CN110069745B - Method for calculating biological life activity of bivalve shellfish - Google Patents

Method for calculating biological life activity of bivalve shellfish Download PDF

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CN110069745B
CN110069745B CN201910294440.5A CN201910294440A CN110069745B CN 110069745 B CN110069745 B CN 110069745B CN 201910294440 A CN201910294440 A CN 201910294440A CN 110069745 B CN110069745 B CN 110069745B
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CN110069745A (en
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吕婧
孔祥峰
梁军
孙中梁
吴宁
李雪莹
王茜
张颖
刘岩
盖茨基巴维尔
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Qingdao West Coast New Area Marine Development Bureau (qingdao Huangdao District Marine Development Bureau)
Institute of Oceanographic Instrumentation Shandong Academy of Sciences
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Qingdao West Coast New Area Marine Development Bureau (qingdao Huangdao District Marine Development Bureau)
Institute of Oceanographic Instrumentation Shandong Academy of Sciences
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K61/00—Culture of aquatic animals
    • A01K61/50—Culture of aquatic animals of shellfish
    • A01K61/54—Culture of aquatic animals of shellfish of bivalves, e.g. oysters or mussels
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/80—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management
    • Y02A40/81—Aquaculture, e.g. of fish

Abstract

The invention relates to a method for calculating biological activity of bivalve shellfish. The method comprises the following steps: (1) In time t, acquiring the opening and closing distance data of the biological double shells of the M double-shell shellfishes through a biosensor according to a certain sampling period; the sampling number of single bivalve shellfish in each period is n; (2) Calculating the displacement change value delta x between the two shells ij ，Δx ij ＝|x j ‑x i L, |; change in displacement deltax within each sampling period ij The total number of (A) is M.n; (3) For the obtained M.n double-shell displacement changes delta x ij Calculating the average value to obtain the absolute life activity A abc A value; (4) Obtaining minimum absolute activity A within time t abc MIN and maximum Absolute Activity A abc MAX; (5) Calculating the relative life activity A of the bivalve shellfish Relative to each other (ii) a Drawing a relative life activity curve; (6) carrying out Fourier transform on the curve to obtain periodic activity; and judging the life activity of the bivalve organisms according to the period activity. The method of the invention can simply and visually judge the biological life activity of the bivalve shellfish.

Description

Method for calculating biological life activity of bivalve shellfish
Technical Field
The invention relates to a method for calculating biological life activity, in particular to a method for calculating biological life activity of bivalve shellfish.
Background
The biological toxicity test of the environment is carried out by utilizing the biological behavior reaction, the antagonism or the synergy among pollutants can be analyzed, the degree of the water body pollution is comprehensively judged by reflecting the degree of the harm of the pollutants to the organisms through the specific index change of the tested organisms, and the health risk of the pollutants in the water to the environmental organisms is predicted. The biological monitoring and early warning technology is the key direction of technology and research urgently needed by water environment monitoring at present and is the inevitable trend of future development of environment monitoring.
The determination and evaluation of the biotoxicity of pollutants in water environment generally uses aquatic organisms such as phytoplankton, algae, fish and shellfish, and evaluates the comprehensive toxicity of environmental pollutants by using the form, motility, physiological metabolic transformation or death rate of the aquatic organisms as indexes. Aiming at the combination of the traditional biological detection method and the on-site on-line monitoring requirement, some modern water body biotoxicity monitoring and early warning equipment is gradually developed, which are a luminous bacteria monitoring system and a fish behavior reaction monitoring system, but the storage condition of luminous bacteria is harsh, and fish monitoring is only suitable for on-line monitoring and is difficult to realize in-situ monitoring. The bivalve shellfish organism is taken as a common characteristic water benthos, has the characteristics of rich organism species, numerous individuals, small activity, strong regional and environmental tolerance, low operation cost and the like, and is very suitable for in-situ monitoring. However, due to different sizes of shellfish biological individuals and different biological individual differences and sensitivities, it is difficult to form a standard biological behavior monitoring data, and the data obtained by monitoring the biological behaviors of a plurality of biological individuals at the same time has large difference. Therefore, a calculation method for the biological activity of the bivalve shellfish is urgently needed so as to establish a biological monitoring and early warning technology based on the biological behavior reaction of the bivalve shellfish.
Disclosure of Invention
In order to solve the problems, the invention adopts the following technical scheme:
a method for calculating the biological vital activity of bivalve shellfish comprises the following steps:
(1) In time t, acquiring the opening and closing distance data of the biological double shells of the M double-shell shellfishes through a biosensor according to a certain sampling period; within each period, the sampling frequency of a single bivalve shellfish is t j-i ，t i Data are collected once at a time t j Acquiring next data at any moment, wherein the sampling number is n;
(2) Calculating the displacement change value delta x between the two shells ij Wherein, Δ x ij ＝|x j -x i L, |; within each sampling period, the displacement changes Δ x ij The total number of (A) is M.n;
(3) For M.n double-shell displacement changes Deltax obtained in each sampling period ij Averaging to obtain the absolute life activity A abc Value, all sampling periods obtain N absolute life activities A abc A value;
(4) For N absolute life activities A abc The value is subjected to statistical analysis to obtain the minimum absolute activity A within the time t abc MIN and maximum Absolute Activity A abc MAX；
(5) Calculating the relative life activity A of the bivalve shellfish Relative to each other (ii) a Drawing a relative life activity curve;
(6) Carrying out Fourier transform on the obtained curve to obtain periodic activity; and judging the life activity of the bivalve organisms according to the period activity.
Further, in step (3), the absolute life activity A is ab The calculation formula of (2) is as follows:
A abc ＝∑Δx ij /(M·n)
further, in step (5), the relative vital activity A Relative to each other The calculation formula of (2) is as follows:
Figure BDA0002026016610000031
further, in step (6), the fourier transform is calculated by the following formula:
Figure BDA0002026016610000032
wherein, f is the frequency,
Figure BDA0002026016610000033
t is time.
Because the individual sizes of the mussels to be monitored are different, the displacement quantity is used for comparison, the periodic regularity of the activities of the mussels is difficult to reflect, the mussels are not comparable, and the periodic regularity of the mussels can be obtained by comparing different individuals through absolute activities and relative activities.
According to the method for calculating the biological life activity of the bivalve shellfish, the monitoring data of a plurality of bivalve organisms are converted into corresponding trend graphs through a series of calculations such as statistics, summation, fourier change and the like of displacement data of the bivalve shellfish organisms, the life activity of the bivalve organisms can be simply and visually judged, and technical support is provided for establishing water body biological toxicity evaluation based on the bivalve shellfish organisms.
Drawings
FIG. 1 is a relative vital activity curve of example 1 of the present invention;
FIG. 2 is a graph showing the trend peaks of poor vital activity after Fourier transformation of the vital activity curve in example 1;
fig. 3 is a schematic diagram of a trend peak of good vital activity after fourier transform of the vital activity curve in example 2.
Detailed Description
The method for calculating the biological activity of the bivalve shellfish according to the present invention will be described in detail with reference to the accompanying drawings and examples.
Example 1 a method for calculating the biological activity of bivalve shellfish, the method comprises the following steps:
(1) Setting a sampling period
The bivalve shellfish organism selects and uses the living creature of gulf characteristic benthos-purple mussel as the monitoring object, and the monitoring object is 5 mussels that are in different growth periods, have obvious individual difference, and monitoring frequency is data once of gathering for every 15s, and 1 minute is a sampling cycle, can obtain four data, and monitoring time is 25 minutes 15 seconds, and every mussel individual can gather in this period and obtain 101 data, finally obtains 5 groups 101 data.
(2) Obtaining biological data
The data of the opening and closing distance of the double shells of the common mussels are acquired by corresponding biosensors, and the acquired data are shown in table 1.
TABLE 1 double-shelled distance data collected at a frequency of 15 seconds/time for 5 Mytilus edulis
Figure BDA0002026016610000041
Figure BDA0002026016610000051
Figure BDA0002026016610000061
(3) Calculating the variation of displacement
All displacement changes, namely deltax, of each mussel within a sampling period are calculated respectively ij ＝|x j -x i L. the method is used for the preparation of the medicament. In this example, a total of 5 sets of 100 absolute displacement change data were obtained within a monitoring time of 25 minutes and 15 seconds, as shown in table 2.
Table 2 displacement change data of 25 minutes and 15 seconds of monitoring time for several common mussels
Figure BDA0002026016610000071
Figure BDA0002026016610000081
Figure BDA0002026016610000091
(4) Calculating absolute Life Activity
The absolute displacement change of 5 common mussels in 1 minute is summed, that is, 5 groups of data are total in 1 minute, each group has 4 absolute displacement change data and 20 data, the 20 data are summed, and then the 20 data are divided by 20 for averaging, thus obtaining the absolute life activity A abc . See table 3.
A abc ＝∑Δx ij /(M·n)
TABLE 3 100 Absolute Life Activity A abc Value of
Figure BDA0002026016610000092
Figure BDA0002026016610000101
Figure BDA0002026016610000111
Figure BDA0002026016610000121
(5) Calculating maximum and minimum absolute activities
By statistical analysis, a minimum average activity was taken as the minimum activity A from the 100 data in Table 3 abc MIN, 0.021845, taking a maximum average activity as the maximum absolute activity A abc MAX, i.e. 0.021985.
It should be noted that, due to the continuity of the monitoring time, when the starting point and the ending point of the selected monitoring time are different, within the same time period, 100 groups of absolute life activities a are in the same time period abc Minimum absolute Activity A in data abc MIN and maximum Absolute Activity A abc The value of MAX is not unique. For example: total 500 groups of absolute Life Activity A abc Data from time T 1 To time T m In between, the minimum absolute activity A of 100 absolute activities abc MIN is a; from time T 2 To time T (m+1) In between, the minimum absolute activity A of 100 absolute activities abc MIN is b, then a and b may or may not be the same.
(6) Calculating relative vital activity
Each absolute activity a calculated in step 4 abc With minimum absolute activity A abc Difference between MIN and maximum absolute activity A abc MAX and minimum Absolute Activity A abc Comparing the difference of MIN to obtain relative activity A Relative to each other ：
Figure BDA0002026016610000122
See table 4.
Table 4 calculated relative vital activity data
Figure BDA0002026016610000131
Figure BDA0002026016610000141
Figure BDA0002026016610000151
(7) Drawing a relative life activity curve
Plotting the time as the abscissa and the data in Table 4 as the ordinate yields the curve shown in FIG. 1.
(8) And performing Fourier transform on the obtained relative life activity curve, and taking the reciprocal of the curve, wherein the abscissa of the curve is frequency, and the corresponding ordinate is periodic activity. And (3) judging the life activity of the bivalve shellfish according to the obtained periodic activity: can present good periodicity, namely good life activity; but not to obtain a maximum and not to exhibit a good periodicity; then it is not viable, as shown in figure 2. The formed trend peak has no maximum value, and the biological activity of the group is judged to be poor, so that the water quality has a trend of deterioration.
Example 2 according to the steps 1 to 6 of example 1, 5 biological individuals were continuously monitored for 125 minutes and 15 seconds, and each biological individual obtained 500 displacement data, calculated the absolute and relative vital activities, plotted with time as abscissa and relative vital activity as ordinate, and subjected to fourier transform, as shown in fig. 3, which showed good periodicity, i.e., good vital activity, indicating that the biological individual was in a good ecological environment.

Claims (4)

1. A method for calculating the biological activity of bivalve shellfish is characterized by comprising the following steps: (1) In time t, acquiring the opening and closing distance data of the double shells of M bivalve organisms through a biosensor according to a certain sampling period; within each period, the sampling frequency of a single bivalve shellfish is t j-i ，t i Data are collected once at a time t j Acquiring next data at any time, wherein the sampling number is n;
(2) Calculating the displacement change value delta x between the two shells ij Wherein, Δ x ij ＝|x j -x i L, |; within each sampling period, the displacement changes Δ x ij The total number of (A) is M.n;
(3) For M.n double-shell displacement changes Deltax obtained in each sampling period ij Averaging to obtain the absolute life activity A abc Value, N absolute life activities A are obtained in all sampling periods abc A value;
(4) For N absolute life activities A abc The value is subjected to statistical analysis to obtain the minimum absolute activity A within the time t abc MIN and maximum Absolute Activity A abc MAX；
(5) Calculating the relative life activity A of the bivalve shellfish Relative to each other ；
Figure FDA0004055750260000011
The time is used as the abscissa, and the relative life activity A is used Relative to each other Drawing a relative life activity curve by taking the data as a vertical coordinate;
(6) Carrying out Fourier transform on the obtained curve, taking the reciprocal of the curve, wherein the abscissa of the curve is frequency, and the corresponding ordinate is periodic activity; and judging the life activity of the bivalve shellfish according to the period activity.
2. The method for calculating the biological activity of bivalve shellfish according to claim 1, characterized in that in step (3), said absolute activity A is abc The calculation formula of (2) is as follows:
A abc ＝∑Δx ij /(M·n)。
3. the method for calculating the biological activity of bivalve shellfish according to claim 1, characterized in that in step (6), the Fourier transform is calculated by the formula:
Figure FDA0004055750260000013
wherein, f is the frequency of the frequency,
Figure FDA0004055750260000012
t is time.
4. The method for calculating the biological vital activity of bivalve shellfish according to any of claims 1-3, characterized in that in step (6), the presence of good periodicity is good vital activity, while the absence of maximum value and good periodicity is poor vital activity.
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