宁夏大学学报（自然科学版中英文）2026，Vol.47Issue(1)：90-96,7.
大面积农田土壤中重金属污染的空间分布及生态风险定量快速初步评价
Spatial Distribution of Heavy Metal Pollution in Farmland Soil and Quantitative Assessment of Ecological Risk
摘要
Abstract
In order to explore the feasibility and accuracy of hyperspectral estimation of soil heavy metal con-tent,to quickly and accurately assess heavy metal content in the farmland soil of the study area,and to evaluate the soil cadmium and arsenic pollution,this research uses measured data and hyperspectral data to develop rele-vant models.In Xushe Town,Yixing City,22 farmland soil samples were collected and their Cd and As con-tent were determined.At the same time,combined with HJ1A HSI hyperspectral data,a quantitative estima-tion model of soil heavy metal content was constructed.A comprehensive evaluation of heavy metal pollution levels in farmland soil in Xushe Town was conducted by calculating the single factor index and Nemeiro compre-hensive pollution index.The results showed that the Cd content in 3 out of the 22 farmland soil samples exceeded the national risk control threshold for farmland soil pollution,and the As content did not exceed national standards.The single-factor pollution index indicates that the As content in farmland soil is within the clean range,48.62%is in the lightly polluted range.The Nemeiro Comprehensive Pollution Index indicates that 8.73%of farmland soil in Xushe Town falls within the lightly polluted range.Our results suggest that,hyperspectral data can rapidly estimate heavy metal content in soil and effectively assess the extent of heavy metal pollution.关键词
土壤重金属污染/污染空间遥感监测/生态风险评估/高光谱技术/综合污染指数Key words
soil heavy metal pollution/remote sensing monitoring of pollution in space/ecological risk assess-ment/hyperspectral technology/comprehensive pollution index分类
资源环境引用本文复制引用
郭洁芸,许馨丹,万馨媛,杨胜杰,钟亮,李建龙..大面积农田土壤中重金属污染的空间分布及生态风险定量快速初步评价[J].宁夏大学学报（自然科学版中英文）,2026,47(1):90-96,7.基金项目
国家自然科学基金资助项目(324B2060) （324B2060）
江苏省研究生科研与实践创新计划基金资助项目(KYCX24-0221,KYCX25-0249) （KYCX24-0221,KYCX25-0249）
南京市重点科技专项基金资助项目(043013005001)) （043013005001）
科技部重点专项基金资助项目(2018YFD0800201) （2018YFD0800201）
