土壤重金属污染评价与可视化研究  

Evaluation and visualization of soil heavy metal pollution

作　　者：于汧卉 王洪林 史江臣 付和 张璐 翟欣雅 YU Qianhui;WANG Honglin;SHI Jiangchen;FU He;ZHANG Lu;ZHAI Xinya(Sinotech Land Spatio Corp,Beijing 101300,China;Hebei Zhongse Surveying and Mapping Co.,Ltd.,Langfang 065201,China)

机构地区：[1]中色蓝图科技股份有限公司,北京101300 [2]河北中色测绘有限公司,河北廊坊065201

出　　处：《测绘通报》2023年第12期169-173,共5页Bulletin of Surveying and Mapping

基　　金：智慧农业监测系统的成果转化项目(YJXM211205)。

摘　　要：土壤重金属污染评价时,研究人员只使用一种评价模型,无法进行择优选择;在土壤数据获取受限制的情况下,数据可得性、可调整性较差;依据少量采样点数据直接开展重金属污染评价,不利于评价整体影响效应。针对上述问题,本文开展了土壤重金属污染评价与可视化研究,采用克里金法对采样点数据进行转化,结合单因子评价模型、内梅罗指数模型和加权平均指数模型,通过将公式程序化,实现重金属污染快速评价,并结合开源WebGL技术,以污染程度分级形式进行高效可视化。研究结果表明,本文方法不仅能让用户按需选择评价模型和插值精度,还具有较高的数据可得性,有利于评价研究区整体污染状况,得出面域评价结果。For the evaluation of heavy metal pollution in soil,researchers often use only one assessment model,and can not choose the best one;In the case of limited access to soil data,data availability and adjustability are poor;Direct evaluation of heavy metal pollution based on a small number of sampling point data is not conducive to the evaluation of the overall impact effect and other issues.In this paper,the evaluation and visualization of heavy metal pollution in soil are studied.The data of sampling points are transformed by Kriging method.Combined with single factor evaluation model,Nemerow index model and weighted average index model,the formula is programmed to achieve rapid evaluation of heavy metal pollution.Combined with open-source WebGL technology,the highly efficient visualization is conducted in the form of pollution degree classification.The research results show that the method proposed in this paper not only could enable users to select evaluation models and interpolation accuracy as required,but also have high data availability,which is conducive to evaluating the overall pollution situation in the study area and obtaining the optimal evaluation results of the area.

关 键 词：克里金法 单因子评价 内梅罗指数 加权平均指数 土壤重金属污染评价 WEBGL 

分 类 号：P237[天文地球—摄影测量与遥感]