CN106596853B - A method of based on prediction phytomass under different water velocities - Google Patents
A method of based on prediction phytomass under different water velocities Download PDFInfo
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 56
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- 239000002028 Biomass Substances 0.000 claims abstract description 34
- 230000012010 growth Effects 0.000 claims abstract description 32
- 238000005259 measurement Methods 0.000 claims abstract description 10
- 230000003068 static effect Effects 0.000 claims abstract description 7
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- 235000009165 saligot Nutrition 0.000 claims description 16
- 230000007613 environmental effect Effects 0.000 claims description 9
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- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 230000003698 anagen phase Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 230000009605 growth rhythm Effects 0.000 description 2
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- 230000000050 nutritive effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
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- 206010003694 Atrophy Diseases 0.000 description 1
- 241000195493 Cryptophyta Species 0.000 description 1
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- 238000012851 eutrophication Methods 0.000 description 1
- 229910001385 heavy metal Inorganic materials 0.000 description 1
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- 239000007943 implant Substances 0.000 description 1
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- G—PHYSICS
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Abstract
The invention discloses a kind of based on the method for predicting phytomass under different water velocities, belongs to aquatile engineering field.(1) several vegetable seeds cultivations to be measured are injected into water in the same terms region in planting area；(2) propeller is set in water, several groups are planted in growth course, and setting several groups difference propeller frequency corresponds to different water velocities and static group；(3) the corresponding group phytomass per measurement in several days；(4) phytomass and time chart are drawn；(5) building has the logistic equation of water velocity；(6) equation becomesA, b, c, d are model parameter；(7) regression equation coefficient, the value of a, b, c, d are obtained by the fitting of measured value；(8) result of variations of phytomass biomass under the influence of water velocity is obtained.It may be implemented to predict the phytomass of corresponding flow velocity, rapidly, levels of precision is high according in the case where different in flow rate.
Description
Technical field
The present invention relates to aquatile engineering fields, are based on predicting under different water velocities more specifically to one kind
The method of phytomass.
Background technique
Submerged plant is one of important primary producer of lake ecosystem, in the structure and function for maintaining aquatic ecosystem
Energy and bio-diversity play irreplaceable role, and have and purify water, inhibit the ecological functions such as algal grown.
However, submerged plant area atrophy, diversity decline and extinction phenomenon generally go out with the quickening of lake eutrophication process
It is existing, for example, Gehu lake, the Dianchi Lake, Yunnan Province of China, the A Lehu of Denmark, German northeast lake etc..Therefore, submerged vegetation is extensive
It is multiple to be of great significance with reconstruction.The growth of submerged plant, existence and breeding are influenced by multiple factors, can be summarized as substantially with
Lower aspect: 1. intensity of illumination；2. nutritive salt；3. substrate；4. suspended matter；5. water flow；6. temperature；Other factors such as attached algae,
Heavy metal, pH etc..It is relatively broad about the research to submerged plant Influencing Mechanism such as light intensity, nutritive salt, substrate at present, about heavy
Water plant is less to the research of the life growth response of external cause water volume flow rate, and hydrodynamic force influences water by the change on material absorbing rate
The metabolism of biology, to influence its growth.Therefore, some models are constructed to predict the growth of vegetation under given conditions
Trend is conducive to disclose the inherent growth rhythm of plant under given conditions, is eutrophic lake submerged plant recovery project
More scientific and reasonable reference data and suggestion are provided.
Logistic equation:A, M, r > 0.In formula: A is the maximum parameter of plant growth, i.e. A=
ymax；M is parameter related with initial value；R is intrinsic rate of increase (maximum growth rate) parameter.Y is the monotonic increase about t
Function.There are an inflection point, inflection point coordinates for curve are as follows:Maximum growth rate at this time are as follows:Logistic curve is typical symmetric form " S type " growth curve with initial value.
Be with the growth curve that logistic equation describes plant population quantity merely it is defective, do not account for plant and exist
The difference of upgrowth situation under the conditions of varying environment not can reflect influence of the changes in environmental conditions to population growth.The prior art
In also have relevant utilization, carry out the observation of corresponding plants.
Chinese patent application, application number 201610285923.5 publication date on August 17th, 2016, disclose a kind of measurement
The method of Genes For Plant Tolerance adverse circumstance ability grows more consistent healthy seedling by culture, applies the culture of the adverse circumstance factor for investigating
The plant seedlings of leaf growth situation measure the maximum leaf length and maximum width of blade of different size of plant, construct blade face product module
Type；Spire that one has just been unfolded blade as a purpose is selected, with the Logistic equation of 4 parameters, constructs purpose blade maximum leaf
Long, maximum width of blade and leaf area acquire the purpose blade leaf area cultivated under different adverse circumstances with the equation of change of incubation time
Growth parameter(s) and growth rate and logarithmic growth phase duration when being in logarithmic growth phase half；According to above-mentioned parameter come
Judge the size of the anti-different adverse circumstance abilities of plant.The invention is long easy with maximum width of blade etc. by the maximum leaf for investigating plant leaf blade
Index is surveyed, while not demolition purpose plant leaf blade, quick obtaining plant leaf blade maximum leaf length, maximum width of blade and leaf area etc.
The dynamic change of biomass parameters can timely feedback plant to the resistivity of extraneous adverse circumstance, and simple experiment, data compared with
To be reliable, but the invention mainly detects its dynamic change under different adverse circumstances from plant leaf blade, and the influence for water flow is simultaneously
Corresponding reasonable plan is not provided, for situation of how growing up under different flow conditions, does not there is specific elaboration.
Summary of the invention
1. technical problems to be solved
It is existing in the prior art can not the accurate judgement plant growth amount under different flow conditions aiming at the problem that, this hair
It is bright to provide a kind of method based on prediction phytomass under different water velocities.It may be implemented according to feelings different in flow rate
Under condition, the phytomass of corresponding flow velocity is predicted, rapidly, levels of precision is high.
2. technical solution
The purpose of the present invention is achieved through the following technical solutions.
A method of based on phytomass is predicted under different water velocities, its step are as follows:
(1) several vegetable seeds cultivations to be measured are injected into water in the same terms region in planting area；
(2) propeller is set in water, several groups are planted in growth course, and setting several groups difference propeller frequency is corresponding not
With water velocity and static group；
(3) the corresponding group phytomass per measurement in several days；
(4) phytomass and time chart are drawn；
(5) building has the Logistic equation of water velocity, and equation isDescription is corresponding to plant
The upgrowth situation of object, wherein N is the biomass (g/ plants) of plant single plant, and K is environmental condition maximum plant single plant allowed
Biomass (g/ plants), a constant related with primary condition, t are growth time, and v is water velocity (m/s), and a, r, c is model ginseng
Number；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are enabled, then equation becomesA, b, c, d are model parameter；
(7) definite equation (2), and draw, for measured value using step (4) time as X-axis, flow velocity is Y-axis, and actual measurement biomass is
Z axis mapping carries out regression analysis according to equation (2), obtains regression equation coefficient, the value of a, b, c, d by the fitting of measured value；
(8) a, b, c, d value are brought into equation (2), obtains the variation of phytomass biomass under the influence of water velocity
As a result.
Further, it is drawn in step (4) and step (7) using origin software.
Further, the plant is water caltrop.The growth of water caltrop more meets Logistic model.
Further, in step (2), by adjust propeller frequency, setting 4 groups of water flow velocities be respectively 0.05m/s,
0.1m/s, 0.15m/s, 0.20m/s are separately arranged static group as a control group；
Further, each flow velocity experimental period is 30 days in step (3), every six days measurement water caltrop biomass of individual tree.
Further, in step (7), fitting obtains coefficient a=1.237, b=2.644, c=0.214, d=3.750.
3. beneficial effect
Compared with the prior art, the present invention has the advantages that
(1) it is directed to the growth tendency of existing vegetation under given conditions, we can not carry out Accurate Prediction, simple to use
Logistic equation describe plant population quantity growth curve be it is defective, do not account for plant under difficult environmental conditions
The difference of upgrowth situation, not can reflect influence of the changes in environmental conditions to population growth, and this programme is invented one kind and can be based on
The method of the Accurate Prediction phytomass of water velocity can accurately obtain the biomass of corresponding time implants growth, make
Plant growth prediction is controllable, preparing and prepare with good supporting role to later stage work；
(2) building has the Logistic equation of water velocity, and convenient and efficient, accuracy is good, using software building biology
The corresponding diagram with the time is measured, equation required for rapid build obtains predicted value；
(3) using software composition and the corresponding fitting of actual test value, it is quickly obtained the water velocity of targeted plant
Logistic equation, the accurate projected relationship formula for obtaining corresponding plant is accurate convenient, can be to the growth of the plant under different in flow rate
It is predicted, is conducive to disclose the inherent growth rhythm of plant under given conditions, be repaired for eutrophic lake submerged plant
Engineering provides more scientific and reasonable reference data and suggestion.
Detailed description of the invention
Fig. 1 is water caltrop biomass and the relational graph of time of the invention；
Fig. 2 is the relational graph of water caltrop time, flow velocity and biomass；
Specific embodiment
With reference to the accompanying drawings of the specification and specific embodiment, the present invention is described in detail.
Embodiment 1
In actual operation, be with the growth curve that Logistic equation describes plant population quantity merely it is defective,
The difference for not accounting for plant upgrowth situation under difficult environmental conditions, not can reflect changes in environmental conditions to population growth
It influences.The present invention introduces water velocity item, can accurately obtain in different water velocities on the basis of Logistic growth model
Under correspondence growth model, quick predict corresponds to the biomass of time plant.
A method of based on phytomass is predicted under different water velocities, its step are as follows:
(1) several vegetable seeds cultivations to be measured are injected into water in the same terms region in planting area；
(2) propeller is set in water, several groups are planted in growth course, and setting several groups difference propeller frequency is corresponding not
With water velocity and static group；
(3) the corresponding group phytomass per measurement in several days；
(4) phytomass and time chart are drawn, the drawing of origin software can be used herein；
(5) building has the logistic equation of water velocity, and equation isDescription is corresponding to plant
The upgrowth situation of object, wherein N is the biomass (g/ plants) of plant single plant, and K is environmental condition maximum plant single plant allowed
Biomass (g/ plants), a constant related with primary condition, t are growth time, and v is water velocity (m/s), and a, r, c is model ginseng
Number；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are enabled, then equation becomesA, b, c, d are model parameter；
(7) definite equation (2), and draw, the drawing of origin software can be used herein, measured value is with step (4) time
For X-axis, flow velocity is Y-axis, surveys biomass as Z axis mapping, carries out regression analysis according to equation (2), pass through the fitting of measured value
Obtain regression equation coefficient, the value of a, b, c, d；
(8) a, b, c, d value are brought into equation (2), obtains the variation of phytomass biomass under the influence of water velocity
As a result.
Obtain the equation of corresponding phytomass variation of biomass under the influence of water velocity, it is desirable to obtain the corresponding time
Biological magnitude, it is only necessary to corresponding phytomass growth meets basic Logistic equation relationship, so that it may introduce water flow velocity
Degree, input time parameter are obtained with the value of corresponding biomass.
Embodiment 2
As follows for the influence experiment different in flow rate to water caltrop growth, plant is water caltrop, and the growth of water caltrop more meets
Logistic model.Steps are as follows:
(1) curly pondweed rigid bud is purchased from somewhere water plant base, chooses the identical clint of biomass as experimental material；Experiment
System building: lake mud (TN:3.115 ± 0.008g/kg, TP:1.238 ± 0.004) is tiled into upper bore 16cm, lower relative aperture
10cm, high 12.5cm experiment small flower in, substrate is with a thickness of 10cm.After substrate is completed, it is placed in 4.5m × 1.4m × 1.2m
Annular water tank in, and slowly inject tap water along cell wall, depth of water 1m, after stablizing after 7 days, by clint kind in experiment little Hua
In basin, every 10 coccolith bud of basin kind；
(2) water velocity, 3.8Hz, 6.6Hz, 9.3Hz, 12.3Hz, corresponding stream are set by adjusting propeller frequency
Speed be respectively 0.05m/s, 0.1m/s, 0.15m/s, 0.20m/s, with it is static as a control group；
(3) each flow velocity experimental period is 30 days, surveys within every six days water caltrop biomass of individual tree (g/ plants), specifically surveys number
According to being shown in Table 1.
The water caltrop biomass of individual tree measured value of the lower different time different in flow rate of table 1
(4) using origin software be made in it is different in flow rate under water caltrop biomass and the relational graph of time, as shown in Figure 1；
The relational graph of water caltrop biomass and time meet Logistic model；
(5) Logistic normal equation:N is the size of plant population in formula, generally refers to plant
Biomass, K are Carrying capacity, and r is intrinsic rate of increase, a parameter related with initial value, at this point, building has water velocity
Logistic equation, equation isThe upgrowth situation of corresponding plant is described, wherein N is that plant is single
The biomass (g/ plants) of strain, K are environmental condition maximum plant biomass of individual tree (g/ plants) allowed, and a has with primary condition
The constant of pass, t are growth time, and v is water velocity (m/s), and a, r, c is model parameter；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are enabled, then equation becomesA, b, c, d are model parameter；
(7) definite equation (2), and draw, for measured value using step (4) time as X-axis, flow velocity is Y-axis, and actual measurement biomass is
Z axis mapping, carries out regression analysis according to equation (2), sees Fig. 2, obtains regression equation coefficient by the fitting of measured value, a, b, c,
The value of d；The fitting of measured value obtains regression equation coefficient and is shown in Table 2；
2 time of table, flow velocity and water caltrop biomass of individual tree fit parameter values
(8) a, b, c, d value are brought into equation (2), obtains the variation of phytomass biomass under the influence of water velocity
As a result.To based on the lower Logistic equation for predicting water caltrop biomass different in flow rate:R2=
0.92887。
Formula calculates gained theoretical value and measured value carries out ANVOA variance analysis, and analysis the results are shown in Table 3；
3 theoretical value of table and measured value carry out ANVOA and analyze result table
There was no significant difference for P=0.123 > 0.05, theoretical value and measured value progress, is fitted successfully.
Schematically the invention and embodiments thereof are described above, description is not limiting, not
In the case where spirit or essential characteristics of the invention, the present invention can be realized in other specific forms.Institute in attached drawing
What is shown is also one of the embodiment of the invention, and actual structure is not limited to this, any attached in claim
Icon note should not limit the claims involved.So not departed from if those of ordinary skill in the art are inspired by it
In the case where this creation objective, frame mode similar with the technical solution and embodiment are not inventively designed, it should all
Belong to the protection scope of this patent.In addition, one word of " comprising " is not excluded for other elements or step, "one" word before the component
It is not excluded for including " multiple " element.The multiple element stated in claim to a product can also by an element by software or
Person hardware is realized.The first, the second equal words are used to indicate names, and are not indicated any particular order.
Claims (5)
1. a kind of based on the method for predicting phytomass under different water velocities, its step are as follows:
(1) several vegetable seeds cultivations to be measured are injected into water in the same terms region in planting area；The plant is
Water caltrop；
(2) propeller is set in water, several groups are planted in growth course, and setting several groups difference propeller frequency corresponds to different water
Flow velocity degree and static group；
(3) the corresponding group phytomass per measurement in several days；
(4) phytomass and time chart are drawn；
(5) building has the Logistic equation of water velocity, and equation isCorresponding plant is described
Upgrowth situation, wherein N is that the biomass unit of plant single plant is g/ plants, and K is environmental condition maximum plant single plant allowed
Biomass, unit are g/ plants, and a constant related with primary condition, t is growth time, and it is m/s, a, r that v, which is water velocity unit,
C is model parameter；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are enabled, then equation becomesa、
B, c, d are model parameter；
(7) definite equation (2), and draw, for measured value using step (4) time as X-axis, flow velocity is Y-axis, and actual measurement biomass is Z axis
Mapping carries out regression analysis according to equation (2), obtains the value of regression equation coefficient a, b, c, d by the fitting of measured value；
(8) a, b, c, d value are brought into equation (2), obtain the result of variations of phytomass biomass under the influence of water velocity,
Equation (2) calculates gained theoretical value and measured value carries out ANVOA variance analysis, evaluates fitting result.
2. according to claim 1 a kind of based on the method for predicting phytomass under different water velocities, feature exists
In: it is drawn in step (4) and step (7) using origin software.
3. according to claim 1 a kind of based on the method for predicting phytomass under different water velocities, feature exists
In: in step (2), by adjust propeller frequency, setting 4 groups of water flow velocities be respectively 0.05m/s, 0.1m/s, 0.15m/s,
0.20m/s is separately arranged static group as a control group.
4. according to claim 1 or 3 a kind of based on the method for predicting phytomass under different water velocities, feature
Be: each flow velocity experimental period is 30 days in step (3), every six days measurement water caltrop biomass of individual tree.
5. according to claim 4 a kind of based on the method for predicting phytomass under different water velocities, feature exists
In: in step (7), fitting obtains coefficient a=1.237, b=2.644, c=0.214, d=3.750.
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