Academic Journal
Regional spatial modeling of topsoil geochemistry
العنوان: | Regional spatial modeling of topsoil geochemistry |
---|---|
المؤلفون: | Calder, C.A., Craigmile, P.F., Zhang, J. |
سنة النشر: | 2009 |
المجموعة: | University of Glasgow: Enlighten - Publications |
الوصف: | Geographic information about the levels of toxics in environmental media is commonly used in regional environmental health studies when direct measurements of personal exposure is limited or unavailable. In this article, we propose a statistical framework for analyzing the spatial distribution of topsoil geochemical properties, including the concentrations of various toxicants. Due to the small-scale heterogeneity of most geochemical topsoil processes, direct measurements of the processes themselves only provide highly localized information; it is thus financially prohibitive to study the spatial patterns of these processes across a large region using traditional geostatistical analyses of point-referenced topsoil data. Instead, it is standard practice to assess geochemical patterns at a regional scale using point-referenced measurements collected in stream sediment because, unlike topsoil data, individual stream sediment geochemical measurements are representative of the surrounding area. We propose a novel multiscale soils (MSS) model that formally synthesizes data collected in topsoil and stream sediment and allows the richer stream sediment information to inform about the topsoil process, which in environmental health studies is typically more relevant. Our model accommodates the small-scale heterogeneity of topsoil geochemical processes by modeling spatial dependence at an aggregate resolution corresponding to hydrologically similar regions known as watersheds. We present an analysis of the levels of arsenic, a toxic heavy metal, in topsoil across the midwestern United States using the MSS model and show that this model has better predictive abilities than alternative approaches using more conventional statistical models for point-referenced spatial data. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | unknown |
Relation: | Calder, C.A., Craigmile, P.F. and Zhang, J. (2009) Regional spatial modeling of topsoil geochemistry. Biometrics , 65(1), pp. 206-215. (doi:10.1111/j.1541-0420.2008.01041.x ) |
الاتاحة: | http://eprints.gla.ac.uk/68920/ |
رقم الانضمام: | edsbas.FE77B762 |
قاعدة البيانات: | BASE |
ResultId |
1 |
---|---|
Header |
edsbas BASE edsbas.FE77B762 770 3 Academic Journal academicJournal 769.994262695313 |
PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsbas&AN=edsbas.FE77B762&custid=s6537998&authtype=sso |
FullText |
Array
(
[Availability] => 0
)
Array ( [0] => Array ( [Url] => http://eprints.gla.ac.uk/68920/# [Name] => EDS - BASE [Category] => fullText [Text] => View record in BASE [MouseOverText] => View record in BASE ) ) |
Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Regional spatial modeling of topsoil geochemistry
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Calder%2C+C%2EA%2E%22">Calder, C.A.</searchLink><br /><searchLink fieldCode="AR" term="%22Craigmile%2C+P%2EF%2E%22">Craigmile, P.F.</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang%2C+J%2E%22">Zhang, J.</searchLink> ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2009 ) Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => University of Glasgow: Enlighten - Publications ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => Geographic information about the levels of toxics in environmental media is commonly used in regional environmental health studies when direct measurements of personal exposure is limited or unavailable. In this article, we propose a statistical framework for analyzing the spatial distribution of topsoil geochemical properties, including the concentrations of various toxicants. Due to the small-scale heterogeneity of most geochemical topsoil processes, direct measurements of the processes themselves only provide highly localized information; it is thus financially prohibitive to study the spatial patterns of these processes across a large region using traditional geostatistical analyses of point-referenced topsoil data. Instead, it is standard practice to assess geochemical patterns at a regional scale using point-referenced measurements collected in stream sediment because, unlike topsoil data, individual stream sediment geochemical measurements are representative of the surrounding area. We propose a novel multiscale soils (MSS) model that formally synthesizes data collected in topsoil and stream sediment and allows the richer stream sediment information to inform about the topsoil process, which in environmental health studies is typically more relevant. Our model accommodates the small-scale heterogeneity of topsoil geochemical processes by modeling spatial dependence at an aggregate resolution corresponding to hydrologically similar regions known as watersheds. We present an analysis of the levels of arsenic, a toxic heavy metal, in topsoil across the midwestern United States using the MSS model and show that this model has better predictive abilities than alternative approaches using more conventional statistical models for point-referenced spatial data. ) Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article in journal/newspaper ) Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => unknown ) Array ( [Name] => NoteTitleSource [Label] => Relation [Group] => SrcInfo [Data] => Calder, C.A., Craigmile, P.F. and Zhang, J. (2009) Regional spatial modeling of topsoil geochemistry. Biometrics , 65(1), pp. 206-215. (doi:10.1111/j.1541-0420.2008.01041.x ) ) Array ( [Name] => URL [Label] => Availability [Group] => URL [Data] => http://eprints.gla.ac.uk/68920/ ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsbas.FE77B762 ) |
RecordInfo |
Array
(
[BibEntity] => Array
(
[Languages] => Array
(
[0] => Array
(
[Text] => unknown
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Regional spatial modeling of topsoil geochemistry
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Calder, C.A.
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Craigmile, P.F.
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Zhang, J.
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 01
[M] => 01
[Type] => published
[Y] => 2009
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-locals
[Value] => edsbas
)
)
)
)
)
)
)
|
IllustrationInfo |