A comprehensive support vector machine-based classification model for soil quality assessment

Soil and Tillage Research

Volumn 155, Issue , 2016, Pages 19-26

  Liu, Yong ^a   Wang, Huifeng ^a   Zhang, Hong ^a   Liber, Karsten ^a,b  

^a SHANXI UNIVERSITY   (China)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

Comprehensive classification model; Heavy metal contamination; Soil fertility; Soil quality assessment; Support vector machine

Indexed keywords

AIR QUALITY; HEAVY METALS; QUALITY MANAGEMENT; SOILS; SUPPORT VECTOR MACHINES; VECTORS;

BIOLOGICAL FUNCTIONS; CLASSIFICATION MODELS; ECOLOGICAL PROBLEM; ENVIRONMENTAL QUALITY STANDARDS; HEAVY METAL CONTAMINATION; SOIL CLASSIFICATION; SOIL FERTILITY; SOIL QUALITY ASSESSMENTS;

SOIL POLLUTION;

AIR QUALITY; ASSESSMENT METHOD; HEAVY METAL; NUMERICAL MODEL; SOIL CLASSIFICATION; SOIL FERTILITY; SOIL QUALITY; SUPPORT VECTOR MACHINE; WATER QUALITY;

ANIMALIA;

EID: 84939620586     PISSN: 01671987     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.still.2015.07.006     Document Type: Article

References (46)

1. Akbulut S., Grieken R., Kilic M.A., Cevik U., Rotondo G.G. Identification of heavy metal origins related to chemical and morphological soil properties using several non-destructive X-ray analytical methods. Environ. Monit. Assess. 2013, 185(3):2377-2394.
2. Araghinejad S. Support Vector Machines. Data-Driven Modeling: Using MATLAB03 in Water Resources and Environmental Engineering 2014, Springer, Netherlands.
3. Aryafar A., Gholami R., Rooki R., Ardejani F.D. Heavy metal pollution assessment using support vector machine in the Shur River, Sarcheshmeh copper mine, Iran. Environ. Earth Sci. 2012, 67(4):1191-1199.
4. Bai Y., Wang Y. Spatial variability of soil chemical properties in a jujube slope on the Loess Plateau of China. Soil Sci. 2011, 176(10):550-558.
5. Behzad M., Asghari K., Eazi M., Palhang M. Generalization performance of support vector machines and neural networks in runoff modeling. Expert Syst. Appl. 2009, 36(4):7624-7629.
6. Bhaduri D., Purakayastha T.J. Long-term tillage, water and nutrient management in rice-wheat cropping system: assessment and response of soil quality. Soil Tillage Res. 2014, 144:83-95.
7. Bhuiyan M.A., Parvez L., Islam M.A., Dampare S.B., Suzuki S. Heavy metal pollution of coal mine-affected agricultural soils in the northern part of Bangladesh. J. Hazard. Mater. 2010, 173(1):384-392.
8. Bishop C.M. Pattern Recognition and Machine Learning 2006, vol. 4. Springer, New York, No. 4, p. 12.
9. Cachada A., Pereira M.E., Ferreira d.S.E., Duarte A.C. Sources of potentially toxic elements and organic pollutants in an urban area subjected to an industrial impact. Environ. Monit. Assess. 2012, 184(1):15-32.
10. Chen F., Jiang X., Tang F., Bian Y. Application of AHP and GIS in evaluation of agricultural soil heavy metals pollution. Environ. Pollut. Control 2012, 7. 004.
11. Dibike Y.B., Velickov S., Solomatine D., Abbott M.B. Model induction with support vector machines: introduction and applications. J. Comput. Civil Eng. 2001, 15(3):208-216.
12. Fang R.H. Fuzzy synthetical evaluation of soil fertility in the area of Guanzhong Plain and the Loess Plateau-a case study in Chang'an District of Xi'an. Agric. Res. Arid Areas 2012, 1:006. (in Chinese).
13. Franco-Uría A., López-Mateo C., Roca E., Fernández-Marcos M.L. Source identification of heavy metals in pastureland by multivariate analysis in NW Spain. J. Hazard. Mater. 2009, 165(1):1008-1015.
14. Fu S.M., Xiao F., Su W.J., Qiu J.Q., Wang D.F., Chang X.Y. The evaluation of heavy metals pollution in soils of the lower reaches of the Hengshi River within the Dabaoshan mining area based on fuzzy mathematics. Geol. Bull. China 2014, 33(8):1140-1146.
15. Guo G., Fengchang Wu, Xie F., Zhang R. Spatial distribution and pollution assessment of heavy metals in urban soils from southwest china. J. Environ. Sci. (China) 2012, 24(3):410-418.
16. Han D.A.W.E.I., Cluckie I. Support vector machines identification for runoff modeling. In Proceedings of the sixth international conference on hydroinformatics 2004, 21-24.
17. Hastie T., Rosset S., Tibshirani R., Zhu J. The entire regularization path for the support vector machine. J. Mach. Learn. Res. 2004, 5:1391-1415.
18. Hui X. Analysis of heavy metal pollution in soil by fuzzy comprehensive evaluation method. Comput. Eng. Appl. 2013.
19. Jiang X., Lu W.X., Yang Q.C., Zhao H.Q. Application of support vector machine in soil environmental quality assessment. China Environ. Sci. 2014, 34(5):1229-1235. (in Chinese).
20. Karim Z., Qureshi B.A., Mumtaz M., Qureshi S. Heavy metal content in urban soils as an indicator of anthropogenic and natural influences on landscape of Karachi-a multivariate spatio-temporal analysis. Ecol. Indic. 2014, 42:20-31.
21. Kelepertzis E. Accumulation of heavy metals in agricultural soils of Mediterranean: insights from Argolida basin, Peloponnese, Greece. Geoderma 2014, 221:82-90.
22. Kovačević M., Bajat B., Gajić B. Soil type classification and estimation of soil properties using support vector machines. Geoderma 2010, 154(3):340-347.
23. Lapin M., Hein M., Schiele B. Learning using privileged information: SVM+ and weighted SVM. Neural Netw. 2014, 53:95-108.
24. Li D.S., Yang Z.F., Jin Z.B. Geochemical characters of trace element of soil from the Taiyuan basin. Geol. Prospect. 2004, 40(3):86-89. (in Chinese).
25. Li Z., Ma Z., van der Kuijp T.J., Yuan Z., Huang L. A review of soil heavy metal pollution from mines in China: pollution and health risk assessment. Sci. Total Environ. 2014, 468:843-853.
26. Li Z., Zhou M., Xu L., Lin H., Pu H. Training sparse SVM on the core sets of fitting-planes. Neurocomputing 2014, 130:20-27.
27. Li Y. Effect of pH and organic matter on the bioavailability Cd and Zn in soil. J. Yunnan Agric. Univ. 2004, 20(4):539-543. (in Chinese).
28. Liao Y.C., Chien S.C., Wang M.C., Shen Y., Hung P.L., Das B. Effect of transpiration on Pb uptake by lettuce and on water soluble low molecular weight organic acids in rhizosphere. Chemosphere 2006, 65(2):343-351.
29. Liu Z.P., Shao M.A., Wang Y.Q. Large-scale spatial interpolation of soil pH across the Loess Plateau, China. Environ. Earth Sci. 2013, 69(8):2731-2741.
30. Montanarella, L., Rusco, E., 2008. Threats to soil quality in Europe.
31. Nielsen, D.R., Bouma, J., 1985. Soil spatial variability.
32. Poggi J.M., Portier B. PM10 forecasting using clusterwise regression. Atmos. Environ. 2011, 45(38):7005-7014.
33. Praveena S.M., Yuswir N.S., Aris A.Z., Hashim Z. Contamination assessment and potential human health risks of heavy metals in klang urban soils: a preliminary study. Environ. Earth Sci. 2014.
34. Saby N.P.A., Thioulouse J., Jolivet C.C., Ratié C., Boulonne L., Bispo A., Arrouays D. Multivariate analysis of the spatial patterns of 8 trace elements using the French soil monitoring network data. Sci. Total Environ. 2009, 407(21):5644-5652.
35. Steinwart I., Christmann A. Support Vector Machines 2008, Springer Science & Business Media.
36. Taylor M.D., Kim N.D., Hill R.B., Chapman R. A review of soil quality indicators and five key issues after 12 yr soil quality monitoring in the Waikato region. Soil Use Manage. 2010, 26(3):212-224.
37. Teng Y., Wu J., Lu S., Wang Y., Jiao X., Song L. Soil and soil environmental quality monitoring in China: a review. Environ. Int. 2014, 69:177-199.
38. Vapnik, V.N., 1995. The Nature of Statistical Learning Theory Berlin.
39. Wang X.J., Lai J.Q., Lu Y.H., Li D.S., Zhou J.H., Wang J.W. Main source of soil heavy metal pollution based on factor analysis in Taiyuan. Ecol. Environ. 2008, 17(2):671-676. (in Chinese).
40. Wang L. Support Vector Machines: Theory and Applications 2005, Nanyang Technological University, School of Electrical & Electronic Engineering.
41. Were K., Bui D.T., Dick Øystein B., Singh B.R. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an afromontane landscape. Ecol. Indic. 2015, 52:394-403.
42. Xu F.Y., Hu Y.Y. Distribution and pollution assessment on heavy metals in urban soils of different functional areas in Chongqing, Chinese. J. Soil Sci. 2014, 45(1):227-231. (in Chinese).
43. Yu H., Ni S.J., He Z.W., Zhang C.J., Nan X., Kong B., et al. Analysis of the spatial relationship between heavy metals in soil and human activities based on landscape geochemical interpretation. J. Geochem. Explor. 2014, 146:136-148.
44. Zhang L., Fang-Li S.U., Guo C.J., Hong Y.L., Song Y.L. Application of grey correlation analysis in different models of ecological restoration in soil quality evaluation. J. Shenyang Agric. Univ. 2009, (in Chinese).
45. Zheng L., Wu W., Wei Y., Hu K. Effects of straw return and regional factors on spatio-temporal variability of soil organic matter in a high-yielding area of northern china. Soil Tillage Res. 2015, 145:78-86.
46. Zhou X., An Y.L., Xu W.C., Deng M.L. Fuzzy evaluation on soil fertility of cultivated land based on GIS and improved AHP-a Case of Puan County in Guizhou Province [J]. Chin. J. Soil Sci. 2009, 1:020.