Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model

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	Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model
	Liu, Meiling ; Liu, Xiangnan ; Li, Jonathan ; Li, Ting ; Li J(李军)
刊名	http://dx.doi.org/10.1016/j.jag.2012.04.014
	2012-10
关键词	NEAR-INFRARED SPECTROSCOPY NEURAL-NETWORK MODEL ORYZA-SATIVA L. RIVER FLOODPLAINS SOIL CONTAMINATION HYPERSPECTRAL DATA SPECTRAL INDEXES REFLECTANCE AREA CHLOROPHYLL
英文摘要	National Natural Science Foundation of China [40771155]; National High-Tech R&D Program of China [2007AA12Z174]; The objective of this study was to determine the levels of heavy metals cadmium (Cd) and copper (Cu) in rice by upscaling a field-scale heavy metal assessment (FHMA) model from field to regional scale. The FHMA model was established on the basis of spectral parameters in combination with soil parameters by employing a generalized dynamic fuzzy neural network. The piecewise function and ordinary kriging were developed to suit the upscaled spectral parameters and soil parameters, respectively. In addition, the network structure and fuzzy rules, which had already been developed in the FHMA model, would be subsequently extracted as those of the regional-scale heavy metal assessment (RHMA) model. The results showed that the latter performed well at prediction with a correlation coefficient (R-2) and model efficiency (ME) greater than 0.70, and can be applied to other areas, perhaps universally. This study suggests that it is feasible to accurately estimate regional heavy-metal concentrations in rice by scaling up the FHMA if such a strategy is appropriately selected and finds that the piecewise function is well suited to transferring spectral data from a field to a regional scale. (c) 2012 Elsevier B.V. All rights reserved.
语种	英语
出版者	INT J APPL EARTH OBS
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92461]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Liu, Meiling,Liu, Xiangnan,Li, Jonathan,et al. Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model[J]. http://dx.doi.org/10.1016/j.jag.2012.04.014,2012.
APA	Liu, Meiling,Liu, Xiangnan,Li, Jonathan,Li, Ting,&李军.(2012).Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model.http://dx.doi.org/10.1016/j.jag.2012.04.014.
MLA	Liu, Meiling,et al."Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model".http://dx.doi.org/10.1016/j.jag.2012.04.014 (2012).