CN115358448A - Model for measuring and calculating comprehensive bearing capacity of rural resource environment - Google Patents
Model for measuring and calculating comprehensive bearing capacity of rural resource environment Download PDFInfo
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Abstract
The invention discloses a country resource environment comprehensive bearing capacity measuring and calculating model, which comprises a reference area selection module, an area layout module, a bearing capacity analysis module, a control module, a bearing capacity model construction module and a model prediction module, wherein the reference area selection module is electrically connected with the area layout module; according to the invention, through the cooperation of the reference area selection module, the area layout module, the bearing capacity analysis module, the control module, the bearing capacity model construction module and the model prediction module, comprehensive evaluation can be carried out from many aspects of population resources, land resources, ecological resources and house resources, and simulation prediction is carried out according to the comprehensive evaluation result, so that the comprehensive bearing capacity is in a moderate stage, the scale, range and strength of rural development are scientifically judged and effectively regulated, the simulation and prediction of future development scenes are realized, the bearing capacity is evaluated from a single element, and the overall function evaluation capacity of the system is improved.
Description
Technical Field
The invention belongs to the technical field of comprehensive bearing capacity measuring and calculating models, and particularly relates to a rural resource environment comprehensive bearing capacity measuring and calculating model.
Background
The resource environment refers to the natural foundation required by the social and economic development, and comprises ecology, resources, environment, disasters and the like; the bearing capacity refers to the supporting capacity of a natural foundation (a bearing body) on human production and living activities (a bearing object); under the background of vigorous demands on the homeland space from production, life and ecology, the problems of resource environment bearing capacity, development mode and dislocation of the current situation gradually become a hotspot and a research difficulty concerned by the public. In the normal state, in the face of a new development stage and situation, how the sustainable development of the village is coordinated with the comprehensive bearing capacity of the village is the key for correctly processing the relationship among economic and reasonable growth, town scale regulation and control and ecological environment protection. With the gradual and deep research of bearing capacity, the evaluation dimension of the bearing capacity is also converted from the consideration of single elements into the system consideration of comprehensive elements, and meanwhile, the cross comprehensive research of population, resources, environment, ecology, multiple factors and multiple levels is developed from the cooperation of single subjects and single factor research towards multiple subjects. Therefore, a comprehensive bearing capacity measuring and calculating model of the rural resource environment is urgently needed to scientifically judge and effectively regulate and control the scale, range and strength of rural development and realize simulation and prediction of future development scenes.
Disclosure of Invention
The invention aims to provide a country resource environment comprehensive bearing capacity measuring and calculating model, which can comprehensively evaluate population resources, land resources, ecological resources and house resources in various aspects by matching a reference region selection module, a region layout module, a bearing capacity analysis module, a control module, a bearing capacity model construction module and a model prediction module, and carry out simulation prediction according to the comprehensive evaluation result, so that the comprehensive bearing capacity is in a moderate stage, scientific judgment and effective regulation and control are carried out on the scale, range and strength of country development, and the simulation and prediction of future development scenes are realized, thereby solving the problems in the background technology.
In order to realize the purpose, the invention adopts the following technical scheme:
the country resource environment comprehensive bearing capacity measuring and calculating model comprises a reference area selection module, a region layout module, a bearing capacity analysis module, a control module, a bearing capacity model building module and a model prediction module, wherein the reference area selection module is electrically connected with the region layout module, the bearing capacity analysis module, the bearing capacity model building module and the region layout module are all electrically connected with the control module, the bearing capacity model building module is electrically connected with the model prediction module, the bearing capacity analysis module is electrically connected with the bearing capacity model building module, the region layout module comprises a region layering unit and a region distribution unit, the layering unit classifies a population resource layer, a land resource layer, an ecological resource layer and a house resource layer in a reference area, and the region distribution unit respectively establishes a population distribution map, a land distribution map, an ecological distribution map and a house distribution map according to the classification of the layering unit;
the model prediction module comprises an index system selection unit, a measuring and calculating method selection unit, a comprehensive measuring and calculating result unit and a subentry measuring and calculating result analysis unit, wherein the index system selection unit is electrically connected with the measuring and calculating method selection unit, the measuring and calculating method selection unit is electrically connected with the comprehensive measuring and calculating result unit, and the comprehensive measuring and calculating result unit is electrically connected with the subentry measuring and calculating result analysis unit.
Preferably, the reference area selection module selects an alternative reference area which is basically consistent with the area to be evaluated as the selected reference area by using data in a socioeconomic database of the nationwide equal administrative level area of the system, wherein the data in the socioeconomic database comprises population resource data, land resource data, ecological resource data and house resource data.
Preferably, the bearing capacity analysis module calculates difference coefficients among indexes of population resource data, land resource data, ecological resource data and house resource data by using an entropy method, and the specific calculation steps are as follows:
a1, performing index non-quantitative tempering treatment, processing original data by adopting a valve value method, and selecting a linear valve value method, wherein the formula is as follows:
wherein the content of the first and second substances,
after dimensionless processing, a normalized matrix is obtained and recorded as:
Y＝(y y ) nxm ；
a2, carrying out similarity quantization on all indexes, and calculating the index value proportion of the ith area under the jth index as follows:
a3, calculating an entropy value of the j index:
wherein e j Is the entropy value of the finger; k is a positive number greater than zero, k =1/ln (n) is set, and 0 ≦ e is ensured j ≤1；
A4, calculating the difference coefficient g of the first index j ＝1-e j The smaller the entropy value is, the larger the difference coefficient between indexes is, the more important the indexes are;
a5, authentication weight w j ：
A6, calculating a resource environment bearing capacity coefficient:
wherein v is i Is the comprehensive evaluation value of the ith area.
Preferably, the control module comprises a DSP main control chip, which separates the program memory from the data memory for instruction sets for single instruction stream and multiple instruction stream operations, when multiple multiply and accumulate operation units
When integrated into a DSP, parallel multiply and accumulate operations are performed.
Preferably, the bearing capacity model building module builds an index system of comprehensive bearing capacity according to the population resource data, the land resource data, the ecological resource data and the house resource data, and performs quantitative analysis on the comprehensive bearing capacity.
Preferably, the index system selection unit divides the comprehensive bearing into first-level indexes of population resource bearing capacity, land resource bearing capacity, ecological environment bearing capacity and real estate facility bearing capacity, selects a plurality of second-level indexes related to the first-level indexes, determines the weights of the first-level indexes and the second-level indexes by using a Delphi method, and finally establishes an index system for comprehensive bearing capacity evaluation.
Preferably, the measuring and calculating method selecting unit is used for comprehensively processing the primary indexes and the secondary indexes, when data are comprehensively processed, original data of each index are converted into a numerical value of 0-100, then assignment of each index is determined, and when partial data are missing, interpolation is used for supplementing missing data, so that the comprehensive bearing capacity level of an area can be measured.
Preferably, the comprehensive measurement and calculation result unit is used for measuring and calculating the comprehensive bearing capacity of the whole area to be evaluated according to the index system selection unit and the measurement and calculation method selection unit, the comprehensive bearing capacity comprises population resource bearing capacity, land resource bearing capacity, ecological environment bearing capacity and real estate facility bearing capacity, the population resource bearing capacity and the real estate facility bearing capacity belong to industrial development of an artificial part, the ecological environment bearing capacity and the land resource bearing capacity belong to industrial development of a natural resource part, and the comprehensive bearing capacity of the area to be evaluated can be improved through partial effort of manpower aiming at the area with low comprehensive bearing capacity, so that the whole comprehensive bearing capacity of the area to be evaluated is moderate.
Preferably, the subentry measurement and calculation result analysis unit is used for separately measuring and calculating each item in the comprehensive combined bearing capacity to obtain whether the population resource bearing capacity, the land resource bearing capacity, the ecological environment bearing capacity and the real estate facility bearing capacity are in a moderate stage, and if the bearing capacity is in a high stage, the resources with high bearing capacity are used for complementing the resources with low bearing capacity, so that the comprehensive bearing capacity is in a moderate stage.
Compared with the prior art, the rural resource environment comprehensive bearing capacity measuring and calculating model provided by the invention has the following advantages:
the invention mainly utilizes the cooperation of the reference region selection module, the region layout module, the bearing capacity analysis module, the control module, the bearing capacity model construction module and the model prediction module to comprehensively evaluate population resources, land resources, ecological resources and house resources in various aspects, and carries out simulation prediction according to the comprehensive evaluation result, so that the comprehensive bearing capacity is in a moderate stage, scientific judgment and effective regulation and control are carried out on the scale, range and strength of rural development, the simulation and prediction of future development scenes are realized, the condition that the bearing capacity is evaluated from a single element is overcome, and the overall function evaluation capacity of the system is improved.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The specific embodiments described herein are merely illustrative of the invention and do not delimit the invention. 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 invention.
The invention provides a country resource environment comprehensive bearing capacity measuring and calculating model, which comprises a reference area selection module, a regional layout module, a bearing capacity analysis module, a control module, a bearing capacity model construction module and a model prediction module, wherein the reference area selection module is electrically connected with the regional layout module;
and the reference area selection module selects an alternative reference area which is basically consistent with the area to be evaluated as a selected reference area by using data in a social-economic database of the nationwide equal administrative level areas of the system, wherein the data in the social-economic database comprises population resource data, land resource data, ecological resource data and house resource data.
The region layout module comprises a region layering unit and a region distribution unit, the layering unit classifies a population resource layer, a land resource layer, an ecological resource layer and a house resource layer according to a reference region, and the region distribution unit establishes a population distribution map, a land distribution map, an ecological distribution map and a house distribution map according to the classification of the layering unit;
the bearing capacity analysis module respectively calculates the difference coefficient among indexes of population resource data, land resource data, ecological resource data and house resource data by using an entropy method, and the specific calculation steps are as follows:
a1, performing index non-quantitative tempering treatment, processing original data by adopting a valve value method, and selecting a linear valve value method, wherein the formula is as follows:
wherein the content of the first and second substances,
after dimensionless processing, a normalized matrix is obtained and recorded as:
Y＝(y y ) nxm ；
a2, carrying out similarity quantization on the indexes, and calculating the index value proportion of the ith area under the jth index as follows:
a3, calculating the entropy value of the j index:
wherein e j Is the entropy value of the finger; k is a positive number greater than zero, k =1/ln (n),ensure that e is more than or equal to 0 j ≤1；
A4, calculating the difference coefficient g of the first index j ＝1-e j The smaller the entropy value is, the larger the difference coefficient between indexes is, the more important the indexes are;
a5, authentication weight w j ：
A6, calculating a resource environment bearing capacity coefficient:
wherein v is i Is the comprehensive evaluation value of the ith area.
The control module comprises a DSP main control chip which separates a program memory from a data memory and is used for instruction sets of single-instruction-stream and multi-instruction-stream operations when a plurality of multiplication and accumulation operation units
When integrated into a DSP, parallel multiply and accumulate operations are performed.
And the bearing capacity model building module builds an index system of the comprehensive bearing capacity according to the population resource data, the land resource data, the ecological resource data and the house resource data, and performs quantitative analysis on the comprehensive bearing capacity.
The model prediction module comprises an index system selection unit, a measuring and calculating method selection unit, a comprehensive measuring and calculating result unit and a subentry measuring and calculating result analysis unit, the index system selection unit is electrically connected with the measuring and calculating method selection unit, the measuring and calculating method selection unit is electrically connected with the comprehensive measuring and calculating result unit, and the comprehensive measuring and calculating result unit is electrically connected with the subentry measuring and calculating result analysis unit;
the index system selection unit divides the comprehensive bearing into first-level indexes of population resource bearing capacity, land resource bearing capacity, ecological environment bearing capacity and real estate facility bearing capacity, selects a plurality of second-level indexes related to the first-level indexes, determines the weights of the first-level indexes and the second-level indexes by using a Delphi method, and finally establishes an index system for comprehensive bearing capacity evaluation.
The selection unit of the measuring and calculating method is used for comprehensively processing the primary indexes and the secondary indexes, when data are comprehensively processed, original data of each index are converted into a numerical value of 0-100, then the value assignment of each index is determined, when partial data are missing, the missing data are supplemented by using an interpolation method, and the comprehensive bearing capacity level of an area can be measured and calculated.
The comprehensive measurement and calculation result unit is used for measuring and calculating the comprehensive bearing capacity of the whole area to be evaluated according to the index system selection unit and the measurement and calculation method selection unit, the comprehensive bearing capacity comprises population resource bearing capacity, land resource bearing capacity, ecological environment bearing capacity and real estate facility bearing capacity, the population resource bearing capacity and the real estate facility bearing capacity belong to artificial part of industrial development, the ecological environment bearing capacity and the land resource bearing capacity belong to natural resource part of industrial development, and the comprehensive bearing capacity of the area to be evaluated can be improved through partial effort of manpower aiming at the area with low comprehensive bearing capacity, so that the whole comprehensive bearing capacity of the area to be evaluated is moderate.
And the subentry measuring and calculating result analysis unit is used for independently measuring and calculating each item in the comprehensive bearing capacity to obtain whether the population resource bearing capacity, the land resource bearing capacity, the ecological environment bearing capacity and the real estate facility bearing capacity are in a moderate stage, and if the bearing capacity is in a high stage, the resources with high bearing capacity are used for complementing the resources with low bearing capacity, so that the comprehensive bearing capacity is in a moderate stage.
In summary, the method comprises the steps of firstly selecting an alternative reference area basically consistent with an area to be evaluated as a selected reference area by using data in a socioeconomic database of the nationwide equal administrative level area of the system, classifying a population resource layer, a land resource layer, an ecological resource layer and a house resource layer in the reference area through a layering unit, respectively establishing a population distribution map, a land distribution map, an ecological distribution map and a house distribution map through an area distribution unit according to the classification of the layering unit, respectively calculating difference coefficients among indexes of population resource data, land resource data, ecological resource data and house resource data by using an entropy method, simultaneously establishing an index system of comprehensive bearing capacity according to the population resource data, the land resource data, the ecological resource data and the house resource data, quantitatively analyzing the comprehensive bearing capacity, simulating and predicting future development scenes, comprehensively evaluating the population resource, the land resource, the ecological resource and the house resource according to the mode, simulating and predicting the comprehensive bearing capacity in a moderate stage, carrying out scientific judgment and effective regulation and regulation of the development, realizing the simulation of the future and the comprehensive bearing capacity, and improving the whole bearing capacity of the system.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (9)
1. The country resource environment comprehensive bearing capacity measuring and calculating model comprises a reference area selection module, an area layout module, a bearing capacity analysis module, a control module, a bearing capacity model construction module and a model prediction module, and is characterized in that: the reference area selection module is electrically connected with the area layout module, the bearing capacity analysis module, the bearing capacity model construction module and the area layout module are electrically connected with the control module, the bearing capacity model construction module is electrically connected with the model prediction module, the bearing capacity analysis module is electrically connected with the bearing capacity model construction module, the area layout module comprises an area layering unit and an area distribution unit, the layering unit classifies a population resource layer, a land resource layer, an ecological resource layer and a house resource layer in a reference area, and the area distribution unit respectively establishes a population distribution map, a land distribution map, an ecological distribution map and a house distribution map according to the classification of the layering unit;
the model prediction module comprises an index system selection unit, a measuring and calculating method selection unit, a comprehensive measuring and calculating result unit and a subentry measuring and calculating result analysis unit, wherein the index system selection unit is electrically connected with the measuring and calculating method selection unit, the measuring and calculating method selection unit is electrically connected with the comprehensive measuring and calculating result unit, and the comprehensive measuring and calculating result unit is electrically connected with the subentry measuring and calculating result analysis unit.
2. The rural resource environment comprehensive bearing capacity measuring and calculating model as claimed in claim 1, wherein: the reference area selection module selects an alternative reference area which is basically consistent with an area to be evaluated as a selected reference area by using data in a socioeconomic database of the nationwide equal administrative level area of the system, wherein the data in the socioeconomic database comprises population resource data, land resource data, ecological resource data and house resource data.
3. The rural resource environment comprehensive bearing capacity measuring and calculating model as claimed in claim 2, wherein: the bearing capacity analysis module respectively calculates the difference coefficient among indexes of population resource data, land resource data, ecological resource data and house resource data by using an entropy method, and the specific calculation steps are as follows:
a1, performing index non-quantity tempering treatment, processing original data by adopting a valve value method, and selecting a linear valve value method, wherein the formula is as follows:
wherein the content of the first and second substances,
after dimensionless processing, a normalized matrix is obtained and recorded as:
Y＝(y y ) nxm ；
a2, carrying out similarity quantization on the indexes, and calculating the index value proportion of the ith area under the jth index as follows:
a3, calculating an entropy value of the j index:
wherein e j Is the entropy value of the finger; k is a positive number greater than zero, k =1/ln (n) is set, and 0 ≦ e is ensured j ≤1；
A4, calculating the difference coefficient g of the first index j ＝1-e j The smaller the entropy value is, the larger the difference coefficient between indexes is, the more important the indexes are;
a5, authentication weight w j ：
A6, calculating a resource environment bearing capacity coefficient:
wherein v is i Is the comprehensive evaluation value of the ith area.
4. The model for measuring and calculating the comprehensive bearing capacity of the rural resource environment as claimed in claim 3, wherein: the control module comprises a DSP main control chip which separates a program memory from a data memory and is used for instruction sets of single-instruction-stream and multi-instruction-stream operations when a plurality of multiplication and accumulation operation units
When integrated into a DSP, parallel multiply and accumulate operations are performed.
5. The model for measuring and calculating the comprehensive bearing capacity of the rural resource environment as claimed in claim 4, wherein: the bearing capacity model building module builds an index system of comprehensive bearing capacity according to the population resource data, the land resource data, the ecological resource data and the house resource data, and performs quantitative analysis on the comprehensive bearing capacity.
6. The rural resource environment comprehensive bearing capacity measuring and calculating model as claimed in claim 5, wherein: the index system selection unit divides the comprehensive bearing into first-level indexes of population resource bearing capacity, land resource bearing capacity, ecological environment bearing capacity and real estate facility bearing capacity, selects a plurality of second-level indexes related to the first-level indexes, determines the weights of the first-level indexes and the second-level indexes by using a Delphi method, and finally establishes an index system for comprehensive bearing capacity evaluation.
7. The model for measuring and calculating the comprehensive bearing capacity of the rural resource environment as claimed in claim 6, wherein: the measuring and calculating method selection unit comprehensively processes the primary indexes and the secondary indexes, when data are comprehensively processed, original data of each index are converted into numerical values of 0-100, then each index is determined to be assigned, and when partial data are missing, an interpolation method is used for supplementing missing data, so that the comprehensive bearing capacity level of an area can be measured and calculated.
8. The rural resource environment comprehensive bearing capacity measuring and calculating model as claimed in claim 7, wherein: the comprehensive measurement and calculation result unit is used for measuring and calculating the comprehensive bearing capacity of the whole area to be evaluated according to the index system selection unit and the measurement and calculation method selection unit, wherein the comprehensive bearing capacity comprises population resource bearing capacity, land resource bearing capacity, ecological environment bearing capacity and real estate facility bearing capacity, the population resource bearing capacity and the real estate facility bearing capacity belong to artificial part industrial development, the ecological environment bearing capacity and the land resource bearing capacity belong to natural resource part industrial development, and the low comprehensive bearing capacity area can be improved through manpower part effort, so that the whole comprehensive bearing capacity of the area to be evaluated is moderate.
9. The rural resource environment comprehensive bearing capacity measuring and calculating model as claimed in claim 8, wherein: the subentry measuring and calculating result analysis unit is used for independently measuring and calculating each item in the comprehensive combined bearing capacity to obtain whether the population resource bearing capacity, the land resource bearing capacity, the ecological environment bearing capacity and the real estate facility bearing capacity are in a moderate stage, and if the bearing capacity is in a high stage, the resources with high bearing capacity are used for complementing the resources with low bearing capacity, so that the comprehensive bearing capacity is in a moderate stage.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116050703A (en) * | 2022-12-16 | 2023-05-02 | 中国科学院地理科学与资源研究所 | Village construction and resource environment bearing capacity coordination evaluation and coordination mode analysis method |
| CN117312476A (en) * | 2023-11-15 | 2023-12-29 | 金田产业发展(山东)集团有限公司 | Territorial space planning method and system based on GIS |
| CN117312476B (en) * | 2023-11-15 | 2024-06-07 | 金田产业发展(山东)集团有限公司 | Territorial space planning method and system based on GIS |
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2022
- 2022-07-26 CN CN202210885644.8A patent/CN115358448A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116050703A (en) * | 2022-12-16 | 2023-05-02 | 中国科学院地理科学与资源研究所 | Village construction and resource environment bearing capacity coordination evaluation and coordination mode analysis method |
| CN116050703B (en) * | 2022-12-16 | 2023-09-19 | 中国科学院地理科学与资源研究所 | Village construction and resource environment bearing capacity coordination evaluation and coordination mode analysis method |
| CN117312476A (en) * | 2023-11-15 | 2023-12-29 | 金田产业发展(山东)集团有限公司 | Territorial space planning method and system based on GIS |
| CN117312476B (en) * | 2023-11-15 | 2024-06-07 | 金田产业发展(山东)集团有限公司 | Territorial space planning method and system based on GIS |
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