CN115271540B - Evaluation system for heat treatment coupling restoration effect of composite organic pollution field - Google Patents
Evaluation system for heat treatment coupling restoration effect of composite organic pollution field Download PDFInfo
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Abstract
The invention relates to the technical field of soil remediation evaluation, in particular to an evaluation system for a heat treatment coupling remediation effect of a composite organic contaminated site, which comprises the following steps: the system comprises a portal layer, a data layer, an evaluation layer, an interaction layer, an application layer and a facility layer, and is characterized by comprising a risk evaluation unit of the evaluation layer, wherein the evaluation unit comprises a secondary index and a tertiary index of each primary index of four primary indexes of human health risk (C1), ecological system risk (C2), economic evaluation (C3) and scientific research evaluation (C4); the evaluation system combines quantitative factors of human health risks and ecological system risks with qualitative factors of economic evaluation and scientific research evaluation through an analytic hierarchy process, and processes the quantitative factors in a unified mode, so that the systematicness and rationality of an evaluation model are ensured, experience and judgment of expert scholars can be provided for a decision maker to refer through quantitative forms, and the decision maker is facilitated to select a pollution site restoration scheme suitable for local actual conditions.
Description
Technical Field
The invention relates to the technical field of environmental soil restoration evaluation, in particular to an evaluation system for a coupling restoration effect of heat treatment of a composite organic pollution field.
Background
Currently, many countries employ risk-based management models for contaminated sites. According to the risk evaluation result, laws and regulations, technical and economic feasibility are comprehensively considered, and engineering control, system control or/and restoration is selected and implemented to reduce or eliminate the influence of sites and production facilities on the health and ecological environment of people.
In terms of risk assessment of a polluted site, although the domestic start is late, after many years of efforts, the blank of the related technical field is filled, and the method is well applied to solving the specific pollution problem in the domestic, such as meaning, effect and hope of coupling and using an in-situ thermal desorption technology and other related technologies in the polluted site repair written by Han Wei and the like.
However, the technical scheme is not fully considered for the problem of resource recycling, and lacks an accurate evaluation method for recycling the repaired soil and groundwater; moreover, the technical scheme is often only used as the core of pollution site treatment, and the problems of engineering control, economic evaluation, policy fitting degree and the like are rarely considered, namely, the purpose is single: only consider whether the repaired site can reach the corresponding site function. However, it is undeniable that the economic level of each domestic area is not developed synchronously, and the financial income of developed areas and remote areas is very different, so that if the best but high-cost technical scheme is selected when the repair scheme of the polluted site is selected, the economic development of the remote areas is definitely burdened.
Based on the concept, the inventor decides to design a comprehensive evaluation system for comprehensively considering factors such as pollution site conditions, local economic development level, human health risks, underground water function risks, ecological risks and the like, supplements Hera++ September software which is developed by the unit where the inventor is located and takes a technical scheme as a core, and enables the software to provide more comprehensive data support for a decision maker.
Disclosure of Invention
In order to comprehensively consider the health influence of composite organic pollutants in a polluted site on local sensitive people, the removal rate of the composite organic pollutants in the site, the site repair cost, the fitting degree of a local economic development level, the reuse of the site after repair and other factors of different repair methods, the inventor designs an evaluation system for the heat treatment coupling repair effect of the composite organic pollutants, combines quantitative factors of human health risks and ecological system risks with qualitative factors of economic evaluation and scientific research evaluation through an analytic hierarchy process, processes the quantitative factors in a unified way, ensures the systematicness and rationality of an evaluation model, and can provide the experience and judgment of expert scholars for a decision maker through a quantitative mode, thereby facilitating the decision maker to select a polluted site repair scheme suitable for the local actual situation.
The main technical scheme of the invention is described as follows:
an evaluation system for the heat treatment coupling repair effect of a composite organic pollution site comprises a portal layer, a data layer, an evaluation layer, an interaction layer, an application layer and a facility layer;
the portal layer is used for providing data information for units or individuals and authenticating the identity of users, including scientific research unit portals, cooperative university portals, public portals and management portals;
the data layer is a data base operated by the evaluation layer and is divided into an existing base database, single-input case data and a case database of the disclosed system:
the basic database comprises a site satellite photo database, a pollutant type database, a pollutant toxicology database, a soil characteristic parameter database and a soil restoration technology database;
the case data comprises field natural environment profile, geological features, field pollutant distribution table/graph, field building functional material table, field plant growth condition and exposure evaluation data of sensitive crowd;
the case database is used for endowing the authorized and data-screened case data with geographic coordinates, pollution time, pollution types, sensitive crowd composition, a repair method, repair cost and a repair period label, inputting the labels into the case database, realizing classified search and quick query, and providing data for researching regional, temporal and repair efficiency problems of pollution;
The functions of the evaluation layer comprise a risk evaluation unit and a repair scheme recommendation unit:
the risk assessment unit is used for establishing an assessment model reused after site repair based on data in the basic database and the case database;
the repair scheme recommending unit acquires scoring information by calculating the weight of each index in the evaluation model, and then screens out the optimal repair technology and the secondary repair scheme suitable for the polluted site;
the interaction layer comprises message interaction, application system integration and system service bus setting;
the application layer is a program service provided by the evaluation system for scientific research institutions, cooperative universities and the general public, and comprises scientific research project management, teaching project management and operation service;
the facility layer includes infrastructure and supervision and operation of the infrastructure.
Further, in the evaluation model, the weights of the respective indexes are determined by using a hierarchical analysis method, and the assignment scale is shown in table 1:
table 1 evaluation of the evaluation model assignment scale
It should be noted that the numbers of the various indexes in the invention do not represent the importance degree, and have no limiting meaning, but are only used for making the description clearer; the mathematical calculation method and the statistical knowledge related in the invention are conventional calculation methods and statistical methods in the prior art unless specified otherwise.
Further, the evaluation model includes four primary indexes: human health risk (C1), ecosystem risk (C2), economic evaluation (C3) and scientific research evaluation (C4), the weights of the four first-level indexes are determined, and a judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of human health risk (C1) C1 Weight W of ecosystem risk (C2) =7140/11939 C2 Weight W of economic evaluation (C3) =1785/11939 C3 Weight W of scientific evaluation (C4) =1064/11939 C4 ＝1950/11939。
Further, the secondary indicators associated with the human health risk (C1) include:
risk of carcinogenesis (C11): the use of an excess lifetime cancer risk expression concerns the potential carcinogenic risk of organic pollutants;
non-carcinogenic risk (C12): the risk quotient expression is adopted to pay attention to the non-carcinogenic risk of the organic pollutants;
further, the following normalization treatment was used to focus on the carcinogenic risk of organic pollutants (C11):
wherein x 'is' C11 For normalized risk of carcinogenesis (C11), x of organic pollutants of interest C11 The risk of carcinogenesis for organic pollutants of interest to the experimental group (C11);
the following normalization treatments were used to focus on the non-carcinogenic risk (C12) of organic contaminants:
wherein x 'is' C12 For normalized non-carcinogenic risk of organic pollutants of interest (C11), x C11 Non-carcinogenic risk of organic pollutants of interest to the experimental group (C11);
the weights of the oncogenic risk (C11) and the non-oncogenic risk (C12) are determined, the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of risk of carcinogenesis (C11) C1 Weight W of non-carcinogenic risk (C12) =8/9 C2 ＝1/9。
Further, secondary indicators associated with the risk (C2) of the ecosystem include soil (C21), groundwater (C22), atmosphere (C23) and vegetation growth (C24), and tertiary indicators associated with the above secondary indicators are as follows:
soil (C21): three-level indicators associated with the soil (C21) comprise a soil pH value (C211), a relative removal rate (C212) of the organic matters concerned in the soil, and a concentration (213) of the organic matters concerned in the soil based on a specified content;
groundwater (C22): three-level indicators associated with groundwater (C22) include groundwater pH (C221), removal rate (C222) of the organic matter of interest in the groundwater relative to the concentration (223) of the organic matter of interest in the groundwater based on a specified content;
atmospheric (C23): the three-level index related to the atmosphere (C23) comprises a relative removal rate (C231) of the organic matters concerned in the atmosphere, and the concentration (232) of the organic matters concerned in the atmosphere is based on a specified content;
vegetation growth (C24): three level metrics associated with vegetation growth (C24) include germination rate (C241), plant biomass (C242), and root metrics (C243).
Further, the weights of soil (C21), groundwater (C22), atmosphere (C23) and vegetation growth (C24) are determined, and the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of soil (C21) C21 Weight W of groundwater (C22) =3/10 C22 Weight W of atmosphere (C23) =3/10 C23 Weight W of =3/10, and vegetation growth (C24) C24 ＝1/10；
Soil pH (C211) was normalized using the following:
in the pH value 1 Is an index normalized by the pH value (C211) of the soil;
the relative removal rate (C212) of the organic matter of interest in the soil was normalized using the following formula:
wherein x 'is' C212 For the relative removal rate (C212), x of the organic matters of interest in the normalized soil C212 To focus on the concentration of organics in the soil after remediation,
is the concentration standard value of the organic matters in the soil, x C212-0 Concentration of organic matters in the soil before restoration is concerned;
the following normalization treatment was used to focus on the concentration of organics in soil based on the specified content (C213):
wherein x 'is' C213 For the concentration (C213) of the normalized organic matter of interest in the soil based on the specified value, x C213-1 Concentration of organic matter in soil, x, for the experimental group of interest C213-0 The method is characterized in that the method is a specified content of the organic matters in the soil for the attention of an experimental group;
determining the pH value (C211) of the soil, the relative removal rate (C212) of the organic matters in the soil and the weight corresponding to the concentration (C213) of the organic matters in the soil based on the specified content, wherein the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of soil pH (C211) C211 Weight W of organic matter of interest relative to removal rate (C212) in soil =252/947 C212 Weight W of organic matter of interest based on concentration of prescribed content (C213) in soil =600/947 C213 ＝95/947；
Normalizing the pH value (C221) of the groundwater as a three-level index, regarding the relative removal rate (C222) of the organic matters in the groundwater and regarding the concentration (C223) of the organic matters in the groundwater based on a specified content,
the groundwater pH (C221) was normalized using the following:
in the pH value 2 Is an index normalized by the pH value (C221) of the underground water;
the relative removal rate (C222) of the organic matters in the underground water is normalized by adopting the following formula:
wherein x 'is' C222 For the relative removal rate (C222), x of the organic matters of interest in the normalized groundwater C222 In order to pay attention to the concentration of organic matters in the underground water after restoration,
is the concentration standard value of the concerned organic matters in the underground water, x C222-0 Concentration of organic matters in groundwater before restoration is concerned;
the following normalization treatment was used to focus on the concentration of organics in groundwater based on the specified content (C223):
in the middle of，x′ C223 For the concentration (C223) of the normalized organic matter of interest in the groundwater based on the specified value, x C223-1 Concentration of organic matter in groundwater, x, for the experimental group of interest C223-0 The method is characterized in that the method is a specified content of the organic matters of interest in the underground water of an experimental group;
determining the pH value (C221) of the underground water, the relative removal rate (C222) of the organic matters concerned in the underground water and the weight corresponding to the concentration (C223) of the organic matters concerned in the underground water based on the specified content, wherein the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of groundwater pH (C221) C221 Weight W of the removal rate (C222) of the organic matter of interest in groundwater =8/33 C222 Weight W of organic matter of interest in groundwater based on concentration (C223) of prescribed content =20/33 C223 ＝5/33；
The relative removal rate (C231) of the organic matter of interest in the atmosphere was normalized using:
wherein x 'is' C231 For the relative removal rate (C212), x of the organic matters of interest in the normalized atmosphere C212 To focus on the concentration of organics in the atmosphere after repair,
is the concentration standard value of the organic matters in the atmosphere, x C212-0 Concentration of the organic matters in the atmosphere before repair is concerned;
the concentration of the organic matter in the atmosphere based on the specified content (232) is focused on using the following normalization process:
wherein x 'is' C232 For the concentration (C232), x of the organic matter of interest in the soil after normalization based on the specified value C232-1 Concentration of organic matter in soil, x, for the experimental group of interest C232-0 The method is characterized in that the method is a specified content of the organic matters in the soil for the attention of an experimental group;
Determining a relative removal rate (C231) of the organic matter of interest in the atmosphere, and determining a weight corresponding to the concentration (232) of the organic matter of interest in the atmosphere based on a specified content, wherein the determination matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of the relative removal rate (C231) of the organic matter of interest in the atmosphere C231 Weight W of the concentration (232) of the organic matter of interest based on a predetermined content in the atmosphere =3/4 C232 ＝1/4；
Normalizing the germination rate (C241), plant biomass (C242) and root index (C243) as three-level indexes,
germination rate (C241) was normalized using the following:
wherein x 'is' C241 For normalized germination (C241), x C241 For the germination rate of the experimental group,
for the minimum value of germination rate data of experimental group, < ->
Maximum value of germination rate data of experimental group;
plant biomass (C242) was normalized using the following:
wherein x 'is' C242 For normalized germination (C242), x C242 For the germination rate of the experimental group,
for the minimum value of germination rate data of experimental group, < ->
Maximum value of germination rate data of experimental group;
the root index (C243) is normalized using:
wherein x 'is' C243 As normalized root index (C243), x C242 As a root index of the experimental group,
is the minimum value of the root index of the experimental group, < + > >
The maximum value of the root index of the experimental group;
determining weights corresponding to germination rate (C241), plant biomass (C242) and root index (C243), and judging the matrix as follows:
calculating the eigenvector W of the matrix, namely:
weight W of germination percentage (C241) C241 Weight W of=200/299, plant biomass (C242) C242 Weight W of root index (C243) =64/299 C243 ＝35/299。
Further, the secondary indicators associated with the economic assessment (C3) include repair technology costs (C31), local quarter financial incomes (C32), support of local policies (C33), and acceptance of repair interference by the local masses (C34);
three-level indexes related to the repair technology cost (C31) comprise a repair period (C311) and a soil repair cost per unit volume (C312).
Further, normalization processes repair technology costs (C31), local quarter financial revenues (C32), support of local policies (C33), and acceptance of repair interference by local people (C34);
normalized treatment is used as three-level index of repair period (C311) and unit volume soil repair cost (C312):
repair period (C311) was normalized using the following:
wherein T' C311 For normalized repair period (C311), T C311 Repair cycle for experimental group (C311);
The cost per unit volume of soil remediation (C312) was normalized using:
wherein x 'is' C312 To normalized soil remediation cost per unit volume (C312), x C312 Cost per unit volume soil remediation (C312) for the experimental group;
and determining weights corresponding to the repair period (C311) and the soil repair cost (C312) in unit volume, wherein a judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of repair period (C311) C311 Weight W of soil remediation cost per unit volume (C312) =1/4 C312 ＝3/4；
Local quarter financial revenue (C32) is normalized using:
wherein x 'is' C32 For normalized local quarter financial revenue (C32), x C32 Financial revenue (C32) for the local quarter of the experimental group;
the support of processing local policies is normalized (C33) using:
wherein x 'is' C33 Support for normalized local policy (C33);
the acceptability (C34) of the local population for repairing the interference is normalized by:
wherein x 'is' C34 For normalized acceptability (C34) of local masses to repair interference, x C34 Acceptability of the local population for the experimental group to repair the interference (C34);
determining weights corresponding to repair technology cost (C31), local quarter financial income (C32), support degree of local policy (C33) and acceptance degree of local masses to repair interference (C34), wherein the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of repair technical cost (C31) C31 Weight W of local quarter financial income (C32) =23940/43097 C32 Weight W of support (C33) of local policy=12740/43097 C33 Weight W of local people acceptability of repair interference (C34) =3402/43097 C34 ＝1665/43097；
Further, the secondary index associated with scientific evaluation (C4) includes: the comprehensive removal efficiency (C41) of the repair technology, the maturity (C42) of the repair technology and the anti-interference degree (C43) of the repair technology on climate change.
Further, the comprehensive removal efficiency (C41) of the repair technique is calculated using the following formula:
wherein x 'is' C41 Comprehensive removal efficiency (C41) for the normalized repair technique;
maturity (C42) of the repair technique was normalized using:
wherein x 'is' C42 Maturity of normalized repair technique (C42), x C42-1 The number of faults occurring within 1 year of actual use for repairing technology of experimental group, x C42-0 The total number of times of practical use for the repair technology of the experimental group is put into practical use for 1 year;
the degree of resistance to weather (C43) using the following normalization treatment repair technique:
wherein x 'is' C43 To normalizeThe degree of resistance of the post-repair technology to weather (C43), x C43-1 To the cost of the repair technology of the experimental group for resisting the climate disturbance, x C43-0 The total repair cost of the repair technology of the experimental group;
determining the comprehensive removal efficiency (C41) of the repair technology, the maturity (C42) of the repair technology and the weight corresponding to the weather anti-interference degree (C43) of the repair technology, wherein the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of comprehensive removal efficiency (C41) of repair technique C41 Weight W of maturity of repair technique (C42) =231/353 C42 Weight W of degree of disturbance rejection of climate by repair technique (C43) =91/353 C44 ＝31/353。
Compared with the existing evaluation method of the repairing effect of the polluted site, the method has the following beneficial effects:
the invention designs an evaluation system for the coupling restoration effect of the heat treatment of the composite organic pollution field, which combines quantitative factors of human health risks and ecological system risks with qualitative factors of economic evaluation and scientific research evaluation through a analytic hierarchy process, and processes the quantitative factors in a unified way, thereby ensuring the systematicness and rationality of an evaluation model, providing experience and judgment of expert scholars for decision makers to refer through a quantitative mode, supplementing Hera++ _ September software which is researched and developed by the inventor and takes a technical scheme as a core, and further enabling the software to provide more comprehensive data support for the decision makers.
Drawings
FIG. 1 is a hierarchical relationship diagram of various metrics of an assessment model of the present invention;
FIG. 2 is a satellite diagram of the yellow rock outer east Pu plot in the experimental example of the present invention;
fig. 3 is a diagram showing the repair area of the yellow rock outer east pu land mass in the experimental example of the present invention.
Detailed Description
In order to further explain the manner and effects of the invention, a more complete description of the invention will be rendered by reference to the appended drawings.
Examples
The main purpose of the examples is to illustrate the specific constitution of the evaluation system of the design of the present invention.
An evaluation system for the heat treatment coupling repair effect of a composite organic pollution site comprises a portal layer, a data layer, an evaluation layer, an interaction layer, an application layer and a facility layer;
the portal layer is used for providing data information for units or individuals and authenticating the identity of users, including scientific research unit portals, cooperative university portals, public portals and management portals;
the data layer is a data base operated by the evaluation layer and is divided into an existing base database, single-input case data and a case database of the disclosed system:
the basic database comprises a site satellite photo database, a pollutant type database, a pollutant toxicology database, a soil characteristic parameter database and a soil restoration technology database;
The case data comprises field natural environment profile, geological features, field pollutant distribution table/graph, field building functional material table, field plant growth condition and exposure evaluation data of sensitive crowd;
the case database is used for endowing the authorized and data-screened case data with geographic coordinates, pollution time, pollution types, sensitive crowd composition, a repair method, repair cost and a repair period label, inputting the labels into the case database, realizing classified search and quick query, and providing data for researching regional, temporal and repair efficiency problems of pollution;
the functions of the evaluation layer comprise a risk evaluation unit and a repair scheme recommendation unit:
the risk assessment unit establishes an assessment model for reuse after site repair based on the data in the basic database and the case database,
referring to fig. 1, the metrics of the evaluation model include four primary metrics: human health risk (C1), ecosystem risk (C2), economic assessment (C3), scientific assessment (C4);
the secondary indicators associated with the human health risk (C1) as the primary indicators include: risk of carcinogenesis (C11), risk of non-carcinogenesis (C12);
the secondary indicators associated with the ecosystem risk (C2) as the primary indicators include: soil (C21), groundwater (C22), atmosphere (C23) and vegetation growth (C24);
The soil (C21) -associated tertiary indicators as the secondary indicators include: a soil pH value (C211), a relative removal rate (C212) of the organic matter of interest in the soil, and a concentration (213) of the organic matter of interest in the soil based on a predetermined content;
the three-level index related to the groundwater (C22) as the second-level index comprises the pH value (C221) of the groundwater, the relative removal rate (C222) of the organic matters concerned in the groundwater and the concentration (223) of the organic matters concerned in the groundwater based on the specified content;
the three-level index associated with the atmosphere (C23) as the second-level index includes a relative removal rate (C231) of the organic matter of interest in the atmosphere, and a concentration (232) of the organic matter of interest in the atmosphere based on a prescribed content;
three-level metrics associated with vegetation growth (C24) as two-level metrics include germination rate (C241), plant biomass (C242), and root metrics (C243);
the secondary indicators associated with the economic assessment (C3) as the primary indicator include repair technology cost (C31), local quarter financial income (C32), support of local policy (C33) and acceptance of repair interference by local people (C34);
the third-level indexes related to the repair technical cost (C31) serving as the second-level index comprise a repair period (C311) and a unit-volume soil repair cost (C312);
The secondary indexes associated with the scientific research evaluation (C4) serving as the primary indexes comprise: the comprehensive removal efficiency (C41) of the repair technology, the maturity (C42) of the repair technology and the anti-interference degree (C43) of the repair technology on climate change;
four primary indexes: human health risk (C1), ecosystem risk (C2), economic evaluation (C3) and scientific research evaluation (C4), the weights of the four first-level indexes are determined, and a judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of human health risk (C1) C1 Weight W of ecosystem risk (C2) =7140/11939 C2 Weight W of economic evaluation (C3) =1785/11939 C3 Weight W of scientific evaluation (C4) =1064/11939 C4 ＝1950/11939；
The following normalization treatments were used to focus on the carcinogenic risk of organic pollutants (C11):
wherein x 'is' C11 For normalized risk of carcinogenesis (C11), x of organic pollutants of interest C11 The risk of carcinogenesis for organic pollutants of interest to the experimental group (C11);
the following normalization treatments were used to focus on the non-carcinogenic risk (C12) of organic contaminants:
wherein x 'is' C12 For normalized non-carcinogenic risk of organic pollutants of interest (C11), x C11 Non-carcinogenic risk of organic pollutants of interest to the experimental group (C11);
the weights of the oncogenic risk (C11) and the non-oncogenic risk (C12) are determined, the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of risk of carcinogenesis (C11) C1 Weight W of non-carcinogenic risk (C12) =8/9 C2 ＝1/9；
The weights of soil (C21), groundwater (C22), atmosphere (C23) and vegetation growth (C24) are determined, and the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of soil (C21) C21 Weight W of groundwater (C22) =3/10 C22 Weight W of atmosphere (C23) =3/10 C23 Weight W of =3/10, and vegetation growth (C24) C24 ＝1/10；
Soil pH (C211) was normalized using the following:
in the pH value 1 Is an index normalized by the pH value (C211) of the soil;
the relative removal rate (C212) of the organic matter of interest in the soil was normalized using the following formula:
wherein x 'is' C212 For the relative removal rate (C212), x of the organic matters of interest in the normalized soil C212 To focus on the concentration of organics in the soil after remediation,
is the concentration standard value of the organic matters in the soil, x C212-0 Concentration of organic matters in the soil before restoration is concerned;
the following normalization treatment was used to focus on the concentration of organics in soil based on the specified content (C213):
wherein x 'is' C213 For the concentration (C213) of the normalized organic matter of interest in the soil based on the specified value, x C213-1 Concentration of organic matter in soil, x, for the experimental group of interest C213-0 The method is characterized in that the method is a specified content of the organic matters in the soil for the attention of an experimental group;
determining the pH value (C211) of the soil, the relative removal rate (C212) of the organic matters in the soil and the weight corresponding to the concentration (C213) of the organic matters in the soil based on the specified content, wherein the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of soil pH (C211) C211 Weight W of organic matter of interest relative to removal rate (C212) in soil =252/947 C212 Weight W of organic matter of interest based on concentration of prescribed content (C213) in soil =600/947 C213 ＝95/947；
Normalizing the pH value (C221) of the groundwater as a three-level index, regarding the relative removal rate (C222) of the organic matters in the groundwater and regarding the concentration (C223) of the organic matters in the groundwater based on a specified content,
the groundwater pH (C221) was normalized using the following:
in the pH value 2 Is an index normalized by the pH value (C221) of the underground water;
the relative removal rate (C222) of the organic matters in the underground water is normalized by adopting the following formula:
wherein x 'is' C222 For the relative removal rate (C222), x of the organic matters of interest in the normalized groundwater C222 In order to pay attention to the concentration of organic matters in the underground water after restoration,
is the concentration standard value of the concerned organic matters in the underground water, x C222-0 Concentration of organic matters in groundwater before restoration is concerned;
The following normalization treatment was used to focus on the concentration of organics in groundwater based on the specified content (C223):
wherein x 'is' C223 For the concentration (C223) of the normalized organic matter of interest in the groundwater based on the specified value, x C223-1 Concentration of organic matter in groundwater, x, for the experimental group of interest C223-0 The method is characterized in that the method is a specified content of the organic matters of interest in the underground water of an experimental group;
determining the pH value (C221) of the underground water, the relative removal rate (C222) of the organic matters concerned in the underground water and the weight corresponding to the concentration (C223) of the organic matters concerned in the underground water based on the specified content, wherein the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of groundwater pH (C221) C221 Weight W of the removal rate (C222) of the organic matter of interest in groundwater =8/33 C222 Weight W of organic matter of interest in groundwater based on concentration (C223) of prescribed content =20/33 C223 ＝5/33；
The relative removal rate (C231) of the organic matter of interest in the atmosphere was normalized using:
wherein x 'is' C231 For the relative removal rate (C212), x of the organic matters of interest in the normalized atmosphere C212 To focus on the concentration of organics in the atmosphere after repair,
is the concentration standard value of the organic matters in the atmosphere, x C212-0 Concentration of the organic matters in the atmosphere before repair is concerned;
The concentration of the organic matter in the atmosphere based on the specified content (232) is focused on using the following normalization process:
wherein x 'is' C232 For the concentration (C232), x of the organic matter of interest in the soil after normalization based on the specified value C232-1 Concentration of organic matter in soil, x, for the experimental group of interest C232-0 The method is characterized in that the method is a specified content of the organic matters in the soil for the attention of an experimental group;
determining a relative removal rate (C231) of the organic matter of interest in the atmosphere, and determining a weight corresponding to the concentration (232) of the organic matter of interest in the atmosphere based on a specified content, wherein the determination matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of the relative removal rate (C231) of the organic matter of interest in the atmosphere C231 Weight W of the concentration (232) of the organic matter of interest based on a predetermined content in the atmosphere =3/4 C232 ＝1/4；
Normalizing the germination rate (C241), plant biomass (C242) and root index (C243) as three-level indexes,
germination rate (C241) was normalized using the following:
wherein x 'is' C241 For normalized germination (C241), x C241 For the germination rate of the experimental group,
for the minimum value of germination rate data of experimental group, < ->
Maximum value of germination rate data of experimental group;
plant biomass (C242) was normalized using the following:
wherein x 'is' C242 For normalized germination (C242), x C242 For the germination rate of the experimental group,
for the minimum value of germination rate data of experimental group, < ->
Maximum value of germination rate data of experimental group;
the root index (C243) is normalized using:
wherein x 'is' C243 As normalized root index (C243), x C242 As a root index of the experimental group,
is the minimum value of the root index of the experimental group, < + >>
The maximum value of the root index of the experimental group;
determining weights corresponding to germination rate (C241), plant biomass (C242) and root index (C243), and judging the matrix as follows:
calculating the eigenvector W of the matrix, namely:
weight W of germination percentage (C241) C241 Weight W of=200/299, plant biomass (C242) C242 Weight W of root index (C243) =64/299 C243 ＝35/299；
Normalizing repair technology costs (C31), local quarter financial revenues (C32), local policy support (C33), and local mass acceptance for repair interference (C34);
normalized treatment is used as three-level index of repair period (C311) and unit volume soil repair cost (C312):
repair period (C311) was normalized using the following:
wherein T' C311 For normalized repair period (C311), T C311 Repair cycle for experimental group (C311);
the cost per unit volume of soil remediation (C312) was normalized using:
Wherein x 'is' C312 To normalized soil remediation cost per unit volume (C312), x C312 Cost per unit volume soil remediation (C312) for the experimental group;
and determining weights corresponding to the repair period (C311) and the soil repair cost (C312) in unit volume, wherein a judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of repair period (C311) C311 Weight W of soil remediation cost per unit volume (C312) =1/4 C312 ＝3/4；
Local quarter financial revenue (C32) is normalized using:
wherein x 'is' C32 For normalized local quarter financial revenue (C32), x C32 Financial revenue (C32) for the local quarter of the experimental group;
the support of processing local policies is normalized (C33) using:
wherein x 'is' C33 Support for normalized local policy (C33);
the acceptability (C34) of the local population for repairing the interference is normalized by:
wherein x 'is' C34 For normalized acceptability (C34) of local masses to repair interference, x C34 Is the local people of the experimental groupThe acceptance of repair interference (C34);
determining weights corresponding to repair technology cost (C31), local quarter financial income (C32), support degree of local policy (C33) and acceptance degree of local masses to repair interference (C34), wherein the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of repair technical cost (C31) C31 Weight W of local quarter financial income (C32) =23940/43097 C32 Weight W of support (C33) of local policy=12740/43097 C33 Weight W of local people acceptability of repair interference (C34) =3402/43097 C34 ＝1665/43097；
The overall removal efficiency (C41) of the repair technique is calculated using:
wherein x 'is' C41 Comprehensive removal efficiency (C41) for the normalized repair technique;
maturity (C42) of the repair technique was normalized using:
wherein x 'is' C42 Maturity of normalized repair technique (C42), x C42-1 The number of faults occurring within 1 year of actual use for repairing technology of experimental group, x C42-0 The total number of times of practical use for the repair technology of the experimental group is put into practical use for 1 year;
the degree of resistance to weather (C43) using the following normalization treatment repair technique:
wherein x 'is' C43 To the extent of weather resistance (C43), x for normalized repair technique C43-1 To the cost of the repair technology of the experimental group for resisting the climate disturbance, x C43-0 The total repair cost of the repair technology of the experimental group;
determining the comprehensive removal efficiency (C41) of the repair technology, the maturity (C42) of the repair technology and the weight corresponding to the weather anti-interference degree (C43) of the repair technology, wherein the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of comprehensive removal efficiency (C41) of repair technique C41 Weight W of maturity of repair technique (C42) =231/353 C42 Weight W of degree of disturbance rejection of climate by repair technique (C43) =91/353 C44 ＝31/353；
The repair scheme recommending unit acquires scoring information by calculating the weight of each index in the evaluation model, and then screens out the optimal repair technology and the secondary repair scheme suitable for the polluted site;
the interaction layer comprises message interaction, application system integration and system service bus setting;
the application layer is a program service provided by the evaluation system for scientific research institutions, cooperative universities and the general public, and comprises scientific research project management, teaching project management and operation service;
the facility layer includes infrastructure and supervision and operation of the infrastructure.
Experimental example
The main purpose of the experiment is to illustrate the design of the scheme of the invention under specific parameters.
1. Contaminated site profiling
In the experimental example, the polluted site is a yellow rock outer east Pu land block, the satellite diagram of the target site is shown in fig. 2, and the repair area range is shown in fig. 3; the target pollutant of the field which is in a mode of using and is at risk is 1,2 dichloroethane, and the polluted soil has strong pungent smell and is easy to cause human body discomfort.
The range of the buried depth of the ground is divided into an artificial accumulation layer (Qml) and a fourth ocean Liu Jiaohu phase deposition layer (Qmc) according to the formation deposition age and cause type, wherein the artificial accumulation layer is a hybrid filling and a plain filling, and the fourth ocean Liu Jiaohu phase deposition layer comprises layers of clay, silt, silty clay and the like.
2. Repair technique
The polluted site is divided into:
control zone: adopting an in-situ thermal desorption restoration method, wherein the target temperature of soil is 100 ℃, and the restoration time is 150 days; the restoration areas of the soil and the groundwater in the control area are 2800m 2 The repair depth was 16m.
Experimental area: adopting an in-situ thermal desorption-steam enhanced vapor extraction coupling restoration method, in particular a thermal conduction heating-steam enhanced vapor extraction coupling restoration method, wherein the target temperature of soil is 100 ℃, and the restoration time is 120 days; the repair areas of the soil and the groundwater in the experimental area are 200m 2 The restoration depth is 16.5m, and the soil volume weight of the field is 1.5g/cm 3 The porosity was 0.35.
3. Repair effect evaluation
3.1 assessment of human health risk (C1)
In the preliminary collation reference of the carcinogen list published by the world health organization International cancer research institute, 1, 2-dichloroethane is in the class 2B carcinogen list.
After repair of the control and test areas, the 1, 2-dichloroethane concentration in the field is shown in Table 2:
TABLE 2 1, 2-dichloroethane concentration in repair sites
After the polluted site is repaired, the scoring conditions of the thermal conduction heating-steam enhanced vapor extraction coupling repair method and the in-situ thermal desorption repair method in the human health risk (C1) serving as the first-level index are shown in Table 3:
TABLE 3 scoring of two repair methods in human health risk (C1)
3.2 ecosystem Risk (C2) assessment
After the polluted site is repaired, the scoring conditions of the thermal conduction heating-steam enhanced vapor extraction coupling repair method and the in-situ thermal desorption repair method in the ecosystem risk (C2) serving as the first-level index are shown in Table 4:
table 4 scoring of two repair methods in ecosystem risk (C2)
3.3 economic evaluation (C3)
After the polluted site is repaired, the scoring conditions of the thermal conduction heating-steam enhanced vapor extraction coupling repair method and the in-situ thermal desorption repair method in the economic evaluation (C3) serving as the first-level index are shown in Table 5:
table 5 scoring of two repair methods in economic assessment (C3)
3.4 scientific evaluation (C4)
After the polluted site is repaired, the scoring conditions of the thermal conduction heating-steam enhanced vapor extraction coupling repair method and the in-situ thermal desorption repair method in scientific research evaluation (C4) serving as a first-level index are shown in Table 6:
Table 6 scoring of two repair methods in scientific evaluation (C4)
3.5 comprehensive evaluation
After the polluted site is repaired, the comprehensive score conditions of the thermal conduction heating-steam enhanced vapor extraction coupling repair method and the in-situ thermal desorption repair method are shown in Table 7:
TABLE 7 Total score for two repair methods
The results in table 7 show that the scores of the thermal conduction heating-steam enhanced vapor extraction coupling repair method on the human health risk (C1), the ecological system risk (C2) and the scientific research evaluation (C4) are higher than those of the in-situ thermal desorption repair method, but the scores on the economic evaluation (C3) are slightly lower than those of the in-situ thermal desorption repair method, which accords with the actual conditions, so that the evaluation system designed by the invention can accurately evaluate the repair method in actual application.
The reason for the difference in data evaluation in table 7 is: because the corresponding air supply equipment and air supply pipelines are paved in the field for heat conduction heating-steam enhanced vapor extraction, the equipment cost is relatively high; although the heat conduction heating-steam enhanced vapor extraction coupling repairing method has higher equipment cost, on the premise of spending the same expense, the comprehensive treatment effect and evaluation are higher than those of the in-situ thermal desorption repairing method, so that a decision maker should consider the heat conduction heating-steam enhanced vapor extraction coupling repairing method preferentially when considering the repairing scheme.
Claims (10)
1. The utility model provides an evaluation system of compound organic pollution field heat treatment coupling restoration effect, includes portal layer, data layer, evaluation layer, interaction layer, application layer and facility layer, its characterized in that:
the portal layer is used for providing data information for units or individuals and authenticating the identity of users, including scientific research unit portals, cooperative college portals, public portals and management portals;
the data layer is a data base of the operation of the evaluation layer and is divided into an existing base database of a disclosed system, single-input case data and a case database:
the basic database comprises a site satellite photo database, a pollutant type database, a pollutant toxicology database, a soil characteristic parameter database and a soil restoration technology database;
the case data comprises field natural environment profile, geological features, field pollutant distribution table/graph, field building function material table, field plant growth condition and exposure evaluation data of sensitive crowd;
the case database is used for endowing the authorized and data-screened case data with labels of geographic coordinates, pollution time, pollution types, sensitive crowd composition, repair methods, repair cost and repair period, inputting the labels into the case database, realizing classified search and quick inquiry, and providing data for researching regional, temporal and repair efficiency problems of pollution;
The functions of the assessment layer comprise a risk assessment unit and a repair scheme recommendation unit:
the risk assessment unit establishes an assessment model for reuse after site repair based on data in the basic database and the case database;
the evaluation model contains four primary indices: human health risk C1, ecosystem risk C2, economic evaluation C3 and scientific evaluation C4
The repair scheme recommending unit obtains scoring information by calculating weights of four primary indexes in the evaluation model, and then screens out an optimal repair technology and a secondary repair scheme suitable for a polluted site;
the interaction layer comprises message interaction, application system integration and system service bus setting;
the application layer is a program service provided by the evaluation system for scientific research institutions, cooperative universities and the general public, and comprises scientific research project management, teaching project management and operation service;
the facility layer includes infrastructure and supervision and operation of the infrastructure.
2. The evaluation system for the heat treatment coupling repair effect of the composite organic contaminated site according to claim 1, wherein weights of the human health risk C1, the ecosystem risk C2, the economic evaluation C3 and the scientific evaluation C4 are determined, and a judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of human health risk C1 C1 Weight W of ecosystem risk C2 =7140/11939 C2 =1785/11939, economic assessment of weight W of C3 C3 =1064/11939, weight W of scientific evaluation C4 C4 ＝1950/11939。
3. The evaluation system for the heat treatment coupling repair effect of the composite organic contaminated site according to claim 2, wherein the secondary index associated with the human health risk C1 comprises:
risk of carcinogenesis C11: the use of an excess lifetime cancer risk expression concerns the potential carcinogenic risk of organic pollutants;
non-carcinogenic risk C12: the risk quotient expression is used to address the non-carcinogenic risk of organic pollutants.
4. A system for evaluating the effect of heat treatment coupling repair of a complex organic contaminated site according to claim 3, wherein the normalization process is performed on the cancerogenic risk C11 and the non-cancerogenic risk C12 as the secondary indexes, and the corresponding weights are determined, and the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of carcinogenic risk C11 C11 Weight W of non-carcinogenic risk C12 =8/9 C12 ＝1/9。
5. The evaluation system for coupling and repairing effects of heat treatment of a composite organic contaminated site according to claim 2, wherein the secondary indexes associated with the ecological system risk C2 comprise soil C21, groundwater C22, atmosphere C23 and vegetation growth C24, and the tertiary indexes associated with the secondary indexes are as follows:
Soil C21: the three-level indexes related to the soil C21 comprise a soil pH value C211, a relative removal rate C212 of the organic matters in the soil and a concentration 213 of the organic matters in the soil based on a specified content;
groundwater C22: the three-level indexes related to the underground water C22 comprise an underground water pH value C221, a relative removal rate C222 of the organic matters concerned in the underground water and a concentration 223 of the organic matters concerned in the underground water based on a specified content;
atmospheric C23: the three-level index related to the atmosphere C23 comprises a relative removal rate C231 of the organic matters concerned in the atmosphere, and the concentration 232 of the organic matters concerned in the atmosphere is based on a specified content;
vegetation growth C24: the three-level indexes associated with the vegetation growth C24 comprise a germination rate C241, a plant biomass C242 and a root index C243.
6. The evaluation system for the coupling and repairing effect of heat treatment of a composite organic contaminated site according to claim 5, wherein weights of soil C21, groundwater C22, atmosphere C23 and vegetation growth C24 are determined, and a judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of soil C21 C21 Weight W of groundwater C22 =3/10 C22 Weight W of atmosphere C23 =3/10 C23 Weight W of vegetation C24 =3/10 C24 ＝1/10；
The soil pH value C211, concentration C213 of the organic matters of interest in the soil based on the specified content and corresponding weight are determined by normalization treatment, and the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of soil pH C211 C211 Weight W of organic matter of interest in soil relative to removal rate C212 =252/947 C212 =600/947, weight W of the organic matter of interest in the soil based on the concentration C213 of the prescribed content C213 ＝95/947；
Normalization treatment is carried out on the pH value C221 of the underground water serving as a three-level index, the relative removal rate C222 of the organic matters in the underground water and the concentration C223 of the organic matters in the underground water based on the specified content are carried out, the corresponding weight is determined, and the judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of groundwater pH C221 C221 Weight W of the organic matter of interest in groundwater relative to removal rate C222 =8/33 C222 Weight W of organic matter of interest in groundwater based on concentration C223 of prescribed content =20/33 C223 ＝5/33；
The relative removal rate C231 of the organic matters of interest in the atmosphere, which is used as the three-level index, is normalized, the concentration 232 of the organic matters of interest in the atmosphere is based on the specified content, the corresponding weight is determined, and the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of the removal rate C231 of the organic matter of interest in the atmosphere C231 Weight W of the concentration 232 of the organic matter of interest based on a predetermined content in the atmosphere =3/4 C232 ＝1/4；
Normalizing the germination rate C241, the plant biomass C242 and the root index C243 serving as three-level indexes, determining corresponding weights, and judging the matrix as follows:
calculating the eigenvector W of the matrix, namely:
weight W of germination percentage C241 C241 Weight W of =200/299, plant biomass C242 C242 Weight W of root index C243 =64/299 C243 ＝35/299。
7. The system for evaluating the effect of heat treatment coupling repair of a complex organic contaminated site according to claim 2, wherein the secondary indexes associated with the economic evaluation C3 include repair technology cost C31, local quarter financial income C32, support degree of local policy C33 and acceptance degree of local people for repair disturbance C34;
the three-level indexes associated with the repair technical cost C31 comprise a repair period C311 and a soil repair cost C312 per unit volume.
8. The system for evaluating the effect of heat treatment coupling repair of a complex organic contaminated site according to claim 7, wherein the repair technology cost C31, the local quarter financial income C32, the support degree of local policy C33 and the acceptance degree of the local masses for repairing the interference C34 are normalized, and the corresponding weights are determined, and the judgment matrix is as follows:
Weight W of repair technical cost C31 C31 Weight W of local quarter financial income C32 =23940/43097 C32 Weight W of support degree C33 of local policy=12740/43097 C33 Weight W of local people acceptability C34 for repairing interference=3402/43097 C34 ＝1665/43097；
Normalization treatment is used as a three-level index of a restoration period C311 and a unit volume soil restoration cost C312, corresponding weights are determined, and a judgment matrix is as follows:
calculating the eigenvector W of the matrix, namely:
weight W of repair period C311 C311 Weight W of soil remediation cost per unit volume C312 =1/4 C312 ＝3/4。
9. The evaluation system for the heat treatment coupling repair effect of the composite organic contaminated site according to claim 2, wherein the scientific evaluation of the secondary index associated with C4 comprises: the comprehensive removal efficiency C41 of the repair technology, the maturity C42 of the repair technology and the anti-interference degree C43 of the repair technology on climate change.
10. The evaluation system for coupling restoration effect of heat treatment of composite organic contaminated site according to claim 9, wherein the comprehensive removal efficiency C41 of restoration technology, the maturity C42 of restoration technology and the anti-interference degree C43 of restoration technology to climate are normalized as the secondary index, and the corresponding weights are determined, and the judgment matrix is as follows:
Calculating the eigenvector W of the matrix, namely:
weight W of comprehensive removal efficiency C41 of repair technology C41 Weight W of maturity C42 of repair technique=231/353 C42 =91/353, repair technique for weather resistanceWeight W of degree C43 C43 ＝31/353。
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013218562A (en) * | 2012-04-10 | 2013-10-24 | Fujitsu Ltd | Environmental load evaluation device, environmental load evaluation method and program |
| CN107629797A (en) * | 2017-09-28 | 2018-01-26 | 武汉兴天宇环境股份有限公司 | A kind of soil-repairing agent and soil remediation method |
| CN107784453A (en) * | 2017-11-14 | 2018-03-09 | 中国环境科学研究院 | The multi-layer criteria that achievement evaluation is repaired in a kind of contaminated soil passivation assigns power method |
| CN113240282A (en) * | 2021-05-14 | 2021-08-10 | 北京市环境保护科学研究院 | Method for determining mercury contaminated soil remediation standard through multi-target layering |
| CN113267607A (en) * | 2021-05-11 | 2021-08-17 | 浙江大学 | Characteristic parameter identification system for field organic pollutant migration process |
| CN113962534A (en) * | 2021-10-09 | 2022-01-21 | 生态环境部南京环境科学研究所 | Construction method of re-development safety utilization assessment index system of repaired polluted site |
| CN114648230A (en) * | 2022-03-28 | 2022-06-21 | 广西博世科环保科技股份有限公司 | Contaminated site remediation technology scheme comparison and selection method based on comprehensive evaluation |
| CN114662844A (en) * | 2022-01-21 | 2022-06-24 | 中国科学院地理科学与资源研究所 | Site groundwater pollution risk evaluation method based on pollution process |
| CN114707837A (en) * | 2022-03-28 | 2022-07-05 | 广西博世科环保科技股份有限公司 | Method for comparing and selecting technical schemes for repairing soil and underground water in polluted site |
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013218562A (en) * | 2012-04-10 | 2013-10-24 | Fujitsu Ltd | Environmental load evaluation device, environmental load evaluation method and program |
| CN107629797A (en) * | 2017-09-28 | 2018-01-26 | 武汉兴天宇环境股份有限公司 | A kind of soil-repairing agent and soil remediation method |
| CN107784453A (en) * | 2017-11-14 | 2018-03-09 | 中国环境科学研究院 | The multi-layer criteria that achievement evaluation is repaired in a kind of contaminated soil passivation assigns power method |
| CN113267607A (en) * | 2021-05-11 | 2021-08-17 | 浙江大学 | Characteristic parameter identification system for field organic pollutant migration process |
| CN113240282A (en) * | 2021-05-14 | 2021-08-10 | 北京市环境保护科学研究院 | Method for determining mercury contaminated soil remediation standard through multi-target layering |
| CN113962534A (en) * | 2021-10-09 | 2022-01-21 | 生态环境部南京环境科学研究所 | Construction method of re-development safety utilization assessment index system of repaired polluted site |
| CN114662844A (en) * | 2022-01-21 | 2022-06-24 | 中国科学院地理科学与资源研究所 | Site groundwater pollution risk evaluation method based on pollution process |
| CN114648230A (en) * | 2022-03-28 | 2022-06-21 | 广西博世科环保科技股份有限公司 | Contaminated site remediation technology scheme comparison and selection method based on comprehensive evaluation |
| CN114707837A (en) * | 2022-03-28 | 2022-07-05 | 广西博世科环保科技股份有限公司 | Method for comparing and selecting technical schemes for repairing soil and underground water in polluted site |
Non-Patent Citations (3)
| Title |
|---|
| 工业污染场地分类管理模糊综合评价方法;陈红枫;吕星辰;;安徽农业大学学报(第04期);全文 * |
| 污染场地健康与环境风险评估模型（HERA）在土壤污染调查修复中的应用研究;陈小军;;节能(第05期);全文 * |
| 污染场地风险等级评估体系研究;王佳;张亚平;戴喆秦;朱光灿;环境保护(第13期);全文 * |
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