CONTINENTAL FLOOD BASALTS (EMEISHAN FlOOD BASALT) Author: Q. Kalimashe (219325731) Module: Code: GGL412 Assignment no.: 1 Year: 2023 1 Contents Introduction ................................................................................................................................................. 3 Geological Background................................................................................................................................. 4 Methodology ................................................................................................................................................ 5 Results .......................................................................................................................................................... 9 Discussion .................................................................................................................................................. 15 Reference ................................................................................................................................................... 17 List of Figures Figure 1: (a) Reconstruction of Pangea during Middle – Late Permian. (b) Distribution of Emeishan flood basalts in SW China in a rhombic pattern and (c) shows a map of the Sichuan basin that was intruded by the Emeishan basalts on the southwestern side. ............................................................................................ 4 Figure 2: Harker diagrams of major elements plotted against MgO to show the evolution of magma during the early stages of crystallization. The plutonic trends of the TiO2, P2O5 and FeO graphs show the presence of cumulates in the study area. ....................................................................................................... 9 Figure 3 Harker diagrams of major elements plotted against SiO2 to show the evolution of magma during the late stages of crystallization. The plutonic trends of the TiO and FeO graphs indicate the presence of cumulates in the study area. ........................................................................................................................ 10 Figure 4: TiO2 vs Zr plot(s) showing two distinct trends (left) and the high Ti and low Ti (right). .......... 12 Figure 5: Rare earth elements in ELIP representing the high Ti (Left) and low Ti (Right) clusters. ......... 12 Figure 6: Rare earth elements in ELIP representing the high Ti (Left), low Ti (Middle) and very low Ti (Right) clusters. ........................................................................................................................................... 13 Figure 7: Diagrams showing trace element trends in High (Left), Low (Middle) and very Low (Right) Ti basalts of the study area .............................................................................................................................. 13 Figure 8 ....................................................................................................................................................... 14 2 Introduction Large igneous provinces (LIP) are geological structures that form from rapid and voluminous eruptions and are usually as a result of rising mantle plumes from the deep interior of the Earth and upwelling beneath the base of the lithosphere. These provinces hosts minerals and hydrocarbons and an important role in events such as continent break up, mass extinctions and environmental catastrophes. Emeishan Flood Basalts (EFB) /Emeishan large igneous province (ELIP) is one of the well-studied large igneous provinces, it is located in Southwestern China and it extends over a rhombic area of approximately 2.5 x 105 km2. The thickness of the of the basalts range from 5000m in the west to several hundred meters in the east. After numerous studies on the geochemistry, geochronology, geophysics, crustal uplift and paleo environment, it has been widely accepted that the province originated from a mantle plume and that it erupted approximately 245 million years ago, this coincides with the Gaudalupian mass extinction. The geochemistry of these provinces are usually well studied to better understand the areas. In this paper, the major elements found in EFB were plotted against magnesium oxide and silicate oxide to study the evolution of magma of this area. The magma was then divided into high Ti and Low Ti, these magmas were then analyzed for the rare earth and trace elements present in them. Lastly, the rocks were dated using the most common dating method, U – Pb in zircons. The results obtained from all these analysis provided a better understanding of the study area. The aims of this study are to: 1. Study tthe evolution of magma using Harker diagrams 2. Characterize the degree of melting, depletion of the mantle source and determine if Garnet was present in the mantle source using rare earth elements. 3. Characterize metasomatism and contamination (if there was any) using trace elements 4. Date the basalts using U – Pb in zircons. 3 Figure 1: (a) Reconstruction of Pangea during Middle – Late Permian. (b) Distribution of Emeishan flood basalts in SW China in a rhombic pattern and (c) shows a map of the Sichuan basin that was intruded by the Emeishan basalts on the southwestern side. Geological Background The Emeishan basalts lie on the western edge of the Yangtze Craton, South Western China with the Longmenshan thrust and the Ailaoshan – Red river slip fault as its northwestern and Southwestern boundaries, respectively (Figure 1). Geochronological studies suggested that the emplacement of the province was initiated in the Late Permian (259 Ma) with a rapid eruption that lasted for, approximately, 2 Ma in the main parts of the province. The initiation was widely attributed to a mantle plume and the supporting evidence (such as rapid emplacement, voluminous flood basalt eruptions and high mantle potential temperature estimates) was extracted from geochemical, geological and geophysical studies. ……… believed that the origin of the EB was a rift origin, however, ………. Argued that if the EB were because of a rift origin the rift should be much larger today. Also, studies showed that the earth’s surface was uplifted by more than 1300 m in the center before the EB erupted and this was far more powerful than a rift could’ve been. 4 Emeishan basalts uncomfortably overlies the late Permian – middle Permian carbonation formations such Maokou limestones, these formations belonged to polycyclic superimposed sedimentary basin called the Sichuan basin. The basin was formed on the Precambrian crystalline basement, it had 19 formations with the main formations being the Maokou, Longtan and Changxing formations. The depositional environment of these formations was predominantly open and shallow water. The basin was accommodated in the lower marine carbonate sequence (from Neoproterozoic – Middle Triassic) and the upper continental clastic sequence from the late Triassic to Eocene. Several localized outcrops of the Permian basalts were reported in the southwestern and central areas of Sichuan basin. Biostratigraphic correlations of the Maokou limestones suggested that a significant crustal doming and surface uplift resulted from the impingement of the plume head on the lithosphere. The doming area was divided into inner (Panxi region), intermediate and outer zones based on the extensiveness of erosion and surface uplift. The inner zone had the thickest crust which then progressively thinned from the intermediate to the outer zone. Furthermore, …………. Reported that the NE basalts were different from the western basalts, this suggested that the basalts could have originated from heterogonous mantle sources with varying degrees of crustal contamination. Recent studied suggested that the carbon and sulfur that were degassing from the Emeishan mantle plume contributed to the end of the Gaudalupian abrupt climatic changes and mass extinction event. These suggestions conformed to the age of that this province is the world’s largest host of Fe – Ti – V oxide mineral deposits and an important host of Ni – Cu – (PGE) sulphides. In the inner zone there are abundant giant orthomagnatic Fe – Ti V oxide deposits which contribute to 35.2% and 6.7% of the total global production of these metals. Studies showed that there were economical and sub economical Ni – Cu – (PGE) and PGE deposits in the inner and outer zones. Methodology In this study, secondary data was used to study the Emeishan large Igneous Province. The data was collected from the website GEOROC (https://georoc.eu/georoc/new-start.asp) and this was done by opening a folder titled “Precompiled files”, then the “locations” folder and lastly, the “continental flood basalts” folder. In this folder an excel file named “2023-03WSTPOX_EMEISHAN.csv” was downloaded. The file was launched in excel, all of the data was the first column and this was fixed by marking the first column then clicking on “text to column”, under the data tab, then “delimited” on the first page and “next” on the last page. This was followed by copying the “Unique ID” and pasting it in column A. Data Sorting and Screening For sorting and screening of the data, a new sheet (called working sheet 1) was created and data was copied from the raw data sheet and pasted onto this sheet. This was done to have backup of the raw data in case the data was manipulated incorrectly. In working sheet 1, the abbreviations and references in row 2418 and 2420 – 2521, respectively, were deleted. The second step was sorting the data according to the rock type column, this was followed by deleting 60 sedimentary 5 samples, 1 vein and 86 metamorphic samples, leaving only the plutonic and volcanic samples behind. The columns titled “location, latitude min, latitude max, land or sea, elevation max, sample name, min age (yrs), max age (yrs), geol, eruption data and drilling data (X – AB)” were hidden, this was done because this data wasn’t useful for the analysis of this study so removing hiding it helped minimize the data on the working sheet and to avoid any confusions. The Unique ID column was copied and pasted in column A. Data recalculation In this part of the assignment, a new column with the heading “FeOT was recalculated” was created and Iron oxide was recalculated using the IF function: IF(AJ2>0,AJ2,AI2+(AH2*0.899)) Then another column with the heading “test major’’ was created at the end of the major elements And the following test was used for the whole column: AND(AC3>0,AH3>0,AL21,AM3>0) Following this the data from the column titled “H2O” to “LOI (wt%)” were shifted to the right and major elements were coped and pasted (with values) in this space. The columns with B2O3, NiO, Al2O3, Fe2O3, FeO and FeOT were deleted. Then another column labelled “total” this column was used to calculate the total of the major elements using the SUM function =SUM(AT2:BC2) 9 new columns were inserted to recalculate the major elements, this was done by using the formula: =(AT2/$BD2)*100 And the sum of these recalculated major elements was calculated in the last column using the SUM function (values were 100). Harker diagrams The first step here was to create a Harker diagram, using data from the sheet called “working sheet 1”. SiO2 was on the x – axis and MgO was on the y – axis. From this data a limit was chosen at SiO2 40 wt%. The data was then sorted out as a function of SiO2 recalculated and the samples with a SiO2 concentration that was ≥ 40 were selected (138 samples) and sorted as a function of rock type. In the selected samples, the plutonic and volcanic samples were highlighted with different colors and they were plotted on scatter plots (Harker diagrams) as two different series. For the 8 major elements, a SiO2 and MgO Harker diagram was created (these diagrams were plotted on a new sheet renamed “Graphs”). The graphs were copied and pasted in PowerPoint where they were edited to make them look presentable. 6 Trace elements and Rare earth elements A new limit at 5 MgO wt% in the MgO vs TiO2 Harker diagram was chosen. A new worksheet called “working sheet 2” was created. Data was copied from working sheet 1 and pasted on that sheet. The sheet was then sorted according to MgO. From this data, a new diagram of TiO2 vs MgO was created. The graph had 2 distinct trends, a trendline was added and its formula was added. The plotted samples were sorted as a function of Zr. and a new column (test 1) was created, in this column x from the trendline formula was calculated. Then another column for test 2 was created where the value of zr was subtracted from test 1. The next step was sorting the data as a function of test 2 and separating the positive values (in blue) from the negative values (by highlighting them green). From this plot, two distinct clusters were identified, one at 3 – 5 wt% TiO2 and 200 – 500 wt% Zr and the second cluster 1 – 2 wt% TiO2. The clusters were classified as high Ti and low Ti respectively. The data was sorted according to Zr and the samples that fall within the selected ranges were plotted on a diagram. For the high cluster, after selected 3 – 5 wt% TiO2 the selected data (high cluster) was sorted as a function of Zr and only samples within 200 – 500 wt % zr were plotted as the high cluster. For the rare earth elements and trace elements, a new worksheet was created (normalizing worksheet). The first thing was to sort out the trace elements in this sheet by creating 27 new columns and the data was copied from the disordered data and pasted in the new columns in the right order. The rest of the trace elements (excluding REE) and duplicated columns were deleted. The next step was to normalize the data, this was done by creating 27 new column again and using the primitive mantle composition (provided in moodle): =BS6/FA$4 Using the normalized data, a few samples of high Ti, low Ti and Vwet low Ti were plotted in three different diagrams for the trace elements and REE. The y axis were set to be logarithmic scale and the diagrams were pasted on PowerPoint for further editing. Isotopes Data was collected from the website GEOROC and this data was “fixed as explain above”. The next step was to calculate 206Pb/238U and 207Pb/235U using the equation: t=𝜆 1 206 𝑃𝑏 206 ln ( 𝑈 238 + 1) = 𝜆 1 207 𝑃𝑏 207 ln ( 𝑈 235 + 1) For a range of age from 500 000 000 million years to 4000 000 000. Then the Zircon data was plotted on this graph and it plotted within the range of 240 – 280 million years ago and because of this, a new graph was plotted and which ranged from 200 000 000 million years to 400 000 000. The graph has increments of 20 000 000 from 200 000 000 to 500 000 000 million years, this was zone to zoom in on the area where the data plotted from to allow more accurate dating results. 7 8 Results The evolution of magma in the Emeishan igneous province was shown by the SiO2 and MgO Harker diagrams in figure 1 and 2 below. The MgO diagrams ranged from 30 wt% to 0 wt% with an uneven sample distribution while the SiO2 diagrams ranged from 40 – 80 wt% with an uneven distribution as well. There seemed to be two main cluster points on both sets of diagrams, for the MgO diagrams majority of the samples plotted from MgO 10 – 4 wt% (only 17% of the range) resulting in the formation of felsic clusters, while the remaining few samples plotted from 30 wt% to 10 wt%, a much bigger range, and were evenly distributed across the mafic range. Conversely, for the SiO2 diagrams majority of the samples formed a big cluster at SiO2 40 – 55 wt% suggesting a mafic magma and fewer samples plotted 65 – 80 wt% thus suggesting a less felsic magma. On both sets of diagrams, the volcanic data showed narrow trends, indicating that the major elements have similar parental magma compositions, however, the plutonic samples showed some variability with the TiO2, FeO and P2O5 samples. From MgO 6 wt% - 4 wt%, P2O5 and TiO2 showed a cluster at 1 – 3 wt% and 6 – 10 wt%, respectively, and FeO showed cluster from MgO 30 - 10 wt% (Figure 1). These enriched plutonic trends suggested that the rocks were cumulates and studies have shown that the intrusions in this area are high in Titanium and Iron thus explaining the high TiO2 and FeO2 cumulate clusters. Also, the volcanic rocks 25 Al2O3 wt% B E D C A Plutonic TiO2 wt% carbnatites and friends Volcanic 0 5 10 15 20 25 30 35 25 30 35 MgO wt% 20 P2O5 wt% SiO2 wt% F 85 80 75 70 65 60 55 50 45 30 40 15 10 5 250 0 5 10 15 20 SiO2 wt% K2O wt% CaO3 wt% 20 10 9 8 7 6 5 4 3 2 1 40 3.5 0 3 2.5 2 1.5 1 0.5 12 0 0 10 15 10 5 10 15 20 5 10 15 20 A SiO225 wt% 30 35 25 30 35 25 30 35 MgO wt% 8 6 4 20 0 5 10 15 20 25 30 SiO2 wt% 5 10 15 20 0 35 FeOtotal wt% Na2O wt% B C 2 5 09 8 0 7 6 5 4 3 2 1 0 0 F E D 25 30 15 10 5 0 35 0 5 10 15 20 MgO wt% MgO wt% Figure 2: Harker diagrams of major elements plotted against MgO to show the evolution of magma during the early stages of crystallization. The plutonic trends of the TiO2, P2O5 and FeO graphs show the presence of cumulates in the study area. 9 A B C D E A F 35 Volcanic Plutonic 25 20 15 10 5 300 40 50 60 70 80 90 70 80 90 SiO2 wt% P2O5 wt% Al2O3 wt% 25 20 15 10 5 250 40 50 60 SiO2 wt% K2O wt% CaO wt% 20 15 10 5 90 8 40 7 6 5 4 3 2 1 0 40 F E 50 60SiO2 wt% 70 80 90 50 60 70 80 90 70 SiO2 wt% 80 90 SiO2 wt% 8 6 4 2 50 60 70 80 90 70 80 90 SiO2wt% 50 60 SiO2 wt% FeOtotal wt% Na2O wt% B C D TiO2 wt% MgO wt% 30 8 7 6 5 4 3 2 1 10 0.9 40 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 12 0 10 40 0 20 18 16 14 12 10 8 6 4 2 0 SiO2% 40 50 60 Figure 3 Harker diagrams of major elements plotted against SiO2 to show the evolution of magma during the late stages of crystallization. The plutonic trends of the TiO and FeO graphs indicate the presence of cumulates in the study area. Magma underwent fractional crystallization and the process was summarized in table 1 below. During phase A nothing happened, the concentration of major elements in the magma remained constant and no minerals were formed. During early crystallization FeO decreased and mafic minerals crystalized, starting with Olivine, and in the late stages of crystallization felsic minerals crystalized with Albite being the last one to crystalize. 10 Table 1: An interpretation of the Harker diagrams accompanied by a description of the fractional crystallization process. MgO wt% SiO2 wt% Phase A 35 - 30 40 - 45 Phase B 30 - 10 45 - 48 Phase C 10 - 6 48 - 50 Phase D 6-4 50 - 55 Phase E 4-3 55 - 65 Phase F 3-0 65 – 80 Al2O CaO FeO TIO2 Na2O K2O P2O5 Constant Constant Constant Constant Constant Constant Constant Decrease Decrease Decrease Decrease Decrease Increase Decrease Decrease Depleted Decrease Depleted Decrease Decrease Depleted Olivine Clinopyroxene Orthopyroxene Anorthite Apatite Ilmenite Albite - Increase Increase Decrease Increase Decrease Decrease Decease Decrease Decrease Increase Increase Decrease Increase Increase Increase Increase Increase Increase Increase Increase Decrease Minerals that crystalize X X X X X X X X - X X X X X Hi – Ti and Low – Ti in Rare Earth Elements and Trace elements Continental Flood Basalts were classified as High Ti and Low Ti using the TiO2 vs Zr plot. Both these elements are immobile and incompatible hence the positive correlations in figure 3 below. The TiO2 vs Zr graph (on the left in figure 3) showed two distinct trends, one with low Zr and high Ti and the other with high Zr and low Ti. These two trends were separated with a limit and the high Zr, low Ti plot was used for further investigations. From this trend, two distinct clusters were observed (See figure 3, right), the first one between 1 – 2 Ti wt% and the second one between 3 – 5 Ti wt% and between 200 – 500 Zr wt%. These clusters were identified as the low Ti and high Ti, respectively, and were used to plot rare earth elements and trace elements. 11 500 600 High Zr Zr (ppm) 400 y = 52.308x - 48.462 High Ti 400 350 Zr (ppm) 500 300 450 Ti-rich samples (ore?) Series2 Low Ti Linear (Series2) 300 250 200 Low Ti 150 200 100 100 Low Zr 50 0 0 0.0 0.0 5.0 10.0 TiO2 wt% 15.0 20.0 1.0 2.0 3.0 TiO2 wt% 4.0 5.0 6.0 Figure 4: TiO2 vs Zr plot(s) showing two distinct trends (left) and the high Ti and low Ti (right). Rare Earth Elements (REE) were plotted on three graphs as show in figure 4 and 5 below. The one on the right represents high Ti while the one on the left represents low Ti. The high Ti graph had a steeper slope, its magma was more enriched in LREE than HREE while the opposite phenomena held true for low Ti elements. Despite the pronounced difference in the general slope of the high and low Ti elements, it is imperative to not that, for both graphs, the slopes indicated by the HREE was very similar thus making it difficult to tell which melt is more depleted in HREE. To overcome this analysis hiccup a third graph with very low Ti samples was plotted (Figure 5, right) and this graph made is easier to see that the Low Ti melt was more depleted in HREE than the high Ti. Also, in figure 5 positive and negative anomalies were observed for SM. Rare Earth Elements High Ti Rare Earth Elements Low Ti 100 100 10 10 1 1 LA CE PR ND SM EU GD TB DY HO ER TM YB LU LA CE PR ND SM EU GD TB DY HO ER TM YB LU Figure 5: Rare earth elements in ELIP representing the high Ti (Left) and low Ti (Right) clusters. 12 Rare Earth Elements High Ti Rare Earth Elements Low Ti 100 100 10 10 Rare Earth Elements Very Low Ti 100 10 1 LA CE PR ND SM EU GD TB DY HO ER TM YB LU 1 LA CE PR NDSM EU GD TB DYHO ER TMYB LU 1 LA CE PR ND SM EU GD TB DY HO ER TM YB LU 0.1 Figure 6: Rare earth elements in ELIP representing the high Ti (Left), low Ti (Middle) and very low Ti (Right) clusters. Figure 6 showed the trace element trends in the high, low and very low Ti basalts. The three diagrams showed a fairly consistent trend of abnormalities in all of their samples. The steepness of the graphs decreased progressively from high Ti to low Ti. High and Low Ti showed negative and positive anomalies for U, negative anomalies for Ba, Ce, Sr and Eu and positive anomalies for Ta, Zr and Ho. Very low Ti had a negative anomaly for U as well, one sample with a positive anomaly for Sr and a depletion in HREE from Tb – Yb. Trace Elements High Ti Trace Elements Low Ti 100 100 10 10 Trace Elements Very Low Ti 100 10 1 1 1 0.1 Figure 7: Diagrams showing trace element trends in High (Left), Low (Middle) and very Low (Right) Ti basalts of the study area Isotopes U-Pb dating was used to date the basalts of the ELIP using a range from 100 000 000 million years to 450 000 000 million years as shown on figure 8 (Right). This range was selected so that all of the samples could be plotted and because previous studies dated the basalts from this area to 220 – 280 million years ago so this was the best range. On the right of figure 7 is a graph showing zoomed in of the years where the samples plotted up to 350 000 000 million years with majority of the samples plotting between 2.2 Ga and 3.2 Ga. On the left of figure 7The high Ti and Low Ti plotted within the same range and there was no evidence of metamorphism. However, there were samples that plotted lower than the expected range. 13 1 0.1 0.9 0.09 4.0 Ga 0.8 3.5 Ga 0.6 206Pb/238U 206Pb/238U 0.7 3.0 Ga 0.5 2.5 Ga 0.4 0.3 Series1 2.0 Ga 0.2 Plutonic 1.5 Ga 0.1 0.08 Series1 0.07 Plutonic Volcanic 0.06 0.05 3.2 Ga 0.04 0.03 2.2 Ga Volcanic 0.02 0.5 Ga 0.01 0 0 10 20 30 207Pb/235U 40 50 60 0 0 0.1 0.2 0.3 0.4 0.5 207Pb/235U Figure 8 14 0.6 0.7 0.8 0.9 Discussion Major elements The Harker diagrams in figure 1 and 2 represent the evolution of magma and they were interpreted in table 1. The interpretation in table one may be further interpreted to determine the type of rocks that may have formed in the selected study area. In phase B olivine and pyroxene crystalized suggesting the formation of komatiite and peridotite rocks, in phase C mostly pyroxene crystalized and this suggested the formation of gabbro and basalt. It is also imperative to note that had the highest number of samples which would explain why the rocks in this area were referred to as basalts. Phase D was characterized by the crystallization of clinopyroxene, anorthite, apatite and ilmenite and this phase suggested the formation of basalt, diorite and andesite. Lastly, phase E was characterized by the formation of albite and the continued formation of the minerals in phase C. These minerals suggested the formation of rhyolite and granite. These results correlated with the results that were obtained by Tong Hou in a similar study that he carried out. The Magma of the ELIP belonged to, both, the tholeiitic and alkali magma series. This was seen from the change in the Alkali content where it started off with very high alkali content, indicating an alkaline magma series, and as crystallization progressed, the alkaline content decreased resulting in the transition to a more tholeiitic series (Table 1). The FeO, TiO2 and P2O5 harker diagrams had increasing clusters that deviated from their respective trends (Figure 1 and 2), these clusters indicated the enrichment of Fe-Ti-V oxides in this province. Zr vs TiO2 Zr vs TiO2 diagrams were used determine the mantle source of ELIP (Figure3) and the diagram on the left showed two distinct trends, one characterized by a positive slope and another one characterized by a flat slope with high TiO2. The latter trend suggested the presence of ore deposits and this suggestion was supported by various previous studies which reported that ELIP hosts giant Fe – Ti – V oxide ore deposits in mafic intrusions such as Limahe, Baimazhai and Yasngliuping intrusions. The trend with a positive relationship between TiO2 and Zr was used to characterize the magma into low Ti and high Ti magma. However, it was imperative to note that the data showed a continuous TiO2 range thus making it difficult to point out the different types of magma and also, demonstrating that high Ti and Low Ti magma could be derived from the same mantle source. Majority of the samples were in the low Ti cluster. The petrogenesis of high and low Ti has been part of heated debates even though there was a general consensus that the ELIP was divided into three zones: an inner, intermediate and outer zone, with high Ti being dominant in the periphery while low Ti and alkaline lava occurred exclusively in the inner zones. …….. Proposed that the low Ti magma were generated in a plume axis region and the high Ti lava were generated by melting the mantle at the plume periphery via low degrees of melting due to the thicker lithosphere. 15 Rare Earth Elements and Trace elements The samples plotted in the REE diagrams exhibited a uniform primitive/chondrite-normalized pattern with an apparent enrichment in LREE in high Ti and low Ti samples (Figure 5) and little to no anomalies. However, high Ti was more enriched in LREE and less enriched in HREE resulting in the formation of a steep slope. This slope was indicative of low degrees of partial melting and alkaline magma. The low Ti was less enriched in LREE thus forming a flatter slope which was indicative of high degrees of melting and tholeiitic magma. During low degrees of partial melting the most incompatible rare earth elements (LREE) entered the melt immediately. At higher degrees (greater depth), the least incompatible elements are able to enter the melt easily as well. High Ti and Low Ti didn’t show the presence of absence of garnet well hence a third diagram of “very low Ti” was created, this diagram also showed high degree of partial melting, however, in this graph we were able to see the flat slope from Gd to Lu more clearly. These elements are incompatible in other minerals but compatible in garnet. Their depletion suggested the presence of garnet, they were still in the garnet during the melting process. Among the trace elements, the high Ti samples had consistent abnormalities thus suggesting that the abnormalities are from the mantle source, maybe a contamination at the source. Similarly, low Ti and very low Ti samples had positive and negative anomalies for certain elements. This latter trend suggested that the elements may have been used up during fractional crystallization and or reintroduced by metasomatism (for fluid mobile elements). Barium had positive and negative anomalies, this element is fluid mobile, and therefore, the positive anomalies could be attributed to metasomatism while the negative one remains a mystery because barium is not compatible to any of the major elements thus meaning fractional crystallization failed to explain that anomaly. In very low Ti samples we could clearly see the presence of garnet by the flat slope from Gd to Lu. Despite all the minor difference, it was imperative to note that that all Ti samples followed the expected characteristic continental crust trend. Isotopes The age of Emeishan basalts has been widely accepted at 240 – 280 million years and the results obtained from this study conform this statement as majority of the samples plot between 240 – 3000 million years. However, there was rocks that plotted bellow than expected range and a few above it, the presence of the older samples was explained using the resistivity of zircons. Zircons are resistant thus meaning they can withstand the formation of an igneous province, therefore, these older zircons could’ve been inherited from the country rock that the magma assimilated from and survived the geological process. The younger zircons could be accumulates that were deposited later or maybe there was inconsistency in the collection of the data. 16 Reference 17