CN109584972B - Textile industry priority control pollutant screening method - Google Patents
Textile industry priority control pollutant screening method Download PDFInfo
- Publication number
- CN109584972B CN109584972B CN201811316450.6A CN201811316450A CN109584972B CN 109584972 B CN109584972 B CN 109584972B CN 201811316450 A CN201811316450 A CN 201811316450A CN 109584972 B CN109584972 B CN 109584972B
- Authority
- CN
- China
- Prior art keywords
- toxicity
- ranking
- pollutant
- pollutants
- human
- 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.)
- Active
Links
Images
Abstract
The invention discloses a method for screening priority control pollutants in textile industry, which comprises the following four parts: (1) defining a pollutant quantitative analysis method and constructing a pollutant emission data table; (2) defining a pollutant toxicity analysis method and constructing an accounting model thereof; (3) checking the consistency of quantitative analysis and toxicity analysis sequencing by using a Spearman correlation coefficient method; (4) and further identifying the pollutant 3-type ranking difference of the textile industry priority control pollutant screening method by using a deviation value inspection method. The method comprehensively utilizes quantitative analysis and toxicity analysis methods to sequence the environmental load caused by the pollutants generated in the industrial production of the products, and adopts a Spearman correlation coefficient method and a deviation value method to compare the sequencing results, thereby providing reference for the priority control of the pollutants in the textile industry.
Description
Technical Field
The invention belongs to the field of pollutant control in the textile industry, and relates to a screening method for priority control pollutants in the textile industry.
Background
Various pollutants are generated in the production and manufacturing process of the textile industry, wherein the pollutants are free of toxic and harmful pollutants such as heavy metals, benzene series, nonyl phenol and the like. Besides directly causing harm to the atmosphere, water, soil and the like, toxic and harmful pollutants can be enriched in organisms through a food chain, and seriously affect the organisms, particularly human health. In order to prevent and treat pollution influence, a large number of experiments are carried out at home and abroad to research the toxicity effect of pollutants and screen the priority control pollutants.
The prior method for screening the pollutants at home and abroad mainly comprises a quantitative analysis method and a toxicity analysis method. Quantitative analysis is based on the regulation of the amount of contaminants, usually with less consideration given to their relative toxicity. The toxicity analysis method is used for identifying the human toxicity (such as carcinogenicity and non-carcinogenicity) and the ecological toxicity of pollutants, and mainly comprises a background enrichment index method, a seawater sediment pollution index method, a pollution load index method, an average sediment quality reference coefficient method and the like. At present, a unified screening method for preferentially controlling pollutants does not exist, the content and the testing method of the pollutants in the product and the pollutant emission limit value in wastewater are focused on for controlling the pollutants in the textile industry, and the screening research on the preferentially controlled pollutants is only rarely reported.
Disclosure of Invention
The invention aims to provide a screening method for priority control pollutants in textile industry, which is used for sequencing environmental loads caused by pollutants generated in the industrial production of products by comprehensively using quantitative analysis and toxicity analysis methods, and comparing sequencing results by using a Spearman correlation coefficient method and a deviation value method to provide reference for priority control of the pollutants in the textile industry.
In order to solve the technical problems, the following technical scheme is adopted:
a textile industry priority management and control pollutant screening method is characterized by comprising the following steps:
(1) defining a pollutant quantitative analysis method and constructing a pollutant emission data table;
(2) defining a pollutant toxicity analysis method and constructing an accounting model thereof:
2.1, taking a USEtox model as a database basis, searching human toxicity characteristic factors and ecological toxicity characteristic factors corresponding to the pollutants, and constructing a toxicity characteristic factor list;
2.2, calculating the human toxicity and the ecological toxicity environmental load of pollutants ChF;
(3) the method for detecting the consistency of quantitative analysis and toxicity analysis sequencing by using a Spearman correlation coefficient method comprises the following specific steps:
3.1, setting a pollutant discharge ranking table by taking the pollutant discharge quality as a ranking index;
3.2, respectively establishing a human toxicity ranking table and an ecological toxicity ranking table by taking the toxicity of the pollutants as ranking indexes;
3.3, carrying out quantitative analysis and toxicity analysis correlation degree test by using a Spearman correlation coefficient method;
(4) a deviation value inspection method is applied to further identify the pollutant 3-class ranking difference of the textile industry priority control pollutant screening method, and the specific steps are as follows:
4.2, calculating a human toxicity deviation value by taking the pollutant emission quality ranking and the human toxicity ranking as comparison objects;
4.2, accounting the ecotoxicity deviation value by taking the pollutant emission quality ranking and the ecotoxicity ranking as comparison objects;
preferably, in the step (1), the production process and the pollution discharge node of the chemical to be calculated are cleaned, and then the list of the pollutant discharge amount of the chemical is manufactured according to the production process and the pollution discharge node. The pollutant quantitative analysis method is based on the management and control of the mass of heavy metal pollutants, generally considers less relative toxicity of the heavy metal pollutants and is used for representing the mass of the pollutants discharged by production units within a certain time and a certain space volume.
Preferably, in 2.2 of the step (2), the human toxicity and the eco-toxicity environmental load of the pollutant are calculated ChF by using formula 1:
wherein ChF refers to human toxicity and ecological toxicity of pollutants, and the unit is cases or PAF m3Day; f is a conversion correction coefficient of the characteristic factor of the USEtox model and the chemical footprint characteristic factor, the value is 290, and the USEtox model is dimensionless; CF (compact flash)iA toxicity characterizing factor for contaminant i that is discharged into an environmental medium; eiThe mass of the pollutant i discharged into the environment medium is kg; n is the type of the environmental medium.
Preferably, the Spearman correlation coefficient (ρ) is used for expressing the degree of correlation between the quantitative analysis method and the toxicity analysis method, where ρ is in the range of { -1,1}, ρ >0 is a positive correlation, ρ <0 is a negative correlation, ρ ═ 1 is a complete positive correlation, ρ ═ 1 is a complete negative correlation, and when ρ is closer to 1, it means that the degree of correlation between the quantitative analysis method and the toxicity analysis method is higher; the closer ρ is to 0, the lower the degree of correlation between the quantitative analysis method and the toxicity analysis method, and the higher the degree of correlation is considered to be | ρ | > 0.8.
Preferably, in 3.3 of the step (3), the Spearman correlation coefficient is calculated by using the following formulas 2 and 3:
dij＝xj-yij(i＝1，2；j＝1，2，3，4，5)
-formula 2
Wherein x isjRanking the discharge amount; y is1jRanking human toxicity, y2jAn ecotoxicity ranking; d1jRank difference between discharge and human toxicity, d2jRank difference between emissions and ecotoxicity; diRanking the difference between emissions and human toxicity or ecotoxicity; rho is a correlation coefficient; n is the number of ranks.
Preferably, in the step (4), the deviation value (γ) is { -1,1}, and γ → 0 indicates that the mass-based ranking and the toxicity ranking are the same, wherein γ <0 indicates that the mass ranking is higher than the toxicity, and γ >0 indicates that the toxicity ranking is higher.
Preferably, in 4.1 and 4.2 of the step (4), the calculating step of the deviation value checking method is to calculate the human toxicity deviation value and the ecotoxicity deviation value by means of formula 4 according to the calculation results of the steps 3.1 and 3.2:
wherein x isjRanking the discharge amount; y is1jRanking the human toxicity; y is2jAn ecotoxicity ranking; n is the number of ranks.
Due to the adoption of the technical scheme, the method has the following beneficial effects:
the invention aims at the problem of serious environmental load in the production and manufacturing process of textile industry, the pollutant environmental load is sequenced by comprehensively using a quantitative analysis method and a toxicity analysis method, sequencing results are compared by using a Spearman correlation coefficient method and a deviation value method, and a reasonable screening method for priority control pollutants in textile industry is provided, aiming at obtaining relatively objective and scientific priority control pollutants through comprehensive analysis so as to reduce the human body toxic environmental load and the ecological toxic environmental load brought by the production and processing of textile industry.
Drawings
The invention will be further described with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of a production process and a contamination node;
Detailed Description
A textile industry priority control pollutant screening method comprises the following steps:
1. defining a pollutant quantitative analysis method and constructing a pollutant emission list;
cleaning the production process to be checked and the pollution discharge node, and making a list of the pollutant discharge amount of the chemical according to the production process and the pollution discharge node.
The pollutant quantitative analysis method is based on the management and control of the mass of heavy metal pollutants, generally considers less relative toxicity of the heavy metal pollutants and is used for representing the mass of the pollutants discharged by production units within a certain time and a certain space volume.
2. Defining a pollutant toxicity analysis method and constructing an accounting model thereof:
2.1, using a USEtox model as a database, searching human toxicity characteristic factors and ecological toxicity characteristic factors corresponding to pollutants discharged by unit products, and constructing a toxicity characteristic factor list;
2.2, checking ChF for the human toxicity and the eco-toxic environmental load of the pollutant, and checking ChF for the human toxicity and the eco-toxic environmental load of the pollutant with the formula 1:
wherein ChF refers to human toxicity and ecological toxicity of pollutants, and the unit is cases or PAF m3Day; f is a conversion correction coefficient of the characteristic factor of the USEtox model and the chemical footprint characteristic factor, the value is 290, and the USEtox model is dimensionless; CF (compact flash)iA toxicity characterizing factor for contaminant i that is discharged into an environmental medium; eiThe mass of the pollutant i discharged into the environment medium is kg; n is the type of the environmental medium.
3. The method for detecting the consistency of quantitative analysis and toxicity analysis sequencing by using a Spearman correlation coefficient method comprises the following specific steps:
the Spearman correlation coefficient (p) was used to correlate expression quantification and toxicity analysis. The value range of rho is { -1,1 }. Rho & gt 0 is positive correlation, and rho & lt 0 is negative correlation. ρ -1 is a complete positive correlation and ρ -1 is a complete negative correlation. As ρ is closer to 1, it means that the degree of correlation between the quantitative analysis method and the toxicity analysis method is higher; the closer ρ is to 0, the lower the correlation between the quantitative analysis method and the toxicity analysis method. Generally, the correlation degree is higher when | rho | is more than 0.8;
3.1, setting a pollutant discharge ranking table by taking the pollutant discharge quality as a ranking index;
3.2, respectively establishing a human toxicity ranking table and an ecological toxicity ranking table by taking the toxicity of the pollutants as ranking indexes;
3.3, respectively calculating the Spearman correlation coefficients of the mass, the human toxicity and the ecological toxicity, and calculating the Spearman correlation coefficients by adopting formulas 2 and 3:
dij＝xj-yij(i＝1，2；j＝1，2，3，4，5)
-formula 2
Wherein x isjRanking the discharge amount; y is1jRanking human toxicity, y2jAn ecotoxicity ranking; d1jRank difference between discharge and human toxicity, d2jRank difference between emissions and ecotoxicity; diRanking the difference between emissions and human toxicity or ecotoxicity; rho is a Spearman correlation coefficient; n is the number of ranks.
4. A deviation value inspection method is applied to further identify the pollutant 3-class ranking difference of the textile industry priority control pollutant screening method, and the specific steps are as follows:
the deviation value (γ) is { -1,1}, and γ → 0 indicates that the mass-based ranking and toxicity ranking are consistent, and if γ <0, mass ranking is more superior than toxicity, and if γ >0, toxicity ranking is more superior.
4.1, calculating a human toxicity deviation value by taking the pollutant emission quality ranking and the human toxicity ranking as comparison objects;
4.2, accounting the ecotoxicity deviation value by taking the pollutant emission quality ranking and the ecotoxicity ranking as comparison objects;
calculating the human toxicity deviation value and the ecotoxicity deviation value by means of formula 4 according to the calculation results of the steps 3.1 and 3.2:
wherein x isjRanking the discharge amount; y is1jRanking the human toxicity; y is2jAn ecotoxicity ranking; n is the number of ranks.
The invention is further illustrated by the following specific examples:
a certain printing and dyeing enterprise is used as a priority pollutant control screening research object, heavy metal, phthalate, brominated and chlorinated flame retardant, carcinogenic aromatic amine and chlorine-containing chemicals are used as research index sets in the selection of pollutant types, and the environmental load difference of different evaluation indexes is displayed.
The major production cases of this company: the product mainly takes high-grade cotton and linen dyed and printed garment materials as main raw materials, cotton and linen grey cloth is taken as a main raw material, reactive dye, coating dye, liquid caustic soda and auxiliary agents are taken as auxiliary materials, and the yield is 7000 kilometers per year. The production process mainly comprises three procedures of pretreatment, dyeing or printing and after-finishing. The pretreatment comprises blank sorting, singeing, desizing and mercerizing; and after finishing, dividing into product shaping, finished product preshrinking, finished product inspection and packaging. In detail, see figure 1 for production process and pollution discharge node.
Step 1
1.1 FIG. 1 shows the production process and the pollution discharge node of the enterprise, from which a unit product pollutant discharge list is established in kg.
Step 2
2.1, using a USEtox model as a database to search human toxicity characteristic factors corresponding to pollutants, wherein the unit is cases/kg and the unit is ecological toxicity characteristic factor, and the unit is PAF.m3Day/kg, constructing a toxicity characterization factor list;
2.2, the human toxicity and the ecological toxicity environmental load of the pollutants are calculated by the formula 1 ChF, the results of the human toxicity calculation of the organic matters are shown in table 1, the results of the ecological toxicity calculation of the organic matters are shown in table 2, the results of the human toxicity calculation of the heavy metals are shown in table 3, and the results of the ecological toxicity calculation of the heavy metals are shown in table 4.
TABLE 1 organic matter toxicity to human body
TABLE 2 ecotoxicity of organic substances
TABLE 3 heavy metal toxicity in humans
TABLE 4 heavy metal ecotoxicity
Step 3
3.1, sequencing the pollutant discharge amount by taking the pollutant discharge quality as a sequencing index;
3.2, sequencing the human toxicity and the ecological toxicity of the organic matters and the heavy metals respectively by taking the toxicity of the pollutants as a sequencing index;
3.3, respectively calculating the Spearman correlation coefficients of the mass, the human toxicity and the ecological toxicity, and calculating the Spearman correlation coefficients by adopting formulas 2 and 3:
dij＝xj-yij(i＝1，2；j＝1，2，3，4，5)
-formula 2
The results are shown in Table 5:
TABLE 5 Spearman correlation coefficient
Step 4
4.1, calculating a human toxicity deviation value by taking the pollutant emission quality ranking and the human toxicity ranking as comparison objects;
4.2, accounting the ecotoxicity deviation value by taking the pollutant emission quality ranking and the ecotoxicity ranking as comparison objects;
calculating the human body toxicity deviation value and the ecological toxicity deviation value by means of a formula 4 according to the calculation results of the steps 3.1 and 3.2, wherein the results of the human body toxicity deviation values of the organic matters are shown in a table 6, the results of the ecological toxicity deviation values of the organic matters are shown in a table 7, the results of the human body toxicity deviation values of the heavy metals are shown in a table 8, and the results of the ecological toxicity deviation values of the heavy metals are shown in a table 9:
TABLE 6 deviation of toxicity of organic substances in human body
TABLE 7 deviation of ecotoxicity of organic substances
TABLE 8 deviation of human toxicity of heavy metals
TABLE 9 deviation of ecotoxicity of heavy metals
By way of example calculations, it can be seen that the results of the study show that: the environmental load ranking results based on the pollutant quality index and the toxicity index are not consistent; organic matters and heavy metals have low-emission and high-toxicity pollutants, wherein the organic matters of tetrachlorobenzene, pentachlorobenzene, hexachlorobenzene, benzidine and o-amino azotoluene can cause large toxic environmental load of human bodies, and the pentachlorobenzene, hexachlorobenzene, pentachlorophenol, 2, 4, 5-trichlorophenol and 2, 4-dichlorophenol can cause large ecological toxic environmental load; the heavy metals zinc and hexavalent chromium can cause a large toxic environmental load on the human body, and copper and zinc can cause a large toxic environmental load on the ecology. The 11-class pollutants should be focused and managed preferentially to mitigate the environmental impact of the textile industry of the enterprise.
The above is only a specific embodiment of the present invention, but the technical features of the present invention are not limited thereto. Any simple changes, equivalent substitutions or modifications made on the basis of the present invention to solve the same technical problems and achieve the same technical effects are all covered in the protection scope of the present invention.
Claims (6)
1. A textile industry priority management and control pollutant screening method is characterized by comprising the following steps:
(1) defining a pollutant quantitative analysis method and constructing a pollutant emission data table;
(2) defining a pollutant toxicity analysis method and constructing an accounting model thereof:
2.1, taking a USEtox model as a database basis, searching human toxicity characteristic factors and ecological toxicity characteristic factors corresponding to the pollutants, and constructing a toxicity characteristic factor list;
2.2, calculating the human toxicity and the ecological toxicity environmental load of pollutants ChF;
(3) the method for detecting the consistency of quantitative analysis and toxicity analysis sequencing by using a Spearman correlation coefficient method comprises the following specific steps:
3.1, setting a pollutant discharge ranking table by taking the pollutant discharge quality as a ranking index;
3.2, respectively establishing a human toxicity ranking table and an ecological toxicity ranking table by taking the toxicity of the pollutants as ranking indexes;
3.3, carrying out quantitative analysis and toxicity analysis correlation degree test by using a Spearman correlation coefficient method;
the Spearman correlation coefficient is calculated by adopting an equation 2 and an equation 3:
dij＝xj-yij(i-1, 2; j-1, 2,3,4,5) -formula 2
Wherein x isjRanking the discharge amount; y is1jRanking human toxicity, y2jAn ecotoxicity ranking; d1jRank difference between discharge and human toxicity, d2jRank difference between emissions and ecotoxicity; diRanking the difference between emissions and human toxicity or ecotoxicity; rho is a correlation coefficient; n is the number of ranks;
(4) and further identifying the ranking difference of the 3 types of pollutants by using a deviation value inspection method, which comprises the following specific steps:
4.1, calculating a human toxicity deviation value by taking the pollutant emission quality ranking and the human toxicity ranking as comparison objects;
and 4.2, accounting the ecotoxicity deviation value by taking the pollutant emission quality ranking and the ecotoxicity ranking as comparison objects.
2. The textile industry priority management and control pollutant screening method according to claim 1, characterized in that: in the step (1), the production process and the pollution discharge node of the chemical to be calculated are cleaned, and then the list of the pollutant discharge amount of the chemical is made according to the production process and the pollution discharge node.
3. The textile industry priority management and control pollutant screening method according to claim 1, characterized in that: in 2.2 of the step (2), the human toxicity and the eco-toxicity environmental load of the pollutant are calculated ChF by adopting a formula 1:
wherein ChF refers to human toxicity and ecological toxicity of pollutants, and the unit is cases or PAF m3Day; f is a conversion correction coefficient of the characteristic factor of the USEtox model and the chemical footprint characteristic factor, the value is 290, and the USEtox model is dimensionless; CF (compact flash)iA toxicity characterizing factor for contaminant i that is discharged into an environmental medium; eiThe mass of the pollutant i discharged into the environment medium is kg; n is the type of the environmental medium.
4. The textile industry priority management and control pollutant screening method according to claim 1, characterized in that: the Spearman correlation coefficient rho is used for expressing the correlation degree of a quantitative analysis method and a toxicity analysis method, the value range of rho is { -1,1}, rho >0 is positive correlation, rho <0 is negative correlation, rho ═ 1 is complete positive correlation, rho ═ 1 is complete negative correlation, and when rho is closer to 1, the correlation degree between the quantitative analysis method and the toxicity analysis method is higher; the closer ρ is to 0, the lower the degree of correlation between the quantitative analysis method and the toxicity analysis method, and the higher the degree of correlation is considered to be | ρ | > 0.8.
5. The textile industry priority management and control pollutant screening method according to claim 1, characterized in that: in the step (4), the deviation value γ is { -1,1}, and γ → 0 indicates that the mass-based ranking and the toxicity ranking are consistent, and if γ <0, it indicates that the mass ranking is earlier than the toxicity, and if γ >0, it indicates that the toxicity ranking is further earlier.
6. The textile industry priority management and control pollutant screening method according to claim 1, characterized in that: in 4.1 and 4.2 of the step (4), the calculation step of the deviation value test method is to calculate the human toxicity deviation value and the ecological toxicity deviation value by means of formula 4 according to the calculation results of the steps 3.1 and 3.2:
wherein x isjRanking the discharge amount; y is1jRanking the human toxicity; y is2jAn ecotoxicity ranking; n is the number of ranks.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811316450.6A CN109584972B (en) | 2018-11-07 | 2018-11-07 | Textile industry priority control pollutant screening method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811316450.6A CN109584972B (en) | 2018-11-07 | 2018-11-07 | Textile industry priority control pollutant screening method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109584972A CN109584972A (en) | 2019-04-05 |
| CN109584972B true CN109584972B (en) | 2021-10-22 |
Family
ID=65921660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811316450.6A Active CN109584972B (en) | 2018-11-07 | 2018-11-07 | Textile industry priority control pollutant screening method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109584972B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111582758B (en) * | 2020-05-22 | 2023-12-29 | 生态环境部南京环境科学研究所 | Chemical substance environmental emission assessment method in textile printing and dyeing industry |
| CN112198275A (en) * | 2020-08-18 | 2021-01-08 | 浙江理工大学 | Textile and clothing product grey water footprint accounting and evaluating method based on dilution influence |
| CN112927113A (en) * | 2020-11-30 | 2021-06-08 | 生态环境部固体废物与化学品管理技术中心 | Method for screening toxic and harmful atmospheric pollutants of Jingjin Ji |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102539368A (en) * | 2012-01-16 | 2012-07-04 | 浙江理工大学 | Spectrum detection method for alkylphenol compounds in textile auxiliaries |
| CN102880800A (en) * | 2012-09-25 | 2013-01-16 | 常州大学 | Regional soil environment priority control pollutant screening method based on health risk |
| CN106501474A (en) * | 2016-11-01 | 2017-03-15 | 南京信息工程大学 | Microcosm cycle biological is measured calculates pollutant ecotoxicity effect threshold concentration method |
| CA3008989A1 (en) * | 2016-03-21 | 2017-09-28 | Azure Vault Ltd. | Sample mixing control |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| SE523461C2 (en) * | 2001-08-28 | 2004-04-20 | Phase In Ab | Device for quantitative analysis of respiratory gases using a fuel cell and a bacterial filter |
-
2018
- 2018-11-07 CN CN201811316450.6A patent/CN109584972B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102539368A (en) * | 2012-01-16 | 2012-07-04 | 浙江理工大学 | Spectrum detection method for alkylphenol compounds in textile auxiliaries |
| CN102880800A (en) * | 2012-09-25 | 2013-01-16 | 常州大学 | Regional soil environment priority control pollutant screening method based on health risk |
| CA3008989A1 (en) * | 2016-03-21 | 2017-09-28 | Azure Vault Ltd. | Sample mixing control |
| CN106501474A (en) * | 2016-11-01 | 2017-03-15 | 南京信息工程大学 | Microcosm cycle biological is measured calculates pollutant ecotoxicity effect threshold concentration method |
Non-Patent Citations (2)
| Title |
|---|
| Development and integration of screen printed transducers for the detection of pollutants in aquatic environments;David Lapeine et al.;《2016 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP)》;20160718;第1-5页 * |
| 化学品足迹:概念、研究进展及挑战;杜翠红 等;《生态毒理学报》;20160430;第18-26页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109584972A (en) | 2019-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109584972B (en) | Textile industry priority control pollutant screening method | |
| Chen et al. | A process-level water conservation and pollution control performance evaluation tool of cleaner production technology in textile industry | |
| Roy Choudhury | Environmental impacts of the textile industry and its assessment through life cycle assessment | |
| Savin et al. | Wastewater characteristics in textile finishing mills. | |
| Srebrenkoska et al. | Methods for waste waters treatment in textile industry | |
| Chu et al. | Dynamic flow and pollution of antimony from polyethylene terephthalate (PET) fibers in China | |
| Mishra et al. | Detection, characterization and possible biofragmentation of synthetic microfibers released from domestic laundering wastewater as an emerging source of marine pollution | |
| Shiwanthi et al. | Evaluation of the environmental and economic performances of three selected textile factories in Biyagama Export Processing Zone Sri Lanka | |
| Weule | Life-cycle analysis–a strategic element for future products and manufacturing technologies | |
| Butarewicz et al. | Toxicity of sewage from industrial wastewater tratment plants | |
| Lindahl et al. | Industrial cleaning with Qlean Water–a case study of printed circuit boards | |
| Alcamisi et al. | Process integration solutions for water networks in integrated steel making plants | |
| Beltrán-Heredia et al. | Multiparameter quantitative optimization in the synthesis of a novel coagulant derived from tannin extracts for water treatment | |
| Aguiar et al. | Use of life cycle assessment as a tool to evaluate the environmental impacts of textile effluents: a systematic review | |
| Choudhary et al. | Assessment of Environmental Impacts durin g Operational Phase of a Textile Industry | |
| CN104511451B (en) | The control method of the cleannes of consumptive material used by a kind of core main pump manufacture process and detection method thereof | |
| CN111554361B (en) | Heavy metal pollutant chemical footprint accounting method based on natural water environment | |
| CN112198275A (en) | Textile and clothing product grey water footprint accounting and evaluating method based on dilution influence | |
| Branca et al. | Paving the way for the optimization of water consumption in the steelmaking processes: Barriers, analysis and KPIs definition | |
| Wang et al. | The introduction of water footprint methodology into the textile industry | |
| CN104458602B (en) | A kind of High Mineralized Oilfield Wastewater suspension rapid assay methods | |
| Aktar | Green Insights of Textile Industry in Bangladesh: A Case Study on Mozart Knitting Ltd. | |
| Kouacou et al. | Life cycle assessment of wastewater treatment in a refinery with focus on the desalting process | |
| ŞİMŞEK et al. | Artificial neural network approach for the prediction of effluents streams from a wastewater treatment plant: a case study in Kocaeli (Turkey) | |
| Freeman | Hazardous waste minimization: a strategy for environmental improvement |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20190405 Assignee: Wei long long quilt Co.,Ltd. Assignor: ZHEJIANG SCI-TECH University Contract record no.: X2022330000461 Denomination of invention: A screening method for priority control pollutants in textile industry Granted publication date: 20211022 License type: Common License Record date: 20220825 |