Determination of Geochemical Background and Baseline and Research on Geochemical Zoning in the Desert and Sandy Areas of China
Source abstract
Abstract
Resources in deserts and sandy landscapes have potential for development, but existing surveys and sampling have not collected desert soil samples. As such, the geochemical background of these spaces remains unexplored due to the vastness and desolation of deserts. Therefore, researching the geochemical background values and geochemical baseline values of deserts is of long-term significance. Our research indicates that in addition to macrostructural environmental divisions, microelement geochemistry can also be used for geological unit zoning. In this paper, geochemical background and geochemical baseline values of 61 desert elements were calculated using the iterative method, frequency histograms method, and multifractal concentration-area method. It also analyzes the distribution characteristics of major, trace, and rare earth elements, and divides the 12 desert sand regions into different geochemical zones. This paper determines, for the first time, the geochemical background values of elements in Chinese deserts, filling the gap in the study of desert background values. By combining machine learning methods, different deserts have been divided into three geochemical zones. This research will greatly enhance our ability to interpret the geochemical distribution and evolutionary patterns of desert elements in China, and it has important scientific significance and practical value for desert research.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geochemistry and Geologic Mapping · Hydrocarbon exploration and reservoir analysis · Geochemistry and Elemental Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Geological Processes and Mineral Resources (GPMR), Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China
Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang 065000, China
Funding
National Nonprofit Institute Research Grant of IGGE
References (63)
Show source-provided references
1. Analysis of the Applies of Soil Environmental Background Value at Home and Abroad and Suggestions on Countermeasures
2. Geochemistry in mineral exploration10.1097/00010694-196304000-00016 ↗
3. Geochemical background-an environmental perspective10.2478/v10002-011-0002-y ↗
4. The study of geochemical background and baseline for 54 chemical indicators in Chinese soil
5. Geochemical background and baseline value of chemical elements in urban soil in China
6. Big data-based studies of the variation features of Chinese soil’s background value versus reference value: A paper written on the occasion of the publication of soil geochemical parameters of China
7. Darnley, A.G., Bjorklund, A., Bolviken, B., Gustavsson, N., Koval, P.V., Plant, J.A., Steenfelt, A., Tauchid, M., and Xie, X. (1995). A Global Geochemical Database for Environmental and Resource Management, UNESCO.
8. Considerations regarding the definition of a geochemical baseline of elements in the surficial materials in areas differing in basic geology10.1016/S0883-2927(99)00077-3 ↗
9. Jiang, H.H., Cai, L.M., Wen, H.H., and Luo, J. (2020). Characterizing pollution and source identification of heavy metals in soils using geochemical baseline and PMF approach. Sci. Rep., 10.10.1038/s41598-020-63604-5 ↗
10. Characteristics and genesis of soil geochemical baselines in Western Yunnan Province
11. The environmental geochemical baseline, background and sources of metal and metalloids present in urban, peri-urban and rural soils in the O’Higgins region, Chile10.1007/s10653-021-01098-4 ↗
12. Geochemical background and baseline value of soil chemical elements in Hebei Province
13. Geochemical background and geochemical baseline
14. Geochemical background—Concept and reality10.1016/j.scitotenv.2005.01.047 ↗
15. Comparison of methods determining anomaly thresholds determined by means of mathematical statistics
16. Aeolian system responses to global change: Challenges of scale, process and temporal integration10.1002/esp.1719 ↗
17. Analysis of spatial–temporal evolution trends and influential factors of desert-oasis thermal environment in typical arid zone: The case of Turpan–Hami region10.1016/j.ecolind.2023.110747 ↗
18. Mineralization processes at the Daliangzi Zn-Pb deposit, Sichuan-Yunnan-Guizhou metallogenic province, SW China: Insights from sphalerite geochemistry and zoning textures10.1016/j.oregeorev.2023.105654 ↗
19. Characterization of geochemical and isotopic profiles in the Southern Zone Geothermal Systems of Mount Seulawah Agam, Aceh Province, Indonesia10.60084/ljes.v2i1.172 ↗
20. Soil geochemical division based on land quality geochemical survey
21. Division of the geochemical landscapes in Morocco
22. Geochemical characteristics and zoning of soil in Pingxiang-Xinyu region, Jiangxi Province
23. The continuing decrease of sandy desert and sandy land in northern China in the latest 10 years10.1016/j.ecolind.2023.110699 ↗
24. (2015). Specifications for Geochemical Reconnaissance Survey (1:50,000) (DZ/T0011-2015). MLR (Ministry of Land and Resources of the People’s Republic of China) (Standard No. DZ/T0011-2015). (In Chinese).
25. (2015). Code of Practice for Soil Geochemical Survey (DZ/T0145-2017). MLR (Ministry of Land and Resources of the People’s Republic of China) (Standard No. DZ/T0145-2017). (In Chinese).
26. China Geological Survey (2006). Specifications for Regional Geochemistry Exploration (DZ/T0167-2006) (Standard No. DZ/T0167-2006). (In Chinese).
27. Wang, D., Wei, Z., and Qi, Z. (2012, January 20). The methods for estimation of soil elements background: A review. Proceedings of the 12th National Congress of the Soil Society of China and the 9th Cross-Strait Academic Exchange Seminar on Soil and Fertilizer, Chengdu, China.
28. The soil background values of heavy metals and ecological risk assessment based on the geo-statistical analysis
29. Normal and lognormal data distribution in geochemistry: Death of a myth. Consequences for the statistical treatment of geochemical and environmental data10.1007/s002549900081 ↗
30. A fundamental approach to threshold estimation in exploration geochemistry: Probability plots revisited10.1016/0375-6742(91)90071-2 ↗
31. GEMAS: Establishing geochemical background and threshold for 53 chemical elements in European agricultural soil10.1016/j.apgeochem.2017.01.021 ↗
32. Discovery of Wolitu Pb-Zn deposit through geochemical prospecting under loess cover in Inner Mongolia, China10.1016/j.gsf.2016.08.007 ↗
33. Statistical analysis on the distribution characteristics of topographical parameters in loess area
34. Application of ground gamma spectrometry in the exploration of uranium in Western Lujing Ore Field
35. The separation of geochemical anomalies from background by fractal methods10.1016/0375-6742(94)90013-2 ↗
36. Separation of geochemical anomalies by concentration-area and concentration-number methods in the Saqez 1:100,000 sheet, Kurdistan
37. Application of concentration-area fractal method in static modeling of hydrocarbon reservoirs10.1007/s13202-018-0554-0 ↗
38. A processing technique of step effect on area multifractal method
39. Multifractal study of geochemical (anomaly) fields in the A’ercituoshan area, Qinghai
40. Geochemical baselines in the Phanerozoic LIPs constrained from well-cores in the Deccan Volcanic Province, India10.1016/j.lithos.2023.107403 ↗
41. Rare earth elements (REEs): Geochemical patterns and contamination aspects in Brazilian baseline soils10.1016/j.envpol.2021.117972 ↗
42. Study on soil geochemical reference value in Shaoguan area of Guangdong Province
43. Feature analyses and modeling of lithium-ion battery manufacturing based on random forest classification10.1109/TMECH.2020.3049046 ↗
44. Montgomery, D.C., Peck, E.A., and Vining, G.G. (2021). Introduction to Linear Regression Analysis, John Wiley & Sons.
45. The key techniques and future vision of feature selection in machine learning
46. Research advances and prospective in mineral intelligent identification based on machine learning
47. Geochemical characterization of major elements in desert sediments and implications for the Chinese loess source10.1007/s11430-018-9354-y ↗
48. Supporting deep neural network safety analysis and retraining through heatmap-based unsupervised learning10.1109/TR.2021.3074750 ↗
49. Analysis of temporal and spatial evolution and influencing factors of soil erosion in Ordos City
50. Composition of the continental crust
51. Insight into leaching of rare earth and aluminum from ion adsorption type rare earth ore: Adsorption and desorption10.1016/j.jre.2022.08.009 ↗
52. Rare earth elements (REEs) behavior in a large river across a geological and anthropogenic gradient10.1016/j.gca.2023.05.019 ↗
53. Characteristics of volcanic rocks from Late Permian to Early Triassic in Ailaoshan tectono-magmatic belt and implications for tectonic settings
54. Studies on geology and geochemistry of alteration-type ore in Hatu gold deposit (western Junggar), Xinjiang, NW China
55. Geochemical subdivisions in metallogenic belt with the 1:200,000 stream sediments and its geological significance: A case study in Gangdese Copper-Polymetallic Metallogenic Belt
56. Machine learning in petrophysics: Advantages and limitations
57. A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities10.1016/j.isprsjprs.2023.05.032 ↗
58. Research status of magnetotelluric time domain data processing based on machine learning
59. Reservoir prediction method based on machine learning
60. Dolomite as a tracer for the source regions of Asian dust
61. Geochemical characteristics of soil elements in the Jingbian area of Loess Plateau-Mu Us Desert transitional zone, China during Holocene and their environmental implications
62. A study on elemental geochemical characters of the Wuwei loess section in the south vicinity of Tengger Desert
63. Characteristics of element and Sr-Nd isotope composition of the Songnen sandy land and their indications of regional dust material sources