CN115965295B - Wetland ecosystem monitoring method, computer equipment and storage medium - Google Patents
Wetland ecosystem monitoring method, computer equipment and storage medium Download PDFInfo
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Abstract
The invention is applicable to the field of ecological system monitoring, and provides a wetland ecological system monitoring method, computer equipment and a storage medium, wherein the monitoring method comprises the following steps: receiving monitoring indexes of ecological factors, wherein the ecological factors represent ecological characteristics of the wetland ecosystem; determining the change degree of the ecological factors according to the monitoring indexes of the ecological factors; and determining an early warning level of the wetland ecosystem according to the change degree of each ecological factor, wherein the early warning level is used for guiding a management strategy. The condition of the whole wetland ecosystem is determined by carrying out targeted monitoring on each ecological factor and comprehensively considering the variation degrees of different ecological factors, so that the corresponding early warning level is conveniently determined; the method and the system consider the variation degree of a plurality of ecological factors at the same time, so that the variation trend of the wetland ecological system is easier to grasp, the wetland ecological system can send out early warning when the variation is small, and the wetland ecological system is better protected.
Description
Technical Field
The present invention relates to the field of ecological system monitoring, and in particular, to a method for monitoring an ecological system of a wetland, a computer device, and a storage medium.
Background
Wetland refers to natural or artificial, permanent or temporary marshlands, peat lands or water areas, which hold stationary or flowing, fresh water, brackish or salty water bodies, including sea areas with water depths of no more than 6 meters at low tide. The wetland not only can provide food and other industrial and agricultural raw materials, but also is a life support system for supporting and maintaining earth circulation. The wetland ecosystem is accompanied by material circulation and energy conversion processes under the action of the components, and provides various requirements for human beings. The total area of the wetlands in the world exceeds 12.80 hundred million hectares, the Chinese rank is fourth, the total area of the wetlands is 5360.26 ten thousand hectares, and the wet land rate is 5.58% [ national second wet land resource investigation ]. Wherein the natural wetland area is 4667.47 ten thousand hectares and occupies 87.37 percent of the wetland area; the artificial wetland area is 674.59 ten thousand hectares and accounts for 12.63% of the wetland area. 2312 kinds of wetland vertebrates, 1763 kinds of fishes, 327 kinds of wetland water birds and 4220 kinds of higher plants are distributed. Wetland is the most productive ecosystem, is used as a fresh water resource carrier and a unique habitat under the action of an amphibious environment, and is 6% of the global land area, and provides 14.7% of the total service value of the global ecosystem and 45% of the total natural capital value. The protection of the wetland ecosystem is well done, and the sustainable development of socioeconomic performance and the national ecological safety are related.
Wetland protection and management requirements are aimed at maintaining its ecological characteristics healthy. In order to protect the wetland ecosystem and maintain the ecological characteristics thereof, various threats to the wetland ecosystem caused by human activities and the continuous change of the wetland ecosystem are dealt with, and flexible adaptive management methods are adopted for the management of the wetland.
The monitoring purpose of the wetland ecosystem is to grasp the state and the change trend of the wetland ecological characteristics and examine the execution progress of management actions, and provide data support for evaluating the realization degree of management targets and the effectiveness of management activities, thereby providing basis for adjustment of the management targets and update of management plans. The existing wetland ecosystem monitoring and management method focuses on monitoring specific indexes of ecological factors, and corresponding management methods are implemented only when the index data of a certain ecological factor changes obviously through analysis of the index data of the ecological factors by monitoring staff.
The existing ecological monitoring system has higher delay and great dependence on people.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a wetland ecosystem monitoring method, a computer device, and a storage medium.
In one embodiment, a method of monitoring a wetland ecosystem is provided, the method comprising:
receiving monitoring indexes of ecological factors, wherein the ecological factors represent ecological characteristics of the wetland ecosystem;
determining the change degree of the ecological factors according to the monitoring indexes of the ecological factors;
and determining an early warning level of the wetland ecosystem according to the change degree of each ecological factor, wherein the early warning level is used for guiding a management strategy.
A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the above-described wetland ecosystem monitoring method.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes the processor to perform the steps of the above-described wetland ecosystem monitoring method.
According to the wetland ecosystem monitoring method, the device, the computer equipment and the storage medium, the condition of the whole wetland ecosystem is determined by carrying out targeted monitoring on each ecological factor and comprehensively considering the variation degrees of different ecological factors, so that the corresponding early warning level is conveniently determined; the method and the system consider the variation degree of a plurality of ecological factors at the same time, so that the variation trend of the wetland ecological system is easier to grasp, the wetland ecological system can send out early warning when the variation is small, and the wetland ecological system is better protected.
Drawings
FIG. 1 is a flow chart of a method of wetland ecosystem monitoring provided in one embodiment;
FIG. 2 is a flow chart of a method of wetland ecosystem monitoring provided in another embodiment;
FIG. 3 is a flow chart of a method of wetland ecosystem monitoring provided in another embodiment;
FIG. 4 is a flow chart of a method of wetland ecosystem monitoring provided in another embodiment;
FIG. 5 is a flow chart of a method of wetland ecosystem monitoring provided in another embodiment;
FIG. 6 is a block diagram of the internal architecture of a computer device in one embodiment.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
Fig. 1 is a flowchart of a method for monitoring a wetland ecosystem according to an embodiment, and as shown in fig. 1, the method may specifically include the following steps:
step S102, receiving monitoring indexes of ecological factors, wherein the ecological factors represent ecological characteristics of the wetland ecosystem;
step S104, determining the change degree of the ecological factors according to the monitoring indexes of the ecological factors;
and step S106, determining early warning levels of the wetland ecosystem according to the change degree of each ecological factor, wherein the early warning levels are used for guiding the management strategy.
In the embodiment of the invention, the wetland ecosystem monitoring method can be applied to computer equipment, wherein the computer equipment can be an independent physical server or terminal, such as a smart phone, a tablet personal computer, a notebook personal computer and a desktop computer, can also be a server cluster formed by a plurality of physical servers, and can be a cloud server for providing basic cloud computing services such as a cloud server, a cloud database, cloud storage, CDN and the like.
In the embodiment of the invention, the monitoring index is specific monitoring data of the ecological factors of the wetland ecosystem, the monitoring indexes of different ecological factors are different, the ecological factors represent the ecological characteristics of the wetland ecosystem, and the corresponding monitoring indexes quantitatively represent the ecological factors. The monitoring index of the ecological factor is generally from a monitoring equipment terminal, and the monitoring equipment terminal sends data to computer equipment for executing the monitoring method through a network; the data may also be entered by a monitoring person into a computer device performing the monitoring method. By receiving the monitoring index of the ecological factors, the condition of the wetland ecological system can be primarily known.
In the embodiment of the invention, the monitoring index of the ecological factors is in dynamic change, the wetland ecosystem is influenced by the outside or changed internally, the conditions of the ecological factors are correspondingly changed to different degrees, and the ecological factors are obviously reflected on the monitoring index of the ecological factors after the wetland ecosystem has a certain degree of substantial change; the change degree of the ecological factors is determined by analyzing the monitoring indexes of the ecological factors, so that the overall condition of the wetland ecological system can be monitored.
In the embodiment of the invention, the wetland ecosystem is provided with a plurality of ecological factors, and the ecological factors can obtain monitoring indexes in the monitoring process, but the ecological factors are related and mutually influenced, so that the change condition of a certain ecological factor cannot be considered singly, the change degree of the plurality of ecological factors is required to be considered, and the corresponding early warning level is determined according to the established early warning rule; the early warning level can be determined by the quantity of the changed ecological factors, the early warning level can be graded, and the early warning level reflects the monitoring condition of the wetland ecological system so as to accurately grasp the overall change condition of the wetland ecological system, and can make a corresponding management strategy in time to prevent the wetland ecological system from deteriorating due to the hysteresis of the monitoring index of the ecological factors.
In the embodiment of the invention, the condition of the whole wetland ecosystem is determined by carrying out targeted monitoring on each ecological factor and comprehensively considering the variation degrees of different ecological factors, so that the corresponding early warning level is conveniently determined; the method and the system consider the variation degree of a plurality of ecological factors at the same time, so that the variation trend of the wetland ecosystem is easier to grasp, and the wetland ecosystem can send out early warning when the wetland ecosystem has small variation, thereby realizing corresponding management in time and protecting the wetland ecosystem better.
As a preferred embodiment of the present invention, the ecological factors include at least two of water amount, water quality, eutrophication, area, and biodiversity. There may be one or more each ecological factor as a monitoring index.
In one embodiment, the water amount is used to represent a change in the hydrologic characteristics of the wetland ecosystem, a change in the water supply and the water supply conditions. The specific monitoring index is obtained by remote sensingThe specific monitoring index is the area (hm) of the water area 2 ) Average water depth (m), etc.
In one embodiment, the water quality is used to represent the quality of the water body on the surface of the wetland ecosystem, reflecting the degree of pollution of the wetland. The source of the monitoring data of the specific monitoring index can be sampling test, and the corresponding standard can be referred to by the monitoring index and the evaluation method of the change degree, such as the surface water environment quality standard (GB 3838-2002).
In one embodiment, the eutrophication is used for representing the eutrophication degree of the water body of the wetland ecosystem and reflecting the pollution condition of the wetland. The source of the monitoring data of the specific monitoring index can be sampling test, and the monitoring index comprises chlorophyll a (chla), total Phosphorus (TP), total Nitrogen (TN), transparency (SD), potassium permanganate index (CODCr) and the like.
In one embodiment, the area is used to represent a trend of the overall area of the wetland ecosystem, reflecting the condition that the wetland is destroyed or disturbed. The source of the monitoring data of the specific monitoring index can be remote sensing monitoring, and the monitoring index can be wetland area (hm 2 ）。
In one embodiment, the biodiversity represents a variation in the biodiversity of the wetland, reflecting the quality of the wetland ecosystem. The source of the monitoring data of the specific monitoring index can be artificial observation, voiceprint equipment monitoring or video monitoring and the like. The main monitoring indicators can include the species of the aquatic bird, the population number of the aquatic bird (only), the number of important protective species (only), the vegetation coverage (%), the species of the invasive species (species) and the invasive area of the invasive species (hm) 2 ) Etc.
As a preferred embodiment of the present invention, step S104, the step of confirming the degree of change of the ecological factor according to the monitoring index of the ecological factor includes:
s202, determining the change coefficient of the monitoring index of the ecological factor according to the current monitoring data and the historical monitoring data of the monitoring index;
s204, comparing the change coefficient with an acceptable change range, wherein the acceptable change range is preset for the ecological factors and based on statistics, to determine the change degree of the ecological factors.
In one embodiment, the current monitoring data and the historical monitoring data of the monitoring index are considered to calculate the change coefficient of the current monitoring quality assurance body through comparing and calculating the current monitoring data and the historical monitoring data. In order to measure the change coefficient of the monitoring index, the change coefficients are compared through a preset acceptable change range, and then the change degree is determined. Different monitoring indexes of different ecological factors, and acceptable variation ranges of the different monitoring indexes are different; if the change of the monitoring index of the wetland ecosystem is within a specific scale, the change does not lose the value or the function of the wetland ecosystem, and if the change exceeds the specific scale, the change of the monitoring index reduces the function or the value of the wetland, and the specific scale is an acceptable change range of the wetland ecosystem. The acceptable range of variation may be based on statistical settings for that type of wetland ecosystem, which should be set outside the natural range of variation for that wetland ecosystem.
In one embodiment, step S202, determining, according to the current monitoring data and the historical monitoring data of the monitoring index, a change coefficient of the monitoring index of the ecological factor specifically includes:
E =|(E2-E1)/E1|；
wherein E is a change coefficient, E1 is an annual average value of historical monitoring data, and E2 is a value of current monitoring data.
In one embodiment, S204, comparing the coefficient of variation with an acceptable variation range to determine the degree of variation of the ecological factor is specifically: if E is less than or equal to A, the degree of change of the ecological factors is no obvious change;
if A is less than or equal to E and less than or equal to B, the degree of change of the ecological factors is changed;
if E > B, the degree of change of the ecological factors is obviously changed;
wherein a is the smaller end point value of the acceptable variation range and B is the larger end point value of the acceptable variation range.
For the ecological factor of the water quantity, the monitoring index can be the water quantity of the wetland ecological system, through calculating the change coefficient Ea of the water quantity, the set acceptable change range [0.1,0.2] is that the smaller end point value is 0.1, the larger end point value is 0.2, when Ea is less than or equal to 0.1, the change state of the water quantity is determined to be no obvious change, when Ea is less than or equal to 0.2, the change state of the water quantity is determined to be changed, the change state is slightly increased or slightly reduced, and when Ea is more than 0.2, the change state of the water quantity is determined to be obviously changed, the change state is increased or reduced.
For the ecological factor of the area, the monitoring index can be the area of the wetland ecological system, the change coefficient of the area is Eb, the set acceptable change range [0.05,0.1] is that the smaller end point value is 0.05, the larger end point value is 0.1, when Eb is less than or equal to 0.05, the change state of the area is determined to be no obvious change, when Eb is less than or equal to 0.1, the change state of the area is determined to be changed, the change state is slightly increased or slightly reduced, and when Eb is more than 0.1, the change state of the area is determined to be obvious change, the change state is increased or reduced.
For the ecological factor of the biodiversity, the monitoring indexes can be multiple, when the monitoring indexes are the water bird types (species), the water bird population quantity (only), the important protection species quantity (only), the invasive species types (species) are four, and the acceptable change ranges of the four monitoring indexes can be the same, for example, for the water bird types, the change coefficient is Ec, when Ec is less than or equal to 0.1, the change state of the water bird types is determined to be no obvious change, when Ec is less than or equal to 0.1 and less than or equal to 0.2, the change state of the water bird types is determined to be changed (increased and decreased), and when Ec is more than 0.2, the change state of the water bird types is determined to be obvious change (increased and decreased).
For the ecological factor of the biodiversity, when the monitoring index is vegetation coverage (%), the change coefficient of the vegetation coverage is Ed, the set acceptable change range [0.05,0.1] is that the smaller end value is 0.05, the larger end value is 0.1, when Ed is less than or equal to 0.05, the change state of the area is determined to be no obvious change, when Ed is less than or equal to 0.05 and less than or equal to 0.1, the change state of the area is determined to be slightly increased or slightly reduced, and when Ed is more than 0.1, the change state of the area is determined to be obvious change, and the change state of the area is determined to be increased or reduced.
For biodiversity, an ecological factor, when the monitoring index is the area of invasion (hm 2 ) The variation coefficient of the intrusion area is Ef, and the acceptable variation range is 0.05,0.1]The smaller end point value is 0.05, the larger end point value is 0.1, when Ef is less than or equal to 0.05, the change state of the intrusion area is determined to be no obvious change, when Ef is 0.05<If Ef is less than or equal to 0.1, determining that the change state of the intrusion area is changed, wherein the change state is slightly increased or slightly reduced, and if Ef>At 0.1, the change state of the intrusion area is determined to be a significant change, which indicates an increase or decrease.
As a preferred embodiment of the present invention, step S104, the step of determining the degree of change of the ecological factor according to the monitoring index of the ecological factor further includes:
s302, calculating standard evaluation parameters of the ecological factors according to the monitoring indexes;
s304, comparing the standard evaluation parameters with actual evaluation standards to determine the degree of change of the ecological factors.
In this embodiment, the evaluation of some ecological factors has a standard, so that the change condition of the ecological factors can be determined by calculating the standard rating parameters of the ecological factors and comparing the standard rating parameters with the actual evaluation standards.
In one embodiment, for the ecological factor of water quality, the water quality is judged by measuring the water quality condition, for example, the judging result can be obtained by comparison according to the surface water environment quality standard (GB 3838-2002), and the water quality grade is obtained, wherein the surface water environment quality standard is a standard, and the water quality grade is a standard evaluation parameter; the actual evaluation criteria are: and when the water quality grade is unchanged, evaluating the change degree of the ecological factors as no obvious change. When the water quality level changes at one level, evaluating the change degree of the ecological factors as a change (improvement, deterioration, decline); when the water quality level is changed in two or more stages, the degree of change in the ecological factor is evaluated as a significant change (improvement or deterioration, decline, deterioration).
In one embodiment, for the ecological factor of eutrophication, the comprehensive nutrition state index is calculated to determine the nutrition state grade, and then the nutrition state grade is compared with the actual evaluation standard to obtain the change condition of the eutrophication, and the nutrition state grade is the standard evaluation parameter; the actual evaluation criteria were: when the nutrition state grade is unchanged, evaluating the change degree of the ecological factors as no obvious change; when the nutrition state level changes at one level, evaluating the change degree of the ecological factors as change (improvement, deterioration and decline); when the nutritional status level changes by more than two stages (including two stages), the degree of change in the ecological factor is evaluated as a significant change (improvement or deterioration, decline, deterioration). The calculation of the integrated nutritional status index for eutrophication may be: TLI (Σ) = Σwj·tli (j), where: TLI (Σ) is the integrated nutritional status index; wj is the relative weight of the nutritional status index of the j-th parameter; TLI (j) represents the nutritional status index of the j-th parameter.
As a preferred embodiment of the present invention, step S106, the specific step of determining the early warning level of the wetland ecosystem according to the variation degree of each of the ecological factors includes:
s402, if the degree of change of the monitoring index with the ecological factors is obvious, determining the early warning level of the wetland ecosystem as a first level so as to represent that great change occurs;
s404, if the change degree of more than half of the monitoring indexes is changed, determining that the early warning level of the wetland ecosystem is two-level so as to represent larger change;
and S406, if the change degree of the monitoring indexes with the number of half or less is changed, determining that the early warning level of the wetland ecosystem is two-level so as to indicate that the general change occurs.
In the embodiment of the invention, the specific monitoring index of each ecological factor is quantitatively calculated, the change condition of the specific monitoring index is qualitatively classified, the change condition of the monitoring index of the ecological factor of the whole wetland ecological system is comprehensively considered, the wetland ecological system is pre-warned, and the pre-warning level is divided, so that different adaptive management strategies are made for management staff, and generally, different wetland ecological systems have differences, therefore, the management strategy can be implemented by the management staff based on the pre-warning level and the specific changed ecological factor, and the management strategy is more targeted.
As a preferred embodiment of the present invention, the monitoring method further includes:
s502, monitoring the monitoring index of the corresponding ecological factor according to the early warning level until the wetland ecosystem is restored.
In the embodiment of the invention, the monitoring and the management of the wetland ecosystem are continuous, and the wetland ecosystem is monitored under the general condition so as to early warn in time; when the wetland ecosystem is restored, the same is continuously monitored, the restoration condition of the wetland ecosystem is generally determined, and the management strategy is convenient to adjust in time.
FIG. 6 illustrates an internal block diagram of a computer device in one embodiment. The wetland ecosystem monitoring method is applied to the computer equipment. As shown in fig. 6, the computer device includes a processor, a memory, a network interface, an input device, and a display screen connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program that, when executed by the processor, causes the processor to implement a wetland ecosystem monitoring method. The internal memory may also store a computer program that, when executed by the processor, causes the processor to perform the wetland ecosystem monitoring method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is presented, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
step S102, receiving monitoring indexes of ecological factors, wherein the ecological factors represent ecological characteristics of the wetland ecosystem;
step S104, determining the change degree of the ecological factors according to the monitoring indexes of the ecological factors;
and step S106, determining early warning levels of the wetland ecosystem according to the change degree of each ecological factor, wherein the early warning levels are used for guiding the management strategy.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which when executed by a processor causes the processor to perform the steps of:
step S102, receiving monitoring indexes of ecological factors, wherein the ecological factors represent ecological characteristics of the wetland ecosystem;
step S104, determining the change degree of the ecological factors according to the monitoring indexes of the ecological factors;
and step S106, determining early warning levels of the wetland ecosystem according to the change degree of each ecological factor, wherein the early warning levels are used for guiding the management strategy.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (5)
1. A method for monitoring a wetland ecosystem, the method comprising:
receiving monitoring indexes of ecological factors, wherein the ecological factors represent ecological characteristics of the wetland ecosystem;
determining the change degree of the ecological factors according to the monitoring indexes of the ecological factors, wherein the method comprises the following steps: determining the change coefficient of the monitoring index of the ecological factor according to the current monitoring data and the historical monitoring data of the monitoring index; comparing the change coefficient with an acceptable change range to determine the change degree of the ecological factor, wherein the acceptable change range is preset for the ecological factor based on statistics; further comprises: calculating standard evaluation parameters of the ecological factors according to the monitoring indexes; comparing the standard evaluation parameters with actual evaluation standards to determine the degree of change of the ecological factors;
determining an early warning level of the wetland ecosystem according to the change degree of each ecological factor, wherein the early warning level is used for guiding a management strategy and comprises the following steps: if the degree of change of the monitoring index with the ecological factors is obvious, determining the early warning level of the wetland ecosystem as a first level so as to represent that great change occurs; if the change degree of more than half of the monitoring indexes is changed, determining that the early warning level of the wetland ecosystem is two-level so as to represent larger change; if the change degree of the monitoring indexes of which the number is half or less is changed, determining that the early warning level of the wetland ecosystem is two-level so as to represent that the general change occurs;
the change coefficient of the monitoring index of the ecological factor is determined according to the current monitoring data and the historical monitoring data of the monitoring index specifically as follows:
E =|(E2-E1)/E1|；
wherein E is a change coefficient, E1 is an annual average value of historical monitoring data, and E2 is a value of current monitoring data;
the change coefficient is compared with an acceptable change range, and the change degree of the ecological factor is determined specifically as follows:
if E is less than or equal to A, the degree of change of the ecological factors is no obvious change;
if A is less than or equal to E and less than or equal to B, the degree of change of the ecological factors is changed;
if E > B, the degree of change of the ecological factors is obviously changed;
wherein a is the smaller end point value of the acceptable variation range and B is the larger end point value of the acceptable variation range.
2. The method of claim 1, wherein the ecological factors comprise at least two of water quantity, water quality, eutrophication, area, and biodiversity.
3. The method of claim 1, further comprising:
and monitoring the monitoring index of the corresponding ecological factor according to the early warning level until the wetland ecosystem is restored.
4. A computer device comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of a wetland ecosystem monitoring method according to any one of claims 1 to 3.
5. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, causes the processor to perform the steps of a wetland ecosystem monitoring method according to any one of claims 1 to 3.
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| CN106202163A (en) * | 2016-06-24 | 2016-12-07 | 中国环境科学研究院 | Tongjiang lake ecological monitoring information management and early warning system |
| CN111210128A (en) * | 2019-12-27 | 2020-05-29 | 广东工业大学 | Wetland early warning method based on artificial intelligence and random self-adaptive threshold |
| CN113074778A (en) * | 2021-03-24 | 2021-07-06 | 辽宁省海洋水产科学研究院 | Big data monitoring and early warning device for residential island ecological environment |
| CN115273439A (en) * | 2022-07-27 | 2022-11-01 | 杭州领见数字农业科技有限公司 | Sea area red tide disaster early warning method, computer equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106202163A (en) * | 2016-06-24 | 2016-12-07 | 中国环境科学研究院 | Tongjiang lake ecological monitoring information management and early warning system |
| CN111210128A (en) * | 2019-12-27 | 2020-05-29 | 广东工业大学 | Wetland early warning method based on artificial intelligence and random self-adaptive threshold |
| CN113074778A (en) * | 2021-03-24 | 2021-07-06 | 辽宁省海洋水产科学研究院 | Big data monitoring and early warning device for residential island ecological environment |
| CN115273439A (en) * | 2022-07-27 | 2022-11-01 | 杭州领见数字农业科技有限公司 | Sea area red tide disaster early warning method, computer equipment and storage medium |
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