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不同草坪草叶片Pb2+含量的高光谱估测OA

Establishment of a hyperspectral estimation model for Pb2+content in turfgrass under heavy metal stress

中文摘要英文摘要

[目的]了解草坪草作为降低环境污染的理想修复材料的富集重金属能力,判断草坪草土壤重金属修复情况,确定草坪草刈割时期.[方法]以红象高羊茅(Festuca arundinacea cv.Hongxiang)、百灵鸟多年生黑麦草(Lolium perenne cv.Balingniao)和肯塔基草地早熟禾(Poa pratensis cv.Kentucky)为研究对象,分别用不同浓度Pb2+(C4H6O4Pb·3H2O,0、500、1 000、1 500、2 000 mol/L)溶液进行处理,并在胁迫后期测定不同草坪草叶片重金属Pb2+含量,利用SOC710VP成像光谱仪采集冠层光谱信息,用Person相关系数法筛选出与草坪草叶片Pb2+含量相关性较高的植被指数,以草坪草Pb2+含量与倒数变换为因变量,植被指数为自变量,利用多元逐步回归(MSR)和随机森林(RF)方法,建立草坪草Pb2+含量估测模型,并比较两种模型的精度.[结果]1)在1 000 mol/L时,百灵鸟多年生黑麦草Pb2+积累量最大,肯塔基草地早熟禾次之,红象高羊茅Pb2+积累量最小;而在高浓度2 000 mol/L时,红象高羊茅Pb2+积累量最大,百灵鸟多年生黑麦草次之,肯塔基草地早熟禾最小;2)在草坪草冠层反射光谱中,580 nm左右形成一个反射峰,即绿峰,在700 nm左右形成一个反射谷,即红谷,在760~900 nm反射率升高,形成"近红外反射平台";3)MSRPb模型(R2=0.701 6)比RFPb模型(R2=0.279 7)的精度高.[结论]MSR模型可以更好地反演草坪草冠层重金属Pb2+含量变化.

[Objective]Real-time assessment of the heavy metal enrichment capacity of turfgrass-an ideal re-mediation material for reducing environmental pollution-is essential for evaluating remediation effectiveness and de-termining the optimal harvest time of turfgrass heavy metals.[Method]Festuca arundinacea Hong Xiang,Lolium pe-renne Balingian,and Poa pratensis Kentucky were used as experiment materials.Plants were treated with Pb2+(C4H6O4Pb·3H20,0,500,1 000,1 500,2 000 mol/L)solutions.The Pb2+content in turfgrass leaves was mea-sured at the later stage of stress.Canopy spectral data were simultaneously collected using an SOC710VP imaging spectrometer.Vegetation indices highly correlated with leaf Pb2+content were screened using Person correlation coef-ficient method.Pb2+content and its reciprocal transformation were used as dependent variables,vegetation indices as the independent variable,and multiple stepwise regression(MSR)and random forest(RF)methods were applied to establish Pb2+content estimation models.Model performance was compared to evaluate predictive accuracy.[Result]1)At 1 000 mol/L Pb2+,Loliumperenne Balingniao exhibited the highest Pb2+accumulation,followed by pratensis Kentucky,while Festuca arundinacea Hongxiang showed the lowest accumulation.At the higher concentration of 2 000 mol/L,Pb2+accumulation was greatest in Festuca arundinacea Hongxiang,followed by Loliumperenne Baling-niao,with Poa pratensis Kentucky showing the lowest accumulation.2)The turfgrass canopy reflectance spectrum ex-hibited a reflectance peak at approximately 580 nm(green peak),a reflectance valley near700 nm(red valley),and a pronounced increase in reflectance between 760~900 nm,forming a"near-infrared reflectance platform".3)The MSRPb model(R2=0.701 6),demonstrated substantially higher accuracy than the RFPb model(R2=0.279 7),in-dicating that the MSR model more effectively captured changes in Pb2+content within the turfgrass canopy.[Conclusion]This study provides a foundation for the rapid nondestructive detection of heavy metal Pb2+enrichment content in turfgrass leaves.

汪云君;柳小妮;纪童;杨卓丽;漆昊;马成龙

甘肃农业大学草业学院,草业生态系统教育部重点实验室,甘肃省草业工程实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070甘肃农业大学草业学院,草业生态系统教育部重点实验室,甘肃省草业工程实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070甘肃农业大学草业学院,草业生态系统教育部重点实验室,甘肃省草业工程实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070甘肃农业大学草业学院,草业生态系统教育部重点实验室,甘肃省草业工程实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070甘肃农业大学草业学院,草业生态系统教育部重点实验室,甘肃省草业工程实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070甘肃农业大学草业学院,草业生态系统教育部重点实验室,甘肃省草业工程实验室,中-美草地畜牧业可持续发展研究中心,甘肃 兰州 730070

农业科技

草坪草重金属植被指数光谱反演

lawn grassheavy metalvegetation indexspectral inversion

《草原与草坪》 2026 (1)

1-8,8

甘肃省草原监测评价项目(GSZYTC-ZCJC-21010)2021年自列省级林业和草原科技项目"河西荒漠区草地土壤碳密度空间分布及碳储量估算"(2021kj071)甘肃省新一轮草原补奖效益评估及草原生态评价研究项目(XZ20191225)

10.13817/j.cnki.cyycp.2026.01.001

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