CN101303337A - Method for evaluating water nutrition state - Google Patents
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- CN101303337A CN101303337A CNA2008101163903A CN200810116390A CN101303337A CN 101303337 A CN101303337 A CN 101303337A CN A2008101163903 A CNA2008101163903 A CN A2008101163903A CN 200810116390 A CN200810116390 A CN 200810116390A CN 101303337 A CN101303337 A CN 101303337A
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- 238000000034 method Methods 0.000 title claims abstract description 51
- 235000016709 nutrition Nutrition 0.000 title claims abstract description 49
- 230000035764 nutrition Effects 0.000 title claims abstract description 49
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- 229930002868 chlorophyll a Natural products 0.000 claims description 34
- 238000011156 evaluation Methods 0.000 claims description 31
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- NSMUHPMZFPKNMZ-VBYMZDBQSA-M chlorophyll b Chemical compound C1([C@@H](C(=O)OC)C(=O)C2=C3C)=C2N2C3=CC(C(CC)=C3C=O)=[N+]4C3=CC3=C(C=C)C(C)=C5N3[Mg-2]42[N+]2=C1[C@@H](CCC(=O)OC\C=C(/C)CCC[C@H](C)CCC[C@H](C)CCCC(C)C)[C@H](C)C2=C5 NSMUHPMZFPKNMZ-VBYMZDBQSA-M 0.000 claims description 24
- 229930002869 chlorophyll b Natural products 0.000 claims description 23
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims description 20
- DGNIJJSSARBJSH-NLJAFYFLSA-L magnesium (E)-3-[(3R)-16-ethenyl-11-ethyl-3-methoxycarbonyl-12,17,21,26-tetramethyl-4-oxo-7,24-diaza-23,25-diazanidahexacyclo[18.2.1.15,8.110,13.115,18.02,6]hexacosa-1(22),2(6),5(26),7,9,11,13,15(24),16,18,20-undecaen-22-yl]prop-2-enoic acid Chemical compound [Mg++].CCc1c(C)c2cc3nc(cc4[n-]c(c(\C=C\C(O)=O)c4C)c4[C@@H](C(=O)OC)C(=O)c5c(C)c(cc1[n-]2)nc45)c(C)c3C=C DGNIJJSSARBJSH-NLJAFYFLSA-L 0.000 claims description 19
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Abstract
The invention provides an assessment method of water body nutrition status, which comprises the following steps: (1) water bodies samples to be tested are collected; (2) concentrations of algae chlorophylls a, b and c of the water body samples collected by step (1) are measured; (3) the ratio b/a between algae chlorophylls a and b measured by step (2) and the ratio c/a between algae chlorophylls a and c measured by step (2) are calculated; (4) the assessment of water body ecological restoration degree is carried out according to the characteristics of corresponding chlorophylls contained in common algae and the formation rule of algae populations in water bodies under different nutrition status. The assessment method of the invention can be widely applied to various water bodies, and has beneficial effects such as precision, convenience and being capable of making quantitative assessment of water body nutrition status and the like, compared with the prior art.
Description
Technical field
The present invention relates to a kind of water ecology evaluation method, relate in particular to a kind of evaluation method of water nutrition state.
Background technology
Body eutrophication be because supernutrition salt enters water bodys such as lake, river, under suitable temperature, illumination and flow condition, algal bloom, cause that water transparency descends, dissolved oxygen DO reduces, and fish and other aquatic organism death have a strong impact on the use value of water body in lake.Under the acting in conjunction of natural cause and artificial interference, the super nutritional status aggravation of urban water-body, the monitoring of water nutrition state and mensuration have become hot issue, though, a lot of mensuration and evaluation methods about the water nutrition degree are arranged now both at home and abroad, but lack a kind of easy and effective relatively accurate method for measuring.
In the prior art, the transparency, water temperature, chlorophyll a content, total phosphorus, total nitrogen, nitrite nitrogen, chemical oxygen demand (COD), biochemical oxygen demand, permanganate index, dissolved oxygen content etc. of the evaluation of water nutrition state being chosen usually water body are as main evaluation index; Evaluation method commonly used has: expert assessment method, aggregative index evaluation assessment, principal component analysis evaluation assessment, analytical hierarchy process, fuzzy set theory method and artificial neural network method etc.
Above method weak point is:
(1) number of parameters of Ce Dinging is many, and affected by environment big, link is many in sampling, preservation and mensuration process, and uncertainty and error are bigger.
(2) aggregative index evaluation assessment has only chlorophyll a content to belong to ecological index, only expresses the chlorophyllous summations of fresh water planktonic algae such as Cyanophyta in the water body, Chlorophyta and Chrysophyta.Lack the index that quantitative description planktonic algae different population and community ecosystem system changes, can't set up the quantitative model of nutritional status level and ecological recovery and phytoplankton population variation and from inquiring into the evolution mechanism of lake nutritional status in essence.
(3) biodiversity index is the international index system of ecosystem structure and function, and nutritional status water body ubiquity, the crucial biotic population with comparability and group promptly are the biodiversity index of planktonic algae.The traditional algae population and the quantitative method of group, the discriminating by phytoplankton in the water body and adopt microscopic examination and counting method based on the algae formalness.This method specialty requires high, waste time and energy, and the personal error of evaluation and count results is bigger.
Based on above-mentioned technical background, be necessary to propose a kind of new evaluation method, overcome the deficiency of above-mentioned existing evaluation method, more effective, more objective, the while can be made evaluation to water nutrition state again relatively easily.
Summary of the invention
The objective of the invention is to: a kind of method for evaluating water nutrition state is provided, can realizes quantitative evaluation and monitoring accurately objective, quickly and easily water nutrition state.
The objective of the invention is to be achieved through the following technical solutions:
A kind of method for evaluating water nutrition state is provided, may further comprise the steps:
1) gathers water body sample to be monitored;
2) determination step 1) concentration of algae chlorophyll a, b and c in the water body sample gathered;
3) calculation procedure 2) the concentration ratio c/a of the algae chlorophyll a that records and the concentration ratio b/a of b and algae chlorophyll a and c;
4) according to algae population component law in the water body under contained corresponding chlorophyllous characteristics of conventional algae and the Different Nutrition state, water nutrition state is estimated.
Wherein, the described collection of step 1) water body sample to be monitored can be gathered the equivalent sample simultaneously at a plurality of diverse locations of identical water body.
The method of described collection sample is preferably gathered 1L top layer water sample with the organic glass sampling thief at each sampled point, takes back immediately then and detects the place.
Step 2) method for measurement of concentration of described algae chlorophyll a, b and c can be behind the smudge cells with the direct lixiviate chlorophyll of hot ethanol, use the spectrophotometry chlorophyll concentration again.
The method for measurement of concentration of described algae chlorophyll a, b and c specifically can be to measure 500～1000ml water sample, adds 3～5 1%MgCO
3Suspending liquid adopts aperture 0.45 μ m, and the acetate fiber filter membrane of diameter 47mm carries out suction filtration; With qualitative filter paper filter membrane moisture is blotted, filter membrane is shredded put into the 5ml centrifuge tube, add 5ml 90% ethanol, carry out clasmatosis with conventional breaking method, after fragmentation is finished the liquid collection is entered centrifuge tube, in 80 ℃ of hot baths, heat 2min, place the dark place to extract 4～6h down for 4 ℃ then; Use the concentration of chlorophyll a, b and c in the spectrophotometry extract then.
Described clasmatosis can preferably use the broken instrument of high pressure cell to carry out.
Described preferred scheme with spectrophotometry algae chlorophyll a, b and c concentration is: after extracting algae chlorophyll, with the centrifugal 30min of the speed of 3000r/min, make reference with 90% ethanol, measure its absorbance with spectrophotometer down in 750nm, 664nm, 647nm, 630nm, use formula 1～3 (being recorded among disclosed Chinese patent literature CN 1631117 A on June 29th, 2005) to calculate the concentration of described chlorophyll a, b, c then:
Formula 1:chl a=[12.12 (D
664-D
750)-1.58 (D
647-D
750)-0.08 (D
630-D
750)] V
E/ V
SD
Formula 2:chl b=[-5.55 (D
664-D
750)+21.5 (D
647-D
750)-2.72 (D
630-D
750)] V
E/ V
SD
Formula 3:chl c=[-1.71 (D
664-D
750)-7.77 (D
647-D
750)+25.08 (D
630-D
750)] V
E/ V
SD
Wherein, chl a, chl b, chl c are respectively the concentration of chlorophyll a in the water sample, b, c, and unit is μ g/L; D
664, D
647, D
630, D
750Be respectively extract 630,647,664, the absorbance at 750nm place; V
EBe the constant volume of extract in the centrifuge tube, unit is mL; V
SBe volume of water sample, unit is L; D is the cuvette light path, and unit is cm.
The described evaluation of step 4) can be carried out according to two kinds of schemes, and scheme (1) can be distinguished substitution with following formula A and B with the b/a value and the c/a value that calculate, and preferred scheme (2) is b/a value and c/a value difference substitution formula C and the D that will calculate.Two kinds of schemes all can calculate two nutritional status grade x of water body sample respectively
1And x
2, and ask the final nutritional status grade of both mean value x, real number representation by 1～8 as the monitoring water body:
Formula A:b/a=0.0012x
1 4-0.0185x
1 3+ 0.0823x
1 2-0.0718x
1+ 0.0024;
Formula B:c/a=0.0029x
2 2-0.0037x
2+ 0.1229;
Formula C:b/a=-0.0306x
1 2+ 0.2481x1-0.334;
Formula D:c/a=0.0054x
2 2-0.0162x
2+ 0.1311;
Wherein 1～8 water nutrition state grade x represents the nutritional status of water body from the severe eutrophy to dystrophic continuous gradation respectively, and be specially: the severe eutrophy is represented in x=1～3; The moderate eutrophy is represented in x=3～4; X=4～slight the eutrophy of 5 representatives; Nutrition in x=5～7 representatives; X=7～poor the nutrition of 8 representatives.
Evaluation method of the present invention can be applicable to comprise in the nutritional status evaluation and monitoring of various water bodys such as lake, river.
It is the process of a gradual change that the nutritional status of water body changes.When water body from eutrophic state when poor nutritional status changes, the preponderant algae population in the water body changes to diatom, dinoflagellate, chrysophyceae from blue-green algae, green alga successively.Specifically, when water body presented nutritional status, blue-green algae and green alga were dominant populations; During nutritional status, diatom and green alga are dominant populations; And during poor nutritional status, dinoflagellate and chrysophyceae are preponderated.The inventor has determined that according to list of references of the prior art the population of algae and water under the Different Nutrition state forms, and sees for details shown in the accompanying drawing 1.
Under above-mentioned Different Nutrition state, in the corresponding algae population, blue-green algae is representative with microcystic aeruginosa (Microcystis aeruginosa, BGll medium) and anabena (Anabaena sp., SE medium), only contains chlorophyll a, does not contain b, c; Green alga is representative with chlorella pyrenoidosa (Chlorella pyrenoidosa, SE medium), contains chlorophyll a and b; Diatom is representative with Han Shi rhombus algae (Nitzschia hantzschiana, D1 medium), contains chlorophyll a and c; Dinoflagellate is representative with thin dinoflagellate (Glenodinium pulvisculus, HB 119 medium), also contains chlorophyll a and c; Chrysophyceae is decided whip chrysophyceae (Prymnesiumparvum, AF-6 medium) for representative with little, also contains chlorophyll a and c.The inventor obtains the concentration of above-mentioned algae chlorophyll a, b, c and the ratio of chlorophyll b/a, c/a through a large amount of laboratory studyes, sees for details shown in the accompanying drawing 2.
In conjunction with the research conclusion of above-mentioned two aspects, can calculate chlorophyll b/a, the c/a ratio of algal community under the Different Nutrition state (available x represents).And then obtain chlorophyll b/a, c/a ratio change curve (seeing shown in the accompanying drawing 3) and the pairing following functional expression A of curve, the B of algal community under the Different Nutrition state:
A：b/a＝0.0012x
4-0.0185x
3+0.0823x
2-0.0718x+0.0024
B：c/a＝0.0029x
2-0.0037x+0.1229
Also can further accurately obtain the chlorophyll b/a of algal community under the Different Nutrition state, optimal curve (seeing shown in the accompanying drawing 4) and following preferred functional expression C, the D that c/a ratio changes in addition:
C：b/a＝-0.0306x
2+0.2481x-0.334
D：c/a＝0.0054x
2-0.0162x+0.1311
According to above-mentioned gained curve as can be known, when water body from eutrophic state when poor nutritional status changes, show as chlorophyll b/a ratio and increase earlier, reduce the back, the value of Chlorofucsin/a then increases gradually.Fig. 3 (a) and (b) and Fig. 4 (a) and (b) have reflected above-mentioned variation tendency respectively, especially Fig. 4 reflected therefrom, the severe eutrophic state to the variation between the middle nutritional status more near real conditions, practical more in nearly reality.
Therefore, water body for a unknown nutritional status, as long as measure its chlorophyll b/a and c/a value, can judge its nutritional status qualitatively by the curve in Fig. 3 or 4, or estimate its nutritional status quantitatively by the result of calculation average of above-mentioned functional expression A, B or C, D, wherein the result who especially calculates with functional expression C, D is more accurate practical.
Compare with the comprehensive nutrient state indices method of prior art, chlorophyll ratioing technigue of the present invention need not to measure a plurality of parameters, under the condition that does not increase instrument and operation easier, include unexistent chlorophyll b and c in the routine monitoring when only needing to measure chlorophyll-a concentration in, thereby not only guaranteed result's accuracy more to have significantly reduced workload.Its main beneficial effect may be summarized to be:
(1) quantification
Utilize algae chlorophyll ratioing technigue of the present invention, can be on population and group's aspect the qualitative assessment water nutrition state.
(2) simplicity
Compared with prior art, simplified original 5-10 monitoring parameter, the concentration of single-time measurement chlorophyll a, b and c, and to the north of sea, Jingxi district be case (embodiment of the invention 1) contrast comprehensive nutrient state indices method, verified the reliability of the method for the invention.
(3) precision
Indoor sample pre-treatment and field monitoring sampling and preserve simplely, systematic error is little, can monitor a large amount of samples simultaneously, and disposable sample preparation can obtain 3 data simultaneously, and has good repeatability and comparability.
(4) be widely used
Can be widely used in seriously polluted, the super nutritional status of Chinese all kinds of water body, particularly water environment water and demand carrying out the ecological recovery water body urgently, and the dynamic process that water ecology recovers is carried out quantification monitoring and evaluation.
Description of drawings
Fig. 1 is the population composition diagram of algae in the water body under the Different Nutrition state;
Fig. 2 (a) is the concentration of conventional algae exponential increase chlorophyll a during the phase;
Fig. 2 (b) is the concentration of conventional algae exponential increase chlorophyll b, c during the phase and chlorophyll b/a, c/a ratio;
Fig. 3 (a) is to use in the evaluation method of aforementioned schemes (1), chlorophyll b/a ratio variation diagram under the Different Nutrition state;
Fig. 3 (b) is to use in the evaluation method of aforementioned schemes (1), chlorophyll c/a ratio variation diagram under the Different Nutrition state;
Fig. 4 (a) is to use in the evaluation method of aforementioned schemes (2), chlorophyll b/a ratio variation diagram under the Different Nutrition state
Fig. 4 (b) is to use in the evaluation method of aforementioned schemes (2), chlorophyll c/a ratio variation diagram under the Different Nutrition state;
Fig. 5 is the Xihai sea, Beijing sampling point position figure.
Embodiment
Mode by the following examples further elaborates technical scheme of the present invention and effect, but protection scope of the present invention is not limited to described embodiment.
1. field sampling
Choosing the Xihai sea, Beijing is sample ground, respectively in May, 2007 and October gathering water sample at its water inlet, three sampling points of water delivering orifice and hydrostatic place, sampled point setting is seen Fig. 5, gathers 1L top layer water sample with the organic glass sampling thief at each sampled point, measures the transparency (SD) of water body with the Sa Shi dish.Take back the laboratory after the sampling immediately;
2. measure the content of water sample chlorophyll a, b, c
Measure the 500ml water sample, add 3～5 1%MgCO
3Suspending liquid adopts aperture 0.45 μ m, and the acetate fiber filter membrane of diameter 47mm carries out suction filtration; With qualitative filter paper filter membrane moisture is blotted, filter membrane shredded put into the 5ml centrifuge tube, add 5ml 90% ethanol, carry out after the fragmentation liquid collection being entered centrifuge tube with conventional method of cell disruption, in 80 ℃ of hot baths, heat 2min, place the dark place to extract 4～6h down for 4 ℃ then; Then with the speed CEF 30min of 3000r/min, make reference with 90% ethanol, measure its absorbance with spectrophotometer down in 750nm, 664nm, 647nm, 630nm, use following formula 1～3 (being recorded among disclosed Chinese patent literature CN 1631117 A on June 29th, 2005) to calculate the concentration of described chlorophyll a, b, c then:
Formula 1:chl a=[12.12 (D
664-D
750)-1.58 (D
647-D
750)-0.08 (D
630-D
750)] V
E/ V
SD
Formula 2:chl b=[-5.55 (D
664-D
750)+2 1.5 (D
647-D
750)-2.72 (D
630-D
750)] V
E/ V
SD
Formula 3:chl c=[-1.71 (D
664-D
750)-7.77 (D
647-D
750)+25.08 (D
630-D
750)] V
E/ V
SD
Wherein, chl a, chl b, chl c are respectively the concentration of chlorophyll a in the water sample, b, c, and unit is μ g/L; D
664, D
647, D
630, D
750Be respectively extract 630,647,664, the absorbance at 750nm place; V
EBe the constant volume of extract in the centrifuge tube, unit is mL; V
SBe volume of water sample, unit is L; D is the cuvette light path, and unit is cm.
Calculate the value of chl b/chl a and chl c/chl a in the above-mentioned water sample then.
3. judge Xihai sea nutritional status level with evaluation method of the present invention
Chl b/chl a that step 2 is calculated and chl c/chl a value be two relational expressions below the substitution respectively:
b/a＝0.0012x
1 4-0.0185x
1 3+0.0823x
1 2-0.0718x
1+0.0024
c/a＝0.0029x
2 2-0.0037x
2+0.1229
Calculate x
1And x
2Mean value x as the water nutrition state grade point, this result compares with the result of comprehensive nutrient index method of the prior art evaluation, obtains table 1:
As seen, two kinds of methods all draw Mays three place's water bodys and are in severe nutritional status state; October three, place's water quality situation all took a turn for the better to some extent, and all was in slight eutrophy-middle nutritional status.Thereby can get, method of the present invention and comprehensive nutrient state indices method gained result are identical substantially, but method of the present invention mensuration process is simple, and favorable repeatability is more suitable for widespread use.
1. field sampling
Choosing the Baiyang Lake, Hebei province is sample ground, gathers water sample in April, 2008 respectively at listed each sampled point in the table 2, gathers 1L top layer water sample with the organic glass sampling thief at each sampled point, and its water temperature and pH value are surveyed in the scene, measure the transparency (SD) of water body with the Sa Shi dish.Take back the laboratory after the sampling immediately.
2. measure the content of each water sample chlorophyll a, b, c
Measure the 1000ml water sample, add 3～5 1%MgCO
3Suspending liquid adopts aperture 0.45 μ m, and the acetate fiber filter membrane of diameter 47mm carries out suction filtration; With qualitative filter paper filter membrane moisture is blotted, filter membrane is shredded put into the 5ml centrifuge tube, add 5ml 90% ethanol, carry out fragmentation with the broken instrument of high pressure cell, after fragmentation is finished the liquid collection is entered centrifuge tube, in 80 ℃ of hot baths, heat 2min, place the dark place to extract 4～6h down for 4 ℃ then; Then with the speed CEF 30min of 3000r/min, make reference with 90% ethanol, measure its absorbance with spectrophotometer down in 750nm, 664nm, 647nm, 630nm, use following formula 1～3 (being recorded among disclosed Chinese patent literature CN 1631117 A on June 29th, 2005) to calculate the concentration of described chlorophyll a, b, c then:
Formula 1:chl a=[12.12 (D
664-D
750)-1.58 (D
647-D
750)-0.08 (D
630-D
750)] V
E/ V
SD
Formula 2:chl b=[-5.55 (D
664-D
750)+21.5 (D
647-D
750)-2.72 (D
630-D
750)] V
E/ V
SD
Formula 3:chl c=[-1.71 (D
664-D
750)-7.77 (D
647-D
750)+25.08 (D
630-D
750)] V
E/ V
SD
Wherein, chl a, chl b, chl c are respectively the concentration of chlorophyll a in the water sample, b, c, and unit is μ g/L; D
664, D
647, D
630, D
750Be respectively extract 630,647,664, the absorbance at 750nm place; V
EBe the constant volume of extract in the centrifuge tube, unit is mL; V
SBe volume of water sample, unit is L; D is the cuvette light path, and unit is cm.
Calculate the value of chl b/chl a and chl c/chl a in above-mentioned each water sample then.
3. judge Baiyang Lake nutritional status level with evaluation method of the present invention
Chl b/chl a that step 2 is calculated and chl c/chl a value be two relational expressions below the substitution respectively:
b/a＝-0.0306x
1 2+0.2481x
1-0.334
c/a＝0.0054x
2 2-0.0162x
2+0.1311
Calculate x
1And x
2Mean value x, as the water nutrition state grade point, this result compares with the result of comprehensive nutrient index method of the prior art evaluation, obtains table 2:
By table 2 as seen, evaluation method gained result of the present invention and comprehensive nutrient index method basically identical of the prior art, good reproducibility is objective reliable in actual applications, but evaluation procedure is easier, is more suitable for widespread use.
In a word, method for evaluating water nutrition state of the present invention is worthy to be popularized as a kind of method for evaluating water nutrition state fast and accurately.
Claims (9)
1. method for evaluating water nutrition state may further comprise the steps:
1) gathers water body sample to be monitored;
2) determination step 1) concentration of algae chlorophyll a, b and c in the water body sample gathered;
3) calculation procedure 2) the algae chlorophyll a that records and the concentration ratio b/a of b and algae chlorophyll
The concentration ratio c/a of a and c;
4) according to algae in the water body under contained corresponding chlorophyllous characteristics of conventional algae and the Different Nutrition state
The population component law is made evaluation to water nutrition state.
2. the described method for evaluating water nutrition state of claim 1, it is characterized in that: the described collection of step 1) water body sample to be monitored is to gather the equivalent sample simultaneously at the diverse location of identical water body.
3. the described method for evaluating water nutrition state of claim 2 is characterized in that: the method for described collection sample is to gather 1L top layer water sample with the organic glass sampling thief at each sampled point, takes back immediately then and detects the place.
4. the described method for evaluating water nutrition state of claim 1 is characterized in that step 2) method for measurement of concentration of described algae chlorophyll a, b and c be behind the smudge cells with the direct lixiviate chlorophyll of hot ethanol, use the spectrophotometry chlorophyll concentration again.
5. the described method for evaluating water nutrition state of claim 4, it is characterized in that: the method for measurement of concentration of described algae chlorophyll a, b and c is to measure 500～1000ml water sample, adds 3～5 1%MgCO
3Suspending liquid adopts aperture 0.45 μ m, and the acetate fiber filter membrane of diameter 47mm carries out suction filtration; With qualitative filter paper filter membrane moisture is blotted, filter membrane is shredded put into the 5ml centrifuge tube, add 5ml 90% ethanol, carry out clasmatosis with conventional breaking method, after fragmentation is finished the liquid collection is entered centrifuge tube, in 80 ℃ of hot baths, heat 2min, place the dark place to extract 4～6h down for 4 ℃ then; Use the concentration of chlorophyll a, b and c in the spectrophotometry extract then.
6. the described method for evaluating water nutrition state of claim 5 is characterized in that: described clasmatosis uses the broken instrument of high pressure cell to carry out.
7. the described method for evaluating water nutrition state of claim 5, it is characterized in that: the concentration of chlorophyll a, b and c in the described spectrophotometry extract is after extracting algae chlorophyll, with the centrifugal 30min of the speed of 3000r/min, make reference with 90% ethanol, measure its absorbance with spectrophotometer down in 750nm, 664nm, 647nm, 630nm, calculate the concentration of described chlorophyll a, b, c then with formula 1～3:
Formula 1:chl a=[12.12 (D
664-D
750)-1.58 (D
647-D
750)-0.08 (D
630-D
750)] V
E/ V
SD
Formula 2:chl b=[-5.55 (D
664-D
750)+21.5 (D
647-D
750)-2.72 (D
630-D
750)] V
E/ V
SD
Formula 3:chl c=[-1.71 (D
664-D
750)-7.77 (D
647-D
750)+25.08 (D
630-D
750)] V
E/ V
SD
Wherein, chl a, chl b, chl c are respectively the concentration of chlorophyll a in the water sample, b, c, and unit is μ g/L; D
664, D
647, D
630, D
750Be respectively extract 630,647,664, the absorbance at 750nm place; V
EBe the constant volume of extract in the centrifuge tube, unit is mL; V
SBe volume of water sample, unit is L; D is the cuvette light path, and unit is cm.
8. the described method for evaluating water nutrition state of claim 1 is characterized in that: the described evaluation procedure of step 4) be the b/a value that will calculate and c/a value respectively substitution calculate two nutritional status grade x of water body sample respectively with following formula A and B
1And x
2, and ask the final nutritional status grade of both mean value x as the monitoring water body, real number representation by 1～8;
Formula A:b/a=0.0012x
1 4-0.0185x
1 3+ 0.0823x
1 2-0.0718x
1+ 0.0024
Formula B:c/a=0.0029x
2 2-0.0037x
2+ 0.1229
Wherein 1～8 water nutrition state grade is represented the nutritional status of water body from the severe eutrophy to dystrophic continuous gradation respectively, is specially: the severe eutrophy is represented in x=1～3; The moderate eutrophy is represented in x=3～4; X=4～slight the eutrophy of 5 representatives; Nutrition in x=5～7 representatives; X=7～poor the nutrition of 8 representatives.
9. the described method for evaluating water nutrition state of claim 8 is characterized in that: replace described A and B respectively in order to following formula C and D.
Formula C:b/a=-0.0306x
2+ 0.2481x-0.334
Formula D:c/a=0.0054x
2-0.0162x+0.1311.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2447435C2 (en) * | 2010-03-04 | 2012-04-10 | Государственное образовательное учреждение высшего профессионального образования "Петрозаводский государственный университет" | Method of evaluating effect of pond aquaculture on state of aquatic ecosystem |
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| CN105116127A (en) * | 2015-09-21 | 2015-12-02 | 南开大学 | Method for evaluating drainage basin nutrient salt pollution degree |
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|---|---|---|---|---|
| US20040241644A1 (en) * | 2003-05-16 | 2004-12-02 | Institute For Environmental Health, Inc. | Enrichment methods for the detection of pathogens and other microbes |
| CN1631117A (en) * | 2004-12-30 | 2005-06-29 | 西安建筑科技大学 | Hydrobiontic algae chlorophyll measuring method |
| CN1963466A (en) * | 2006-11-20 | 2007-05-16 | 南开大学 | Testing method for chlorophyll of phytoplankton in water |
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2008
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040241644A1 (en) * | 2003-05-16 | 2004-12-02 | Institute For Environmental Health, Inc. | Enrichment methods for the detection of pathogens and other microbes |
| CN1631117A (en) * | 2004-12-30 | 2005-06-29 | 西安建筑科技大学 | Hydrobiontic algae chlorophyll measuring method |
| CN1963466A (en) * | 2006-11-20 | 2007-05-16 | 南开大学 | Testing method for chlorophyll of phytoplankton in water |
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| RU2447435C2 (en) * | 2010-03-04 | 2012-04-10 | Государственное образовательное учреждение высшего профессионального образования "Петрозаводский государственный университет" | Method of evaluating effect of pond aquaculture on state of aquatic ecosystem |
| US20130342844A1 (en) * | 2012-06-21 | 2013-12-26 | Honeywell Asca Inc. | Sensor for early detection of problems in algae cultures and related system and method |
| US8848190B2 (en) * | 2012-06-21 | 2014-09-30 | Honeywell Asca Inc. | Sensor for early detection of problems in algae cultures and related system and method |
| CN104459074A (en) * | 2014-12-19 | 2015-03-25 | 西安建筑科技大学 | Experimental method for measuring water body eutrophication driving factor |
| CN105116127A (en) * | 2015-09-21 | 2015-12-02 | 南开大学 | Method for evaluating drainage basin nutrient salt pollution degree |
| CN106769903A (en) * | 2017-01-12 | 2017-05-31 | 南京渔管家物联网科技有限公司 | A kind of breeding water body algae concentration detection method |
| CN106769903B (en) * | 2017-01-12 | 2020-05-19 | 南京渔管家物联网科技有限公司 | Method for detecting concentration of algae in aquaculture water |
| CN111474021A (en) * | 2020-01-07 | 2020-07-31 | 三峡大学 | Method for rapidly fixing and identifying phytoplankton in water body |
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