CN108733985A - A kind of method of the determining critical environments parameter for restricting microalgae arsenic accumulation capability - Google Patents
A kind of method of the determining critical environments parameter for restricting microalgae arsenic accumulation capability Download PDFInfo
- Publication number
- CN108733985A CN108733985A CN201810583438.5A CN201810583438A CN108733985A CN 108733985 A CN108733985 A CN 108733985A CN 201810583438 A CN201810583438 A CN 201810583438A CN 108733985 A CN108733985 A CN 108733985A
- Authority
- CN
- China
- Prior art keywords
- arsenic
- microalgae
- parameter
- accumulation capability
- restricting
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2219/00—Indexing scheme relating to application aspects of data processing equipment or methods
- G06F2219/10—Environmental application, e.g. waste reduction, pollution control, compliance with environmental legislation
Landscapes
- Micro-Organisms Or Cultivation Processes Thereof (AREA)
Abstract
The present invention relates to a kind of methods of the determining critical environments parameter for restricting microalgae arsenic accumulation capability, it may include following steps:S1. environmental parameter related with microalgae arsenic accumulation capability is obtained;S2. the environmental parameter acquired in S1 carries out field mouthful (Taguchi) experimental design;S3. it is tested and is analyzed according to the experimental design that S2 is obtained and calculate test result acquisition microalgae arsenic accumulation capability parameter;S4. the statistics calculating of signal-to-noise ratio S/N, variance analysis, factor percentage contribution degree PC are carried out according to the microalgae arsenic accumulation capability parameter that S3 is obtained, and then determine the critical environments parameter for restricting microalgae arsenic accumulation capability.The present invention can be determined efficiently to restrict the critical environments parameter of microalgae arsenic accumulation capability, be conducive to the reparation of arsenic in water environment pollution, can provide reliable data foundation for arsenic polluted water body reparation and maintenance.
Description
Technical field
The invention belongs to field for the treatment of of water pollution, more particularly to a kind of determining crucial ring for restricting microalgae arsenic accumulation capability
The method of border parameter.
Background technology
The arsenic (As) being prevalent in environment is the pollutant that a kind of migration is strong, toxicity is high, and concerned degree is high.Change
The industries such as work, metal smelt, semiconductor, cultivation and plating have discharged a large amount of arsenic-containing waste waters into environment in process of production.It is right
Restorative procedure in the water source containing arsenic pollution has chemical ion exchange process, solvent extraction, chelation, membrane filtration, reduction method, sinks
Shallow lake effect etc., but the universal operating cost of these methods is high, business efficiency is low, for handle relatively low solubility containing arsenic polluted water body
Effect unobvious, it is difficult to input actual use, and it is also easy to produce sediment and toxic compounds cause secondary pollution.How efficiently to pass through
The processing of Ji ground becomes one of the major issue in water environment field containing arsenic polluted water body.
Microalgae is distributed widely in natural environment, has the characteristics that type is more, quantity is big.Microalgae is repaiied as common biology
Multiple agent, not only can be used to remove the heavy metal in water environment, it might even be possible to for handling the metal in recycling water body, have height
The advantages that effect, low consumption, environmental protection, when reparation for carrying out arsenic polluted water body, have the advantage that:(1) raw material sources are abundant, growth speed
Degree is fast, cheap and easy to get;(2) high absorption, absorption enrichment occur simultaneously, and removal rate is high;(3) it has good selectivity;
(4) arsenic that absorption absorbs is easy to elution discharge, is conducive to the recycling of metal;(5) secondary pollution is not generated;(6) to environmental suitability
Extensively, application range is big.
The environmental parameter variation of natural environment arsenic polluted water body is various, has larger restriction shadow to microalgae arsenic accumulation capability
It rings.It can improve microalgae by building suitable environmental parameter and promote the accumulation capability of arsenic the removal capacity to arsenic, in turn
Improve biological prosthetic ability of the microalgae to arsenic polluted water body.Therefore, the critical environments for restricting microalgae arsenic accumulation capability how to be determined
Parameter becomes important and studies a question.
Invention content
The object of the present invention is to provide a kind of sides of the efficient determining critical environments parameter for restricting microalgae arsenic accumulation capability
Method.For this purpose, the specific technical solution that the present invention uses is as follows:
A kind of method of the determining critical environments parameter for restricting microalgae arsenic accumulation capability, it may include following steps:
S1. environmental parameter related with microalgae arsenic accumulation capability is obtained;
S2. the environmental parameter acquired in S1 carries out field mouthful (Taguchi) experimental design;
S3. it is tested and is analyzed according to the experimental design that S2 is obtained and calculate test result acquisition microalgae arsenic accumulation capability ginseng
Number;
S4. signal-to-noise ratio S/N, variance analysis, factor percentage tribute are carried out according to the microalgae arsenic accumulation capability parameter that S3 is obtained
The statistics of degree of offering PC calculates, and then determines the critical environments parameter for restricting microalgae arsenic accumulation capability.
Further, the field mouthful experimental design is specifically, according to environmental parameter, to determine the Different Effects water of environmental parameter
It is flat, the design of experimental condition is carried out using the orthogonal array in field mouthful.
Further, the orthogonal array in the field mouthful is that four factor three is horizontal, wherein four factors be nitrate nitrogen, phosphate,
Four environmental parameters of pentavalent arsenic and pH value, three horizontal high-level, the middle horizontal and low-levels for environmental parameter.
Further, the S3 specifically includes the following steps:
S31. the training method for suitable culture medium being used to suspend to microalgae according to the experimental condition of design, in intensity of illumination
30μmol m-2s-1, 20 ± 3 DEG C of temperature, Light To Dark Ratio 16:96h is cultivated under the conditions of 8;
S32. the accumulation in frond of growth rate μ, arsenic of microalgae cell density OD, microalgae under experiment condition of culture are collected
The dynamic changing data of the content As (water) of total amount As (algae) and arsenic in water;
S33. microalgae arsenic accumulation capability parameter is calculated according to the collected data, wherein microalgae arsenic accumulation capability
Parameter includes algae maximum growth rate μmax, frond arsenic accumulation total amount, arsenic absorption rate KuWith rate of release Ke, arsenic bioaccumulation
Coefficient B CF, wherein μmax=Ln (OD)/t, KuAnd KeAccording to formulaIt obtains, arsenic life
Object accumulation factor BCF=Ku/Ke。
Further, the S4 specifically includes the following steps:
S41. signal-to-noise ratio S/N is calculated, S/N=-10 × log (∑snyi 2/ n), i=1 ..., n, wherein n are identical test item
The quantity of replication, y under partiFor the inverse of measured value;
S42. variance analysis calculates SST、SSF、VEr, DOF, wherein SSTFor inequality quadratic sum, SSFFor factor quadratic sum, VEr
For error variance, DOF is degree of freedom;
S43. factor percentage contribution degree PC is calculated, PC=(SSF-(DOF×VEr))/SST×100;
S44. according to signal-to-noise ratio computation as a result, the maximum signal to noise ratio of the corresponding parameter of analysis, restricts to obtain suitable environment
Parameter;Further analytical factor percentage contribution degree, is ranked up suitable environment parameter, so that it is determined that restricting the accumulation of microalgae arsenic
The critical environments parameter of ability.
Further, the microalgae be one or both of microcystic aeruginosa, scenedesmus obliquus, the raw quasi- Nannochloropsis oculata in sea with
On.
The present invention uses above-mentioned technical proposal, has an advantageous effect in that:The present invention can efficiently determine to restrict microalgae
The critical environments parameter of arsenic accumulation capability, be conducive to arsenic in water environment pollution reparation, can be arsenic polluted water body reparation and
It safeguards and reliable data foundation is provided.
Description of the drawings
Fig. 1 is the overview flow chart of the method for the present invention;
Fig. 2 shows the signal-to-noise ratio S/N of the microalgae maximum specific growth rate under the influence of varying environment parameter;
Fig. 3 (a) shows the arsenic absorption rate k under the influence of varying environment parameteruSignal-to-noise ratio S/N;
Fig. 3 (b) shows the arsenic rate of release K under the influence of varying environment parametereSignal-to-noise ratio S/N;
Fig. 3 (c) shows the signal-to-noise ratio S/N of the arsenic bioaccumulation coefficient B CF under the influence of varying environment parameter.
Specific implementation mode
To further illustrate that each embodiment, the present invention are provided with attached drawing.These attached drawings are that the invention discloses one of content
Point, mainly to illustrate embodiment, and the associated description of specification can be coordinated to explain the operation principles of embodiment.Cooperation ginseng
These contents are examined, those of ordinary skill in the art will be understood that other possible embodiments and advantages of the present invention.
In conjunction with the drawings and specific embodiments, the present invention is further described.
Fig. 1 is the overview flow chart of the method for the critical environments parameter that the present invention customizes about microalgae arsenic accumulation capability really.
As shown in Figure 1, this approach includes the following steps:
S1. environmental parameter related with microalgae arsenic accumulation capability is obtained.
Here microalgae refers to absorbing the higher algae of accumulation ability, such as microcystic aeruginosa, scenedesmus obliquus or sea to arsenic
One or more of raw quasi- Nannochloropsis oculata etc..That is, microalgae can be single variety, can also be the group of several kinds
It closes.It is illustrated by taking microcystic aeruginosa as an example below.By Literature Consult, obtain related with microcystic aeruginosa arsenic accumulation capability
Environmental parameter, including nitrate nitrogen (NO3 —N, N), phosphate (PO4 3—P, P), pentavalent arsenic (AsV) and pH etc..
S2. the environmental parameter acquired in S1 carries out field mouthful (Taguchi) experimental design.
In this step, according to environmental parameter (nitrate nitrogen (NO3 —N, N), phosphate (PO4 3—P, P), pentavalent arsenic (AsV) and
PH), the high, medium and low three Different Effects levels (as shown in table 1) for determining selection parameter utilize field mouthful (Taguchi) orthogonal function
Group carries out the horizontal experimental condition design of four factor three.Experimental condition is as shown in table 2 below.
The corresponding test level of the 1 environmental parameter factor of table
The experimental design of the orthogonal array of the 2 environmental parameter factor of table
S3. it is tested and is analyzed according to the experimental design that S2 is obtained and calculate test result acquisition microalgae arsenic accumulation capability ginseng
Number.Specifically, S3 includes the following steps:
S31. the orthogonal array experimental condition according to design is to microcystic aeruginosa, the training for using BG-11 culture mediums to suspend
The mode of supporting, in 30 μm of ol m of intensity of illumination-2s-1, 20 ± 3 DEG C of temperature, Light To Dark Ratio 16:96h is cultivated under the conditions of 8.It is noted that
Above-mentioned training method is merely exemplary, and is not limitation of the present invention.
S32. the algae density (OD) of spectrophotometric determination microcystic aeruginosa is used, and then collects copper under experiment condition of culture
The growth rate of green Microcystis aeruginosa, while arsenic is collected in the tired of microcystic aeruginosa using inductivity coupled plasma mass spectrometry (ICP-MS)
Product total amount (As (algae), μ g/g), the dynamic changing data of content (AS (water), μ g/L) in water.
S33. to the selection microalgae arsenic accumulation capability parameter:Algae maximum growth rate μmax, frond arsenic accumulation total amount, arsenic
Absorption rate KuWith rate of release Ke, arsenic bioaccumulation coefficient B CF, wherein μmax=Ln (OD)/t, KuAnd KeAccording to formulaIt obtains, arsenic bioaccumulation coefficient B CF=Ku/Ke.Specifically, KuAnd KeBy multiple
Data point is obtained through iterative calculation.
S4. signal-to-noise ratio S/N, variance analysis, factor percentage tribute are carried out according to the microalgae arsenic accumulation capability parameter that S3 is obtained
The statistics of degree of offering PC calculates, and then determines the critical environments parameter for restricting microalgae arsenic accumulation capability.Specifically, S3 includes following step
Suddenly:
S41. signal-to-noise ratio computation, S/N=-10 × log (∑snyi 2/ n), i=1 ..., n, wherein n are under same test conditions
The quantity of replication, yiFor the inverse of measured value.Shown in result of calculation such as Fig. 2,3 (a) -3 (b).It should be noted that Fig. 2,3
(a) N, P, As in -3 (b) are nitrate nitrogen (NO respectively3 —N, N), phosphate (PO4 3—P, P), pentavalent arsenic (AsV) simplification table
Show.
S42. variance analysis calculates SST、SSF、VEr,DOF.Wherein, SSTFor inequality quadratic sum;SSFFor factor quadratic sum;VEr
For error variance;DOF is degree of freedom.
S43. factor percentage contribution degree (PC) is by formula PC=(SSF-(DOF×VEr))/SST× 100 are calculated, meter
It is as shown in Table 3, 4 to calculate result.
The varying environment factor (N, P, pH, As under 3. variance analysis of tableV) to maximum specific growth rate (μmax) percentage contribution
It spends (PC)
Note:Type III SS are type-iii quadratic sum;MS is square;P is probability;F is statistic.
The varying environment factor (N, P, pH, As under 4. variance analysis of tableV) to arsenic absorption rate ku, arsenic rate of release keWith arsenic
The percentage contribution degree (PC) of bioaccumulation coefficient B CF
Note:Type III SS are type-iii quadratic sum;MS is square;P is probability;F is statistic.
S44. according to signal-to-noise ratio computation as a result, the maximum signal to noise ratio of the corresponding parameter of analysis, restricts to obtain suitable environment
Parameter;Further analytical factor percentage contribution degree, is ranked up suitable environment parameter, so that it is determined that restricting the accumulation of microalgae arsenic
The critical environments parameter of ability.It is ranked up, sends out according to maximum signal to noise ratio result of calculation and larger factor percentage contribution degree
Existing phosphorus is the most critical factor for restricting microcystic aeruginosa arsenic accumulation capability.Nitrogen is that Growth of Microcystis aeruginosa, microcystic aeruginosa arsenic are released
An important factor for putting rate.Pentavalent arsenic (AsV) very little is influenced on algal grown.Thus, high-caliber nitrogen under alkaline condition, low dense
The phosphorus of degree is conducive to accumulation of the arsenic in microcystic aeruginosa, and reduces the release of arsenic, is that microcystic aeruginosa is used for pentavalent arsenic pollution
The optimum condition of reparation.
Therefore, according to the ... of the embodiment of the present invention based on a kind of determining critical environments parameter for restricting microalgae arsenic accumulation capability
Method is conducive to by the critical environments parameter for the restriction microalgae arsenic accumulation capability determined in above-described embodiment in water environment
The reparation of arsenic pollution can provide reliable data foundation for arsenic polluted water body reparation and maintenance.
Although specifically showing and describing the present invention in conjunction with preferred embodiment, those skilled in the art should be bright
In vain, it is not departing from the spirit and scope of the present invention defined by the appended claims, it in the form and details can be right
The present invention makes a variety of changes, and is protection scope of the present invention.
Claims (6)
1. a kind of method of the determining critical environments parameter for restricting microalgae arsenic accumulation capability, which is characterized in that include the following steps:
S1. environmental parameter related with microalgae arsenic accumulation capability is obtained;
S2. the environmental parameter acquired in S1 carries out field mouthful (Taguchi) experimental design;
S3. it is tested and is analyzed according to the experimental design that S2 is obtained and calculate test result acquisition microalgae arsenic accumulation capability parameter;
S4. signal-to-noise ratio S/N, variance analysis, factor percentage contribution degree are carried out according to the microalgae arsenic accumulation capability parameter that S3 is obtained
The statistics of PC calculates, and then determines the critical environments parameter for restricting microalgae arsenic accumulation capability.
2. the method as described in claim 1 for determining the critical environments parameter for restricting microalgae arsenic accumulation capability, which is characterized in that
The field mouthful experimental design is specifically, and according to environmental parameter, determines that the Different Effects of environmental parameter are horizontal, utilizes field mouthful orthogonal function
Group carries out the design of experimental condition.
3. the method as claimed in claim 2 for determining the critical environments parameter for restricting microalgae arsenic accumulation capability, which is characterized in that
The orthogonal array in the field mouthful is that four factor three is horizontal, wherein four factors are tetra- nitrate nitrogen, phosphate, pentavalent arsenic and pH environment ginsengs
Number, three horizontal high-level, the middle horizontal and low-levels for environmental parameter.
4. the method as described in claim 1 for determining the critical environments parameter for restricting microalgae arsenic accumulation capability, which is characterized in that
The S3 specifically includes the following steps:
S31. the training method for suitable culture medium being used to suspend to microalgae according to the experimental condition of design, in 30 μ of intensity of illumination
mol m-2s-1, 20 ± 3 DEG C of temperature, Light To Dark Ratio 16:96h is cultivated under the conditions of 8;
S32. the accumulation total amount of microalgae cell density OD, the growth rate μ of microalgae, arsenic in frond under experiment condition of culture is collected
The dynamic changing data of the content As (water) of As (algae) and arsenic in water;
S33. microalgae arsenic accumulation capability parameter is calculated according to the collected data, wherein microalgae arsenic accumulation capability parameter
Including algae maximum growth rate μmax, frond arsenic accumulation total amount As (algae), arsenic absorption rate KuWith rate of release Ke, arsenic biology it is tired
Product coefficient B CF, wherein μmax=Ln (OD)/t, KuAnd KeAccording to formulaIt obtains, arsenic
Bioaccumulation coefficient B CF=Ku/Ke。
5. the method as claimed in claim 3 for determining the critical environments parameter for restricting microalgae arsenic accumulation capability, which is characterized in that
The S4 specifically includes the following steps:
S41. signal-to-noise ratio S/N is calculated, S/N=-10 × log (∑snyi 2/ n), i=1 ..., n, wherein n are under same test conditions
The quantity of replication, yiFor the inverse of measured value;
S42. variance analysis calculates SST、SSF、VEr, DOF, wherein SSTFor inequality quadratic sum, SSFFor factor quadratic sum, VErFor accidentally
Poor variance, DOF are degree of freedom;
S43. factor percentage contribution degree PC is calculated, PC=(SSF-(DOF×VEr))/SST×100;
S44. according to signal-to-noise ratio computation as a result, the maximum signal to noise ratio of the corresponding parameter of analysis, parameter is restricted to obtain suitable environment;
Further analytical factor percentage contribution degree, is ranked up suitable environment parameter, so that it is determined that restricting microalgae arsenic accumulation capability
Critical environments parameter.
6. the method as described in claim 1 for determining the critical environments parameter for restricting microalgae arsenic accumulation capability, which is characterized in that
The microalgae is one or more of microcystic aeruginosa, scenedesmus obliquus, the raw quasi- Nannochloropsis oculata in sea.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810583438.5A CN108733985B (en) | 2018-06-08 | 2018-06-08 | Method for determining key environmental parameters for restricting arsenic accumulation capacity of microalgae |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810583438.5A CN108733985B (en) | 2018-06-08 | 2018-06-08 | Method for determining key environmental parameters for restricting arsenic accumulation capacity of microalgae |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108733985A true CN108733985A (en) | 2018-11-02 |
CN108733985B CN108733985B (en) | 2021-06-25 |
Family
ID=63932395
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810583438.5A Active CN108733985B (en) | 2018-06-08 | 2018-06-08 | Method for determining key environmental parameters for restricting arsenic accumulation capacity of microalgae |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108733985B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113603301A (en) * | 2021-08-17 | 2021-11-05 | 中国科学院城市环境研究所 | Device and method for treating low-concentration arsenic-containing wastewater by using microalgae |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101423278A (en) * | 2008-11-24 | 2009-05-06 | 中国科学院生态环境研究中心 | Multiple element composite metal oxidate arsenic removal settling agent and use method thereof |
CN102912000A (en) * | 2012-11-07 | 2013-02-06 | 中国科学院地球化学研究所 | Method for biologically dissolving limestone by quantitative microalgae |
US20130205850A1 (en) * | 2012-02-13 | 2013-08-15 | Heliae Development Llc | Microalgae as a mineral vehicle in aquafeeds |
CN104370324A (en) * | 2014-03-25 | 2015-02-25 | 中国科学院海洋研究所 | Method for adsorbing heavy metal ions in environment by utilizing macroalgae |
-
2018
- 2018-06-08 CN CN201810583438.5A patent/CN108733985B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101423278A (en) * | 2008-11-24 | 2009-05-06 | 中国科学院生态环境研究中心 | Multiple element composite metal oxidate arsenic removal settling agent and use method thereof |
US20130205850A1 (en) * | 2012-02-13 | 2013-08-15 | Heliae Development Llc | Microalgae as a mineral vehicle in aquafeeds |
CN102912000A (en) * | 2012-11-07 | 2013-02-06 | 中国科学院地球化学研究所 | Method for biologically dissolving limestone by quantitative microalgae |
CN103173520A (en) * | 2012-11-07 | 2013-06-26 | 中国科学院地球化学研究所 | Bioerosion action method of quantitative microalgae to limestone |
CN104370324A (en) * | 2014-03-25 | 2015-02-25 | 中国科学院海洋研究所 | Method for adsorbing heavy metal ions in environment by utilizing macroalgae |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113603301A (en) * | 2021-08-17 | 2021-11-05 | 中国科学院城市环境研究所 | Device and method for treating low-concentration arsenic-containing wastewater by using microalgae |
CN113603301B (en) * | 2021-08-17 | 2023-10-24 | 中国科学院城市环境研究所 | Device and method for treating low-concentration arsenic-containing wastewater by utilizing microalgae |
Also Published As
Publication number | Publication date |
---|---|
CN108733985B (en) | 2021-06-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhang et al. | Selection of optimal river water quality improvement programs using QUAL2K: A case study of Taihu Lake Basin, China | |
Yuan et al. | Spatial distribution and risk assessment of heavy metals in sediments from a hypertrophic plateau lake Dianchi, China | |
Su et al. | An enlarging ecological risk: review on co-occurrence and migration of microplastics and microplastic-carrying organic pollutants in natural and constructed wetlands | |
Rai et al. | Potential of cyanobacterial biofilms in phosphate removal and biomass production | |
Gonzalez-Camejo et al. | Continuous 3-year outdoor operation of a flat-panel membrane photobioreactor to treat effluent from an anaerobic membrane bioreactor | |
Miles et al. | Diel variation in microphytobenthic productivity in areas of different tidal amplitude | |
Rather et al. | Assessment of heavy metal contamination in two edible fish species Carassius carassius and Triplophysa kashmirensis of Dal Lake, Srinagar, Kashmir, India | |
Kim et al. | Optimizing cultivation strategies for robust algal growth and consequent removal of inorganic nutrients in pretreated livestock effluent | |
Zhao et al. | Diversity of soil microbial community identified by Biolog method and the associated soil characteristics on reclaimed Scirpus mariqueter wetlands | |
Mingchao et al. | Structural and fractal characteristics of biofilm attached on the surfaces of aquatic plants and gravels in the rivers and lakes reusing reclaimed wastewater | |
Liu et al. | Tracking the changes of wetland soil bacterial community and metabolic potentials under drought and flooding conditions in experimental microcosms | |
Alemu et al. | Removal of organic pollutants from municipal wastewater by applying high-rate algal pond in Addis Ababa, Ethiopia | |
CN109809627A (en) | A kind of ecological canal pool purification systems and purification method based on field water-break heavy metal | |
CN108733985A (en) | A kind of method of the determining critical environments parameter for restricting microalgae arsenic accumulation capability | |
CN104390920A (en) | Microplate analysis method for time toxicity of environmental pollutants on basis of chlorella pyrenoidosa | |
Sbihi et al. | Toxicity and biosorption of chromium from aqueous solutions by the diatom Planothidium lanceolatum (Brébisson) Lange-Bertalot | |
Muduli et al. | Remediation and characterization of emerging and environmental pollutants from residential wastewater using a nature-based system | |
CN109365524A (en) | A kind of biological renovation method of compound organic contamination | |
Sanchis-Perucho et al. | Microalgae population dynamics growth with AnMBR effluent: effect of light and phosphorus concentration | |
Khalid et al. | Looking at moss through the bioeconomy lens: biomonitoring, bioaccumulation, and bioenergy potential | |
Goldenberg et al. | Diatom response to the whole lake manipulation of a eutrophic urban impoundment | |
Liang et al. | Dynamic biofilm component in reclaimed water during rapid growth period | |
Ning et al. | Nitrogen and phosphate adsorption on biofilms in reclaimed water | |
Ma et al. | Study on the effect of periphyton on the water quality of eutrophic lakes | |
SABKIE et al. | Physico-chemical influence on the diversity of phytoplankton at Putrajaya Lake and Wetlands, Putrajaya, Malaysia. |
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 | ||
TR01 | Transfer of patent right |
Effective date of registration: 20230719 Address after: 215300 room 1202, science and Technology Plaza, East Qianjin Road, Kunshan Development Zone, Suzhou City, Jiangsu Province Patentee after: Zhongke Jiaci (Kunshan) Environmental Protection Technology Co.,Ltd. Address before: 361021 No. 1799, Jimei Avenue, Xiamen, Fujian Patentee before: INSTITUTE OF URBAN ENVIRONMENT, CHINESE ACADEMY OF SCIENCES |
|
TR01 | Transfer of patent right |