基于多源大数据可视化的城市居民区绿地土壤环境监测点位布设及采样研究

为科学合理的监测城市居民区绿地土壤环境状况,对居民区绿地土壤监测点位布设和采样的方法进行研究,包括代表性居民区的选取、监测点采样位置的确定、点位数量的确定等。通过多源大数据可视化手段选取某城市代表性的居民区,对其居民区内绿地土壤重金属(镉、汞、砷、铅、铜、铬、锌和镍)进行监测。结果表明:多源大数据的应用对城市土壤监测布点具有积极作用和优势;不同建筑年代的居民区土壤中重金属含量存在一定差异,为全面监测居民区土壤环境状况应选取不同建筑年代的居民区作为监测对象;不同采样位置对居民区土壤样品中重金属含量无明显影响,优先于居民区内面积占比较大的绿地采样;同一居民区内不同监测点位样品存在差异性,每个居民区内至少布设3~4个监测点位可代表该居民区土壤环境状况。

Study on Urban Residential Area Green Space Soil Monitoring Site Determination and Sampling Method by Multi-source Big Data Visualization

To monitor the urban residential area green space soil enviroment scientifically and reasonably,the urban residential area green space soil monitoring site determination and sampling methods were studied,including representative residential area selection,monitoring site determination,sampling sites amount determination.The typical residential areas were selected by multi-source big data visualization technology.The residential areas green space soil heavy metal(Cd,Hg,As,Pb,Cr,Cu,Zn and Ni)concentrations were determined.The results showed that multi-source big data technology had advantages and good effects on the residential area soil monitoring sites determination.Soil heavy metal concentrations were different in the different ages residential areas,different ages residentail areas should be selected as monitoring objects for overall residential areas soil monitoring work.Sampling sites location had no obvious effets on residential area soil heazy metal concentration,widespread green space should be first considered as appropriate samling sites location.Different sites samples existed differences in every residential area.At least setting 3 to 4 monitoring sites could represent the soil environment situation of one residential area.