论文

天津地区表土PAHs含量的多尺度空间相关性

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  • 1. 北京大学环境学院, 地表过程分析与模拟教育部重点实验室, 北京 100871;
    2. 天津市环保局, 天津 300191
刘瑞民(1975-),男,山东聊城人,博士,目前为北京师范大学博士后。

收稿日期: 2004-07-18

  修回日期: 2004-10-19

  网络出版日期: 2005-08-15

基金资助

国家自然科学基金(40371105,40332015,40021101)资助

Multi-scale spatial characteristics of topsoil PAHs in Tianjin area

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  • 1. College of Environ. Sci., MOE Lab. of Earth Surface Process, Peking University, Beijing 100871, China;
    2. Tianjin Environ. Protection Bureau, Tianjin 300191, China

Received date: 2004-07-18

  Revised date: 2004-10-19

  Online published: 2005-08-15

摘要

本文应用因子克立格分析方法,分析了天津表土16种PAHs之间多尺度空间结构特征。分析结果显示,天津表土PAHs在空间上可以划分三种尺度:块金尺度(0~5km),小空间尺度(5~10km)和大空间尺度(10~50km)。在不同的空间尺度上,16种PAHs之间表现出不同的空间相关性,具有空间尺度相关性。这种空间尺度相关性,是由于不同的空间污染过程造成的,有助于下一步的多尺度空间污染源的判断和污染物迁移转化规律的识别。

本文引用格式

刘瑞民, 王学军, 陶澍, 沈伟然, 秦宝平, 孙韧, 张文具 . 天津地区表土PAHs含量的多尺度空间相关性[J]. 地理研究, 2005 , 24(4) : 565 -571 . DOI: 10.11821/yj2005040011

Abstract

With the increase of population and the development of agriculture and industry, our human beings are facing more and more serious environmental problems. Polycyclic aromatic hydrocarbons (PAHs) are one of the important global pollutants. Using the method of factorial Kriging, the spatial scale-correlation structure among the 16 types of topsoil PAHs in Tianjin area is discussed in this paper. The results revealed that the pollution process of topsoil PAHs in Tianjin area can be attributed to three spatial scales: nugget scale (0~5km), indicates minor spatial variability which is less than the sample interval; small scale (5~10km), indicates local spatial variability; and large scale (10~50km), indicates regional spatial variability. Significant differences in spatial correlations at different spatial scales among PAHs compounds have been identified. In a word, there exist spatial scale-correlations among these 16 PAHs. This analysis can help to identify the sources and migration/transformation law of the PAHs pollutants in the environment. On the nugget scale,the principal origin of the PAHs may be petroleum source. Because of the errors of determination, the analysis of nugget scale may not reflect the real situation. On the small scale, the principal origin of the PAHs may be the burning of fossil fuels. On the large scale, the principal origin of the PAHs may be the regional deposit from atmosphere.

参考文献


[1] Reilley K A,Banks M K,Schwab A P1 Organic Chemicals in t he Environment,Dissipation of Polycyclic AromaticHydrocarbons in t he Rhizo sp here.Journal of Environmental Quality,1996,25:212~219.
[2] Zedeek M S. Polycyclic Aromatic Hydrocarbons:A Review. J. Environ. Pat hology and Toxicology,1980,3:537~567.
[3] Malins D C,Hodgins H O. Pet roleum and Marine Fishes:A Review of Uptake,Depo sition and Effect s1 Environ.Sci. Technol1,1981,15:1272~1280.
[4] Menzie C A,Potocki B B,Santodonato J. Exposure to Carcinogenic PA Hs in t he Environment. Environ1 Sci.Technol.,1992,26:1278~1284.
[5] Fisher J A,Scarlett M J,Stott A D1 Acceterated Solvent Ext raction:an Evaluation for Screening of Soils for Selected U. S. EPA Semivolatile Organic Priority Pollutant s. Environ1 Sci. Technol.,1997,31:1120~1127.
[6] Ahn Y H,John S,Sayler G S. Analysis of Polycyclic Aro matic Hydrocarbon-degradation Bacteria isolated f ro mContaminated Soils.Biodegradation,1999,10:149~157.
[7] 孙韧,朱坦.天津局部大气颗粒物上多环芳烃分布状态.环境科学研究,2000,13(4):14~17.
[8] 王学军,任丽然,戴永宁,等.天津市不同土地利用类型土壤中多环芳烃的含量特征1地理研究,2003,22(3):360~366.
[9] Einax J W,Soldt U. Multivariate Geo statistical Analysis of Soil Contaminations.Fresenius J1 Anal. Chem.,1998,361:10~14.
[10] Mat heron G. Pur une Analyse Krigeante des Donnees Regionalisees.Report N2732. Cent re de Geo statistique,Fontainebleau,1982.
[11] Goovaert s P1 Factorial Kriging Analysis:a U sef ul Tool for Exploring t he St ruct ure of Multivariate Spatial Soil Information. J1 Soil Sci.,1992,43:597~619.
[12] Webster R,Atteia O,Dubois J P1 Coregionalization of Trace Metals in t he Soil in t he Swiss J ura1 Euro1 J.of SoilSci.,1994,45:205~218.
[13] Cast rignano A,Giugliarini L,Risaliti R,et al1 St udy of Spatial Relationship s among so me Soil Physico-chemicalProperties of a Field in cent ral Italy using Multivariate Geostatistics. Geoderma,2000,97:39~60.
[14] Cast rignano A,Goovaert s P,L ulli L,et al1 A Geostatistical Approach to Estimate Probabilit y of Occurrence ofTuber melanosporum in Relation to so me Soil Properties. Geoderma,2000,98:95~113.
[15] Bourennane H,Salvador2Blanes S,Cornu S,et al1 Scale of Spatial Dependence bet ween Chemical Properties of Topsoil and Subsoil over a Geologically Contrasted Area(Massif central,France)1 Geoderma,2003,112:235~2511
[16] Keit h L H,Telliard W A1 Priorit y Pollutant s I2A Perspective View1 Environmental Science&Technology,1979,13:416~4231
[17] 崔艳红,朱雪梅,郭丽青,等1天津污灌区土壤中多环芳烃的提取、净化和测定1环境化学,2002,21(4):392~3961
[18] Goovaert s P1 Spatial Ort hogonalit y of t he Principal Co mponent s Co mp uted f rom Coregionalized Variables1 Mat h.Geol.,1993,25:281~302.
[19] Wackernagel H1 Multivariate Geostatistics:An Int roduction wit h Applications.Berlin:Springer-Verlag,1995.
[20] Journel A G,Huijbregt s C J1 Mining Geo statistics1 New York:Academic Press,1978.
[21] Goovaert s P1 Geo statistics for Nat ural Resources Evaluation1 New York:Oxford Univ.Press,1997.
[22] Goulard M,Voltz M1 Linear Coregionalization Model:Tool s for Estimation and Choice of Cross-variogram Mat rix. Mat h1 Geol1,1992,24:269~286.
[23] Trapido M. Polycyclic Aro matic Hydrocarbons in Estonian Soil:Contamination and Profiles. Environ. Pollution,1999,105:67~74.
[24] Wania F,Mackay D. Tracking t he Dist ribution of Persistent Organic Pollutant s.Environ1 Sci1 Technol.,1996,30:392~396.

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