Definition of Multivariate Geochemical Associations With Polymetallic Mineral Occurrences Using a Spatially Dependent Clustering Technique and Rasterized Stream Sediment Data — An Alaskan Example

Jenson, Susan K.; Trautwein, C.M.

doi:10.1016/0375-6742(86)90030-0

Cited by 3 publications

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“…Bonham-Carter, Roger, & Ellwood, 1987;Rose et al, 1970), as well as to the quantitative modeling of geochemical variability, dilution effects, and sediment provenance (e.g. Bonham-Carter & Goodfellow, 1984;Carranza, 2010;Carranza & Hale, 1997;De Vos et al, 2006;Halamić, Peh, Bukovec, Miko, & Galović, 2001;Hawkes 1976;Jenson & Trautwein, 1986;Moon, 1999;Peh et al, 2006;Peh, Mileusnić, & Miko, 2011).…”

Section: Introductionmentioning

confidence: 99%

Geochemical atlas of the Medvednica Mt.: natural distribution of geochemical elements in stream sediments

et al. 2012

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The sample catchment basin approach applying the active stream sediment as a sampling medium is a frequently used cartographic technique for mapping geochemical data. It is particularly useful in mountainous areas with developed drainage network where each individual catchment basin can be assumed to represent an elementary map unit. Stream sediments have been widely used during the last two decades as an alternative sampling medium (vs. soils and overbank sediments) for regional geochemical exploration, mineral exploration, and geochemical mapping as well as for fingerprinting purposes and provenance studies. In this study, uninhabited slopes of the Medvednica Mt. in the close vicinity of the Croatian capital Zagreb, including the whole Medvednica Nature Park, have been selected as an appropriate geochemical environment for evaluation of geochemical baselines at the local and regional scale. The single-element geochemical maps representing the spatial distribution of 21 elements (As,

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Section: Introductionmentioning

confidence: 99%

Geochemical atlas of the Medvednica Mt.: natural distribution of geochemical elements in stream sediments

et al. 2012

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“…Boham-Carter and Goodfellow (1987) escaped from this using the catchment basin as the influential zone for each sample point. This approach has advantages that characteristics of the basin like area, altitude, slope and roughness may be quantified and then used to model geochemical variation (Jenson and Trautwein, 1984). In addition, the manipulation methods of geochemical data need to be properly designed and the compiled drainagebased geochemical maps may be useful for interpretation of geochemical or environmental phenomena.…”

Section: Introductionmentioning

confidence: 99%

A Study on Distribution Pattern of Trace Elements in Chungnam Coal Mine Area Using Factor Analysis and GIS

Hwang

Kim

1998

Geosystem Engineering

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ABSTRACf: In order to examine the contamination levels of trace elements in stream sediments in the Chungnam Coal Mines area, stream sediment and water samples were collected and analyzed by ICP-AES. The pH of stream water was neutral or weak-alkaline because of low concentrations of sulfur from bedrock geochemistry, and the mobility of metal in stream sediments was considered to be low. To compile the drainage-based geochemical maps, catchment basins were calculated with aspects from DEM(Data Elevation Model) and stream-line segments. The constructed DEMs with 3 kinds of resolution were examined, and should be properly used for well-shaped and accurate catchment basins. The stream-line segments and sampling points were also considered as a target image for watershed segments and it was found that streamline segments as target images played a better role to reflect its catchment area than sampling points. It is important that geochemical database were manipulated to present the various phenomena. The factor analysis in R-mode was used to integrate geochemical data, and the input data for factor analysis were the concentrations of 12 trace elements in stream sediment and 3 anion concentrations and pH in stream water. Using maximum likelihood scheme, eingenvalues that explained about 90% of total variance were established and 4 factors were selected. The factors 1 and 2 indicated relative enrichment of trace elements, factor 3 were explained as human activities of residents and factor 4 were related with pH of stream water. The drainage-based geochemical maps with 4 kinds of factor scores were compiled.

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Impact of Geomorphological Variables in Weighing the Lithological Influence on Geochemical Composition of Stream and Overbank Sediments: A Regression Model for the Žumberak Area (NW Croatia)

Peh

Miko

2003

Geol Cro

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The two multiple regression models were compared on the assumptionthat the geochemical composition of the alluvial material is basically originally derived from the bedrock lithology of a drainage basin of the Žumberak Area (NW Croatia). The latter was integrated with both stream sediment and overbank sediment geochemical data via the two essentially different approaches as regards the catchment basin geomorphological data: (1) as the relative area of influence representing a portion of the catchment basin occupied by a certain rock type; (2) as the relative “line” of influence representing a narrow tract of a certain rock type traversed by the majority of perennial streams which form the active stream network. The model comparisonwas accomplished on the basis of the goodness-of-fit test for both experimental designs and for the same set of data. The most important result of these experiments highlights the linear approach as the more appropriate model for ascertaining the lithological influence on the analyzed sample media. This can be explained by the stronger erosiveand transportational power of the water which flows in the well defined channel network in contrast to the unconcentrated surface runoff in the interfluvial area, coupled with the buffering effects of rich slope and riparian vegetation, which is characteristic of the Žumberak heartland.

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Definition of Multivariate Geochemical Associations With Polymetallic Mineral Occurrences Using a Spatially Dependent Clustering Technique and Rasterized Stream Sediment Data — An Alaskan Example

Cited by 3 publications

References 0 publications

Geochemical atlas of the Medvednica Mt.: natural distribution of geochemical elements in stream sediments

Geochemical atlas of the Medvednica Mt.: natural distribution of geochemical elements in stream sediments

A Study on Distribution Pattern of Trace Elements in Chungnam Coal Mine Area Using Factor Analysis and GIS

Impact of Geomorphological Variables in Weighing the Lithological Influence on Geochemical Composition of Stream and Overbank Sediments: A Regression Model for the Žumberak Area (NW Croatia)

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