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1

Morgan, John W. "Applied geochemical analysis." Geochimica et Cosmochimica Acta 51, no. 12 (1987): 3279. http://dx.doi.org/10.1016/0016-7037(87)90135-9.

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2

Fletcher, K. "Applied Geochemical Analysis." Journal of Geochemical Exploration 31, no. 1 (1988): 89–90. http://dx.doi.org/10.1016/0375-6742(88)90041-6.

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3

Kane, Jean S., and Philip J. Potts. "Traceability in Geochemical Analysis." Geostandards and Geoanalytical Research 26, no. 2 (2002): 171–80. http://dx.doi.org/10.1111/j.1751-908x.2002.tb00885.x.

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4

Korobova, E. M., V. S. Baranchukov, and L. I. Kolmykova. "Theoretical and Methodological Approaches to the Analysis of the Spatial Distribution of Endemic Diseases of Geochemical Nature." Geochemistry International 61, no. 10 (2023): 1074–86. http://dx.doi.org/10.1134/s0016702923100063.

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Abstract— Throughout millions of years of geological history (in the Phanerozoic), the coevolution of all living organisms took place in a fierce competition for resources and opportunities for the maximum reproduction. Due to the geochemical heterogeneity of the primary (pre-Quaternary) biosphere, this resulted in a self-regulating system of ecological niches, within which all local biocenoses and their animal and plant species were maximally adapted to the parameters of the habitat. However, with the emergence of reason, the situation changed fundamentally. Human beings became the dominant s
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El-Desoky, Hatem M., Andongma W. Tende, Ahmed M. Abdel-Rahman, et al. "Hydrothermal Alteration Mapping Using Landsat 8 and ASTER Data and Geochemical Characteristics of Precambrian Rocks in the Egyptian Shield: A Case Study from Abu Ghalaga, Southeastern Desert, Egypt." Remote Sensing 14, no. 14 (2022): 3456. http://dx.doi.org/10.3390/rs14143456.

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This study evaluates the geological attributes of rocks within the Abu Ghalaga area using spatial, geochemical, and petrographic approaches. ASTER and Landsat imagery processed using band ratio and principal component analysis were used to map hydrothermal alterations, while a regional tectonic evaluation was based on automated extraction of lineaments from a digital elevation model. Geochemical and petrographic analyses were then employed for discrete scale evaluation of alteration patterns of rocks across the study location. Based on satellite image processing, alteration patterns across the
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6

Ingham, Mark N., and Bruno A. R. Vrebos. "High Productivity Geochemical XRF Analysis." Advances in X-ray Analysis 37 (1993): 717–24. http://dx.doi.org/10.1154/s0376030800016281.

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XRF has become over the years a method of choice when dealing with elemental analysis of large quantities of samples. Geochemical analysis pushes the technique to its limits because of the large number of samples to be analysed as well as the lower limits of detection required for many trace elements of geochemical and economic importance. The Analytical Geochemistry Group at the British Geological Survey (BGS) has access to a wide variety of methods for instrumental analysis. Instrumental methods for inorganic analysis include x-ray fluorescence as well as DC arc emission spectrometry, atomic
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7

Kitaev, N. A. "Multidimensional analysis of geochemical fields." Mathematical Geology 23, no. 1 (1991): 15–32. http://dx.doi.org/10.1007/bf02065962.

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8

Mann, Eva, Donald F. McNeill, Robert S. Carr, Ryan Franklin, and William J. Pestle. "Geochemical analysis of Tequesta calcretes." Journal of Archaeological Science: Reports 27 (October 2019): 101988. http://dx.doi.org/10.1016/j.jasrep.2019.101988.

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9

Ingamells, C. O., Francis F. Pitard, P. J. Elving, J. D. Winefordner, I. M. Kolthoff, and A. M. Ure. "Applied geochemical analysis, (Chemical analysis, vol. 88.)." Analytica Chimica Acta 202 (1987): 258–59. http://dx.doi.org/10.1016/s0003-2670(00)85926-7.

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10

Muhammed, Dahiru D., Naboth Simon, James E. P. Utley, et al. "Geochemistry of Sub-Depositional Environments in Estuarine Sediments: Development of an Approach to Predict Palaeo-Environments from Holocene Cores." Geosciences 12, no. 1 (2022): 23. http://dx.doi.org/10.3390/geosciences12010023.

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In the quest to use modern analogues to understand clay mineral distribution patterns to better predict clay mineral occurrence in ancient and deeply buried sandstones, it has been necessary to define palaeo sub-environments from cores through modern sediment successions. Holocene cores from Ravenglass in the NW of England, United Kingdom, contained metre-thick successions of massive sand that could not be unequivocally interpreted in terms of palaeo sub-environments using conventional descriptive logging facies analysis. We have therefore explored the use of geochemical data from portable X-r
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11

Korobova, E. M., V. S. Baranchukov, and L. I. Kolmykova. "Theoretical and Methodological Approaches to the Analysis of Peculiarities of Spatial Distribution of Endemic Diseases of a Geochemical Nature." Геохимия 68, no. 10 (2023): 1073–86. http://dx.doi.org/10.31857/s0016752523100060.

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Over millions of years of geological history (Phanerozoic), the co-evolution of all living organisms took place in condtions of fierce competition for resources and opportunities for maximum reproduction, which, given the geochemical heterogeneity of the primary (pre-Quaternary) biosphere, resulted in a self-regulating ecological niche system, within which all local biocenoses and their animal and plant species were adapted to the parameters of the habitat to the maximum extent. However, with the development of the brain and the emergence of reason, the situation changed radically. Humans beca
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12

Pourmorad, S., S. Abbasi, and A. Mohanty. "Geochemical analysis of sediment deposits in Southwest Iran: origin and environmental impact." SOCAR Proceedings, no. 4 (December 30, 2023): 13–30. http://dx.doi.org/10.5510/ogp20230400912.

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The integration of geochemical and sedimentological data in the Khuzestan Plain, southwestern Iran, reveals insights into its origin, pollution, and sedimentary characteristics. Facing environmental threats from external particulate matter, this study employs innovative geochemical methods to explore sediment origin, pollution, paleoclimate, and paleotectonics. Findings serve as a model for global investigations, demonstrating the utility of geochemical, petrographic, and electron microscopic data in geological applications. Field observations, granulometry, petrography, and geochemical analys
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Li, Cheng, Bingli Liu, Ke Guo, Binbin Li, and Yunhui Kong. "Regional Geochemical Anomaly Identification Based on Multiple-Point Geostatistical Simulation and Local Singularity Analysis—A Case Study in Mila Mountain Region, Southern Tibet." Minerals 11, no. 10 (2021): 1037. http://dx.doi.org/10.3390/min11101037.

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The smoothing effect of data interpolation could cause useful information loss in geochemical mapping, and the uncertainty assessment of geochemical anomaly could help to extract reasonable anomalies. In this paper, multiple-point geostatistical simulation and local singularity analysis (LSA) are proposed to identify regional geochemical anomalies and potential mineral resources areas. Taking Cu geochemical data in the Mila Mountain Region, southern Tibet, as an example, several conclusions were obtained: (1) geochemical mapping based on the direct sampling (DS) algorithm of multiple-point geo
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14

Paz-Ferreiro, Jorge, Eva Vidal Vázquez, and Sidney Rosa Vieira. "Geostatistical analysis of a geochemical dataset." Bragantia 69, suppl (2010): 121–29. http://dx.doi.org/10.1590/s0006-87052010000500013.

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The application of geostatistics to data obtained from geochemical prospecting process can provide useful information for evaluating mineralization potential. The objective of this study was to evaluate the spatial distribution of Au, As and Sb contents over a large area of the Coruña province, Spain. A geochemical survey was carried out from which a data set with 323 samples was collected. Macroelements and trace elements were determined by routine analytical techniques. The spatial variability was assessed using semivariogram and cross-semivariogram as well as indicator semivariogram analysi
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15

Naeem, Athar. "Geochemical Analysis of Riyadh Ground Water." International Journal of Environmental Analytical Chemistry 28, no. 3 (1987): 161–70. http://dx.doi.org/10.1080/03067318708081858.

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16

Zhou, Di. "Robust statistics and geochemical data analysis." Mathematical Geology 19, no. 3 (1987): 207–18. http://dx.doi.org/10.1007/bf00897747.

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17

Bochang, Yu, and Xie Xuejing. "Fuzzy cluster analysis in geochemical exploration." Journal of Geochemical Exploration 23, no. 3 (1985): 281–91. http://dx.doi.org/10.1016/0375-6742(85)90031-7.

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18

Zuo, Renguang, and Bojun Yin. "Google Earth-aided visualization and interpretation of geochemical survey data." Geochemistry: Exploration, Environment, Analysis 22, no. 2 (2022): geochem2021–079. http://dx.doi.org/10.1144/geochem2021-079.

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Geochemical prospecting is an important and effective approach for discovering mineral deposits. Collection, management, visualization, interpretation, modelling and publishing of geochemical survey data remain challenging. The main aim of this study is to illustrate the application of Google Earth in the visualization and interpretation of geochemical survey data using a dataset collected from the Daqiao district, Gansu Province, China. Google Earth, a free web-based program that provides a rich set of global images along with satellite and map data, can be applied to design geochemical sampl
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19

Idroes, Ghazi Mauer, Suhendrayatna Suhendrayatna, Khairan Khairan, Eko Suhartono, Rasi Prasetio, and Medyan Riza. "Ensuring Accuracy: Critical Validation Techniques in Geochemical Analysis for Sustainable Geothermal Energy Development." Leuser Journal of Environmental Studies 2, no. 1 (2024): 19–29. http://dx.doi.org/10.60084/ljes.v2i1.176.

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Geochemical analysis is a critical tool in geothermal exploration, providing valuable insights into reservoir characteristics. However, obtaining accurate and reliable geochemical data requires rigorous validation techniques. This review examines key factors affecting the accuracy of geochemical data and discusses best practices for ensuring quality. Proper sampling methods, including selection of representative locations, use of appropriate equipment, and adherence to robust protocols for sample collection, filtration, preservation, and storage, are essential for maintaining integrity. Analyt
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20

Nuñez, Pablo, Alvaro Rubio, Daniel Arias, et al. "Geochemical Characterization of and Exploration Guide for the World-Class Mafic–Siliciclastic-Hosted Touro VMS Cu Deposit, Northwestern Iberian Peninsula." Minerals 14, no. 11 (2024): 1159. http://dx.doi.org/10.3390/min14111159.

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A geochemical study was conducted on the Touro deposit, which is situated within the Iberian Variscan Massif on the allochthonous terrain of the Galicia–Tras-os-Montes Zone. This study encompassed both mineralogical and geochemical analyses of the host rocks, with a particular focus on the high-grade Fornás metamorphic unit of the Órdenes Complex. The deposit is composed of massive and semi-massive sulfides, the host rocks are amphibolites and paragneisses, and the ore is hosted in garnet amphibolites and mineralized paragneisses. A microscopic study of thin sections and over 300 electron prob
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., Oktoberiman, Dimas Aji Ramadhan P, Fajar Rizki W, and Rizal Tawakal A. "Identification of Geothermal Potential Based on Fault Fracture Density (FFD), Geological Mapping and Geochemical Analysis, Case Study : Bantarkawung, Brebes, Central Java." KnE Energy 2, no. 2 (2015): 141. http://dx.doi.org/10.18502/ken.v2i2.369.

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<p>Insufficient of conventional energy production today in Indonesia, encouraging all elements to discover an alternative energy. Geothermal is one of big potential alternative energy in Indonesia regarding the conditon of geological setting in Indonesia which has 129 active volcanoes. Bantarkawung is located in the western of Mount Slamet where hot spring occured as geothermal manifestation. This indicate geothermal potential in that area. This research is aimed to identify geothermal potential that lies in bantarkawung using Fault Fracture Density (FFD), Geological Mapping and Geochemi
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22

Su, Qiao, Hongjun Yu, Xingyong Xu, et al. "Using Principal Component Analysis (PCA) Combined with Multivariate Change-Point Analysis to Identify Brine Layers Based on the Geochemistry of the Core Sediment." Water 15, no. 10 (2023): 1926. http://dx.doi.org/10.3390/w15101926.

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The underground brine in Southern Laizhou Bay is characterized by its large scale and high concentration, which can affect the distribution and migration of geochemical elements in sediments. Most studies on the brine are based on hydrochemical analysis, with little consideration being given from a geochemical perspective. Principal component analysis (PCA) is a powerful tool for discovering relationships among many elements and grouping samples in large geochemical datasets. However, even after reducing the dimensions through PCA, researchers still need to make judgments about the meaning rep
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23

Alvarez, A. C., J. Bruining, and D. Marchesin. "Nonlinear wave interactions in geochemical modeling." Journal of Differential Equations 359 (June 2023): 1–22. http://dx.doi.org/10.1016/j.jde.2022.12.034.

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24

Xu, Shan, Miao Wang, Chang Chun Liu, and Shou Yi Li. "Evaluation of Gold Geochemical Anomalies in the Liaodong Paleorift." Applied Mechanics and Materials 484-485 (January 2014): 620–27. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.620.

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89 Au geochemical anomalies are delineated by using 1/200000 regional geochemical exploration data. By researching regional geochemical characteristics and the relationship with the geological background, the author points out that: the main factors causing high background of Au geochemical anomalies are Gaixian and Dashiqiao formation of Liaohe group, intrusions of Mesozoic intermediate-acid intrusive rocks. The elements combination types of typical anomalies are determined by using factorial analysis,cluster analysis and other mathematical methods with the combination of elements association
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25

Shirazi, Aref, Ardeshir Hezarkhani, Adel Shirazy, and Amin Beiranvand Pour. "Geochemical Modeling of Copper Mineralization Using Geostatistical and Machine Learning Algorithms in the Sahlabad Area, Iran." Minerals 13, no. 9 (2023): 1133. http://dx.doi.org/10.3390/min13091133.

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Analyzing geochemical data from stream sediment samples is one of the most proactive tools in the geochemical modeling of ore mineralization and mineral exploration. The main purpose of this study is to develop a geochemical model for prospecting copper mineralization anomalies in the Sahlabad area, South Khorasan province, East Iran. In this investigation, 709 stream sediment samples were analyzed using inductively coupled plasma mass spectrometry (ICP-MS), and geostatistical and machine learning techniques. Subsequently, hierarchical analysis (HA), Spearman’s rank correlation coefficient, co
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26

Harmon, Russell, Christopher Lawley, Jordan Watts, Cassady Harraden, Andrew Somers, and Richard Hark. "Laser-Induced Breakdown Spectroscopy—An Emerging Analytical Tool for Mineral Exploration." Minerals 9, no. 12 (2019): 718. http://dx.doi.org/10.3390/min9120718.

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The mineral exploration industry requires new methods and tools to address the challenges of declining mineral reserves and increasing discovery costs. Laser-induced breakdown spectroscopy (LIBS) represents an emerging geochemical tool for mineral exploration that can provide rapid, in situ, compositional analysis and high-resolution imaging in both laboratory and field and settings. We demonstrate through a review of previously published research and our new results how LIBS can be applied to qualitative element detection for geochemical fingerprinting, sample classification, and discriminati
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Erlandson, Jon M., J. D. Robertson, and Christophe Descantes. "Geochemical Analysis of Eight Red Ochres from Western North America." American Antiquity 64, no. 3 (1999): 517–26. http://dx.doi.org/10.2307/2694149.

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In this paper, we report on our examination of the suitability of geochemical provenance studies on red ochre sources from western North America. We report geochemical data derived from PIXE (particle-induced X-ray emission) analysis of eight red ochre sources from California, Oregon, Wyoming, and Alaska. Our preliminary analysis of these red ochres, including multiple samples from one large deposit, suggests that the tested samples vary significantly between sources. It appears likely that the geochemical analysis of red ochres, widely used and traded among Native Americans and other ancient
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28

Minnitt, R. C. A., and K. H. Esbensen. "Geochemical evolution of magmatic rocks in the Vioolsdrif Domain, Namibia." South African Journal of Geology 126, no. 1 (2023): 49–74. http://dx.doi.org/10.25131/sajg.126.0001.

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Abstract Geological, lithological, petrographical, geochemical, and geochronological data in the Palaeoproterozoic Richtersveld Subprovince/Magmatic Arc (RMA) of Precambrian basement rocks of the Vioolsdrif Domain in southern Namibia, strongly support linkages in the history of formation between the volcanic rock types of the Orange River Group (ORG) and the plutonic rocks of the Vioolsdrif Suite (VS). Previous age dating indicates volcanics of the ORG are more-or-less synchronous with granitic phases of the VS. Geochemical, mineralogical, and comprehensive field and petrological characteristi
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Krausová, Ivana, Jiří Mizera, Zdeněk Řanda, David Chvátil, and Pavel Krist. "Instrumental Photon Activation Analysis with Short-Time Irradiation for Geochemical Research." Minerals 11, no. 6 (2021): 617. http://dx.doi.org/10.3390/min11060617.

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This paper introduces instrumental photon activation analysis (IPAA) utilizing short-lived products of photonuclear reactions, mainly (γ, n) and (γ, p), initiated by bremsstrahlung from the MT-25 microtron. A rapid nondestructive IPAA method for geochemical major element analysis is introduced as a tool for the basic geochemical characterization of rocks. Procedures were developed and parameters such as beam energy and irradiation-decay-counting times optimized with a representative set of geochemical reference materials, and an optimized scheme was applied in analysis of various geological sa
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30

Tanasiuk, M. V. "Ecological-Geochemical Analysis and Evaluation of Rural Geosystems Mountain Areas of Northern Bukovina (Ukraine)." Present Environment and Sustainable Development 9, no. 1 (2015): 129–37. http://dx.doi.org/10.1515/pesd-2015-0008.

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Abstract The study of general ecological peculiarities of rural geosystems should be conducted on the basis of analysis and evaluation of geochemical showings. Among anthropogenic factors influencing the formation of ecological-geochemical peculiarities of rural geosystems considerable negative influence have unpractical nature management and the economic activity human being. That’s why the study of ecological-geochemical condition of rural geosystems all enables us to estimate them and to determine the change dynamics. On the basis of the conducted researches geosystems in the mountain areas
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31

Popov, Kamen, Kalin Ruskov, and Gotse Zlatkov. "Factor analysis of the geochemical associations in the Plavica ore deposit, Republic of North Macedonia." Review of the Bulgarian Geological Society 82, no. 3 (2021): 144–46. http://dx.doi.org/10.52215/rev.bgs.2021.82.3.144.

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The aim of this study is to investigate the geochemical associations in the Plavica deposit in Republic of North Macedonia. The analyses of drill core samples from the detail exploration works were statistically processed to determine the groups of chemical elements with common spatial distributions. The resulting geochemical groups represent different stages of the ore forming hydrothermal processes. The main ore elements are represented by geochemical association of ([As, Sb, Au, Sn] Cu, Bi, Fe, Ag) which group outlines the ore bodies.
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Fontana, Fernando F., Steven Tassios, Jessica Stromberg, Caroline Tiddy, Ben van der Hoek, and Yulia A. Uvarova. "Integrated Laser-Induced Breakdown Spectroscopy (LIBS) and Multivariate Wavelet Tessellation: A New, Rapid Approach for Lithogeochemical Analysis and Interpretation." Minerals 11, no. 3 (2021): 312. http://dx.doi.org/10.3390/min11030312.

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This paper demonstrates a novel approach that uses wavelet tessellation in rapid analysis of raw geochemical data produced by laser-induced breakdown spectroscopy (LIBS) to produce pseudologs that are representative of stratigraphy. Single-line LIBS spectral data for seven major rock-forming elements (Al, Ca, Fe, Mg, Si, Na and K) were collected from a synthetic 22-sample rock-block comprising two distinct lithological groups based on mineralogy, chemistry and texture: plutonic rocks and marble. Seven sublithologies are identified within the rock-block from traditional laboratory whole-rock ge
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33

Babu, Vinay, J. Devaraju, Santosh K. Rai, and Uday Bhan. "Utilizing Geochemical Analysis for Provenance Determination in Sedimentary Systems." Research Journal of Chemistry and Environment 27, no. 7 (2023): 126–32. http://dx.doi.org/10.25303/2707rjce1260132.

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Geochemical and isotopic analysis represents a potent approach for investigating sediment provenance, a crucial aspect for paleogeographic reconstructions, understanding the evolution of the Earth's crust and characterizing geology in areas that are no longer exposed at the surface. The sediment composition can be influenced by multiple processes including the weathering and erosion of the source rock, mixing with other sediment sources, grain size sorting and hydrodynamic processes such as water or wind transport. Additionally, climate and topography can impact the sediment composition by aff
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Hajihosseinlou, Mahsa, Abbas Maghsoudi, and Reza Ghezelbash. "Geochemical Anomaly Detection and Pattern Recognition: A Combined Study of the Apriori Algorithm, Principal Component Analysis, and Spectral Clustering." Minerals 14, no. 12 (2024): 1202. http://dx.doi.org/10.3390/min14121202.

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This study demonstrates the effectiveness of combining Principal Component Analysis (PCA) and the Apriori algorithm for feature selection, alongside Spectral clustering, to detect geochemical anomalies in Mississippi Valley-Type (MVT) Pb-Zn deposits in western Iran. First, PCA and Apriori enabled the identification of both syngenetic and epigenetic components, which helped in recognizing elements associated with mineralization. These elements were then modeled using Spectral clustering to detect geochemical anomalies. Unlike traditional methods like k-means, Spectral clustering does not requir
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35

Liu, Bin, Si Guo, Youhua Wei, and Zedong Zhan. "A Fast Independent Component Analysis Algorithm for Geochemical Anomaly Detection and Its Application to Soil Geochemistry Data Processing." Journal of Applied Mathematics 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/319314.

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A fast independent component analysis algorithm (FICAA) is introduced to process geochemical data for anomaly detection. In geochemical data processing, the geological significance of separated geochemical elements must be explicit. This requires that correlation coefficients be used to overcome the limitation of indeterminacy for the sequences of decomposed signals by the FICAA, so that the sequences of the decomposed signals can be correctly reflected. Meanwhile, the problem of indeterminacy in the scaling of the decomposed signals by the FICAA can be solved by the cumulative frequency metho
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36

Rudykh, I. V. "Application of geochemical methods for direct prediction of hydrocarbon deposits in Western Yakutia." Vestnik of North-Eastern Federal University Series "Earth Sciences", no. 3 (September 21, 2023): 24–28. http://dx.doi.org/10.25587/svfu.2023.31.3.003.

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Based on the materials previously carried out by various types of geochemical surveys (water-gas, hydrochemical, litho-gas-geochemical, snow, atmochemical, bituminological sampling), an analysis of the oil and gas potential prospects of the eastern part of the Siberian platform within the Sakha Republic (Yakutia) established a direct relationship between the anomalies and the proven oil and gas potential of the studied territories. The indicators of geochemical field anomalies are an order of magnitude higher within territories with proven oil and gas potential (Nepa-Botuobinskaya anteclise) t
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37

Korobova, Elena. "Vernadsky ideas in biogeochemistry field and their development in GEOKHI RAS (brief essay)." VM- Novitates 17, no. 2 (2023): 12–20. http://dx.doi.org/10.31343/1029-7812-2023-17-2-12-20.

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The article analyses evolution of Vernadsky’s ideas in the field of biogeochemistry, and implementation of these ideas through the Biogeochemical laboratory, and, later – in the laboratory’s successor GEOKHI RAS. The analysis demonstrates high value of Vernadsky’s ideas for basic researches in geochemical ecology and perspective of spatial analysis approach for identification, prevention, and elimination of endemic diseases of geochemical nature.
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Almobarak, Falak, and Lydia A. Mezhova. "Ecological analysis of agricultural environmental management problems in the Central Chernozem Region." Samara Journal of Science 9, no. 2 (2020): 10–14. http://dx.doi.org/10.17816/snv202101.

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Abstract. Land resources of the Central Chernozem Region are intensively used in economic activities that have affected the degradation of the natural environment components. The 100-year observation period revealed changes in biogenic components and humus in the regions soils. To determine the environmental problems of agricultural environmental management, we have calculated modular indicators of geochemical impact of various agricultural sectors. We have calculated the modular indicator of agricultural impact assessment on agricultural systems of the Central Chernozem Region. In order to pr
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39

Zhang, Qianlong, Yongzhang Zhou, Juxiang He, Biaobiao Zhu, Feng Han, and Shiyao Long. "A Review on Global Cooperation Network in the Interdisciplinary Research of Geochemistry Combined with Artificial Intelligence." Minerals 13, no. 10 (2023): 1332. http://dx.doi.org/10.3390/min13101332.

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With the rapid development of modern geochemical analysis techniques, massive volumes of data are being generated from various sources and forms, and geochemical data acquisition and analysis have become important tools for studying geochemical processes and environmental changes. However, geochemical data have high-dimensional, nonlinear characteristics, and traditional geochemical data analysis methods have struggled to meet the demands of modern science. Nowadays, the development of big data and artificial intelligence technologies has provided new ideas and methods for geochemical data ana
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40

Halloran, Paul R., Nigel Rust, and Rosalind E. M. Rickaby. "Isolating coccoliths from sediment for geochemical analysis." Geochemistry, Geophysics, Geosystems 10, no. 3 (2009): n/a. http://dx.doi.org/10.1029/2008gc002228.

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41

Allen, T. R. "Remote geochemical analysis: Elemental and mineralogical composition." Geomorphology 18, no. 3-4 (1997): 350–52. http://dx.doi.org/10.1016/s0169-555x(96)00037-2.

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42

Campbell, Katherine. "Exploration-Geochemical Data Analysis With the IBMPC." Technometrics 32, no. 3 (1990): 358. http://dx.doi.org/10.1080/00401706.1990.10484711.

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43

SHUYUN, X., C. QIUMING, K. XIANZHONG, B. ZHENGYU, W. CHANGMING, and Q. HAOLI. "Identification of Geochemical Anomaly by Multifractal Analysis." Journal of China University of Geosciences 19, no. 4 (2008): 334–42. http://dx.doi.org/10.1016/s1002-0705(08)60066-7.

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44

Lucey, Paul G. "Remote geochemical analysis: elemental and mineralogical composition." Geochimica et Cosmochimica Acta 58, no. 20 (1994): 4531–32. http://dx.doi.org/10.1016/0016-7037(94)90356-5.

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45

Brereton, Richard G. "Spectral analysis of multivariate geochemical time series." Chemometrics and Intelligent Laboratory Systems 2, no. 1-3 (1987): 177–85. http://dx.doi.org/10.1016/0169-7439(87)80095-3.

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46

Apata, A. C., and S. I. Adedokun. "Geochemical Analysis of Ilaro-Papalanto Highway Subgrade." LAUTECH Journal of Civil and Environmental Studies 5, no. 1 (2020): 146–53. http://dx.doi.org/10.36108/laujoces/0202/50(0141).

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In this study, the geochemical analysis of the subgrade at different locations of Ilaro-Papalanto highway was conducted using Atomic Absorption Spectrometry (AAS) and X-Ray Diffractometry (XRD). The predominant oxides present in both soil samples are Silicon Oxide (40% - 45%) and Aluminium Oxide (31% - 34%), and the average silica content of Ilaro and Papalanto are 45.71% and 40.71% respectively, which implies that Ilaro soil sample is more chemically inert and structurally stable than Papalanto soil samples. The average sesquioxide content of Papalanto (36.27%) is higher than that of Ilaro (3
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Rothery, D. A. "Remote geochemical analysis: elemental and mineralogical composition." Earth-Science Reviews 36, no. 1-2 (1994): 142. http://dx.doi.org/10.1016/0012-8252(94)90018-3.

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48

Singh, Chander Kumar, Anand Kumar, Satyanarayan Shashtri, Alok Kumar, Pankaj Kumar, and Javed Mallick. "Multivariate statistical analysis and geochemical modeling for geochemical assessment of groundwater of Delhi, India." Journal of Geochemical Exploration 175 (April 2017): 59–71. http://dx.doi.org/10.1016/j.gexplo.2017.01.001.

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Zhou, Shuguang, Kefa Zhou, Jinlin Wang, Genfang Yang, and Shanshan Wang. "Application of cluster analysis to geochemical compositional data for identifying ore-related geochemical anomalies." Frontiers of Earth Science 12, no. 3 (2017): 491–505. http://dx.doi.org/10.1007/s11707-017-0682-8.

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Miller, Jerry. "Methods and Advances in the Forensic Analysis of Contaminated Rivers." E3S Web of Conferences 125 (2019): 01001. http://dx.doi.org/10.1051/e3sconf/201912501001.

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Trace metals and metalloids are a common and persistent form of riverine (river) contamination and are derived from a wide variety of sources, including mining and milling operations, industrial activities, urban runoff, agricultural chemicals, and atmospheric pollution, among a host of others. Documentation of trace metal sources and dispersal pathways in riverine ecosystems is essential to mitigate their potentially harmful effects to human and ecosystem health and is often required from a legal (environmental forensic) perspective to assess liability for the costs of remediation. Unfortunat
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