Spectroscopy and Spectral Analysis, Volume. 42, Issue 11, 3552(2022)
Inversion and Estimation of Heavy Metal Element Content in Peach Forest Soil in Pinggu District of Beijing
Figures & Tables(11)
Fig. 1. Overview of the study area and distribution location of sampling points
Fig. 2. Reflectance spectra (a) and first derivative transformation (b) of leaves under heavy metal stress and normal leaves
Fig. 3. Pearson correlations of spectral data using four transformations
Fig. 5. Accuracy verification of heavy metal content prediction model for Cd, As and Pb
Table 1. Descriptive statistics of heavy metal content in soil
View tableView in ArticleTable 1. Descriptive statistics of heavy metal content in soil
含量/
(mg·kg-1)背景值/
(mg·kg-1)比值 危害程度
等级Cd 0.189 0.119 1.588 6 As 11.54 7.09 1.62 5 Pb 33.17 24.6 1.35 4 Cu 29.78 18.7 1.592 3 Zn 5.247 57.5 0.09 2 Cr 84.193 29.8 2.83 1
Table 2. Parameter of blue edge, yellow edge and red edge
View tableView in ArticleTable 2. Parameter of blue edge, yellow edge and red edge
叶片组 蓝边
位置/nm黄边
位置/nm红边
位置/nm红边
斜率红边
面积重金属胁迫 493 580 688 0.000 82 0.037 正常 494 579 695 0.000 88 0.044
Table 3. Correlation coefficients between the contents of three heavy metals and the characteristic absorption bands of four spectral transformation
View tableView in ArticleTable 3. Correlation coefficients between the contents of three heavy metals and the characteristic absorption bands of four spectral transformation
变换形式 元素 特征波段及相关系数 FD 550 945 1 080 1 770 2 120 2 270 Cd -0.407** 0.728** -0.359** 0.354** -0.210* 0.276* As -0.278* 0.675** -0.398** 0.342** -0.221* 0.303** Pb -0.251* 0.664** -0.420** 0.330** -0.215* 0.306** SD 430 945 1 000 1 050 1 375 1 630 Cd 0.342** -0.460** -0.351** -0.396** 0.546** -0.253* As 0.296* -0.434** -0.381** -0.364** 0.514** -0.261* Pb 0.294* -0.424** -0.399** -0.346** 0.508** -0.259* RL 780 1 090 1 375 1 640 1 830 1 940 Cd 0.478** 0.460** 0.401** 0.338** 0.325** 0.332** As 0.424** 0.414** 0.355** 0.291* 0.278* 0.261** Pb 0.417** 0.409** 0.351** 0.287* 0.275* 0.260** CR 560 780 1 090 1 375 1 830 2 180 Cd -0.424** -0.485** -0.462** -0.414** -0.358** -0.356** As -0.339** -0.427** -0.413** -0.366** -0.309** -0.294* Pb -0.333** -0.419** -0.408** -0.361** -0.305** -0.290*
Table 4. Characteristic band determined by stepwise regression
View tableView in ArticleTable 4. Characteristic band determined by stepwise regression
金属元素 变化形式 特征波段 Cd FD 550 945 SD 945 1 050 1 375 RL 780 1 375 1 640 CR 780 1 375 1 830 As FD 945 SD 945 1 050 1 270 RL 780 1 375 CR 780 1 375 Pd FD 945 SD 945 1 050 1 375 RL 780 1 375 CR 780 1 375
Table 5. Vegetation indexes and its correlation coefficients with the contents of three heavy metals
View tableView in ArticleTable 5. Vegetation indexes and its correlation coefficients with the contents of three heavy metals
植被
指数计算公式 相关系数 Cd As Pb NDVI705 I1=(R750-R445)/(R750+R445) 0.43** 0.40** 0.41** CRL2 I2=(1/R510)-(1/R700) 0.30 0.27 0.28 SIPI I3=(R800-R445)/(R800+R680) 0.44** 0.40** 0.42** NDWI I4=(R857-R1 241)/(R857+R1 241) -0.61** -0.58** -0.58** HMSVI I5=(R1 375-R945)/(R1 375-R780) 0.70** 0.69** 0.68**
Table 6. Spectral models of three heavy metals
View tableView in ArticleTable 6. Spectral models of three heavy metals
元素 拟合公式 R2 RMSE Cd Y=0.44X+0.193 0.631 0.220 As Y=7.436lnX+13.161 0.633 1.394 Pb Y=-15.359X+13.583X2+23.541 0.621 2.403
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Hong-jun LIU, Teng NIU, Qiang YU, Kai SU, Lin-zhe YANG, Wei LIU, Hui-yuan WANG. Inversion and Estimation of Heavy Metal Element Content in Peach Forest Soil in Pinggu District of Beijing[J]. Spectroscopy and Spectral Analysis, 2022, 42(11): 3552
Paper Information
Category: Research Articles
Received: Sep. 13, 2021
Accepted: --
Published Online: Nov. 23, 2022
The Author Email: LIU Hong-jun (liuhongjun_keai9@bjfu.edu.cn)
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