相似度在不明固体废物来源分析中的案例
A case study of orgin judgment of unknown solid waste by use of on-site similarity analysis
-
摘要: 基于主要氧化物、微量金属等含量指纹信息,应用相似度方法推测了某化工遗留场地内不同深度土壤状“不明固体废物”的来源;同时讨论了含量指纹信息数据标准化对相似度系数的影响,以及相似度系数与分歧系数的对应关系.通过对比“不明固体废物”和场地外对照土壤在常量氧化物、微量金属含量指纹信息的相似程度,并结合样品中挥发性有机物等痕量物质随埋藏深度的含量变化趋势和种类分布特征,认为所有监测点位各深度“不明固体废物”实为场地内受污染的土壤.数据标准化处理后相似度系数有较大变化,与分歧系数有更为规律的对应关系,并暂定极值标准化后相似度系数在“必然相似”、“可能相似”定性判断上的临界参考点分别为0.8和0.6,为环境管理提供参考.Abstract: Based on the fingerprint information (i.e. contents of oxides and trace metals), the present study firstly applied similarity analysis to judge whether solid waste disposal in a former chemical industry plant was intentional. The fingerprint information showed clear influences on the standardized similarity coefficient, and these influences were discussed. The relationship between similarity and divergence coefficients was also well described. By comparing with the fingerprint information of the reference sites, we concluded that the "suspected solid waste disposal" behaviors in all the monitoring sites were actually unintentional. This conclusion was also supported by other information, i.e. depth distribution and species distribution of volatile organic compounds. Standardization of similarity coefficient will be greatly helpful to build the connections between similarity and divergence coefficients, and the cut-off values were tentatively determined as 0.8 and 0.6 for "high similarity" and "possible similarity", respectively. This study proposed a powerful and quantitative tool, which might be useful for environmental management in the future.
-
Key words:
- solid waste /
- X-ray fluorescence spectrometry /
- fingerprint /
- similarity /
- coefficient divergence /
- standardization
-
[1] 林俊强, 彭期冬, 任杰, 等. 赤水河与金沙江下游河段鱼类生境条件的相似性分析[J]. 淡水渔业, 2014, 44(6):93-99. LIN J Q, PENG Q D, REN J, et al. Similarity analysis of fish habitats between the Chishui River and downstream reaches of the Jinsha River[J]. Freshwater Fisheries, 2014, 44(6):93-99(in Chinese).
[2] 袁嘉祖. 两个生态环境相似性计算方法的探讨[J]. 生态学杂志, 1987, 6(6):55-56 ,45. YUAN J Z. Discussion on two ecological similarity calculation method[J]. Chinese Journal of Ecology, 1987, 6(6):55-56,45(in Chinese).
[3] 郭波莉,孙淑敏,魏益民. 羊肉产地指纹图谱溯源技术研究[M]. 北京:科学出版社, 2014. GUO B L, SUN S M, WEI Y M. Study on geographical origin traceability techniques of lamb meat based on fingerprint analysis[M]. Beijing:Science Press, 2014(in Chinese). [4] 张晓焱, 苏学素, 焦必宁, 等. 农产品产地溯源技术研究进展[J]. 食品科学, 2010, 31(3):271-278. ZHANG X Y, SU X S, JIAO B N, et al. Research progress in methods for geographical origin traceability of agricultural products[J]. Food Science,2010, 31(3):271-278(in Chinese).
[5] 孙其然, 向平, 沈保华, 等. 气相色谱-质谱指纹图谱在鉴别贵州茅台酒中的应用[J]. 色谱, 2010, 28(9):833-839 (in Chinese). SUN Q R, XIANG P, SHEN B H, et al. Identification of Kweichow Moutai liquor by gas chromatography-mass spectrometry fingerprint[J]. Chinese Journal of Chromatography, 2010, 28(9):833-839(in Chinese).
[6] 谢建军, 陈小帆, 相大鹏, 等. 气相色谱指纹图谱法快速鉴别红葡萄酒真假[J]. 酿酒科技, 2012(9):107-111. XIE J J, CHEN X F, XIANG D P, et al. Research on rapid identification of true or false red grape wine based on GC fingerprints[J]. Liquor-Making Science & Technology, 2012 (9):107-111(in Chinese).
[7] 曹进, 徐燕, 张永知, 等. 栀子药材的指纹图谱整体性分析[J]. 分析化学, 2004, 32(7):875-878. CAO J, XU Y, ZHANG Y Z, et al. Integrated fingerprint chromatogram analysis for gardenia[J]. Chinese Journal of Analytical Chemistry, 2004, 32(7):875-878(in Chinese).
[8] 刘江, 陈兴福, 邹元锋. 基于中药指纹图谱多维信息的化学模式识别研究进展[J]. 中国中药杂志, 2012, 8(8):1081-1088. LIU J, CHEN X F, ZOU Y F. Progress on chemical pattern recognition in traditional Chinese medicines by multidimensional information of metabolic fingerprinting analysis[J]. China Journal of Chinese Materia Medica, 2012, 8(8):1081-1088(in Chinese).
[9] 周涛, 韩彬, 陈军辉, 等. 顶空固相微萃取-气相色谱-质谱联用法及微量组分特征比值法应用于甲苯溯源鉴别[J]. 环境化学, 2014,33(5):826-831. ZHOU T, HAN B, CHEN J H, et al. Toluene's traceability based on the characteristic ratios and HS-SPME-GC-MS[J]. Environmental Chemistry, 2014, 33(5):826-831(in Chinese).
[10] 姬亚芹. 城市空气颗粒物源解析土壤风沙尘成分谱研究[D]. 天津:南开大学博士学位论文, 2006. JI Y Q. Study on the dust profiles for source apportionment of ambient particulate matter[D]. Tianjin:Nankai University, 2006(in Chinese). [11] 薛红艳, 战友, 张劲勇, 等. 城市生活污水污泥理化性质分析[J]. 实验室研究与探索, 2014, 33(9):28-32. XUE H Y, ZHAN Y, ZHANG J Y, et al. Analysis on the physical and chemical properties of urban sewage sludge[J]. Research and Exploration in Laboratory, 2014, 33(9):28-32(in Chinese).
[12] 夏阳, 余晓军, 朱华, 等. 江河污泥理化性质分析及其在免烧砖制备中的研究[J]. 建材技术与应用, 2015(4):1-4. XIA Y, YU X J, ZHU H, et al. Physicochemical properties of river sludge and its application research in non-fired bricks[J]. Research & Application of Building Materials, 2015 (4):1-4(in Chinese).
[13] 陈同斌, 黄启飞, 高定, 等. 中国城市污泥的重金属含量及其变化趋势[J]. 环境科学学报, 2003, 23(5):561-569. CHEN T B, HUANG Q F, GAO D, et al. Heavy metal concentrations and their decreasing trends in sewage sludges of China[J]. Acta Scientiae Circumstantiae, 2003, 23(5):561-569(in Chinese).
[14] 马立平. 现代统计分析方法的学与用(三):统计数据标准化——无量纲化方法[J]. 数据, 2000(3):34-35. MA L P. Learning and using modern statistical analysis methods (iii):statistical data standardization-Undimensionalization[J]. Data, 2000 (3):34-35(in Chinese).
[15] 王毓秀, 彭林, 王燕, 等. 电厂燃煤烟尘PM2.5中化学组分特征[J]. 环境科学, 2016, 37(1):60-65. WANG Y X, PENG L, WANG Y, et al. Characteristics of Chemical Components in PM2.5 from the Coal Dust of Power Plants[J]. Environmental Science, 201637(1):60-65(in Chinese).
计量
- 文章访问数: 1459
- HTML全文浏览数: 1349
- PDF下载数: 395
- 施引文献: 0