CN110931086A - Source tracking system utilizing lithologic geochemical genes - Google Patents
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Abstract
The invention discloses a source tracking system utilizing lithologic geochemical genes, and belongs to the field of geological sample detection tracking systems. A source tracking system utilizing lithologic geochemical genes characterizes the characteristic of the relative change trend of the contents between elements of geological samples, and different geological samples have different geochemical genes, so that the geological samples can be identified by utilizing the geochemical genes. However, due to the complexity of geological action, the geochemical properties of elements may change under certain special geological environments, so that the trend of change between elements changes, namely, geochemical genes of geological samples with the same source may change within a certain range (namely, the variability of genes).
Description
Technical Field
The invention relates to the field of geological sample detection and tracking systems, in particular to a source tracking system utilizing lithologic geochemical genes.
Background
The scientific problems of source and evolution and the like in the geological geochemical process are important means for discussing material sources and disclosing the geochemical process. The geochemical tracing of elements is based on the content and property differences of elements in different geologic bodies, and is widely researched and applied as an important geochemical tracing method. Common geochemical element tracing methods include element gene spectral lines (including rare earth element distribution curves), element ratios, geochemical diagrams, and the like. These tracing methods are widely used for tracing the types of rocks, sources of diagenetic materials in rocks, discriminating the earth structure environment, and the like. However, the above-mentioned methods for tracing the geochemical properties of elements mostly trace the source of the materials from the rock scale, that is, when the type of rock and the source of the diagenetic material are investigated, the rock to be investigated is often required to be fresh rock, and is not suitable for the weathering products of the rock (for example, weathered rock, soil, water-based sediments, etc.).
The existing source tracking system utilizing the lithologic geochemical gene cannot further confirm the similar area of the detected sample.
Disclosure of Invention
The invention aims to solve the problem that the similar region of a detection sample cannot be further confirmed in the prior art, and provides a source tracking system utilizing a lithologic geochemical gene.
In order to achieve the purpose, the invention adopts the following technical scheme:
a source tracking system using lithologic geochemical genes, comprising the steps of:
s1, calculating a lithologic geochemical gene library based on regional geochemistry and multi-target geochemistry investigation results obtained by predecessors;
s2, collecting a sample to be detected, and performing necessary element content analysis on the sample to be detected so as to construct a geochemical gene sequence of the sample;
s3, comparing the lithologic gene of S2 with the lithologic geochemical gene in the S1 gene database, and further calculating the similarity of the genes in the gene database relative to the genes in S2;
s4, outputting the similarity of the comparison results;
s5, assigning the sample meeting the gene similarity standard as 1, and assigning the sample not meeting the similarity standard as 0;
and S6, comparing the assigned data and outputting the result.
Preferably, the constructing of the geochemical gene sequence in S2 includes the steps of:
a1, sorting the elements selected by the detection sample, such as 11 items, to form an element sequence;
a2, standardizing the element content in the sequence according to the idea of gene spectral line or rare earth element distribution curve, recording the element content as C, and recording the standardized data as CN;
A3, in order to research the variation trend between elements, constructing the logarithmic difference delta of the normalized values of two adjacent elementsi:
Δi=lg(Ci)N-lg(Ci-1)N
In the formula: i is the rank of the element in the sequence;
a4 according to Δ between element sequencesiTo construct a value of the gene sequence. Gene sequence value g when i is 1iIs given as 1, g when i > 1iThe values are:
i.e. giThe value of (d) is only 0, 1 or 2, and delta is a reliability critical value; when deltai>Delta. is giThe value is 2, which shows that the normalized value of the element behind is obviously higher than that of the element in front, and the curve in the gene spectral line rises; when-delta.ltoreq.DELTAiWhen delta is not more than delta, giThe value is 1, which indicates that the normalized value of the following element is basically consistent with the normalized value of the preceding element in a certain range, and the curve in the gene spectral line is flat; when deltai<Delta. is giThe value is 0, which shows that the normalized value of the following element is obviously lower than that of the preceding element, and the curve in the gene spectral line is reduced; based on factors such as field sampling errors and indoor analysis testing errors, the reliability critical value delta can be set to be 0.05 or 0.10 and the like;
a5, forming a data sequence g with length of 11 for 11 items of elements1,g2,……,g11Order the dataThe columns are referred to as gene sequences.
Preferably, the gene code of the sample to be detected is constructed.
Preferably, the genes of the sample to be detected are compared with the genes of the lithology gene library obtained by calculation in S1, and then the similarity of the genes in S1 with respect to the genes of the sample to be detected in S2 is calculated, and the standard for judging whether the genes are similar is 80% or 70%, which is respectively used for two judgments that source rocks may be different (such as a magma rock and other rocks).
Preferably, the geochemical gene similarity data processing in S3 includes the steps of:
b1, judging the corresponding position g according to the gene sequence valueiThe similarity of the values is recorded as
In the formula: g when the corresponding positions of the geochemical genes of the two samples areiTaking the same value, and calculating the similarity of the positionMarking as 1; when corresponding to g of positioniWhen the value is 0 and 2 (or 2 and 0), g isiWhen the values are obviously different, the similarity of the positions is determinedIs marked as 0; when corresponding to g of positioniWhen the value is 1 and 0, 1 and 2 (or 0 and 1, 2 and 1), the similarity of the positions is determinedIs recorded as 0.5;
b2, except for the first position of the gene sequence (definition g)1) Mapping the geochemical gene to position giDividing the sum of the values by the number of the corresponding positions of the gene sequence to obtain the similarity R of the genes;
preferably, when the geochemical gene similarity R of the two samples varies between 0 and 1, the higher the R value is, the more similar the geochemical genes of the two samples are, and when R is 100%, the geochemical genes of the two samples are identical.
Compared with the prior art, the invention provides a source tracking system utilizing lithologic geochemical genes, which has the following beneficial effects:
1. the geochemical gene is characterized by the relative change trend of the contents between elements of the geological sample, and different geological samples have different geochemical genes, so that the geological sample can be identified by using the geochemical genes. However, due to the complexity of geological action, the geochemical properties of elements may change under certain special geological environments, so that the change trend among elements is changed, namely the geochemical genes of geological samples with the same source may change within a certain range. If inactive elements are present during weathering from the rock to the soil to the water system sediments and are selected to construct the geochemical genes, the rock and its weathering products should have the same or similar geochemical genes. In order to characterize the identity or similarity between geochemical genes, the degree of geochemical gene similarity is specifically introduced so that accurate detection and judgment can be given.
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FIG. 1 is a system flow chart of a source tracking system using lithologic geochemical genes according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example 1:
a source tracking system using lithologic geochemical genes, comprising the steps of:
s1, calculating a lithologic geochemical gene library based on regional geochemistry and multi-target geochemistry investigation results obtained by predecessors;
s2, collecting a sample to be detected, and performing necessary element content analysis on the sample to be detected so as to construct a geochemical gene sequence of the sample;
s3, comparing the lithologic gene of S2 with the lithologic geochemical gene in the S1 gene database, and further calculating the similarity of the genes in the gene database relative to the genes in S2;
s4, outputting the similarity of the comparison results;
s5, assigning the sample meeting the gene similarity standard as 1, and assigning the sample not meeting the similarity standard as 0;
and S6, comparing the assigned data and outputting the result.
Further, preferably, the constructing of the geochemical gene sequence in S2 includes the steps of:
a1, sorting the elements selected by the detection sample, such as 11 items, to form an element sequence;
a2, standardizing the element content in the sequence according to the idea of gene spectral line or rare earth element distribution curve, recording the element content as C, and recording the standardized data as CN;
A3, in order to research the variation trend between elements, constructing the logarithmic difference delta of the normalized values of two adjacent elementsi:
Δi=lg(Ci)N-lg(Ci-1)N
In the formula: i is the rank of the element in the sequence;
a4 according to Δ between element sequencesiTo construct a value of the gene sequence. Gene sequence value g when i is 1iIs given as 1, g when i > 1iThe values are:
i.e. giThe value of (d) is only 0, 1 or 2, and delta is a reliability critical value; when deltai>Delta. is giThe value is 2, which shows that the normalized value of the element behind is obviously higher than that of the element in front, and the curve in the gene spectral line rises; when-delta.ltoreq.DELTAiWhen delta is not more than delta, giThe value is 1, which indicates that the normalized value of the following element is basically consistent with the normalized value of the preceding element in a certain range, and the curve in the gene spectral line is flat; when deltaiAt & lt delta, giThe value is 0, which shows that the normalized value of the following element is obviously lower than that of the preceding element, and the curve in the gene spectral line is reduced; based on factors such as field sampling errors and indoor analysis testing errors, the reliability critical value delta can be set to be 0.05 or 0.10 and the like;
a5, forming a data sequence g with length of 11 for 11 items of elements1,g2,……,g11This data sequence is referred to as a gene sequence.
Further, preferably, the construction of the gene code of the sample to be tested.
Further, preferably, the genes of the sample to be detected are compared with the genes of the lithologic gene library obtained by calculation in S1, and then the similarity of the genes in S1 with respect to the genes of the sample to be detected in S2 is calculated, and the criterion for determining whether the genes are similar is 80% or 70%, which are respectively used for two determinations that the source rock may be different (such as a magma rock and other rocks).
Further, preferably, the geochemical gene similarity data processing in S3 includes the steps of:
b1, judging the corresponding position g according to the gene sequence valueiThe similarity of the values is recorded as
In the formula: g when the corresponding positions of the geochemical genes of the two samples areiTaking the same value, and calculating the similarity of the positionMarking as 1; when corresponding to g of positioniWhen the value is 0 and 2 (or 2 and 0), g isiWhen the values are obviously different, the similarity of the positions is determinedIs marked as 0; when corresponding to g of positioniWhen the value is 1 and 0, 1 and 2 (or 0 and 1, 2 and 1), the similarity of the positions is determinedIs recorded as 0.5;
b2, except for the first position of the gene sequence (definition g)1) Mapping the geochemical gene to position giDividing the sum of the values by the number of the corresponding positions of the gene sequence to obtain the similarity R of the genes;
further, it is preferable that when the degree of geochemical gene similarity R of the two samples varies between 0 and 1, a larger value of R indicates more similarity of the geochemical genes of the two samples, and when R is 100%, the geochemical genes of the two samples are identical.
Example 2: based on example 1, but with the difference that:
collecting a rock sample, extracting geochemical genes of the rock sample, and determining an element sequence, wherein the specific conditions refer to the following table 1;
carrying out comparison according to the geochemical genes in the table 1 and substituting the geochemical genes into a geochemical gene database, and substituting the comparison result into the following formula for calculation, wherein the calculation result refers to the table 2 below;
and outputting a region with a comparison result of more than 80% (or 70%), finding out that the characteristic of the geochemical gene representing the relative change trend of the content between elements of the geological sample can be found by referring to the detection result, and identifying the geological sample by using the geochemical gene because different geological samples have different geochemical genes. However, due to the complexity of geological action, the geochemical properties of elements may change under certain special geological environments, so that the change trend among elements is changed, namely the geochemical genes of geological samples with the same source may change within a certain range. If inactive elements are present during weathering from the rock to the soil to the water system sediments and are selected to construct the geochemical genes, the rock and its weathering products should have the same or similar geochemical genes. In order to characterize the identity or similarity between geochemical genes, the degree of geochemical gene similarity is specifically introduced so that accurate detection and judgment can be given.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A source tracking system using lithologic geochemical genes, comprising the steps of:
s1, calculating a lithologic geochemical gene library based on regional geochemistry and multi-target geochemistry investigation results obtained by predecessors;
s2, collecting a sample to be detected, and performing necessary element content analysis on the sample to be detected so as to construct a geochemical gene sequence of the sample;
s3, comparing the lithologic gene of S2 with the lithologic geochemical gene in the S1 gene database, and further calculating the similarity of the genes in the gene database relative to the genes in S2;
s4, outputting the similarity of the comparison results;
s5, assigning the sample meeting the gene similarity standard as 1, and assigning the sample not meeting the similarity standard as 0;
and S6, comparing the assigned data and outputting the result.
2. The system for tracking a source of a lithologic geochemical gene as recited in claim 1, wherein: the construction of the geochemical gene sequence in S2 includes the following steps:
a1, sorting the elements selected by the detection sample, such as 11 items, to form an element sequence;
a2, standardizing the element content in the sequence according to the idea of gene spectral line or rare earth element distribution curve, recording the element content as C, and recording the standardized data as CN;
A3, in order to research the variation trend between elements, constructing the logarithmic difference delta of the normalized values of two adjacent elementsi:
Δi=lg(Ci)N-lg(Ci-1)N
In the formula: i is the rank of the element in the sequence;
a4 according to Δ between element sequencesiTo construct a value of the gene sequence. Gene sequence value g when i is 1iIs given as 1, g when i > 1iThe values are:
i.e. giThe value of (d) is only 0, 1 or 2, and delta is a reliability critical value; when deltaiWhen > delta, giThe value is 2, which shows that the normalized value of the element behind is obviously higher than that of the element in front, and the curve in the gene spectral line rises; when-delta.ltoreq.DELTAiWhen delta is not more than delta, giThe value is 1, which indicates that the normalized value of the following element is basically consistent with the normalized value of the preceding element in a certain range, and the curve in the gene spectral line is flat; when deltai<Delta. is giThe value is 0, which shows that the normalized value of the following element is obviously lower than that of the preceding element, and the curve in the gene spectral line is reduced; based on factors such as field sampling errors and indoor analysis testing errors, the reliability critical value delta can be set to be 0.05 or 0.10 and the like;
a5, forming a data sequence g with length of 11 for 11 items of elements1,g2,……,g11This data sequence is referred to as a gene sequence.
3. The system for tracking a source of a lithologic geochemical gene as recited in claim 1, wherein: and constructing the gene code of the sample to be detected.
4. The system for tracking a source of a lithologic geochemical gene as recited in claim 1, wherein: and comparing the genes of the sample to be detected with the genes of the lithologic gene library obtained by calculation in the S1, further calculating the gene similarity of the genes in the S1 relative to the sample to be detected in the S2, and judging whether the genes are similar according to the standard of 80% or 70%, wherein the standard is respectively used for judging two types of source rocks which may be different (such as a magma rock and other rocks).
5. The system for tracking a source of a lithologic geochemical gene as recited in claim 1, wherein: the geochemical gene similarity data processing in S3 includes the following steps:
b1, judging the corresponding position g according to the gene sequence valueiThe similarity of the values is recorded as
In the formula: g when the corresponding positions of the geochemical genes of the two samples areiTaking the same value, and calculating the similarity of the positionMarking as 1; when corresponding to g of positioniWhen the value is 0 and 2 (or 2 and 0), g isiWhen the values are obviously different, the similarity of the positions is determinedIs marked as 0; when corresponding to g of positioniWhen the value is 1 and 0, 1 and 2 (or 0 and 1, 2 and 1), the similarity of the positions is determinedIs recorded as 0.5;
b2, except for the first position of the gene sequence (definition g)1) Mapping the geochemical gene to position giDividing the sum of the values by the number of the corresponding positions of the gene sequence to obtain the similarity R of the genes;
6. the system for tracking a source of a lithologic geochemical gene as recited in claim 1, wherein: when the geochemical gene similarity R of the two samples varies between 0 and 1, the larger the R value is, the more similar the geochemical genes of the two samples are, and when the R is 100%, the geochemical genes of the two samples are identical.
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CN112946240A (en) * | 2021-02-01 | 2021-06-11 | 北京科技大学 | Landslide geological disaster gene identification and prediction system |
CN116718753A (en) * | 2023-05-31 | 2023-09-08 | 中国地质大学(北京) | Soil geochemical weathering gene SG01 and construction method and application thereof |
CN116519906B (en) * | 2023-04-24 | 2023-10-31 | 中国地质大学(北京) | Lithologic geochemical branching gene LG11 and construction method and application thereof |
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CN106355011A (en) * | 2016-08-30 | 2017-01-25 | 有色金属矿产地质调查中心 | Geochemical data element sequence structure analysis method and device |
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CN106355011A (en) * | 2016-08-30 | 2017-01-25 | 有色金属矿产地质调查中心 | Geochemical data element sequence structure analysis method and device |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112946240A (en) * | 2021-02-01 | 2021-06-11 | 北京科技大学 | Landslide geological disaster gene identification and prediction system |
CN112946240B (en) * | 2021-02-01 | 2022-08-02 | 北京科技大学 | Landslide geological disaster gene identification and prediction system |
CN116519906B (en) * | 2023-04-24 | 2023-10-31 | 中国地质大学(北京) | Lithologic geochemical branching gene LG11 and construction method and application thereof |
CN116718753A (en) * | 2023-05-31 | 2023-09-08 | 中国地质大学(北京) | Soil geochemical weathering gene SG01 and construction method and application thereof |
CN116718753B (en) * | 2023-05-31 | 2024-05-07 | 中国地质大学(北京) | Soil geochemical weathering gene SG01 and construction method and application thereof |
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