵晓峰 唐伟 |
| |
| 作者单位： | 安徽师范大学生态与环境学院, 安徽 芜湖 241000;生物环境与生态安全安徽省高校省级重点实验室, 安徽 芜湖 241000;中国科学院南京土壤研究所, 南京 210008;中国科学院南京土壤研究所, 南京 210008;中国科学院大学, 北京 100049;贵州师范大学地理与环境科学学院, 贵阳 550001;中国科学院南京土壤研究所, 南京 210008 |
| |
| 基金项目： | 国家标准化委员会推荐性国家标准制定项目（20193378-T-326）；安徽省高等学校自然科学基金项目（KJ2019A0507） |
| |
| 摘 要： | 农用地土壤环境监测现行导则对于具体采样区混合样所需的分点数量仅做了原则性的规定,采样实践中通常按照最低要求执行,为探讨分点数量对重金属污染农田土壤-作物协同监测数据总体估计误差(The overall estimation error, OEE)的影响,选择安徽铜陵某重金属污染农田为研究对象,在8个小区中运用决策单元-多点增量采样法(Decision Unit-Multi Increment Sampling,DUMIS)分别采集5、50点和100点土壤混合样及对应的小麦籽粒样品,并分析了野外采样、室内制样和实验室分析各环节的误差。结果表明:土壤及小麦籽粒样品Cd、Pb含量室内制样与实验室分析准确度及精密度符合相关标准的要求,不同环节对土壤Cd、Pb含量OEE的贡献依次为实验室分析室内制样野外采样。小麦籽粒Cd含量监测数据的OEE主要来源于野外采样;由于籽粒Pb含量较低,OEE主要来源于实验室分析步骤。在本研究中绝大多数情况下,不同分点数量没有影响土壤和小麦籽粒样品Cd、Pb污染的评价结果,但本研究结果表明,在进行农用地土壤-作物协同监测时,需要考虑混合样分点数量对样品代表性以及评价结果的可能影响。对于污染物组成和空间变异可能较大的农田进行采样时,在给定的采样区内,适合采用DUMIS方法,以保证样品的代表性、数据的重现性和结论的可靠性。
|
| 关 键 词： | 农用地 重金属污染 空间变异性 决策单元-多点增量采样法 总体估计误差 |
| 收稿时间： | 2020/9/28 0:00:00 |
Application of Decision Unit-Multi Increment Sampling in synchronized soil and crop sampling in heavy metal-contaminated farmland |
| |
| MAO Juan,HUANG Yong-jie,SONG Jing,ZHAO Xiao-feng,TANG Wei.Application of Decision Unit-Multi Increment Sampling in synchronized soil and crop sampling in heavy metal-contaminated farmland[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2021,40(3):535-543. |
| |
| Authors: | MAO Juan HUANG Yong-jie SONG Jing ZHAO Xiao-feng TANG Wei |
| |
| Institution: | College of Ecology and Environment, Anhui Normal University, Wuhu 241000, China;Biological Environment and Ecological Security Provincial Key Laboratory of Universities in Anhui Province, Wuhu 241000, China;Institute of Science, Chinese Academy of Sciences, Nanjing 210008, China;Institute of Science, Chinese Academy of Sciences, Nanjing 210008, China;University of Chinese Academy of Sciences, Beijing 100049, China;School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China;Institute of Science, Chinese Academy of Sciences, Nanjing 210008, China |
| |
| Abstract: | For environment monitoring of farmland soil, the collection of mixed samples from multiple points in a given sampling area is generally required. However, in the existing sampling guidelines, only general recommendations are available for the number of subsamples required. Additionally, in practice, it is common for only the minimum number of subsamples to be collected. In the present study, we conducted Decision Unit-Multi Increment Sampling(DUMIS) in a heavy metal-contaminated farmland in Tongling, Anhui Province, to explore the effect of the number of subsamples on the overall estimation error(OEE) of soil-crop synchronized monitoring samples. Soil-wheat grain paired samples made of 5, 50, and 100 increments were collected from eight field plots. Field sampling error, sample preparation error, and laboratory analytical error were subsequently analyzed. The results showed that laboratory analysis and sample preparation errors for Cd and Pb content in soil and wheat grain samples met the precision and accuracy requirement. The contribution of different processes to the OEE of Cd and Pb content in soil increased in the following order:analytical error < sample preparation error < field sampling error. The OEE of Cd content in wheat grain mainly came from field sampling; conversely, the OEE of Pb content in wheat grain was dominated by analytical error owing to the low Pb content in wheat grain. For most cases in this study, the number of increments did not lead to different evaluation results with regard to the heavy metal contamination of soil and wheat grain samples. However, the results of this study indicated that environmental investigation of farmland soil needed to consider the possible effect of the number of increments on sample representativeness and the evaluation results. To ensure sample representativeness, data reproducibility, and reliability of the conclusion, DUMIS is the recommended method for sampling in an area with high compositional and distributional heterogeneity. |
| |
| Keywords: | arable land heavy metal contamination spatial heterogeneity Decision Unit-Multi Increment Sampling overall estimation error |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《农业环境科学学报》浏览原始摘要信息 |
| 点击此处可从《农业环境科学学报》下载免费的PDF全文 |
|
