Rapid identification of soil cadmium pollution risk at regional scale based on visible and near-infrared spectroscopy

Environmental Pollution

Volumn 206, Issue , 2015, Pages 217-226

  Chen, Tao ^a   Chang, Qingrui ^a   Clevers, J G P W ^b   Kooistra, L ^b  

^a NORTHWEST A F UNIVERSITY   (China)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Back propagation neural network; Indicator kriging; Orthogonal signal correction; Soil cadmium; Visible and near infrared spectroscopy

Indexed keywords

BACKPROPAGATION; CADMIUM; FERTILIZERS; HEAVY METALS; INFRARED DEVICES; INTERPOLATION; IRRIGATION; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; POLLUTION; REFLECTION; SEWAGE; SOILS; SPECTROSCOPY; SPECTRUM ANALYSIS; TORSIONAL STRESS;

BACK PROPAGATION NEURAL NETWORKS; INDICATOR KRIGING; ORTHOGONAL SIGNAL CORRECTION; SOIL CADMIUMS; VISIBLE AND NEAR-INFRARED SPECTROSCOPY;

SOIL POLLUTION;

CADMIUM; SEWAGE; SOIL; SOIL POLLUTANT;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CADMIUM; IDENTIFICATION METHOD; KRIGING; LEAST SQUARES METHOD; NEAR INFRARED; SOIL POLLUTION; SPECTROSCOPY; TOPSOIL;

ACCURACY; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORK; CALIBRATION; CHEMICAL ANALYSIS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; FEASIBILITY STUDY; GEOSTATISTICAL ANALYSIS; INFORMATION PROCESSING; INTERMETHOD COMPARISON; IRRIGATION (AGRICULTURE); NEAR INFRARED SPECTROSCOPY; NOISE REDUCTION; ORTHOGONAL SIGNAL CORRECTION; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; SEWAGE; SOIL ANALYSIS; SOIL POLLUTION; VISIBLE NEAR INFRARED REFLECTANCE SPECTROSCOPY; ANALYSIS; CHEMISTRY; CHINA; DEVICES; ENVIRONMENTAL MONITORING; POLLUTION; PROCEDURES; REGRESSION ANALYSIS; SOIL; SOIL POLLUTANT; STANDARDS; TIME FACTOR;

CHINA;

AGRICULTURAL IRRIGATION; CADMIUM; CHINA; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTION; LEAST-SQUARES ANALYSIS; NEURAL NETWORKS (COMPUTER); SEWAGE; SOIL; SOIL POLLUTANTS; SPECTROSCOPY, NEAR-INFRARED; TIME FACTORS;

EID: 84937215255     PISSN: 02697491     EISSN: 18736424     Source Type: Journal    
DOI: 10.1016/j.envpol.2015.07.009     Document Type: Article

References (63)

1. Agricultural Chemistry Committee of China Conventional Methods of Soil and Agricultural Chemistry Analysis 1983 Science Press Beijing (in Chinese)
2. R.A. Al-Asadi, and A.M. Mouazen Combining frequency domain reflectometry and visible and near infrared spectroscopy for assessment of soil bulk density Soil Tillage Res. 135 2014 60 70
3. E. Ben-Dor, and A. Banin Near-infrared analysis as a rapid method to simultaneously evaluate several soil properties Soil Sci. Soc. Am. J. 59 1995 364 372
4. E. Ben-Dor, Y. Inbar, and Y. Chen The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400-2500 nm) during a controlled decomposition process Remote Sens. Environ. 61 1997 1 15
5. H. Buddenbaum, and M. Steffens The effects of spectral pretreatments on chemometric analyses of soil profiles using laboratory imaging spectroscopy Appl. Environ. Soil Sci. 2012 2012 12
6. C.W. Chang, D.A. Laird, M.J. Mausbach, and C.R. Hurburgh Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties Soil Sci. Soc. Am. J. 65 2001 480 490
7. T. Chen, Q. Chang, and J. Liu Fractions and bioavailability spatial distribution of soil Cd under long-term sewage irrigation J. Agro-Environ. Sci. 33 2014 1322 1327 (in Chinese)
8. T. Chen, X. Liu, X. Li, K. Zhao, J. Zhang, J. Xu, J. Shi, and R.A. Dahlgren Heavy metal sources identification and sampling uncertainty analysis in a field-scale vegetable soil of Hangzhou, China Environ. Pollut. 157 2009 1003 1010
9. Y.-M. Chiang, L.-C. Chang, and F.-J. Chang Comparison of static-feedforward and dynamic-feedback neural networks for rainfall-runoff modeling J. Hydrol. 290 2004 297 311
10. E. Choe, F. van der Meer, F. van Ruitenbeek, H. van der Werff, B. de Smeth, and K.-W. Kim Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: a case study of the Rodalquilar mining area, SE Spain Remote Sens. Environ. 112 2008 3222 3233
11. R.C. Dalal, and R.J. Henry Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry Soil Sci. Soc. Am. J. 50 1986 120 123
12. K.W. Daniel, N.K. Tripathi, and K. Honda Artificial neural network analysis of laboratory and in situ spectra for the estimation of macronutrients in soils of Lop Buri (Thailand) Soil Res. 41 2003 47 59
13. P. Das, S. Samantaray, and G.R. Rout Studies on cadmium toxicity in plants: a review Environ. Pollut. 98 1997 29 36
14. M.S. Dhanoa, S.J. Lister, R. Sanderson, and R.J. Barnes The link between Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV) transformations of NIR spectra J. Near Infrared Spectrosc. 2 1994 43 47
15. J. Duckworth Mathematical data preprocessing C.A. Roberts, J. Workman Jr. J.B. Reeves Iii, Near-Infrared Spectroscopy in Agriculture 2004 American Society of Agronomy, Crop Science Society of America, Soil Science Society of America Madison, WI 115 132
16. J. Farifteh, F. Van der Meer, C. Atzberger, and E.J.M. Carranza Quantitative analysis of salt-affected soil reflectance spectra: a comparison of two adaptive methods (PLSR and ANN) Remote Sens. Environ. 110 2007 59 78
17. A. Gholizadeh, L. Borůvka, R. Vašát, M. Saberioon, A. Klement, J. Kratina, V. Tejnecký, and O. Drábek Estimation of potentially toxic elements contamination in anthropogenic soils on a brown coal mining dumpsite by reflectance spectroscopy: a case study PLoS One 10 2015 e0117457
18. N. Goldshleger, A. Chudnovsky, and R. Ben-Binyamin Predicting salinity in tomato using soil reflectance spectra Int. J. Remote Sens. 34 2013 6079 6093
19. N. Goldshleger, A. Chudnovsky, and E. Ben-Dor Using reflectance spectroscopy and artificial neural network to assess water infiltration rate into the soil profile Appl. Environ. Soil Sci. 2012 2012 9
20. P. Goovaerts Geostatistics for Natural Resources Evaluation 1997 Oxford University Press
21. P.A. Gorry General least-squares smoothing and differentiation by the convolution (Savitzky-Golay) method Anal. Chem. 62 1990 570 573
22. C.I. Grove, S.J. Hook, E.D. Paylor, J.P. Laboratory, U.S.N. Aeronautics, and S. Administration Laboratory Reflectance Spectra of 160 Minerals, 0.4 to 2.5 Micrometers 1992 NASA [and] Jet Propulsion Laboratory, California Institute of Technology
23. M. Gussarsson, H. Asp, S. Adalsteinsson, and P. Jensen Enhancement of cadmium effects on growth and nutrient composition of birch (Betula pendula) by buthionine sulphoximine (BSO) J. Exp. Bot. 47 1996 211 215
24. M. Haenlein, and A.M. Kaplan A beginner's guide to partial least squares analysis Underst. Stat. 3 2004 283 297
25. F. Haghiri Plant uptake of cadmium as influenced by cation exchange capacity, organic matter, zinc, and soil temperature J. Environ. Qual. 3 1974 180 183
26. S.S. Haykin Neural Networks: a Comprehensive Foundation 1994 Macmillan
27. W.D. Hively, G.W. McCarty, J.B. Reeves, M.W. Lang, R.A. Oesterling, and S.R. Delwiche Use of airborne hyperspectral imagery to map soil properties in tilled agricultural Fields Appl. Environ. Soil Sci. 2011 2011 13
28. K. Hornik, M. Stinchcombe, and H. White Multilayer feedforward networks are universal approximators Neural Netw. 2 1989 359 366
29. W. Huang, and S. Foo Neural network modeling of salinity variation in Apalachicola River Water Res. 36 2002 356 362
30. L. Jarup Hazards of heavy metal contamination Br. Med. Bull. 68 2003 167 182
31. T. Kemper, and S. Sommer Estimate of heavy metal contamination in soils after a mining accident using reflectance spectroscopy Environ. Sci. Technol. 36 2002 2742 2747
32. R.W. Kennard, and L.A. Stone Computer aided design of experiments Technometrics 11 1969 137 148
33. K. Kim, J.-M. Lee, and I.-B. Lee A novel multivariate regression approach based on kernel partial least squares with orthogonal signal correction Chemom. Intell. Lab. Syst. 79 2005 22 30
34. L. Kooistra, R. Wehrens, R.S.E.W. Leuven, and L.M.C. Buydens Possibilities of visible-near-infrared spectroscopy for the assessment of soil contamination in river floodplains Anal. Chim. Acta 446 2001 97 105
35. H.D. Li, Q.S. Xu, and Y.Z. Liang LibPLS: an integrated library for partial least squares regression and discriminant analysis PeerJ Prepr. 2 2014 e190v191 http://dx.doi.org/110.7287/peerj.preprints.7190v7281
36. W. Liu, J. Zhao, Z. Ouyang, L. Söderlund, and G. Liu Impacts of sewage irrigation on heavy metal distribution and contamination in Beijing, China Environ. Int. 31 2005 805 812
37. X. Liu, and J. Liu Using short wave visible-near infrared reflectance spectroscopy to predict soil properties and content Spectrosc. Lett. 47 2013 729 739
38. D.F. Malley, and P.C. Williams Use of near-infrared reflectance spectroscopy in prediction of heavy metals in freshwater sediment by their association with organic matter Environ. Sci. Technol. 31 1997 3461 3467
39. Z. Mamat, H. Yimit, R.Z.A. Ji, and M. Eziz Source identification and hazardous risk delineation of heavy metal contamination in Yanqi basin, northwest China Sci. Total Environ. 493 2014 1098 1111
40. M.J. Mclaughlin, and B.R. Singh Cadmium in Soils and Plants 1999 Kluwer Academic Publishers
41. J. Moros, S.F.-O.d Vallejuelo, A. Gredilla, A.d Diego, J.M. Madariaga, S. Garrigues, and M.d.l Guardia Use of reflectance infrared spectroscopy for monitoring the metal content of the estuarine sediments of the Nerbioi-Ibaizabal River (Metropolitan Bilbao, Bay of Biscay, Basque Country) Environ. Sci. Technol. 43 2009 9314 9320
42. B.M. Nicolaï, K. Beullens, E. Bobelyn, A. Peirs, W. Saeys, K.I. Theron, and J. Lammertyn Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review Postharvest Biol. Technol. 46 2007 99 118
43. C.M. Pandit, G.M. Filippelli, and L. Li Estimation of heavy-metal contamination in soil using reflectance spectroscopy and partial least-squares regression Int. J. Remote Sens. 31 2010 4111 4123
44. J.R. Peralta-Videa, M.L. Lopez, M. Narayan, G. Saupe, and J. Gardea-Torresdey The biochemistry of environmental heavy metal uptake by plants: implications for the food chain Int. J. Biochem. Cell. Biol. 41 2009 1665 1677
45. H.-Y. Ren, D.-F. Zhuang, A.N. Singh, J.-J. Pan, D.-S. Qiu, and R.-H. Shi Estimation of As and Cu contamination in agricultural soils around a mining area by reflectance spectroscopy: a case study Pedosphere 19 2009 719 726
46. Å. Rinnan, F.v.d Berg, and S.B. Engelsen Review of the most common pre-processing techniques for near-infrared spectra TrAC Trends Anal. Chem. 28 2009 1201 1222
47. S. Satarug, S.H. Garrett, M.A. Sens, and D.A. Sens Cadmium, environmental exposure, and health outcomes Environ. Health Perspect. 118 2010 182 190
48. T. Shi, Y. Chen, Y. Liu, and G. Wu Visible and near-infrared reflectance spectroscopy - An alternative for monitoring soil contamination by heavy metals J. Hazard. Mater. 265 2014 166 176
49. G. Siebielec, G.W. McCarty, T.I. Stuczynski, and J.B. Reeves 3rd Near- and mid-infrared diffuse reflectance spectroscopy for measuring soil metal content J. Environ. Qual. 33 2004 2056 2069
50. B. Stenberg, and R.A.V. Rossel Diffuse reflectance spectroscopy for high-resolution soil sensing R.A. Viscarra Rossel, A.B. McBratney, B. Minasny, Proximal Soil Sensing 2010 Springer Netherlands 29 47
51. L. Sun, Y. Zhang, T. Sun, Z. Gong, X. Lin, and H. Li Temporal-spatial distribution and variability of cadmium contamination in soils in Shenyang Zhangshi irrigation area, China J. Environ. Sci. 18 2006 1241 1246
52. P. Tchounwou, C. Yedjou, A. Patlolla, and D. Sutton Heavy metal toxicity and the environment A. Luch, Molecular, Clinical and Environmental Toxicology 2012 Springer Basel 133 164
53. R.A. Viscarra Rossel, D.J.J. Walvoort, A.B. McBratney, L.J. Janik, and J.O. Skjemstad Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties Geoderma 131 2006 59 75
54. R.A.V. Viscarra Rossel, and T. Behrens Using data mining to model and interpret soil diffuse reflectance spectra Geoderma 158 2010 46 54
55. A. Volkan Bilgili, H.M. van Es, F. Akbas, A. Durak, and W.D. Hively Visible-near infrared reflectance spectroscopy for assessment of soil properties in a semi-arid area of Turkey J. Arid Environ. 74 2010 229 238
56. J. Wang, L. Cui, W. Gao, T. Shi, Y. Chen, and Y. Gao Prediction of low heavy metal concentrations in agricultural soils using visible and near-infrared reflectance spectroscopy Geoderma 216 2014 1 9
57. J.L. Wang, C.Y. Zhang, X.F. Wang, G.F. Zhu, and D.J. Chen Effect of long-term batteries wastewater irrigation on the heavy metal speciation in cultivated soils Chin. J. Soil Sci. 40 2009 1181 1184 (in Chinese)
58. R. Webster, and M.A. Oliver Geostatistics for Environmental Scientists 2007 Wiley
59. S. Wold, H. Antti, F. Lindgren, and J. Öhman Orthogonal signal correction of near-infrared spectra Chemom. Intell. Lab. Syst. 44 1998 175 185
60. S. Wold, A. Ruhe, H. Wold, and I.,W. Dunn The collinearity problem in linear regression: the partial least squares (PLS) approach to generalized inverses SIAM J. Sci. Stat. Comput. 5 1984 735 743
61. Y. Wu, J. Chen, J. Ji, P. Gong, Q. Liao, Q. Tian, and H. Ma A mechanism study of reflectance spectroscopy for investigating heavy metals in soils Soil Sci. Soc. Am. J. 71 2007 918 926
62. Y.Z. Wu, J. Chen, J.F. Ji, Q.J. Tian, and X.M. Wu Feasibility of reflectance spectroscopy for the assessment of soil mercury contamination Environ. Sci. Technol. 39 2005 873 878
63. Z. Zhu, Z. Wang, J. Li, Y. Li, Z. Zhang, and P. Zhang Distribution of rare earth elements in sewage-irrigated soil profiles in Tianjin, China J. Rare Earths 30 2012 609 613