YIC-IR  > 中科院海岸带环境过程与生态修复重点实验室
Geostatistical interpolation of available copper in orchard soil as influenced by planting duration
Fu, Chuancheng1,2; Zhang, Haibo1,2; Tu, Chen1; Li, Lianzhen1; Luo, Yongming1,2; Luo, Yongming(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China)
2018
Source PublicationENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
Volume25Issue:1Pages:52-63
Contribution Rank第1完成单位
AbstractMapping the spatial distribution of available copper (A-Cu) in orchard soils is important in agriculture and environmental management. However, data on the distribution of A-Cu in orchard soils is usually highly variable and severely skewed due to the continuous input of fungicides. In this study, ordinary kriging combined with planting duration (OK_PD) is proposed as a method for improving the interpolation of soil A-Cu. Four normal distribution transformation methods, namely, the Box-Cox, Johnson, rank order, and normal score methods, were utilized prior to interpolation. A total of 317 soil samples were collected in the orchards of the Northeast Jiaodong Peninsula. Moreover, 1472 orchards were investigated to obtain a map of planting duration using Voronoi tessellations. The soil A-Cu content ranged from 0.09 to 106.05 with a mean of 18.10 mg kg(-1), reflecting the high availability of Cu in the soils. Soil A-Cu concentrations exhibited a moderate spatial dependency and increased significantly with increasing planting duration. All the normal transformation methods successfully decreased the skewness and kurtosis of the soil A-Cu and the associated residuals, and also computed more robust variograms. OK_PD could generate better spatial prediction accuracy than ordinary kriging (OK) for all transformation methods tested, and it also provided a more detailed map of soil A-Cu. Normal score transformation produced satisfactory accuracy and showed an advantage in ameliorating smoothing effect derived from the interpolation methods. Thus, normal score transformation prior to kriging combined with planting duration (NSOK_PD) is recommended for the interpolation of soil A-Cu in this area.
KeywordOrchard Soil Available Cu Planting Duration Geostatistical Interpolation Normalization Methods Jiaodong Peninsula
DOI10.1007/s11356-016-7882-8
Funding OrganizationYantai Science and Technology Development Project(2013ZH080) ; National High Technology Research and Development Program 863(2012AA06A204-4)
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Indexed BySCI
WOS KeywordLAND-USE INFORMATION ; HIGHLY SKEWED DATA ; SPATIAL PREDICTION ; CONTAMINATED SITE ; CATEGORICAL INFORMATION ; ORGANIC-CARBON ; HEAVY-METALS ; AREA ; CHINA ; UNCERTAINTY
SubtypeArticle
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS IDWOS:000419608400008
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Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/23561
Collection中科院海岸带环境过程与生态修复重点实验室
Corresponding AuthorLuo, Yongming; Luo, Yongming(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China)
Affiliation1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author AffilicationYantai Institute of Coastal Zone Research, Chinese Academy of Sciences
Corresponding Author AffilicationYantai Institute of Coastal Zone Research, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Fu, Chuancheng,Zhang, Haibo,Tu, Chen,et al. Geostatistical interpolation of available copper in orchard soil as influenced by planting duration[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2018,25(1):52-63.
APA Fu, Chuancheng,Zhang, Haibo,Tu, Chen,Li, Lianzhen,Luo, Yongming,&Luo, Yongming.(2018).Geostatistical interpolation of available copper in orchard soil as influenced by planting duration.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,25(1),52-63.
MLA Fu, Chuancheng,et al."Geostatistical interpolation of available copper in orchard soil as influenced by planting duration".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 25.1(2018):52-63.
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