CN117892038B - Wild animal road avoidance distance calculation method - Google Patents
Wild animal road avoidance distance calculation method Download PDFInfo
- Publication number
- CN117892038B CN117892038B CN202410290111.4A CN202410290111A CN117892038B CN 117892038 B CN117892038 B CN 117892038B CN 202410290111 A CN202410290111 A CN 202410290111A CN 117892038 B CN117892038 B CN 117892038B
- Authority
- CN
- China
- Prior art keywords
- road
- information
- different
- grades
- wild animal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 241001465754 Metazoa Species 0.000 title claims abstract description 96
- 238000004364 calculation method Methods 0.000 title claims abstract description 23
- 241000282414 Homo sapiens Species 0.000 claims abstract description 51
- 238000000034 method Methods 0.000 claims description 36
- 230000008569 process Effects 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 5
- 238000007619 statistical method Methods 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000009826 distribution Methods 0.000 claims description 3
- 238000013508 migration Methods 0.000 abstract description 13
- 230000005012 migration Effects 0.000 abstract description 13
- 238000011160 research Methods 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 9
- 238000005259 measurement Methods 0.000 description 8
- 241000894007 species Species 0.000 description 8
- 238000004590 computer program Methods 0.000 description 6
- 230000006399 behavior Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000012935 Averaging Methods 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010429 evolutionary process Effects 0.000 description 1
- 238000013467 fragmentation Methods 0.000 description 1
- 238000006062 fragmentation reaction Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Mathematical Physics (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Analysis (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Mathematical Optimization (AREA)
- Primary Health Care (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of wild animal protection, and discloses a wild animal road avoidance distance calculation method, which specifically comprises the following steps: obtaining road information of different wild animal living areas, wherein the road information comprises road grades and road weights; determining average vertical distances between wild animals and different roads under different road grades according to the road information; determining human footprint data and land coverage of roads and nearby people under different road grades according to the road information; determining ecological corridor weights under different road grades according to the road information; calculating the road avoidance distance; the influence of road grades, human footprint data, land coverage and ecological corridor on the migration of wild animals is considered, system research is conducted on different road grades, and different migration influences of important sections on the wild animals are considered in all aspects, so that the road avoidance distance is calculated more accurately, and the calculation accuracy is improved.
Description
Technical Field
The invention relates to the technical field of wild animal protection, in particular to a wild animal road avoidance distance calculation method.
Background
The interaction between wild animals and the human traffic system is a complex and challenging problem. With the expansion of human activities and the acceleration of the urban processes, wild animals are increasingly frequently contacted with roads, which results in an increasing occurrence of death of wild animals due to traffic accidents. Therefore, the avoidance behavior of the wild animals on the road is researched, and the avoidance distance of the wild animals on the road is determined, so that the method has important significance for protecting the wild animals, reducing traffic accidents and guaranteeing the normal operation of a human traffic system; the avoidance behavior of a wild animal on a road is affected by a variety of factors including the kind of animal, individual differences, the width of the road, the design of the road, traffic flow, etc. Different animal species have different behavior habits and perceptibility and therefore the avoidance distance to the road will also be different. Meanwhile, the road design and traffic flow also influence the avoidance behavior of wild animals, and the road avoidance distance is often used for evaluating the fragmentation influence of the wild animal habitat, but the avoidance distance is obtained by field investigation and measurement, and the manual measurement is easily influenced by factors such as personal experience, judgment and the like, so that the measurement result has certain subjectivity, errors are caused in the measurement result, the measurement precision is reduced, and the measurement efficiency is low.
Disclosure of Invention
In order to solve the technical problems, the invention provides a wild animal road avoidance distance calculation method which is used for improving the accuracy of measurement and improving the measurement efficiency.
A wild animal road avoidance distance calculation method comprises the following steps:
step S1, obtaining road information of different wild animal living areas, wherein the road information comprises road grades and road weights;
step S2, determining average vertical distances from wild animals to different roads under different road grades according to the road information;
Step S3, determining human footprint data and land coverage of roads and nearby roads under different road grades according to the road information;
S4, determining ecological corridor weights under different road grades according to the road information;
step S5, calculating a road avoidance distance according to the road information, the average vertical distance, the human footprint data, the land coverage and the ecological corridor weight in the steps S1-S4, wherein a calculation formula of the road avoidance distance is as follows:
；
In the method, in the process of the invention, For road avoidance distance,/>Road class for wild animal living area,/>Road weight for i-road such as road,/>For the average vertical distance between different wild animal species and a road with road class i,/>Human footprint data for a road with road class i,/>Land coverage for a road with road class i,/>The ecological corridor weight for the road with the road class i.
Further, the road grade is to divide the road according to administrative grade, including national roads, villages and abandoned roads.
Further, the road weight of the national road is 1, the road weight of the village road is 0.2, and the road weight of the abandoned road is 0.
Further, determining the average vertical distance specifically includes the following steps:
Step S20, obtaining the maximum vertical distance between different wild animal species and the road under different road grades;
S21, obtaining minimum vertical distances between different wild animal species and roads under different road grades;
step S22, average vertical distance is determined according to average value of the obtained maximum vertical distance and the obtained minimum vertical distance.
Further, in the step S3, the human footprint data and land coverage of the road and the vicinity of the road in different road grades are determined according to the road information, and the method specifically includes the following steps:
step S30, collecting human footprint information and land coverage information under different road grades;
s31, preprocessing the acquired human footprint information and the acquired land coverage information;
And S32, carrying out statistical analysis on the human footprint information and the land coverage information to obtain human footprint data and land coverage.
Furthermore, the national roads are divided into roads according to construction standards, including highways, primary roads and secondary roads.
Further, the road weight of the village road is assigned to 0.2.
Further, the value range of the ecological corridor weight under different road grades in the step S4 is 0-1.
Further, the road weight of the expressway and the primary road is 1, and the road weight of the secondary road is 0.5.
Further, the human footprint data refers to the number of human distributions in different wild animal living areas; the land coverage refers to areas of different coverage types in living areas of different wild animals.
The embodiment of the invention has the following technical effects:
1. On the basis of the maximum vertical distance measured in the field, the method considers the influence of road grades, human footprint data, land coverage and ecological corridor on the migration of wild animals, carries out system research on different road grades, comprehensively considers the different migration influence of important sections on the wild animals, ensures that the calculated road avoidance distance is more accurate, and improves the calculation precision.
2. According to the invention, on the basis of acquiring the avoidance distance through the field investigation in the prior art, a plurality of parameters are considered, so that the accuracy is improved, and the calculation efficiency is also improved.
3. According to the method, the migration influence of the key road sections on wild animals is considered, and the ecological corridor can be created by giving weight smaller than 1 to the road, so that the road avoidance distance is calculated more accurately, and the calculation accuracy is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for calculating a road avoidance distance of a wild animal according to embodiment 1 of the present invention;
fig. 2 is a block diagram of a wild animal road avoidance distance calculation system provided in embodiment 2 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the invention, are within the scope of the invention.
In the case of example 1,
Fig. 1 is a flowchart of a method for calculating a road avoidance distance of a wild animal according to embodiment 1 of the present invention. Referring to fig. 1, the method specifically comprises the following steps:
step S1, obtaining road information of different wild animal living areas, wherein the road information comprises road grades and road weights.
Road network data of a living area of the wild animals are obtained through a geographic information system, wherein the road network data consists of roads of various grades in the living area of the wild animals;
The different road grades divide roads according to administrative grades, including national roads, village roads and abandoned roads; in the embodiment, the assignment range of the road weight is defined as 0-1, the closer to 0 is that the smaller the avoidance distance of the current road grade is in the migration process of different wild animals, the more easily the road under the current road grade is traversed to finish migration, the closer to 1 is that the larger the avoidance distance of the road under the current road grade is in the migration process of different wild animals, the greater the obstacle of the current road to the migration process of the wild animals is represented, and at the moment, the wild animals can select to bypass the road under the current road grade to migrate; in particular, abandoned roads located between habitats of adjacent species, which are genetically adapted to reduce the avoidance distance by evolutionary processes, have little vehicular and artificial interference and two sides restored vegetation, providing the species with food and habitats, for which the road weight is assigned 0;
further, the national roads are divided into roads according to construction standards, including expressways, primary roads and secondary roads;
The expressway and the primary highway are surrounded by guardrails, the enclosed type expressway and the primary highway are strong, noise, vibration and lamplight have negative effects on habits of different wild animal types, in addition, the expressway and the primary highway are multi-lane highways which are specially used for vehicle direction and lane-dividing running, and can be controlled to enter and exit according to requirements, the traffic volume is more than 15000 vehicles/day, the traffic of different wild animal types can be further limited based on the two points, so that the different wild animal types are difficult to pass through or bypass the roads under the current road level to realize migration, therefore, the implementation assigns the road weights of the expressway and the primary highway to 1, the secondary highway is designed to be a double-lane highway according to the running direction of vehicles, the traffic volume is 5000-15000 buses/day, and based on the fact, the traffic volume of the secondary highway and the expressway with the enclosed facilities are less, the wild animal types are easier to pass through or bypass, and the implementation assigns the road weights of the secondary highway to be 0.5;
The village road is a road type except expressway, primary road and secondary road, the roadbed height of expressway, primary road and secondary road is 1.5-2.5m, the height of the closed facilities is 1m, the roadbed height of village road is 0.5-1.5m, the obstruction to different wild animal species is small, and the traffic flow is different from that of expressway and secondary road, so that it is easier for different wild animal species to pass through the current road, and based on this, the road weight of village road is assigned to 0.2.
And S2, determining average vertical distances from wild animals to different roads under different road grades according to the road information.
The method specifically comprises the following steps:
Step S20, obtaining the maximum vertical distance between different wild animal species and the road under different road grades;
According to the embodiment, the activity data of each wild animal in the current living range of the wild animal are investigated in the field, when the wild animal entity or the wild animal trace is seen, the road grade, the species name, the species type and the vertical distance between each species and the road of the wild animal are recorded, the collected data are preprocessed, and the maximum vertical distance between the wild animal and the road is extracted;
S21, obtaining minimum vertical distances between different wild animal species and roads under different road grades;
Extracting the minimum vertical distance between the wild animal and the road from the preprocessed data set;
step S22, determining an average vertical distance by averaging the obtained maximum vertical distance and the obtained minimum vertical distance;
and summing the maximum vertical distance and the minimum vertical distance, and then averaging to obtain the average vertical distance.
And step S3, determining the human footprint data and the land coverage of the roads and the nearby human footprint data under different road grades according to the road information.
The method specifically comprises the following steps:
step S30, collecting human footprint information and land coverage information under different road grades;
in the living range of wild animals, acquiring human footprint information and land coverage information of each road grade by using a national Qinghai-Tibet plateau scientific data center;
Further, the land coverage data refers to the degree of land vegetation, soil and ice and snow coverage, and is one of important indexes for reflecting the condition of an ecological system, and the land coverage data is obtained by utilizing a remote sensing image technology; classifying by using remote sensing images, distinguishing different earth surface coverage types, calculating the area of each coverage type to obtain the areas of different coverage types, and finally obtaining the land coverage by calculating the proportion of each coverage type in the total area;
The wild animal living area human footprint information refers to the specific influence of human activities on the living of the wild animals, the human footprint information comprises population number, urban degree, traffic and transportation conditions, industrialization level, agricultural reclamation conditions, travel activities and other influences generated by the human activities in the wild animal living area, the data are collected and analyzed according to the conditions of a research area, the specific influence of the human activities on the living of the wild animals is known, the influence trend of the human activities on the living of the wild animals is analyzed, and the analysis results show specific values and proportions of the human footprint data in different wild animal living areas or at different times in percentage or map; in order to reduce calculation errors, the human footprint data is defined as the number of human distributions in different wild animal living areas or at different times.
S31, preprocessing the acquired human footprint information and the acquired land coverage information;
the preprocessing is used for carrying out data cleaning and post-processing on the human footprint information and the land covering information, specifically, the collected human footprint information and the collected land covering information are subjected to repeated, wrong and incomplete information removal so as to ensure the accuracy and the integrity of the data, and the data is further subjected to standardized processing so as to eliminate the difference between the data and facilitate the subsequent statistical analysis;
Step S32, carrying out statistical analysis on the human footprint information and the land coverage information to obtain human footprint data and land coverage;
The statistical analysis of the human footprint information and the land coverage information is realized through correlation analysis, and an analysis result is obtained, so that the human footprint information and the land coverage under each road level are obtained;
S4, determining ecological corridor weights under different road grades according to the road information;
The ecological corridor is used as a channel of a wild animal migration process, in the embodiment, the ecological corridor is established under different road grades, the value range of the ecological corridor weight is set between 0.1 and 1, the ecological corridor weight is closer to 0.1, the important role of the ecological corridor in species migration is based on lower importance when planning and managing roads, the ecological corridor weight is closer to 1, the ecological corridor is completely not utilized, the consideration of species migration and ecological protection by road construction is minimized, the ecological corridor weight is set to 1 under different road grades, the setting of the ecological corridor is considered during road planning and construction, the species can be safely migrated and survived, the balance between the biological diversity and the integrity of an ecological system is protected while the road is met, and the ecological corridor weight setting of the ecological corridor can be established under different road grades to 0.5 for the embodiment.
Step S5, calculating a road avoidance distance according to the road information, the average vertical distance, the human footprint data, the land coverage and the ecological corridor weight in the steps S1-S4, wherein a calculation formula of the road avoidance distance is as follows:
；
Wherein, in the formula, For road avoidance distance,/>Road class for wild animal living area,/>Road weight for a road with road class i,/>For the average vertical distance between different wild animal species and a road with road class i,/>Human footprint data for a road with road class i,/>Land coverage for a road with road class i,/>The ecological corridor weight for the road with the road class i.
Reasons for the parameter selection in the present embodiment:
based on the road grade and the road weight, according to the denser road network, the higher the road grade is, the larger the crushing influence on the living area of the wild animals is, which indicates that the wild animals are continuously far away from the road with high road grade;
Based on the human footprint data and the land coverage, the human footprint data and/or the secrets are poor under different road grades, which indicates that the wild animals are also continuously far away from the road with high road grade;
Based on the ecological corridor weight, for roads on which the ecological corridor can be constructed, the wild animals can gradually approach the roads and migrate through the ecological corridor, and in this case, the ecological corridor weight is set to 0.5, so that the data of the avoidance distance of the wild animals to the roads can be further reduced.
In the case of example 2,
Fig. 2 is a block diagram of a wild animal road avoidance distance calculation system provided in embodiment 2 of the present invention. Referring to fig. 2, a wild animal road avoidance distance calculation system for implementing a wild animal road avoidance distance calculation method according to the above embodiment 1 includes the following modules:
the road information acquisition module: the method is used for acquiring road information;
a first acquisition module: the road information acquisition module is connected with the road information acquisition module and is used for acquiring an average vertical distance;
and a second acquisition module: the road information acquisition module is connected with the road information acquisition module and is used for acquiring human footprint data and land coverage;
And a third acquisition module: the ecological corridor weight acquisition module is connected with the road information acquisition module and used for acquiring ecological corridor weights;
road separation distance output module: and the method is used for outputting the calculation result of the road blocking distance.
In the case of example 3,
The embodiment of the invention provides electronic equipment, which comprises one or more processors and a memory;
the processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device 500 to perform the desired functions.
The memory may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by a processor to perform a wild animal road avoidance distance calculation method and/or other desired functions of any of the embodiments of the application described above. Various content such as initial arguments, thresholds, etc. may also be stored in the computer readable storage medium.
In one example, the electronic device may further include: input devices and output devices, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown). The input means may comprise, for example, a keyboard, a mouse, etc. The output device can output various information to the outside, including early warning prompt information, braking force and the like. The output means may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.
In addition to the methods and apparatus described above, embodiments of the present application may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform the steps of a wild animal road avoidance distance calculation method provided by any of the embodiments of the present application.
The computer program product may write program code for performing operations of embodiments of the present application in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, an embodiment of the present application may also be a computer-readable storage medium, on which computer program instructions are stored, which when executed by a processor, cause the processor to perform the steps of a wild animal road avoidance distance calculation method provided by any embodiment of the present application.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the present application. As used in this specification, the terms "a," "an," "the," and/or "the" are not intended to be limiting, but rather are to be construed as covering the singular and the plural, unless the context clearly dictates otherwise. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method or apparatus that includes the element.
It should also be noted that the positional or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the positional or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or element in question must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Unless specifically stated or limited otherwise, the terms "mounted," "connected," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.
Claims (10)
1. The method for calculating the road avoidance distance of the wild animals is characterized by comprising the following steps of:
step S1, obtaining road information of different wild animal living areas, wherein the road information comprises road grades and road weights;
step S2, determining average vertical distances from wild animals to different roads under different road grades according to the road information;
step S3, determining human footprint data and land coverage of roads and nearby roads under different road grades according to the road information; the human footprint data refer to the distribution quantity of human beings in living areas of different wild animals;
S4, determining ecological corridor weights under different road grades according to the road information;
step S5, calculating a road avoidance distance according to the road information, the average vertical distance, the human footprint data, the land coverage and the ecological corridor weight in the steps S1-S4, wherein a calculation formula of the road avoidance distance is as follows:
；
In the method, in the process of the invention, For road avoidance distance,/>Road class for wild animal living area,/>Road weight for a road with road class i,/>For the average vertical distance between different wild animal species and a road with road class i,/>Human footprint data for a road with road class i,/>Land coverage for a road with road class i,/>The ecological corridor weight for the road with the road class i.
2. The method of claim 1, wherein the road class is a class of road classification according to administrative classes, including national roads, villages and abandoned roads.
3. The method of claim 2, wherein the road weight of the national road is 1, the road weight of the village road is 0.2, and the road weight of the abandoned road is 0.
4. The method for calculating the avoidance distance of a wild animal road according to claim 1, characterized by determining the average vertical distance, comprising the steps of:
Step S20, obtaining the maximum vertical distance between different wild animal species and the road under different road grades;
S21, obtaining minimum vertical distances between different wild animal species and roads under different road grades;
step S22, average vertical distance is determined according to average value of the obtained maximum vertical distance and the obtained minimum vertical distance.
5. The method according to claim 1, wherein the step S3 of determining the human footprint data and the land coverage of the road and the vicinity of the road at different road grades according to the road information comprises the steps of:
step S30, collecting human footprint information and land coverage information under different road grades;
s31, preprocessing the acquired human footprint information and the acquired land coverage information;
And S32, carrying out statistical analysis on the human footprint information and the land coverage information to obtain human footprint data and land coverage.
6. The method for calculating the avoidance distance of a wild animal road according to claim 3, wherein the national road is a road divided according to a construction standard, including a highway, a primary road, and a secondary road.
7. A wild animal road avoidance distance calculation method according to claim 3 wherein the road weight of the village is assigned to 0.2.
8. The method for calculating the avoidance distance of a wild animal road according to claim 1, wherein the ecological corridor weight under different road grades in step S4 has a value ranging from 0 to 1.
9. The method of claim 6, wherein the expressway and the primary road have a road weight of 1 and the secondary road has a road weight of 0.5.
10. The method for calculating the road avoidance distance of wild animals according to claim 5, wherein the land coverage means areas of different coverage types in living areas of different wild animals.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410290111.4A CN117892038B (en) | 2024-03-14 | 2024-03-14 | Wild animal road avoidance distance calculation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410290111.4A CN117892038B (en) | 2024-03-14 | 2024-03-14 | Wild animal road avoidance distance calculation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117892038A CN117892038A (en) | 2024-04-16 |
| CN117892038B true CN117892038B (en) | 2024-06-07 |
Family
ID=90644373
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410290111.4A Active CN117892038B (en) | 2024-03-14 | 2024-03-14 | Wild animal road avoidance distance calculation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117892038B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108416144A (en) * | 2018-03-09 | 2018-08-17 | 大连理工大学 | A kind of judgment method that tunnel influences ecology corridor connectivity |
| CN108733044A (en) * | 2017-09-29 | 2018-11-02 | 北京猎户星空科技有限公司 | Barrier-avoiding method, device, robot and computer readable storage medium |
| CN109478070A (en) * | 2016-08-04 | 2019-03-15 | 深圳市大疆创新科技有限公司 | Obstacle recognition and preventing collision method and system |
| CN117454274A (en) * | 2023-12-21 | 2024-01-26 | 交通运输部天津水运工程科学研究所 | Method and system for evaluating ecological resistance value of living area of wild animal |
| CN117591960A (en) * | 2024-01-17 | 2024-02-23 | 交通运输部天津水运工程科学研究所 | Wild animal ecological corridor evaluation method and system |
-
2024
- 2024-03-14 CN CN202410290111.4A patent/CN117892038B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109478070A (en) * | 2016-08-04 | 2019-03-15 | 深圳市大疆创新科技有限公司 | Obstacle recognition and preventing collision method and system |
| CN108733044A (en) * | 2017-09-29 | 2018-11-02 | 北京猎户星空科技有限公司 | Barrier-avoiding method, device, robot and computer readable storage medium |
| CN108416144A (en) * | 2018-03-09 | 2018-08-17 | 大连理工大学 | A kind of judgment method that tunnel influences ecology corridor connectivity |
| CN117454274A (en) * | 2023-12-21 | 2024-01-26 | 交通运输部天津水运工程科学研究所 | Method and system for evaluating ecological resistance value of living area of wild animal |
| CN117591960A (en) * | 2024-01-17 | 2024-02-23 | 交通运输部天津水运工程科学研究所 | Wild animal ecological corridor evaluation method and system |
Non-Patent Citations (3)
| Title |
|---|
| 交通建设对野生动物的影响及保护措施研究;曹婷婷;李娟;师晨迪;;资源节约与环保;20181125(11);19-20 * |
| 可可西里四种有蹄类动物对道路的回避距离及保护建议;连新明;李晓晓;徐图;;生态学杂志;20121231;31(1);81-86 * |
| 马尾松林群落结构和生态效益对不同等级道路的响应;郭卓鑫;《中国优秀硕士学位论文全文数据库 农业科技辑》;20150215;正文第2-4章 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117892038A (en) | 2024-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Stipancic et al. | Vehicle manoeuvers as surrogate safety measures: Extracting data from the gps-enabled smartphones of regular drivers | |
| Caliendo et al. | A crash-prediction model for multilane roads | |
| Kaaf et al. | Transferability and calibration of Highway Safety Manual performance functions and development of new models for urban four-lane divided roads in Riyadh, Saudi Arabia | |
| Gunson et al. | A comparison of data sets varying in spatial accuracy used to predict the occurrence of wildlife-vehicle collisions | |
| Farid et al. | A new approach for calibrating safety performance functions | |
| Williamson et al. | Develop calibration factors for crash prediction models for rural two-lane roadways in Illinois | |
| Benda et al. | Road erosion and delivery index (READI): A model for evaluating unpaved road erosion and stream sediment delivery | |
| Kawakatsu et al. | Deep sensing approach to single-sensor vehicle weighing system on bridges | |
| Afghari et al. | Bayesian latent class safety performance function for identifying motor vehicle crash black spots | |
| CN117454274B (en) | Method and system for evaluating ecological resistance value of living area of wild animal | |
| CN112634614A (en) | Long downhill traffic incident real-time detection method, device and storage medium | |
| Venkataraman et al. | Extending the Highway Safety Manual (HSM) framework for traffic safety performance evaluation | |
| Nasrollahzadeh et al. | Identifying factors associated with roadside work zone collisions using machine learning techniques | |
| Sandt et al. | Identifying wrong-way driving hotspots by modeling crash risk and assessing duration of wrong-way driving events | |
| CN117591960B (en) | Wild animal ecological corridor evaluation method and system | |
| Mitsakis et al. | The sensor location problem: methodological approach and application | |
| CN117892038B (en) | Wild animal road avoidance distance calculation method | |
| Yu et al. | Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning | |
| CN117573794A (en) | Asian elephant road identification and road obstruction evaluation method and device | |
| Tarko et al. | Estimating the frequency of crashes as extreme traffic events | |
| Hegland et al. | Scale-dependent effects of landscape composition and configuration on deer-vehicle collisions and their relevance to mitigation and planning options | |
| CN115187048B (en) | Rail line multi-domain limit foreign matter intrusion event condition identification method and system | |
| Su et al. | Application of a geographic information system to analyze traffic accidents using nantou county, Taiwan, as an example | |
| Walmsley et al. | Accidents on modern rural single-carriageway trunk roads | |
| Aziz et al. | Calibration of the Highway Safety ManualGiven Safety Performance Functions for RuralMultilane Segments and Intersections in Kansas |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |