摘要
兼顾土壤类型和相对均匀性的前提下,在黑龙江省海伦县中部地区采集黑土土壤样品60个(0-20cm),在GIS的支持下,采用经典统计学与地统计学相结合的方法研究了土壤铜、铬、铅、镉、汞、砷含量的空间变异性及分异规律。结果表明,就空间相关域而言,铜含量的空间变异性比铬要大;铅、镉、汞、砷含量存在很好的空间结构性,趋势项可用一次趋势面方程分离,一次趋势面方程代表了这四种元素的宏观分布趋势;铜、铬、铅含量的空间分异表现为起伏变化较大,岛状区域分布较多;铅、镉、汞含量以靠近海伦县县城处相对较高,砷含量不同空间位置上变化相对比较平缓。
Sixty black soils samples (0 - 20cm) were collected from in central Hailun areas and each position of sampling was recorded by a GPS device. Contents of Cu, Cr, Pb, Cd, Hg and As contents, were tested. The spatial variability of the heavy metal contents were studied based on mathematical statistics and geostatistic methods. Based on the models of semivariance fitness, we programmed AVENUE SCRIPTS with Arc View GIS software to proceed Kriging interpolator and to discover the distribution patterns of these heavy metals.
出处
《土壤通报》
CAS
CSCD
北大核心
2003年第5期398-403,共6页
Chinese Journal of Soil Science
基金
国家重点基础研究发展规划项目(G1999011810)
中国科学院知识重大项目(KZCXI-SW-19-3-01)资助
