CN111476504A - Refined site investigation method based on restoration efficiency - Google Patents
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Abstract
The invention discloses a refined site investigation method based on remediation efficiency, which comprises 5 steps of site data sorting and analysis, severe pollution area verification, moderate pollution area range correction, mild pollution area pollution existence judgment and whole site area pollution partition grading graph formulation. The method realizes the accurate identification of the soil pollution of the pollution remediation site, and the areas with different pollution degrees adopt different site investigation methods, so that the accuracy of the identification of the polluted areas is improved, and the site remediation efficiency is improved.
Description
Technical Field
The invention relates to the field of environmental protection, in particular to a fine site investigation method based on restoration efficiency.
Background
In recent years, the environmental problems of China are increasingly prominent while the economy is rapidly developed. In order to improve the environmental problems in China and promote the urbanization development, each city successively requires industrial enterprises with serious environmental problems to move or disassemble, and the enterprises leave a large amount of polluted sites after moving. In 2014, 5 environmental standards such as 'site environment survey technical guide' HJ25.1-2014 and the like are released in China, the original HJ25-1999 is replaced, and technical guidance and support are provided for developing site environment condition surveys in various places. Due to the difference of the types and properties of the soil in different fields and the difference of pollutants and regional hydrological and climatic characteristics, the pollutants are greatly uncertain in the diffusion, migration, degradation and the like of the soil, the pollution of the soil in the polluted field is influenced by the factors, an extremely complex state is presented, and a scientific and reasonable field investigation point distribution scheme greatly contributes to the accuracy of field investigation results aiming at the problems.
At present, partial polluted sites to be repaired in China are subjected to site risk assessment firstly, site pollution areas are divided through the risk assessment, and then the sites are repaired. However, the traditional risk assessment or site survey has obvious disadvantages, and a system stationing method, a random stationing method, a partition stationing method and the like are generally adopted in a stationing mode, wherein: the system point distribution method is also called as a grid point distribution method, and mainly aims at sampling point distribution of plots with uncertain soil pollution characteristics or seriously damaged original conditions of the plots, the plot is divided into a plurality of plots with equal areas, each plot is provided with a detection point position, the system point distribution method is influenced by the size of the grid, and the smaller the grid is, the higher the sampling precision is; when corresponding monitoring point locations are initially arranged for areas with overlarge investigation area of a polluted site, similar soil characteristics and the same soil use function, a random point arrangement method is usually adopted for soil sampling, the random point arrangement method has certain requirements on the area of the site to be detected, and is not suitable for areas with complex soil environments; the partition point distribution method mainly aims at the problems that the original condition of soil is well preserved, the functions of all blocks are clear, the investigation area is large and the like, the field can be divided into more uniform areas according to the original functional properties of the field, and the point distribution is carried out according to the divided areas, so that the potential pollution areas of the detection area can be displayed, but the division of the areas has great influence on the obtained result. The common spot distribution survey size in the prior art is generally 40m by 40m, and the site pollution range boundary obtained by the spot distribution survey size is usually large in uncertainty, so that the repair cost is increased when site repair is carried out, and the repair efficiency of a polluted site is reduced.
Disclosure of Invention
The invention provides a refined site investigation method based on remediation efficiency, which is used for providing a more detailed investigation method under the condition that site pollution information and a pollution boundary are known, so as to overcome the defects in the prior art.
In order to achieve the purpose, the invention provides a refined site investigation method based on repair efficiency, which comprises the following steps:
a. and (3) field data sorting and analyzing: the existing data of the target restoration site are collected, sorted and analyzed, so that a severe pollution area, a moderate pollution area and a mild pollution area of the site are determined;
b. and (3) verifying a heavily-polluted area: on the basis of existing point location data, sampling the heavily polluted area by adopting a discrete point location method, detecting and analyzing the collected soil sample, if the detection result is consistent with the detection result of the existing point location sample and belongs to heavy pollution, checking the heavily polluted area without error, and if the detection result does not belong to heavy pollution, re-dividing the polluted area according to the result;
c. correction of the range of the medium pollution area: on the basis of existing point location data, performing encryption point distribution on the moderate pollution area by adopting an encryption point distribution method, determining the actual range of the moderate pollution area according to the detection result of the encryption point distribution, if the detection result of the encryption point distribution belongs to moderate pollution, the pollution boundary does not need to be corrected, and if the detection result does not belong to the moderate pollution, the boundary of the moderate pollution area is corrected according to the actual detection result;
d. judging whether a slightly polluted area is polluted or not: on the basis of existing point location data, point distribution is carried out by adopting an incremental method, a certain increment number is set in a certain area, all incremental samples are mixed to prepare an incremental mixed sample, then target pollutant detection is carried out on the incremental mixed sample, if the detection result is that the incremental mixed sample is not detected, the certain area is determined to be a pollution-free area, and if the detection result is that the incremental mixed sample is detected or slightly polluted, the certain area is determined to be polluted;
e. making a pollution partition grading map of the whole field: and d, based on the analysis results of the steps b to d, correcting the whole to-be-repaired pollution site on the existing pollution distribution map to obtain a corrected whole site pollution partition grading map.
In the embodiment of the invention, the site data comprise use history, hydrogeological conditions, site risk assessment midpoint data information and contaminated area division, wherein a heavily contaminated area is that a target pollutant exceeds a repair site repair target value by more than 10 times, a moderately contaminated area is that a target pollutant exceeds a repair site repair target value by 3-10 times, and a lightly contaminated area is that a target pollutant exceeds a repair site repair target value by 0-3 times.
In the embodiment of the invention, in the step b, the principle of performing discrete point method point distribution in the heavily polluted region is that the number of distributed points is set according to the area of the heavily polluted region, one discrete point is set in each 20m × 20m heavily polluted region, and the sampling depth is set by referring to the existing point data information.
In an embodiment of the present invention, the principle of performing the encrypted distribution in the medium-pollution area in step c is to set a distribution point every 10m × 10m of the medium-pollution area.
According to the method, the field is sampled and investigated by respectively adopting the discrete point distribution method, the encryption point distribution method and the increment method for distribution of the areas with different pollution degrees, so that the problem that the boundary of the pollution area is not accurately confirmed by adopting a system point distribution method, a random point distribution method, a partition point distribution method and the like in the prior art is solved, the precision of the identification of the pollution area is improved, the improvement of the repair efficiency of the pollution area is facilitated, and the cost is saved.
Drawings
FIG. 1 is an overall flow chart of the present invention;
FIG. 2 is a schematic view of pollution distribution plotted by field data sorting and analysis according to the present invention;
FIG. 3 is a flow chart of the heavy contaminated area verification of the present invention;
FIG. 4 is a schematic illustration of the verification of heavily contaminated areas in accordance with the present invention;
FIG. 5 is a flowchart illustrating the process of correcting the range of the moderately contaminated area according to the present invention;
FIG. 6 is a schematic view illustrating the correction of the range of the moderately contaminated area according to the present invention;
FIG. 7 is a flow chart of the present invention for determining whether there is contamination in a slightly contaminated area;
FIG. 8 is a schematic view illustrating the determination of the presence or absence of contamination in a lightly contaminated area according to the present invention;
FIG. 9 is a modified full field contamination zone classification chart according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Fig. 1 is a schematic overall flow diagram of the present invention, and the present invention provides a method for investigating a refined site based on a repair efficiency, as shown in fig. 1, including the following steps:
a. and (3) field data sorting and analyzing: collecting existing data of a target restoration site, preliminarily grasping data of site use history, hydrogeological conditions, site risk assessment report site data information, pollution area division and the like, and determining a severe pollution area, a moderate pollution area and a mild pollution area of the site through sorting and analyzing the data;
b. and (3) verifying a heavily-polluted area: on the basis of existing point location data, randomly distributing points in a heavily polluted area by adopting a discrete point distribution method, detecting and analyzing collected soil samples, if a detection result is consistent with a detection result of the existing point location samples and belongs to heavy pollution, verifying the heavily polluted area to be correct, and if the detection result does not belong to the heavy pollution, re-dividing the polluted area according to the result;
c. correction of the range of the medium pollution area: on the basis of existing point location data, performing encryption point distribution on a moderate pollution area by adopting an encryption point distribution method, determining the actual range of the moderate pollution area according to the detection result of the encryption point distribution, if the detection result of the encryption point distribution belongs to moderate pollution, correcting the pollution boundary without correcting, and if the detection result does not belong to the moderate pollution, correcting the boundary of the moderate pollution area according to the actual detection result;
d. judging whether a slightly polluted area is polluted or not: on the basis of existing point location data, point distribution is carried out by adopting an incremental method, a certain increment number is set in a certain area, all incremental samples are mixed to prepare an incremental mixed sample, then target pollutant detection is carried out on the incremental mixed sample, if the detection result is that the incremental mixed sample is not detected, the certain area is determined to be a pollution-free area, and if the detection result is that the incremental mixed sample is detected or slightly polluted, the certain area is determined to be polluted;
e. making a pollution partition grading map of the whole field: and d, based on the analysis results of the steps b to d, correcting the whole to-be-repaired pollution site on the existing pollution distribution map to obtain a corrected whole site pollution partition grading map.
In the embodiment of the invention, the site data comprise use history, hydrogeological conditions, site risk assessment midpoint data information and contaminated area division, wherein a heavily contaminated area is that a target pollutant exceeds a repair site repair target value by more than 10 times, a moderately contaminated area is that a target pollutant exceeds a repair site repair target value by 3-10 times, and a lightly contaminated area is that a target pollutant exceeds a repair site repair target value by 0-3 times.
In the embodiment of the invention, in the step b, the principle of performing discrete point method point distribution in the heavily polluted region is that the number of distributed points is set according to the area of the heavily polluted region, one discrete point is set in each 20m × 20m heavily polluted region, and the sampling depth is set by referring to the existing point data information.
In the embodiment of the present invention, the principle of performing encryption distribution on the moderate pollution area in step c is to set a distribution point every 10m × 10m of the moderate pollution area.
FIG. 2 is a schematic view of pollution distribution plotted by the field data sorting and analyzing method of the present invention. As shown in fig. 2, a plot with a length of 100m and a width of 80m, which is respectively a heavy pollution area, a medium pollution area and a light pollution area in a certain repair field, is selected, and the field is divided into a heavy pollution area, a medium pollution area and a light pollution area according to standard exceeding multiples by taking a field repair target value as a standard according to collected field data and existing point data.
Fig. 3 is a flow chart of verification of a heavily polluted area according to the present invention, and as shown in fig. 3, on the basis of existing point location data, the point distribution method is adopted to randomly distribute and sample the heavily polluted area, and the collected soil sample is detected and analyzed, and if the detected target pollutant exceeds the repair target value of the repair site by more than 10 times and belongs to heavy pollution, the heavily polluted area can be considered to be verified to be correct; and if the detection result does not belong to severe pollution, re-dividing the polluted area according to the result, namely if the sampling result of the discrete points shows moderate pollution, continuing to encrypt and arrange the points according to the step c to correct the pollution range, and if the result shows mild standard exceeding, referring to the sampling incremental method and arranging the points according to the step d to judge whether the pollution exists. When the site is repaired, if the area is verified as a heavily polluted area, the polluted soil in the heavily polluted area needs to be completely repaired, and a repairing mode with high repairing efficiency and good repairing effect can be adopted for repairing.
As can be seen from the site pollution distribution diagram drawn in FIG. 2, the area of the heavily polluted area is about 1943.5m2According to the principle of point placement by the discrete point method, 1 discrete point is set in every 20m by 20m area in the heavily polluted area, so that the embodiment sets 5 discrete points in the heavily polluted area, and the arrangement of the discrete points is as shown in fig. 4. Through sampling and detecting 5 discrete points, the detection result shows that all the points exceed the standard>And 10 times, the result shows that the heavily polluted area is verified to be correct and needs to be repaired completely.
Fig. 5 is a flowchart of correcting the range of the moderately polluted area according to the present invention, as shown in fig. 5, on the basis of the existing point location data, the encrypted point distribution method is adopted to perform encrypted point distribution sampling in the moderately polluted area, and the sampling result is detected, and the actual range of the moderately polluted area is determined according to the detection result of the encrypted point distribution sampling. And in the moderate pollution area, carrying out accurate repair by taking the corrected pollution boundary as the standard.
As can be seen from FIG. 2, the area of the medium contamination region plotted with the point location data collected by the data is 4197.9m2And carrying out encryption distribution on the moderate pollution area of the field by adopting the encryption distribution method, wherein the encryption distribution is carried out on the moderate pollution area according to sampling detection in every 10m by 10m, and as shown in the corrected front part of figure 6, the moderate pollution area is subjected to encryption distribution. Sampling, detecting and analyzing the stationed points, and redrawing the moderate pollution area by encrypting the stationed detection resultThe actual range and the corrected moderate pollution area are shown in the corrected part of fig. 6, and after encrypted distribution, the area of the corrected moderate pollution area is 3089m2。
Fig. 7 is a flow chart of determining whether a slightly polluted area is polluted, as shown in fig. 7, points are distributed by an incremental method based on existing point location data, a certain incremental number is set in a certain area, incremental samples are mixed to prepare an incremental mixed sample, then the incremental mixed sample is subjected to target pollutant detection, and if the detection result is undetected, the certain area is determined to be a pollution-free area; if the detection result is detected or slight pollution, the block is determined to have pollution. And in a slightly polluted area, repairing the polluted soil by adopting a screening and repairing mode.
As can be seen from FIG. 2, the point location data collected by the data is used to map a slightly polluted area, and the area of the slightly polluted area is 1858.6m2And sampling and analyzing the slightly polluted area of the site by adopting the incremental method, dividing the slightly polluted area into decision units with equal areas, and sampling by adopting the incremental method as shown in the part before the correction of fig. 8. The corrected lightly contaminated area is shown in the corrected part of fig. 8 by incremental sampling detection analysis. The required repair area of the slightly polluted area after correction is 1074.6m2。
As shown in fig. 9, based on the sampling analysis results of different pollution areas and different point distribution methods, the whole to-be-repaired polluted site is corrected on the existing pollution distribution map, the boundaries of the heavy, medium and light polluted areas are accurately outlined, the range of clean soil in the light polluted area is drawn, and the corrected boundary of the heavy polluted area is not changed and needs to be completely repaired; the medium pollution area is corrected and the pollution area is 4197.9m2Reduced to 3089m2The pollution range is more accurate, and a moderately polluted area can be accurately repaired; the lightly contaminated area is screened to have 784m2Clean soil region can screen the restoration to slight pollution area, and suitable restoration scheme is formulated to different pollution areas, promotes the restoration efficiency in contaminated site.
According to the invention, the field is sampled and investigated by respectively adopting the discrete point distribution method, the encryption point distribution method and the incremental method for distribution of the areas with different pollution degrees, so that the problem that the boundary of the pollution area is not accurately confirmed by adopting a system point distribution method, a random point distribution method, a partition point distribution method and the like in the prior art is solved, the precision of the identification of the pollution area is improved, the improvement of the repair efficiency of the pollution area is facilitated, and the cost is saved.
The above examples are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the foregoing examples, those of ordinary skill in the art understand that: it is to be understood that modifications may be made to the above-described embodiments, or equivalents may be substituted for some of the features of the embodiments without departing from the spirit or scope of the embodiments.
Claims (4)
1. A refined site investigation method based on restoration efficiency is characterized by comprising the following steps:
a. and (3) field data sorting and analyzing: the existing data of the target restoration site are collected, sorted and analyzed, so that a severe pollution area, a moderate pollution area and a mild pollution area of the site are determined;
b. and (3) verifying a heavily-polluted area: on the basis of existing point location data, sampling the heavily polluted area by adopting a discrete point location method, detecting and analyzing the collected soil sample, if the detection result is consistent with the detection result of the existing point location sample and belongs to heavy pollution, checking the heavily polluted area without error, and if the detection result does not belong to heavy pollution, re-dividing the polluted area according to the result;
c. correction of the range of the medium pollution area: on the basis of existing point location data, performing encryption point distribution on the moderate pollution area by adopting an encryption point distribution method, determining the actual range of the moderate pollution area according to the detection result of the encryption point distribution, if the detection result of the encryption point distribution belongs to moderate pollution, the pollution boundary does not need to be corrected, and if the detection result does not belong to the moderate pollution, the boundary of the moderate pollution area is corrected according to the actual detection result;
d. judging whether a slightly polluted area is polluted or not: on the basis of existing point location data, point distribution is carried out by adopting an incremental method, a certain increment number is set in a certain area, all incremental samples are mixed to prepare an incremental mixed sample, then target pollutant detection is carried out on the incremental mixed sample, if the detection result is that the incremental mixed sample is not detected, the certain area is determined to be a pollution-free area, and if the detection result is that the incremental mixed sample is detected or slightly polluted, the certain area is determined to be polluted;
e. making a pollution partition grading map of the whole field: and d, based on the analysis results of the steps b to d, correcting the whole to-be-repaired pollution site on the existing pollution distribution map to obtain a corrected whole site pollution partition grading map.
2. The method for fine site survey based on remediation efficiency as claimed in claim 1, wherein the site data in step a includes usage history, hydrogeological conditions, site risk assessment site data information and contaminated area division, wherein a heavily contaminated area is a target pollutant exceeding a remediation site remediation target value by more than 10 times, a moderately contaminated area is a target pollutant exceeding a remediation site remediation target value by 3-10 times, and a lightly contaminated area is a target pollutant exceeding a remediation site remediation target value by 0-3 times.
3. The method for investigating refined site based on recovery efficiency according to claim 1, wherein in the step b, a discrete point method is performed in the heavily polluted region, the number of distributed points is set according to the area of the heavily polluted region, one discrete point is set in each 20m × 20m heavily polluted region, and the sampling depth is set with reference to existing point location data information.
4. The method for refined site survey based on remediation efficiency of claim 1, wherein the encryption distribution of the moderate pollution area in step c is performed on the basis of arranging one distribution point in every 10m by 10m moderate pollution area.
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| CN112974495A (en) * | 2021-02-05 | 2021-06-18 | 四川国润和洁环境科技有限公司 | Remediation method for organic contaminated soil |
| CN113020232A (en) * | 2021-03-09 | 2021-06-25 | 农业农村部环境保护科研监测所 | Comprehensive treatment and dynamic regulation and control method for polluted farmland |
| CN114130811A (en) * | 2021-11-13 | 2022-03-04 | 北京工业大学 | Method for restoring cadmium-polychlorinated biphenyl composite polluted soil by crop rotation of astragalus sinicus and sedum plumbizincicola |
| CN117969159A (en) * | 2024-03-01 | 2024-05-03 | 浙江求实环境监测有限公司 | Soil pollution detects early warning system based on artificial intelligence |
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