Regional geochemistry-national reconnaissance project in China

Xie, Xiaoning; Huanzhen, Sun; Ren, Tianxiang

doi:10.1016/0375-6742(89)90014-9

Cited by 38 publications

(5 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The northern Daxinganling metallogenic belt has two major geographic landscapes, i.e., forest swamp area and semidesert area. The sampling media differed in the two landscapes [29]. The northern Daxinganling metallogenic belt has two major geographic landscapes, i.e., forest swamp area and semidesert area.…”

Section: Geochemical Datamentioning

confidence: 99%

“…The northern Daxinganling metallogenic belt has two major geographic landscapes, i.e., forest swamp area and semidesert area. The sampling media differed in the two landscapes [29]. The 1:200,000 geochemical survey was completed in the Manzhouli area, which covers a total of 13 geological sheets (e.g., Toudaolvdian (M-50-(24)), Manzhoulishi (M-50-(22)), etc.).…”

Section: Geochemical Datamentioning

confidence: 99%

“…Sampled material was passed through a 40-mesh sieve before being sent for analysis in the laboratory [31]. The contents of a total of 39 elements, of which seven were major elements, were analyzed, specifically Al, Ca, Fe, K, Mg, Na, Si, and the 32 trace elements (Ag, As, Au, B, Be, Ba, Bi, Cd, Co, Cr, Cu, F, Hg, La, Li, Mn, Mo, Nb, Ni, P, Pb, Sb, Sn, Sr, Th, Ti, U, V, W, Y, Zn, and Zr) [29]. Because 39 kinds of elements are painstakingly picked out, many elements are quite representative.…”

Section: Geochemical Datamentioning

confidence: 99%

See 2 more Smart Citations

The Geochemical Data Imaging and Application in Geoscience: Taking the Northern Daxinganling Metallogenic Belt as an Example

Chen¹,

Mao²,

Zhao³

et al. 2020

Applied Geochemistry With Case Studies on Geological Formations, Exploration Techniques and Environmental Issues

View full text Add to dashboard Cite

Geochemical data were predominantly expressed by vector format, the research on geochemical data visualization, i.e., raster data format, was not paid proper attention. A total of 39 geochemical elements in 1:200,000 regional geochemical exploration data were rasterized to form images, and then a geochemical image database was generated. This article has carried out the study on geochemical imaging within Daxinganling metallogenic belt. The metallogenic belt had once carried out the regional geochemical survey, the sampling density was 1 site/4 km 2 , and 39 geochemistry elements including the microelement and trace element have been analyzed. Quintic polynomial method was used to implement the geochemical data interpolation, and the cell size of formed geochemical elemental image is 1 km. The images of the geochemical elements were processed by image enhancement methods, and then hyperspectral remote sensing data processing method was used for prospecting target selection, lithology mapping, and so on. The interpreted results have been verified in practice. All the abovementioned suggested a good development prospect for the rasterized geochemical images. Finally the author puts forward using rasterize geochemical images in combination with other geological, geophysical, and remote sensing data to make better use of the geochemical data and be more extensively applied in the geoscience.

show abstract

Section: Geochemical Datamentioning

confidence: 99%

“…The northern Daxinganling metallogenic belt has two major geographic landscapes, i.e., forest swamp area and semidesert area. The sampling media differed in the two landscapes [29]. The 1:200,000 geochemical survey was completed in the Manzhouli area, which covers a total of 13 geological sheets (e.g., Toudaolvdian (M-50-(24)), Manzhoulishi (M-50-(22)), etc.).…”

Section: Geochemical Datamentioning

confidence: 99%

Section: Geochemical Datamentioning

confidence: 99%

See 1 more Smart Citation

The Geochemical Data Imaging and Application in Geoscience: Taking the Northern Daxinganling Metallogenic Belt as an Example

Chen¹,

Mao²,

Zhao³

et al. 2020

Applied Geochemistry With Case Studies on Geological Formations, Exploration Techniques and Environmental Issues

View full text Add to dashboard Cite

show abstract

“…The Regional Geochemistry-National Reconnaissance (RGNR) program was conducted in China the late 1970s (Xie et al, 1989(Xie et al, , 1997. Stream sediment samples used as the main sampling medium were collected from the effluence of first-order streams or the mouths of large tributaries.…”

Section: Datasetmentioning

confidence: 99%

Multivariate analysis for geochemical process identification using stream sediment geochemical data: A perspective from compositional data

et al. 2016

View full text Add to dashboard Cite

parent rocks including ore deposits and host rocks, and those of anthropogenic origin, such as urban development and industrial activities. In some cases, anthropogenic influences can overprint geogenic processes, which may lead to more complex geochemical processes.Stream sediments representing the source catchment area of a stream drainage network are composite products of mineral and rock weathering and contain elements of various sources. For example, lithogenic elements are directly inherited from the lithosphere, pedogenic elements are of weathering origin, and anthropogenic elements are deposited into the stream sediments as direct or indirect results of human activities. Therefore, stream sediment geochemical data are important in the study of geochemical processes (e.g.

show abstract

“…China's National Geochemical Mapping Project (Regional Geochemical-National Reconnaissance, RGNR project) initiated in 1979, has now covered more than six million square kilometers of China's territory. Substantial geochemical data containing prospecting information have been obtained, with great contributions to China's mineral exploration and geological work [16,17].…”

Section: Introductionmentioning

confidence: 99%

Geochemical Quantitative Assessment of Mineral Resource Potential in the Da Hinggan Mountains in Inner Mongolia, China

et al. 2022

View full text Add to dashboard Cite

Studying surface geochemical anomalies is important for detecting the presence of mineral deposits. However, distinguishing inconspicuous geochemical anomalies is a challenge for geochemists. This paper studies geochemical quantitative prediction for Pb–Zn metallic mineral deposits by identifying inconspicuous surface geochemical anomalies mainly associated with the Permian and Jurassic strata in the middle-southern Da Hinggan Mountains metallogenic belt. Some new methods are employed to highlight weak surface geochemical anomalies. The weak surface geochemical anomalies of Pb and Zn are effectively highlighted by the average contrast values of Pb–Zn–Ag–Cd. The similarity coefficient with the large typical discovered deposits is used to identify new Pb–Zn mineralized anomalies and delineate new prospecting target areas. The denudation degree of mineral deposit is determined by the ratio of (W × Sn)/(As × Sb). The analogy method and areal productivity method are employed for resource prediction. Thirty-six prediction areas with Pb–Zn resources of 307.73 million tons are delineated. Five prediction areas are verified, and some new mineral deposits are proven by drilling. The verification results show that the predicted resources are very reasonable and credible. This paper is a successful case of quantitative prediction assessment of mineral resource potential, which can be used as a reference for future prospecting activities.

show abstract

Regional geochemistry-national reconnaissance project in China

Cited by 38 publications

References 3 publications

The Geochemical Data Imaging and Application in Geoscience: Taking the Northern Daxinganling Metallogenic Belt as an Example

The Geochemical Data Imaging and Application in Geoscience: Taking the Northern Daxinganling Metallogenic Belt as an Example

Multivariate analysis for geochemical process identification using stream sediment geochemical data: A perspective from compositional data

Geochemical Quantitative Assessment of Mineral Resource Potential in the Da Hinggan Mountains in Inner Mongolia, China

Contact Info

Product

Resources

About