DOI: 10.1016/j.atmosenv.2014.09.059
Scopus记录号: 2-s2.0-84907701347
论文题名: Modelling and mapping spatio-temporal trends of heavy metal accumulation in moss and natural surface soil monitored 1990-2010 throughout Norway by multivariate generalized linear models and geostatistics
作者: Nickel S ; , Hertel A ; , Pesch R ; , Schröder W ; , Steinnes E ; , Uggerud H ; T
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 99 起始页码: 85
结束页码: 93
语种: 英语
英文关键词: Cadmium
; Generalized linear models
; Geostatistics
; Lead
; Mercury
; Multivariate regression
Scopus关键词: Lead
; Mercury (metal)
; Generalized linear model
; Geo-statistics
; Heavy metal accumulation
; Multivariate generalized linear models
; Multivariate regression
; Natural surface
; Spatio-temporal
; Cadmium
; cadmium
; lead
; mercury
; atmospheric deposition
; bioaccumulation
; biomonitoring
; geoaccumulation
; heavy metal
; moss
; soil pollution
; soil surface
; spatiotemporal analysis
; agricultural land
; Article
; atmospheric deposition
; bioaccumulation
; concentration (parameters)
; controlled study
; density
; environmental monitoring
; forestry
; geographic mapping
; geostatistical analysis
; kriging
; land use
; moss
; Norway
; population density
; precipitation
; predictor variable
; response variable
; soil pollution
; soil property
; spatiotemporal analysis
; statistical model
; surface soil
; Norway
; Bryophyta
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Objective. This study explores the statistical relations between the accumulation of heavy metals in moss and natural surface soil and potential influencing factors such as atmospheric deposition by use of multivariate regression-kriging and generalized linear models. Based on data collected in 1995, 2000, 2005 and 2010 throughout Norway the statistical correlation of a set of potential predictors (elevation, precipitation, density of different land uses, population density, physical properties of soil) with concentrations of cadmium (Cd), mercury and lead in moss and natural surface soil (response variables), respectively, were evaluated. Spatio-temporal trends were estimated by applying generalized linear models and geostatistics on spatial data covering Norway. The resulting maps were used to investigate to what extent the HM concentrations in moss and natural surface soil are correlated. Results. From a set of ten potential predictor variables the modelled atmospheric deposition showed the highest correlation with heavy metals concentrations in moss and natural surface soil. Density of various land uses in a 5km radius reveal significant correlations with lead and cadmium concentration in moss and mercury concentration in natural surface soil. Elevation also appeared as a relevant factor for accumulation of lead and mercury in moss and cadmium in natural surface soil respectively. Precipitation was found to be a significant factor for cadmium in moss and mercury in natural surface soil. The integrated use of multivariate generalized linear models and kriging interpolation enabled creating heavy metals maps at a high level of spatial resolution. The spatial patterns of cadmium and lead concentrations in moss and natural surface soil in 1995 and 2005 are similar. The heavy metals concentrations in moss and natural surface soil are correlated significantly with high coefficients for lead, medium for cadmium and moderate for mercury. From 1995 up to 2010 the modelled moss and natural surface soil estimates indicate a decrease of lead concentration in both moss and natural surface soil. In the case of the moss data the decrease of accumulation is more pronounced. By contrast, the modelled cadmium and mercury concentrations do not exhibit any significant temporal trend. Conclusions. In Europe, there is hardly any nation-wide investigation of statistical correlations between the accumulation of heavy metals in moss and natural surface soil and potential influencing factors such as atmospheric deposition. This study could show that assessments of heavy metal concentrations in natural surface soil could complement biomonitoring with moss but should not replace it since the heavy metal concentrations in mosses reliably traces the spatial pattern of respective atmospheric deposition. Generalized linear models extend established methods for estimating spatial patterns and temporal trends of HM concentration in moss and natural surface soil. © 2014 Published by Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80510
Appears in Collections: 气候变化事实与影响
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作者单位: University of Vechta, POB 15 53, Vechta, Germany; Department of Chemistry, Norwegian University of Science and Technology, Trondheim, Norway; NILU - Norwegian Institute for Air Research, POB 100, Kjeller, Norway
Recommended Citation:
Nickel S,, Hertel A,, Pesch R,et al. Modelling and mapping spatio-temporal trends of heavy metal accumulation in moss and natural surface soil monitored 1990-2010 throughout Norway by multivariate generalized linear models and geostatistics[J]. Atmospheric Environment,2014-01-01,99