摘要
土壤重金属污染一直被认为是当今世界面临的主要环境问题之一.提出基于激光诱导击穿光谱和定标曲线的土壤重金属元素浓度预测方法.制备9种含不同成分浓度梯度的重金属元素的土壤样品.实验结果表明:该方法浓度预测的准确度较高;样品的浓度是影响预测准确度的关键因素.利用LIBS技术检测土壤重金属含量,能为土壤修复提供更加准确有效的数据,且节约时间及降低成本.
Heavy metal soil contamination has always been regarded as one of the major environmental problems in the world.Prediction method of heavy metal concentrations in soil based on laser-induced breakdown spectroscopy and calibration curves was proposed.Soil samples of 9 heavy metal elements with different concentration gradients were prepared.The results of the experiments showed that this method had high accuracy in concentration prediction,and the sample concentration was the key factor affecting the accuracy of prediction.The technique that detected heavy metal concentrations in soil by LIBS could provide more accurate and effective data for soil remediation,save time and reduce costs.
作者
丁宗玲
张丁烽
宋佩洲
周宗浩
孙进
DING Zongling;ZHANG Dingfeng;SONG Peizhou;ZHOU Zonghao;SUN Jin(School of Physics and Optoelectronics Engineering,Anhui University,Hefei 230601,China)
出处
《安徽大学学报(自然科学版)》
CAS
北大核心
2022年第1期43-46,共4页
Journal of Anhui University(Natural Science Edition)
基金
国家自然科学基金资助项目(21773001)
安徽省教育厅自然科学基金重点项目(KJ2019A0020)
安徽省高等学校省级质量工程项目(2019jyxm0066,2020kfkc022)。
关键词
土壤
重金属元素
激光诱导击穿光谱技术
定标曲线
soil
heavy metal elements
laser-induced breakdown spectroscopy
calibration curve