CN117787576A - Construction method of digital forestry big data system - Google Patents
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Abstract
The invention discloses a construction method of a digital forestry big data system, which relates to the technical field of forestry resources, and aims to judge forestry development and carry out resource allocation optimization by accurately evaluating forestry development conditions, comprehensively considering forestry economy, ecology and resident influence factors, adjusting an ecology compensation scheme, realizing coordinated development of forestry development and ecology protection, providing scientific basis for decision making, being beneficial to improving the utilization efficiency of forestry resources, promoting coordinated development of forestry development and ecology protection, providing scientific basis for decision making, having important practical value and popularization significance, comprehensively considering forestry economy, ecology and resident influence factors by acquiring comprehensive forestry evaluation coefficients, comprehensively evaluating the forestry development conditions of a target area, providing multiple references for decision making, analyzing and adjusting the ecology compensation scheme according to the comprehensive forestry evaluation coefficients, being capable of better protecting and restoring ecology environment and realizing ecological benefit maximization.
Description
Technical Field
The invention relates to the technical field of forestry resources, in particular to a construction method of a digital forestry big data system.
Background
Along with the increasingly prominent problems of global climate change, forest resource management, ecological protection and the like, the requirements for accurate evaluation, reasonable configuration and sustainable utilization of forest resources are continuously increased, the construction and application of digital forest big data are being promoted in many areas, a series of scheme files and planning requirements are issued, and the construction of the digital forest big data is supported and promoted, so that a construction method of a digital forest big data system is generated.
The prior art lacks comprehensive and accurate forestry resource data; the forest health condition and ecological environment change cannot be effectively monitored; the decision may lack scientific basis, resulting in resource waste and environmental destruction; it is difficult to effectively cope with forest management challenges such as forest disasters and plant diseases and insect pests, and it is obvious that the construction method has at least the following problems: 1. the prior art may not fully utilize technical means such as big data analysis and artificial intelligence, and cannot deeply analyze and mine a large amount of forestry economy, ecology and resident influence data, so that a comprehensive and accurate evaluation result cannot be obtained, meanwhile, the influence of human factors on comprehensive evaluation cannot be completely eliminated, the evaluation result may be influenced by subjective consciousness and experience of an evaluator, and objectivity and scientificity are lacking.
2. The prior art may not provide an effective decision support tool, cannot intuitively present the evaluation result to a decision maker, lacks a visual and intelligent decision support function, affects the scientificity and accuracy of decision making, and therefore, cannot provide accurate resource configuration suggestions and optimization schemes, lacks pertinence and scientificity, and may cause blindness and inefficiency of resource configuration.
3. The prior art may not comprehensively consider the balance of ecological protection and economic development, and cannot provide scientific and reasonable ecological compensation scheme advice, thereby causing deterioration of ecological environment and waste of resources, and simultaneously, causing that forestry residents cannot obtain reasonable economic compensation, especially those relying on forestry resources for life.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide a construction method of a digital forestry big data system.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a construction method of a digital forestry big data system, which comprises the following steps: step one, obtaining influence data: and acquiring forestry economic influence data, forestry ecological influence data and forestry resident influence data corresponding to the current periodic target area.
Step two, analysis of influence data: according to the forestry economic influence data, the forestry ecological influence data and the forestry resident influence data corresponding to the current period target area, the forestry economic influence coefficient, the forestry ecological influence coefficient and the forestry resident influence coefficient corresponding to the current period target area are obtained through analysis.
Step three, obtaining comprehensive forestry evaluation coefficients: and analyzing and obtaining a comprehensive forestry evaluation coefficient corresponding to the current period target area according to the forestry economic influence coefficient, the forestry ecological influence coefficient and the forestry resident influence coefficient corresponding to the current period target area.
Step four, optimizing forestry resource allocation: and analyzing the forestry resource configuration corresponding to the current periodic target area according to the comprehensive forestry evaluation coefficient corresponding to the current periodic target area to obtain the optimal forestry resource configuration corresponding to the current periodic target area, and optimizing the current periodic target area according to the optimal forestry resource configuration.
Step five, adjusting an ecological compensation scheme: and analyzing the ecological compensation scheme corresponding to the current periodic target region according to the comprehensive forestry evaluation coefficient corresponding to the current periodic target region to obtain an optimal ecological compensation scheme corresponding to the current periodic target region, and adjusting the current periodic target region according to the optimal ecological compensation scheme.
Preferably, the forestry economic impact data comprises a forestry output value, a employment number and an economic contribution value, the forestry ecological impact data comprises a forest coverage rate, biomass corresponding to each vegetation level, a growth rate and photosynthesis intensity, and the forestry resident impact data comprises a forestry industry income amount, a forestry product sales amount and an ecological compensation amount corresponding to each forestry resident.
Preferably, the analysis obtains the forestry economic impact coefficient corresponding to the current period target area, and the specific analysis process is as follows: respectively marking forestry output values, employment numbers and economic contribution values corresponding to the current period target area as、/>Andsubstituting the calculation formula +.>Obtaining forestry economic influence coefficient corresponding to the current period target area>Wherein->、/>、/>Respectively expressed as standard forestry output value, standard employment number and standard economic contribution value corresponding to the set target area, +.>、/>、/>Respectively representing the weight factors corresponding to the forestry output values, the weight factors corresponding to the employment numbers and the weight factors corresponding to the economic contribution values of the set target areas.
Preferably, the analysis obtains the forestry ecological influence coefficient corresponding to the current period target area, and the specific analysis process is as follows: respectively marking forest coverage rate, biomass, growth rate and photosynthesis intensity corresponding to each vegetation level of the current period target region as、/>、/>And->Wherein->Numbers corresponding to each vegetation level ++>Substituting the calculation formula +.>Obtaining forestry ecological influence coefficient corresponding to the current period target area +.>Wherein->、/>、/>、/>Respectively expressed as standard forest coverage rate, standard biomass, standard growth rate and standard photosynthesis intensity corresponding to the set target region and vegetation level,、/>、/>、/>respectively representing the set weight factors corresponding to the forest coverage rate, the vegetation level biomass, the growth rate and the photosynthesis intensity of the target area.
Preferably, the analysis obtains the forestry resident influence coefficient corresponding to the current period target area, and the specific analysis process is as follows: respectively recording the income amount of forestry industry, the sales amount of forestry products and the ecological compensation amount corresponding to each forestry resident in the target area of the current period as、/>And->Wherein->Representing the corresponding number of each forestry resident +.>Substituting the calculation formula +.>Obtaining the forestry resident influence coefficient corresponding to the current period target area +.>Wherein->、/>、/>Respectively expressed as standard forestry industry income amount, standard forestry product sales amount and standard corresponding to the set forestry residentsEcological compensation amount->、/>、/>Respectively expressed as a set weight factor corresponding to the income amount of the forestry resident forestry industry, a set weight factor corresponding to the sales amount of the forestry product and a set weight factor corresponding to the ecological compensation amount.
Preferably, the analysis obtains a comprehensive forestry evaluation coefficient corresponding to the target area of the current period, and the specific analysis process is as follows: forestry economic influence coefficient corresponding to current period target areaEcological influence coefficient of forestry>And forestry resident influence coefficient->Substituting the calculation formula +.>Obtaining the comprehensive forestry evaluation coefficient corresponding to the current period target area>，/>、/>、/>Respectively setting a weight factor corresponding to the forestry economic influence coefficient, a weight factor corresponding to the forestry ecological influence coefficient and a weight factor corresponding to the forestry resident influence coefficient of the target areaAnd (5) a seed.
Preferably, the analysis is performed on the forestry resource configuration corresponding to the current periodic target area, and the specific analysis process is as follows: and comparing the comprehensive forestry evaluation coefficient corresponding to the current periodic target area with the comprehensive forestry evaluation coefficient corresponding to each forestry resource configuration in the database, and if the comprehensive forestry evaluation coefficient corresponding to the current periodic target area is the same as the comprehensive forestry evaluation coefficient corresponding to a certain forestry resource configuration in the database, taking the forestry resource configuration as the optimal forestry resource configuration corresponding to the current periodic target area.
Preferably, the specific analysis process of analyzing the ecological compensation scheme corresponding to the current periodic target area is as follows: and comparing the comprehensive forestry evaluation coefficient corresponding to the current periodic target area with the comprehensive forestry evaluation coefficients corresponding to the ecological compensation schemes in the database, and taking the ecological compensation scheme as an optimal ecological compensation scheme corresponding to the current periodic target area if the comprehensive forestry evaluation coefficient corresponding to the current periodic target area is the same as the comprehensive forestry evaluation coefficient corresponding to the ecological compensation scheme in the database.
The invention has the beneficial effects that: 1. the invention provides a construction method of a digital forestry big data system, which is used for judging the development of forestry and optimizing resource allocation by accurately evaluating the development condition of the forestry, comprehensively considering the economic, ecological and resident influence factors of the forestry, adjusting an ecological compensation scheme, realizing the coordinated development of the forestry and ecological protection, being beneficial to improving the utilization efficiency of the forestry resources and promoting the coordinated development of the forestry and ecological protection.
2. According to the embodiment of the invention, the forestry development condition and the influence factor of the current period target area can be accurately evaluated by acquiring and analyzing the forestry economic influence data, the forestry ecological influence data and the forestry resident influence data, so that a scientific basis is provided for decision making, the forestry economic, ecological and resident influence factors can be comprehensively considered by comprehensively acquiring the forestry evaluation coefficient, the forestry development condition of the target area is comprehensively evaluated, and multiple-aspect reference is provided for decision making.
3. According to the embodiment of the invention, whether the forestry development in the current area is ideal or not can be accurately estimated through judging the comprehensive forestry evaluation coefficient, and the forestry resource allocation is optimized, so that the utilization efficiency of the forestry resource is improved, meanwhile, the ecological compensation scheme is analyzed and adjusted according to the comprehensive forestry evaluation coefficient, the ecological environment can be better protected and repaired, and the ecological benefit maximization is realized.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention is shown in figure 1, and a construction method of a digital forestry big data system comprises the following steps:
step one, obtaining influence data: and acquiring forestry economic influence data, forestry ecological influence data and forestry resident influence data corresponding to the current periodic target area.
In a specific embodiment, the forestry economic impact data includes a forestry yield value, a employment number and an economic contribution value, the forestry ecological impact data includes a forest coverage rate, biomass corresponding to each vegetation level, a growth rate and photosynthesis intensity, and the forestry resident impact data includes a forestry industry income amount, a forestry product sales amount and an ecological compensation amount corresponding to each forestry resident.
It should be noted that, the forestry departments and the statistical institutions regularly issue statistical data including forestry output values, employment numbers and economic contribution values, and the statistical data are obtained through inquiry on official websites of related government departments or through official publications such as statistical annual notices, annual reports and the like of the related departments.
It should be further noted that research on ecological effects of forestry, including forest coverage, biomass corresponding to vegetation level, growth rate, photosynthesis intensity, etc., is generally performed by scientific research institutions and universities. These data are obtained by querying academic papers, research reports, or scientific projects of research institutions and university-related research institutions.
It should be further noted that forestry industry associations and related enterprises may issue data regarding the amount of forestry industry revenue, the amount of forestry product sales, and the amount of ecological compensation. The data is obtained through channels such as official websites of query industry association, industry reports or financial reports of enterprises.
Step two, analysis of influence data: according to the forestry economic influence data, the forestry ecological influence data and the forestry resident influence data corresponding to the current period target area, the forestry economic influence coefficient, the forestry ecological influence coefficient and the forestry resident influence coefficient corresponding to the current period target area are obtained through analysis.
In a specific embodiment, the analysis obtains the forestry economic impact coefficient corresponding to the target area of the current period, and the specific analysis process is as follows: respectively marking forestry output values, employment numbers and economic contribution values corresponding to the current period target area as、/>And->Substituting the calculation formula +.>Obtaining forestry economic influence coefficient corresponding to the current period target area>Wherein->、/>、/>Respectively expressed as standard forestry output value, standard employment number and standard economic contribution value corresponding to the set target area, +.>、/>、/>Respectively representing the weight factors corresponding to the forestry output values, the weight factors corresponding to the employment numbers and the weight factors corresponding to the economic contribution values of the set target areas.
It should be noted that the number of the substrates,、/>、/>are all greater than 0 and less than 1.
In another specific embodiment, the analysis obtains the forestry ecological impact coefficient corresponding to the current period target area, and the specific analysis process is as follows: respectively marking forest coverage rate, biomass, growth rate and photosynthesis intensity corresponding to each vegetation level of the current period target region as、/>、/>And->Wherein->Numbers corresponding to each vegetation level ++>Substituting the calculation formula +.>Obtaining forestry ecological influence coefficient corresponding to the current period target area +.>Wherein->、/>、/>、/>Respectively expressed as standard forest coverage rate, standard biomass, standard growth rate and standard photosynthesis intensity corresponding to the set target region and vegetation level>、/>、/>、/>Respectively representing the set weight factors corresponding to the forest coverage rate, the vegetation level biomass, the growth rate and the photosynthesis intensity of the target area.
It should be noted that the number of the substrates,、/>、/>、/>are all greater than 0 and less than 1.
In another specific embodiment, the analysis obtains the forestry resident influence coefficient corresponding to the current period target area, and the specific analysis process is as follows: respectively recording the income amount of forestry industry, the sales amount of forestry products and the ecological compensation amount corresponding to each forestry resident in the target area of the current period as、/>And->Wherein->Indicating the corresponding number of each forestry resident,substituting the calculation formula +.>Obtaining the forestry resident influence coefficient corresponding to the current period target area +.>Wherein->、/>、/>Respectively expressed as standard forestry industry income amount, standard forestry product sales amount and standard ecological compensation amount corresponding to the set forestry residents, < >>、/>、Respectively expressed as a set weight factor corresponding to the income amount of the forestry resident forestry industry, a set weight factor corresponding to the sales amount of the forestry product and a set weight factor corresponding to the ecological compensation amount.
It should be noted that the number of the substrates,、/>、/>are all greater than 0 and less than 1.
Step three, obtaining comprehensive forestry evaluation coefficients: and analyzing and obtaining a comprehensive forestry evaluation coefficient corresponding to the current period target area according to the forestry economic influence coefficient, the forestry ecological influence coefficient and the forestry resident influence coefficient corresponding to the current period target area.
In a specific embodiment, the analysis results inThe specific analysis process of the comprehensive forestry evaluation coefficient corresponding to the target area of the current period is as follows: forestry economic influence coefficient corresponding to current period target areaEcological influence coefficient of forestry>And forestry resident influence coefficient->Substituting the calculation formula +.>Obtaining the comprehensive forestry evaluation coefficient corresponding to the current period target area>，/>、/>、/>The weight factors corresponding to the forestry economic influence coefficients, the weight factors corresponding to the forestry ecological influence coefficients and the weight factors corresponding to the forestry resident influence coefficients of the set target areas are respectively adopted.
It should be noted that the number of the substrates,、/>、/>are all greater than 0 and less than 1.
According to the embodiment of the invention, the forestry development condition and the influence factor of the current period target area can be accurately evaluated by acquiring and analyzing the forestry economic influence data, the forestry ecological influence data and the forestry resident influence data, so that a scientific basis is provided for decision making, the forestry economic, ecological and resident influence factors can be comprehensively considered by comprehensively acquiring the forestry evaluation coefficient, the forestry development condition of the target area is comprehensively evaluated, and multiple-aspect reference is provided for decision making.
Step four, optimizing forestry resource allocation: and analyzing the forestry resource configuration corresponding to the current periodic target area according to the comprehensive forestry evaluation coefficient corresponding to the current periodic target area to obtain the optimal forestry resource configuration corresponding to the current periodic target area, and optimizing the current periodic target area according to the optimal forestry resource configuration.
In a specific embodiment, the analysis is performed on the forestry resource configuration corresponding to the current periodic target area, and the specific analysis process is as follows: and comparing the comprehensive forestry evaluation coefficient corresponding to the current periodic target area with the comprehensive forestry evaluation coefficient corresponding to each forestry resource configuration in the database, and if the comprehensive forestry evaluation coefficient corresponding to the current periodic target area is the same as the comprehensive forestry evaluation coefficient corresponding to a certain forestry resource configuration in the database, taking the forestry resource configuration as the optimal forestry resource configuration corresponding to the current periodic target area.
It should be noted that the forestry resource configuration includes: the forest land utilization mode is as follows: the utilization modes of various forest lands in different areas are determined, including protection forest lands, economic forest lands, ecological forest lands and the like, so that the balance of ecological benefit and economic benefit is realized. Tree species structure: and determining proper tree planting structures in various areas, including the planting proportion of main tree species, the selection of dominant tree species and the like, so as to improve the productivity and economic benefit of the forest land. Management mode: and determining management modes of different areas, including management modes, management measures, technical supports and the like of the forest lands, so as to improve the protection and utilization efficiency of the forest lands. Ecological protection measures: determining ecological protection measures in different areas, including forest protection, ecological restoration, fire prevention, disaster prevention and the like, so as to ensure ecological environment and biodiversity of the forest land.
The system is also provided with an initial forestry resource allocation scheme, which comprises parameters such as a forest utilization mode, tree species structure proportion, management mode and the like in each region. The initial setting modes can be set based on historical data, expert experience and model analysis, and further comprehensive forestry evaluation coefficients corresponding to each forestry resource configuration are obtained.
It should be noted that, there is a close correspondence between each forestry resource configuration and the comprehensive forestry evaluation coefficient. Specifically, each forestry resource allocation is specifically planned and set according to the forest utilization mode, tree structure, operation management mode and the like of different areas, and the comprehensive forestry evaluation coefficient is an index for comprehensively evaluating the forestry condition of the current periodic target area by comprehensively considering factors such as the economic influence of forestry, the ecological influence of forestry, the influence of forestry residents and the like, so that the comprehensive forestry evaluation coefficient corresponding to each forestry resource allocation is obtained.
Step five, adjusting an ecological compensation scheme: and analyzing the ecological compensation scheme corresponding to the current periodic target region according to the comprehensive forestry evaluation coefficient corresponding to the current periodic target region to obtain an optimal ecological compensation scheme corresponding to the current periodic target region, and adjusting the current periodic target region according to the optimal ecological compensation scheme.
In a specific embodiment, the specific analysis process of analyzing the ecological compensation scheme corresponding to the current periodic target area is as follows: and comparing the comprehensive forestry evaluation coefficient corresponding to the current periodic target area with the comprehensive forestry evaluation coefficients corresponding to the ecological compensation schemes in the database, and taking the ecological compensation scheme as an optimal ecological compensation scheme corresponding to the current periodic target area if the comprehensive forestry evaluation coefficient corresponding to the current periodic target area is the same as the comprehensive forestry evaluation coefficient corresponding to the ecological compensation scheme in the database.
It should be noted that the ecological compensation scheme includes: ecological protection and restoration: by adopting ecological protection and restoration measures, including measures of forest protection, wetland restoration, water and soil conservation and the like, the functions of an ecological system are protected and improved, the biological diversity is improved, the ecological environment damage is reduced, and the healthy development of the ecological system is promoted. Ecological restoration and reconstruction: the damaged ecological system is restored through ecological restoration and reconstruction projects including vegetation restoration, soil improvement, water body purification and the like, the ecological environment quality is improved, the ecological landscape is improved, and the stability and the anti-interference capability of the ecological system are enhanced. Ecological compensation mechanism: a sound ecological compensation mechanism is established, including ecological compensation standards, ecological compensation funds, ecological benefit assessment and the like, ecological environment protection and sustainable utilization are stimulated through compensation of ecological services, and ecological benefit maximization is achieved. Ecological economy development: promote ecological economy development, including development of ecological tourism, ecological agriculture, ecological industry and the like, realize virtuous circle of ecological environment protection and economic development, promote win-win of ecological benefit and economic benefit. Ecological civilization construction: advocates ecological civilization construction concepts, including propaganda education, popularization of science popularization, social participation and the like, promotes public environmental awareness, promotes the social world to participate in ecological environment protection and construction together, and promotes the ecological civilization construction to obtain substantial effects.
It should be noted that, an initial ecological compensation scheme is set in the system, including parameters such as ecological protection and restoration proportion, ecological restoration and reconstruction proportion, ecological compensation mode and the like in each region. The initial setting modes can be set based on historical data, expert experience and model analysis, and then comprehensive forestry evaluation coefficients corresponding to all ecological compensation schemes are obtained.
It should be further noted that ecological compensation schemes are generally aimed at restoring and protecting the ecosystem, improving the quality of the ecological environment, promoting ecological balance and sustainable development. The comprehensive forestry evaluation coefficient considers the economic, ecological and social factors of the forestry, comprehensively evaluates the comprehensive benefit and the sustainability of the forestry, is an index for evaluating the comprehensive benefit and the sustainability of the forestry, and considers the comprehensive influence of the economic, ecological and social factors of the forestry, thereby obtaining the comprehensive forestry evaluation coefficient corresponding to each ecological compensation scheme.
According to the embodiment of the invention, whether the forestry development in the current area is ideal or not can be accurately estimated through judging the comprehensive forestry evaluation coefficient, and the forestry resource allocation is optimized, so that the utilization efficiency of the forestry resource is improved, meanwhile, the ecological compensation scheme is analyzed and adjusted according to the comprehensive forestry evaluation coefficient, the ecological environment can be better protected and repaired, and the ecological benefit maximization is realized.
The invention provides a construction method of a digital forestry big data system, which is used for judging the development of forestry and optimizing resource allocation by accurately evaluating the development condition of the forestry, comprehensively considering the economic, ecological and resident influence factors of the forestry, adjusting an ecological compensation scheme, realizing the coordinated development of the forestry and ecological protection, being beneficial to improving the utilization efficiency of the forestry resources and promoting the coordinated development of the forestry and ecological protection.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined in the description.
Claims (8)
1. A method for constructing a digital forestry big data system, comprising:
step one, obtaining influence data: acquiring forestry economic influence data, forestry ecological influence data and forestry resident influence data corresponding to a current periodic target area;
step two, analysis of influence data: according to the forestry economic influence data, the forestry ecological influence data and the forestry resident influence data corresponding to the current period target area, analysis is conducted to obtain a forestry economic influence coefficient, a forestry ecological influence coefficient and a forestry resident influence coefficient corresponding to the current period target area;
step three, obtaining comprehensive forestry evaluation coefficients: according to the forestry economic influence coefficient, the forestry ecological influence coefficient and the forestry resident influence coefficient corresponding to the current period target area, analyzing and obtaining a comprehensive forestry evaluation coefficient corresponding to the current period target area;
step four, optimizing forestry resource allocation: according to the comprehensive forestry evaluation coefficient corresponding to the current periodic target area, analyzing the forestry resource configuration corresponding to the current periodic target area to obtain the optimal forestry resource configuration corresponding to the current periodic target area, and optimizing the current periodic target area according to the optimal forestry resource configuration;
step five, adjusting an ecological compensation scheme: and analyzing the ecological compensation scheme corresponding to the current periodic target region according to the comprehensive forestry evaluation coefficient corresponding to the current periodic target region to obtain an optimal ecological compensation scheme corresponding to the current periodic target region, and adjusting the current periodic target region according to the optimal ecological compensation scheme.
2. A method of constructing a digital forestry big data system according to claim 1, wherein the forestry economic impact data includes a forestry output value, a employment number and an economic contribution value, the forestry ecological impact data includes a forest coverage, biomass corresponding to each vegetation level, a growth rate and photosynthesis intensity, and the forestry resident impact data includes a forestry industry income amount, a forestry product sales amount and an ecological compensation amount corresponding to each forestry resident.
3. A method for constructing a digital forestry big data system according to claim 2, wherein the analysis obtains a forestry economic impact coefficient corresponding to the current period target area, and the specific analysis process is as follows:
respectively marking forestry output values, employment numbers and economic contribution values corresponding to the current period target area as、/>And->Substituting the calculation formula +.>Obtaining forestry economic influence coefficient corresponding to the current period target area>Wherein->、/>、/>Respectively expressed as standard forestry output value, standard employment number and standard economic contribution value corresponding to the set target area, +.>、/>、/>Respectively representing the weight factors corresponding to the forestry output values, the weight factors corresponding to the employment numbers and the weight factors corresponding to the economic contribution values of the set target areas.
4. A method for constructing a digital forestry big data system according to claim 3, wherein the analysis obtains the forestry ecological influence coefficient corresponding to the current period target area, and the specific analysis process is as follows:
respectively marking forest coverage rate, biomass, growth rate and photosynthesis intensity corresponding to each vegetation level of the current period target region as、/>、/>And->Wherein->Numbers corresponding to each vegetation level ++>Substituting the calculation formula +.>Obtaining forestry ecological influence coefficient corresponding to the current period target area +.>Wherein->、/>、/>、/>Respectively expressed as standard forest coverage rate, standard biomass, standard growth rate and standard photosynthesis intensity corresponding to the set target region and vegetation level>、/>、/>、/>Respectively representing the set weight factors corresponding to the forest coverage rate, the vegetation level biomass, the growth rate and the photosynthesis intensity of the target area.
5. A method for constructing a digital forestry big data system according to claim 4, wherein the analysis obtains the forestry resident influence coefficient corresponding to the current period target area, and the specific analysis process is as follows:
respectively recording the income amount of forestry industry, the sales amount of forestry products and the ecological compensation amount corresponding to each forestry resident in the target area of the current period as、/>And->Wherein->Representing the corresponding number of each forestry resident +.>Substituting the calculation formula +.>Obtaining the forestry resident influence coefficient corresponding to the current period target area +.>Wherein->、/>、/>Respectively expressed as standard forestry industry income amount, standard forestry product sales amount and standard ecological compensation amount corresponding to the set forestry residents, < >>、/>、/>Respectively expressed as a set weight factor corresponding to the income amount of the forestry resident forestry industry, a set weight factor corresponding to the sales amount of the forestry product and a set weight factor corresponding to the ecological compensation amount.
6. A method for constructing a digital forestry big data system according to claim 5, wherein the analysis obtains a comprehensive forestry evaluation coefficient corresponding to the current periodic target area, and the specific analysis process is as follows:
forestry economic influence coefficient corresponding to current period target areaEcological influence coefficient of forestry>And forestry resident influence coefficient->Substituting the calculation formula +.>Obtaining the comprehensive forestry evaluation coefficient corresponding to the current period target area>，/>、/>、/>The weight factors corresponding to the forestry economic influence coefficients, the weight factors corresponding to the forestry ecological influence coefficients and the weight factors corresponding to the forestry resident influence coefficients of the set target areas are respectively adopted.
7. A method for constructing a digital forestry big data system according to claim 6, wherein the analysis of the forestry resource configuration corresponding to the current periodic target area is performed by the following specific analysis process:
and comparing the comprehensive forestry evaluation coefficient corresponding to the current periodic target area with the comprehensive forestry evaluation coefficient corresponding to each forestry resource configuration in the database, and if the comprehensive forestry evaluation coefficient corresponding to the current periodic target area is the same as the comprehensive forestry evaluation coefficient corresponding to a certain forestry resource configuration in the database, taking the forestry resource configuration as the optimal forestry resource configuration corresponding to the current periodic target area.
8. A method for constructing a digital forestry big data system according to claim 6, wherein the analyzing and concrete analyzing process of the ecological compensation scheme corresponding to the current periodic target area is as follows:
and comparing the comprehensive forestry evaluation coefficient corresponding to the current periodic target area with the comprehensive forestry evaluation coefficients corresponding to the ecological compensation schemes in the database, and taking the ecological compensation scheme as an optimal ecological compensation scheme corresponding to the current periodic target area if the comprehensive forestry evaluation coefficient corresponding to the current periodic target area is the same as the comprehensive forestry evaluation coefficient corresponding to the ecological compensation scheme in the database.
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| US20090292558A1 (en) * | 2008-05-20 | 2009-11-26 | Nursing Home Quality, Llc | Nursing home evaluation system |
| CN114511228A (en) * | 2021-12-01 | 2022-05-17 | 重庆市生态环境科学研究院 | Ecological restoration effect evaluation method for hydro-fluctuation belt of three gorges reservoir area |
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| CN114511228A (en) * | 2021-12-01 | 2022-05-17 | 重庆市生态环境科学研究院 | Ecological restoration effect evaluation method for hydro-fluctuation belt of three gorges reservoir area |
| CN115271542A (en) * | 2022-09-08 | 2022-11-01 | 生态环境部南京环境科学研究所 | Mining area composite ecosystem restoration target formulation and function restoration method |
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