CN102129516A - Submerged plant restoration discrimination model and application thereof - Google Patents
Submerged plant restoration discrimination model and application thereof Download PDFInfo
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- CN102129516A CN102129516A CN2011100566839A CN201110056683A CN102129516A CN 102129516 A CN102129516 A CN 102129516A CN 2011100566839 A CN2011100566839 A CN 2011100566839A CN 201110056683 A CN201110056683 A CN 201110056683A CN 102129516 A CN102129516 A CN 102129516A
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Abstract
The invention relates to a submerged plant restoration discrimination method, which belongs to the fields of ecological restoration of water bodies, numerical simulation of water environments and water body landscape renovation. Theoretical conditions for the restoration discrimination of submerged plants in a river are constructed and quantitatively represented, underwater light intensity is determined as a dominant limiting factor for restoration, and sediments, water flows, nutritive salts, substrates and temperature are determined as durability factors to construct a submerged plant restoration discrimination function. The invention discloses a projection pursuit principle-based submerged plant restoration discrimination model.
Description
Technical field
The present invention relates to a kind of submerged plant and recover discrimination model and application thereof, belong to water ecology reparation, water environment numerical simulation and water landscape and transform the field.
Background technology
The restoration and reconstruction of aquatic vegetation are importances that river ecosystem recovers, and the plant community after the recovery can further improve the river ecological environmental quality, keeps the stability and the diversity of river aquatic system.Submerged plant has the spatial niche of increasing, improves illumination under water and dissolved oxygen conditions as the primary producer in the water ecosystem, and important ecological functions such as food, place are provided for food chain, is the basis that the water body bio-diversity is rely and kept.At present about the more existing researchs of submerged plant restoration and reconstruction, yet in the open air in the practice, submerged plant but often is difficult to large tracts of land and survives or form stable population or group, wherein one of major reason is the Study on Ecophysiological Characteristics of Narrow that people bias toward submerged plant, and has ignored the material impact of habitat conditions to its growth.Simultaneously, when carrying out the submerged plant restoration and reconstruction, take all factors into consideration this water body habitat feature, carry out the recovery of submerged plant and differentiate very shortage of research at a certain specific body of water.Habitat conditions under the field condition is complicated and changeable, and submerged plant growth is subjected to multinomial factor acting in conjunction again, and at the restoration and reconstruction initial stage, carry out necessary numerical value and differentiate, but the suitable zone that the preliminary screening submerged plant recovers, thus the open-air success ratio of recovering improved.
Summary of the invention
A kind of submerged plant recovers discrimination model, it is characterized in that model mainly by multiple-factor coupling numerical value emulation module, data analysis and processing module and as a result output module three parts form; Multiple-factor coupling numerical value emulation module is mainly used under different times, the different water yield give-and-take conditions, river current, suspension, nutritive salt, transparency, the dynamic changing process of light intensity, temperature carries out simulation and forecast under water, quantitatively grasp the Changing Pattern of the above-mentioned factor, the actual measurement sample results of the data based certain density of substrate is carried out piecewise linear interpolation and is got; Data analysis and processing module mainly are that every factor of the habitat numerical result is carried out system handles, according to each factor calculated value of various computing period, different conditions process submerged plant restricted function and durability factor combined influence function are found the solution; Consider the multi-dimensional nature of durability factor effect characteristics, adopt based on the projection pursuit model of real sign indicating number based accelerating genetic algorithm and carry out statistical study; Can output module based on restricted function and the patience factor of influence combined influence function calculation result of various computing period, realize that to each computing unit lattice submerged plant recovers to carry out comprehensive distinguishing and output mainly according to criterion as a result.
A kind of submerged plant recovers the application of discrimination model, its feature is making up river submerged plant recovery differentiation theoretical condition, determine that light intensity is the leading restriction factor of restoration and reconstruction under water, silt, current, nutritive salt, substrate, temperature are durability factor, different growth phase submerged plants are to the environmental resistance dynamic change, but each tolerance factor pair submerged plant combined influence degree of specific period should be in its tolerance limit, and any situation that surpasses tolerance limit then can not be recovered; The quantitatively characterizing submerged plant recovers the theoretical condition of differentiation, and it is as follows to make up submerged plant recovery discriminant function:
In the formula, M is under the field condition, and submerged plant recovers discriminant function; I is an open-air inland river intensity of illumination under water; K
1, K
2... K
5Represent open-air river concentration of suspension respectively, water flow disturbance intensity, water nutrition salinity, substrate pollution degree and temperature; F serves as reasons under water, and light intensity causes the submerged plant growth restricted function:
In the formula, I
0For satisfying the normal photosynthetic intensity of illumination of the different growth phases of submerged plant, i.e. light compensation point; G is consideration nutritive salt, suspension, and the combined influence function of every durability factors such as water flow disturbance intensity:
In the formula, P(K
1, K
2... K
5) be under the field condition, every durability factor is to the combined influence degree of eel grass growth, P
MinWith P
MaxBe respectively under the field condition eel grass to the lower limit and the upper limit tolerance value of every durability factor, P
MinWith P
MaxBetween span, be the tolerance limit of eel grass to envirment factor; Proposition recovers discrimination model based on the submerged plant of projection pursuit principle.
Description of drawings
Accompanying drawing 1 is that inland river submerged plant (eel grass) recovers to differentiate the theoretical condition synoptic diagram.
Accompanying drawing 2 recovers discrimination model basic framework figure for submerged plant.
Accompanying drawing 3 is that high flow year typical case phase inland river submerged plant recovers discriminant function result of calculation.
Accompanying drawing 4 is that normal flow year typical case phase inland river submerged plant recovers discriminant function result of calculation.
Accompanying drawing 5 is that low flow year typical case phase inland river submerged plant recovers discriminant function result of calculation.
Accompanying drawing 6 is that eel grass recovered regional distribution chart after improved in different typical cases year habitat, inland river
Embodiment
May realize that to a different typical cases year inland river eel grass recovers the zone and differentiates prediction, each was differentiated calculation interval in typical year and is respectively eel grass germination period and growth period.The differentiation zoning is the inland river.The base area graphic data is used gambit software it is divided into 2642 quadrilateral units grids, totally 2880 nodes, and average size of mesh opening is 50 * 50m.Carry out dynamic similation based on the factor of the habitat spatial and temporal variation of multiple-factor coupling numerical value emulation module after to different typical cases year, different times inland river water quantity regulation.According to numerical result, the utilization projection pursuit model is found the solution the submerged vegetation recovery discriminant score of different growth phases, the RAGA solution procedure adopts MATLAB6.0 programmed process data, at each judgement unit lattice, selected parent initial population scale n=400, crossover probability Pc=400, variation probability P m=0.8, the excellent individual number is chosen to be 20.Based on the period discriminant function result of calculation of respectively growing in each typical year, comprehensively determine the zone that the inland river eel grass may recover according to discriminant function.High flow year, normal flow year, the discriminant function result of calculation of different growing stage is seen accompanying drawing 3, accompanying drawing 4 and accompanying drawing 5 in each year in low flow year
In the formula, i is different typical case's years;
,
The corresponding typical case of expression year different growth phases recover the area judging result respectively;
A
iThe eel grass vitellarium that may recover for corresponding typical case year inland river; I represents that different phase is differentiated the result asks friendship.
According to discriminant function result of calculation, determine that accompanying drawing 6 is seen in the waters distribution of difference typical case year habitats, inland river improvement back eel grass restoration and reconstruction in the cards.The result shows: in different typical case's years, Yangtze River Water Saudi Arabia levies otherness and has caused inland river eel grass recovery area different; After improving, high flow year, normal flow year, habitat, low flow year inland river may realize that eel grass recovers region area and is respectively 0.67km
2, 1.06km
2And 1.01km
2, normal flow year recovers area has increased by 58.2% than the high flow year; Three typical cases year, eel grass recover the zone mainly concentrate on former in the south of the River, beach district, northern two sides because after the dredging of inland river substrate, water quantity regulation, improve obviously in this habitat, two waters, helps submerged plant growth; Inland river main flow area eel grass is difficult to recover, and its reason is that the water flow disturbance that causes of water yield exchange is strong, and Lai Shui initial sediment concentration in the Changjiang river directly influences bigger.
Claims (2)
1. a submerged plant recovers discrimination model, it is characterized in that model mainly by multiple-factor coupling numerical value emulation module, data analysis and processing module and as a result output module three parts form; Multiple-factor coupling numerical value emulation module is mainly used under different times, the different water yield give-and-take conditions, river current, suspension, nutritive salt, transparency, the dynamic changing process of light intensity, temperature carries out simulation and forecast under water, quantitatively grasp the Changing Pattern of the above-mentioned factor, the actual measurement sample results of the data based certain density of substrate is carried out piecewise linear interpolation and is got; Data analysis and processing module mainly are that every factor of the habitat numerical result is carried out system handles, according to each factor calculated value of various computing period, different conditions process submerged plant restricted function and durability factor combined influence function are found the solution; Consider the multi-dimensional nature of durability factor effect characteristics, adopt based on the projection pursuit model of real sign indicating number based accelerating genetic algorithm and carry out statistical study; Can output module based on restricted function and the patience factor of influence combined influence function calculation result of various computing period, realize that to each computing unit lattice submerged plant recovers to carry out comprehensive distinguishing and output mainly according to criterion as a result.
2. application that submerged plant recovers discrimination model, its feature is making up river submerged plant recovery differentiation theoretical condition, determine that light intensity is the leading restriction factor of restoration and reconstruction under water, silt, current, nutritive salt, substrate, temperature are durability factor, different growth phase submerged plants are to the environmental resistance dynamic change, but each tolerance factor pair submerged plant combined influence degree of specific period should be in its tolerance limit, and any situation that surpasses tolerance limit then can not be recovered; The quantitatively characterizing submerged plant recovers the theoretical condition of differentiation, and it is as follows to make up submerged plant recovery discriminant function:
In the formula, M is under the field condition, and submerged plant recovers discriminant function; I is an open-air inland river intensity of illumination under water; K
1, K
2... K
5Represent open-air river concentration of suspension respectively, water flow disturbance intensity, water nutrition salinity, substrate pollution degree and temperature; F serves as reasons under water, and light intensity causes the submerged plant growth restricted function:
In the formula, I
0For satisfying the normal photosynthetic intensity of illumination of the different growth phases of submerged plant, i.e. light compensation point; G is consideration nutritive salt, suspension, and the combined influence function of every durability factors such as water flow disturbance intensity:
In the formula, P(K
1, K
2... K
5) be under the field condition, every durability factor is to the combined influence degree of eel grass growth, P
MinWith P
MaxBe respectively under the field condition eel grass to the lower limit and the upper limit tolerance value of every durability factor, P
MinWith P
MaxBetween span, be the tolerance limit of eel grass to envirment factor; Proposition recovers discrimination model based on the submerged plant of projection pursuit principle.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621283A (en) * | 2011-09-02 | 2012-08-01 | 中国环境科学研究院 | Technical method for rapid evaluation of water quality in Haihe River basin through submerged plants |
| CN103714432A (en) * | 2013-12-30 | 2014-04-09 | 南京大学 | Method for predicating biomass of submerged plant by establishing growth simulation model |
| CN110221024A (en) * | 2019-04-18 | 2019-09-10 | 天津科技大学 | A kind of simulated environment detection system |
| CN113516083A (en) * | 2021-07-19 | 2021-10-19 | 中国农业科学院草原研究所 | Ecological restoration modeling method for vegetation in abandoned farmland in grassland area |
-
2011
- 2011-03-10 CN CN2011100566839A patent/CN102129516A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621283A (en) * | 2011-09-02 | 2012-08-01 | 中国环境科学研究院 | Technical method for rapid evaluation of water quality in Haihe River basin through submerged plants |
| CN103714432A (en) * | 2013-12-30 | 2014-04-09 | 南京大学 | Method for predicating biomass of submerged plant by establishing growth simulation model |
| CN103714432B (en) * | 2013-12-30 | 2017-02-15 | 南京大学 | Method for predicating biomass of submerged plant by establishing growth simulation model |
| CN110221024A (en) * | 2019-04-18 | 2019-09-10 | 天津科技大学 | A kind of simulated environment detection system |
| CN113516083A (en) * | 2021-07-19 | 2021-10-19 | 中国农业科学院草原研究所 | Ecological restoration modeling method for vegetation in abandoned farmland in grassland area |
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Application publication date: 20110720 |