地理学报 ›› 2003, Vol. 58 ›› Issue (3): 470-476.doi: 10.11821/xb200303018

• 土壤与水环境 • 上一篇    

北京市近郊区土壤镍的空间结构及分布特征

郑袁明1, 陈同斌1, 陈煌1, 吴泓涛2, 周建利3, 罗金发1, 黄泽春1   

  1. 1. 中国科学院地理科学与资源研究所环境修复室,北京100101; 2南京大学环境学院 3湖北农学院
  • 收稿日期:2002-09-01 修回日期:2002-11-21 出版日期:2003-05-25 发布日期:2010-09-09
  • 通讯作者: 通讯作者:陈同斌,E-mail:chentb@igsnrr.ac.cn E-mail:chentb@igsnrr.ac.cn
  • 作者简介:郑袁明 (1977-), 男, 山西省临汾市人, 博士生, 主要从事区域土壤污染评价理论与方法研究 。
  • 基金资助:

    北京市自然科学基金重大项目 (6990002);中国科学院知识创新工程重点项目 (KZCX2-04-01)

The Spatial Structure and Distribution of Ni Contents in Soils of Suburbs of Beijing

ZHENG Yuanming1, CHEN Tongbin1, CHEN Huang1, WU Hongtao2, ZHOU Jianli3, LUO Jinfa1, HUANG Zechun1   

  1. Laboratory of Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2002-09-01 Revised:2002-11-21 Online:2003-05-25 Published:2010-09-09
  • Supported by:

    Project of Natural Science Foundation of Beijing, No.6990002; Knowledge Innovation Project of CAS, No. KZCX2-04-01

摘要:

通过对北京市近郊区349处土壤的取样调查,利用地统计学方法研究了北京市土壤中镍的空间结构和分布特征。结果显示,镍的空间结构性较好,具有明显的可迁性特点,块金效应所占的比例较大;实验变异函数可用指数模型拟合,利用所得模型进行克立格插值得到土壤镍含量的分布图,发现北京市土壤中,镍的含量分布具有明显的西北低而东南高的趋势。与北京市土壤镍含量的背景值进行对比,全市土壤并不存在非常严重的镍污染,其空间分布主要受成土母质制约;但是人类活动、风向、河流等人文和自然条件对镍的空间结构和分布格局也有一定程度的影响。

关键词: 北京, 土壤, 重金属, 镍, 地统计学, 变异函数, 克立格插值

Abstract:

Geostatistics has proven to be useful for characterizing and mapping spatial variability of soil properties. Provided with the development of GIS and GPS, in this paper, the spatial characteristic of Ni contents in soils of Beijing was studied using geostatistics. Some 349 samples of surface soils were collected from suburbs of Beijing. Spatial structure was described with variogram. The results show that well-defined structure with nonzero nugget effect, distinct sills and ranges and can be fitted with exponential model (R2 = 0.75, p < 0.01), which is mostly influenced by parent materials. The relative range will reach 8 km. The spatial distribution of Ni contents shows that Ni contents of soils are high in southeast district and low in northwest district, which is influenced strongly by anthropogenic factors (metal smelting and petroleum industry) functioned by natural conditions of wind and river. Variogram analysis shows that the spatial structure of Ni has geometric anisotropy whose ratio is 1.3. The major axis is in NE-SW direction in which there is the longest range. In this study, using background value as standard, Ni pollution was not found in soils of Beijing.

Key words: Beijing, soil, heavy metals, Ni, geostatistics, variogram, Kriging interpolation