CN106596853A - Method for predicting plant biomass based on different water flow velocities - Google Patents
Method for predicting plant biomass based on different water flow velocities Download PDFInfo
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- G—PHYSICS
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Abstract
The invention discloses a method for predicting plant biomass based on different water flow velocities and belongs to the field of aquatic biological engineering. The method comprises the following steps: (1) cultivating a plurality of to-be-tested plant seeds in regions with the same condition and injecting water into the planting regions; (2) setting propellers in water, and setting multiple groups of different propeller frequencies corresponding to different water flow velocities and a static group in the planting and growth process of the multiple groups; (3) measuring the plant biomass of the corresponding group every several days; (4) drawing a plant biomass and time relation graph; (5) establishing a logistic equation with the water flow velocity; (6) changing the equation into a formula (the formula is as shown in the description), wherein a, b, c and d are model parameters; (7) obtaining the values of regression equation coefficient, namely a, b, c and d, through fitting of actual measured values; (8) obtaining the change result of plant biomass under the influence of the water flow velocity. By the method, the plant biomass at the corresponding the flow velocity can be predicted quickly according to different flow velocities, and the accuracy degree is high.
Description
Technical field
The present invention relates to aquatile engineering field, more particularly, it relates to a kind of based on prediction under different water velocities
The method of phytomass.
Background technology
Submerged plant is one of important primary producer of lake ecosystem, is maintaining the structure and work(of aquatic ecosystem
Energy and bio-diversity play irreplaceable effect, and with the ecological functions such as algal grown that purify water, suppress.
However, with the quickening of lake eutrophication process, submerged plant area atrophy, multiformity declines and extinction phenomenon generally goes out
Existing, such as Chinese Gehu lake, Dianchi Lake, Yunnan Province, the A Lehu of Denmark, German northeast lake etc..Therefore, submerged vegetation is extensive
It is multiple significant with reconstruction.The growth of submerged plant, existence and breeding are affected by multiple factors, can be summarized as substantially with
Lower aspect：1. intensity of illumination；2. nutritive salt；3. substrate；4. float；5. current；6. temperature；Other factors such as attached algae,
Heavy metal, pH etc..Research at present with regard to light intensity, nutritive salt, substrate etc. to submerged plant Influencing Mechanism is relatively broad, with regard to heavy
Research of the water plant to the raw growth response of exopathogenic factor water volume flow rate is less, and hydrodynamic force affects water by the change on material absorbing rate
Biological metabolism, so as to affect it to grow.Therefore, build some models to predict vegetation growth under given conditions
Trend, is conducive to disclosing plant inherent growth rhythm under given conditions, is eutrophic lake submerged plant recovery project
The more scientific and reasonable reference data of offer and suggestion.
Logistic equations：A, M, r>0.In formula：A for plant growing maximum parameter, i.e. A=
ymax；M is the parameter relevant with initial value；R is intrinsic rate of increase (maximum growth rate) parameter.Y is the monotonic increase with regard to t
Function.There is a flex point in curve, flex point coordinate is：Now maximum growth rate is：Logistic curves are typical symmetric form " S types " growth curves with initial value.
The simple growth curve for describing plant population quantity with logistic equations is defective, does not account for plant and exists
The difference of upgrowth situation under the conditions of varying environment, it is impossible to reflect impact of the changes in environmental conditions to population growth.Prior art
In also have correlation utilization, carry out the observation of corresponding plants.
Chinese patent application, application number 201610285923.5, publication date August in 2016 17 days discloses a kind of measure
The method of Genes For Plant Tolerance adverse circumstance ability, by the more consistent healthy seedling of culture growth, applying the culture of the adverse circumstance factor is used to investigate
The plant seedlings of leaf growth situation, measure the maximum leaf length and maximum width of blade of different size of plant, build blade face product module
Type；A spire for just having launched is selected as purpose blade, with the Logistic equations of 4 parameters, purpose blade maximum leaf is built
Long, maximum width of blade and leaf area try to achieve the purpose blade leaf area of culture under different adverse circumstances with the equation of change of incubation time
Growth parameter(s) and growth rate when being in exponential phase half and exponential phase persistent period；According to above-mentioned parameter come
Judge the size of the anti-different adverse circumstance abilities of plant.Maximum leaf length and maximum width of blade that this invention passes through investigation plant leaf blade etc. is easily
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 in time feed back the resistivity of plant adverse circumstance to external world, and simple experiment, data compared with
For reliability, but this invention is mainly from plant leaf blade detecting its dynamic change under different adverse circumstances, for current impact simultaneously
Corresponding reasonable plan is not given, for situation of how growing up under different flow conditions, does not there is specific elaboration.
The content of the invention
1. the technical problem to be solved
For the problem that plant growing amount cannot be accurately judged under different flow conditions present in prior art, this
It is bright there is provided it is a kind of based under different water velocities predict phytomass method.It can be realized according to feelings different in flow rate
Under condition, the phytomass of correspondence flow velocity is predicted, rapidly, levels of precision is high.
2. technical scheme
The purpose of the present invention is achieved through the following technical solutions.
A kind of method based on phytomass is predicted under different water velocities, its step is as follows：
(1) some plant seeds to be measured are cultivated in the same terms region, water is injected in planting area；
(2) propeller is set in water, in some groups of plantation growth courses, some groups of different propeller frequency correspondences is set not
With water velocity and static group；
(3) correspondence group phytomass was determined per some days；
(4) phytomass and time chart are drawn；
(5) the Logistic equations with water velocity are built, equation isDescription correspondence is planted
The upgrowth situation of thing, wherein, N for plant individual plant Biomass (g/ strains), the maximum plant individual plant that K can be allowed for environmental condition
Biomass (g/ strains), a relevant with initial condition constant, t is growth time, and v is water velocity (m/s), and a, r, c are model ginseng
Number；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are made, then equation is changed intoA, b, c, d are model parameter；
(7) definite equation (2), and draw, with step (4) time as X-axis, flow velocity is Y-axis to measured value, and actual measurement Biomass is
Z axis are mapped, and according to equation (2) regression analyses are carried out, and by the fitting of measured value regression equation coefficient, the value of a, b, c, d are obtained；
(8) bring a, b, c, d value into equation (2), obtain the change of phytomass Biomass under the influence of water velocity
As a result.
Further, origin softwares are drawn used in step (4) and step (7).
Further, described plant is water caltrop.The growth of water caltrop more meets Logistic models.
Further, in step (2), by adjustable screw oar frequency, 4 groups of water flow velocities of setting be respectively 0.05m/s,
0.1m/s, 0.15m/s, 0.20m/s, separately arrange static group as a control group；
Further, each flow velocity experimental period is 30 days in step (3), and water caltrop biomass of individual tree was determined per six days.
Further, in step (7), fitting obtains coefficient a=1.237, b=2.644, c=0.214, d=3.750.
3. beneficial effect
Compared to prior art, it is an advantage of the current invention that：
(1) growth tendency for existing vegetation under given conditions, we cannot carry out Accurate Prediction, simple to use
It is defective that Logistic equations describe the growth curve of plant population quantity, does not account for plant under difficult environmental conditions
The difference of upgrowth situation, it is impossible to reflect impact of the changes in environmental conditions to population growth, 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 correspondence time implants growth, make
Plant growing prediction is controllable, preparing and prepare with good supporting role to later stage work；
(2) the Logistic equations with water velocity are built, convenient and swift, accuracy is good, it is biological using software building
Amount and the corresponding diagram of time, the equation required for rapid build obtains predictive value；
(3) using the fitting corresponding with actual test value of software composition, the water velocity of targeted plant is quickly obtained
Logistic equations, accurately obtain the projected relationship formula of correspondence plant, accurate convenient, can be to the growth of the plant under different in flow rate
It is predicted, is conducive to disclosing plant inherent growth rhythm under given conditions, is that eutrophic lake submerged plant is repaired
The more scientific and reasonable reference data of engineering offer and suggestion.
Description of the drawings
Fig. 1 is the graph of a relation of the water caltrop Biomass with the time of the present invention；
Fig. 2 is the graph of a relation of water caltrop time, flow velocity and Biomass；
Specific embodiment
With reference to Figure of description and specific embodiment, the present invention is described in detail.
Embodiment 1
In real work, the growth curve for describing plant population quantity with Logistic equations merely be it is defective,
The difference of plant upgrowth situation is not under difficult environmental conditions accounted for, it is impossible to reflect changes in environmental conditions to population growth
Affect.The present invention introduces water velocity item on the basis of Logistic growth models, can accurately obtain in different water velocities
Under corresponding growth model, fast prediction correspondence the time plant Biomass.
A kind of method based on phytomass is predicted under different water velocities, its step is as follows：
(1) some plant seeds to be measured are cultivated in the same terms region, water is injected in planting area；
(2) propeller is set in water, in some groups of plantation growth courses, some groups of different propeller frequency correspondences is set not
With water velocity and static group；
(3) correspondence group phytomass was determined per some days；
(4) phytomass and time chart are drawn, here can be drawn using origin softwares；
(5) the logistic equations with water velocity are built, equation isDescription correspondence is planted
The upgrowth situation of thing, wherein, N for plant individual plant Biomass (g/ strains), the maximum plant individual plant that K can be allowed for environmental condition
Biomass (g/ strains), a relevant with initial condition constant, t is growth time, and v is water velocity (m/s), and a, r, c are model ginseng
Number；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are made, then equation is changed intoA, b, c, d are model parameter；
(7) definite equation (2), and draw, here can be drawn using origin softwares, and measured value is with step (4) time
For X-axis, flow velocity is Y-axis, and actual measurement Biomass is Z axis mapping, regression analyses is carried out according to equation (2), by the fitting of measured value
Obtain regression equation coefficient, the value of a, b, c, d；
(8) bring a, b, c, d value into equation (2), obtain the change of phytomass Biomass under the influence of water velocity
As a result.
Obtain the equation of correspondence phytomass change of Biomass under the influence of water velocity, it is desirable to obtain the correspondence time
Biological value, it is only necessary to correspondence phytomass growth meet basic Logistic equations relation, it is possible to introduce water flow velocity
Degree, input time parameter is obtained with the value of correspondence Biomass.
Embodiment 2
As follows for the impact experiment to water caltrop growth different in flow rate, plant is water caltrop, and the growth of water caltrop more meets
Logistic models.Step is as follows：
(1) curly pondweed rigid bud is purchased from somewhere water plant base, chooses Biomass identical clint as experiment material；Experiment
System constructing：By lake mud (TN：3.115 ± 0.008g/kg, TP：1.238 ± 0.004) tile into upper bore 16cm, lower relative aperture
In 10cm, the experiment small flower of high 12.5cm, substrate thickness is 10cm.After substrate is completed, 4.5m × 1.4m × 1.2m is positioned over
Annular water tank in, and slowly inject tap water along cell wall, the depth of water is 1m, it is stable after 7 days after, by clint kind in experiment little Hua
In basin, per the coccolith bud of basin kind 10；
(2) by adjustable screw oar frequency setting water velocity, 3.8Hz, 6.6Hz, 9.3Hz, 12.3Hz, corresponding stream
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, and water caltrop biomass of individual tree (g/ strains) was surveyed per six days, 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 softwares be made in it is different in flow rate under water caltrop Biomass and time graph of a relation, as shown in Figure 1；
Water caltrop Biomass meets Logistic models with the graph of a relation of time；
(5) Logistic normal equations：N is the size of plant population in formula, generally refers to plant
Biomass, K is Carrying capacity, and r is intrinsic rate of increase, and a relevant with initial value parameter now, builds and carries water velocity
Logistic equations, equation isThe upgrowth situation of description correspondence plant, wherein, N is plant list
The Biomass (g/ strains) of strain, the maximum plant biomass of individual tree (g/ strains) that K can be allowed for environmental condition, a has with initial condition
The constant of pass, t is growth time, and v is water velocity (m/s), and a, r, c are model parameter；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are made, then equation is changed intoA, b, c, d are model parameter；
(7) definite equation (2), and draw, with step (4) time as X-axis, flow velocity is Y-axis to measured value, and actual measurement Biomass is
Z axis are mapped, and according to equation (2) regression analyses are carried out, and see Fig. 2, and by the fitting of measured value regression equation coefficient is obtained, a, b, c,
The value of d；The fitting of measured value obtains regression equation coefficient and is shown in Table 2；
The fit parameter values of the time of table 2, flow velocity and water caltrop biomass of individual tree
(8) bring a, b, c, d value into equation (2), obtain the change of phytomass Biomass under the influence of water velocity
As a result.To the Logistic equations based on lower prediction water caltrop Biomass different in flow rate：R2=
0.92887。
Formula calculates gained theoretical value and carries out ANVOA variance analyses with measured value, and analysis result is shown in Table 3；
The theoretical value of table 3 carries out ANVOA analysis result tables with measured value
P=0.123>0.05, theoretical value and measured value carry out that there was no significant difference, are fitted successfully.
Below schematically the invention and embodiments thereof be described, the description does not have restricted, not
In the case of the spirit or essential characteristics of the present invention, the present invention can be in other specific forms realized.Institute in accompanying drawing
What is shown is also one of embodiment of the invention, and actual structure is not limited thereto, any attached in claim
Icon note should not limit involved claim.So, if one of ordinary skill in the art is enlightened by it, without departing from
In the case of this creation objective, the frame mode similar to the technical scheme and embodiment are designed without creative, all should
Belong to the protection domain of this patent.Additionally, " an including " word is not excluded for other elements or step, the word of " one " one before element
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's hardware is realizing.The first, the second grade word is used for representing title, and is not offered as any specific order.
Claims (6)
1. a kind of method based on phytomass is predicted under different water velocities, its step is as follows：
(1) some plant seeds to be measured are cultivated in the same terms region, water is injected in planting area；
(2) propeller is set in water, in some groups of plantation growth courses, some groups of different propeller frequency correspondence difference water is set
Flow velocity degree and static group；
(3) correspondence group phytomass was determined per some days；
(4) phytomass and time chart are drawn；
(5) the Logistic equations with water velocity are built, equation isDescription correspondence plant
Upgrowth situation, wherein, N is the Biomass (g/ strains) of plant individual plant, and K is biological for the maximum plant individual plant that environmental condition can be allowed
Amount (g/ strains), a relevant with initial condition constant, t is growth time, and v is water velocity (m/s), and a, r, c are model parameter；
(6) N=Z, K=a, a=b, r=c, c=d, t=x, v=y are made, then equation is changed intoa、b、
C, d are model parameter；
(7) definite equation (2), and draw, with step (4) time as X-axis, flow velocity is Y-axis to measured value, and actual measurement Biomass is Z axis
Mapping, according to equation (2) regression analyses are carried out, and by the fitting of measured value regression equation coefficient, the value of a, b, c, d are obtained；
(8) bring a, b, c, d value into equation (2), obtain the result of variations of phytomass Biomass under the influence of water velocity.
2. a kind of method based on phytomass is predicted under different water velocities according to claim 1, its feature exists
In：Origin softwares are drawn used in step (4) and step (7).
3. a kind of method based on phytomass is predicted under different water velocities according to claim 1, its feature exists
In：Described plant is water caltrop.
4. a kind of method based on phytomass is predicted under different water velocities according to claim 3, its feature exists
In：In step (2), by adjustable screw oar frequency, 4 groups of water flow velocities of setting be respectively 0.05m/s, 0.1m/s, 0.15m/s,
0.20m/s, separately arranges static group as a control group.
5. according to claim 3 or 4 it is a kind of based under different water velocities predict phytomass method, its feature
It is：Each flow velocity experimental period is 30 days in step (3), and water caltrop biomass of individual tree was determined per six days.
6. a kind of method based on phytomass is predicted under different water velocities according to claim 5, its 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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