米易县矿区土壤重金属含量反演研究
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摘要
以四川省米易县为研究区,基于植物的实测光谱数据和实测土壤重金属含量,对研究区土壤重金属含量反演进行研究。结果表明:基于红边位置建立的估测模型对重金属元素Ag、Mo、Ba含量的预测较为准确,相关系数都达0. 7以上。Mo元素在德胜矿区的含量最多,Ba元素在白马矿区含量最多,Ag元素在矿区整体含量较少,在元宝山矿区最多,但在河流下游富集较严重;在治理下游重金属污染的同时也应做好上游的防治措施,加强矿区环境保护和土壤恢复。
Taking Miyi County of Sichuan Province as the research area,based on the measured spectral data of plants and the measured heavy metal content of soil,the inversion of soil heavy metal content in the study area was studied. The results show that the estimation model based on the location of the red edge is more accurate in predicting the content of elements Ag,Mo and Ba,and the correlation coefficient is above 0. 7. The Mo element is the most abundant in the Desheng mining area,the Ba element is the most abundant in the Baima mining area,and the Ag element is less in the overall content of the mining area.It is the most in the Yuanbaoshan mining area,but it is more concentrated in the lower reaches of the river; The upstream prevention and control measures should be done to strengthen the environmental protection and soil restoration in the mining area.
Taking Miyi County of Sichuan Province as the research area,based on the measured spectral data of plants and the measured heavy metal content of soil,the inversion of soil heavy metal content in the study area was studied. The results show that the estimation model based on the location of the red edge is more accurate in predicting the content of elements Ag,Mo and Ba,and the correlation coefficient is above 0. 7. The Mo element is the most abundant in the Desheng mining area,the Ba element is the most abundant in the Baima mining area,and the Ag element is less in the overall content of the mining area.It is the most in the Yuanbaoshan mining area,but it is more concentrated in the lower reaches of the river; The upstream prevention and control measures should be done to strengthen the environmental protection and soil restoration in the mining area.
引文
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[2]吴先亮,黄先飞,李朝婵,等.黔西煤矿区土壤重金属污染水平及其形态[J].水土保持研究,2018,25(6):335-341.
[3]袁中强,曹春香,鲍达明,等.若尔盖湿地土壤重金属元素含量的遥感反演[J].湿地科学,2016,14(1):113-116.
[4]孙问娟,李新举.煤矿区土壤有机碳含量的高光谱预测模型[J].水土保持学报,2018,32(5):346-351.
[5]姚世厅,李玉倩,王德利,等.北京万庄金矿区土壤重金属分布特征及污染评价[J].中国矿业,2018,27(2):59-65.
[6]涂晔昕,费腾.从植被高光谱遥感到土壤重金属污染诊断的研究进展[J].湖北农业科学,2016,55(6):1361
[7]张静静,周卫红,邹萌萌,等.高光谱遥感监测大面积土壤重金属污染的研究现状、原理及展望[J].江苏农业科学,2018,46(12):9-13.