CN116523408A - Evaluation method of contaminated site soil remediation technology - Google Patents
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Abstract
The invention relates to an evaluation method of a contaminated site soil remediation technology, which comprises the steps of firstly screening the contaminated site soil remediation technology according to a MOORA method of combining and weighting subjective weight and objective weight, and obtaining a preferable screening result; performing carbon footprint analysis on a plurality of repair technologies positioned at the front part of the optimized screening result, calculating the total carbon emission of the repair technologies, and sequencing according to the total carbon emission of the repair technologies; and combining the sorting of the preferred screening results and the sorting of the carbon footprint analysis to obtain the optimal evaluation result of the contaminated site soil remediation technology. The invention has wide application range and flexible use, and can lead the repair technology to be correspondingly lower in carbon, more green and more sustainable in the repair process, thereby meeting the requirement of environmental protection, being beneficial to the development of repair work, judging and evaluating the overall quality of the repair technology in multiple aspects, and leading the best evaluation result of the obtained repair technology to be more scientific and reliable.
Description
Technical Field
The invention relates to the technical field of environmental management, in particular to an evaluation method of a contaminated site soil remediation technology.
Background
With the rapid development of cities, the urban area expansion speed is faster and faster, and a plurality of suburbs in front of the cities are changed into urban areas and rural areas into towns, so that urban construction is a process of secondary development and utilization of land. When using suburban or rural land, there is a large amount of unusable contaminated land, which is a major problem in impeding the process of urban construction. Industrial and mining abandoned places, refuse landfills, sludge disposal places and the like are pollution places which occupy very large areas in suburbs or rural areas, and along with the expansion of urban areas, the soil remediation of the pollution places is a very hard attack fight, and plays an important role in evaluating and selecting remediation technologies.
The polluted site soil remediation technology comprises a plurality of heat treatment technologies, chemical treatment technologies, biological treatment technologies and the like, and as the environmental protection requirement is continuously improved, the estimated and selected remediation technology is not solely used for degrading soil pollutants, and the development of the technology is required towards the comprehensive direction of greener, environmental protection and the like. Therefore, the evaluation selection of the repair technology needs to be selected according to the actual situation. However, the existing soil remediation technology of various polluted sites is mainly evaluated by adopting an expert scoring method, subjective factors play a leading role on results, and the method is not scientific and reasonable enough, so that the best evaluation result is difficult to obtain.
Disclosure of Invention
Therefore, the invention aims to overcome the defects that in the prior art, the evaluation of the soil remediation technology of various polluted sites mainly adopts an expert scoring method, subjective factors play a leading role on results, the science and the reasonability are insufficient, and the best evaluation result is difficult to obtain.
In order to solve the technical problems, the invention provides an evaluation method of a contaminated site soil remediation technology, which comprises
S1: screening the polluted site soil restoration technology according to a MOORA method of combining subjective weight and objective weight to obtain a preferable screening result;
s2: the repair technologies located in the first several of the preferred screening results are carbon footprint analyzed and ranked as follows:
s21: calculating carbon emissions C for Material consumption 1 The formula is:
wherein f is the number of material types, CEA t Carbon emission factor, Q, of the t-th material t B is the use amount of the t-th material t Recovery factor for the t-th material;
s22: calculating carbon emissions C for energy consumption 2 The formula is:
wherein V is the number of energy source types, CEA g Carbon emission factor, Q, of the g-th energy source g The amount of the energy is the g type;
s23: carbon emission C according to material consumption 1 And carbon emission C of energy consumption 2 And calculating the total carbon emission CE of the repair technology, wherein the formula is as follows:
CE＝C 1 +C 2
s24: sorting the repair technologies positioned in the first several names in the preferred screening result according to the CE of the total carbon emission, wherein the smaller the total carbon emission is, the better the total carbon emission is;
s3: and combining the sorting of the preferred screening results and the sorting of the carbon footprint analysis to obtain the optimal evaluation result of the contaminated site soil remediation technology.
In one embodiment of the invention, the MOORA method for weighting the contaminated site soil restoration technology according to the combination of subjective weight and objective weight is used for screening the contaminated site soil restoration technology, and a preferable screening result is obtained, and the method comprises the following specific steps:
s11, constructing a primary screening database of a contaminated site soil remediation technology, inputting the types of pollutants of the contaminated site soil into the primary screening database, and screening out a plurality of alternative remediation technologies to obtain a primary screening result;
s12: constructing a screening index system in a primary screening result by using an analytic hierarchy process, wherein the screening index system comprises a target layer, an index layer, a factor layer and a scheme layer, the target layer is an optimal evaluation result of screening out a contaminated site soil remediation technology, the index layer comprises a plurality of indexes, the factor layer comprises a plurality of factors influencing the indexes, and the scheme layer is an alternative scheme of the contaminated site soil remediation technology;
s13: inputting subjective scoring parameters of each factor, and calculating subjective weights of each factor through an analytic hierarchy process;
s14: inputting scoring parameters of corresponding factors of each alternative repairing technology according to the alternative repairing technology in the primary screening result, and expressing the scoring parameters by using triangular fuzzy numbers;
s15: calculating objective weights of the factors by an entropy method according to scoring parameters represented by triangular fuzzy numbers of the corresponding factors of each alternative repair technology;
s16: combining the subjective weight and the objective weight, and combining the assigned weights to obtain combined weights;
s17: and calculating the addition ratio of the alternative repair technology by combining the scoring parameters and the combination weights of the corresponding factors of the alternative repair technology, and arranging the addition ratio to obtain the preferable screening result of the contaminated site soil repair technology.
In one embodiment of the present invention, in the step S3, the ranking of the preferred screening results and the ranking of the carbon footprint analysis are combined, and the final score is calculated by using a weighted queuing score method, which specifically includes the following steps:
s31: queuing the optimized screening result and each repair technology in the carbon footprint analysis according to the quality to obtain N ranking sequences, and taking the average value of the ranking occupied by the ranking sequences in parallel;
s32: calculating single item score K of the o-th repair technology according to the ranking of the repair technology o The formula is:
wherein v is the number of arrangement names;
s33: weighting the single scores to calculate a total score K, L o For the weight of the repair technique, the formula is:
s34: and sorting according to the total score K to determine the quality, wherein the higher the score is, the better the score is, and the best evaluation result of the contaminated site soil remediation technology is obtained.
In one embodiment of the present invention, subjective weights of the factors are calculated by the analytic hierarchy process in step S13, which is calculated as follows:
s131, n factors are set, and according to the scale table, the relative importance of each factor is determined by comparing every two factors, a ij Representing element B i And element B j The ratio of the influence degree on the target A is used for constructing a pairwise comparison judgment matrix A, and the formula is as follows:
wherein i=1, 2, n; j= 1,2, n;
s132: calculating the approximate value w of the characteristic vector of the judgment matrix by using a root-finding method i The formula is:
the subjective weight vector w is obtained after the feature vector is normalized, and the formula is:
w＝(w 1 ,w 2 ,…,w n ) T
s133: and calculating a consistency factor CI, wherein the formula is as follows:
wherein,,
introduction of the random uniformity ratio CR
When the consistency ratio CR is less than the threshold, the subjective weight is correct and reasonable; when the consistency ratio CR is greater than or equal to the threshold, the subjective weight is incorrect and unreasonable, the subjective scoring parameters and the judgment matrix of each factor are readjusted, and steps S121, S122 and S123 are repeated until the consistency ratio CR is less than the threshold.
In one embodiment of the present invention, in step S14, according to the candidate repair technique in the primary screening result, the scoring parameters of the corresponding factors of each candidate repair technique are input, and the scoring parameters are represented by triangle ambiguity numbers, which specifically includes:
x ab ＝(x′ ab ，x″ ab ，x″′ ab )
wherein x' ab The lower bound of the triangle fuzzy number is the most conservative estimated value; x' ab Is the most likely estimate; x'. ab Is the upper bound of the triangular blur number, the most optimistic estimate, a=1, 2,..m; b=1, 2,..n.
In one embodiment of the present invention, in step S15, according to the scoring parameters represented by the triangular blur numbers of the corresponding factors of each candidate repair technique, the objective weights of the factors are calculated by an entropy method, and the calculation steps are as follows:
s151: an evaluation matrix X is formed by the alternative repair technology of m polluted site soil and the original data of n factors, and the formula is as follows:
wherein a=1, 2, m; b=1, 2,;
s152: the triangle ambiguity is deblurred, and is converted into a determined value, and the conversion formula is as follows:
s153: normalizing each factor according to the number of each option to obtain a normalized matrix R, wherein the formula is as follows:
R＝(r′ ab ) m×n
for the forward one of the factors:
for negative ones of the factors:
s154: calculating the specific gravity p occupied by the value of the a-th alternative repair technology factor under the b-th factor ab The formula is as follows:
s155: calculating the entropy value e of the b-th factor b The formula is:
wherein,,
s156: calculating information entropy redundancy d b The formula is:
d b ＝1-e b
s157: calculating objective weights u of various factors b The formula is:
in one embodiment of the present invention, subjective weights w are combined in step S16 j And objective weight u b According to h [ w ] j ，u b ]= {0.5,0.5} weight proportion combination weighting, obtain combination weight h j The formula is:
h j ＝0.5×w j +0.5×u b 。
in one embodiment of the present invention, in step S17, the candidate repair technologies are calculated and ordered by using the MOORA method in combination with the scoring parameters and the combination weights of the corresponding factors of the candidate repair technologies, so as to obtain the preferred screening result of the contaminated site soil repair technology, which specifically comprises the following steps:
s171: according to the scores of the triangular fuzzy number representation of the corresponding factors of each alternative repair technology, a scoring matrix X of the repair technology is constructed, and the formula is as follows:
wherein x is ab ＝(x′ ab ，x″ ab ，x″′ ab )，a＝1,2,...,m；b＝1,2,...,n；
S172: constructing a standardized matrix Z, wherein the formula is as follows:
Z＝(z ab ) m×n
wherein z is ab ＝(z′ ab ，z″ ab ，z″′ ab )
For the revenue type factor among the factors:
for cost-type factors among factors:
s173: calculating the addition ratioThe formula is:
where k is the number of revenue-type factors and n-k is the number of cost-type factors;
s174: the alternative repair techniques are ordered in a sequence,the higher the value, the better.
In one embodiment of the invention, the number of metrics includes a technical metric, an economic metric, an environmental metric, and a social metric.
In one embodiment of the present invention, the factors affecting the technical index include operability, repair effect, technical maturity and repair time, the factors affecting the economic index include cost investment and resource consumption, the factors affecting the environmental index include secondary pollution, the factors affecting the social index include social acceptance, construction safety and repair area interference, wherein the operability, repair effect, technical maturity, social acceptance, construction safety are positive factors or benefit factors, and the repair time, cost investment, resource consumption, secondary pollution, repair area interference are negative factors or cost factors.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the evaluation method of the contaminated site soil remediation technology, the contaminated site soil remediation technology is screened according to the MOORA method of combining the subjective weight and the objective weight to obtain the optimal screening result, subjective factors such as experts and a plurality of objective factors affecting the contaminated site soil remediation can be comprehensively considered, the screening of the soil contaminated remediation technology can be carried out at multiple angles, subjective deviation and objective one-sided performance are avoided to a certain extent, and the optimal screening result of the remediation technology is scientifically obtained; on the basis of the optimal screening result, the influence on the environment is calculated by adopting carbon footprint analysis, so that the repair technology is enabled to be lower in carbon, more green and more sustainable in the repair process, the environment-friendly requirement is met, and finally, the optimal evaluation result is obtained by the optimal screening result and the carbon footprint analysis, the overall quality of the repair technology can be judged in multiple aspects, and the optimal evaluation result of the repair technology is obtained more reliably. The screening method is wide in application range, flexible to use, capable of considering environmental protection requirements, beneficial to development of repair work, and scientific and reliable in best evaluation result of the obtained repair technology.
Drawings
In order that the invention may be more readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof that are illustrated in the appended drawings.
FIG. 1 is a flow chart of an evaluation method of the contaminated site soil remediation technique of the present invention;
FIG. 2 is a specific flow chart of an evaluation method of the contaminated site soil remediation technique of the present invention;
FIG. 3 is a block diagram of a model of an analytic hierarchy process in the method of evaluation of contaminated site soil remediation technology of the present invention;
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to be limiting, so that those skilled in the art will better understand the invention and practice it.
1-3, the invention provides an evaluation method of a contaminated site soil remediation technology, which comprises
S1: screening the polluted site soil restoration technology according to a MOORA method of combining subjective weight and objective weight to obtain a preferable screening result;
s2: the repair technologies located in the first several of the preferred screening results are carbon footprint analyzed and ranked as follows:
s21: calculating carbon emissions C for Material consumption 1 The formula is:
wherein f is the number of material types, CEA t Carbon emission factor, Q, of the t-th material t B is the use amount of the t-th material t Recovery factor for the t-th material;
s22: calculating carbon emissions C for energy consumption 2 The formula is:
wherein V is the number of energy source types, CEA g Carbon emission factor, Q, of the g-th energy source g For the g-type energy consumption, the specific carbon emission factors of the electric power, the gasoline and the diesel oil are respectively 0.884, 2.031 and 2.171kgCO 2 /kg；
S23: carbon emission C according to material consumption 1 And carbon emission C of energy consumption 2 And calculating the total carbon emission CE of the repair technology, wherein the formula is as follows:
CE＝C 1 +C 2
s24: sorting the repair technologies positioned in the first several names in the preferred screening result according to the CE of the total carbon emission, wherein the smaller the total carbon emission is, the better the total carbon emission is;
s3: and combining the sorting of the preferred screening results and the sorting of the carbon footprint analysis to obtain the optimal evaluation result of the contaminated site soil remediation technology.
According to the evaluation method of the contaminated site soil remediation technology, firstly, the contaminated site soil remediation technology is screened according to a MOORA method with combined subjective weight and objective weight to obtain a preferable screening result, the MOORA method is a multi-objective optimization method, is a conventional method, is scientific and objective, is simple to calculate, is more flexible in practical application, comprehensively considers subjective factors such as experts and a plurality of objective factors affecting contaminated site soil remediation, can screen the contaminated site soil remediation technology in multiple angles, avoids subjective deviation and objective one-sided performance to a certain extent, and scientifically obtains the preferable screening result of the contaminated site soil remediation technology; on the basis of the optimal screening result, the influence of carbon footprint analysis on the environment is calculated, so that the repair technology is enabled to be lower in carbon, more green and more sustainable in the repair process, the environment-friendly requirement is met, and finally, the optimal evaluation result is obtained by the optimal screening result and the carbon footprint analysis result, the overall quality of the repair technology can be evaluated and judged in multiple aspects, and the optimal evaluation result of the repair technology is obtained more reliably. The screening method is wide in application range, flexible to use, capable of considering environmental protection requirements, beneficial to development of repair work, and scientific and reliable in best evaluation result of the obtained repair technology.
Specifically, screening a polluted site soil remediation technology according to a MOORA method of combining subjective weight and objective weight to obtain a preferable screening result, wherein the method specifically comprises the following steps:
s11, constructing a primary screening database of a contaminated site soil remediation technology, inputting the types of pollutants of the contaminated site soil into the primary screening database as shown in table 1, and screening out a plurality of alternative remediation technologies to obtain a primary screening result;
table 1 preliminary screening database
In this embodiment, the primary screening database is constructed, so that the repair technology of various pollutant types can be selected, the application range is wider, the screening efficiency is better, a large amount of time can be saved, and the repair efficiency is improved.
S12: as shown in fig. 3, a screening index system is constructed in the primary screening result by using an analytic hierarchy process, wherein the screening index system comprises a target layer, an index layer, a factor layer and a scheme layer, the target layer is the best evaluation result of screening out the contaminated site soil remediation technology, the index layer comprises a plurality of indexes, the factor layer comprises a plurality of factors influencing the indexes, and the scheme layer is an alternative scheme of the contaminated site soil remediation technology;
s13: inputting subjective scoring parameters of each factor, and calculating subjective weights of each factor through an analytic hierarchy process; the method comprises the steps of determining subjective scoring parameters of all factors, including literature investigation, expert scoring and actual engineering cases, enabling subjective scoring to have more reference value according to multiple-aspect references, calling and inputting the existing scoring into a required formula, and calculating subjective weights of all the factors;
s14: inputting scoring parameters of corresponding factors of each alternative repairing technology according to the alternative repairing technology in the primary screening result, and expressing the scoring parameters by using triangular fuzzy numbers; because of uncertainty of scoring of an expert or a decision maker, the scoring parameters of corresponding factors of each alternative repairing technology introduce triangular fuzzy numbers to carry out fuzzy definition, so that uncertainty of the factors can be effectively processed, uncertainty factors generated by subjective evaluation of the decision maker can be made up, factor information and actual closeness are enhanced, and further, an evaluation result is more scientific and reliable;
s15: calculating objective weights of the factors by an entropy method according to scoring parameters represented by triangular fuzzy numbers of the corresponding factors of each alternative repair technology;
s15: combining the subjective weight and the objective weight, and combining the assigned weights to obtain combined weights;
s16: and calculating the model adding ratio of the alternative repair technology by a MOORA method according to the scoring parameters and the combination weights of the corresponding factors of the alternative repair technology, and arranging to obtain the preferable screening result of the contaminated site soil repair technology.
In this embodiment, according to the operation situation of implementing the repair technology, the several indexes include technical indexes, economic indexes, environmental indexes and social indexes, specifically, factors affecting technical indexes include operability, repair effect, technical maturity and repair time, factors affecting economic indexes include cost investment and resource consumption, factors affecting environmental indexes include secondary pollution, factors affecting social indexes include social acceptance, construction safety and repair area interference, wherein the larger the value is, the better the value is, the repair time, cost investment, resource consumption, secondary pollution and repair area interference are negative factors or cost factors, and the smaller the value is, the better the value is. Specifically, the positive factor and the negative factor in the calculation of the entropy method in step S15, and the profit factor and the cost factor in the calculation of the MOORA method in step S17. The method comprehensively considers the factors such as environmental influence, economic rationality, social acceptance, technical feasibility and the like, and can carry out the screening of soil pollution repair technology in multiple angles.
Further, in step S3, the ranking of the preferred screening results and the ranking of the carbon footprint analysis are combined, and the final score is calculated by using a weighted queuing score method, which specifically comprises the following steps:
s31: queuing the optimized screening result and each repair technology in the carbon footprint analysis according to the quality to obtain N ranking sequences, and taking the average value of the ranking occupied by the ranking sequences in parallel;
s32: calculating single item score K of the o-th repair technology according to the ranking of the repair technology o The formula is:
wherein v is the number of times of arranging the names, the first name is 100 minutes, the last name is 60 minutes, and the middle score is between 60 and 100;
s33: weighting the single scores to calculate a total score K, L o For the weight of the repair technique, the formula is:
s34: and sorting according to the total score K to determine the quality, wherein the higher the score is, the better the score is, and the best evaluation result of the contaminated site soil remediation technology is obtained.
Specifically, in step S13, subjective weights of the indexes are calculated by an analytic hierarchy process, and the calculation steps are as follows:
s131, n factors are set, according to the scale table, as shown in Table 2, the relative importance of each factor is determined by comparing two by two, a ij Representing element B i And element B j The ratio of the influence degree on the target A is constructed, and a pairwise comparison judgment matrix A is constructed, wherein the judgment matrix table is shown in table 3;
table 2 scale table
TABLE 3 judgment matrix table
Wherein i=1, 2, n; j= 1,2, n;
s132: calculating the approximate value w of the characteristic vector of the judgment matrix by using a root-finding method i The formula is:
the subjective weight vector w is obtained after the feature vector is normalized, and the formula is:
w＝(w 1 ,w 2 ,…,w n ) T
s133: and calculating a consistency index CI, wherein the formula is as follows:
wherein,,
introduction of the random uniformity ratio CR
Wherein, RI is shown in Table 4;
table 4RI values
| n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | ... |
| RI | 0 | 0 | 0.52 | 0.89 | 1.12 | 1.26 | 1.36 | 1.41 | 1.46 | 1.49 | 1.52 | 1.54 | 1.56 | 1.58 | 1.59 | ... |
And when the consistency ratio CR is smaller than the threshold, the subjective weight is correct and reasonable, and when the CR is larger than or equal to the threshold, the subjective weight is incorrect and unreasonable, the subjective scoring parameters and the judgment matrix of each index are readjusted, and the steps S121, S122 and S123 are repeated until the consistency ratio CR is smaller than the threshold.
Specifically, the threshold may be 0.1.
Further, in step S14, scoring parameters of corresponding factors of each candidate repairing technology are determined, a scoring parameter table is obtained, as shown in table 5, the scoring parameters are represented by triangular fuzzy numbers, uncertainty factors generated by subjective evaluation of a decision maker can be compensated after the scoring parameters are represented by the triangular fuzzy numbers, actual closeness is enhanced, so that an evaluation result is more scientific and reliable, and conversion relation between an evaluation language and the triangular fuzzy numbers is shown in table 6;
table 5 scoring parameter table
| Evaluation object | Factor 1 | Factor 2 | ... | Factor n |
| 1 | r 11 | r 12 | ... | r 1n |
| 2 | r 21 | r 22 | ... | r 2n |
| ... | ... | ... | r ab | ... |
| m | r m1 | r m2 | ... | r mn |
TABLE 6 evaluation of conversion relation of language and triangle blur number
Further, in step S15, according to the scoring parameters represented by the triangular fuzzy numbers of the corresponding factors of the alternative repair techniques, the objective weights of the factors are calculated by an entropy method, and the calculation steps are as follows:
s151: an evaluation matrix X is formed by the alternative repair technology of m polluted site soil and the original data of n factors, and the formula is as follows:
wherein a=1, 2, m; b=1, 2,;
s152: the triangle ambiguity is deblurred, and is converted into a determined value, and the conversion formula is as follows:
s153: normalizing each factor according to the number of each option to obtain a normalized matrix R, wherein the formula is as follows:
R＝(r′ ab ) m×n
for the forward one of the factors:
for negative ones of the factors:
s154: calculating the specific gravity p occupied by the value of the a-th alternative repair technology factor under the b-th factor ab The formula is as follows:
s155: calculating the entropy value e of the b-th factor b The formula is:
wherein,,
s156: calculating information entropy redundancy d b The formula is:
d b ＝1-e b
s157: calculating objective weights u of various factors b The formula is:
in the present embodiment, the subjective weight and the objective weight are combined in step S16 according to h [ w ] j ，u b ]= {0.5,0.5} weight proportion combination weighting, obtain combination weight h j The formula is:
h j ＝0.5×w j +0.5×u b 。
further, in step S17, the scoring parameters and the combination weights of the corresponding factors of each alternative repairing technology are combined, the alternative repairing technologies are calculated and sequenced by using a MOORA method (multi-objective optimizing method), so as to obtain a preferred screening result of the contaminated site soil repairing technology, the method is scientific, objective, simple to calculate, more flexible in practical application, and the scoring parameters are represented by triangular fuzzy numbers, so that the method is more scientific and reliable, and the method specifically comprises the following steps:
s171: according to the scores of the triangular fuzzy number representation of the corresponding factors of each alternative repair technology, a scoring matrix X of the repair technology is constructed, and the formula is as follows:
wherein x is ab ＝(x′ ab ，x″ ab ，x″′ ab )，a＝1,2,...,m；b＝1,2,...,n；
S172: constructing a standardized matrix Z, wherein the formula is as follows:
Z＝(z ab ) m×n
wherein z is ab ＝(z′ ab ，z″ ab ，z″′ ab )
For the revenue type factor among the factors:
for cost-type factors among factors:
s173: calculating the addition ratioThe formula is:
where k is the number of revenue-type factors and n-k is the number of cost-type factors;
s174: the alternative repair techniques are ordered in a sequence,the higher the value, the better.
As shown in FIG. 2, the method firstly inputs the pollutant types into a constructed primary screening database, and can carry out primary screening on a plurality of repairing technologies to obtain a plurality of alternative repairing technologies, thereby improving the screening efficiency and saving a great deal of time; the screening index system is constructed by utilizing the analytic hierarchy process, a plurality of indexes and a plurality of factors affecting the indexes can be comprehensively considered, screening of the polluted site soil restoration technology can be carried out at multiple angles, then the method of weighting is combined by utilizing the analytic hierarchy process and the entropy value process, grading parameters of corresponding factors of each alternative restoration technology are represented by triangle fuzzy numbers, uncertainty of the factors can be effectively treated, uncertainty factors generated by subjective evaluation of a decision maker can be made up, the evaluation results are more scientific and reliable, meanwhile, deviation of subjective weighting and one side of objective weighting are avoided by combining the weighted combination weights, the alternative restoration technology is sequenced by utilizing the MOORA method, preferential screening results of the restoration technology are scientifically obtained, influence of the carbon footprint analysis calculation on the environment is adopted on the basis of the preferential screening results, the restoration technology is enabled to be correspondingly lower in carbon and have sustainability, and finally the evaluation results of the optimal restoration technology are obtained by queuing calculation method on the preferential screening results and the results of the carbon footprint analysis, and the overall best restoration technology is more conveniently judged, and the optimal restoration technology is obtained. The screening method has the advantages of wide application range, flexible use, high screening efficiency, contribution to the development of repair work, saving of a large amount of time, and more scientific and reliable evaluation of the obtained optimal repair technology, and can consider the environment.
In a specific embodiment, in a company factory where a city in north China is running, the soil in the factory is polluted by heavy metal chromium due to 'running and dripping' of a chromium plating workshop.
Step one: inputting pollutant types-heavy metals into a database, and performing primary screening on the repair technology to screen out alternative repair technology, so as to obtain a primary screening result, wherein the primary screening result comprises the following steps: in situ electrokinetic separation, in situ soil leaching, in situ solidification/stabilization, in situ vitrification, ex situ chemical reduction/oxidation, ex situ solidification/stabilization;
step two: constructing a screening index system of a contaminated site soil remediation technology by adopting an analytic hierarchy process, as shown in figure 3;
wherein: the level of the screening index system is divided into four layers from high to low, namely a target layer A, an index layer B, a factor layer C and a scheme layer D,
the index layer B1 is used for reflecting the factors of the technology, and the factor layer comprises the following specific factors:
operability C1, repair effect C2, technical maturity C3, repair time C4;
index layer B 2 The factor layer is used for reflecting economic factors and comprises the following specific factors:
cost input C 5 Resource consumption C 6 ；
Index layer B 3 The factor layer is used for reflecting the factors of the environment and comprises the following specific factors:
secondary pollution C 7 ；
Index layer B 4 The factor layer is used for reflecting the social factors and comprises the following specific factors:
social acceptance C 8 Construction safety C 9 Repair area disturbance C 10 ；
Wherein: operability C 1 Restoration effect C 2 Degree of technical maturity C 3 Social acceptance C 8 Construction safety C 9 The larger the value, the better is the forward factor or the profit type factor; repair time C 4 Cost input C 5 Resource consumption C 6 Secondary pollution C 7 Repair area disturbance C 10 The smaller the value, the better, either negative or cost-type.
Step three: according to expert opinion and the like, subjective scoring parameters of factors are input into a corresponding database, and subjective weights of screening factors are calculated through a hierarchical analysis method;
(1) Constructing a pairwise comparison judgment matrix,
establishing a judgment matrix table as shown in table 7:
table 7 judgment matrix table
/>
(2) Subjective weights were calculated and the results are shown in Table 8
Table 8 subjective weights
(3) Consistency check
Calculated out, maximum characteristic root lambda max 10.950, ci=0.11, ri=1.49, cr=ci/ri=0.074<And 0.1, judging that the matrix meets the consistency requirement through one-time inspection.
Step four: according to expert opinion, related data and the like, inputting scoring parameters of the repair technology into a corresponding database, and representing the scoring parameters by using triangle fuzzy numbers, wherein a scoring table of the repair technology is shown in a table 9;
table 9 scoring table for repair technique
Step five: calculating objective weights of screening factors by an entropy method by combining scores of the repair technology in the fourth step, wherein the results are shown in a table 10;
table 10 objective weights
Step six: combining and weighting the subjective weight in the third step and the objective weight in the fifth step according to the weight ratio of 0.5:0.5 to obtain a combined weight, wherein the result is shown in table 11;
TABLE 11 combination weight table
Step seven: calculating the polluted site soil restoration technology by adopting a MOORA method and combining the grading of the restoration technology in the step four and the combination weight in the step six, and sequencing to obtain a preferable screening result of the polluted site soil restoration technology, wherein the result is shown in a table 12;
TABLE 12 preferred screening results
Step eight: carbon footprint analysis is carried out on the repair technologies of the top three MOORA method, and the carbon footprint analysis is ordered, and the results are shown in Table 13;
TABLE 13 ranking after carbon footprint analysis
Step nine: calculating a final score by adopting a weighted queuing score method, weighting according to a weight ratio of 0.5:0.5 to obtain an optimal evaluation result of the contaminated site soil remediation technology, wherein the result is shown in a table 14;
table 14 best evaluation results of repair technique
As can be seen from Table 14, the comprehensive ranking conclusion of the applicability after the repair technique evaluation is: ex situ chemical reduction/oxidation > in situ solidification/stabilization > in situ soil leaching.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations and modifications of the present invention will be apparent to those of ordinary skill in the art in light of the foregoing description. It is not necessary here nor is it exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present invention.
Claims (10)
1. An evaluation method of a contaminated site soil remediation technology is characterized by comprising the following steps:
s1: screening the polluted site soil restoration technology according to a MOORA method of combining subjective weight and objective weight to obtain a preferable screening result;
s2: the repair technologies located in the first several of the preferred screening results are carbon footprint analyzed and ranked as follows:
s21: calculating carbon emissions C for Material consumption 1 The formula is:
wherein f is the number of material types, CEA t Carbon emission factor, Q, of the t-th material t B is the use amount of the t-th material t Recovery factor for the t-th material;
s22: calculating carbon emissions C for energy consumption 2 The formula is:
wherein V is the number of energy source types, CEA g Carbon emission factor, Q, of the g-th energy source g The amount of the energy is the g type;
s23: carbon emission C according to material consumption 1 And carbon emission C of energy consumption 2 And calculating the total carbon emission CE of the repair technology, wherein the formula is as follows:
CE＝C 1 +C 2
s24: sorting the repair technologies positioned in the first several names in the preferred screening result according to the CE of the total carbon emission, wherein the smaller the total carbon emission is, the better the total carbon emission is;
s3: and combining the sorting of the preferred screening results and the sorting of the carbon footprint analysis to obtain the optimal evaluation result of the contaminated site soil remediation technology.
2. The method for evaluating a contaminated site soil remediation technique of claim 1 wherein: the MOORA method for weighting the polluted site soil restoration technology according to the combination of subjective weight and objective weight is used for screening the polluted site soil restoration technology, and a preferable screening result is obtained, and the method comprises the following specific steps:
s11, constructing a primary screening database of a contaminated site soil remediation technology, inputting the types of pollutants of the contaminated site soil into the primary screening database, and screening out a plurality of alternative remediation technologies to obtain a primary screening result;
s12: constructing a screening index system in a primary screening result by using an analytic hierarchy process, wherein the screening index system comprises a target layer, an index layer, a factor layer and a scheme layer, the target layer is an optimal evaluation result of screening out a contaminated site soil remediation technology, the index layer comprises a plurality of indexes, the factor layer comprises a plurality of factors influencing the indexes, and the scheme layer is an alternative scheme of the contaminated site soil remediation technology;
s13: inputting subjective scoring parameters of each factor, and calculating subjective weights of each factor through an analytic hierarchy process;
s14: inputting scoring parameters of corresponding factors of each alternative repairing technology according to the alternative repairing technology in the primary screening result, and expressing the scoring parameters by using triangular fuzzy numbers;
s15: calculating objective weights of the factors by an entropy method according to scoring parameters represented by triangular fuzzy numbers of the corresponding factors of each alternative repair technology;
s16: combining the subjective weight and the objective weight, and combining the assigned weights to obtain combined weights;
s17: and calculating the addition ratio of the alternative repair technology by combining the scoring parameters and the combination weights of the corresponding factors of the alternative repair technology, and arranging the addition ratio to obtain the preferable screening result of the contaminated site soil repair technology.
3. The method for evaluating a contaminated site soil remediation technique according to claim 2 wherein: in the step S3, the ranking of the preferred screening results and the ranking of the carbon footprint analysis are combined, and the final score is calculated by using a weighted queuing score method, and the specific steps are as follows:
s31: queuing the optimized screening result and each repair technology in the carbon footprint analysis according to the quality to obtain N ranking sequences, and taking the average value of the ranking occupied by the ranking sequences in parallel;
s32: calculating single item score K of the o-th repair technology according to the ranking of the repair technology o The formula is:
wherein v is the number of arrangement names;
s33: pair of sheetsThe item scores are weighted, and the total score K and L are calculated o For the weight of the repair technique, the formula is:
s34: and sorting according to the total score K to determine the quality, wherein the higher the score is, the better the score is, and the best evaluation result of the contaminated site soil remediation technology is obtained.
4. The method for evaluating a contaminated site soil remediation technique according to claim 2 wherein: in step S13, subjective weights of the factors are calculated by an analytic hierarchy process, and the calculation steps are as follows:
s131, n factors are set, and according to the scale table, the relative importance of each factor is determined by comparing every two factors, a ij Representing element B i And element B j The ratio of the influence degree on the target A is used for constructing a pairwise comparison judgment matrix A, and the formula is as follows:
wherein i=1, 2, n; j= 1,2, n;
s132: calculating the approximate value w of the characteristic vector of the judgment matrix by using a root-finding method i The formula is:
the subjective weight vector w is obtained after the feature vector is normalized, and the formula is:
w＝(w 1 ,w 2 ,…,w n ) T
s133: and calculating a consistency factor CI, wherein the formula is as follows:
wherein,,
introduction of the random uniformity ratio CR
When the consistency ratio CR is less than the threshold, the subjective weight is correct and reasonable; when the consistency ratio CR is greater than or equal to the threshold, the subjective weight is incorrect and unreasonable, the subjective scoring parameters and the judgment matrix of each factor are readjusted, and steps S121, S122 and S123 are repeated until the consistency ratio CR is less than the threshold.
5. The method for evaluating a contaminated site soil remediation technique according to claim 2 wherein: in step S14, according to the candidate repair technology in the primary screening result, the scoring parameters of the corresponding factors of each candidate repair technology are input, and the scoring parameters are represented by triangle fuzzy numbers, specifically:
x ab ＝(x′ ab ，x″ ab ，x″′ ab )
wherein x' ab The lower bound of the triangle fuzzy number is the most conservative estimated value; x' ab Is the most likely estimate; x'. ab Is the upper bound of the triangular blur number, the most optimistic estimate, a=1, 2,..m; b=1, 2,..n.
6. The method for evaluating a contaminated site soil remediation technique of claim 5 wherein: in step S15, according to the scoring parameters represented by the triangular fuzzy numbers of the corresponding factors of the alternative repair technology, the objective weights of the factors are calculated by an entropy method, and the calculation steps are as follows:
s151: an evaluation matrix X is formed by the alternative repair technology of m polluted site soil and the original data of n factors, and the formula is as follows:
wherein a=1, 2, m; b=1, 2,;
s152: the triangle ambiguity is deblurred, and is converted into a determined value, and the conversion formula is as follows:
s153: normalizing each factor according to the number of each option to obtain a normalized matrix R, wherein the formula is as follows:
R＝(r′ ab ) m×n
for the forward one of the factors:
for negative ones of the factors:
s154: calculating the specific gravity p occupied by the value of the a-th alternative repair technology factor under the b-th factor ab The formula is as follows:
s155: calculating the entropy value e of the b-th factor b The formula is:
wherein,,
s156: calculating information entropy redundancy d b The formula is:
d b ＝1-e b
s157: calculating objective weights u of various factors b The formula is:
7. the method for evaluating a contaminated site soil remediation technique according to claim 2 wherein: in step S16, subjective weights w are combined j And objective weight u b According to h [ w ] j ，u b ]= {0.5,0.5} weight proportion combination weighting, obtain combination weight h j The formula is:
h j ＝0.5×w j +0.5×u b 。
8. the method for evaluating a contaminated site soil remediation technique according to claim 2 wherein: in step S17, the scoring parameters and the combination weights of the corresponding factors of the alternative repair technologies are combined, the MOORA method is utilized to calculate and sort the alternative repair technologies, and the optimal screening result of the contaminated site soil repair technology is obtained, wherein the method comprises the following specific steps:
s171: according to the scores of the triangular fuzzy number representation of the corresponding factors of each alternative repair technology, a scoring matrix X of the repair technology is constructed, and the formula is as follows:
wherein x is ab ＝(x′ ab ，x″ ab ，x″′ ab ),a＝1,2,...,m；b＝1,2,...,n；
S172: constructing a standardized matrix Z, wherein the formula is as follows:
Z＝(z ab ) m×n
wherein z is ab ＝(z′ ab ，z″ ab ，z″′ ab )
For the revenue type factor among the factors:
for cost-type factors among factors:
s173: calculating the addition ratioThe formula is:
where k is the number of revenue-type factors and n-k is the number of cost-type factors;
s174: the alternative repair techniques are ordered in a sequence,the higher the value, the better.
9. The method for evaluating a contaminated site soil remediation technique according to claim 2 wherein: the plurality of indexes include technical indexes, economic indexes, environmental indexes and social indexes.
10. The method for evaluating a contaminated site soil remediation technique of claim 9 wherein: factors influencing the technical index comprise operability, restoration effect, technical maturity and restoration time, factors influencing the economic index comprise cost investment and resource consumption, factors influencing the environmental index comprise secondary pollution, factors influencing the social index comprise social acceptance, construction safety and restoration area interference, wherein the operability, the restoration effect, the technical maturity, the social acceptance and the construction safety are positive factors or benefit factors, and the restoration time, the cost investment, the resource consumption, secondary pollution and the restoration area interference are negative factors or cost factors.
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| CN117269456A (en) * | 2023-09-25 | 2023-12-22 | 河北盛通公路建设有限公司 | Road soil condition detection method and system |
| CN117456239A (en) * | 2023-10-25 | 2024-01-26 | 江苏省无锡探矿机械总厂有限公司 | Drilling machine equipment monitoring system and method for soil remediation |
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| CN117269456A (en) * | 2023-09-25 | 2023-12-22 | 河北盛通公路建设有限公司 | Road soil condition detection method and system |
| CN117269456B (en) * | 2023-09-25 | 2024-05-28 | 河北盛通公路建设有限公司 | Road soil condition detection method and system |
| CN117456239A (en) * | 2023-10-25 | 2024-01-26 | 江苏省无锡探矿机械总厂有限公司 | Drilling machine equipment monitoring system and method for soil remediation |
| CN117456239B (en) * | 2023-10-25 | 2024-05-14 | 江苏省无锡探矿机械总厂有限公司 | Drilling machine equipment monitoring system and method for soil remediation |
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