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土壤环境中As、Cd、Hg、Pb地球化学背景及通量研究
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摘要
随着社会经济的发展,资源和环境问题日益突出。使得政府和公众对于描述自然环境数据的需求越来越迫切。为满足这种需求和配合国际地科联组织实施的IGCP259 和IGCP360 项目,中国地质调查局于1999 年启动并组织实施了全国范围的新一轮国土资源大调查项目:“覆盖区1:25 万多目标地球化学调查”。多目标地球化学调查提供了分析密度分别为1 点/16km2和1 点/4km2的标准网格化深、表层土壤样品测试数据,是以往任何单纯的土壤调查工作不可比拟的,为土壤元素地球化学背景研究开创了新的空间。本研究正是在这样的背景下,以“四川省成都经济区农业生态地球化学评价”、“山西省黄土高原盆地经济带区域生态地球化学评价”子课题为依托,借助“3S”技术和计算机数据处理技术,运用经典统计学方法和地质统计学方法对长江流域的成都盆地和黄河流域的太原盆地深、表层土壤中环境优先评价元素As、Hg、Cd、Pb 的地球化学背景作了系统研究。在研究过程中采用了以往土壤背景研究中较少运用的回归分析法,并针对该方法中的不足之处,对一些关键步骤作了增改。在此基础上运用地质统计学的空间分析技术,解析As、Hg、Cd、Pb 的空间结构特征,并将相关结果引入As、Hg、Cd、Pb 的背景插值成图。最后结合两盆地表层土壤As、Cd、Hg、Pb 各输入、输出途径通量的研究成果,从静态和动态两方面分析了成都盆地和太原盆地表层土壤中As、Hg、Cd、Pb 的地球化学背景特征及相关影响因素,综合得出以下结论:分属于长江流域的成都盆地和黄河流域的太原盆地,表层土壤中As、Hg、Cd、Pb含量有明显的差异,成都盆地土壤As 明显低于太原盆地土壤而Hg、Cd、Pb 总体上高于太原盆地。这种差异主要来自对不同类型土壤母质成份的的继承和受到不同的地带性气候影响所致。由于受到人类生产活动的强烈扰动,在两盆地主要城市的周边、矿区、部分河流沿岸、污灌区等局部地区显示有Hg、Cd、Pb 的富集。成都盆地主要的扰动因素有:采矿、施肥和城市生活生产过程中的废弃物排放;太原盆地的主要扰动形式为:污水灌溉、施肥和城市生活、工业生产过程中的废弃物排放。
With the fast development of social economy, the prominent resources and environmental problems causes the governmental and public demand of defining natural spatial materials. For the purpose of meeting such demands and cooperating with the IGCP259 and IGCP360 projects sponsored by International Union of Geological Sciences, China Geological Survey Bureau has initiated and organized a national-wide, land and resources survey, which is called “National Multi-purposes Regional Geochemical Survey”. This survey uses grid sampling methods and provides subsoil and topsoil testing data with densities of 1sample per 16km2 and 1sample per 4km2 respectively, which cannot be matched by any former soil survey and providing new extension to the soil elements geochemical backgrounds.
    Under such background, the author carries out a systematical study on the geochemical background of As, Hg, Cd and Pb in subsoil and topsoil of Chengdu Basin and Taiyuan Basin. This study is based on the “Project of Agriculture Ecosystem Geochemical Assessment of Chengdu Economy Area, Sichuan Province”and “Project of Regional Ecosystem Geochemical Assessment for Loess Altiplano Economy Area, Shanxi Province.”By virtue of “3S”and computer data processing techniques, the author adopts the traditional mathematical and geological statistic methods and uses the Regression Analysis, which is rarely used in the former soil surveys. On the basis of spatial analysis, the spatial structure characteristics of As, Hg, Cd and Pb have been analyzed and the results are incorporated into an interpolation map of such above elements. At last, with the study results of the quality of As, Hg, Cd and Pb topsail input and output, the author makes a static and dynamic analysis on the geochemical background characteristics and other effect factors of As, Hg, Cd and Pb in the topsail of Chengdu Basin and Taiyuan Basin.
    From the above study, the following conclusions have been drawn out: there have great differences in As, Hg, Cd and Pb contents of the topsail and subsoil between the Chengdu Basin and Taiyuan Basin. The soil in Chengdu Basin has less As contents than that in Taiyuan Basin, while the Hg, Cd and Pb contents are greater than that of Taiyuan Basin. These differences are the results of the diversity of parent materials from various soil types and the climates influences of different regions. As strongly affected by the Human production activities, Hg, Cd and Pb concentrate in the city surroundings, the properties, some part of river banks, irrigating areas, etc. The factors causing such differences are specifically as follows:
    Chengdu Basin: mining activities, fertilizing and waste water emission and other waste discharge from city life;
    Taiyuan Basin: irrigating with foul water, fertilizing and the waste discharge from industry production;
引文
[1] 夏增禄,李森照,李廷芳,等. 土壤元素背景值及其研究方法. 北京:气象出版社,1987:70-94
    [2] 环境科学编辑部. 环境中若干元素的自然背景值及研究方法. 科学出版社,1982
    [3] A G. Darnley. Aglobal geochemical reference network: the foundation for geochemical baselines. Journal of Geochemical Exploration 60(1997):1-5
    [4] 施俊法. 走向21 世纪的地球化学填图. 地球科学———中国地质大学学报,1999,24(3):320-324
    [5] 奚小环. 生态地球化学与生态地球化学评价. 物探与化探,2003,24(1):7-15
    [6] 奚小环. 1999-2001·勘查地球化学·资源与环境. 物探与化探,2003,27(1):1-12
    [7] 杨忠芳,成杭新,陈岳龙,等. 进入21 世纪的勘查地球化学:对生态地球化学的展望. 地学前缘,2004,11(2):600-615
    [8] 成杭新,杨忠芳,赵传冬,等. 区域生态地球化学预警:问题与讨论. 地学前缘,2004,11(2):607-615
    [9] 中国土壤环境背景值. 北京:中国环境科学出版社,1990
    [10] 谢学锦,成杭新,谢渊如. 川滇黔桂,-种元素地球化学图编制中分析方法与分析质量研究(一).地质通报,2002,21(6):277-284
    [11] 阮天健,朱有光.地球化学找矿.北京:地质出版社,1990
    [12] 涂光炽. 地球化学.上海:上海科学技术出版社,1984
    [13] 中国大百科全书编辑部.中国大百科全书环境科学.北京:中国大百科全书出版社,1983
    [14] 张晓平.西藏上壤环境背景值的研究.地理科学,19 9 4,14(1):49-55
    [15] 地质调查局《覆盖区多目标地球化学暂行规定》(编号:DD2002)
    [16] 李德胜,杨忠芳,靳职斌. 太原盆地土壤微量元素的地球化学特征. 地质与勘探,2004, 40(3):86-89
    [17] 邢光熹,朱建国. 土壤微量元素和稀土元素地球化学. 北京: 科学出版社,2003
    [18] 黄昌勇主编. 土壤学.北京:中国农业出版社,1999
    [19] 陈明,李金春.化探背景与异常识别的问题与对策. 地质与勘探.1999,35(2):25-29
    [20] 陈明,范继璋,矫希国. 化探背景与异常划分中的C 型转换法.长春地质学院学报,1996,26(2):227-230
    [21] 龚庆杰,张德会,韩东昱.一种确定地球化学异常下限的简便方法. 地质地球化学,2001,29(3):215-220
    [22] 韩东昱,龚庆杰,向运川. 区域化探数据处理的几种分形方法[J]. 地质通报,2004, 23(7):714-719
    [23] 龚子同,黄标,欧阳洮.我国土壤地球化学及其在农业生产中的意义. 地理科学,1998,18(1):1-9
    [24] 高山.关于大陆地壳化学组成研究中某些问题的讨论.地球科学——中国地质大学学报,1999,24(3):228-233
    [25] 黎彤,袁怀雨,吴胜昔,等.中国大陆壳体的区域元素丰度.大地构造与成矿学,1999,23(2):101~107
    [26] 张朝生,章申,王立军,等.若干典型岩性区域沉积物金属元素地球化学特征比较研究.环境科学学报,1998,18(2):172-176
    [27] R. Salminen, V. Gregorauskiene. Considerations regarding the definition of a geochemical baseline of elements in the surficial materials in areas differing in basic geology. Applied Geochemistry 15 (2000): 647-653
    [28] R. Salminen, T. Tarvainen. The problem of defining geochemical baselines. A case study of selected elements and geological materials in Finland. Journal of Geochemical Exploration 60(1997): 91-98
    [29] J.Matschullat, R.Ottenstein, C.Reimann. Geochemical background can we calculate it ?. Environmental Geology,2000,39(9): 990-1000.
    [30] C. Reimann, P. Filzmoser. Normal and Lognormal data distribution in geochemistry: death of myth. Consequences for the statistical treatment of geochemical and environmental data. Environmental Geology,2000,39(9):1001-1014.
    [31] 滕彦国,倪师军,张成江. 环境地球化学基线研究简介. 物探化探计算技术, 2001,23(2):135-139
    [32] 滕彦国. 攀枝花地区土壤环境地球化学基线研究. 成都:四川成都理工大学,2001:8-15.
    [33] C.J.Allegre, E. Lewin. Scaling laws and geochemical distributions. Earth and Planetary Letters. 1995,132: 1-13.
    [34] 施俊法.浙江省诸暨地区元素地球化学分布与标度律. 地球科学—中国地质大学学报,2001,26(2):167-171.
    [35] 成秋明.空间自相似性与地球物理和地球化学场的分解方法.地球物理学进展2001,16(2):8-17
    [36] 成秋明.多维分形理论和地球化学元素分布规律.地球科学——中国地质大学学报,2000,25(3):311-318
    [37] 孟宪伟,窦明晓. 地球化学场分解的理论与方法. 地球科学迸展,1994,9(6):59-64
    [38] 王仁铎,杨明国. 地质现象分形统计学研究的若干问题.现代地质1998,2(1):91-96
    [39] Q. M. Cheng. The perimeter-area fractal model and its application to Geology. Mathematic Geology, 1995, 27: 69~82.
    [40] Q. M. Cheng, F. P. Agterberg, S. B. Ballantyne. The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical Exploration, 1994,51: 109~
    130
    [41] 李长江,麻土华.矿产勘查中的分形、混沌与ANN.北京:地质出版社.
    [42] 谢淑云,鲍征宇. 地球化学场的连续多重分形模式. 地球化学,2002,31(2):191-200
    [43] Shuyun Xie. Fractal and Multifractal Properties of Geochemical Fields 博士学位论文,武汉:中国地质大学,2002
    [44] D.L.Turcotte. A fractal approach to the relation ship between no regrade and tonnage. Economic Geology, 1986, 81:1528-1532
    [45] E. Molinaroli a, M. Pistolato, G. Rampazzoa, et al. Geochemistry of natural and anthropogenic fall-out (aerosol and precipitation) collected from the NW Mediterranean: two different multivariate statistical approaches. Applied Geochemistry, 14 (1999): 423-432
    [46] A. N. D. Posadas, D. Giménez, M. Bittelli. Multifractal Characterization of Soil Particle-Size Distributions. Soil Science Society of America Journal , 2001,65: 869-878
    [47] 陈建国,王仁铎,陈永清. 利用分形统计学提取化探数据中的隐蔽信息并圈定地球化学异常. 地球科学———中国地质大学学报,1998,23(2):175-178
    [48] S. Covelli, G. Fontolan. Application of a normalization procedure in determining regional geochemical baselines. Environmental Geology, 1997,30 (1/2): 34-45
    [49] 朱立新,马生明,王之峰.土壤生态地球化学基准值及其研究方法探讨. 地质与勘探.,2003,39(6):58-60
    [50] 姚宜斌,陶本藻,施闯.稳健回归分析及其应用研究. 大地测量与地球动力学, 2002,22(2):16-19
    [51] 高志,何锡文,张贵珠,等. 稳健线性回归法探讨分析精度与浓度之间的关系. 分析化学,1999,27(6):644-647
    [52] 王彤,何大卫. 线性回归中多个异常点的诊断. 中国卫生统计,1997,14(6):7-10
    [53] 赵慧,甘仲惟,肖明.多变量统计数据中异常值检验方法的探. 华中师范大学学报(自然科学版)2003, 37(2):133-137
    [54] 刘二永,郭科,唐菊兴,等. 分形技术用于查证化探异常.成都理工学院学报2002,29(4):444-447
    [55] H. G. Pereiraa, S. Rencab, J. Saraivaa. A case study on geochemical anomaly identification through principal components analysis supplementary projection. Applied Geochemistry 18 (2003) 37–44
    [56] M. Karger, S. Sandomirsky. Multidimensional statistical technique for detection of low contrast geochemical anomalies. Journal of Geochemical Exploration 72 (2001): 47–58
    [57] 吴健平,张立.地理数据线性回归中的稳健估计方法. 干旱区地理,1994,17(1):83-88
    [58] Milan Meloun, Jiˇr′? Militky. Detection of single influential points in OLS regression model building. Analytica Chimica Acta 439 (2001): 169–191
    [59] A. Giloni, M. Padberg. Least Trimmed Squares Regression, Least Median Squares Regression and Mathematical Programming. Mathematical and Computer Modelling 35 (2002): 1043-1060
    [60] M. Jamshidian. T-distribution modeling using the available statistical software. Computational Statistics & Data Analysis 25(1997): 181-206
    [61] J. F. Donoghue, P. C. Ragland, Q. Chen, et al. Standardization of metal concentrations in sediments using regression residuals: an example from a large lake in Florida, USA. Environmental Geology, 1998,36 (1–2): 65-76
    [62] R.X. Liu, J. Kuang, Q. Gong, et al. Principal component regression analysis with SPSS. Computer Methods and Programs in Biomedicine 71 (2003): 141-147
    [63] 林杰斌,陈湘,刘明德.SPSS11 统计分析实务设计宝典.北京:中国铁道出版社,2002
    [64] O.S. Selinus, K.Esbensen. Separating anthropogenic from natureal anomalyes in environmental geochemistry. Journal of Geochemical Exploration 55(1995): 55-66
    [65] 李新,程国栋,卢玲. 空间内插方法比较. 地球科学进展, 2000,15(3):260-265
    [66] C.A. Schloeder, N.E. Zimmerman,, M.J. Jacobs. Comparison of Methods for Interpolating Soil Properties Using Limited Data Journal of Environmental Quality , 2002, 31:1768-1773
    [67] 潘志强,刘高焕.面插值的研究进展.地理科学进展,2002,21(2):146-152
    [68] 朱求安, 张万昌, 余钧辉.基于GIS的空间插值方法研究. 江西师范大学学报(自然科学版),2004,28(2):183-188
    [69] 褚宝增,邓祖佑,薛涛.关于构造等高线绘制的3种方法.断块油气田,10(6):27-28
    [70] 杨振放,李金荣,张骏,等. 地下水位的两种估值方法比较.期长安大学学报(地球科学版),2003,25(3):76-80
    [71] 李玉梅,袁里,彭森,等. P元Q次超趋势面的算法研究及在油藏描述中的应用. 西安石油学院学报(自然科学版),2002,17(4):45-50
    [72] 董辉,高光明,刘碧虹,等. 基于空间散乱点插值的曲面生构.地质与勘探,2004,40(2):80-84
    [73] A. Lima, B. De Vivo, D. Cicchella, et al. Multifractal IDW interpolation and fractal filtering method in environmental studies: an application on regional stream sediments of (Italy), Campania region. Applied Geochemistry 18 (2003): 1853–1865
    [74] 肖斌,赵鹏大,侯景儒. 现代地质统计学的新进展[J]. 世界地质,1999,18(3):82-87
    [75] 孙英君,王劲峰,柏延臣.地统计学方法进展研究[J].地球科学进展, 2004, 19 (2):268-274
    [76] 侯景儒,黄竞先. 实用地质统计学. 地质出版社,1998.
    [77] 王仁铎,胡光道. 线性地质统计学]. 地质出版社,1988.
    [78] 陈明,吴锡生,马福生. 泛克立格法在吉林省某地1:5万化探中的应用及与其它有关方法的对比研究.吉林地质,1994,13(4):14-19
    [79] 赵斌,蔡庆华. 地统计学分析方法在水生态系统研究中的应用[J]. 水生生物学报,2000,24(5):514-520
    [80] G.J. Karavasilis, V.K. Kotti, D.S. Tsitsis, et al. Statistical methods and software for risk assessment: applications to a neurophysiological data set. Computational Statistics & Data Analysis 49 (2005) 243 –263
    [81] Christakos G. Critical conceptualism in environmental modeling and prediction. Envir. Sci. and Technol. 2003a.
    [82] Christakos G. Multi-Disciplinary Systems in Uncertain Environments, Springer-Verlag, New York,.2003b.
    [83] J. A. Cattle, A. B. McBratney. Kriging Method Evaluation for Assessing the Spatial Distribution of Urban Soil Lead Contamination. Soil Science Society of America Journal , 2002,66:1134-1142
    [84] 李艳,史舟,徐建明,黄明祥. 地统计学在土壤科学中的应用及展望[J]. 水土保持学报,2003, 17(1):178-182
    [85] 黄绍文,金继运.土壤特性空间变异研究进展[J]. 土壤肥料,2002 (1):8-14
    [86] 徐尚平,陶澍,曹军,等. 内蒙古地区A、C 层土壤中金属元素含量比值睥影响因素及其空间结构分析[J]. 土壤通报,2001,32(5):230-234
    [87] 王学军,邓宝山,张泽浦. 北京东郊污灌区表层土壤微量元素的小尺度空间结构特征. 环境科学学报,1997, 17(4):412-416
    [88] J. Triantafilis, I.O.A. Odeh, A.B. McBratney. Five Geostatistical Models to Predict Soil Salinity from Electromagnetic Induction Data Across Irrigated Cotton. J. Environ. Qual. 2003,32: 1710-1716
    [89] 郑袁明,陈同斌,陈煌,等. 北京市近郊区土壤镍的空间结构及分布特征.地理学报,2003,58(3):470-476
    [90] 张有山, 林启美,秦耀东,等.大比例尺区域土壤养分空间变异定量分析. 华北农学报,1998,13(1):122~128
    [91] 汪景宽,赵永存,张旭东,等. 海伦县土壤重金属含量的空间变异性研究. 土壤通报,2003,34(5):398-403
    [92] 张乃明,李保国,胡克林. 太原污灌区土壤重金属和盐分含量的空间变异特征[]. 环境科学学报, 2001, 21(3):349-353
    [93] C. V. Deutsch, A. G. Journel. GSLIB Geostatistcal Software Library and User's Guide[M]. New York: Oxford University Press,1998: 1-320.
    [94] P.Goovaerts. Geostatistics for Natural Resources Evaluation [M]. New York: Oxford University Press, 1997. 1-400.
    [79] 赵斌,蔡庆华. 地统计学分析方法在水生态系统研究中的应用[J]. 水生生物学报,2000,24(5):514-520
    [80] G.J. Karavasilis, V.K. Kotti, D.S. Tsitsis, et al. Statistical methods and software for risk assessment: applications to a neurophysiological data set. Computational Statistics & Data Analysis 49 (2005) 243 –263
    [81] Christakos G. Critical conceptualism in environmental modeling and prediction. Envir. Sci. and Technol. 2003a.
    [82] Christakos G. Multi-Disciplinary Systems in Uncertain Environments, Springer-Verlag, New York,.2003b.
    [83] J. A. Cattle, A. B. McBratney. Kriging Method Evaluation for Assessing the Spatial Distribution of Urban Soil Lead Contamination. Soil Science Society of America Journal , 2002,66:1134-1142
    [84] 李艳,史舟,徐建明,黄明祥. 地统计学在土壤科学中的应用及展望[J]. 水土保持学报,2003, 17(1):178-182
    [85] 黄绍文,金继运.土壤特性空间变异研究进展[J]. 土壤肥料,2002 (1):8-14
    [86] 徐尚平,陶澍,曹军,等. 内蒙古地区A、C 层土壤中金属元素含量比值睥影响因素及其空间结构分析[J]. 土壤通报,2001,32(5):230-234
    [87] 王学军,邓宝山,张泽浦. 北京东郊污灌区表层土壤微量元素的小尺度空间结构特征. 环境科学学报,1997, 17(4):412-416
    [88] J. Triantafilis, I.O.A. Odeh, A.B. McBratney. Five Geostatistical Models to Predict Soil Salinity from Electromagnetic Induction Data Across Irrigated Cotton. J. Environ. Qual. 2003,32: 1710-1716
    [89] 郑袁明,陈同斌,陈煌,等. 北京市近郊区土壤镍的空间结构及分布特征.地理学报,2003,58(3):470-476
    [90] 张有山, 林启美,秦耀东,等.大比例尺区域土壤养分空间变异定量分析. 华北农学报,1998,13(1):122~128
    [91] 汪景宽,赵永存,张旭东,等. 海伦县土壤重金属含量的空间变异性研究. 土壤通报,2003,34(5):398-403
    [92] 张乃明,李保国,胡克林. 太原污灌区土壤重金属和盐分含量的空间变异特征[]. 环境科学学报, 2001, 21(3):349-353
    [93] C. V. Deutsch, A. G. Journel. GSLIB Geostatistcal Software Library and User's Guide[M]. New York: Oxford University Press,1998: 1-320.
    [94] P.Goovaerts. Geostatistics for Natural Resources Evaluation [M]. New York: Oxford University Press, 1997. 1-400.

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