CN116090229A - Lake eutrophication organism control method, system and medium based on EwE model - Google Patents
Lake eutrophication organism control method, system and medium based on EwE model Download PDFInfo
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Abstract
The invention provides a method, a system and a medium for manipulating lake eutrophication organisms based on a EwE model, wherein the method comprises the following steps: acquiring original biological data of a target lake, wherein the original biological data comprises biomass data and fishing amount data; inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result, wherein the Ecopath simulation result comprises function group parameters, an ecosystem characteristic value and an ecosystem maturity; performing ecological simulation on the target lake by using an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, wherein the biological manipulation method at least comprises a forced biomass and fishing amount rule; and inputting the corresponding simulation biological data in the Ecosim simulation result into an Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to a user terminal. The invention can ensure the stability of the lake ecosystem by simulating the biological control results under different lake ecosystems to allow the user to select the biological control scheme.
Description
Technical Field
The invention relates to the technical field of data processing and lake ecological restoration, in particular to a method, a system and a medium for operating lake eutrophication organisms based on a EwE model.
Background
Eutrophication of lakes refers to the phenomenon that algae rapidly proliferate due to excessive nutrient substances such as nitrogen, phosphorus and the like in lakes, water quality of water is deteriorated, and fishes and other organisms die in a large amount. This phenomenon can have serious effects on fishery, aquatic ecology, and even human health. Lake eutrophication involves a series of biological, chemical and physical changes, the mechanism of action and evolution of which are very complex.
At present, the treatment for the lake eutrophication comprises physical methods such as physical algae removal, artificial aeration, diversion, turbidity removal and the like; chemical methods such as chemical algae removal, chemical fixation and the like, and biological methods such as phytoremediation, microbial remediation, animal remediation, compound biological remediation and the like. Although the lake biological manipulation technology in the present stage is widely applied at home and abroad, the geographical positions, current ecological system structures and catching conditions of different lakes are obviously different, and the specific manipulation methods (such as throwing or catching types, time and quantity) are mostly obtained by experience of implementation personnel or reference to other regional cases or documents, so that a targeted solution cannot be provided for the target lake. In addition, in the application of biological manipulation technology, the change of the ecological system structure is a long-term process, and the change condition of the lake ecological system in the future years needs to be considered when determining the treatment scheme, so that the treatment time is shortened, and the engineering cost is reduced.
Disclosure of Invention
The invention aims to provide a method, a system and a medium for controlling lake eutrophication organisms based on a EwE model, which are used for solving the problem of biological regulation and control of the eutrophication lakes.
In a first aspect, the present application provides a method for manipulating a lake eutrophication organism based on a EwE model, the method comprising:
acquiring original biological data of a target lake, wherein the original biological data comprises biomass data and fishing amount data;
inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result, wherein the Ecopath simulation result comprises function group parameters, an ecosystem characteristic value and an ecosystem maturity;
performing ecological simulation on the target lake by using an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, wherein the biological manipulation method at least comprises a forced biomass and fishing amount rule;
and inputting the corresponding simulation biological data in the Ecosim simulation result into an Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to a user terminal.
The method comprises the steps of obtaining original biological data input by a user side, constructing an ecological system network based on the original biological data by utilizing an Ecopath model, analyzing the overall characteristics and maturity of the lake primary productivity reduction requirement and the ecological system, and determining a biological control object; the method is characterized in that a time sequence of operating species is established by adopting a method of forced biomass and capturing amount, forced biomass measures are adopted for the release of the species to be proliferated, forced capturing amount measures are adopted for the species to be restrained, an ecosystem which dynamically changes along with time is simulated by combining an Ecosim model, the eutrophication degree and the maturity of the ecosystem after operation are evaluated by using an Ecopath, and a simulation result is output to a user side, so that the user can select a quantitative operating scheme which is most suitable for the current lake, different biological operating controls can be realized according to different lakes, and the stability of the ecosystem corresponding to different lakes is ensured.
In one possible implementation manner of the application, inputting the original biological data into an ecoath model to obtain an ecoath simulation result specifically includes:
inputting the biomass data and the fishing amount data into the Ecopath model for simulation to obtain functional group parameters, ecosystem characteristic values and ecosystem maturity, wherein,
the functional group parameters comprise P/B, Q/B, EE and UC, wherein P is production data, B is biomass data, Q is consumption data, EE is a biological nutrition conversion efficiency value, and UC is an unassimilated quantity;
the ecological system characteristic value at least comprises an ecological system food network structure, key seed data, a model reliability index and a system flow value;
the ecosystem maturity includes at least a connectivity index, a omnivora index, and a Finn's cycle index.
In one possible implementation manner of the application, the ecological simulation is performed on the target lake by using an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, which specifically includes:
obtaining the adjustment data of the target function group in the target lake and the setting data of the fishing time sequence, wherein,
adjusting the number value of the target functional group based on the adjustment data, and setting a forced biomass time sequence to perform intermittent forced biomass operation;
and setting the fishing time based on the setting data so as to perform forced fishing amount operation in the fishing time.
In one possible implementation of the present application, the method further includes determining based on the ecosystem food network structure and the target function group, wherein the target function group is added to the raw biological data if the target function group is not in the ecosystem food network structure.
In one possible implementation of the application, the method further includes obtaining a preliminary biological manipulation scheme input by the user side, wherein the preliminary biological manipulation scheme includes at least classical biological manipulation, non-classical biological manipulation, and compound biological manipulation, and different preliminary biological manipulation schemes correspond to different proportions of the forced biomass operation.
In one possible implementation manner of the method, when the forced biomass and the forced fishing amount are operated in the fishing time, different control groups are set based on the throwing fishing increment value, so that the inflection point of the removal rate is obtained by screening. .
In one possible implementation of the application, the method further comprises obtaining a raw set of functions of the water ecosystem of the target lake, wherein the raw set of functions comprises a single species or at least two species.
In a second aspect, the present application provides a lake eutrophication biological manipulation system based on EwE model, the lake eutrophication biological manipulation system based on EwE model includes:
the acquisition module is used for acquiring the original biological data of the target lake, wherein the original biological data comprises biomass data and fishing amount data;
the input module is used for inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result, wherein the Ecopath simulation result comprises function group parameters, an ecosystem characteristic value and an ecosystem maturity;
the simulation module is used for carrying out ecological simulation on the target lake by utilizing an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, wherein the biological manipulation method at least comprises a forced biomass and fishing quantity rule;
and the updating module is used for inputting the corresponding simulation biological data in the Ecosim simulation result into the Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to the user side.
In a third aspect, the present application provides a computer readable storage medium as described above, on which is stored a computer program which, when executed by a processor, implements the method for manipulating a lake eutrophication organism based on the EwE model.
In a fourth aspect, the present application provides an electronic device as described above, including: a processor and a memory; wherein the memory is used for storing a computer program, and the processor is used for loading and executing the computer program so as to enable the electronic equipment to execute the lake eutrophication organism manipulation method based on the EwE model.
As described above, the method, the system and the medium for operating the lake eutrophication organisms based on the EwE model are characterized in that the Ecopath model is utilized to construct a lake ecosystem network, the overall characteristics and the maturity of the lake primary productivity reduction requirements and the ecosystem are analyzed, the organism operating object is determined, the time sequence of operating species is established by utilizing the method of forced biomass and the fishing amount, and the ecosystem which dynamically changes along with time is simulated by combining the Ecosam model, so that the eutrophication degree and the maturity of the lake ecosystem after the organism operation are evaluated again by utilizing the Ecopath model after the simulation time is finished, the organism operating results under different lake ecosystems are simulated, and the results are output to users, so that the users can select the most reasonable organism operating scheme to ensure the stability of the lake ecosystem.
Drawings
FIG. 1 is a schematic diagram showing an example of a method for manipulating a lake eutrophication organism based on EwE model according to the present invention;
FIG. 2 is a schematic diagram of input and output of an Ecopath model in an embodiment of the method for manipulating lake eutrophication organisms based on the EwE model according to the invention;
FIG. 3 is a schematic diagram showing the steps of a method for manipulating a lake eutrophication organism based on EwE model according to the present invention in still another embodiment;
FIG. 4 is a schematic diagram showing the steps of a method for manipulating a lake eutrophication organism based on EwE model according to the present invention in still another embodiment;
FIG. 5 is a schematic diagram showing the inflection point of the removal rate of the lake eutrophication organism operating method based on the EwE model according to the present invention;
FIG. 6 is a diagram showing the structure of a food network and energy flow diagram of an embodiment of the method for manipulating a lake eutrophication organism based on model EwE of the present invention;
FIG. 7 is a schematic diagram of a system for manipulating a lake eutrophication organism based on model EwE according to one embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Description of element reference numerals
S202 to S208
S402 to S406 steps
70. Lake eutrophication biological control system based on EwE model
71. Acquisition module
72. Input module
73. Simulation module
74. Update module
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
As shown in FIG. 1, a scenario application diagram of a method for operating a lake eutrophication organism based on a EwE model is illustrated in the application, wherein a EwE (Ecopath with Ecosim) model can evaluate the problems of space-time variation of the structure and the function of an aquatic ecosystem, the influence of fishing on the ecosystem and the like by establishing a nutrition relation among functional groups, including an Ecopath model, an Ecosam model and an Ecopace model, firstly, lake biological data acquired by a user are acquired, the characteristics of the corresponding ecosystem and the maturity of the ecosystem of the lake are obtained by utilizing the Ecopath model, the organisms in the lake are operated by adopting a forced biomass and a fishing amount method based on the Ecopam model, and the operated result is again simulated by utilizing the Ecopath model to obtain the characteristics of the biological system and the maturity of the biological system which are output to the user for selecting the corresponding biological operation scheme, so that different biological operation results under different lake ecological systems can be simulated for the user to select the biological operation scheme required by the user, and the purpose of ensuring the stability of the lake ecological system, thereby reducing the pollution of the lake or the occurrence of the ecological damage condition of the lake.
Referring to fig. 2, in an embodiment of the invention, the method for manipulating lake eutrophication organisms based on EwE model of the invention comprises the following steps:
step S202, obtaining original biological data of a target lake, wherein the original biological data comprises biomass data and fishing amount data;
step S204, inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result, wherein the Ecopath simulation result comprises function group parameters, an ecosystem characteristic value and an ecosystem maturity;
step S206, performing ecological simulation on the target lake by using an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, wherein the biological manipulation method at least comprises a forced biomass and fishing quantity rule;
step S208, inputting the corresponding simulation biological data in the Ecosim simulation result into an Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to the user terminal.
It should be noted that, as shown in fig. 3, inputting the raw biological data into an Ecopath model to obtain an Ecopath simulation result specifically includes:
inputting the biomass data and the fishing amount data into the Ecopath model for simulation to obtain functional group parameters, ecosystem characteristic values and ecosystem maturity;
the functional group parameters comprise P/B, Q/B, EE and UC, wherein P is production data, B is biomass data, Q is consumption data, EE is a biological nutrition conversion efficiency value, and UC is an unassimilated quantity;
the ecological system characteristic value at least comprises an ecological system food network structure, key seed data, a model reliability index and a system flow value;
the ecosystem maturity includes at least a connectivity index, a omnivora index, and a Finn's cycle index.
It should be noted that, in general, the Ecopath model simulation results in an ecological nutrition transformation efficiency value EE with a value range of (0, 1), and the biomass data B can be obtained through user investigation, the unassimilated amount is obtained by the other P/B, Q/B user through the literature or the fishbase. Org website, UC (Unassimilated Consumption), and the ecosystem characteristic values include the ecosystem food network structure, the energy conversion efficiency, the mixed nutrition effect, the critical seed data, the model reliability Index, and the system flow value, and the ecosystem maturity includes at least the connection Index CI (Connectance Index), the omnivorous Index SOI (System Omnivory Index), and the Finn's cycle Index FCI (Finn's cycle Index).
Further, in an embodiment of the invention, as shown in fig. 4, the ecological simulation is performed on the target lake by using an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, which specifically includes the following steps:
step S402, obtaining adjustment data of a target function group in the target lake and setting data of a capturing time sequence;
step S404, adjusting the number value of the target function group based on the adjustment data, and setting a forced biomass time sequence to perform intermittent forced biomass operation;
step S406, setting the catching time based on the setting data so as to perform forced catching amount operation in the catching time.
Specifically, the obtained original biological data of the target lake is input by a user side, and accordingly, the user needs to collect corresponding data before inputting, wherein the user selects the most suitable method from classical biological manipulation, non-classical biological manipulation, compound biological manipulation and other methods according to factors such as water quality, depth, area and phytoplankton dominant species of the target lake, so as to determine the species used for biological manipulation, and accordingly, the method further comprises obtaining a preliminary biological manipulation scheme input by the user side, wherein the preliminary biological manipulation scheme at least comprises classical biological manipulation, non-classical biological manipulation and compound biological manipulation, and different preliminary biological manipulation schemes correspond to different proportions of forced biomass operations, and in the actual operation process, the different proportions of forced biomass are pertinently adjusted according to the preliminary biological manipulation scheme selected by the user. In addition, the user also needs to determine the original set of functions of the ecosystem in the target lake for biological manipulation, for example: the method further comprises obtaining an original functional group of the water ecosystem of the target lake, wherein the original functional group comprises a single species or at least two species.
Further, in an embodiment of the invention, after the ecosystem feature value is obtained, the method further includes determining based on the ecosystem food network structure and the target function group, where if the target function group is not in the ecosystem food network structure, the target function group is added to the raw biological data.
It should be noted that, whether the target functional group is in the ecosystem food network structure is determined, if not, the target functional group needs to be added to the original biological data and re-simulated by using an Ecopath model to update the ecosystem food network structure, wherein adding a new species (target functional group) needs to scale up and down part of parameters to ensure stability of nutritional relationships in the target lake, taking the required new species as an independent functional group, inputting biomass data B, P/B (throughput data/biomass data), Q/B (consumption data/biomass data), and an edible matrix DC (Diet Composition) of the new species, wherein the biomass data B takes "1/1000" of the biomass to be put in when the biological manipulation is taken as an initial biomass, and predators who manipulate the species in the Ecopath matrix DC also scale down the edible contribution of the manipulated species, and synchronously scale up predators to other predators so that the sum of the proportions is "1", thereby ensuring rationality of the search after adding the target functional group in the Ecopath model.
Further, in an embodiment of the invention, the method further includes setting different control groups based on the input of the fishing increment value when the forced biomass and the forced fishing amount are operated in the fishing time, so as to obtain the inflection point of the removal rate from the screening.
It should be noted that, the adjustment data and the capturing time sequence are selected by the user to input, specifically, the number value of the target functional group is adjusted based on the adjustment data, for example, the target functional group is added as a new functional group, intermittent biomass forcing is performed in a simulation period, the biomass time sequence is set to simulate the behavior of the biological manipulation species regulated and controlled by defining the detection target biomass in the actual biological manipulation process, accordingly, if the biomass of some functional groups needs to be reduced, forced capturing operation is performed, the capturing time is set by the setting data, forced capturing operation is performed in the capturing time to reduce the biomass of the corresponding functional groups, accordingly, a plurality of groups of simulation results can be generated by using an Ecosim model by setting different control groups based on the capturing increment value, so as to obtain a turning point diagram of the removal rate-throwing amount/capturing amount, as shown in fig. 5, and the removal rate turning point diagram is obtained by screening and identifying.
Further, in an embodiment of the invention, taking the bassinet lake as the target lake as an example, the method for operating the lake eutrophication organisms based on the EwE model provided by the application is described, wherein a user judges that the bassinet lake is in a medium eutrophication state according to water quality monitoring data, and in phytoplankton, the biomass of blue algae, green algae and diatoms is large; area of Xuanwu lake "3.78km 2 As the water depth of the lake body is about 2m, the Xuanwu lake is a lake with large algae and small algae, the applicable conditions are between classical biological manipulation and non-classical biological manipulation, and the embodiment takes a compound biological operation method (filter feeding fishes and phytophagous zooplankton) as an example for simulation.
Specifically, the filter feeding fishes silver carp, bighead carp, phytophagous zooplankton branch angles and copepods are considered in the current situation of the Xuan lake, so that a new functional group is not required to be added. Determining a corresponding original functional group and original biological data according to the ecological monitoring result of the Xuanwu lake, and inputting the original functional group and the original biological data into an Ecopath model, as shown in table 1:
TABLE 1 original functional group of the ecosystem of the Xuanwu lake
The parameters of each functional group input by the user, including, for example, biomass data B, P/B (throughput data/biomass data), Q/B (consumption data/biomass data), are acquired to simulate based on the Ecopath model to obtain the econutritional conversion efficiency value EE, and accordingly, the simulated functional group parameters are shown in table 2:
TABLE 2 functional group parameter Table of the ecological systems of the Xuanwu lakes
Further, the feeding matrices of the Ecopath model of the Xuanwu lake are shown in Table 3:
TABLE 3 edible matrix of Ecopath model of the Xuanwu lake
Further, as shown in fig. 6, the bermuda lake ecosystem forms a plurality of food chains starting from blue algae, green algae, diatoms, other algae and debris, the circle size represents the relative size of biomass, the line represents predation relationship and energy flow path, and the nutritional level of the functional group can be represented by its longitudinal height. It is known that primary producers and detritus are in a first nutrient level, zooplankton are in a second nutrient level, benthonic animals, fish are in a second to third nutrient level.
And obtaining the characteristic value and the maturity of the ecosystem of the Xuanwu lake based on the Ecopath simulation result, as shown in Table 4:
TABLE 4 characteristic values of the ecosystem of the Xuanwu lake and maturity of the ecosystem
As can be seen from Table 5, the total primary productivity/total respiration rate (TPP/TR) is much greater than "1", indicating a large proportion of unutilized productivity in the ecosystem of the Xuan lake, which can be curtailed by biological manipulation, and the target lake is ecologically simulated by using the Ecosim model based on forced biomass and fishing method, wherein the economic benefit of the fishery is not required, and the regulation target is phytoplankton biomass and the overall maturity of the ecosystem, so that the biomass can be maintained in a certain specific range regardless of the growth and propagation of the regulated species and the annual fishing, the workload of the model setting is greatly reduced, and the density of the silver carp and the bighead carp is set to be 10g/m in the time sequence of the Ecosim model 3 ～70g/m 3 "as regulatory region, 10g/m 3 "set up simulation scheme for increment; zooplankton biomass of the genus Cladosporium and the genus Coprinus at a rate of 3g/m 3 "as an initial value, at" 0.5g/m 3 "set up simulation scheme for increment, stop calculating when simulation result of rerun Ecopath model is wrong, it is stated that this setting breaks the ecological system balance.
Further, the user sets the vulnerability parameter v according to the principle rule that the vulnerability and the nutrition level are positively correlated, wherein the value range of v is 15-40, the vulnerability parameter v represents the increasing degree of death of the predators with the increasing number of the predators, the higher the value (such as 100), the lower the value (such as 1), the less the death rate of the predators is nearly doubled, and the increase of the biomass of the predators has almost no direct influence on the biomass of the prey.
Through setting different control groups to perform Ecosim simulation for ' 10 ' years, observing phytoplankton removal effect and ecosystem maturity and stability corresponding to proliferation and release conditions of different functional groups when the compound organism is operated, a user can screen out a required biological operation scheme in different control groups to complete the organism operation of the Xuanwu lake, and when adopting a ' forced biomass method ' simulated proliferation and release measure, the density of silver carp, bighead carp, cladocera and copepod zooplankton reaches ' 35g/km 2 ”、“15g/km 2 "and" 4g/km 2 When the method is used, the reduction percentages of blue algae, green algae and diatom reach 15%, 8% and 7%, respectively, which shows that the corresponding biological control scheme has better control effect on large-sized and small-sized algae; TPP/TR is greatly reduced from '54.158' to '4.005', which indicates that the unutilized primary production rate in the ecological system of the Xuan lake is reduced compared with that of the traditional ecological system, namely phytoplankton is obviously reduced, and the biological manipulation achieves better eutrophication treatment effect. The effect of biological manipulation on only silver carp and bighead carp or only zooplankton such as cladocera and copepod is verified by taking the example of the Xuan lake, and the situation that the reproduction of blue algae can be inhibited to a certain extent by only setting a 'forced biomass time sequence' on the silver carp and bighead carp is discovered, and the silver carp and bighead carp can inhibit zooplankton and simultaneously slow down the ingestion of green algae and diatom by the zooplankton, so that the eutrophication phenomenon can be aggravated to a certain extent; however, the provision of the "forced biomass time series" only for zooplankton can suppress green algae and diatom to some extent, but it causes mass reproduction of fish feeding on the zooplankton, and is difficult to control. By combining the above factors, the biological control mode which is more suitable for the Xuan lake is confirmed to be comprehensive utilization of the existing silver carp and bighead carp and zooplankton in the lake, the throwing density ratio is controlled to reach a reasonable value, and the stability of an ecological system is ensured while the algae control effect is maximized.
In addition, the embodiment of the application also provides a lake eutrophic organism operating system based on a EwE model, which can realize the lake eutrophic organism operating method based on a EwE model described in the application, but the realizing device of the lake eutrophic organism operating method based on a EwE model described in the application comprises, but is not limited to, the structure of the lake eutrophic organism operating system based on a EwE model listed in the embodiment, and all the structural modifications and substitutions of the prior art made according to the principles of the application are included in the protection scope of the application.
Referring to fig. 7, in one embodiment, a system 70 for manipulating a lake eutrophication organism based on a EwE model is provided, the system comprising:
an acquisition module 71, configured to acquire raw biological data of a target lake, where the raw biological data includes biomass data and fishing amount data;
an input module 72, configured to input the raw biological data into an ecoath model to obtain an ecoath simulation result, where the ecoath simulation result includes a functional group parameter, an ecosystem feature value, and an ecosystem maturity;
a simulation module 73, configured to perform ecological simulation on the target lake by using an ecoim model based on a preset biological manipulation method to obtain an ecoim simulation result, where the biological manipulation method at least includes a forced biomass and a fishing amount rule;
and the updating module 74 is used for inputting the corresponding simulation biological data in the Ecosim simulation result into the Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to the user side. Since the specific implementation manner of this embodiment corresponds to the foregoing method embodiment, the same details will not be repeated herein, and it should also be understood by those skilled in the art that the division of each module in the embodiment of fig. 7 is merely a division of a logic function, and all or part of the modules may be integrated onto one or more physical entities in actual implementation, and all of the modules may be implemented in a form of calling by a processing element through software, or may be implemented in a form of hardware, or may be implemented in a form of calling by a processing element through part of the modules, or may be implemented in a form of hardware.
Referring to fig. 8, the present embodiment provides an electronic device, which includes at least: the system comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory so as to execute all or part of the steps in the embodiment of the method.
In summary, the invention utilizes the Ecopath model to construct a lake ecosystem network, analyzes the overall characteristics and maturity of the lake primary productivity reduction requirement and the ecosystem, determines a biological control object, utilizes a 'forced biomass and fishing amount' method to establish a control species time sequence, combines the Ecopath model to simulate the ecological system which dynamically changes along with time, further utilizes the Ecopath model to evaluate the eutrophication degree and maturity of the lake ecosystem after biological control after the simulation time is finished, simulates biological control results under different lake ecosystems, and outputs the results to users so that the users can select the most reasonable biological control scheme to ensure the stability of the lake ecosystem.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, or methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules/units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or units may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules or units, which may be in electrical, mechanical or other forms.
The modules/units illustrated as separate components may or may not be physically separate, and components shown as modules/units may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules/units may be selected according to actual needs to achieve the purposes of the embodiments of the present application. For example, functional modules/units in various embodiments of the present application may be integrated into one processing module, or each module/unit may exist alone physically, or two or more modules/units may be integrated into one module/unit.
Those of ordinary skill would further appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
Embodiments of the present application also provide a computer-readable storage medium. Those of ordinary skill in the art will appreciate that all or part of the steps in the method implementing the above embodiments may be implemented by a program to instruct a processor, where the program may be stored in a computer readable storage medium, where the storage medium is a non-transitory (non-transitory) medium, such as a random access memory, a read only memory, a flash memory, a hard disk, a solid state disk, a magnetic tape (magnetic tape), a floppy disk (floppy disk), an optical disk (optical disk), and any combination thereof. The storage media may be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
Embodiments of the present application may also provide a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the processes or functions described in accordance with the embodiments of the present application are produced in whole or in part. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.).
The computer program product is executed by a computer, which performs the method according to the preceding method embodiment. The computer program product may be a software installation package, which may be downloaded and executed on a computer in case the aforementioned method is required.
The descriptions of the processes or structures corresponding to the drawings have emphasis, and the descriptions of other processes or structures may be referred to for the parts of a certain process or structure that are not described in detail.
The foregoing embodiments are merely illustrative of the principles of the present application and their effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those of ordinary skill in the art without departing from the spirit and scope of the present application. Accordingly, it is intended that all equivalent modifications and variations which may be accomplished by persons skilled in the art without departing from the spirit and technical spirit of the disclosure be covered by the claims of this application.
Claims (10)
1. A method for manipulating lake eutrophication organisms based on a EwE model, which is characterized by comprising the following steps:
acquiring original biological data of a target lake, wherein the original biological data comprises biomass data and fishing amount data;
inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result, wherein the Ecopath simulation result comprises function group parameters, an ecosystem characteristic value and an ecosystem maturity;
performing ecological simulation on the target lake by using an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, wherein the biological manipulation method at least comprises a forced biomass and fishing amount rule;
and inputting the corresponding simulation biological data in the Ecosim simulation result into an Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to a user terminal.
2. The method for manipulating lake eutrophication organisms based on the EwE model according to claim 1, wherein the step of inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result comprises the following steps:
inputting the biomass data and the fishing amount data into the Ecopath model for simulation to obtain functional group parameters, ecosystem characteristic values and ecosystem maturity, wherein,
the functional group parameters comprise P/B, Q/B, EE and UC, wherein P is production data, B is biomass data, Q is consumption data, EE is a biological nutrition conversion efficiency value, and UC is an unassimilated quantity;
the ecological system characteristic value at least comprises an ecological system food network structure, key seed data, a model reliability index and a system flow value;
the ecosystem maturity includes at least a connectivity index, a omnivora index, and a Finn's cycle index.
3. The method for manipulating a lake eutrophication organism based on the EwE model according to claim 2, wherein the ecological simulation of the target lake by using the Ecosim model based on the preset biological manipulation method is performed to obtain an Ecosim simulation result, and specifically comprises the following steps:
acquiring adjustment data of a target functional group in the target lake and setting data of a capturing time sequence, wherein the quantity value of the target functional group is adjusted based on the adjustment data, and a forced biomass time sequence is set to perform intermittent forced biomass operation;
and setting the fishing time based on the setting data so as to perform forced fishing amount operation in the fishing time.
4. The EwE model-based lake eutrophic biological manipulation method of claim 3 further comprising determining based on the ecosystem food network structure and the target functional group, wherein the target functional group is added to the raw biological data if the target functional group is not in the ecosystem food network structure.
5. The EwE model-based lake eutrophication biological manipulation method of claim 3 further comprising obtaining a preliminary biological manipulation scheme inputted by a user side, wherein the preliminary biological manipulation scheme includes at least classical biological manipulation, non-classical biological manipulation, and compound biological manipulation, and different preliminary biological manipulation schemes correspond to different proportions of the forced biomass operations.
6. The method according to claim 3, further comprising setting different control groups based on the input fishing increment value to screen out the removal rate inflection point when the forced biomass and the forced fishing amount are operated in the fishing time.
7. A method of operating a lake eutrophication organism based on the EwE model of claim 3 further comprising obtaining a raw set of functions of the water ecosystem of the target lake, wherein the raw set of functions comprises a single species or at least two species.
8. A EwE model-based lake eutrophication biological control system, comprising:
the acquisition module is used for acquiring the original biological data of the target lake, wherein the original biological data comprises biomass data and fishing amount data;
the input module is used for inputting the original biological data into an Ecopath model to obtain an Ecopath simulation result, wherein the Ecopath simulation result comprises function group parameters, an ecosystem characteristic value and an ecosystem maturity;
the simulation module is used for carrying out ecological simulation on the target lake by utilizing an Ecosim model based on a preset biological manipulation method to obtain an Ecosim simulation result, wherein the biological manipulation method at least comprises a forced biomass and fishing quantity rule;
and the updating module is used for inputting the corresponding simulation biological data in the Ecosim simulation result into the Ecopath model to update the Ecopath simulation result, and outputting the updated Ecopath simulation result to the user side.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method for manipulating lake eutrophication organisms based on the EwE model according to any one of claims 1 to 7.
10. An electronic device, the electronic device comprising: a processor and a memory; wherein the memory is for storing a computer program and the processor is for executing the computer program stored by the memory to cause the electronic device to perform the EwE model-based lake eutrophication biological manipulation method of any one of claims 1 to 7.
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