CN113469493A - Heavy metal combined pollution risk assessment method based on independent action model - Google Patents
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- 229910001385 heavy metal Inorganic materials 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000009471 action Effects 0.000 title claims abstract description 18
- 238000012502 risk assessment Methods 0.000 title claims abstract description 9
- 239000000203 mixture Substances 0.000 claims abstract description 38
- 230000000694 effects Effects 0.000 claims abstract description 37
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 8
- 231100000719 pollutant Toxicity 0.000 claims abstract description 8
- 230000035945 sensitivity Effects 0.000 claims abstract description 5
- 231100000048 toxicity data Toxicity 0.000 claims description 10
- 230000007613 environmental effect Effects 0.000 claims description 7
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 230000001419 dependent effect Effects 0.000 claims description 2
- 238000012886 linear function Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 claims description 2
- 230000009467 reduction Effects 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims 1
- 239000002689 soil Substances 0.000 abstract description 17
- 238000011156 evaluation Methods 0.000 abstract description 8
- 230000001988 toxicity Effects 0.000 abstract description 4
- 231100000419 toxicity Toxicity 0.000 abstract description 4
- 235000016709 nutrition Nutrition 0.000 abstract 2
- 238000007796 conventional method Methods 0.000 abstract 1
- 230000007547 defect Effects 0.000 abstract 1
- 230000035764 nutrition Effects 0.000 abstract 1
- 239000011701 zinc Substances 0.000 description 8
- 241000894007 species Species 0.000 description 5
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 229910052725 zinc Inorganic materials 0.000 description 3
- 240000007594 Oryza sativa Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 241000209140 Triticum Species 0.000 description 2
- 235000021307 Triticum Nutrition 0.000 description 2
- HCHKCACWOHOZIP-UHFFFAOYSA-N Zinc Chemical compound [Zn] HCHKCACWOHOZIP-UHFFFAOYSA-N 0.000 description 2
- 229910052793 cadmium Inorganic materials 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 241001614060 Amynthas aspergillus Species 0.000 description 1
- 241000222120 Candida <Saccharomycetales> Species 0.000 description 1
- 241000223935 Cryptosporidium Species 0.000 description 1
- 241000243686 Eisenia fetida Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 241000588724 Escherichia coli Species 0.000 description 1
- 244000068988 Glycine max Species 0.000 description 1
- 235000010469 Glycine max Nutrition 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 241000244206 Nematoda Species 0.000 description 1
- 240000006394 Sorghum bicolor Species 0.000 description 1
- 235000011684 Sorghum saccharatum Nutrition 0.000 description 1
- 244000098338 Triticum aestivum Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- BDOSMKKIYDKNTQ-UHFFFAOYSA-N cadmium atom Chemical compound [Cd] BDOSMKKIYDKNTQ-UHFFFAOYSA-N 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 229910052745 lead Inorganic materials 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 150000002739 metals Chemical class 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention discloses a heavy metal combined pollution risk assessment method based on an independent action model. Fitting the existing heavy metal to biotoxicity data of different nutritional levels, constructing a Species Sensitivity (SSD) curve model, obtaining different effect values under the environment concentration of single heavy metal according to the curve model, calculating the total effect according to the independent action model, and judging the ecological risk under the environment concentration by comparing the total effect value with the effect value of 5% harmful concentration. The method utilizes the toxicity modeling of heavy metals on organisms with different nutrition levels, calculates the effect value of a heavy metal mixture through a traditional independent action model, overcomes the defect that the conventional method can only evaluate the risk of single heavy metal, and is suitable for the heavy metal mixed pollutants with independent action in soil. The method is simple, convenient and quick to operate, low in evaluation cost and accurate in evaluation result.
Description
Technical Field
The invention belongs to the technical field of risk assessment of environmental mixed pollutants, and particularly relates to an ecological risk assessment method for soil heavy metal combined pollution based on an independent action model.
Background
The soil is used as an important accumulation reservoir of bioavailable heavy metals, and the heavy metals contained in the soil can be enriched by 10 times by plants and animals through a food chain and then are transmitted by the food chain, so that the soil is harmful to human health. Currently, ecological assessment methods for single heavy metal exist mainly, in recent years, soil heavy metal pollution exists mostly as mixed pollution, and effects generated among different heavy metals have potential risks to human health. However, the existing methods for evaluating the heavy metal mixture are few, and the joint toxicity of all the mixtures cannot be accurately predicted, so a new method for predicting the joint toxicity of the heavy metal mixture needs to be constructed, and a reliable technical means is provided for risk evaluation of the heavy metal mixture.
The traditional heavy metal evaluation method mainly comprises a single-factor index method, an internal Merlot comprehensive index method and the like, wherein the single-factor pollution index method and the soil heavy metal single-factor pollution index method are one of common technologies and methods for evaluating pollution in water, soil, atmospheric environment or river sediments, and the specific calculation formula is as follows:
Piis a single factor index of the heavy metal pollutants, and the larger the Pi value is, the more serious the pollution received by the soil environment is. Ci is the actually measured concentration, S is the environmental quality standard of the soil heavy metal, and the evaluation method of the single-factor index can only reflect the pollution state of a single heavy metal and is only suitable for the pollution evaluation of a single factor. The method for comprehensively evaluating and analyzing the internal Meiro comprehensive pollution index integrates a comprehensive evaluation analysis method for considering soil as a whole, namely comprehensively evaluating by using the internal Meiro comprehensive pollution index method, and comprises the following specific calculation modes:
i is the inner Metro contamination index; piIs a single factor index of a certain element in the soil; pimax 2The method considers the influence of high content of heavy metal on the soil environment quality, but does not consider each element in the soilThe toxicity of heavy metals has influence on organisms, and the method can only reflect the pollution degree of the heavy metals and is difficult to reflect the risk level of an ecosystem.
The soil heavy metal combined pollution ecological risk assessment method based on the independent action model is used for fitting the toxicity data of heavy metals on various organisms, establishing an SSD curve model, and calculating the mixed risk entropy by using the independent action model, so that the ecological risk of the heavy metals on the soil organism level under the concentration can be accurately reflected.
Disclosure of Invention
The invention aims to provide a soil heavy metal combined pollution ecological risk assessment method based on a concentration independent action model.
The basic idea of the invention is to fit an SSD curve model by utilizing a nonlinear function according to toxicity data of heavy metals on different terrestrial organisms in the existing literature, and calculate HC of each heavy metal5And calculating by using an independent action model to obtain a 5% harmful concentration effect and a total effect of the environmental heavy metal mixture, and evaluating the ecological risk of the heavy metal mixture under the environmental concentration by comparing the two effects.
The method comprises the following specific steps:
(1) fitting species sensitivity profiles of all individual heavy metals using non-linear functions
Collecting toxicity data of different heavy metals to different terrestrial organisms, taking the logarithmic form of the species toxicity data (LC50) with the base 10 as the abscissa (x) and the corresponding cumulative probability (namely equation (1)) as the ordinate (y), drawing a species sensitivity distribution curve (SSD curve), and performing optimization fitting on the SSD curve by using a logistic function (LOD) (namely equation (2));
toxicity data are ranked from small to large with the numbers i, i ═ 1,2,3, …, N (N is the number of species).
Wherein x represents an independent variable, y represents a dependent variable, a represents 50% effect concentration, and b represents the slope of the curve;
(2) calculating the effective concentration of the heavy metal mixture
According to the fitted SSD curve, 5% Harmful Concentrations (HC) of different heavy metals can be obtained5) The effect corresponding to the concentration of a single heavy metal can be calculated according to an independent action model formula (namely equation (3)) to obtain the effect of 5% harmful concentration of the heavy metal mixture; the total effect of the heavy metal mixture in the environment is calculated by utilizing an independent action model formula (namely equation (3)) according to different heavy metal concentrations in the environment,
wherein, CmixDenotes the sum of the concentrations of the individual components in the mixture, CiDenotes the concentration of the ith component in the mixture, E (c)i) Indicates that the concentration of the ith component alone is ciAn effect produced by time E (c)mix) Is a mixture at a concentration of cmixThe total effect produced.
(3) Assessing heavy metal ecological risks according to contrast effect
Comparison of the Effect of 5% harmful concentration of heavy Metal mixtures
And the total effect of the environmental heavy metal mixture (E (c)mix) When in use), when
≤E(cmix) If the mixed pollutants possibly cause medium and high risks, taking corresponding risk reduction measures; when in use
And judging that the mixed pollutants have no risk.
The method can accurately evaluate the ecological risk of the heavy metal pollutants in the environment, and can be used for evaluating the heavy metal mixture with independent action. The invention provides a reliable technical means for risk assessment of heavy metal mixtures in the environment.
Description of the drawings:
FIG. 1 is a SSD curve for the heavy metal Zn in the example of the invention.
FIG. 2 is a SSD curve for heavy metal Pb in an embodiment of the present invention.
FIG. 3 is a SSD curve for heavy metal Cd in an embodiment of the invention.
FIG. 4 is a flow chart of the present invention.
The specific implementation mode is as follows:
the above-described scheme is further illustrated below with reference to specific examples. It should be understood that these examples are for illustrative purposes and are not intended to limit the scope of the present invention. The conditions used in the examples may be further adjusted according to the conditions of the particular manufacturer, and the conditions not specified are generally the conditions in routine experiments.
Example (b):
this example is to evaluate heavy metal pollution in a lead and zinc waste mining area in village of town thinking of Xingteng, Yangxi city, Guilin, Guangxi province. Taking the next sampling point of the mining area as a demonstration, taking three heavy metals of Pb (lead), Zn (zinc) and Cd (cadmium) as evaluation metals, wherein the contents of the three heavy metals at the point are shown in Table 1;
TABLE 1 spots 1 contents of three heavy metals
| Zn(mg/kg) | Pb(mg/kg) | Cd(mg/kg) | |
| Sample point 1 | 846.5024 | 495.5794 | 2.8081 |
The method comprises the following specific steps:
(1) collecting and sorting toxicity data of different heavy metals on different terrestrial organisms, as shown in table 2, and fitting SSD curves of all single heavy metals by utilizing a nonlinear function;
TABLE 2 toxicity data (LC) of different heavy metals for different species50)
| Species (II) | Zn(mg/kg) | Pb(mg/kg) | Cd(mg/kg) |
| Candida species | 391.0000 | ─ | 3930.0000 |
| Fisher Escherichia coli | 705.0000 | ─ | 1520.4000 |
| Wheat (Triticum aestivum L.) | 996.0000 | ─ | ─ |
| Eisenia foetida | 1010.0000 | 4480.0000 | 1843.0000 |
| Pheretima aspergillum (Megascoleus aspergillum) | 1567.0000 | ─ | ─ |
| Chinese Mongolian tide worm | 2977.9290 | 2917.0050 | ─ |
| Cryptosporidium sp | ─ | 645.0000 | ─ |
| Soybean | ─ | 1797.0000 | ─ |
| (sorghum) | ─ | 2359.0000 | ─ |
| Soil nematode door | ─ | ─ | 390.0000 |
| Wheat seedling | ─ | ─ | 449.0000 |
| Rice (Oryza sativa L.) with improved resistance to stress | ─ | ─ | 2168.0000 |
(2) Calculating the effect value of a single heavy metal under the environmental concentration by using a fitting curve equation, and calculating the total effect of the mixture by using an independent action model (namely equation 3), as shown in table 3;
TABLE 3 Effect values of different heavy metals and mixtures
| Zn | Pb | Cd | Total effect | |
| Effect of ambient concentration | 0.3882 | 0.1206 | 0.1671 | 0.5519 |
| 5% harmful concentration effect | 0.05 | 0.05 | 0.05 | 0.1426 |
(3) Comparing the total effect of the mixture under the environment concentration with the total effect value under the harmful concentration of 5%, wherein 0.5519 is more than 0.1426, the mixture of Zn, Pb and Cd under the environment concentration can be judged to have medium and high risks, and at the moment, measures for reducing the corresponding risks need to be taken.
The above description is only for the purpose of illustrating the present invention, and is not intended to limit the present invention in any way. Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. It is intended that any person skilled in the art can use the above disclosed methods and techniques to make many possible variations and modifications to the disclosed embodiments, or to modify an equivalent embodiment to an equivalent variation without departing from the spirit and scope of the present invention. Therefore, any simple modification, equivalent replacement, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention.
Claims (1)
1. A heavy metal combined pollution risk assessment method based on an independent action model is characterized by comprising the following specific steps:
(1) fitting species sensitivity profiles of all individual heavy metals using non-linear functions
Collecting and sorting toxicity data of different heavy metals on different terrestrial organisms, taking a logarithmic form of the toxicity data of species with the base 10 as an abscissa x and a corresponding cumulative probability as an ordinate y, namely equation (1), drawing a species sensitivity distribution curve (SSD curve), and performing optimization fitting on the SSD curve by using a logistic function (LOD), namely equation (2);
the toxicity data are sorted from small to large, and the serial numbers are i, i is 1,2,3, … and N, wherein N is the number of the substance;
wherein x represents an independent variable, y represents a dependent variable, a represents 50% effect concentration, and b represents the slope of the curve;
(2) calculating the total effect value and the 5% harmful concentration effect value of the environment heavy metal mixture
According to the fitted SSD curve, 5% Harmful Concentrations (HC) of different heavy metals are obtained5) Calculating the effect of 5% harmful concentration of the heavy metal mixture according to the independent action model formula of the equation (3) on the effect corresponding to the concentration of a single heavy metal; the total effect of the heavy metal mixture in the environment is calculated by utilizing an equation (3) independent action model,
wherein, CmixDenotes the sum of the concentrations of the individual components in the mixture, CiDenotes the concentration of the ith component in the mixture, E (c)i) Indicates that the concentration of the ith component alone is ciAn effect produced by time E (c)mix) Is a mixture at a concentration of cmixThe total effect produced;
(3) assessing heavy metal ecological risks according to contrast effect
Comparison of the Effect of 5% harmful concentration of heavy Metal mixtures
And the total effect of the environmental heavy metal mixture (E (c)mix) When in use), when
If the mixed pollutants possibly cause medium and high risks, taking corresponding risk reduction measures; when in use
And judging that the mixed pollutants have no risk.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104636627A (en) * | 2015-02-28 | 2015-05-20 | 张霖琳 | Soil heavy metal ecologic risk evaluation method |
| CN104730228A (en) * | 2013-12-18 | 2015-06-24 | 中国环境科学研究院 | Four phyla and ten families based method for obtaining ecological safety thresholds of lead and chromium in soil |
| CN104722569A (en) * | 2013-12-18 | 2015-06-24 | 中国环境科学研究院 | Method for determining ecological safety threshold of heavy metal in chemical engineering area |
| CN105608324A (en) * | 2015-12-30 | 2016-05-25 | 中国环境科学研究院 | Ecological risk assessment method of heavy metal in river basin sediment based on toxicity effect |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104730228A (en) * | 2013-12-18 | 2015-06-24 | 中国环境科学研究院 | Four phyla and ten families based method for obtaining ecological safety thresholds of lead and chromium in soil |
| CN104722569A (en) * | 2013-12-18 | 2015-06-24 | 中国环境科学研究院 | Method for determining ecological safety threshold of heavy metal in chemical engineering area |
| CN104636627A (en) * | 2015-02-28 | 2015-05-20 | 张霖琳 | Soil heavy metal ecologic risk evaluation method |
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Non-Patent Citations (1)
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