基于水系沉积物的土壤环境预测模型——以青海省东部地区为例

Soil environment prediction model based on stream sediment-a case study of eastern Qinghai Province

近年来土壤环境质量调查工作在全国范围内逐步开展,青海省内工作不足10%,为了结合青海省"大资源、大地质、大生态、大数据"的格局,利用已有水系沉积物测量数据对土壤环境进行有效预警,通过土地质量地球化学评价方法建立土壤环境高背景识别体系,进而有针对性的开展土壤环境调查意义十分重大。通过对青海省东部地区已开展的水系沉积物测量和土地质量调查数据对比,不同工作方法得出的砷(As)、镉(Cd)、铬(Cr)、铜(Cu)、汞(Hg)、镍(Ni)、铅(Pb)、锌(Zn)元素分布规律及分布形态高度一致,从而有效建立土壤环境地球化学模型。

In recent years,the investigation of soil environmental quality has been gradually carried out nationwide,with less than 10%work in Qinghai Province.In order to combine the pattern of“Big Resources,Big Geology,Big Ecology and Big Data”in Qinghai Province,it is of great significance to use the existing stream sediment measurement data to effectively warn the soil environment,and establish a high background identification system of soil environment through land quality geochemical evaluation method,and then carry out targeted investigation of soil environment.According to the comparison of the survey data of river sediment and land quality in the eastern part of Qinghai province,the distribution laws and patterns of arsenic(As),cadmium(Cd),chromium(Cr),copper(Cu),mercury(Hg),nickel(Ni),lead(Pb)and zinc(Zn)obtained by different working methods are highly consistent,thus effectively establishing the soil environmental geochemical model.