CN112613778A - Mangrove plantation engineering restoration effect assessment method - Google Patents
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Abstract
The application provides an evaluation method of mangrove forest planting engineering restoration effect, which relates to the technical field of ecological evaluation, and determines the comprehensive weight of each data in water environment quality data, each data in sediment environment quality data and each data in mangrove forest structure data by the importance degree value of each data in mangrove forest evaluation data, the importance degree value of each data in water environment quality data, the importance degree value of each data in sediment environment quality data and the importance degree value of each data in mangrove forest structure data; determining corresponding scores based on detection values of all indexes in the water environment quality data, all indexes in the sediment environment quality data and all indexes in the mangrove forest structure data; and carrying out weighted summation based on the scores and the comprehensive weights so as to determine the evaluation result of the mangrove forest. Based on the technical scheme of this application, can effectively improve mangrove forest planting engineering repair effect's aassessment's simplicity and accuracy.
Description
Technical Field
The application relates to the technical field of ecological assessment, in particular to a mangrove forest planting engineering restoration effect assessment method.
Background
The mangrove forest is a wetland woody plant community which grows in the intertidal zone of the coast of tropical and subtropical estuary and is soaked by periodic tide water, not only provides food, habitat and breeding place for organisms in the mangrove forest ecological system, but also has various vital ecological functions of purifying water quality, protecting bank, fixing dike and the like. In 1980-2000, the world mangrove forest is reduced by 1-2% per year on average. China is no exception, and the mangrove forest area in China is sharply reduced by 68.7% in more than 40 years from the beginning of 50-90 years in the 20 th century, so that the coastal environment is continuously worsened. In 2020, the ministry of natural resources of China proposes "action plan for mangrove forest protection and repair" (2020 and 2025), which clearly indicates that ecological repair of mangrove forest is preferentially performed, forest depletion is persisted, local mangrove species are preferentially selected, and mangrove forest area is enlarged. By 2025, 9050 hectares of mangrove forest were built. Wherein, the 5500 hectare of Guangdong, 2000 hectare of Hainan, 1000 hectare of Guangxi, 350 hectare of Fujian and 200 hectare of Zhejiang.
A large number of mangrove ecological restoration projects are developed domestically for preventing wind and waves, stabilizing the bank, constructing coastal mangrove urban landscapes, realizing the integral target of a mangrove protection and restoration special action plan. The existing mangrove forest evaluation methods mostly evaluate the health condition of the mangrove forest, and the evaluation results obtained based on the evaluation methods can only reflect whether the mangrove forest is healthy or not, the study on the mangrove forest planting engineering repair effect is lacked, the mangrove forest repair current situation can not be completely reflected from multiple aspects, the mangrove forest repair engineering effects under different construction technologies can not be compared, and the simplicity and the accuracy of evaluation on the mangrove forest planting engineering repair effect are seriously affected. Therefore, a systematic and instructive ecological restoration evaluation method is urgently needed to be formed for the evaluation of the ecological restoration engineering effect of mangrove forest.
Disclosure of Invention
The application provides an evaluation method of mangrove forest planting engineering restoration effect, which can effectively improve the simplicity and accuracy of evaluation of mangrove forest planting engineering restoration effect.
In order to achieve the above technical effects, a first aspect of the present application provides a mangrove forest planting engineering restoration effect assessment method, including:
respectively determining the weight of each data in the mangrove forest evaluation data based on the importance degree value of each data in the preset mangrove forest evaluation data, wherein the mangrove forest evaluation data comprises the following components: water environment quality data, sediment environment quality data and mangrove forest structure data;
respectively determining the weight of each index in the water environment quality data, the weight of each index in the sediment environment quality data and the weight of each index in the mangrove forest structure data based on preset importance degree values of each index in the water environment quality data, the importance degree values of each index in the sediment environment quality data and the importance degree values of each index in the mangrove forest structure data;
respectively determining the comprehensive weight of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data based on the weight of each index in the mangrove forest evaluation data, the weight of each index in the water environment quality data, the weight of each index in the sediment environment quality data and the weight of each index in the mangrove forest structure data;
acquiring detection values of all indexes in the water environment quality data, all indexes in the sediment environment quality data and all indexes in the mangrove forest structure data;
determining a score corresponding to each detection value based on each detection value and a preset scoring rule;
and carrying out weighted summation based on the scores and the comprehensive weights, and determining the evaluation result of the mangrove forest based on the weighted summation result.
Based on the first aspect of the present application, in a first possible implementation manner, the water environment quality data includes: chemical oxygen demand of the water environment, pH value of the water environment, salinity of the water environment, dissolved oxygen content of the water environment, active phosphate content of the water environment and inorganic nitrogen content of the water environment.
Based on the first possible implementation manner of the first aspect of the present application, in a second possible implementation manner, the obtaining detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data includes:
acquiring a detection value of the chemical oxygen demand of the water environment based on a multi-parameter water quality analyzer;
acquiring a detection value of the pH value of the water environment based on the multi-parameter water quality analyzer;
acquiring a detection value of the salinity of the water environment based on the multi-parameter water quality analyzer;
based on a dissolved oxygen tester, obtaining a detection value of the dissolved oxygen content of the water environment;
obtaining the content of the water environment active phosphate based on an ascorbic acid reduction phosphomolybdic blue method;
and acquiring the detection value of the inorganic nitrogen content of the water environment based on an indophenol blue method, a diazo-azo method and a cadmium-copper column reduction method.
Based on the first aspect of the present application, in a third possible implementation manner, the sediment environment quality data includes: sediment environment pH value, sediment environment salinity, sediment environment organic matter content, sediment environment total phosphorus content and sediment environment total nitrogen content.
Based on the third possible implementation manner of the first aspect of the present application, in a fourth possible implementation manner, the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data includes:
acquiring the pH value of the environment of the sediment based on a pH meter;
acquiring the environmental salinity of the sediment based on a salinity meter;
acquiring the organic matter content of the sediment environment based on a muffle furnace burning method;
obtaining the total phosphorus content of the sediment environment based on an alkali fusion-molybdenum-antimony spectrophotometry;
and acquiring the total nitrogen content of the environment of the sediment based on an indophenol blue method, a diazo-azo method and a cadmium copper column reduction method.
Based on the first aspect of the present application, in a fifth possible implementation manner, the mangrove forest structure data includes: breast diameter, plant height, coverage rate and survival rate.
Based on the fifth possible implementation manner of the first aspect of the present application, in a sixth possible implementation manner, the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data includes:
obtaining said diameter at breast height, said plant height, said coverage and said survival rate based on measurements of mangrove forest within a predetermined range.
Based on the first aspect of the present application, in a seventh possible implementation manner, the acquiring detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data includes:
respectively determining the average value of more than one sampling value corresponding to each index in the water environment quality data as the detection value of each index in the water environment quality data;
respectively determining the average value of more than one sampling value corresponding to each index in the sediment environment quality data as the detection value of each index in the sediment environment quality data;
and respectively determining the average value of more than one sampling value corresponding to each index in the mangrove forest structure data as the detection value of each index in the mangrove forest structure data.
Based on the seventh possible implementation manner of the first aspect of the present application, in an eighth possible implementation manner, before determining, based on each of the detection values and a preset scoring rule, a score corresponding to each of the detection values, the method further includes:
respectively obtaining the standard deviation of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data;
the determining, based on the detection values and a preset scoring rule, a score corresponding to each detection value is specifically:
and determining the score corresponding to each detection value based on each detection value, each standard deviation and a preset scoring rule.
Based on the eighth possible implementation manner of the first aspect of the present application, in a ninth possible implementation manner, the obtaining the standard deviation of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data respectively includes:
and respectively calculating standard deviations corresponding to detection values of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data based on more than one sampling value corresponding to each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data and a one-factor variance analysis method.
As can be seen from the above, based on the technical scheme of the present application, the comprehensive weight of each data in the water environment quality data, each data in the sediment environment quality data, and each data in the mangrove forest structure data is determined by the importance degree value of each data in the mangrove forest assessment data, the importance degree value of each data in the water environment quality data, the importance degree value of each data in the sediment environment quality data, and the importance degree value of each data in the mangrove forest structure data; determining corresponding scores based on detection values of all indexes in the water environment quality data, all indexes in the sediment environment quality data and all indexes in the mangrove forest structure data; and carrying out weighted summation based on the scores and the comprehensive weights so as to determine the evaluation result of the mangrove forest. According to the technical scheme, the mangrove forest can be comprehensively analyzed from multiple aspects through a plurality of steps with low calculation amount to obtain a final evaluation result, and the simplicity and the accuracy of evaluation of the mangrove forest planting engineering restoration effect are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart of an embodiment of the method for evaluating the restoration effect of the mangrove forest planting engineering provided by the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways than those described herein, and it will be apparent to those of ordinary skill in the art that the present application is not limited by the specific embodiments disclosed below.
The application provides a mangrove forest planting engineering restoration effect assessment method, as shown in figure 1, including:
wherein, the mangrove forest evaluation data comprises: water environment quality data, sediment environment quality data and mangrove forest structure data;
specifically, the following table 1 can be listed according to the importance degree value of each data in the mangrove forest evaluation data:
TABLE 1
102, respectively determining the weight of each index based on the preset importance degree value of the index corresponding to each data;
in the embodiment of the application, the weight of each index in the water environment quality data, the weight of each index in the sediment environment quality data and the weight of each index in the mangrove forest structure data can be respectively determined based on preset importance degree values of each index in the water environment quality data, the importance degree values of each index in the sediment environment quality data and the importance degree values of each index in the mangrove forest structure data;
optionally, the water environment quality data includes: chemical oxygen demand of the water environment, pH value of the water environment, salinity of the water environment, dissolved oxygen content of the water environment, active phosphate concentration of the water environment and inorganic nitrogen concentration of the water environment.
Specifically, the importance degree values of each index in the water environment quality data can be listed as follows in table 2:
TABLE 2
Optionally, the sediment environment quality data includes: sediment environment pH value, sediment environment salinity, sediment environment organic matter content, sediment environment total phosphorus content and sediment environment total nitrogen content.
Specifically, the following table 3 can be listed according to the importance degree values of each index in the sediment environment quality data:
TABLE 3
Optionally, the mangrove forest structure data includes: breast diameter, plant height, coverage rate and survival rate.
Specifically, the following table 4 can be listed according to the importance degree values of each index in the mangrove forest structure data:
| diameter at breast height | Plant height | Coverage rate | Survival rate | Weight of | |
| Diameter at breast height | 1 | 2 | 1/2 | 1/2 | 0.216 |
| Plant height | 1/2 | 1 | 1/2 | 1/2 | 0.135 |
| Coverage rate | 2 | 2 | 1 | 1 | 0.324 |
| Survival rate | 2 | 2 | 1 | 1 | 0.324 |
TABLE 4
In the above tables 1 to 4, the data of each table except for the "weight" column is the importance level value of each data or index, wherein an importance level value of 1 indicates that the importance level of the head to which the row belongs is equal to that of the head to which the column belongs, an importance level value of more than 1 indicates that the importance level of the head to which the row belongs is more than that of the head to which the column belongs, and an importance level value of less than 1 indicates that the importance level of the head to which the row belongs is less than that of the head to which the column belongs; the weight of each row in each table is equal to the quotient of the sum of the importance values of the row divided by the sum of all the importance values in each table.
It should be noted that consistency determination may be performed on the matrix composed of all the importance values in each table to obtain the c.r. value (consistency ratio) corresponding to each matrix; when the C.R. value of a matrix is less than 0.1, the matrix is considered to have sufficient consistency, and when the C.R. value of the matrix is more than or equal to 0.1, each value in the matrix needs to be adjusted to a certain extent (namely, each importance degree value in a corresponding table is adjusted to a certain extent on the premise of ensuring that the importance relation of each data is not changed), so that the matrix has sufficient consistency; each importance level value may be preset based on a 1-7 ratio scale or other ratio scale.
in this embodiment, the comprehensive weights of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data may be determined based on the weight of each index in the mangrove forest evaluation data, the weight of each index in the water environment quality data, the weight of each index in the sediment environment quality data, and the weight of each index in the mangrove forest structure data, respectively;
specifically, the following table 5 can be obtained according to the weights of the tables 1 to 4:
TABLE 5
It should be noted that, the product of the weight of an index and the weight of the data in the belonging mangrove forest evaluation data can be determined as the comprehensive weight of the index; for example, the comprehensive weight 0.026 of the chemical oxygen demand of the water environment in table 5 is a product of the weight 0.182 of the chemical oxygen demand of the water environment and the weight 0.143 of the quality data of the water environment from the precision point to the three decimal places; the comprehensive weight of plant height of 0.096 in table 5 is the product of the weight of plant height of 0.135 and the weight of mangrove forest structure data of 0.714, accurate to three decimal places.
in the embodiment of the application, detection values of all indexes in the water environment quality data, all indexes in the sediment environment quality data and all indexes in the mangrove forest structure data can be obtained;
optionally, the water environment quality data includes: chemical oxygen demand of the water environment, pH value of the water environment, salinity of the water environment, dissolved oxygen content of the water environment, active phosphate content of the water environment and inorganic nitrogen content of the water environment;
the obtaining of the detection values of the indexes in the water environment quality data, the indexes in the sediment environment quality data and the indexes in the mangrove forest structure data includes:
acquiring a detection value of the chemical oxygen demand of the water environment based on a multi-parameter water quality analyzer;
acquiring a detection value of the pH value of the water environment based on the multi-parameter water quality analyzer;
acquiring a detection value of the salinity of the water environment based on the multi-parameter water quality analyzer;
based on a dissolved oxygen tester, obtaining a detection value of the dissolved oxygen content of the water environment;
obtaining the content of the water environment active phosphate based on an ascorbic acid reduction phosphomolybdic blue method;
and acquiring the detection value of the inorganic nitrogen content of the water environment based on an indophenol blue method, a diazo-azo method and a cadmium-copper column reduction method.
Optionally, the sediment environment quality data includes: sediment environment pH value, sediment environment salinity, sediment environment organic matter content, sediment environment total phosphorus content and sediment environment total nitrogen content;
the obtaining of the detection values of the indexes in the water environment quality data, the indexes in the sediment environment quality data and the indexes in the mangrove forest structure data includes:
acquiring the pH value of the environment of the sediment based on a pH meter;
acquiring the environmental salinity of the sediment based on a salinity meter;
acquiring the organic matter content of the sediment environment based on a muffle furnace burning method;
obtaining the total phosphorus content of the sediment environment based on an alkali fusion-molybdenum-antimony spectrophotometry;
and acquiring the total nitrogen content of the environment of the sediment based on an indophenol blue method, a diazo-azo method and a cadmium copper column reduction method.
Optionally, the mangrove forest structure data includes: breast height, plant height, coverage rate and survival rate;
the obtaining of the detection values of the indexes in the water environment quality data, the indexes in the sediment environment quality data and the indexes in the mangrove forest structure data includes:
obtaining said diameter at breast height, said plant height, said coverage and said survival rate based on measurements of mangrove forest within a predetermined range.
specifically, the water environment index assignment table can be shown in tables 6-11:
TABLE 6
TABLE 7
TABLE 8
TABLE 9
Watch 10
TABLE 11
Specifically, the deposit environment index assignment table may be as shown in tables 12-16:
TABLE 12
Watch 13
TABLE 14
Watch 15
TABLE 16
Specifically, the mangrove forest structure index assignment table can be shown in tables 17-20:
TABLE 17
Watch 18
Watch 19
Watch 20
Based on the above tables 6-20, the above preset scoring rules can be integrated as shown in table 21:
TABLE 21
It should be noted that, the reference values of plant height and breast diameter are selected from the natural mature mangrove community as a positive reference to determine the preset scoring rule based on the seawater quality standard (GB 3097-1997), the mangrove ecological monitoring technical regulation (HY/T081-2005), the nutrient grading standard of the second soil general survey in China, the evaluation of nitrogen, phosphorus and organic matter distribution and pollution risk of wetland deposits entering the lake outlet in the Er-sea basin, the mangrove afforestation technical regulation (LY/T2972-2018) and other related reference standards or methods; and determining the score corresponding to each detection value, namely determining the score corresponding to each index by combining each detection value and the preset score rule (table 21).
And 106, carrying out weighted summation based on the scores and the comprehensive weights, and determining the evaluation result of the mangrove forest based on the weighted summation result.
Specifically, the result of the weighted summation can be determined as an evaluation score of the mangrove forest planting engineering restoration effect;
the predefinable evaluation rules are shown in table 22:
TABLE 22
The evaluation result of the mangrove forest may be determined based on the evaluation score and the preset evaluation rule (table 7).
Optionally, the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data includes:
respectively determining the average value of more than one sampling value corresponding to each index in the water environment quality data as the detection value of each index in the water environment quality data;
respectively determining the average value of more than one sampling value corresponding to each index in the sediment environment quality data as the detection value of each index in the sediment environment quality data;
and respectively determining the average value of more than one sampling value corresponding to each index in the mangrove forest structure data as the detection value of each index in the mangrove forest structure data.
It should be noted that the more than one sampling value corresponding to each index may be obtained by sampling a predetermined number of randomly selected sampling points in the mangrove forest to be evaluated for a predetermined number of times.
Further, before determining the score corresponding to each of the detection values based on each of the detection values and a preset scoring rule, the method further includes:
respectively obtaining the standard deviation of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data;
the determining, based on the detection values and a preset scoring rule, a score corresponding to each detection value is specifically:
and determining the score corresponding to each detection value based on each detection value, each standard deviation and a preset scoring rule.
It should be noted that, the score corresponding to each of the above-mentioned detection values may be determined based on the sum of the detection value and the corresponding standard deviation of each index and a preset scoring rule, and since the sum of the detection value and the corresponding standard deviation of each index is a numerical range (e.g. the sum of the detection value and the corresponding standard deviation of an index is 4mg/L, and the standard deviation is 0.2mg/L, the sum of the detection value and the corresponding standard deviation of the index is 4 ± 0.2mg/L), the sum of the detection value and the corresponding standard deviation of each index may fall within two scoring ranges in the preset scoring rule shown in table 6 (if the sum of the detection value and the corresponding standard deviation of the chemical oxygen demand of the water environment is 4 ± 0.2mg/L, the minimum value and the maximum value of the numerical range may fall within two scoring ranges of 5 and 3 in table 6, respectively), and then the score of the corresponding index may be determined as the average of the two scoring (if the minimum value and the maximum value of the numerical range of an Within two scoring ranges, the score of the index can be determined to be 4), so as to improve the accuracy of the assessment method.
Further, the step of obtaining the standard deviation of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data includes:
and respectively calculating standard deviations corresponding to detection values of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data based on more than one sampling value corresponding to each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data and a one-factor variance analysis method.
Example 1:
in Shenzhen-mangrove restoration engineering, the engineering is a mangrove restoration area under the condition of a wind wave resistant area, and the planted tree species are tung flowers. Selecting 3 samples of 10m by 10m, wherein the selected reference sample is an unrepaired area with the same environment as the restored area, measuring the water environment index, the sediment environment index and the mangrove forest structure index, and the selected plant reference sample is a mangrove forest naturally growing in the Futian protected area, and performing data analysis based on SPSS 19.0 statistical software. The results are as follows:
TABLE 23
In table 23, the lower case letter marked at the end of each value indicates the significance of difference between each sampling value corresponding to the corresponding index, and a, b, c, and d respectively indicate that the significance of difference is extremely high, the significance of difference is higher, the significance of difference is lower, and the significance of difference is extremely low;
the salinity of the water environment of the comparison sample plot is 24.23, the average diameter at breast height of the tung flowers is 11.95cm, the average plant height of the tung flowers is 262.0cm, and the corresponding scores of the indexes are determined based on the sum of the detection values of the indexes in the table 23 and the corresponding standard deviations and a preset scoring rule, as shown in table 24:
| index (I) | Scoring |
| Chemical oxygen demand of water environment | 3 |
| Water environment pH value | 3 |
| Salinity of water environment | 3 |
| Water environment dissolved oxygen content | 5 |
| Content of active phosphate in water environment | 1 |
| Inorganic nitrogen content of water environment | 1 |
| pH value of deposit environment | 3 |
| Salinity of the sediment environment | 3 |
| Organic matter content of sediment environment | 5 |
| Total phosphorus content of deposit environment | 1 |
| Total nitrogen content of deposit environment | 1 |
| Diameter at breast height | 1 |
| Plant height | 1 |
| Coverage rate | 5 |
| Survival rate | 5 |
Watch 24
In combination with the integrated weights for each index in table 5, a weighted sum can be made as follows:
0.026*3+0.013*3+0.013*3+0.013*5+0.039*1+0.039*1+0.01*3+0.029*5+0.01*3+0.048*1+0.048*1+0.154*1+0.096*1+0.232*5+0.232*5＝3.13；
according to the preset evaluation rule shown in table 21, it can be determined that the 3.13 points indicate that the corresponding mangrove forest planting project has a good repairing effect.
Example 2:
in Shenzhen-mangrove restoration engineering, the engineering is a mangrove restoration area under the difficult vertical conditions of low tidal flat, and the planted tree species is the tung flower. Selecting 3 samples of 10m by 10m, wherein the selected reference sample is an unrepaired area with the same environment as the restored area, measuring the water environment index, the sediment environment index and the mangrove forest structure index, and the selected plant reference sample is a mangrove forest naturally growing in the Futian protected area, and performing data analysis based on SPSS 19.0 statistical software. The results are as follows:
TABLE 25
In table 25, the lower case letter marked at the end of each value indicates the difference significance between the sampling values corresponding to the corresponding index, and a, b, c, and d respectively indicate that the difference significance is extremely high, the difference significance is higher, the difference significance is lower, and the difference significance is extremely low;
the salinity of the water environment of the comparison sample plot is 24.23, the average diameter at breast height of the tung flowers is 11.95cm, the average plant height of the tung flowers is 262.0cm, and the corresponding scores of the indexes are determined based on the sum of the detection values of the indexes and the corresponding standard deviations in the table 25 and a preset scoring rule, as shown in table 26:
watch 26
In conjunction with the composite weights for each index in table 26, a weighted sum may be made as follows:
0.026*3+0.013*3+0.013*5+0.013*5+0.039*3+0.039*1+0.01*5+0.029*5+0.01*3+0.048*1+0.048*1+0.154*1+0.096*1+0.232*5+0.232*3＝2.83；
according to the preset evaluation rule shown in table 21, it can be determined that the score of 2.83 indicates that the corresponding mangrove forest planting project has a general repairing effect.
As can be seen from the above, the restoration effects of the embodiments 1 and 2 are in a general state, but the restoration effect of the embodiment 1 is better than that of the embodiment 2, so that the evaluation method can not only obtain the restoration effect of the mangrove forest planting engineering, but also compare the restoration effects of the mangrove forest planting engineering under different restoration technologies.
As can be seen from the above, based on the technical scheme of the present application, the comprehensive weight of each data in the water environment quality data, each data in the sediment environment quality data, and each data in the mangrove forest structure data is determined by the importance degree value of each data in the mangrove forest assessment data, the importance degree value of each data in the water environment quality data, the importance degree value of each data in the sediment environment quality data, and the importance degree value of each data in the mangrove forest structure data; determining corresponding scores based on detection values of all indexes in the water environment quality data, all indexes in the sediment environment quality data and all indexes in the mangrove forest structure data; and carrying out weighted summation based on the scores and the comprehensive weights so as to determine the evaluation result of the mangrove forest. The technical scheme can comprehensively analyze the mangrove forest from multiple aspects to obtain the final evaluation result, and improves the simplicity and accuracy of evaluation of the mangrove forest planting engineering restoration effect.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned functions may be distributed as different functional units and modules according to needs, that is, the internal structure of the apparatus may be divided into different functional units or modules to implement all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
It should be noted that, the methods and the details thereof provided by the foregoing embodiments may be combined with the apparatuses and devices provided by the embodiments, which are referred to each other and are not described again.
Those of ordinary skill in the art would appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described apparatus/device embodiments are merely illustrative, and for example, the division of the above-described modules or units is only one logical functional division, and the actual implementation may be implemented by another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A mangrove forest planting engineering restoration effect assessment method is characterized by comprising the following steps:
respectively determining the weight of each data in the mangrove forest evaluation data based on the importance degree value of each data in the preset mangrove forest evaluation data, wherein the mangrove forest evaluation data comprises the following components: water environment quality data, sediment environment quality data and mangrove forest structure data;
respectively determining the weight of each index in the water environment quality data, the weight of each index in the sediment environment quality data and the weight of each index in the mangrove forest structure data based on preset importance degree values of each index in the water environment quality data, the importance degree values of each index in the sediment environment quality data and the importance degree values of each index in the mangrove forest structure data;
respectively determining the comprehensive weight of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data based on the weight of each index in the mangrove forest evaluation data, the weight of each index in the water environment quality data, the weight of each index in the sediment environment quality data and the weight of each index in the mangrove forest structure data;
acquiring detection values of all indexes in the water environment quality data, all indexes in the sediment environment quality data and all indexes in the mangrove forest structure data;
determining a score corresponding to each detection value based on each detection value and a preset scoring rule;
and carrying out weighted summation based on the scores and the comprehensive weights, and determining the evaluation result of the mangrove forest based on the result of the weighted summation.
2. The evaluation method according to claim 1, wherein the water environment quality data comprises: chemical oxygen demand of the water environment, pH value of the water environment, salinity of the water environment, dissolved oxygen content of the water environment, active phosphate content of the water environment and inorganic nitrogen content of the water environment.
3. The evaluation method according to claim 2, wherein the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data comprises:
acquiring a detection value of the chemical oxygen demand of the water environment based on a multi-parameter water quality analyzer;
acquiring a detection value of the pH value of the water environment based on the multi-parameter water quality analyzer;
acquiring a detection value of the salinity of the water environment based on the multi-parameter water quality analyzer;
based on a dissolved oxygen tester, obtaining a detection value of the dissolved oxygen content of the water environment;
obtaining the content of the water environment active phosphate based on an ascorbic acid reduction phosphomolybdic blue method;
and acquiring the detection value of the inorganic nitrogen content of the water environment based on an indophenol blue method, a diazo-azo method and a cadmium-copper column reduction method.
4. The evaluation method of claim 1, wherein the sediment environmental quality data comprises: sediment environment pH value, sediment environment salinity, sediment environment organic matter content, sediment environment total phosphorus content and sediment environment total nitrogen content.
5. The evaluation method according to claim 4, wherein the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data comprises:
acquiring the pH value of the environment of the sediment based on a pH meter;
acquiring the environmental salinity of the sediment based on a salinity meter;
acquiring the organic matter content of the sediment environment based on a muffle furnace burning method;
obtaining the total phosphorus content of the sediment environment based on an alkali fusion-molybdenum-antimony spectrophotometry;
and acquiring the total nitrogen content of the environment of the sediment based on an indophenol blue method, a diazo-azo method and a cadmium copper column reduction method.
6. The evaluation method according to claim 1, wherein the mangrove forest structure data comprises: breast diameter, plant height, coverage rate and survival rate.
7. The evaluation method according to claim 6, wherein the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data comprises:
and obtaining the breast diameter, the plant height, the coverage rate and the survival rate based on the measurement of the mangrove forest in a preset range.
8. The evaluation method according to any one of claims 1 to 7, wherein the obtaining of the detection values of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data comprises:
respectively determining the average value of more than one sampling value corresponding to each index in the water environment quality data as the detection value of each index in the water environment quality data;
respectively determining the average value of more than one sampling value corresponding to each index in the sediment environment quality data as the detection value of each index in the sediment environment quality data;
and respectively determining the average value of more than one sampling value corresponding to each index in the mangrove forest structure data as the detection value of each index in the mangrove forest structure data.
9. The evaluation method according to claim 8, wherein the determining the score corresponding to each detection value based on each detection value and a preset scoring rule further comprises:
respectively obtaining the standard deviation of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data;
the determining, based on each of the detection values and a preset scoring rule, a score corresponding to each of the detection values specifically includes:
and determining the score corresponding to each detection value based on each detection value, each standard deviation and a preset scoring rule.
10. The evaluation method according to claim 9, wherein the obtaining of the standard deviation of each index in the water environment quality data, each index in the sediment environment quality data, and each index in the mangrove forest structure data, respectively, comprises:
and respectively calculating standard deviations corresponding to detection values of each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data based on more than one sampling value corresponding to each index in the water environment quality data, each index in the sediment environment quality data and each index in the mangrove forest structure data and a one-factor variance analysis method.
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