Abstract
A total of 112 Au-nuggets, collected from alluvial placer deposits of the Ingarinda River from the Guli massif, located in northem Siberia, Russia, were investigated. The Guli massif consists of a huge dunite-clinopyroxenite complex (the largest complex in the world), an alkaline to highly alkaline rock suite (melilite, nephelinite, ijolite) enveloping the dunite and carbonatite intrusions, associated with disseminated schlieren type chromitite and Au-Ag, Pt placer deposits. The nuggets are characterized by various sizes and shapes and show chemical compositions Au, Au-Ag and AuCu, typical for a derivate of carbon-atites and/or ultramafic complexes. A great variety of oxide, silicate, REE-minerals, carbonate and sulphide inclusions have been detected in the nuggets, which are identical in mineralogy and chemical composition to mineral constituents of the alkaline to highly alkaline rock suite surrounding the Guli dunite core complex thus, considered as the source for Au-nuggets.
1 Introduction, geological settings
The Guli dunite-clinopyroxenite massif is located in the Maimechia-Kotui province in the northern part of the Siberian Platform (Taimyr Province, Russia). According to geophysical data, the Guli massif occupies an area of 2000 km2 at an intersection of two paleorifts: the meridional Taimyr-Baikal and the latitudinal Yenisei-Kotui pa-leorift [1]. The Guli massif consists of an ultramafic complex, an alkaline suite, and carbonatite intrusions (Fig. 1). Ultramafic rocks are composed of dunite with occasional highly disseminated to schlieren-type chromitite occurrences, wehrlite and magnetitic clinopyroxenites. Dunite is predominant within an area of approximately 450 km2. The Guli placer-forming sediments are related to the Ingarinda, Saby, Gule and Selinga rivers, and their tributaries. Recent and Upper Quaternary alluvial, fluviatile and terrace beds are productive for platinum group minerals (PGM) and native gold [2-7]. The precious metal nuggets are particularly located between unconsolidated sediments and bedrock. It is suggested that the placer deposits were formed during unroofing and disintegration of rocks of the Guli massif after Early Cretaceous times [5-7].

Geological map of the Guli massif.
This Study represents a detailed mineralogical and geochemical investigation of representative composite Au nuggets from the Ingarinda River. These results are compared with a detailed study of the alkaline rock sequences located between the dunite core complex and the carbonatite intrusion, in order to find the source rocks for the Au-nuggets.
2 Methods
A detail mineralogical, petrological and geochemical investigation was carried out, on the basis of 112 Au-nuggets and five selected drill cores (Z2, Z3, Z4, G28 and Z12). 112 Au-nuggets were collected from Ingarinda river placer deposits. The drill core locations were selected from the periphery of the dunite core complex in the direction of the carbonatite intrusion. The rock suite investigated is composed of dunite at the periphery of the dunite core complex, showing the typical cumulate texture of the olivine melanephelinites, clinopyroxenite and carbonatite.
Sample preparation and investigation were completed at Leoben University (Montanuni Leoben) in Austria. Microscopy investigation used an OLYMPUS BX 40 and BX 60 Microscope with different magnitudes, Raman spectroscopy used a Jobin Yvon Raman LABRAM spectroscope frequency equipped with a double-Nd-YAG laser (100 mW, 532.2 nm), He-laser (633 nm) and CCD detector matrix. Laser focusing and sample viewing was performed through an OLYMPUS BX 40 microscope with reflected and transmitted light. Mineral chemistry composition was determined by electron microprobe techniques (ARL SEMQ 30; 15 kV; 15 nA) using certain standards (Mineralogy and Petrology department). XRF and ICP-MS equipment at the Analytical Chemistry Department used for major and trace elements analyses of the host rocks chemistry.
3 Morphology and size of the gold nuggets
Morphometric and morphological analyses of gold nuggets have been used as indicators of the transport mode, the transport distance and also for the source the gold might have been derived [8, 9]. The grain size of nuggets is mainly a function of transport distance and/or the period of time a particular particle has remained in transport. Thus, grains bigger than 20 mm are supposed to be deposited a few km from the source area, whereas particles with a grain size between 3 and 20 mm could have been transported 10-15 km away from the source area [10].
In this study, 112 nuggets were investigated with respect to their grain size and morphology. The investigation was carried out using a binocular equipped with a digital camera. Grain size was also determinate (i.e. equivalent circle diameter).
The main proportion of the gold nuggets reveal a middle dimension dm (dm = (L + W)/2) between 0.25 and 1.0 mm, 10% of the nuggets show a dm between 0.125 and 0.25 mm, 38% are bigger than 0.25 mm and 39% show a dm between 0.5 and 0.1 mm (Fig. 2). Similarly, 96% of the nuggets show a maximum length (L-max) smaller than 2 mm with 79% of them having an L-max between 0.25 and 1.0 mm.
![Figure 2 Morphometry properties of gold nuggets: a = dm [(L +W)/2], b = L-max [maximum length].](/document/doi/10.1515/geo-2016-0016/asset/graphic/j_geo-2016-0016_fig_002.jpg)
Morphometry properties of gold nuggets: a = dm [(L +W)/2], b = L-max [maximum length].
The majority of the nuggets show an ECD (= the equivalent circle diameter, defined as L. W, according to Bonev [11]) between 100 and 500 μm (59.05%), 40.95% have an ECD (Equivalent circle diameter) between 500 and 2000 μm. The ratio between length and width of the nuggets (i.e. the anisotropy 2 - D = L/D) is > 1.0,12% of the nuggets show a 2-D ratio between 1.0 and 1.1, very typical for highly spheroidal particles, 34.48% have a 2-D ratio between 1.3 and 1.6, and 6.25% of the nuggets reveal a 2-D ratio between 1.8 and 2.
The shape of the gold nuggets was determined by roundness and sphericity using the classification scheme of Krumbein [12]. The majority of the nuggets show a roundness (R) between sub-angular (R = 0.3; 18.75%), rounded (R = 0.5; 42.75%), and well-rounded ( R =0.7; 19.74%). The sphericity (S), shown in Fig. 3; lies predominantly between 0.3 and 0.7.

Morphometry properties of gold nuggets: Roundness (R) of grains from 0, 1 to 0, 9 und sphericity (S) 0, 3 to 0, 9.
The size and morphological characteristics indicate a transport distance of around 20 km from the source area.
4 Chemical composition of the gold nuggets
The chemical composition of the nuggets was determined using an ARL-SMQ electron microprobe, equipped with a LINC EDS. Analysis conditions were a beam current of 15 kV at 20 nA, using mineral standards for quantitative analyses. Representative compositions of gold nuggets are given in Table 3.
Abundance of sulfide inclusions in the different nugget classes.
I | II-A | II-B | II-C | II-D | III |
---|---|---|---|---|---|
cuprostibite | cuprostibite | paradocrasite | pentlandite | ||
chalcopyrite | hessite | chalcopyrite | cobaltine | ||
chalcosine | nickeline | cubanite | |||
bornite | galena | pentlandite | |||
pentlandite | pyrrhotite | parkerite | |||
nickeline | bornite | pyrhotite | |||
cobaltine | bornite |
Comparison of typical mineral inclusions in the nugget with those characteristic of the alkaline rock suite.
GOLD NUGGETS | HOST ROCK | ||
---|---|---|---|
ilmenite | pentlandite | ilmenite | pentlandite |
Ti-magnetite | pyrrhotite | Ti-magnetite | pyrrhotite |
Cr, Ti-magnetite | galena | Cr, Ti-magnetite | galena |
perovskite | chalcopyrite | perovskite | chalcopyrite |
olivine | nickeline | olivine | pyrite |
sphene | breithauptite | sphene | sphalerite |
Ti-garnet | hessite | Ti-garnet | K-sulfide |
clinopyroxene | chalcosine | clinopyroxene | rutile |
aegirine | bornite | aegirine | nepheline |
Na-amphibole | cubanite | Na-amphibole | Ti-clinohumite |
phlogopite | parkerite | phlogopite | |
serpentine | zirkelite | serpentine | |
chlorite | chevkinite | chlorite | |
calcite | calcite | ||
dolomite | dolomite | ||
apatite | feldspar | ||
apatite |
Representative microprobe analyses of gold nuggets.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
---|---|---|---|---|---|---|---|---|---|---|
Saple wt% | G632 | G63-4 | G65-3 | G65-4 | G65-9 | G71-6 | G71-13 | G74-3 | G77-4 | G77-6 |
Au | 81.9 | 89.66 | 74.02 | 82.33 | 97.14 | 95.99 | 74.89 | 72.12 | 74.26 | 96.11 |
Ag | 2.82 | 7.9 | 0.71 | 13.61 | 1.47 | 0.93 | 0.24 | 25.73 | 0.19 | 0.17 |
Hg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cu | 13.1 | 2.48 | 24.83 | 4.02 | 0.15 | 2.95 | 24.18 | 1.25 | 25.65 | 2.56 |
Pd | 0 | 0.04 | 0 | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 |
tot | 98.53 | 99.47 | 99.56 | 99.96 | 98.83 | 99.87 | 99.31 | 99.1 | 100.1 | 98.84 |
Finenes at% | 967 | 925 | 990 | 958 | 985 | 990 | 997 | 737 | 997 | 998 |
Au | 63.07 | 80.97 | 48.61 | 68.81 | 96.73 | 89.85 | 49.83 | 58.64 | 48.19 | 92.1 |
Ag | 3.97 | 12.02 | 0.85 | 20.77 | 2.67 | 1.59 | 0.29 | 0.23 | 0.23 | 0.3 |
Hg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cu | 32.96 | 6.94 | 50.54 | 10.41 | 0.46 | 8.56 | 49.87 | 51.59 | 51.59 | 7.6 |
Pd | 0 | 0.07 | 0 | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 |
tot | 100 | 100 | 100 | 99.99 | 99.99 | 100 | 99.99 | 100 | 100 | 100 |
11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | |
---|---|---|---|---|---|---|---|---|---|---|
Saple wt% | G98-1 | G98-11 | G49-1 | G49-2 | G49-7 | G35-1 | G35-3 | G46-2 | G58-2 | G67-7 |
Au | 55.46 | 93.22 | 90 | 69.71 | 88.89 | 86.99 | 97.96 | 88.68 | 95.11 | 95.03 |
Ag | 44.91 | 4.26 | 10.06 | 29.28 | 5.81 | 13.35 | 2.5 | 10.41 | 5.58 | 5.05 |
Hg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cu | 0 | 0 | 0 | 0.11 | 0 | 0 | 0 | 0.34 | 0.14 | 0.01 |
Pd | 0 | 0 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
tot | 100 | 97.47 | 100.1 | 99.1 | 94.7 | 100.3 | 100.5 | 99.43 | 100.8 | 100.1 |
Finenes at% | 553 | 956 | 899 | 704 | 939 | 867 | 975 | 895 | 945 | 950 |
Au | 40.34 | 92.3 | 83.03 | 56.44 | 89.34 | 78.1 | 95.55 | 81.55 | 89.95 | 91.08 |
Ag | 59.66 | 7.7 | 16.95 | 43.29 | 10.66 | 21.9 | 4.45 | 17.48 | 9.64 | 8.84 |
Hg | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Cu | 0 | 0 | 0.03 | 0.28 | 0 | 0 | 0 | 0.97 | 0.41 | 0.03 |
Pd | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
tot | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Argentian gold (containing 5-20 wt. % Ag), electrum (containing 20-60 wt.% Ag), tetra-auricupride and pure gold (< 5 wt.% Ag) have been found amongst the Guli nuggets, as single and composite grains. The composite nuggets are complex in composition in terms of electrum (e.g. with varying Au:Ag ratios) with oriented exsolu-tion lamellae of tetra-auricupride and an outer pure gold rim, quite characteristic of Guli nuggets [2, 3]. Cu in Guli nuggets was first reported by [4, 13]. The maximum Cu-content detected in the nuggets in this study is 4 wt.% in Au-Ag-Cu composite grains and up to 3.26 wt.% in single grains. Characteristically, the distribution of Au, Ag and Cu is very inhomogeneous from core to rim and no regular zonation cold be detected. Pure gold (i.e. > 98 wt.% Au) typically forms up to 5 μm thick irregular outer rims. Less commonly, pure gold has been found as irregular patches within the core portions of the nuggets with a sharp contact to the host. These patches are often related to micro fractures (Fig. 4a), indicating that the pure gold was formed by selective removal of Ag and Cu along the micro fractures. Pure gold has also been detected as single nuggets.

Microphotograph under reflected light, parallel Nichols, tetra-auricuprid and electrum complex texture (a); Argentiangold (b); masiv electrum (c) masiv tetra-uricuprid (d) pure gold rim less than 5 μm in size.
5 Classification of the gold nuggets
On the basis of compositional characteristics, the Guli nuggets investigated can be classified into the following groups:
Au-Cu, Au-Cu +Au-Ag.
11.43% of the nuggets investigated belong to this class. The nuggets are defined by tetra-auricupride as single mineral phase, or tetra-auricupride with electrum in composite nuggets. (G3; G26; G63; G65; G70; G71; G74; G77).
Au-Ag nuggets
78.86% of the investigated nuggets belong to this class. Depending on the following, sub-classes can be distinguished:
AuAgx (x > 1 and Cu-content < 0.05 wt%).
Fineness from 407 to 660. (G5; G96; G97; G98.)
AuAg-Au1.9Ag (Cu-content 1.63 wt%).
Fineness from 663 to 790. (G11; G15; G21; G25; G29; G32; G33; G36; G40; G49; G53; G68; G69; G99; G103; G104).
Au2Ag-Au3.9Ag (Cu-content 3.26 wt%)
Fineness from 774 to 870. (G1; G2; G4; G9; G10; G13; G22; G24; G30; G35; G37; G39; G41; G44; G47; G51; G54; G56; G75; G76).
Au4Ag-Au5.9Ag (Cu-content 1.45 wt%)
Fineness from 878 to 920 (G20; G27; G38; G45; G46; G55; G60; G72)
AuXAg (x > 6 Cu-content 0.46 wt%).
Fineness from 915 to 951 (G6; G8; G12; G14; G16;G17; G18; G19; G42; G52; G58; G59;G67
6 Solid inclusions in the Guli gold nuggets
The detailed microscopic study of the gold nuggets revealed a great variety of solid inclusions. Quite commonly mineral phases are attached to the gold nuggets at the rim. In these cases the attached mineral phase is termed "inter-growth" in the following detail.
An overview of all the solid inclusions found in the Guli nuggets is illustrated in Table 2. The abundance of solid inclusions with respect to the gold nugget classification is summarised in Fig. 5. The investigation of these inclusions and their compositional characteristics should provide some indications of the source of the nuggets.

Abundance of silicate, oxide inclusions and rare inclusions in the different gold nugget classes. ol = olivine, amph = amphibole, chl = chlorite, Fs = feldspar, ilm = ilmenite, sph = sphene, chr = Cr-magnetite, dol = dolomite, qtz = quartz, cpx = clinopyroxene, serp = serpentine, phl = phlogopite, mt = magnetite, per = perovskite, grt = garnet, cal = calcite, ap = apatite, mel = melilite.
Oxides
Oxide inclusions occur in all gold classes distinguished.
Ti-magnetite to Cr-magnetite, perovskite and ilmenite had been found as inclusions in the gold nuggets. Perovskite was found intergrown with gold, ranging in size up to 5 μm. Representative microprobe analyses are shown (Table 4, 5). Ilmenite (up to 50 μm in size) is an inclusion mineral in gold containing between 1.2 and 1.84 wt% MnO and up to 3.37 wt% MgO. Magnetite forms the main oxide inclusion mineral in gold. Four types of magnetite were detected on the basis of its chemical composition: a) magnetite with some Al and Mg impurities, b) Ti-magnetite with up to 21.1 wt% TiO2) Ti-Cr-magnetite, characterized by up to 8.1 wt% of TiO2 and 3 wt% of Cr2O3, and c) Cr-magnetite, containing up to 27.4 wt% Cr2O3. They are small in size (up to 2 μm), and commonly associated with dolomite and serpentine.
Representative microprobe analyses of inclusion in gold nuggets.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
---|---|---|---|---|---|---|---|---|---|---|
Pro.Nam | SIG38-2 | SIG72-21 | SIG11-4 | SIG45-9 | SIG36-4 | SIG36-5 | SIG38-5 | SIG45-8 | SIG56-1 | SIG38-3 |
Min Name | sph | sph | ol | ol | cpx | cpx | cpx | cpx | cpx | cal |
SiO2 | 31.47 | 30.40 | 39.52 | 41.17 | 54.09 | 51.70 | 54.50 | 50.08 | 52.29 | 0.08 |
Al2O3 | 0.06 | 0.44 | 0.00 | 0.24 | 1.67 | 3.06 | 0.72 | 2.30 | 1.00 | 0.00 |
TiO2 | 39.59 | 31.95 | 0.05 | 0.00 | 1.71 | 2.44 | 0.73 | 2.66 | 1.42 | 0.04 |
FeO | 1.12 | 1.38 | 15.39 | 11.38 | 6.77 | 7.04 | 28.16 | 6.65 | 9.63 | 0.00 |
MgO | 0.00 | 0.00 | 44.37 | 48.72 | 15.85 | 13.79 | 1.69 | 15.13 | 12.17 | 0.00 |
MnO | 0.02 | 0.02 | 0.25 | 0.30 | 0.12 | 0.08 | 0.00 | 0.14 | 0.27 | 0.05 |
NiO | 0.00 | 0.00 | 0.24 | 0.05 | 0.05 | 0.10 | 0.02 | 0.00 | 0.02 | 0.00 |
Cr2O3 | 0.05 | 0.02 | 0.00 | 0.00 | 0.05 | 0.37 | 0.28 | 0.03 | 0.02 | 0.00 |
K2O | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.02 | 0.01 | 0.02 | 0.00 | 0.00 |
Na2O | 0.39 | 0.00 | 0.00 | 0.00 | 0.37 | 0.48 | 13.14 | 0.56 | 1.32 | 0.06 |
CaO | 25.62 | 28.49 | 0.14 | 0.24 | 19.94 | 21.90 | 1.31 | 22.11 | 21.62 | 54.58 |
Total | 98.32 | 92.71 | 100.16 | 102.11 | 100.62 | 100.98 | 100.56 | 99.68 | 99.76 | 54.81 |
Inclu/Interg | incl | incl | int | int | incl | incl | int | int | int | incl |
---|---|---|---|---|---|---|---|---|---|---|
Oxy | 5 | 5 | 4 | 4 | 6 | 6 | 6 | 6 | 6 | |
Si | 1.04 | 1.08 | 1.00 | 1.00 | 1.97 | 1.90 | 1.99 | 1.87 | 1.97 | |
Al | 0.00 | 0.02 | 0.00 | 0.01 | 0.07 | 0.13 | 0.03 | 0.10 | 0.04 | |
Ti | 0.98 | 0.85 | 0.00 | 0.00 | 0.05 | 0.07 | 0.02 | 0.07 | 0.04 | |
Fe | 0.03 | 0.04 | 0.32 | 0.23 | 0.21 | 0.22 | 0.864 | 0.21 | 0.30 | |
Mg | 0.00 | 0.00 | 1.67 | 1.76 | 0.86 | 0.75 | 0.092 | 0.84 | 0.68 | |
Mn | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | |
Ni | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
Cr | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | |
K | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
Na | 0.02 | 0.00 | 0.00 | 0.00 | 0.03 | 0.03 | 0.94 | 0.04 | 0.10 | |
Ca | 0.91 | 1.08 | 0.00 | 0.01 | 0.78 | 0.86 | 0.06 | 0.88 | 0.87 | |
XMg | 0.00 | 0.00 | 84.50 | 88.14 | 81.00 | 78.00 | 10.00 | 80.00 | 69.00 | |
Cations | 2.99 | 3.07 | 3.00 | 3.00 | 3.96 | 3.98 | 4.0 | 4.02 | 4.02 |
11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | ||
---|---|---|---|---|---|---|---|---|---|---|
Pro.Nam | SIG42-2 | SIG32-2 | SIG65-1 | SI-G1-20 | Pro.Nam | SIG45-7 | SIG45-16 | SIG99-2 | MAG19-10 | SIG103-3 |
Min Name | ilm | ilm | perv | Ti-mt | Cr-Ti-mt | mt | chr | chr | ||
SiO2 | 0.05 | 0.59 | 1.58 | 0.10 | SiO2 | 0.27 | 0.41 | 6.45 | 0.16 | 0.21 |
Al2O3 | 0.00 | 0.00 | 0.00 | 0.00 | TiO2 | 21.14 | 8.11 | 0.06 | 3.96 | 1.48 |
TiO2 | 49.49 | 50.50 | 54.40 | 56.62 | Al2O3 | 0.09 | 1.75 | 1.07 | 2.44 | 0.00 |
FeO | 47.83 | 42.63 | 1.87 | 0.35 | Cr2O3 | 0.00 | 12.19 | 0.02 | 27.41 | 22.93 |
MgO | 0.00 | 3.07 | 0.00 | 0.00 | V2O3 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
MnO | 1.84 | 0.0 | 0.02 | 0.00 | FeO | 74.98 | 66.18 | 75.54 | 57.90 | 68.08 |
NiO | 0.09 | 0.02 | 0.10 | 0.00 | MnO | 2.43 | 1.51 | 0.22 | 3.59 | 1.39 |
Cr2O3 | 0.00 | 0.03 | 0.00 | 0.00 | MgO | 0.39 | 2.98 | 0.67 | 1.94 | 0.94 |
K2O | 0.00 | 0.01 | 0.01 | 0.07 | CaO | 0.01 | 0.03 | 0.19 | 0.06 | 0.01 |
Na2O | 0.16 | 0.00 | 0.87 | 0.77 | ZnO | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
CaO | 0.01 | 0.07 | 38.67 | 33.18 | ||||||
Total | 99.47 | 98.12 | 97.52 | 91.09 | Total | 99.44 | 93.25 | 84.31 | 97.46 | 95.04 |
Inclu/Interg | incl | incl | int | int | incl/int | int | incl | int | int | incl |
---|---|---|---|---|---|---|---|---|---|---|
Oxy | 6 | 6 | 6 | Oxy | 32 | 32 | 32 | |||
Si | 0.00 | 0.03 | 0.07 | 0.00 | Si | 0.08 | 0.12 | 0.11 | 0.05 | 0.06 |
Al | 0.00 | 0.00 | 0 | 0.00 | Ti | 4.67 | 1.84 | 1.51 | 0.87 | 0.34 |
Ti | 2 | 1.92 | 1.90 | 2 | Al | 0.03 | 1 | 0.03 | 0.84 | 0.00 |
Fe | 2.06 | 1.80 | 0.07 | 0.01 | Cr | 0.00 | 2.91 | 0.01 | 6.33 | 5.51 |
Mg | 0.00 | 0.23 | 0.00 | 0.00 | V | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 |
Mn | 0.08 | 0.05 | 0.00 | 0 | Fe(iii) | 6.47 | 8.53 | 12.70 | 6.99 | 9.69 |
Ni | 0.00 | 0.00 | 0.00 | 0.00 | Fe(ii) | 11.95 | 8.21 | 9.52 | 7.16 | 7.62 |
Cr | 0.00 | 0.00 | 0.00 | 0.00 | Mn | 0.60 | 0.39 | 0.02 | 0.89 | 0.36 |
K | 0.00 | 0.00 | 0.00 | 0.00 | Mg | 0.17 | 1.34 | 0.05 | 0.85 | 0.43 |
Na | 0.02 | 0.020 | 0.08 | 0.07 | Ca | 0.00 | 0.01 | 0.01 | 0.02 | 0.00 |
Ca | 0.00 | 0.00 | 1.93 | 1.75 | Zn | 0.02 | 0.02 | 0.02 | 0.00 | 0.00 |
XMg | 0.00 | 0.11 | 0.00 | 0.00 | ||||||
Cations | 4.09 | 4.05 | 4.06 | 3.94 | Cations | 24.00 | 24.00 | 24.00 | 24.00 | 24.00 |
Representative microprobe analyses of inclusion in gold nuggets.
20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | |
---|---|---|---|---|---|---|---|---|---|---|
Pro.Name | SIG40-6 | SIG103-1 | SIG37-2 | SIG1-9 | MAG14-6 | MAG14-36 | SIG72-6 | SIG72-27 | SIG44-4 | SIG27-1 |
Min Name | ser | ser | amph | amph | amph | amph | chl | chl | Nepouite | Melilit |
SiO2 | 37.45 | 39.96 | 41.85 | 59.01 | 56.88 | 54.76 | 37.62 | 38.82 | 26.43 | 38.67 |
Al2O3 | 4.83 | 0.97 | 6.34 | 0.98 | 0.82 | 2.58 | 12.06 | 13.76 | 2.34 | 12.46 |
TiO2 | 0.10 | 0.04 | 0.66 | 0.15 | 0.09 | 0.52 | 0.11 | 0.04 | 0.15 | 0.59 |
FeO | 7.07 | 8.12 | 16.29 | 3.62 | 9.55 | 12.64 | 7.25 | 6.61 | 7.19 | 0.14 |
MgO | 37.06 | 35.89 | 11.36 | 21.51 | 15.73 | 15.24 | 29.38 | 28.28 | 2.39 | 11.39 |
MnO | 0.05 | 0.07 | 0.07 | 0.06 | 0.51 | 0.25 | 0.15 | 0.15 | 0.08 | 2.66 |
NiO | 0.68 | 0.05 | 0.81 | 0.00 | 0.09 | 0.00 | 0.29 | 0.13 | 32.30 | 0.00 |
Cr2O3 | 0.00 | 0.17 | 0.06 | 0.13 | 0.00 | 0.00 | 0.03 | 0.05 | 0.07 | 0.01 |
K2O | 0.05 | 0.02 | 1.56 | 0.26 | 0.51 | 0.48 | 0.66 | 0.54 | 0.04 | 2.24 |
Na2O | 0.00 | 0.00 | 0.28 | 6.17 | 8.26 | 7.47 | 0.16 | 0.05 | 0.00 | 0.64 |
CaO | 0.09 | 0.07 | 1.10 | 5.35 | 6.07 | 3.29 | 0.27 | 0.33 | 0.22 | 30.27 |
Total | 87.38 | 85.36 | 80.38 | 97.24 | 98.51 | 97.23 | 87.98 | 88.76 | 71.21 | 99.07 |
Inclu/Interg | int | int | incl | incl | incl | int | incl | incl | incl | incl |
Oxy | 28 | 28 | 23 | 23 | 23 | 23 | 6 | 6 | 9 | 14 |
Si | 7.21 | 7.86 | 7.42 | 8.12 | 8.07 | 7.90 | 7.12 | 7.21 | 3.97 | 3.51 |
Al | 1.08 | 0.22 | 1.31 | 0.16 | 0.14 | 0.43 | 2.66 | 2.98 | 0.41 | 1.32 |
Ti | 0.01 | 0.01 | 0.09 | 0.02 | 0.01 | 0.06 | 0.02 | 0.01 | 0.02 | 0.04 |
Fe | 1.14 | 1.34 | 2.42 | 0.42 | 1.13 | 1.52 | 1.15 | 1.03 | 0.90 | 0.01 |
Mg | 10.63 | 10.52 | 3.00 | 4.41 | 3.33 | 3.28 | 8.30 | 7.83 | 0.54 | 1.54 |
Mn | 0.01 | 0.01 | 0.01 | 0.01 | 0.06 | 0.03 | 0.02 | 0.02 | 0.01 | 0.20 |
Ni | 0.11 | 0.01 | 0.12 | 0.00 | 0.01 | 0.00 | 0.04 | 0.02 | 3.90 | 0.00 |
Cr | 0.00 | 0.03 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 |
K | 0.01 | 0.01 | 0.35 | 0.05 | 0.09 | 0.09 | 0.16 | 0.13 | 0.01 | 0.26 |
Na | 0.00 | 0.00 | 0.10 | 1.65 | 2.27 | 2.09 | 0.06 | 0.02 | 0.00 | 0.11 |
Ca | 0.02 | 0.01 | 0.21 | 0.79 | 0.92 | 0.51 | 0.05 | 0.07 | 0.04 | 2.95 |
XMg | 90.00 | 89.00 | 55.00 | 91.00 | 75.00 | 68.00 | 88.00 | 88.00 | 37.00 | 99.00 |
Cations | 20.22 | 20.01 | 15.03 | 15.62 | 16.03 | 15.91 | 19.59 | 19.32 | 9.80 | 9.95 |
30 | 31 | 32 | 33 | 34 | 35 | |
---|---|---|---|---|---|---|
Pro.Name | SIG40-3 | SIG9-11 | SIG72-10 | SIG53-6 | SIG71-6 | SIG103- |
Min Name | grt | phl | phl | fs | K-fs | dol |
SiO2 | 35.29 | 45.35 | 41.64 | 58.64 | 65.19 | 0.03 |
Al2O3 | 5.60 | 11.20 | 12.80 | 25.82 | 13.01 | 0.00 |
TiO2 | 3.00 | 0.13 | 0.04 | 0.07 | 0.04 | 0.00 |
FeO | 18.70 | 4.42 | 4.02 | 0.93 | 0.28 | 1.40 |
MgO | 0.00 | 32.20 | 26.88 | 0.00 | 0.00 | 23.26 |
MnO | 0.05 | 0.00 | 0.04 | 0.00 | 0.02 | 0.26 |
NiO | 0.00 | 0.18 | 0.03 | 0.01 | 0.00 | 0.00 |
Cr2O3 | 0.03 | 0.00 | 0.06 | 0.00 | 0.00 | 0.02 |
K2O | 0.02 | 5.05 | 8.25 | 0.48 | 16.40 | 0.01 |
Na2O | 0.15 | 0.68 | 0.57 | 5.49 | 0.66 | 0.00 |
CaO | 36.43 | 0.18 | 0.00 | 10.34 | 0.00 | 31.14 |
Total | 99.27 | 99.39 | 84.33 | 101.78 | 95.60 | 56.12 |
Inclu/Interg | int | incl | incl | int | int | incl |
---|---|---|---|---|---|---|
Oxy | 24 | 22 | 22 | 32 | 32 | |
Si | 6.05 | 5.99 | 5.90 | 10.39 | 12.66 | |
Al | 1.12 | 1.73 | 2.11 | 5.34 | 2.95 | |
Ti | 0.39 | 0.01 | 0.00 | 0.01 | 0.01 | |
Fe | 2.68 | 0.49 | 0.48 | 0.14 | 0.05 | |
Mg | 0.00 | 6.34 | 5.68 | 0.00 | 0.00 | |
Mn | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | |
Ni | 0.00 | 0.02 | 0.00 | 0.00 | 0.00 | |
Cr | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | |
K | 0.00 | 0.85 | 1.49 | 0.11 | 4.06 | |
Na | 0.05 | 0.17 | 0.16 | 1.89 | 0.25 | |
Ca | 6.70 | 0.03 | 0.00 | 1.96 | 0.00 | |
XMg | 0.00 | 93.00 | 92.00 | 0.00 | 0.00 | |
Cations | 17.01 | 15.62 | 15.83 | 19.84 | 19.97 |
36 | 37 | 38 | 39 | |
---|---|---|---|---|
Probe | MAG21-17 | MAG21-18 | MAG21-23 | MAG2 |
Min-Name | Chevkinit | Chevkinit | Zirkelit | Zirkelit |
SiO2 | 23.14 | 19.84 | 0.13 | 0.08 |
Al2O3 | 6.67 | 3.38 | 0.00 | 0.00 |
TiO2 | 11.76 | 17.55 | 28.84 | 33.38 |
FeO | 18.52 | 20.74 | 9.28 | 8.50 |
MgO | 0.96 | 0.71 | 0.00 | 0.00 |
MnO | 0.20 | 0.48 | 0.17 | 0.17 |
NiO | 0.10 | 0.05 | 0.07 | 0.07 |
Cr2O3 | 0.00 | 0.00 | 0.00 | 0.00 |
K2O | 0.93 | 0.13 | 0.00 | 0.00 |
Na2O | 0.00 | 0.00 | 0.00 | 0.00 |
CaO | 2.84 | 4.45 | 6.64 | 8.14 |
ZrO2 | 5.73 | 10.56 | 22.30 | 23.69 |
La2O3 | 0.49 | 0.39 | 0.62 | 0.69 |
Ce2O3 | 3.92 | 3.44 | 5.35 | 4.65 |
Nd2O3 | 3.12 | 3.25 | 5.00 | 4.69 |
Sm2O3 | 0.91 | 0.61 | 1.04 | 1.22 |
Total | 79 | 86 | 79 | 85 |
Oxy | 22 | 22 | 7 | 7 |
---|---|---|---|---|
Incl | Incl | Incl | Incl | Incl |
Si | 4.78 | 3.96 | 0.010 | 0.01 |
Ti | 1.83 | 2.64 | 1.750 | 1.84 |
Al | 1.62 | 0.80 | 0.000 | 0.00 |
Cr | 0.00 | 0.00 | 0.000 | 0.00 |
Fe(ii) | 3.20 | 3.47 | 0.626 | 0.52 |
Mn | 0.03 | 0.08 | 0.012 | 0.01 |
Mg | 0.30 | 0.21 | 0.000 | 0.00 |
Ni | 0.03 | 0.01 | 0.008 | 0.01 |
Ca | 0.63 | 0.95 | 0.574 | 0.64 |
Na | 0.00 | 0.00 | 0.000 | 0.00 |
K | 0.24 | 0.03 | 0.000 | 0.00 |
La | 0.01 | 0.01 | 0.006 | 0.01 |
Ce | 0.30 | 0.25 | 0.158 | 0.12 |
Nd | 0.23 | 0.23 | 0.144 | 0.12 |
Sm | 0.06 | 0.04 | 0.0289 | 0.03 |
ZrO | 0.58 | 1.03 | 0.8771 | 0.85 |
Cations | 13.83 | 13.720 | 4.19 | 4.16 |
Silicates
Silicate inclusions are common in all distinguished classes of gold nuggets.
Quartz
Quartz forms small (up to 2 μm in size), typically single inclusions in gold. However, in one nugget (G36) quartz was found in a two-phase inclusion associated with clinopyroxene.
Titanite (sphene)-inclusions and intergrowths
Titanite is found in polyphase inclusion and dominantly intergrown with gold, associated with amphibole, calcite, chlorite, clinopyroxene and Na-pyroxene, phlogopite and pentlandite (Fig. 8D). Titanite in the Guli gold nuggets contains up to 1.38 wt% FeO identical to those titanites in rocks of the alkaline suite (i.e. up to 2 wt% FeO) of the Guli Massif.
![Figure 6 Composition of clinopyroxene inclusions (full circles) compared to those in rocks of the alkaline suite of the Guli Massif (open circles). Classification of clinopyroxene [14].](/document/doi/10.1515/geo-2016-0016/asset/graphic/j_geo-2016-0016_fig_006.jpg)
Composition of clinopyroxene inclusions (full circles) compared to those in rocks of the alkaline suite of the Guli Massif (open circles). Classification of clinopyroxene [14].
![Figure 7 Composition of amphibole inclusions compared to those in rocks of the alkaline suite of the Guli massif (samples G28; Z2; Z3; Z4). Classification of amphibole [16].](/document/doi/10.1515/geo-2016-0016/asset/graphic/j_geo-2016-0016_fig_007.jpg)
Composition of amphibole inclusions compared to those in rocks of the alkaline suite of the Guli massif (samples G28; Z2; Z3; Z4). Classification of amphibole [16].

Microphotograph under reflected light (A; C; D; E; F) and backscattered image (G; H), showing typical inclusions in Au-nuggets.
Olivine
Olivine (50 μm in size) occurs intergrown with gold nuggets, associated with clinopyroxene and magnetite (Fig. 8A). The composition of olivine included in gold is characterized by Fo 84-88, somewhat lower than those from the dunites of the Guli Massif (i.e. Fo 84-93, [15], almost identical to those from the cumulate dunites enveloping the Guli dunite complex (i.e. Fo 84-87), but higher than the olivine Fo in melanephelinites from the alkaline suite (i.e. Fo 78-82). Cr-contents are very low (i.e. around 0.06 wt% Cr2O3), Ni up to 0.33 wt% NiO, MnO up to 0.3 wt% and CaO in the range of 0.24 wt%.
Clinopyroxenes
Clinopyroxenes are abundant mineral inclusions and are intergrown in/with the gold nuggets. Diopside (Mg# = 69-83) clearly predominates over augite (Mg# = 58-83) and aegirine (Figure 6, classification after Morimoto [14]). Most are mono-phase inclusions of diopside, subordi-nately augite and aegirine, rarely polyphase inclusions of diopside + olivine, diopside + serpentine + chlorite, diopside + magnetite + serpentine + chlorite occur (Fig. 8). Clinopyroxenes contain Ti and Al concentration (i.e. up to 4.23 wt% TiO2 and 4.18 wt% Al2O3), aegirine contains up to 13.1 wt% Na2O. The composition of clinopyroxene inclusions in the gold nuggets is identical to that in rocks of the alkaline suite of the Guli massif.
Amphibole
Amphiboles form quite common (although less abundant than clinopyroxene) inclusions and intergrowths with the gold nuggets. According to the amphibole classification [16], all amphiboles belong to the sodic-calcic and sodic-alkaline family, where katophorite, winchite-richterite and ribeckite-arfvedsonite series can be distinguished (Fig. 7). Amphibole inclusions are predominantly part of the richterite-arfvedsonite series, whereas those intergrown with gold belong to the ribeckite-arfvedsonite series. Amphibole inclusions are almost identical in composition compared with those from clinopyroxenite dykes and melanephelinites from the Guli massif, typical mineral assemblage occur in alkaline rocks [17].
Phlogopite
Phlogopite (around 3 μm in size) forms subordinate monophase inclusions in class II gold nuggets. Phlogopite shows TiO2 contents between 3.2 and 0.13 wt% and NiO from 0.85 to 0.18 wt%. The composition of phlogopite inclusions is identical, if compared to those from clinopyroxenite dykes and melanephelinites.
Other minerals
Melanite, as well as calcite and dolomite (around 2 μm in diameter) form accessory monophase inclusions in gold nuggets, apatite, plagioclase, and K-feldspar were found intergrown with gold.
Serpentine - Chlorite
Serpentine is dominantly intergrown with gold, and/or occurs together with clinopyroxene in polyphase inclusions. Serpentine intergrowths contain low concentrations of chromium and titanium (i.e. up to 0.17 wt% Cr2O3, and 0.18 wt% TiO2) and 0.68 wt% NiO. The content of aluminum and iron is about 4.83 wt% Al2O3 and 4.30-8.12 wt% FeO. Subordinately nepouite, with up to 32.3 wt% NiO, was found.
Chlorite displays very similar occurrence compared with that of serpentine. Chlorite intergrowths and inclusions contain low titanium and chromium (i.e. up to 0.19 wt% TiO2 and 0.10 wt% Cr2O3). Nickel concentrations are up to 2.6 wt% NiO).
Both serpentine and chlorite are considered as secondary minerals phases, although it is suggested (e.g. as with many monophase inclusions) that these minerals were generated already in the host rock, prior to nugget formation
REE-minerals
In nugget G21 (class II) two lath-shaped (width of the laths < 3 μm) REE containing minerals were found in polyphase inclusions. Zirkelite ((Ca, Th, Ce) Zr(Ti, Nb)2O7) is associated with chlorite (Figure 10-H), and chevkinite ((Ce, La, Ca, Na, Th)4 (Fe2+Mg)2 (Ti, Fe3+)3Si4O22) together with magnetite and biotite (Fig. 7G). Zirkelite inclusion revealed La and Sm concentrations from 1.0 to 1.2 wt% Sm2O3 and 0.6 to 0.7 wt% La2O3, respectively. The neodymium and cerium contents of zirkelite are 4.7 to 5.4 wt% Ce2O3, 4.7 to 5 wt% Nd2O3, respectively. Chevkinite contains a total REE concentration of 7.7 to 8.4 wt%, also dominated by Ce (i.e. 4 wt% Ce2O3).
Sulfide-inclusions
Sulnde inclusions are restricted to gold nugget classes I and II. They form inclusions only, except Pb, and are represented by spherically shaped dominated monophase, subordinately polyphase inclusions composed of different sulfide phases only (Table 6). Their size commonly does not exceed 10 μm. The abundance of sulfide inclusions with respect to the nugget classification is illustrated in Table 1. The following could be distinguished:
Chalcosine inclusion of 3.0 μm in size, in tetra-auricupride only.
Representative microprobe analyses of sulphide inclusion in gold nuggets.
Sample | SG25-1 | SG25-3 | SG32-1 | SG32-2 | SG44-1 | SG44-2 | SG48-1 | SG53-4 | SG71-4 | SG72-2 | SG77-2 | SG70-3 | ANSSG2-3 | ANSSG3-2 | ANSSG9-1 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wt% | |||||||||||||||
Fe | 0 | 0 | 0.03 | 0.02 | 61.79 | 36.85 | 0 | 0.04 | 0 | 26.06 | 7.82 | 0.07 | 3.38 | 9.71 | 30.6 |
Cu | 0.7 | 0 | 0 | 0.08 | 0 | 25.28 | 0 | 0 | 0.24 | 0 | 69.33 | 48.71 | 66.01 | 34.47 | |
S | 0 | 0 | 12.48 | 0 | 38.38 | 35.96 | 0.03 | 0.17 | 12.33 | 32.78 | 21.87 | 0.03 | 17.06 | 24.39 | 34.65 |
Pb | 30.04 | 99.3 | 86.98 | 0 | 0.17 | 0.01 | 0 | 0.04 | 1.29 | 0 | 0.15 | 1.61 | 0 | 0.06 | 0 |
Te | 0 | 0 | 0.28 | 31.33 | 0.08 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | 0 | 0 | 0 |
Sb | 62.45 | 0.85 | 0 | 0.03 | 0.04 | 0.04 | 60.05 | 0.88 | 3.9 | 0.41 | 0.07 | 42.33 | 0 | 0 | 0 |
As | 4.96 | 0 | 0.11 | 0 | 0 | 0 | 4.96 | 57.46 | 0 | 38.99 | 0 | 5.26 | 45.41 | 0 | 0 |
Ni | 0.02 | 0 | 0 | 0.01 | 0 | 0 | 34.93 | 41.32 | 30.21 | 0 | 0.05 | 1.01 | 15.52 | 0 | 0 |
Au | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Ag Bi | 0 | 0 | 0 | 68.53 | 0 | 0 | 0 | 0 | 0 51.26 | 0 0 | 0 0 | 0 0 | 0 | 0 | 0 |
Co | 0 | 0 | 0 | 0 | 17.69 | 0 | 0 | ||||||||
Zn | 0 | 0 | 0 | 0 | 0 | 0.03 | 0 | ||||||||
Tot | 97.54 | 100.15 | 99.88 | 100 | 100.46 | 98.23 | 99.97 | 99.91 | 99.23 | 98.3 | 99.29 | 99.02 | 99.06 | 100.2 | 99.48 |
At% | |||||||||||||||
Fe | 0 | 0 | 0.07 | 0.05 | 47.99 | 30.27 | 0 | 0.05 | 0 | 21.61 | 7.31 | 0.1 | 3.43 | 8.81 | 25.09 |
Cu | 0.15 | 0 | 0 | 0.15 | 0 | 18.25 | 0 | 0 | 0.32 | 0 | 56.96 | 63.27 | 52.61 | 25.05 | |
S | 0 | 0 | 47.87 | 0 | 51.93 | 51.45 | 0.08 | 0.36 | 32.41 | 47.35 | 35.62 | 0.08 | 30.18 | 38.54 | 49.08 |
Pb | 19.98 | 98.56 | 51.62 | 0 | 0.04 | 0.02 | 0 | 0.01 | 0.52 | 0 | 0.04 | 0.64 | 0.01 | 0 | |
Te | 0 | 0 | 0.27 | 27.81 | 0.03 | 0 | 0 | 0 | 0 | 0.02 | 0 | 0 | 0 | 0 | |
Sb | 70.7 | 1.44 | 0 | 0.02 | 0.01 | 0.02 | 42.69 | 0.49 | 2.7 | 0 | 0.03 | 28.7 | 0 | 0 | |
As | 9.12 | 0 | 0.18 | 0 | 0 | 0 | 5.73 | 51.67 | 0 | 0.25 | 0 | 5.79 | 34.37 | 0 | 0 |
Ni | 0.05 | 0 | 0 | 0.02 | 0 | 0 | 51.5 | 47.42 | 43.38 | 30.76 | 0.04 | 1.42 | 14.99 | 0 | 0 |
Au | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Ag Bi | 0 | 0 | 0 | 71.96 | 0 | 0 | 0 | 0 | 0 20.67 | 0 0 | 0 0 | 0 0 | 0 | 0 | |
Co | 0 | 0 | 0 | 0 | 17.02 | 0 | 0 | ||||||||
Zn | 0 | 0 | 0 | 0 | 0.02 | 0 | |||||||||
Tot | 100 | 100 | 100 | 100.01 | 100 | 100.01 | 100 | 100 | 100 | 99.99 | 100 | 100 | 100 | 100 | 100 |
Form | Sb2(Pb.As) | Pb | PbS | Ag2Te | FeS | CuFe1.65S2.8 | Ni(Sb.As) | NiAs | Ni3Bi2S2 | (Ni.Fe)9S8 | (Cu.Fe)2S | Cu2(Sb.As.Ni) | (Co.Ni)AsS | Cu5FeS4 | CuFeS2 |
Min | Paradokrasite | poor | Galena | Hessite | Pyhotite | Cubanite | Breithauptite | Nickeline | Parkerite | Pentlandite | Chacosine | Cuprostibite | Cobaltine | Bornite | chacopyrit |
Nickeline 2 μm in size, included in tetra-auricupride and in Au2Ag.
Pentlandite forms anhedral crystals up to 6.7 μm in size and occurs together with breithauptite and parkerite in the gold nuggets.
Breithauptite up to 10 μm in size with the composition NiSb. Antimony (Sb) is replaced by arsenic with up to 7.82 wt%.
Bornite, galena and hessite appear as mono phase sulfides with a size below 2.6 μm in a gold (Au1, 1Ag) nugget, excluding bornite which occurs below 20 μm in size.
Parkerite (around 1.4 μm in size) appears in AuAg nuggets, associated with breithauptite and pentlandite.
Chalcopyrite is the most common predominant monophase, rare polyphase (i.e. associated with pent-landite and pyrrhotite) sulfide inclusion.
Pure lead forms intergrowths with gold only, associated with magnetite, paradokrasite and cuprostibite.
Paradokrasite and cuprostibite are detected together with pure lead and magnetite, with sizes below 2 μm.
Representative microprobe analyses of mineral from host rocks.
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Probe | Z2-1 | Z2-2 | Z4-1 | Z4-2 | G28-1 | G28-3 | Z4-3 | G28-3 | Z2-3 | Z2-4 | Z3-1 | Z4-4 |
M. Name | amph | amph | amph | amph | cpx | cpx | cpx | grt | ol | ol | ol | ol |
SiO2 | 42.98 | 57.99 | 60.57 | 53.28 | 54.64 | 53.71 | 50.10 | 34.88 | 44.11 | 40.56 | 40.61 | 40.64 |
TiO2 | 4.06 | 0.33 | 0.16 | 1.01 | 4.33 | 0.35 | 1.99 | 4.10 | 0.02 | 0.06 | 0.08 | 0.10 |
Al2O3 | 8.98 | 0.29 | 0.08 | 3.12 | 0.33 | 0.13 | 1.82 | 1.71 | 0.00 | 0.00 | 0.00 | 0.09 |
Cr2O3 | 0.09 | 0.03 | 0.02 | 0.02 | 0.00 | 0.07 | 0.31 | 0.03 | 0.00 | 0.04 | 0.00 | 0.02 |
FeO | 14.68 | 1.55 | 1.70 | 6.18 | 26.60 | 3.30 | 5.29 | 24.67 | 13.93 | 18.20 | 18.63 | 17.97 |
MnO | 0.17 | 0.14 | 0.17 | 0.12 | 0.13 | 0.15 | 0.11 | 0.14 | 0.27 | 0.33 | 0.45 | 0.33 |
MgO | 10.38 | 23.39 | 22.32 | 18.10 | 0.89 | 16.20 | 15.20 | 0.69 | 42.05 | 38.94 | 42.70 | 41.45 |
NiO | 0.05 | 0.09 | 0.06 | 0.03 | 0.00 | 0.00 | 0.00 | 0.00 | 0.40 | 0.12 | 0.21 | 0.20 |
CaO | 10.11 | 5.68 | 4.27 | 7.18 | 0.61 | 25.52 | 23.71 | 32.29 | 0.25 | 0.12 | 0.19 | 0.24 |
Na2O | 3.56 | 6.05 | 6.72 | 6.66 | 13.39 | 0.46 | 0.38 | 0.10 | 0.00 | 0.00 | 0.00 | 0.07 |
K2O | 0.90 | 0.60 | 0.83 | 0.41 | 0.00 | 0.01 | 0.00 | 0.00 | 0.01 | 0.02 | 0.00 | 0.01 |
Total | 96.04 | 96.14 | 96.90 | 96.11 | 101.22 | 99.90 | 98.91 | 98.61 | 101.04 | 98.39 | 102.87 | 101.12 |
Oxy | 23 | 23 | 23 | 23 | 6 | 6 | 6 | 12 | 4 | 4 | 4 | 4 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Si | 6.55 | 8.05 | 8.29 | 7.64 | 2.013 | 1.98 | 1.88 | 2.92 | 1.08 | 1.05 | 1.01 | 1.02 |
Al | 1.45 | 0.05 | 0.01 | 0.36 | 0.0 | 0.02 | 0.12 | 0.08 | 0.00 | 0.00 | 0.00 | 0.00 |
Al | 0.17 | 0.00 | 0.00 | 0.17 | 0.014 | 0.02 | 0.00 | 0.09 | 0.00 | 0.00 | 0.00 | 0.00 |
Fe(iii) | 0.00 | 0.00 | 0.00 | 0.00 | 0.0 | 0.08 | 0.10 | 1.37 | 0.00 | 0.00 | 0.00 | 0.00 |
Cr | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Ti | 0.47 | 0.03 | 0.02 | 0.11 | 0.12 | 0.01 | 0.05 | 0.26 | 0.00 | 0.00 | 0.00 | 0.00 |
Fe(ii) | 1.87 | 0.18 | 0.19 | 0.74 | 0.819 | 0.02 | 0.07 | 0.35 | 0.28 | 0.39 | 0.39 | 0.38 |
Mn | 0.02 | 0.02 | 0.02 | 0.01 | 0.004 | 0.00 | 0.00 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 |
Mg | 2.36 | 4.84 | 4.55 | 3.87 | 0.049 | 0.89 | 0.85 | 0.09 | 1.53 | 1.50 | 1.58 | 1.55 |
Ni | 0.01 | 0.02 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.01 | 0.01 |
Ca | 1.65 | 0.84 | 0.63 | 1.10 | 0.024 | 1.01 | 0.95 | 2.89 | 0.01 | 0.00 | 0.01 | 0.01 |
Na | 1.05 | 1.63 | 1.78 | 1.85 | 0.956 | 0.03 | 0.03 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
K | 0.18 | 0.11 | 0.14 | 0.08 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Cations | 15.77 | 15.76 | 15.65 | 15.94 | 4.0 | 4.03 | 4.03 | 8.07 | 2.92 | 2.95 | 2.99 | 2.98 |
XMg | 55.76 | 96.42 | 95.90 | 83.93 | 5.95 | 89.32 | 83.78 | 84.33 | 79.23 | 80.34 | 80.44 |
13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Probe | G28-4 | G28-5 | Z3-2 | Z3-3 | Z3-4 | G28-6 | Z4-5 | Z2-5 | Z4-6 | Z2-6 | G28-7 | Z3-4 |
M. Name | sph | mt | chr | chr | ilm | per | serp | serp | phl | phl | phl | phl |
SiO2 | 32.77 | 0.07 | 0.09 | 0.09 | 0.03 | 0.08 | 45.89 | 44.55 | 39.61 | 41.13 | 42.42 | 42.45 |
TiO2 | 39.60 | 0.22 | 8.03 | 7.53 | 58.45 | 55.18 | 0.04 | 0.02 | 1.37 | 5.24 | 0.38 | 0.19 |
Al2O3 | 0.10 | 0.07 | 4.57 | 4.50 | 0.36 | 0.24 | 0.00 | 0.05 | 10.84 | 12.62 | 9.55 | 0.91 |
Cr2O3 | 0.00 | 0.15 | 21.02 | 22.65 | 0.04 | 0.00 | 0.00 | 0.00 | 0.00 | 0.05 | 0.02 | 0.02 |
FeO | 1.25 | 96.45 | 58.18 | 54.84 | 31.10 | 1.10 | 4.53 | 4.58 | 16.05 | 10.13 | 13.56 | 18.09 |
MnO | 0.02 | 0.24 | 0.37 | 0.37 | 8.04 | 0.09 | 0.17 | 0.00 | 0.42 | 0.10 | 0.62 | 0.12 |
MgO | 0.00 | 0.38 | 6.34 | 6.65 | 8.76 | 0.09 | 34.56 | 38.50 | 19.70 | 19.50 | 19.25 | 24.49 |
NiO | 0.03 | 0.10 | 0.18 | 0.29 | 0.00 | 0.05 | 0.17 | 0.00 | 0.09 | 0.06 | 0.05 | 0.00 |
CaO | 23.40 | 0.14 | 0.01 | 0.03 | 0.19 | 42.77 | 0.08 | 0.12 | 0.00 | 0.00 | 0.00 | 0.00 |
Na2O | 0.19 | 0.00 | 0.00 | 0.36 | 0.00 | 0.21 | 0.06 | 0.06 | 0.20 | 1.13 | 0.12 | 0.35 |
K2O | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.02 | 0.23 | 0.02 | 8.16 | 7.55 | 9.45 | 6.41 |
Total | 97.63 | 97.82 | 98.80 | 97.32 | 106.97 | 99.83 | 85.73 | 87.90 | 96.44 | 97.51 | 95.42 | 93.03 |
Oxy | 5 | 32 | 32 | 32 | 6 | 6 | 28 | 28 | 22 | 22 | 22 | 22 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Si | 1.05 | 0.04 | 0.02 | 0.03 | 0.00 | 0.00 | 8.69 | 8.28 | 5.84 | 5.80 | 6.26 | 6.53 |
Al | 0.00 | 0.05 | 1.49 | 1.48 | 0.02 | 0.01 | 0.00 | 0.01 | 1.88 | 2.10 | 1.66 | 0.17 |
Al | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Fe(iii) | 0.04 | 9.98 | 10.20 | 10.20 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Cr | 0.00 | 0.08 | 4.59 | 4.98 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Ti | 0.94 | 0.11 | 1.67 | 1.58 | 1.96 | 0.00 | 0.01 | 0.00 | 0.15 | 0.56 | 0.04 | 0.02 |
Fe(ii) | 0.00 | 13.06 | 3.24 | 2.56 | 1.16 | 1.90 | 0.72 | 0.71 | 1.98 | 1.19 | 1.67 | 2.33 |
Mn | 0.00 | 0.13 | 0.09 | 0.09 | 0.30 | 0.04 | 0.03 | 0.00 | 0.05 | 0.01 | 0.08 | 0.02 |
Mg | 0.00 | 0.36 | 2.61 | 2.76 | 0.58 | 0.00 | 9.76 | 10.67 | 4.33 | 4.10 | 4.23 | 5.62 |
Ni | 0.00 | 0.09 | 0.07 | 0.12 | 0.00 | 0.01 | 0.05 | 0.00 | 0.02 | 0.01 | 0.01 | 0.00 |
Ca | 0.96 | 0.10 | 0.00 | 0.01 | 0.01 | 0.00 | 0.02 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 |
Na | 0.04 | 0.00 | 0.00 | 0.19 | 0.00 | 2.10 | 0.02 | 0.02 | 0.06 | 0.31 | 0.03 | 0.10 |
K | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.06 | 0.00 | 1.54 | 1.36 | 1.78 | 1.26 |
Cations | 3.03 | 24.00 | 24.00 | 24.00 | 4.03 | 0.00 | 19.34 | 19.72 | 15.86 | 15.43 | 15.77 | 16.04 |
XMg | 33.43 | 4.10 | 93.15 | 93.74 | 68.64 | 77.44 | 71.68 | 70.71 |
7 Conclusion
The main part of the gold inclusions consist the mineral phases clinopyroxene, aegirine, amphibole, phlogopite, spinelle ilmenite, perovskite and sulphide (Table 2). This minerals assemblage (i.e. sphene associated with amphibole, calcite, chlorite, clinopyroxene and Na-pyroxene, phlogopite, and pentlandite (Fig 8D) is typical for alkali-ultramafic sequence in form of veins and schlieres in cumulate ultramafic series.
The chemistry of determined solid inclusions in gold nuggets and the mineral phases in carbonatit-alkali-ultramafic show a very similar.
Sulphide inclusions in gold exclude the possible formation of the gold under sedimentary conditions.
A large number of the paragenesis: olivine clinopyroxene gold and chromite gold are typical and known from alkali-ultramafic rocks.
Furthermore suggests (it can be concluded), that means gold source from alkali-ultramafic sequence can be obtained.
References
[1] Malitch K.N., Kostoyanov A.I., Model Re-Os isotopic age of PGE mineralisation of Guli Massif (at the Northern Siberian Platform, Russia). Geology of ore Deposits., 1999, 41,1089-1092.Search in Google Scholar
[2] Dvorani S.N, Thalhammer O.A.R., Loidl G.C., Significance and derivation of Au-nuggets from the Guli massif, northern Siberia Russia. PLA TINUM 10th INTERNATIONAL Symposium. Geological Survey of Finland ESPO 2005.ISBN 951-690-931-0. Finland, Oulu, 2005, 319-321.Search in Google Scholar
[3] Dvorani S.N., Genesis and derivation of Au-nuggets from the Guli massiv, northern Siberia, Russia: a multidisciplinary mineralogical and geochemical study., Mitteilungen der Österreichischen Mineralogischen Gesellschaft., 2009,155, 235-237.Search in Google Scholar
[4] Malitch K.N., Lopatin G.G., New data on the metallogeny of the unique Guli clinopyronite-dunite Massif. Geology of ore Deposits., 1997, 39, 3, 209-218.Search in Google Scholar
[5] Malitch K.N., Platinoid placer of the Ingarinda River, Northern part of East Siberia, Transactions (Doklady) of Russian Academy of Science., Earth Science Sections., 1996, 349, 5, 723-727.Search in Google Scholar
[6] Malitch K.N., Auge T., The composition of Inclusions in Osmium Minerals as an Indicator of the Formation Conditions of the Gule Ultrabasic Massif, Earth Science., 1998, 361A, 888-890.Search in Google Scholar
[7] Malitch K.N., Thalhammer O.A.R., Knauf V.V., Melcher F., Diversity of platinium-group mineral assemblage in banded and podiform chromitites from the Kraubath ultramafic massif, Austria: evidence for an ophiolitic transitional zone. Mineralium Deposita., 2002,38, 282-97.10.1007/s00126-002-0308-1Search in Google Scholar
[8] Tishchenko E.I, Tishchenko M.D., Coeficient of flatness of gold in placers., Razvedka Okhrana Nedr., 3,1974, 52-54.Search in Google Scholar
[9] Tishchenko E.I., The problem of evolution of gold-flake flattering in alluvial placers. Soviet Geology and Geophysics., 1981, 22, 28-33.Search in Google Scholar
[10] Youngson J.H., Crew D., Variation in Placer Style, Gold Morphology and Gold Particle Behavior Down Gravel Bed Rivers. An Example from Bed-Load River System, Otago, New Zealand, Economic Geology., 1999, 94, 615-634.10.2113/gsecongeo.94.5.615Search in Google Scholar
[11] Bonev I., Kerestedjian K., Anatassova R., Colin J. Andrew., Morphogenesis and composition of native gold in the Chelopech volcanic-hosted Au-Cu epithermal deposits, Srednogorie zone Bullgaria. Mineralium Deposita., 2002, 37, 614-629.10.1007/s00126-002-0273-8Search in Google Scholar
[12] Krumbein W.C., Sloss L.L., Freeman Anregende Darstellungen der Untersuchungsmethoden von Sedimentgesteinen-Geländeuntersuchungen, Fazies Kartierung, einfache, didak-tisch gute Beschreibung der Sedimentationsprinzipen. Stratigraphy and Sedimentation. 2. Aufl., 660 S San Francisko-London, 1963.Search in Google Scholar
[13] SazanovA.M., Romanovskii A.E., Grineva O.M., LavrentevYu. G., Mairiova O.N., Popsoleva L.N., Noble Metal Mineralization of the Guli intrusion (Siberian Platform), Geolegy Geophysical., 1994, 9, 51-65.Search in Google Scholar
[14] Morimoto N., Nomenclature of Pyroxenes. Mineralogy and Petrology., 1988, 39, 55-76.10.1007/BF01226262Search in Google Scholar
[15] McKelson J.F., Thalhammer O.A.R., Loidl G., The dunite complex of the Guli Massif, northern Siberia, Russia: multidisciplinary study., Mitteilungen der Österreichischen Mineralogischen Gesellschaft., 2005,15, 91-95.Search in Google Scholar
[16] Platt R.G., Wolley A.R., The mafic mineralogy of the peralkaline syenites and granites of the Mulanje complex, Malawi. Miner-alogical Magazine., 1986, 50, 85-99.10.1180/minmag.1986.050.355.12Search in Google Scholar
[17] Chakhmouradian A.R., Zaitsev A., Calcite-Amphibole-Clinopyroxene rock from the Africanda complex, Kola Peninsula, Russia.Mineralogy and a possible link to carbonatites. III. Silicate Minerals. The Canadian Mineralogist., 2002, 40,1347-1374.10.2113/gscanmin.40.5.1347Search in Google Scholar
© S. N. Dvorani, published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Articles in the same Issue
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- A Special Issue: Geomathematics in practice: Case studies from earth- and environmental sciences – Proceedings of the Croatian-Hungarian Geomathematical Congress, Hungary 2015
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Modelling of maturation, expulsion and accumulation of bacterial methane within Ravneš Member (Pliocene age), Croatia onshore
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Volume calculation of subsurface structures and traps in hydrocarbon exploration — a comparison between numerical integration and cell based models
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Revisiting the applications of drainage capillary pressure curves in water-wet hydrocarbon systems
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Evaluation and optimization of multi-lateral wells using MODFLOW unstructured grids
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Markov chains and entropy tests in genetic-based lithofacies analysis of deep-water clastic depositional systems
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- The application of multivariate data analysis in the interpretation of engineering geological parameters
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Effects of the introduction of pre-treated wastewater in a shallow lake reed stand
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Detecting breakpoints in artificially modified- and real-life time series using three state-of-the-art methods
- Regular Articles
- Model application for rapid detection of the exact location when calling an ambulance using OGC Open GeoSMS Standards
- Regular Articles
- Dynamics of gully side erosion: a case study using tree roots exposure data
- Regular Articles
- The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea
- Regular Articles
- Effects of land use on chemical water quality of three small streams in Budapest
- Regular Articles
- Identification of mineralized zones in the Zardu area, Kushk SEDEX deposit (Central Iran), based on geological and multifractal modeling
- Regular Articles
- Micro-scale hydrological field experiments in Romania
- Regular Articles
- Integrated Seismic Survey for Detecting Landslide Effects on High Speed Rail Line at Istanbul–Turkey
- Regular Articles
- Environmental impact of the Midia Port - Black Sea (Romania), on the coastal sediment quality
- Regular Articles
- Solid Inclusions in Au-nuggets, genesis and derivation from alkaline rocks of the Guli Massif, Northern Siberia
- Regular Articles
- Circulation types classification for hourly precipitation events in Lublin (East Poland)
- Regular Articles
- Small-scale human-biometeorological impacts of shading by a large tree
- Regular Articles
- The risk of collapse in abandoned mine sites: the issue of data uncertainty
- Regular Articles
- Clay mineralogy of the Boda Claystone Formation (Mecsek Mts., SW Hungary)
- Regular Articles
- Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)
- Regular Articles
- Campgrounds Suitability Evaluation Using GIS-based Multiple Criteria Decision Analysis: A Case Study of Kuerdening, China
- Regular Articles
- Relationship between landform classification and vegetation (case study: southwest of Fars province, Iran)
- Regular Articles
- Application of multivariate storage model to quantify trends in seasonally frozen soil
- Regular Articles
- Enriching and improving the quality of linked data with GIS
- Regular Articles
- Usability evaluation of centered time cartograms
- Regular Articles
- Modeling of landslide volume estimation
- Regular Articles
- Modelling the geomorphic history of the Tribeč Mts. and the Pohronský Inovec Mts. (Western Carpathians) with the CHILD model
- Regular Articles
- Črvenka loess-paleosol sequence revisited: local and regional Quaternary biogeographical inferences of the southern Carpathian Basin
- Regular Articles
- Preliminary paleoecological reconstruction of long-term relationship between human and environment in the northern part of Danube-along Plain, Hungary
- Regular Articles
- Analytical fundamentals of migration in reflection seismics
- Regular Articles
- Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Incidence angle normalization of Wide Swath SAR data for oceanographic applications
- Regular Articles
- Assessment of future scenarios for wind erosion sensitivity changes based on ALADIN and REMO regional climate model simulation data
- Regular Articles
- Wavelet analysis of low-frequency variability in oak tree-ring chronologies from east Central Europe
- Regular Articles
- Geostatistical study of spatial correlations of lead and zinc concentration in urban reservoir. Study case Czerniakowskie Lake, Warsaw, Poland
- Regular Articles
- An interactive tool for semi-automatic feature extraction of hyperspectral data
- Regular Articles
- Structural composition of organic matter in particle-size fractions of soils along a climo-biosequence in the main range of Peninsular Malaysia
- Regular Articles
- Tilt offset associated with local seismicity: the Mt. Etna January 9, 2001 seismic swarm.
- Regular Articles
- An improved method for estimating in situ stress in an elastic rock mass and its engineering application
- Regular Articles
- NEHRP Site Classification and Preliminary Soil Amplification Maps of Lamphun City, Northern Thailand
- Regular Articles
- Spatial Analysis of b-value Variability in Armutlu Peninsula (NW Turkey)
- Regular Articles
- Linked Forests: Semantic similarity of geographical concepts “forest”
- Regular Articles
- The Uniqueness of Planktonic Ecosystems in the Mediterranean Sea: The Response to Orbital- and Suborbital-Climatic Forcing over the Last 130,000 Years
- Regular Articles
- The current state of the creation and modernization of national geodetic and cartographic resources in Poland
- Regular Articles
- Variability of seasonal and annual precipitation in Slovenia and its correlation with large-scale atmospheric circulation
- Regular Articles
- Mineralogical and chemical characteristics of a powder and purified quartz from Yunnan Province
- Regular Articles
- Geometry, kinematics and dynamic characteristics of a compound transfer zone: the Dongying anticline, Bohai Bay Basin, eastern China
- Regular Articles
- Determination of aquifer parameters using geoelectrical sounding and pumping test data in Khanewal District, Pakistan
- Regular Articles
- Post-Earthquake People Loss Evaluation Based on Seismic Multi-Level Hybrid Grid: A Case Study on Yushu Ms 7.1 Earthquake in China
- Regular Articles
- Dem Local Accuracy Patterns in Land-Use/Land-Cover Classification
- Regular Articles
- Dynamics of development and variability of surface degradation in the subalpine and alpine zones (an example from the Velká Fatra Mts., Slovakia)
- Regular Articles
- Relationship between high-frequency sediment-level oscillations in the swash zone and inner surf zone wave characteristics under calm wave conditions
- Regular Articles
- Uncertainty assessment based on scenarios derived from static connectivity metrics
- Regular Articles
- Re-discussion on the detrital zircon provenance of the lower Yanchang Formation in the southern Ordos Basin
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Maritime Spatial Planning in Cyprus
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Digital mapping of corrosion risk in coastal urban areas using remote sensing and structural condition assessment: case study in cyprus
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- A Proposal of a Mass Appraisal System in Greece with CAMA System: Evaluating GWR and MRA techniques in Thessaloniki Municipality
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Integrating weather and geotechnical monitoring data for assessing the stability of large scale surface mining operations
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Detection of olive oil mill waste (OOMW) disposal areas using high resolution GeoEye’s OrbView-3 and Google Earth images
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- FLIRE DSS: A web tool for the management of floods and wildfires in urban and periurban areas
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- A hybrid downscaling approach for the estimation of climate change effects on droughts using a geo-information tool. Case study: Thessaly, Central Greece
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia
Articles in the same Issue
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- A Special Issue: Geomathematics in practice: Case studies from earth- and environmental sciences – Proceedings of the Croatian-Hungarian Geomathematical Congress, Hungary 2015
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Modelling of maturation, expulsion and accumulation of bacterial methane within Ravneš Member (Pliocene age), Croatia onshore
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Volume calculation of subsurface structures and traps in hydrocarbon exploration — a comparison between numerical integration and cell based models
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Revisiting the applications of drainage capillary pressure curves in water-wet hydrocarbon systems
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Evaluation and optimization of multi-lateral wells using MODFLOW unstructured grids
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Markov chains and entropy tests in genetic-based lithofacies analysis of deep-water clastic depositional systems
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- The application of multivariate data analysis in the interpretation of engineering geological parameters
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Effects of the introduction of pre-treated wastewater in a shallow lake reed stand
- Special issue: Geomathematical and geostatistical models in geological and environmental case studies
- Detecting breakpoints in artificially modified- and real-life time series using three state-of-the-art methods
- Regular Articles
- Model application for rapid detection of the exact location when calling an ambulance using OGC Open GeoSMS Standards
- Regular Articles
- Dynamics of gully side erosion: a case study using tree roots exposure data
- Regular Articles
- The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea
- Regular Articles
- Effects of land use on chemical water quality of three small streams in Budapest
- Regular Articles
- Identification of mineralized zones in the Zardu area, Kushk SEDEX deposit (Central Iran), based on geological and multifractal modeling
- Regular Articles
- Micro-scale hydrological field experiments in Romania
- Regular Articles
- Integrated Seismic Survey for Detecting Landslide Effects on High Speed Rail Line at Istanbul–Turkey
- Regular Articles
- Environmental impact of the Midia Port - Black Sea (Romania), on the coastal sediment quality
- Regular Articles
- Solid Inclusions in Au-nuggets, genesis and derivation from alkaline rocks of the Guli Massif, Northern Siberia
- Regular Articles
- Circulation types classification for hourly precipitation events in Lublin (East Poland)
- Regular Articles
- Small-scale human-biometeorological impacts of shading by a large tree
- Regular Articles
- The risk of collapse in abandoned mine sites: the issue of data uncertainty
- Regular Articles
- Clay mineralogy of the Boda Claystone Formation (Mecsek Mts., SW Hungary)
- Regular Articles
- Mathematical aspects of the kriging applied on landslide in Halenkovice (Czech Republic)
- Regular Articles
- Campgrounds Suitability Evaluation Using GIS-based Multiple Criteria Decision Analysis: A Case Study of Kuerdening, China
- Regular Articles
- Relationship between landform classification and vegetation (case study: southwest of Fars province, Iran)
- Regular Articles
- Application of multivariate storage model to quantify trends in seasonally frozen soil
- Regular Articles
- Enriching and improving the quality of linked data with GIS
- Regular Articles
- Usability evaluation of centered time cartograms
- Regular Articles
- Modeling of landslide volume estimation
- Regular Articles
- Modelling the geomorphic history of the Tribeč Mts. and the Pohronský Inovec Mts. (Western Carpathians) with the CHILD model
- Regular Articles
- Črvenka loess-paleosol sequence revisited: local and regional Quaternary biogeographical inferences of the southern Carpathian Basin
- Regular Articles
- Preliminary paleoecological reconstruction of long-term relationship between human and environment in the northern part of Danube-along Plain, Hungary
- Regular Articles
- Analytical fundamentals of migration in reflection seismics
- Regular Articles
- Geohazards (floods and landslides) in the Ndop plain, Cameroon volcanic line
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Incidence angle normalization of Wide Swath SAR data for oceanographic applications
- Regular Articles
- Assessment of future scenarios for wind erosion sensitivity changes based on ALADIN and REMO regional climate model simulation data
- Regular Articles
- Wavelet analysis of low-frequency variability in oak tree-ring chronologies from east Central Europe
- Regular Articles
- Geostatistical study of spatial correlations of lead and zinc concentration in urban reservoir. Study case Czerniakowskie Lake, Warsaw, Poland
- Regular Articles
- An interactive tool for semi-automatic feature extraction of hyperspectral data
- Regular Articles
- Structural composition of organic matter in particle-size fractions of soils along a climo-biosequence in the main range of Peninsular Malaysia
- Regular Articles
- Tilt offset associated with local seismicity: the Mt. Etna January 9, 2001 seismic swarm.
- Regular Articles
- An improved method for estimating in situ stress in an elastic rock mass and its engineering application
- Regular Articles
- NEHRP Site Classification and Preliminary Soil Amplification Maps of Lamphun City, Northern Thailand
- Regular Articles
- Spatial Analysis of b-value Variability in Armutlu Peninsula (NW Turkey)
- Regular Articles
- Linked Forests: Semantic similarity of geographical concepts “forest”
- Regular Articles
- The Uniqueness of Planktonic Ecosystems in the Mediterranean Sea: The Response to Orbital- and Suborbital-Climatic Forcing over the Last 130,000 Years
- Regular Articles
- The current state of the creation and modernization of national geodetic and cartographic resources in Poland
- Regular Articles
- Variability of seasonal and annual precipitation in Slovenia and its correlation with large-scale atmospheric circulation
- Regular Articles
- Mineralogical and chemical characteristics of a powder and purified quartz from Yunnan Province
- Regular Articles
- Geometry, kinematics and dynamic characteristics of a compound transfer zone: the Dongying anticline, Bohai Bay Basin, eastern China
- Regular Articles
- Determination of aquifer parameters using geoelectrical sounding and pumping test data in Khanewal District, Pakistan
- Regular Articles
- Post-Earthquake People Loss Evaluation Based on Seismic Multi-Level Hybrid Grid: A Case Study on Yushu Ms 7.1 Earthquake in China
- Regular Articles
- Dem Local Accuracy Patterns in Land-Use/Land-Cover Classification
- Regular Articles
- Dynamics of development and variability of surface degradation in the subalpine and alpine zones (an example from the Velká Fatra Mts., Slovakia)
- Regular Articles
- Relationship between high-frequency sediment-level oscillations in the swash zone and inner surf zone wave characteristics under calm wave conditions
- Regular Articles
- Uncertainty assessment based on scenarios derived from static connectivity metrics
- Regular Articles
- Re-discussion on the detrital zircon provenance of the lower Yanchang Formation in the southern Ordos Basin
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Maritime Spatial Planning in Cyprus
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Digital mapping of corrosion risk in coastal urban areas using remote sensing and structural condition assessment: case study in cyprus
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- A Proposal of a Mass Appraisal System in Greece with CAMA System: Evaluating GWR and MRA techniques in Thessaloniki Municipality
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Integrating weather and geotechnical monitoring data for assessing the stability of large scale surface mining operations
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Detection of olive oil mill waste (OOMW) disposal areas using high resolution GeoEye’s OrbView-3 and Google Earth images
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- FLIRE DSS: A web tool for the management of floods and wildfires in urban and periurban areas
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- A hybrid downscaling approach for the estimation of climate change effects on droughts using a geo-information tool. Case study: Thessaly, Central Greece
- Special Issue: Applications and Research Trends in Remote Sensing and Geoinformation - Third International Conference on Remote Sensing and Geoinformation of Environment - RSCy2015
- Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia