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    题名 作者 年代 出处 被引量
1西范坪矿区土壤铜元素的高光谱响应与反演模型研究显示文摘为解决传统的土壤地球化学测量方法成本高、效率低等问题,研究了利用可见-近红外光谱技术检测土壤重金属含量的简易方法。研究对西范坪矿区土壤反射光谱进行微分、连续统去除等六种变换,利用逐步回归法和皮尔逊相关系数选出对土壤铜含量敏感的特征波段,组成综合特征变量集,再应用不同的特征变量选取方法和参数建立估算模型并检验。结果表明:不同的光谱变换方法对土壤铜含量信息提取能力不同,每种光谱变换都对应特定的敏感波谱区间;基于综合光谱变换信息建立的土壤铜含量反演模型精度优于基于单种光谱变换信息建立的模型;利用综合光谱变换信息建立土壤铜含量反演模型,后向剔除法优于前向引入法和逐步回归法,当Removal取0.20时得到最优回归模型,其模型决定系数R2和预测模型决定系数R_(pre)~2分别达到了0.851和0.830,建模均方根误差RMSEC和预测均方根误差RMSEP分别为0.349和0.468mg·kg^(-1),能较好地检测土壤铜含量,同时为其他土壤重金属元素的光谱检测提供了思路。滕靖 何政伟 倪忠云 赵印泉 张志 2016光谱学与光谱分析2016,36,11:11
2从植被高光谱遥感到土壤重金属污染诊断的研究进展显示文摘随着遥感技术的迅速发展,高光谱遥感由于其对微量元素的探测能力强,为诊断土壤重金属污染提供了可靠的基础数据。综述了国内外对高光谱监测植被/土壤重金属的研究现状,探讨了从植被高光谱到土壤重金属诊断的局限性,并对其进行了展望。涂晔昕 费腾 2016湖北农业科学2016,55,6:10
3土壤重金属高光谱反演研究综述显示文摘土壤是地理环境统一体的重要组成要素。目前,由人类活动造成的土壤重金属污染对土壤生态环境和人类身体健康构成了严重威胁。快速获取土壤中重金属含量是治理土壤重金属污染的前提。高光谱遥感技术的发展为快速高效定量监测土壤重金属含量提供了科学的手段。通过对近20年利用高光谱遥感实现土壤重金属定量反演的方法以及不同光谱处理对反演模型精度的影响等方面的总结以及定量反演土壤重金属含量的基本流程及实现间接反演土壤重金属的相关性元素的简要概述。发现反演模型决定了反演精度,光谱预处理影响反演精度。最后探讨分析了高光谱遥感在土壤重金属研究方面的不足以及发展趋势。郭颖 毕如田 郑超 袁宇志 柴敏 郭治兴 2018环境科技2018,31,1:10
4Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands显示文摘In near-infrared spectroscopy,the traditional feature band extraction method has certain limitations.Therefore,a band extraction method named the three-step extraction method was proposed.This method combines characteristic absorption bands and correlation coefficients to select characteristic bands corresponding to various spectral forms and then uses stepwise regression to eliminate meaningless variables.Partial least squares regression(PLSR)and extreme learning machine(ELM)models were used to verify the effect of the band extraction method.Results show that the differential transformation of the spectrum can effectively improve the correlation between the spectrum and nickel(Ni)content.Most correlation coefficients were above 0.7 and approximately 20%higher than those of other transformation methods.The model effect established by the feature variable selection method based on comprehensive spectral transformation is only slightly affected by the spectral transformation form.Infive types of spectral transformation,the RPD values of the proposed method were all within the same level.The RPD values of the PLSR model were concentrated between 1.6 and 1.8,and those of the ELM model were between 2.5 and2.9,indicating that this method is beneficial for extracting more complete spectral features.The combination of the three-step extraction method and ELM algorithm can effectively retain important bands associated with the Ni content of the soil.The model based on the spectral band selected by the three-step extraction method has better prediction ability than the other models.The ELM model of the first-order differential transformation has the best prediction accuracy(RP^2=0.923,RPD=3.634).The research results provide some technical support for monitoring heavy metal content spectrum in local soils.Qian Lu Shijie Wang Xiaoyong Bai Fang Liu Shiqi Tian Mingming Wang Jinfeng Wang 2020Acta Geochimica2020,39,1:2
5土壤铜污染光谱特征波段分析、界限浓度划分及含量预测显示文摘土壤重金属污染高光谱预测的大部分研究集中在重金属浓度的预测上,但是预测模型精度不高,或精度较高而均方根误差较大。利用土壤Cu污染在538~834 nm波段区间的光谱数据检测土壤Cu污染的界限浓度及光谱特征波段区间,并根据界限浓度建立土壤Cu浓度的预测模型。先对土壤Cu污染光谱数据进行一阶导数处理,利用一阶导数距离检测土壤Cu污染的界限浓度及光谱特征波段;再利用经验模态分解(Empirical Mode Decomposition,EMD)和多重分形理论预测土壤Cu污染浓度,旨在为土壤重金属污染的高光谱研究提供依据,精确土壤重金属污染光谱的研究范围,为利用界限浓度建立土壤重金属浓度预测模型提供新思路。结果表明,538~834 nm波段区间土壤Cu污染的界限浓度为120~160μg?g^(-1),根据一阶导数距离最大值和多重分形谱参量将土壤Cu污染划分为60~120μg?g^(-1)和160~740μg?g^(-1)两个浓度区间,其预测土壤Cu污染的特征波段分别为730~760 nm和540~590 nm;根据划分的界限浓度,利用土壤Cu污染光谱多重分形谱参量、538~834 nm波段区间反射率最大值、一阶导数最大值、及实测土壤含水率、实测土壤有机质含量等参数,分别建立20~120μg?g^(-1)和160~740μg?g^(-1)两个浓度区间土壤Cu含量MLR预测模型,R2在0.99以上,RMSE最大为47.3。因此,多重分形谱参量Δα值和一阶导数距离最大值可作为土壤Cu污染界限浓度划分和光谱特征波段提取的依据,其界限浓度为120~160μg?g^(-1),光谱特征波段区间为730~760 nm和540~590 nm;该文构建的MLR模型可有效预测土壤Cu浓度。付萍杰 杨可明 2018生态环境学报2018,27,7:1
6Application of Geochemistry and VNIR Spectroscopy in Mapping Heavy Metal Pollution of Stream Sediments in the Takab Mining Area, NW of Iran显示文摘This study considered the possibility of using visible and near infrared(VNIR) spectral absorption feature parameters(SAFPs) in predicting the concentration and mapping the distribution of heavy metals in sediments of the Takab area. In total, 60 sediment samples were collected along main streams draining from the mining districts and tailing sites, in order to measure the concentration of As, Co, V, Cu, Cr, Ni, Hg, Ti, Pb and Zn and the reflectance spectra(350–2500 nm). The quantitative relationship between SAFPs(Depth500 nm, R610/500 nm, R1344/778 nm, Area500 nm, Depth2200 nm, Area2200 nm, Asym2200 nm) and geochemical data were assessed using stepwise multiple linear regression(SMLR) and enter multiple linear regression(EMLR) methods. The results showed a strong negative correlation between Ni and Cr with Area2200 nm, a significant positive correlation between As and Asym2200 nm, Ni and Co with Depth2200 nm, as well as Co, V and total values with Depth500 nm. The EMLR method eventuated in a significant prediction result for Ni, Cr, Co and As concentrations based on spectral parameters, whereas the prediction for Zn, V and total value was relatively weak. The spatial distribution pattern of geochemical data showed that mining activities, along with the natural weathering of base metal occurrences and rock units, has caused high concentrations of heavy metals in sediments of the Sarough River tributaries.Parisa PIROOZFAR Samad ALIPOUR Soroush MODABBERI David COHEN 2018Acta Geologica Sinica(English Edition)2018,92,6:0
7利用光谱反射技术监测镉对榆树叶片光合机构的影响显示文摘[目的]拓展光谱反射技术在监测和评价土壤-植物系统中重金属污染程度和植物生长状况的应用,进一步明确其生理生化机理。[方法]采用盆栽试验,研究不同镉浓度处理条件下榆树叶片的快速叶绿素荧光、反射光谱和镉离子含量的变化,以光合机构的变化作为衡量生理变化的指标,探讨利用光谱反射技术监测镉对榆树叶片光合机构的影响。[结果]榆树对镉具有一定的抗性,在镉处理条件下榆树不同部位的镉含量呈现出根>茎>叶的分布规律,但是当过量的镉进入叶片后,榆树叶片的快速叶绿素荧光诱导曲线形状发生明显变化,光合电子传递受到抑制,并对光合机构造成伤害,主要荧光参数φ_(Po)、ψ_(Eo)、RE_(o)/RC、PI_(abs)、PI_(total)随着镉处理浓度的增加不断降低,V_(J)、V_(I)、Mo、ABS/RC、TRo/RC、DIo/RC则显著增加。榆树叶片在可见光波段(500~680 nm)的反射率随着土壤中镉浓度的增加而升高,在近红外区(740~1000 nm)的反射率则呈先降低再升高的趋势。通过分析镉处理条件下榆树叶片典型植被指数与荧光参数的关系表明,PRI、mSR_(705)和mND_(705)可以准确、快速地反映镉胁迫后榆树叶片光合机构变化指标。[结论]光谱反射技术可以用于监测镉对榆树叶片光合机构的影响,也为后续开展卫星影像大面积分析提供理论基础和技术支持。柳洁 薛忠财 王欣然 代海龙 2024安徽农业科学2024,52,1:0
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