Water pollution early warning system and method based on non-invasive corbicula fluminea behavior quantitative analysis

Abstract

The invention belongs to the technical field of water pollution biological monitoring, and discloses a water pollution early warning system and method based on non-intrusive corbicula fluminea behavior quantitative analysis, and the method comprises the following steps: carrying out image acquisition on multi-temporal behavior data of corbicula fluminea in a target pollution area; extracting a short-term sensitive index and a long-term stable index from the multi-temporal behavior data, and calculating index values of the short-term sensitive index and the long-term stable index; and determining the pollution level of the target pollution area by comparing the index value with an early warning threshold value. Specifically, the short-term sensitive index comprises the escape diffusion rate of the corbicula fluminea in a first preset time, and the long-term stable index comprises the diffusion area ratio and the digging rate of the corbicula fluminea in a second preset time; the early warning threshold value comprises a basic threshold value and a grading threshold value. In conclusion, water environment ecotoxicity assessment is realized based on quantitative analysis of corbicula fluminea behaviors, and effective technical support can be provided for health monitoring of a fresh water ecosystem.

Description

Technical Field

[0001] This invention belongs to the field of biological monitoring technology, specifically relating to a water pollution early warning system and method based on non-invasive quantitative analysis of river clam behavior. Background Technology

[0002] Aquatic animal behavior is a crucial basis for assessing the health status of aquatic environments, with biological behavioral responses serving as the most direct biomarkers reflecting environmental pollution. Compared to terrestrial animals, aquatic animal behavior research faces challenges such as the high complexity of aquatic environments, the difficulty in signal capture, and limited methods for behavioral analysis. Current research is largely limited to descriptive analysis, lacking efficient methods to convert behavioral signals into quantifiable indicators, making it difficult to systematically analyze the correlation between behavioral patterns and environmental stress. Bivalves, due to their sensitivity to environmental changes, are widely used as indicator organisms for aquatic environment monitoring. Research on marine bivalves (such as scallops and oysters) has made some progress, enabling real-time monitoring of their bivalve opening and closing behavior using photoelectromagnetic sensing technology, and linking it to their physiological activities such as feeding and respiration. However, existing methods mostly focus on single behavioral parameters (such as opening and closing frequency) and are significantly affected by marine environmental variables such as salinity and water temperature, making them difficult to directly apply to freshwater ecosystems. Furthermore, marine bivalve behavioral analysis models lack sensitivity to low-concentration chronic pollution and lack quantification methods for the synergistic effects of group behavior.

[0003] As a sentinel species in freshwater sediments, the river clam has the following unique advantages:

[0004] (1) Wide environmental adaptability: It is widely distributed in freshwater rivers, lakes and drinking water sources, and is sensitive to low concentrations of pollutants;

[0005] (2) Significant behavioral characteristics: Its migration and expansion and shell-closing behavior show a dose-response relationship under pollutant exposure, especially the response threshold to drug pollutants (such as anti-inflammatory drugs) is as low as μg / L;

[0006] (3) Coordination of group behavior: The spatial distribution pattern formed by the migration of river clam groups (such as the dynamic change of the maximum polygon area) can effectively reduce the interference of randomness in individual behavior and improve the stability of monitoring;

[0007] (4) Non-invasive monitoring compatibility: Its benthic nature allows its behavior to be accurately captured in a two-dimensional plane, avoiding the occlusion and disturbance problems in three-dimensional motion tracking.

[0008] Despite the significant potential of freshwater clams in environmental monitoring, current research faces several technical bottlenecks: behavioral quantification relies on manual observation, lacking automated, high-throughput analysis systems; existing models fail to integrate migration and shell-closure dual-modal behavior, making it difficult to comprehensively reflect the differentiated effects of pollutants; and there is insufficient analysis of long-term behavioral patterns in chronically exposed individuals, failing to meet the continuous monitoring requirements of actual water bodies. Therefore, developing a non-invasive quantitative analysis system for freshwater clam behavior, and establishing a monitoring method that analyzes the temporal behavioral characteristics of freshwater clams and establishes a quantitative relationship between behavioral indicators and pollution concentrations, has significant scientific value and application prospects for improving early warning capabilities for water pollution. Summary of the Invention

[0009] Therefore, the purpose of this invention is to provide a water pollution early warning system and method based on non-invasive quantitative analysis of river clam behavior; by identifying the differentiated behavioral response characteristics of river clams at different time scales under pollutant exposure, a quantitative relationship between multi-temporal behavioral indicators and pollution concentration is established, providing technical support for the accurate monitoring and early warning of water pollution.

[0010] To achieve the above objectives, the present invention provides the following technical solution:

[0011] A water pollution early warning method based on non-invasive quantitative analysis of clam behavior includes:

[0012] Image acquisition of multi-temporal behavioral data of river clams within the target pollution area;

[0013] Short-term sensitive indicators and long-term stable indicators are extracted from the multi-temporal behavioral data, and the indicator values ​​of the short-term sensitive indicators and the long-term stable indicators are calculated.

[0014] The pollution level of the target polluted area is determined by comparing the index value with the warning threshold.

[0015] Preferably, the short-term sensitive indicators include the escape and diffusion rate of river clams within a first preset time period; the long-term stable indicators include the diffusion area ratio and burrowing rate of river clams within a second preset time period.

[0016] Preferably, the second preset time includes the first preset time, and the duration of the second preset time is at least four times the duration of the first preset time.

[0017] Preferably, the warning threshold includes a basic threshold and a graded threshold;

[0018] When the values ​​of the escape diffusion rate, diffusion area ratio, and burrowing rate do not exceed the basic threshold, the pollution level of the target polluted area is determined to be unpolluted.

[0019] When the index value of the diffusion area ratio exceeds the basic threshold, and the index values ​​of the escape diffusion rate and / or the burrowing rate are within the ranges defined by the basic threshold and the classification threshold, the pollution level of the target pollution area is determined to be low concentration pollution.

[0020] When the index value of the diffusion area ratio exceeds the basic threshold, and the index value of the escape diffusion rate or the burrowing rate exceeds the classification threshold, the pollution level of the target pollution area is determined to be medium concentration pollution.

[0021] When the index value of the diffusion area ratio exceeds the basic threshold, and the index values ​​of the escape diffusion rate and the burrowing rate both exceed the classification threshold, the pollution level of the target polluted area is determined to be high concentration pollution.

[0022] Preferably, the formula for calculating the index value of the escape diffusion rate is as follows: In the formula, The duration of the first preset time. For the first preset time of the river clam The area occupied by the escaped contaminated material within the target contaminated area. This represents the initial area occupied by river clams within the target contaminated area.

[0023] Preferably, the formula for calculating the index value of the diffusion area ratio is as follows: In the formula, The duration of the second preset time. For the second preset time of the river clams The area occupied by the escaped contaminated material within the target contaminated area. The total area of ​​the target contaminated area.

[0024] Preferably, the formula for calculating the index value of the hole-digging rate is as follows: In the formula, The total number of river clams The number of river clams whose shells are completely buried in the sand layer. The number of river clams with more than half of their shells buried in the sand layer. These are the weighting coefficients.

[0025] Preferably, the image acquisition frequency is not less than 1 frame / minute.

[0026] A water pollution early warning system based on non-invasive quantitative analysis of clam behavior includes:

[0027] The image acquisition module is used to acquire multi-temporal behavioral data of river clams within the target pollution area;

[0028] The behavior analysis module extracts short-term sensitive indicators and long-term stable indicators from the multi-temporal behavior data, and calculates the indicator values ​​of the short-term sensitive indicators and the long-term stable indicators.

[0029] The data processing module is used to compare the indicator values ​​with the warning thresholds and determine the pollution level of the target polluted area based on the comparison results.

[0030] The display module is used to display the processing results of the data processing module;

[0031] An alarm module is used to execute graded alarms based on the pollution level of the target polluted area, including low-concentration pollution alarms, medium-concentration pollution alarms, and high-concentration pollution alarms.

[0032] Compared with the prior art, the present invention has the following advantages:

[0033] This invention, based on dual-modal behavioral response data of river clam migration and burrowing, innovatively identifies the temporal response patterns of river clam behavior. For the first time, it systematically reveals the differentiated characteristics of river clams' short-term sensitive response (1 hour) and long-term cumulative behavior (6 hours) under pollutant exposure, providing richer biomarkers for pollution monitoring. It establishes a quantitative method for determining pollution levels, clarifying the differentiated response patterns of temporal characteristic indicators under different pollutant conditions through synergistic analysis of multiple temporal indicators, enabling the differentiation of pollution stress at different concentration levels. It also strengthens early warning capabilities by utilizing the 1-hour escape diffusion rate as a rapid response indicator, allowing for the identification of pollution signals at the initial stage of exposure and gaining valuable time for emergency response. In summary, this invention, based on the quantitative analysis of river clam behavior, enables ecotoxicological assessment of the aquatic environment, providing effective technical support for freshwater ecosystem health monitoring. Attached Figure Description

[0034] Figure 1 This is a comparison chart of the calculation results of each group of index values ​​in Embodiment 1 of the present invention;

[0035] Figure 2 This is a comparison chart of the calculation results of each group of index values ​​in Embodiment 2 of the present invention;

[0036] Figure 3 This is a structural diagram of the water pollution early warning system based on non-invasive quantitative analysis of river clam behavior, as presented in this invention. Detailed Implementation

[0037] To further understand the content of this invention, a detailed description of the invention is provided in conjunction with the accompanying drawings and embodiments. The structures, proportions, sizes, etc., depicted in the accompanying drawings are merely for illustrative purposes and to aid those skilled in the art, and are not intended to limit the implementation conditions of the invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to size, without affecting the effects and objectives of the invention, should still fall within the scope of the technical content disclosed in this invention. Furthermore, terms such as "upper," "lower," "left," "right," and "middle" used in this specification are merely for clarity and not intended to limit the scope of implementation. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the invention. It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein.

[0038] A water pollution early warning method based on non-invasive quantitative analysis of clam behavior includes:

[0039] S1. Image acquisition of multi-temporal behavioral data of river clams within the target pollution area;

[0040] Experimental system construction: A standardized experimental container (35×21×23cm aquarium) was used. The bottom was laid with a 1cm thick layer of mixed sand substrate (fine sand with a particle size of 0-1.5mm and coarse sand with a particle size of 1.5-3.5mm mixed in a 1:1 ratio). A 40-60cm section was marked in the center. 2 In the initial placement area, place 10-20 healthy river clams of similar size. It should be noted that the size of the standardized experimental container and the central initial placement area can be adjusted according to specific experimental needs, ensuring that the area of ​​the central initial placement area does not exceed 10% of the standardized experimental container.

[0041] Multi-temporal behavioral data acquisition: Real-time data on the positional changes of river clams within the experimental container are acquired using a non-invasive image acquisition system. Specifically, an observation period of 0–6 hours is set, and river clam behavioral data are collected in stages within the observation period, with the image acquisition frequency not less than 1 frame / minute.

[0042] S2. Extract short-term sensitive indicators and long-term stable indicators from the multi-temporal behavior data, and calculate the indicator values ​​of the short-term sensitive indicators and the long-term stable indicators;

[0043] It should be noted that the short-term sensitive indicators include the escape and diffusion rate of river clams within a first preset time period (0-1 hour); the long-term stable indicators include the diffusion area ratio and burrowing rate of river clams within a second preset time period (0-6 hours).

[0044] The escape-diffusion rate refers to the rate of change of the maximum polygonal area formed by the migration of the clam colony per unit time, characterizing the colony's diffusion activity. The formula for calculating the escape-diffusion rate is as follows: In the formula, The duration of the first preset time. For the first preset time of the river clam The area occupied by the escaped contaminated material within the target contaminated area. This refers to the initial area occupied by river clams within the target contaminated area. Specifically, when calculating the index value of the escape diffusion rate... This means calculating the short-term sensitive response of river clams in 1 hour.

[0045] The diffusion area ratio represents the ratio of the largest polygonal area formed by the migration of the river clam colony to the initial area within the same time period. The ratio of the diffusion area ratio represents the actual diffusion rate of the population. The formula for calculating the value of the diffusion area ratio is as follows: In the formula, The duration of the second preset time. For the second preset time of the river clams The area occupied by the escaped contaminated material within the target contaminated area. This refers to the total area of ​​the target contaminated area. Specifically, when calculating the index value of the diffusion area ratio... That is, to calculate the long-term cumulative response of river clams over 6 hours.

[0046] The burrowing rate refers to the proportion of individuals that are completely buried in sand and partially buried in sand, reflecting the intensity of the river clam's avoidance behavior towards pollutants; the formula for calculating the burrowing rate is as follows: In the formula, The total number of river clams The number of river clams whose shells are completely buried in the sand layer. The number of river clams with more than half of their shells buried in the sand layer. These are the weighting coefficients. Specifically, And when calculating the index value of the hole-digging rate. That is, to calculate the long-term cumulative response of river clams over 6 hours.

[0047] S3. Determine the pollution level of the target polluted area by comparing the indicator value with the warning threshold;

[0048] The warning thresholds include basic thresholds and tiered thresholds;

[0049] When the values ​​of the escape diffusion rate, diffusion area ratio, and burrowing rate do not exceed the basic threshold, the pollution level of the target polluted area is determined to be unpolluted.

[0050] When the index value of the diffusion area ratio exceeds the basic threshold, and the index values ​​of the escape diffusion rate and / or the burrowing rate are within the ranges defined by the basic threshold and the classification threshold, the pollution level of the target pollution area is determined to be low concentration pollution.

[0051] When the index value of the diffusion area ratio exceeds the basic threshold, and the index value of the escape diffusion rate or the burrowing rate exceeds the classification threshold, the pollution level of the target pollution area is determined to be medium concentration pollution.

[0052] When the index value of the diffusion area ratio exceeds the basic threshold, and the index values ​​of the escape diffusion rate and the burrowing rate both exceed the classification threshold, the pollution level of the target polluted area is determined to be high concentration pollution.

[0053] Example 1

[0054] A standardized experimental container (35×21×23cm aquarium) was used. A 1cm thick layer of mixed sand substrate (fine sand with a particle size of 0–1.5mm and coarse sand with a particle size of 1.5–3.5mm mixed in a 1:1 ratio) was laid at the bottom. A 40–60cm section was marked in the center. 2 In the initial placement area, place 10 to 20 healthy river clams of similar size.

[0055] Experimental group: Ibuprofen at different concentrations (20 μg / L, 200 μg / L, 2000 μg / L) was injected into the water in a standardized experimental container, and the location change data of the river clam in the experimental container was acquired in real time through a non-invasive image acquisition system;

[0056] Control group: Clean water was injected into the water body in the standardized experimental container, and the location change data of the river clams in the experimental container were acquired in real time through a non-invasive image acquisition system.

[0057] By analyzing the collected data from the experimental and control groups using the above-mentioned water pollution early warning method based on non-invasive quantitative analysis of river clam behavior, the following results were obtained: Figure 1 The comparison results are shown below, and the following explanations are provided:

[0058] When processing the data from the experimental group:

[0059] The escape diffusion rate of the experimental group was based on a threshold of 5 times the escape diffusion rate of the control group, and a grading threshold of 2 times the escape diffusion rate of the control group.

[0060] The diffusion area ratio of the experimental group is based on the diffusion area ratio of the control group as a threshold.

[0061] The hole-digging rate of the experimental group is based on the hole-digging rate of the control group as the base threshold, and 0.8 times the hole-digging rate of the control group as the graded threshold.

[0062] Low concentration group (20 μg / L):

[0063] The escape diffusion rate of the experimental group after 1 hour was 113.01 cm⁻¹. 2 The diffusion area ratio of the experimental group at 6 hours was 24.23%, significantly higher than that of the control group; the burrowing rate of the experimental group at 6 hours was 68.95%, which was not significantly lower than that of the control group. In other words, the diffusion area ratio exceeded the baseline threshold, and the escape diffusion rate was within the range defined by the baseline threshold and the classification threshold, thus determining the pollution level of the target polluted area as low-concentration pollution.

[0064] Medium concentration group (200 μg / L):

[0065] The escape diffusion rate of the experimental group after 1 hour was 85.34 cm⁻¹. 2 The diffusion area ratio of the experimental group at 6 hours was 23.46%, significantly higher than that of the control group; the burrowing rate of the experimental group at 6 hours was 51.67%, significantly lower than that of the control group. In other words, the diffusion area ratio exceeded the baseline threshold, the escape diffusion rate was within the range defined by the baseline threshold and the grading threshold, and the burrowing rate was lower than the grading threshold, thus determining the pollution level of the target polluted area as medium concentration pollution.

[0066] High concentration group (2000 μg / L):

[0067] The escape diffusion rate of the experimental group after 1 hour was 29.30 cm⁻¹. 2 The diffusion area ratio of the experimental group at 6 hours was 17.98%, significantly higher than that of the control group; the burrowing rate of the experimental group at 6 hours was 53.70%, significantly lower than that of the control group. In other words, the diffusion area ratio exceeded the baseline threshold, while the escape diffusion rate and burrowing rate were both below the classification threshold, thus determining the pollution level of the target contaminated area as high-concentration pollution.

[0068] Example 2

[0069] A standardized experimental container (35×21×23cm aquarium) was used. A 1cm thick layer of mixed sand substrate (fine sand with a particle size of 0–1.5mm and coarse sand with a particle size of 1.5–3.5mm mixed in a 1:1 ratio) was laid at the bottom. A 40–60cm section was marked in the center. 2 In the initial placement area, place 10 to 20 healthy river clams of similar size.

[0070] Experimental group: Different concentrations (20 μg / L, 200 μg / L, 2000 μg / L) of acetaminophen were injected into the water in a standardized experimental container, and the location change data of river clams in the experimental container were acquired in real time through a non-invasive image acquisition system;

[0071] Control group: Clean water was injected into the water body in the standardized experimental container, and the location change data of the river clams in the experimental container were acquired in real time through a non-invasive image acquisition system.

[0072] By analyzing the collected data from the experimental and control groups using the above-mentioned water pollution early warning method based on non-invasive quantitative analysis of river clam behavior, the following results were obtained: Figure 2 The comparison results are shown below, and the following explanations are provided:

[0073] When processing the data from the experimental group:

[0074] The escape diffusion rate of the experimental group was based on a threshold of 5 times the escape diffusion rate of the control group, and a grading threshold of 2 times the escape diffusion rate of the control group.

[0075] The diffusion area ratio of the experimental group is based on the diffusion area ratio of the control group as a threshold.

[0076] The hole-digging rate of the experimental group is based on the hole-digging rate of the control group as the base threshold, and 0.8 times the hole-digging rate of the control group as the graded threshold.

[0077] Low concentration group (20 μg / L):

[0078] The escape diffusion rate of the experimental group after 1 hour was 111.40 cm⁻¹. 2 The diffusion area ratio of the experimental group at 6 hours was 24.39%, significantly higher than that of the control group; the burrowing rate of the experimental group at 6 hours was 71.48%, with no significant decrease compared to the control group. In other words, the diffusion area ratio exceeded the baseline threshold, and the escape diffusion rate was within the range defined by the baseline threshold and the classification threshold, thus determining the pollution level of the target contaminated area as low-concentration pollution.

[0079] Medium concentration group (200 μg / L):

[0080] The escape diffusion rate of the experimental group after 1 hour was 51.99 cm⁻¹. 2 The diffusion area ratio of the experimental group at 6 hours was 18.30%, significantly higher than that of the control group; the burrowing rate of the experimental group at 6 hours was 58.33%, significantly lower than that of the control group. In other words, the diffusion area ratio exceeded the baseline threshold, the escape diffusion rate was within the range defined by the baseline threshold and the grading threshold, and the burrowing rate was lower than the grading threshold, thus determining the pollution level of the target contaminated area as medium concentration pollution.

[0081] High concentration group (2000 μg / L):

[0082] The escape diffusion rate of the experimental group after 1 hour was 50.02 cm⁻¹. 2 The diffusion area ratio of the experimental group at 6 hours was 2.0 times that of the control group; the diffusion area ratio of the experimental group at 6 hours was 22.42%, significantly higher than that of the control group; the burrowing rate of the experimental group at 6 hours was 58.33%, significantly lower than that of the control group. In other words, the diffusion area ratio exceeded the baseline threshold, while the escape diffusion rate and burrowing rate were both below the classification threshold, thus determining the pollution level of the target contaminated area as high-concentration pollution.

[0083] In summary, the water pollution early warning method based on non-invasive quantitative analysis of river clam behavior proposed in this invention can accurately classify the pollution level of water pollution.

[0084] The present invention also discloses a method such as Figure 3 The water pollution early warning system shown is based on non-invasive quantitative analysis of clam behavior. The system includes:

[0085] The image acquisition module is used to acquire multi-temporal behavioral data of river clams within the target pollution area;

[0086] The behavior analysis module extracts short-term sensitive indicators and long-term stable indicators from the multi-temporal behavior data, and calculates the indicator values ​​of the short-term sensitive indicators and the long-term stable indicators.

[0087] The data processing module is used to compare the indicator values ​​with the warning thresholds and determine the pollution level of the target polluted area based on the comparison results.

[0088] The display module is used to display the processing results of the data processing module;

[0089] An alarm module is used to execute graded alarms based on the pollution level of the target polluted area, including low-concentration pollution alarms, medium-concentration pollution alarms, and high-concentration pollution alarms.

[0090] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments of the method, and will not be elaborated upon here.

[0091] In summary, the water pollution early warning system and method based on non-invasive quantitative analysis of clam behavior provided in this invention innovatively identifies the temporal response patterns of clam behavior through dual-modal behavioral response data of clam population migration and burrowing. It systematically reveals for the first time the differentiated characteristics of clam's short-term sensitive response (1 hour) and long-term cumulative behavior (6 hours) under pollutant exposure, providing richer biomarkers for pollution monitoring. A quantitative pollution level determination method is established, and through the synergistic analysis of multiple temporal indicators, the differentiated response patterns of temporal characteristic indicators under different pollutant conditions are clarified, enabling the differentiation of pollution stress at different concentration levels. Early warning capabilities are strengthened by utilizing the 1-hour escape diffusion rate as a rapid response indicator, allowing for the identification of pollution signals at the initial stage of exposure, thus gaining valuable time for emergency response. In conclusion, this invention, based on the quantitative analysis of clam behavior, achieves ecotoxicological assessment of the aquatic environment, providing effective technical support for freshwater ecosystem health monitoring.

[0092] In another exemplary embodiment, an electronic device is also provided, the electronic device including a memory and a processor, and a program stored in the memory, the processor executing the program to implement one or more steps of the aforementioned method.

[0093] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the water pollution early warning method based on non-invasive quantitative analysis of clam behavior described above. For example, the computer-readable storage medium may be a first memory including program instructions, which may be executed by a first processor of an electronic device to complete the water pollution early warning method based on non-invasive quantitative analysis of clam behavior described above.

[0094] In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable device, the computer program having a code portion for performing the aforementioned water pollution early warning method based on non-invasive quantitative analysis of clam behavior when executed by the programmable device. In some embodiments, part or all of the computer program may be loaded and / or installed on a device via ROM and / or a communication unit. When the computer program is loaded into RAM and executed by the CPU, one or more steps of the aforementioned method may be performed. Alternatively, in other embodiments, the CPU may be configured to perform one or more steps of the aforementioned method by any other suitable means (e.g., by means of firmware).

[0095] In the description of this invention, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0096] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A water pollution early warning method based on non-invasive quantitative analysis of river clam behavior, characterized in that, include: Image acquisition of multi-temporal behavioral data of river clams within the target pollution area; Short-term sensitive indicators and long-term stable indicators are extracted from the multi-temporal behavioral data, and the indicator values ​​of the short-term sensitive indicators and the long-term stable indicators are calculated. The pollution level of the target polluted area is determined by comparing the index value with the warning threshold.

2. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 1, characterized in that: The short-term sensitive indicators include the escape and diffusion rate of river clams within a first preset time period; the long-term stable indicators include the diffusion area ratio and burrowing rate of river clams within a second preset time period.

3. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 2, characterized in that: The second preset time includes the first preset time, and the duration of the second preset time is at least four times the duration of the first preset time.

4. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 2, characterized in that: The warning thresholds include basic thresholds and tiered thresholds; When the values ​​of the escape diffusion rate, diffusion area ratio, and burrowing rate do not exceed the basic threshold, the pollution level of the target polluted area is determined to be unpolluted. When the index value of the diffusion area ratio exceeds the basic threshold, and the index values ​​of the escape diffusion rate and / or the burrowing rate are within the ranges defined by the basic threshold and the classification threshold, the pollution level of the target pollution area is determined to be low concentration pollution. When the index value of the diffusion area ratio exceeds the basic threshold, and the index value of the escape diffusion rate or the burrowing rate exceeds the classification threshold, the pollution level of the target pollution area is determined to be medium concentration pollution. When the index value of the diffusion area ratio exceeds the basic threshold, and the index values ​​of the escape diffusion rate and the burrowing rate both exceed the classification threshold, the pollution level of the target polluted area is determined to be high concentration pollution.

5. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 4, characterized in that: The formula for calculating the index value of the escape diffusion rate is as follows: In the formula, The duration of the first preset time. For the first preset time of the river clam The area occupied by the escaped contaminated material within the target contaminated area. This represents the initial area occupied by river clams within the target contaminated area.

6. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 4, characterized in that: The formula for calculating the index value of the diffusion area ratio is as follows: In the formula, The duration of the second preset time. For the second preset time of the river clams The area occupied by the escaped contaminated material within the target contaminated area. The total area of ​​the target contaminated area.

7. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 4, characterized in that: The formula for calculating the hole-digging rate is as follows: In the formula, The total number of river clams The number of river clams whose shells are completely buried in the sand layer. The number of river clams with more than half of their shells buried in the sand layer. These are the weighting coefficients.

8. The water pollution early warning method based on non-invasive quantitative analysis of river clam behavior as described in claim 1, characterized in that: The image acquisition frequency is no less than 1 frame / minute.

9. A water pollution early warning system based on non-invasive quantitative analysis of river clam behavior, characterized in that, include: The image acquisition module is used to acquire multi-temporal behavioral data of river clams within the target pollution area; The behavior analysis module extracts short-term sensitive indicators and long-term stable indicators from the multi-temporal behavior data, and calculates the indicator values ​​of the short-term sensitive indicators and the long-term stable indicators. The data processing module is used to compare the indicator values ​​with the warning thresholds and determine the pollution level of the target polluted area based on the comparison results.

10. The water pollution early warning system based on non-invasive quantitative analysis of river clam behavior as described in claim 9, characterized in that, Also includes: The display module is used to display the processing results of the data processing module; An alarm module is used to execute graded alarms based on the pollution level of the target polluted area, including low-concentration pollution alarms, medium-concentration pollution alarms, and high-concentration pollution alarms.

Images