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文章摘要
基于土地利用回归模型的场地土壤污染特征分析
Analysis of Site Soil Pollution Characteristics Based on Land Use Regression Model
  
DOI:
中文关键词: 重金属  污染特征  土地利用回归模型  空间分布  污染场地  土壤
英文关键词: Heavy mental  Pollution characteristic  Land use regression model  Spatial distribution  Pollution site  Soils
基金项目:国家重点研发计划基金资助项目(2019YFC1803404);自然资源部地理国情监测重点实验室开放基金资助项目(2022NGCM09)
作者单位
刘泽瑾 自然资源部地理国情监测重点实验室武汉大学资源与环境科学学院 
杨剑 生态环境部华南环境科学研究所 
魏祖帅 生态环境部华南环境科学研究所 
郭龙 自然资源部地理国情监测重点实验室华中农业大学资源与环境学院 
许刚 自然资源部地理国情监测重点实验室武汉大学资源与环境科学学院 
焦利民 武汉大学资源与环境科学学院 
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中文摘要:
      通过在广东韶关凡口铅锌矿向外辐射8 km2范围内布设25个采样点,监测土壤中Pb、Zn、As、Cu、Cr和Hg 的质量比,构建土地利用回归(LUR)模型模拟该6种元素质量比的空间分布。结果表明:不同土壤元素质量比受地理要素影响差异较大,Pb和As的空间分布受道路影响较大,其高值区沿道路呈带状分布;Zn和Cu受自然因素与土地利用的综合影响,高值分布相对零散;Cr的空间分布主要受地形降水等自然因子的影响。研究区整体元素质量比偏低,西部地区元素质量比低于东部地区,南部地区低于北部地区。
英文摘要:
      The mass ratios of Pb, Zn, As, Cu, Cr and Hg were monitored at 25 soil sampling sites in an area of 8 km2 radiating outward from Fankou lead-zinc mine in Shaoguan, Guangdong Province. A land use regression (LUR) model was built to simulate the spatial distribution of mass ratios of these 6 elements. The results showed that the mass ratios of different elements were greatly affected by geographical factors. The spatial distribution of Pb and As was greatly affected by roads, and the high value areas were zoned along roads. Zn and Cu were affected by natural factors and land use, and their high values were scattered. The spatial distribution of Cr was mainly affected by natural factors such as topography and precipitation. The overall element mass ratio in the study area was low, and the element mass ratio in the western area was lower than that in the eastern area, the element mass ratio in the southern area was lower than that in the northern area.
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