象限分析法在第二次全国污染源普查数据审核中的应用

刘孝富; 张志苗; 王莹; 刘柏音; 邱文婷; 罗镭

doi:10.12153/j.issn.1674-991X.20190194

象限分析法在第二次全国污染源普查数据审核中的应用

doi: 10.12153/j.issn.1674-991X.20190194

中国环境科学研究院环境信息研究所

详细信息

作者简介:
刘孝富(1983─),男,副研究员,博士,主要研究方向为环境数据挖掘、生态环境规划,liuxf@craes.org.cn

中图分类号: X501
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- 被引次数: 0
出版历程
- 收稿日期: 2019-11-15
- 刊出日期: 2020-07-20

Application of quadrant analysis to data audit in the Second National Pollution Source Census

Institute of Environmental Information Sciences, Chinese Research Academy of Environmental Sciences

摘要

摘要: 象限分析法是依据事物的2个重要属性进行趋势分类分析,从而找出解决问题的方法,是异常值筛选的重要方法。分别以工业源数量审核以及工业产量、燃煤使用量审核为例,分析了象限分析法在第二次全国污染源普查清查阶段和普查阶段的应用。清查阶段以识别数量漏报、少报为目标,将分布于象限右下的点位作为异常对象;普查阶段以识别数据填报异常为目标,将分布于象限左上和右下的点位作为异常对象。与直接对比法、专家经验法、排序法、占比法、平均值法、直方图法等常规方法相比,象限分析法具有客观性强、所需样本量少、操作简单的特点,特别适合污染源普查的数据审核,也可弥补普查数据审核中行业专家的不足。
- 污染源普查 /
- 象限分析法 /
- 异常值筛选 /
- 数据审核
Abstract: Quadrant analysis is an important method of outlier screening, which can find solutions to the problem through trend classification of two important attributes of things. Taking the industrial source quantity audit, and industrial output and coal usage audit as examples, the application process of quadrant analysis in the inventory and census stages of the Second National Pollution Source Census was analyzed. The target in the inventory stage was to identify the missing or underreported quantity, so the points distributed in the lower right quadrant were regarded as the abnormal objects. While in the census stage, the target was to report the outlier, so the points distributed in the upper left and lower right quadrants were regarded as the anomalous objects. Compared with the conventional methods such as direct comparison, expert experience judgment, ranking and proportion analysis, average and histogram method, quadrant analysis has the characteristics of strong objectivity, with fewer samples and simple operation. It is extremely suitable for the data audit of pollution source census, and can also make up for the lack of industry experts in the data audit.
- pollution source census /
- quadrant analysis /
- outlier screening /
- data audit

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参考文献(16)

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