CN116908361A - New pollutant identification and tracing method for water environment of river basin of industrial park - Google Patents
New pollutant identification and tracing method for water environment of river basin of industrial park Download PDFInfo
- Publication number
- CN116908361A CN116908361A CN202310847479.1A CN202310847479A CN116908361A CN 116908361 A CN116908361 A CN 116908361A CN 202310847479 A CN202310847479 A CN 202310847479A CN 116908361 A CN116908361 A CN 116908361A
- Authority
- CN
- China
- Prior art keywords
- park
- new
- water
- river basin
- pollutant
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000003344 environmental pollutant Substances 0.000 title claims abstract description 68
- 231100000719 pollutant Toxicity 0.000 title claims abstract description 67
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 65
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 25
- 239000013049 sediment Substances 0.000 claims abstract description 24
- 239000000203 mixture Substances 0.000 claims abstract description 17
- 238000012216 screening Methods 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 238000005070 sampling Methods 0.000 claims abstract description 10
- 238000012847 principal component analysis method Methods 0.000 claims abstract description 8
- 238000011835 investigation Methods 0.000 claims abstract description 7
- 239000007791 liquid phase Substances 0.000 claims abstract description 5
- 238000001819 mass spectrum Methods 0.000 claims abstract description 5
- 230000008685 targeting Effects 0.000 claims abstract description 3
- 239000011159 matrix material Substances 0.000 claims description 15
- 239000003242 anti bacterial agent Substances 0.000 claims description 13
- 229940088710 antibiotic agent Drugs 0.000 claims description 13
- 239000000356 contaminant Substances 0.000 claims description 13
- 239000010865 sewage Substances 0.000 claims description 11
- 238000004519 manufacturing process Methods 0.000 claims description 10
- 230000014509 gene expression Effects 0.000 claims description 9
- 239000003960 organic solvent Substances 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 5
- 238000002290 gas chromatography-mass spectrometry Methods 0.000 claims description 4
- 238000000513 principal component analysis Methods 0.000 claims description 4
- 238000009960 carding Methods 0.000 claims description 3
- 230000001186 cumulative effect Effects 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 239000012528 membrane Substances 0.000 claims description 3
- 238000002414 normal-phase solid-phase extraction Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 239000012071 phase Substances 0.000 claims description 3
- 238000002137 ultrasound extraction Methods 0.000 claims description 3
- 238000001035 drying Methods 0.000 claims description 2
- 238000001914 filtration Methods 0.000 claims description 2
- 238000000227 grinding Methods 0.000 claims description 2
- 239000007788 liquid Substances 0.000 claims description 2
- 238000007873 sieving Methods 0.000 claims description 2
- 230000003115 biocidal effect Effects 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 239000003814 drug Substances 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000002347 injection Methods 0.000 description 2
- 239000007924 injection Substances 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 239000000243 solution Substances 0.000 description 2
- 238000011144 upstream manufacturing Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000598 endocrine disruptor Substances 0.000 description 1
- 231100000049 endocrine disruptor Toxicity 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000004895 liquid chromatography mass spectrometry Methods 0.000 description 1
- 238000011068 loading method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
- 231100000331 toxic Toxicity 0.000 description 1
- 230000002588 toxic effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
- G01N30/88—Integrated analysis systems specially adapted therefor, not covered by a single one of the groups G01N30/04 - G01N30/86
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
The invention discloses a method for identifying and tracing new pollutants in a river basin water environment of an industrial park, which comprises the following steps: performing point setting sampling, and screening and determining new pollutant types in water bodies and sediments in parks and nearby watercourses based on a high-throughput non-targeted screening method; screening potential new pollutant emission enterprise sources in the park according to literature data and field investigation; sampling potential pollution sources; adopting liquid phase/gas chromatography-mass spectrum targeting quantitative detection of new pollutants in potential pollution sources to obtain pollution data of the new pollutants; performing traceable analysis on new pollutant data results in river basin water and sediments by adopting a principal component analysis method, determining the number and contribution rate of source contribution factors, analyzing new pollutant compositions in the source contribution factors, and classifying the source contribution factors; analyzing new pollutant factor composition discharged by potential enterprise pollution sources in the park, and comparing and verifying the new pollutant factor composition with the analysis source contribution factor composition; the method has the characteristics of high speed and high accuracy.
Description
Technical Field
The invention relates to the field of water environment pollutant identification and tracing methods, in particular to an industrial park river basin water environment pollutant identification and tracing method.
Background
In recent years, the control of new pollutants is widely focused by environmental management workers and scientific research communities at home and abroad. The new pollutants generally focused at home and abroad mainly comprise antibiotics, perfluorinated compounds, environmental endocrine disruptors and the like. The pollution situation of new pollutants in water environment of river basin in China is severe, and some new pollutants have potential risks for the health of surrounding residents. The production and use of toxic and harmful substances is a major source of new pollutants in the environment. The production capacity of most chemical products is in the front of the world, and by 2021, 27 provincial units in China totally identify and publish 579 chemical parks, and the water body in the storage watershed of the industrial park in China generally faces the problems of multiple and complex new pollutant pollution types and unknown pollution sources of the park. Therefore, the rapid and accurate identification of the main new pollutants and the main pollution sources in the park river basin is the key for realizing the management and control of the new pollutant sources.
At present, identification and tracing of new pollutants in watershed water environment near an industrial park are mostly based on targeted quantitative identification of one or more types of key new pollutants, and source analysis is carried out on the key new pollutants through means such as qualitative or model analysis. The related technology has limited identification types for new pollutants in the watershed water body, and the traceability of the new pollutants in the watershed water environment requires a large amount of enterprise source list information of the discharged park, so that the main new pollutants in the industrial park can not be rapidly identified and the main pollution sources can not be accurately analyzed; therefore, there is an urgent need to provide a method for identifying and tracing water environmental pollutants in a river basin in an industrial park to solve the above problems.
Disclosure of Invention
Therefore, a method for identifying and tracing new pollutants in the water environment of the river basin of the industrial park with high speed and high accuracy is needed.
In order to achieve the above purpose, the inventor provides a method for identifying and tracing new pollutants in a water environment of a river basin in an industrial park, which comprises the following steps:
s1, carrying out point-setting sampling on tail water of a park, water bodies in nearby waterbasins and sediments, and screening and determining new pollutant types in the water bodies in the park and nearby waterbasins and sediments based on a high-flux non-targeted screening method;
s2, based on the screening result of the S1, the main production and emission source types of antibiotics are known through home and abroad literature carding, and important enterprises in a park to be researched are locked; the industrial product production and use raw and auxiliary material types and consumption and the current sewage discharge information of the park and the important enterprises of the park are obtained through the field investigation of the park, and the potential new pollutant discharge enterprise sources of the park are screened;
s3, sampling the water discharged from the potential enterprise pollution source, the water discharged from the centralized sewage treatment plant in the park, the water in the river basin and the sediment;
s4, quantitatively detecting new pollutants in the water discharged from the potential enterprise pollution sources, the water at the inlet and outlet of the centralized sewage treatment plant of the park, the water in the river basin and the sediment by adopting liquid phase/gas chromatography-mass spectrometry, and acquiring pollution data of the new pollutants in the water environment of the park, the potential enterprise pollution sources and the river basin and the sediment;
s5, performing traceable analysis on new pollutant data results in the river basin water and sediments by adopting a principal component analysis method, determining the number and contribution rate of source contribution factors, analyzing new pollutant compositions in the source contribution factors, and classifying the source contribution factors;
and S6, analyzing new pollutant factor composition discharged by the potential enterprise pollution source of the park, and comparing and verifying the new pollutant factor composition with the S5 analysis source contribution factor composition.
As a preferred embodiment of the present invention, in step S5, the principal component analysis method includes the steps of:
s501, performing Butt-Latt sphere and KMO metric test on pollutant content data of a sample;
s502, normalizing the original data, and establishing a normalization matrix Z, wherein the expression is:
wherein ,as contaminant factor a average, x ab For the measured value of contaminant a at sample point b (a=1, 2, …, n; b=l, 2, …, k);
wherein ,sa Standard deviation for contaminant factor a;
wherein ,zab Is a standardized contaminant variable;
s503, establishing a correlation coefficient matrix C among variables, and calculating characteristic values of the correlation coefficient matrix C, wherein the expression is as follows:
|C-F a E|＝0
wherein ,Fa Is the eigenvalue of the correlation coefficient matrix, F 1 ≥F 2 ≥...≥F a 0 (a=1, 2,., n), E is an identity matrix;
s504, calculating a variance contribution rate, wherein the expression is:
wherein ,Ga A variance contribution rate of the a-th principal component, e p Cumulative variance contribution rate for p principal components;
s505, selecting the initial characteristic value larger than 1 or the accumulated variance contribution rate exceeding 85% as a main factor.
In a preferred mode of the present invention, in step S501, the contaminant content data of the sample is subjected to the butler-spherical and KMO metric test, and further includes the steps of: a sample with a butler sphere test showing significance less than 0.05 and a KMO metric greater than 0.5 was calculated as a sample for principal component analysis.
As a preferred mode of the present invention, the step S4 includes the steps of:
s401, filtering a water sample through a filter membrane, drying sediment for 72 hours, grinding and sieving, and performing ultrasonic extraction through an organic solvent;
s402, passing through a solid phase extraction column;
s403, purifying and separating different targets by adopting organic solvents;
s404, performing detection analysis by a liquid inlet phase/gas chromatography-mass spectrum targeting quantitative detector.
Compared with the prior art, the beneficial effects achieved by the technical scheme are as follows: according to the method, main new pollutants at the drainage port and the drainage basin of the park are rapidly screened and identified based on a non-targeted screening method of high-resolution mass spectrum, the targeted quantitative analysis method of liquid phase/gas chromatography-mass spectrum combination is utilized to obtain the component factor data of the main new pollutants in the water environment of the water basin of the park, enterprises in key industries and the vicinity of the park, the pollution characteristics of the new pollutants at the upstream and downstream of the drainage basin in the vicinity of the park are analyzed, and the rapid identification and accurate tracing of the new pollutants in the water environment of the drainage basin in the vicinity of the park are effectively realized by combining the main component analysis and component comparison analysis modes; in addition, the method can provide technical support for source management and control of new pollutants in the watershed water environment, and has wide application prospect.
Drawings
FIG. 1 is a flow chart of a method according to an embodiment;
FIG. 2 is a graph of the results of principal factors resolved by the principal component analysis method according to the embodiment;
FIG. 3 is a plot of the principal antibiotic factor loadings resolved by the principal component analysis method of the present embodiment;
figure 4 is a graph of antibiotic composition factor information for a campus and its primary pharmaceutical enterprise according to an embodiment.
Detailed Description
In order to describe the technical content, constructional features, achieved objects and effects of the technical solution in detail, the following description is made in connection with the specific embodiments in conjunction with the accompanying drawings.
As shown in fig. 1, the embodiment provides a method for identifying and tracing new pollutants in a water environment of a river basin in an industrial park, which comprises the following steps:
s1, carrying out point-setting sampling on tail water of a park, water bodies in nearby waterbasins and sediments, and screening and determining new pollutant types in the water bodies in the park and nearby waterbasins and sediments based on a high-flux non-targeted screening method;
s2, based on the screening result of the S1, the main production and emission source types of antibiotics are known through home and abroad literature carding, and important enterprises in a park to be researched are locked; the industrial product production and use raw and auxiliary material types and consumption and the current sewage discharge information of the park and the important enterprises of the park are obtained through the field investigation of the park, and the potential new pollutant discharge enterprise sources of the park are screened;
s3, sampling potential enterprise pollution source drainage, centralized sewage treatment plant inlet and outlet water in a park, and river basin water and sediment based on the analysis results of the S1 and the S2;
s4, quantitatively detecting main new pollutants in the water discharged/taken over by the potential enterprise pollution sources, the inlet and outlet water bodies of the centralized sewage treatment plant of the park, the water bodies of the river basin and the sediments by adopting liquid phase/gas chromatography-mass spectrometry, and acquiring pollution data of the new pollutants in the park, the potential enterprise pollution sources, the water environments of the river basin and the sediments; in the specific implementation process of the embodiment, the collected water sample is filtered by a filter membrane, sediment is dried for 72 hours in a cooling mode, ground and sieved, then is subjected to ultrasonic extraction by an organic solvent, and then passes through a solid phase extraction column, organic solvents with a certain proportion are adopted for purifying and separating different target objects, and finally, the target objects are subjected to detection analysis by an instrument; during gas chromatography-mass spectrometry detection, a chromatographic column is selected, parameters such as a heating program, a sample injection amount, a scanning mode, a transmission line temperature and the like are set, and an internal standard is added before detection and analysis for detection and analysis; during liquid chromatography-mass spectrometry detection, a chromatographic column and a mobile phase are selected, parameters such as gradient elution program, sample injection amount, column temperature and the like are set, and the volume of a sample is fixed before detection and analysis, so that detection and analysis are performed.
S5, performing traceable analysis on main new pollutant data results in the river basin water and sediment by adopting a principal component analysis method PCA, determining the number and contribution rate of main source contribution factors, analyzing the main new pollutant composition in the source contribution factors, and classifying the source contribution factors; in this embodiment, the PCA analysis includes the following steps:
s501, performing Butlet sphere and KMO metric inspection on pollutant content data of a sample, and calculating a sample with the Butlet sphere inspection showing significance less than 0.05 and the KMO metric value greater than 0.5 as a sample for principal component analysis;
s502, normalizing the original data, and establishing a normalization matrix Z, wherein expressions are respectively as follows:
wherein ,as contaminant factor a average, x ab For the measured value of contaminant a at sample point b (a=1, 2, …, n; b=l, 2, …, k);
wherein ,sa Standard deviation for contaminant factor a;
wherein ,zab Is a standardized contaminant variable;
s503, establishing a correlation coefficient matrix C among variables, and calculating characteristic values of the correlation coefficient matrix C, wherein the expression is as follows:
|C-F a E|＝0
wherein ,Fa Is the eigenvalue of the correlation coefficient matrix, F 1 ≥F 2 ≥...≥F a 0 (a=1, 2,., n), E is an identity matrix;
s504, calculating a variance contribution rate, wherein the expression is:
wherein ,Ga A variance contribution rate of the a-th principal component, e p Cumulative variance contribution rate for p principal components;
s505, selecting a main factor according to the principle that the initial characteristic value is larger than 1 or the accumulated variance contribution rate exceeds 85%, and explaining most pollution source information of main new pollutants.
And S6, analyzing new pollutant factor composition discharged by the potential enterprise pollution source of the park, and comparing and verifying with the S5 analysis source contribution factor composition, thereby rapidly locking the enterprise source of the park.
Specific examples are as follows:
the river coast is a river with unclear pollution level and unknown source of antibiotics in water, and the sources of antibiotics are mainly from the influences of pharmaceutical pharmacy, life and cultivation emission based on literature and on-site investigation. Comprehensive drainage basin investigation shows that an industrial park mainly used for medicine production exists upstream, and more potential medicine production enterprises are in the park, but no direct evidence exists. In order to determine the correlation between the potential sewage source and the river antibiotic pollution, partial sampling point water and surface layer sediment are collected in the drainage domain, and meanwhile, sampling investigation is carried out on sewage outlet water samples of the park and key medical enterprises.
The watershed water environment data is imported into Spss software, 18 main detected antibiotics are analyzed by adopting factor analysis, the main component number is 5, namely PC1, PC2, PC3, PC4 and PC5 are respectively analyzed, and 5 main pollution source types exist as shown in figure 2.
As shown in fig. 3, by analyzing the factor load of the main antibiotics, the variance contribution rate in the first type pollution source PC1 was found to account for 31.45% of the total variance, wherein NAST, TAP, ENR, SMT has a higher load of 0.819, 0.701, 0.685, 0.683, respectively; the OFC, SMZ, DOC, RTM factor load in the second pollution source PC2 is higher and is respectively 0.715, 0.709, 0.605 and 0.605, which explains 22.20% of the total variance; in PC3, the factor load of SMX, NFC, ENR, TAP in the third type of pollution source was high, 0.676, 0.615, 0.527, 0.508 respectively, with variance interpretation accounting for 17.04% of the total variance. In PC4 and PC5, the factor loads of corresponding LOM, SMX, MCZ, ETM and INN, TMP, SMX, LOM, respectively, were higher in these two classes of pollution sources, and their variances accounted for 9.77% and 7.11% of the total variance, respectively.
As shown in fig. 4, the composition characteristics of antibiotics in the drainage of the park and the drainage of the main potential source enterprises are analyzed, the analysis is compared with the analysis result of the main component analysis source, the main factor components of the antibiotics in the source list of the park and the pharmaceutical enterprise thereof are OFC, RTM and SCZ, in addition, the OFC and the RTM are mainly used for medical treatment, and the corresponding correspondence of the components of the source analysis result PC2 of the water environment of the river basin is consistent, so that 22.20% of the total source variance is explained, therefore, if the pollution influence of certain antibiotics discharged by industrial pharmaceutical in the river basin on the antibiotics of the river basin is larger, the source distribution of the antibiotics in the water body of the river basin can be further quantitatively analyzed by the combination of the analysis of the main component, the multi-component linear regression.
It should be noted that, although the foregoing embodiments have been described herein, the scope of the present invention is not limited thereby. Therefore, based on the innovative concepts of the present invention, alterations and modifications to the embodiments described herein, or equivalent structures or equivalent flow transformations made by the present description and drawings, apply the above technical solution, directly or indirectly, to other relevant technical fields, all of which are included in the scope of the invention.
Claims (4)
1. The method for identifying and tracing the new pollutants in the water environment of the river basin of the industrial park is characterized by comprising the following steps of:
s1, carrying out point-setting sampling on tail water of a park, water bodies in nearby waterbasins and sediments, and screening and determining new pollutant types in the water bodies in the park and nearby waterbasins and sediments based on a high-flux non-targeted screening method;
s2, based on the screening result of the S1, the main production and emission source types of antibiotics are known through home and abroad literature carding, and important enterprises in a park to be researched are locked; the industrial product production and use raw and auxiliary material types and consumption and the current sewage discharge information of the park and the important enterprises of the park are obtained through the field investigation of the park, and the potential new pollutant discharge enterprise sources of the park are screened;
s3, sampling the water discharged from the potential enterprise pollution source, the water discharged from the centralized sewage treatment plant in the park, the water in the river basin and the sediment;
s4, quantitatively detecting new pollutants in the water discharged from the potential enterprise pollution sources, the water at the inlet and outlet of the centralized sewage treatment plant of the park, the water in the river basin and the sediment by adopting liquid phase/gas chromatography-mass spectrometry, and acquiring pollution data of the new pollutants in the water environment of the park, the potential enterprise pollution sources and the river basin and the sediment;
s5, performing traceable analysis on new pollutant data results in the river basin water and sediments by adopting a principal component analysis method, determining the number and contribution rate of source contribution factors, analyzing new pollutant compositions in the source contribution factors, and classifying the source contribution factors;
and S6, analyzing new pollutant factor composition discharged by the potential enterprise pollution source of the park, and comparing and verifying the new pollutant factor composition with the S5 analysis source contribution factor composition.
2. The method for identifying and tracing new pollutants in water environment in a river basin in an industrial park according to claim 1, wherein in step S5, the principal component analysis method comprises the following steps:
s501, performing Butt-Latt sphere and KMO metric test on pollutant content data of a sample;
s502, normalizing the original data, and establishing a normalization matrix Z, wherein the expression is:
wherein ,as contaminant factor a average, x ab For the measured value of contaminant a at sample point b (a=1, 2, …, n; b=l, 2, …, k);
wherein ,sa Standard deviation for contaminant factor a;
wherein ,zab Is a standardized contaminant variable;
s503, establishing a correlation coefficient matrix C among variables, and calculating characteristic values of the correlation coefficient matrix C, wherein the expression is as follows:
|C-F a E|＝0
wherein ,Fa Is the eigenvalue of the correlation coefficient matrix, F 1 ≥F 2 ≥...≥F a 0 (a=1, 2,., n), E is an identity matrix;
s504, calculating a variance contribution rate, wherein the expression is:
wherein ,Ga A variance contribution rate of the a-th principal component, e p Cumulative variance contribution rate for p principal components;
s505, selecting the initial characteristic value larger than 1 or the accumulated variance contribution rate exceeding 85% as a main factor.
3. The method for identifying and tracing new pollutants in water environment in industrial park river basin according to claim 2, wherein in step S501, the pollutant content data of the sample is checked for buterlite sphere and KMO metric values, and further comprising the steps of: a sample with a butler sphere test showing significance less than 0.05 and a KMO metric greater than 0.5 was calculated as a sample for principal component analysis.
4. The method for identifying and tracing new pollutants in water environment in river basin of industrial park as claimed in claim 1, wherein said step S4 comprises the steps of:
s401, filtering a water sample through a filter membrane, drying sediment for 72 hours, grinding and sieving, and performing ultrasonic extraction through an organic solvent;
s402, passing through a solid phase extraction column;
s403, purifying and separating different targets by adopting organic solvents;
s404, performing detection analysis by a liquid inlet phase/gas chromatography-mass spectrum targeting quantitative detector.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310847479.1A CN116908361A (en) | 2023-07-12 | 2023-07-12 | New pollutant identification and tracing method for water environment of river basin of industrial park |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310847479.1A CN116908361A (en) | 2023-07-12 | 2023-07-12 | New pollutant identification and tracing method for water environment of river basin of industrial park |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116908361A true CN116908361A (en) | 2023-10-20 |
Family
ID=88355755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310847479.1A Pending CN116908361A (en) | 2023-07-12 | 2023-07-12 | New pollutant identification and tracing method for water environment of river basin of industrial park |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116908361A (en) |
-
2023
- 2023-07-12 CN CN202310847479.1A patent/CN116908361A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| He et al. | In-house standard method for molecular characterization of dissolved organic matter by FT-ICR mass spectrometry | |
| CN114295749B (en) | Intelligent tracing method and system for organic pollution of water body | |
| Bieganowski et al. | Evaluation of hydrocarbon soil pollution using e-nose | |
| Hu et al. | Assessing heavy metal pollution in the surface soils of a region that had undergone three decades of intense industrialization and urbanization | |
| Canter et al. | Handbook of variables for environmental impact assessment | |
| CN111368401A (en) | Tracing method and device for pollution source and storage medium | |
| Chen et al. | Source apportionment of heavy metals in sediments and soils in an interconnected river-soil system based on a composite fingerprint screening approach | |
| Liu et al. | Concentrations, distribution, sources, and ecological risk assessment of heavy metals in agricultural topsoil of the Three Gorges Dam region, China | |
| McEachran et al. | Comparison of emerging contaminants in receiving waters downstream of a conventional wastewater treatment plant and a forest-water reuse system | |
| Hawkes et al. | Regional diversity of complex dissolved organic matter across forested hemiboreal headwater streams | |
| Chen et al. | Determination of polycyclic aromatic hydrocarbons in sludge from water and wastewater treatment plants by GC-MS | |
| Wang et al. | Suspect, non-target and target screening of pharmaceuticals and personal care products (PPCPs) in a drinking water system | |
| CN111678969A (en) | Method for analyzing heavy metal pollution source by using soil profile surface layer heavy metal accumulation proportion | |
| Pan et al. | Quantitative assessment on soil concentration of heavy metal–contaminated soil with various sample pretreatment techniques and detection methods | |
| Shao et al. | Assessment of heavy metals in sediment in a heavily polluted urban river in the Chaohu Basin, China | |
| Kutlucinar et al. | Non-targeted analysis with high-resolution mass spectrometry for investigation of riverbank filtration processes | |
| Zhao et al. | Screening of organic chemicals in surface water of the North River by high resolution mass spectrometry | |
| Andarani et al. | Study of zinc pollution in river water: Average mass balance based on irrigation schedule | |
| Wei et al. | Release of heavy metals and metalloids from two contaminated soils to surface runoff in southern China: a simulated-rainfall experiment | |
| Tao et al. | Chemical and optical characteristics and sources of PM2. 5 humic-like substances at industrial and suburban sites in Changzhou, China | |
| CN116930393B (en) | Ecological risk evaluation method for water body antibiotics comprising parent body and transformation product | |
| Islam et al. | Heavy metals pollution sources of the surface water of the Tunggak and Balok river in the Gebeng industrial area, Pahang, Malaysia | |
| CN116908361A (en) | New pollutant identification and tracing method for water environment of river basin of industrial park | |
| Mohammed et al. | Determination of polycyclic aromatic hydrocarbons and their methylated derivatives in sewage sludge from northeastern China: occurrence, profiles and toxicity evaluation | |
| Kiss et al. | Chemometric and high-resolution mass spectrometry tools for the characterization and comparison of raw and treated wastewater samples of a pilot plant on the SIPIBEL site |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |