CN108959554A - A kind of application method based on environmental geochemical baseline - Google Patents
A kind of application method based on environmental geochemical baseline Download PDFInfo
- Publication number
- CN108959554A CN108959554A CN201810713707.5A CN201810713707A CN108959554A CN 108959554 A CN108959554 A CN 108959554A CN 201810713707 A CN201810713707 A CN 201810713707A CN 108959554 A CN108959554 A CN 108959554A
- Authority
- CN
- China
- Prior art keywords
- heavy metal
- baseline
- soil
- pollution
- geochemical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention discloses a kind of application methods based on environmental geochemical baseline, its key points of the technical solution are that the steps include: that (1) is for statistical analysis to heavy metal-polluted soil spatial distribution characteristic；(2) heavy metal-polluted soil environmental geochemical baseline model is established；(3) heavy metal-polluted soil enrichment factor is calculated；(4) to heavy metal pollution of soil degree index of bunching is calculated (5) and is identified to heavy metal pollution of soil range caused by human activity；(6), spatial prediction is carried out to heavy metal pollution of soil range caused by human activity.A kind of application method based on environmental geochemical baseline of the invention can be realized carries out that the differentiation of the heavy metal pollution origin cause of formation, heavy metal pollution of soil range defines and heavy metal pollution of soil prediction and warning from geographical space to research area's farming land, and it is horizontal to promote cities and towns periphery farming land heavy metal pollution of soil risk management and control.
Description
Technical field
The present invention relates to a kind of application methods based on environmental geochemical baseline.
Background technique
Environmental geochemical baseline is initially defined as the natural change of chemical substance (element) concentration in epigeosphere substance
Change, it is intended to the natural trend of mineral and chemical element is determined, to compare with the influence that mankind's activity induces.The environment earth
Chemical baseline value is different from Environmental Background Levels, and what it sought is the current state of environment, indicates to disturb ground in mankind's activity
The concentration of element that area measures immediately, and Environmental Background Levels refer to not by the element of the natural environment of the effect of human activity itself
Concentration, reflection be soil primary sedimentary environment state, since effect of human activity range is increasingly extensive, background value compares environment
Geochemical baseline value is more difficult to determine.
Currently, for environmental geochemical baseline value Assessment of Heavy Metal Pollution in Soil and in terms of research compared with
It is few, in recent years, foreign scholar such as Glennon etc. introduce geochemical baseline to heavy metal element levels of accumulation in the soil into
It has gone research, has had rated influence of the mankind's activity to heavy metal-polluted soil levels of accumulation.Tune of the China about heavy metal pollution of soil
It is also very weak to look into work, ongoing ten thousand multi-purpose geochemical survey of 1:25 work, still cannot effectively investigate thoroughly in the whole country
Heavy metal pollution range and pollution level；The methods and techniques system of especially farming land Assessment of Heavy Metal Pollution in Soil is also endless
It is kind, existing country's soil environment quality secondary standard (GBl5618-1995), because of different geographical, different geologic settings
It is different with the heavy metal-polluted soil of the agricultural production use pattern accumulation initiation degree of Ecological Environment Risk, using unified Limited Doses
Limitation is highlighted when evaluating heavy metal pollution of soil degree.Environmental geochemical baseline can accurately identify heavy metal-polluted soil geology
Background sources and the artificially-contaminated amount of superposition, but still lack in terms of Soil Contamination Evaluation and heavy metal-polluted soil geochemical warning
Using and research.
Summary of the invention
It can be to farming land heavy metal pollution in view of the deficiencies of the prior art, the present invention intends to provide one kind
Properties study realizes the identification of farming land heavy metal pollution of soil range and pollution risk early warning based on environmental geochemical baseline
Application method.
To achieve the above object, the present invention provides the following technical scheme that a kind of answering based on environmental geochemical baseline
With method, the steps include:
(1) for statistical analysis to heavy metal-polluted soil spatial distribution characteristic；
(2) heavy metal-polluted soil environmental geochemical baseline model is established；
(3) heavy metal-polluted soil enrichment factor is calculated；
(4) to heavy metal pollution of soil degree index of bunching calculates；
(5) heavy metal pollution of soil range caused by human activity is identified；
(6), spatial prediction is carried out to heavy metal pollution of soil range caused by human activity.
The present invention is further arranged to: according to step (1), using IBM Statistics Spss19.0 software to soil
Example Test Data is for statistical analysis, then applies Arcgis10.2 software, using distance weighted inverse ratio difference approach, divides
15 grades of drafting geo-chemical element anomaly figures.
The present invention is further arranged to: according to step (2), being screened suitable normalization factor, is uniformly chosen 1/8 ratio surface layer
Pedotheque, stable testing element Li, Eu, Sc and Sm content, and Li, Eu, Sc and Sm average value are calculated after rejecting 2 times of deviations,
Then Pearson correlation analysis is carried out to heavy metal element and stable element using SPSS software.
The present invention is further arranged to: according to step (3), based on environmental geochemical baseline value to traditional enrichment factor
(EF) evaluation method improves, influence degree of the evaluation heavy metal-polluted soil accumulation by mankind's activity.
The present invention is further arranged to: heavy metal-polluted soil enrichment factor calculation formula are as follows:
EF=(Csample/Bsample)/(Cbaseline/Bbaseline) (1)
(Csample/Bsample) be topsoil heavy metal element test concentrations relative standard's factor test concentrations ratio；
(Cbaseline/Bbaseline) be heavy metal element background value relative standard's factor background value ratio.
The present invention is further arranged to: by the environmental geochemical baseline value of quantitative calculating to heavy metal-polluted soil be enriched with because
Son amendment, using EF=1.0 as evaluation criterion, EF≤1.0, it is believed that heavy metal element is entirely derived from crust materials or by certainly
Right efflorescence enrichment；EF > 1.0, it is believed that part heavy metal element derives from mankind's activity.
The present invention is further arranged to: according to step (4), heavy metal pollution of soil degree ground index of bunching calculation formula
Are as follows:
I geo=log2[Cn/Cbaseline] (2)
CnIt is test elements content, BnIt is the corresponding background value of test elements, the heavy metal member calculated by standardized method
Plain environmental geochemistry baseline value " Cbaseline" instead I geo=log in index of bunching method2[Cn/(1.5×Bn)] " 1.5
×Bn", index of bunching formula improves over the ground, to eliminate the influence of geologic setting.
The present invention is further arranged to: by the way that ground index of bunching is divided into 7 grades, for evaluating Heavy Metal In Sediments
Pollution level.
The present invention is further arranged to: its evaluation criterion is Igeo < 0, and levels of contamination is 0 grade, is indicated pollution-free；0≤
Igeo < 1, levels of contamination are 1 grade, indicate pollution-free and arrive slight pollution；1≤Igeo < 2, levels of contamination are 2 grades, indicate moderate
Pollution；2≤Igeo < 3, levels of contamination are 3 grades, indicate intermediate pollution to strong pollution；3≤Igeo < 4, levels of contamination are 4 grades,
Indicate strong pollution；4≤Igeo < 5, levels of contamination are 5 grades, indicate to pollute pole strength pollution by force；Igeo >=5, levels of contamination
It is 6 grades, indicates extremely strong pollution.
The present invention is further arranged to: according to step (5) and (6), being examined to farming land heavy metal pollution of soil situation
It surveys, by GIS information system, by each sampling point heavy metal element EF and Igeo evaluation result and corresponding figure spot spatial positional information
It is associated, research all farming land figure spots of area's range is evaluated using the method for the least square of inverse distance weighting
Data interpolating, and the attribute value of the node function substitution discrete point by selection periphery sampled point, evaluate superposition EF using Igeo
Evaluation method characterizes Shaoxing cities and towns periphery farming land range heavy metal pollution of soil degree spatial distribution, right from geographical space
Research area's farming land carries out the differentiation of the heavy metal pollution origin cause of formation, heavy metal pollution of soil range defines and heavy metal pollution of soil space
Prediction and warning.
The present invention has an advantage that using Eu, Sm and Sc element as normalization factor, is established and is ground using standardized method
Study carefully area's farming land heavy metal-polluted soil As, Cd, Cr, Cu, Hg, Ni, Pb and Zn environmental geochemical baseline, it is agricultural to obtain research area
Ground heavy metal-polluted soil environmental geochemical baseline value；Using baseline value as Main Factors, using enrichment factor and ground index of bunching
Method can the accumulation of effective evaluation cities and towns periphery farming land heavy metal-polluted soil by the effect of human activity degree, and it is to each sample native
Earth heavy metal accumulation situation and pollution level are evaluated, and evaluation result relies on GIS spatial analysis, evaluate superposition EF using Igeo
Evaluation method is preferably realized and carries out the differentiation of the heavy metal pollution origin cause of formation, heavy metal-polluted soil to research area's farming land from geographical space
Pollution range defines and heavy metal pollution of soil prediction and warning, promotion cities and towns periphery farming land heavy metal pollution of soil risk management and control
It is horizontal.
Detailed description of the invention
Fig. 1 is the heavy metal-polluted soil spatial distribution characteristic figure in research of embodiment of the present invention area；
Fig. 2 is the topsoil environmental geochemical baseline figure in research of embodiment of the present invention area；
Fig. 3 is the topsoil heavy metal accumulation degree figure in research of embodiment of the present invention area；
Fig. 4 is the topsoil huge sum of money possession index of bunching figure in research of embodiment of the present invention area；
Fig. 5 is that the topsoil heavy metal pollution degree in research of embodiment of the present invention area evaluates figure.
Specific embodiment
Shown in 5, a kind of application method based on environmental geochemical baseline of the present embodiment the steps include:
(1) for statistical analysis to heavy metal-polluted soil spatial distribution characteristic；
(2) heavy metal-polluted soil environmental geochemical baseline model is established；
(3) heavy metal-polluted soil enrichment factor is calculated；
(4) to heavy metal pollution of soil degree index of bunching calculates；
(5) heavy metal pollution of soil range caused by human activity is identified；
(6), spatial prediction is carried out to heavy metal pollution of soil range caused by human activity.
According to step (1), pedotheque test data is counted using IBM Statistics Spss19.0 software
It analyzes (being shown in Table 1), the content of beary metal range such as research area's farming land soil As, Cd, Cr, Cu, Hg, Ni, Pb and Zn is respectively
2.28~106.00mgkg-1, 0.04~4.91mg kg-1, 16.00~221.00mg kg-1, 12.90~216.00mg kg-1,
0.03~2.31mg kg-1, 6.76~102.00mg kg-1, 12.40~245.00mg kg-1And 51.70~864.00mgkg-1；Wherein the town Fu Quan Cr, Ni and Hg average content is higher than other townships, and the town Jian Hu As, Cd, Pb and Ni average content is higher than other
Township, par town Cu average content are higher than other townships.In spatial distribution, the town Fu Quan each element spatial variability coefficient is below
50%, the relatively high element of the coefficient of variation is followed successively by Cd (48%) > Hg (46%) > As (42%) > Zn (39%), The Orchid Pavilion
Element of the town coefficient of variation higher than 50% is followed successively by Cd (91%) > Zn (78%) > Hg (53.9%) > As (53.7%), reflects
Element of the lake town coefficient of variation higher than 50% is followed successively by Cd (97%) > Hg (94%) > Zn (83%) > As (85%), par
Element of the town coefficient of variation higher than 50% is followed successively by Cd (88%) > Hg (85%) > Zn (61%) > Cu (59%)；It is each on the whole
4 kinds of element space variations such as township Cd, Hg, As and Zn are maximum, it is shown that human activity is to Shaoxing cities and towns periphery farming land soil
Earth chemical element composition produces large effect.
1 Soil Heavy Metal Elements Content statistical nature of table
Table1 The statistical results of soil heavy metal content
Unit (Unit): mgkg-1
Then Arcgis10.2 software is applied, using distance weighted inverse ratio difference approach, point 15 grades of drafting elements are geochemical
Abnormal Map is learned, conventionally Geochemistry exception technique for delineating, as the result is shown: As, Cd, Cu, Pb and Zn element geochemistry are different
With uniformity in normal spatial distribution, high level is mainly in axis zonal distribution close to iron producing area and Cu-polymetallic deposit area, abnormal to mirror
Lake low-lying migration trend is obvious, and Cd, Cu and Zn element form new concentration center in mirror lake water net plain；Cr and Ni element
With uniformity in geochemical anomaly spatial distribution, high level is mainly distributed on the town Fu Quan printing and dyeing industry Nesting Zone, the Qu Yujian
Hu Zhen belongs to Alluvial Plain, and topography is higher than mirror lake, abnormal mainly to spread along water system in planar；Hg geo-chemical element anomaly master
It is distributed in the town Fu Quan, the town Jian Hu and par town the north water net plain, there is belt town central distribution feature extremely.
According to step (2), suitable normalization factor is screened, uniformly chooses 1/8 ratio (70) topsoil sample, is surveyed
It tries stable element Li, Eu, Sc and Sm content (being shown in Table 2), statistic analysis result shows that 4 kinds of element coefficient of variation are respectively less than 0.25,
With the stability in spatial distribution, calculating Li, Eu, Sc and Sm average value is respectively 37.42mgkg after rejecting 2 times of deviations-1、
1.13mg kg-1、11.49mg kg-1With 5.72mg kg-1。
2 soil stabilization element Li, Eu, Sc and Sm content statistical nature of table
Table2 The statistical results of Li、Eu、Sc and Sm content
Note: * meters are calculated with 2 times of deviations are rejected.
Pearson correlation analysis (table 3) is carried out to heavy metal element and stable element using SPSS software, display Eu,
The correlation of Sc, Sm and heavy metal element is superior to Li element.Eu element stablizes member better than other with Cd, Cr, Ni correlation
Element, corresponding Pearson correlation coefficient is respectively 0.11,0.77 and 0.72；Sc element stablizes member better than other with Cu, Pb correlation
Element, corresponding Pearson correlation coefficient is respectively 0.47 and 0.15；Sm element stablizes member better than other with As, Hg, Zn correlation
Element, corresponding Pearson correlation coefficient is respectively 0.48,0.28 and 0.10.Select property associated therewith best each heavy metal element
Stable element establish environmental geochemical baseline model (Fig. 2) according to earlier mentioned standardization method as normalization factor, and substitute into
Corresponding stable element average value obtains research area's heavy metal element As, Cd, Cr, Cu, Hg, Ni, Pb and Zn environmental geochemistry
Baseline value is respectively 11.13mg kg-1、0.38mg kg-1、57.48mg kg-1、43.86mg kg-1、0.30mg kg-1、
21.55mg kg-1、51.91mg kg-1With 132.68mg kg-1。
3 heavy metal element of table and stable element Pearson correlation coefficient table
Table 3 The Pearson correlation coefficient between heavy metal
elements and stable elements
According to step (3), traditional enrichment factor (EF) evaluation method is changed based on environmental geochemical baseline value
Into influence degree of the evaluation heavy metal-polluted soil accumulation by mankind's activity.
Heavy metal-polluted soil enrichment factor calculation formula are as follows:
EF=(Csample/Bsample)/(Cbaseline/Bbaseline) (1)
(Csample/Bsample) be topsoil heavy metal element test concentrations relative standard's factor test concentrations ratio；
(Cbaseline/Bbaseline) be heavy metal element background value relative standard's factor background value ratio.
It is horizontal as the standard for distinguishing geology source and artificial source using EF≤1.5 different from estimating geologic setting difference；
This method passes through the environmental geochemical baseline value quantitatively calculated and carries out more accurate amendment to heavy metal-polluted soil enrichment factor, with EF
=1.0 are used as evaluation criterion, EF≤1.0, it is believed that heavy metal element is entirely derived from crust materials or by weathering process
Enrichment；EF > 1.0, it is believed that part heavy metal element derives from mankind's activity.
Using Arcgis software, by the method for distance weighted inverse ratio interpolation, by 4 kinds of stable elements such as Eu, Sc and Sm
Sampling point data carry out airlink with all 534 samples, and realizing all sampling points has corresponding Eu, Sc and Sm content data.
Enrichment factor evaluation is carried out to the data after difference, descending be followed successively by of research area's heavy metal-polluted soil EF average value is obtained and (schemes
3): Cd > Pb > Zn > Hg > Cu > Ni > As > Cr, corresponding EF range is respectively Cd0.07~11.07 (average value
1.25), Pb0.13~4.72 (average value 1.16), Zn 0.31~7.59 (average value 1.15), Hg0.10~7.33 (average value
1.11), Cu 0.19~6.74 (average value 1.06), Ni0.30~4.40 (average value 1.022) As 0.19~10.32 are (average
Value 1.016) and Cr 0.32~3.17 (average value 1.01), display research area's range endosexine heavy metal pollution of soil is by the mankind
Activity influences extensive；Heavy Metal Accumulation is above 30% because of the ratio that mankind's activity is enriched within the scope of research area, each element EF value
Ratio greater than 1.0 is from big to small successively are as follows: Pb 51.37%, Cr 50.46%, Hg 49.54%, Ni 47.72%, Cd
41.86%, Cu 39.48%, Zn 37.11% and As 35.83%.
According to step (4), heavy metal pollution of soil degree ground index of bunching calculation formula are as follows:
I geo=log2[Cn/Cbaseline] (2)
CnIt is test elements content, BnIt is the corresponding background value of test elements, the heavy metal member calculated by standardized method
Plain environmental geochemistry baseline value " Cbaseline" instead I geo=log in index of bunching method2[Cn/(1.5×Bn)] " 1.5
×Bn", index of bunching formula improves over the ground, to eliminate the influence of geologic setting.
By the way that ground index of bunching is divided into 7 grades, for evaluating Heavy Metal Pollution in Sediment degree.
Its evaluation criterion is Igeo < 0, and levels of contamination is 0 grade, is indicated pollution-free；0≤Igeo < 1, levels of contamination 1
Grade indicates pollution-free and arrives slight pollution；1≤Igeo < 2, levels of contamination are 2 grades, indicate intermediate pollution；2≤Igeo < 3, it is dirty
Contaminating rank is 3 grades, indicates intermediate pollution to strong pollution；3≤Igeo < 4, levels of contamination are 4 grades, indicate strong pollution；4≤Igeo
< 5, levels of contamination are 5 grades, indicate to pollute pole strength pollution by force；Igeo >=5, levels of contamination are 6 grades, indicate extremely strong pollution.
Ground index of bunching evaluation result such as Fig. 4, obtain research area's topsoil heavy metal element index of bunching range according to
It is secondary be As-2.28~3.25 (average -0.21), Cd-3.44~3.69 (average -0.07), Cr-1.84~1.94 (it is average -
0.52), Cu-1.76~4.10 (average -0.09), Hg-3.42~2.94 (average -0.15), Ni-1.67~2.24 are (average
0.06), Pb -2.07~4.59 (average 0.02) and Zn-1.36~2.70 (average -0.07)；According to the classification mark of M ü ller
Standard, research area's range heavy metal pollution of soil are mainly mild-moderate pollution, and the slight above pollution ratio is descending successively
Are as follows: Cr 51.55%, Pb49.0%, Ni46.63%, Hg 46.45%, Cd39.70%, As39.34%, Zn36.61% and
Cu34.79%.
Comprehensive enrichment factor and ground index of bunching evaluation result screen wherein heavy metal element EF's and Igeo to every sample
Maximum value, as the EF value and Igeo value on the sample ground, as the result is shown 96.54% sample heavy metal accumulation inputted by human activity
Cause, because slightly the above pollution ratio is up to 30.41% to heavy metal-polluted soil caused by human activity.Meanwhile studying area's range
7.28% sample at least one of heavy metal element EF be greater than 1.0 and Igeo value less than zero, these samples heavy metal element it is tired
Product is mainly caused by mankind's activity input, level of pollution has not yet been reached now, with continually entering for heavy metal element, soil weight
The risk of metallic pollution is also continuously improved.
According to step (5) and (6), farming land heavy metal pollution of soil situation is detected, by GIS information system,
Each sampling point heavy metal element EF and Igeo evaluation result is associated with corresponding figure spot spatial positional information, using inverse distance
The method of the least square of weighting carries out evaluation data interpolating to research all farming land figure spots of area's range, and passes through selection week
The attribute value of the node function substitution discrete point of side sampled point, evaluates superposition EF evaluation method using Igeo to characterize Shaoxing cities and towns
Periphery farming land range heavy metal pollution of soil degree spatial distribution (Fig. 5) carries out research area's farming land from geographical space
The heavy metal pollution origin cause of formation differentiates, heavy metal pollution of soil range defines and Spatial Prediction of Soil Heavy Metal Pollution early warning.
By using above-mentioned technical proposal, 1. research area's farming land effect of fertilizer As, Cd, Cr, Cu, Hg, Ni,
Pb and Zn content range is respectively 2.28~106.00mg kg-1, 0.04~4.91mg kg-1, 16.00~221.00mg kg-1、
12.90~752.00mg kg-1, 0.03~2.31mg kg-1, 6.76~102.00mg kg-1With 12.40~245.00mg
kg-1, 4 kinds of element space variations such as Cd, Hg, As and Zn are more obvious, and heavy metal exception Spring layer concentrates on metal mine and print
Enterprise periphery is contaminated, Spring layer is in axis zonal distribution, abnormal to have along water system to low-lying region of no relief migration trend.
2. establishing research area's farming land soil weight using standardized method using Eu, Sm and Sc element as normalization factor
Metal As, Cd, Cr, Cu, Hg, Ni, Pb and Zn environmental geochemical baseline, with obtaining research area's farming land heavy metal-polluted soil environment
Geochemistry baseline value is respectively 11.13mg kg-1、Cd 0.38mg kg-1、Cr 57.49mg kg-1、Cu 43.86mg kg-1、
Hg 0.30mg kg-1、Ni 21.55mg kg-1、Pb 51.91mg kg-1With Zn 132.68mg kg-1。
3., can effective evaluation cities and towns periphery using enrichment factor and ground index of bunching method using baseline value as Main Factors
Farming land heavy metal-polluted soil accumulates the degree by the effect of human activity, and to each sample heavy metal-polluted soil enrichment condition and pollution
Degree is evaluated, and evaluation result relies on GIS spatial analysis, is evaluated superposition EF evaluation method using Igeo, is preferably realized from ground
Reason is spatially to research area's farming land carries out the differentiation of the heavy metal pollution origin cause of formation, heavy metal pollution of soil range defines and a soil huge sum of money
Belong to pollution prediction early warning, it is horizontal to promote cities and towns periphery farming land heavy metal pollution of soil risk management and control.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of application method based on environmental geochemical baseline, it is characterised in that: the steps include:
(1) for statistical analysis to heavy metal-polluted soil spatial distribution characteristic；
(2) heavy metal-polluted soil environmental geochemical baseline model is established；
(3) heavy metal-polluted soil enrichment factor is calculated；
(4) to heavy metal pollution of soil degree index of bunching calculates；
(5) heavy metal pollution of soil range caused by human activity is identified；
(6), spatial prediction is carried out to heavy metal pollution of soil range caused by human activity.
2. a kind of application method based on environmental geochemical baseline according to claim 1, it is characterised in that: according to step
Suddenly (1), it is for statistical analysis to pedotheque test data using IBM Statistics Spss19.0 software, then apply
Arcgis10.2 software, using distance weighted inverse ratio difference approach, point 15 grades of drafting geo-chemical element anomaly figures.
3. a kind of application method based on environmental geochemical baseline according to claim 1, it is characterised in that: according to step
Suddenly (2) screen suitable normalization factor, uniformly choose 1/8 ratio topsoil sample, stable testing element Li, Eu, Sc and Sm
Content, and Li, Eu, Sc and Sm average value are calculated after rejecting 2 times of deviations, then using SPSS software to heavy metal element and stabilization
Element carries out Pearson correlation analysis.
4. a kind of application method based on environmental geochemical baseline according to claim 1, it is characterised in that: according to step
Suddenly (3) improve traditional enrichment factor (EF) evaluation method based on environmental geochemical baseline value, evaluate heavy metal-polluted soil
Influence degree of the accumulation by mankind's activity.
5. a kind of application method based on environmental geochemical baseline according to claim 4, it is characterised in that: soil weight
Metal enrichment factor calculation formula are as follows:
EF=(Csample/Bsample)/(Cbaseline/Bbaseline) (1)
(Csample/Bsample) be topsoil heavy metal element test concentrations relative standard's factor test concentrations ratio；
(Cbaseline/Bbaseline) be heavy metal element background value relative standard's factor background value ratio.
6. a kind of application method based on environmental geochemical baseline according to claim 5, it is characterised in that: by fixed
The environmental geochemical baseline value calculated is measured to correct heavy metal-polluted soil enrichment factor, using EF=1.0 as evaluation criterion, EF≤
1.0, it is believed that heavy metal element is entirely derived from crust materials or is enriched with by weathering process；EF > 1.0, it is believed that part weight
Metallic element derives from mankind's activity.
7. a kind of application method based on environmental geochemical baseline according to claim 5, it is characterised in that: according to step
Suddenly (4), heavy metal pollution of soil degree ground index of bunching calculation formula are as follows:
I geo=log2[Cn/Cbaseline] (2)
CnIt is test elements content, BnIt is the corresponding background value of test elements, the heavy metal element ring calculated by standardized method
Condition Geochemistry baseline value " Cbaseline" instead I geo=log in index of bunching method2[Cn/(1.5×Bn)] " 1.5 ×
Bn", index of bunching formula improves over the ground, to eliminate the influence of geologic setting.
8. a kind of application method based on environmental geochemical baseline according to claim 7, it is characterised in that: pass through by
Ground index of bunching is divided into 7 grades, for evaluating Heavy Metal Pollution in Sediment degree.
9. a kind of application method based on environmental geochemical baseline according to claim 9, it is characterised in that: it is evaluated
Standard is Igeo < 0, and levels of contamination is 0 grade, is indicated pollution-free；0≤Igeo < 1, levels of contamination are 1 grade, indicate pollution-free and arrive
Slight pollution；1≤Igeo < 2, levels of contamination are 2 grades, indicate intermediate pollution；2≤Igeo < 3, levels of contamination are 3 grades, are indicated
Intermediate pollution is polluted to strong；3≤Igeo < 4, levels of contamination are 4 grades, indicate strong pollution；4≤Igeo < 5, levels of contamination 5
Grade indicates to pollute pole strength pollution by force；Igeo >=5, levels of contamination are 6 grades, indicate extremely strong pollution.
10. a kind of application method based on environmental geochemical baseline according to claim 1, it is characterised in that: according to
Farming land heavy metal pollution of soil situation is detected in step (5) and (6), by GIS information system, by each sampling point huge sum of money
Belong to element EF and Igeo evaluation result to be associated with corresponding figure spot spatial positional information, the minimum two weighted using inverse distance
The method of power carries out evaluation data interpolating to research all farming land figure spots of area's range, and passes through the section of selection periphery sampled point
Point function substitutes the attribute value of discrete point, evaluates superposition EF evaluation method using Igeo to characterize Shaoxing cities and towns periphery farming land model
Heavy metal pollution of soil degree spatial distribution is enclosed, the heavy metal pollution origin cause of formation is carried out to research area's farming land from geographical space and is sentenced
Not, heavy metal pollution of soil range defines and Spatial Prediction of Soil Heavy Metal Pollution early warning.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810713707.5A CN108959554A (en) | 2018-06-29 | 2018-06-29 | A kind of application method based on environmental geochemical baseline |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810713707.5A CN108959554A (en) | 2018-06-29 | 2018-06-29 | A kind of application method based on environmental geochemical baseline |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108959554A true CN108959554A (en) | 2018-12-07 |
Family
ID=64484979
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810713707.5A Pending CN108959554A (en) | 2018-06-29 | 2018-06-29 | A kind of application method based on environmental geochemical baseline |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108959554A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109920492A (en) * | 2019-03-26 | 2019-06-21 | 中国水利水电科学研究院 | A kind of method of plumbic harm parsing in water body deposit |
| CN112378983A (en) * | 2020-10-19 | 2021-02-19 | 江西省地质工程(集团)公司 | Geological survey soil testing result statistical analysis system |
| CN115754220A (en) * | 2022-02-10 | 2023-03-07 | 江西省地质局第十地质大队 | Regional soil heavy metal source analysis and evaluation method based on geological background |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2029321C1 (en) * | 1992-04-29 | 1995-02-20 | Институт минералогии, геохимии и кристаллохимии редких элементов | Method of detection of technology-related pollution of soils with nickel, copper, zinc and lead |
| CN102636632A (en) * | 2012-04-25 | 2012-08-15 | 上海交通大学 | Method for generating comprehensive evaluation map of heavy metal pollution of polder soil |
| CN104636627A (en) * | 2015-02-28 | 2015-05-20 | 张霖琳 | Soil heavy metal ecologic risk evaluation method |
| CN107491878A (en) * | 2017-08-19 | 2017-12-19 | 安徽省环境科学研究院 | Coal field heavy metal pollution of soil Practical Appraisal |
| CN107545103A (en) * | 2017-08-19 | 2018-01-05 | 安徽省环境科学研究院 | Coal field heavy metal content in soil spatial model method for building up |
| CN107774705A (en) * | 2017-11-14 | 2018-03-09 | 中国环境科学研究院 | A kind of crop restorative procedure for cutting down agricultural land soil cadmium pollution |
-
2018
- 2018-06-29 CN CN201810713707.5A patent/CN108959554A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2029321C1 (en) * | 1992-04-29 | 1995-02-20 | Институт минералогии, геохимии и кристаллохимии редких элементов | Method of detection of technology-related pollution of soils with nickel, copper, zinc and lead |
| CN102636632A (en) * | 2012-04-25 | 2012-08-15 | 上海交通大学 | Method for generating comprehensive evaluation map of heavy metal pollution of polder soil |
| CN104636627A (en) * | 2015-02-28 | 2015-05-20 | 张霖琳 | Soil heavy metal ecologic risk evaluation method |
| CN107491878A (en) * | 2017-08-19 | 2017-12-19 | 安徽省环境科学研究院 | Coal field heavy metal pollution of soil Practical Appraisal |
| CN107545103A (en) * | 2017-08-19 | 2018-01-05 | 安徽省环境科学研究院 | Coal field heavy metal content in soil spatial model method for building up |
| CN107774705A (en) * | 2017-11-14 | 2018-03-09 | 中国环境科学研究院 | A kind of crop restorative procedure for cutting down agricultural land soil cadmium pollution |
Non-Patent Citations (1)
| Title |
|---|
| 张颖慧: "基于环境地球化学基线的合肥地区土壤重金属元素的空间分布及污染评价", 《万方数据》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109920492A (en) * | 2019-03-26 | 2019-06-21 | 中国水利水电科学研究院 | A kind of method of plumbic harm parsing in water body deposit |
| CN109920492B (en) * | 2019-03-26 | 2020-12-01 | 中国水利水电科学研究院 | Method for analyzing lead pollution source in water body sediment |
| CN112378983A (en) * | 2020-10-19 | 2021-02-19 | 江西省地质工程(集团)公司 | Geological survey soil testing result statistical analysis system |
| CN112378983B (en) * | 2020-10-19 | 2023-12-05 | 江西省地质局工程地质大队 | Geological survey soil detection result statistical analysis system |
| CN115754220A (en) * | 2022-02-10 | 2023-03-07 | 江西省地质局第十地质大队 | Regional soil heavy metal source analysis and evaluation method based on geological background |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Khaledian et al. | Assessment and monitoring of soil degradation during land use change using multivariate analysis | |
| CN111652462B (en) | Agricultural land heavy metal pollution and potential ecological risk evaluation method | |
| Atteia et al. | Geostatistical analysis of soil contamination in the Swiss Jura | |
| Filstrup et al. | Regional variability among nonlinear chlorophyll—phosphorus relationships in lakes | |
| Sandin et al. | Local, landscape and regional factors structuring benthic macroinvertebrate assemblages in Swedish streams | |
| Young et al. | Defining geographic soil bodies by landscape position, soil taxonomy, and cluster analysis | |
| Kalaivanan et al. | Spatial assessment of groundwater quality using water quality index and hydrochemical indices in the Kodavanar sub-basin, Tamil Nadu, India | |
| Leonardsson et al. | Theoretical and practical aspects on benthic quality assessment according to the EU-Water Framework Directive–examples from Swedish waters | |
| CN108959554A (en) | A kind of application method based on environmental geochemical baseline | |
| CN111272960B (en) | Isotope and year measurement combined shallow groundwater nitrate source analysis method | |
| Sachs | North Pacific radiolarian assemblages and their relationship to oceanographic parameters | |
| CN110362949A (en) | A kind of landslide sensitivity assessment method neural network based | |
| CN110826866B (en) | Method for determining geochemical background value of soil environment of mining area in mineral resource concentration | |
| Bourennane et al. | Exploring the spatial relationships between some soil properties and wheat yields in two soil types | |
| CN111027810A (en) | Mountain torrent disaster distribution driving force evaluation method in super-large area | |
| Davies et al. | Estimating nutrient concentrations from catchment characteristics across the UK | |
| CN106528788A (en) | Method for analyzing space distribution feature of ground rainfall runoff pollution based on GIS (Geographic Information System) technology | |
| Carranza | Usefulness of stream order to detect stream sediment geochemical anomalies | |
| Nguyen et al. | Application of Entropy weight in groundwater quality index (EWQI) and GIS for groundwater quality zoning in the Southeastern Coastal region, Vietnam | |
| Bažon et al. | Soil geochemistry as a component of terroir of the wine-growing station Jazbina, Zagreb | |
| Donnici et al. | Utilizing benthic foraminifera to explore the environmental condition of the Laizhou Bay (Bohai Sea, China) | |
| Houk et al. | Assessing the effects of non-point source pollution on American Samoa’s coral reef communities | |
| Xiaoyan et al. | Spatial variability and pattern analysis of soil properties in Dehui city, Jilin province | |
| Tsoi et al. | How do abiotic environmental variables shape benthic diatom assemblages in subtropical streams? | |
| Moosavi et al. | Spatial variability of plant-available micronutrients in the surface and subsurface layers of a calcareous soil. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181207 |
|
| RJ01 | Rejection of invention patent application after publication |