CN113656381A - Method for predicting sand storm trend in plateau area - Google Patents
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Abstract
The invention relates to a method for predicting the trend of a sand storm in plateau areas, which is used for establishing an ecological environment database and comprises a data acquisition module, a database management and information service system, a monitoring system module, a monitoring and early warning system technology integration module and a sand storm rocker monitoring module, on the basis of a database of the ecological environment of the sand storm occurrence and affected areas, according to remote sensing monitoring information such as a time distribution sequence, a space distribution sequence, a sand storm motion track and the like of the typical sand storm occurrence, a short-time early warning method of the sand storm is researched, through the synthetic analysis of the satellite cloud picture and the weather situation in the main sandstorm process of China for twenty years, the invention utilizes the satellite remote sensing technology and combines the ground observation data to track and observe the formation, development and diffusion of the sandstorm weather, the origin, path, intensity and influence range of the sand storm can be identified through analysis, and a practical sand weather monitoring and early warning system is formed.
Description
Technical Field
The invention relates to the field of sandstorm prediction, in particular to a method for predicting the trend of sandstorms in plateau areas.
Background
The sandstorm is a general term for both sandstorm and dust storm, and refers to a severe sandstorm weather phenomenon that a large amount of sand and dust substances on the ground are blown up and drawn into the air by strong wind, so that the air is particularly turbid and the horizontal visibility is less than one kilometer. Wherein the sandstorm is a sand-carrying storm formed by blowing a large amount of sand particles into the near stratum by strong wind; the dust storm is a storm formed by large wind involving a large amount of dust and other fine particles into the upper air, and the dust storm is an important environmental problem, is one of main processes of desertification (vegetation degradation, wind erosion, water erosion, salinization, soil hardening, organic matter reduction and poison accumulation), and is also a disastrous weather generated under special underlying surface conditions of desert, edges and the like. The physical mechanism by which a sandstorm occurs is quite complex, but the following three requirements must be met: the sand source, the strong wind and the low atmosphere are unstable in structure, and the three must be closely matched, but none is necessary.
The existing method for predicting the sand storm trend in plateau areas has the defects that the existing method predicts by observing weather change or abnormal behavior of natural animals nearby, but because the spatial-temporal distribution and the intensity change of sand are not uniform, three-dimensional time-varying information of the sand is hardly obtained by conventional observation, and accurate prediction and judgment are difficult.
Disclosure of Invention
The present invention is directed to overcoming the above problems in the prior art and providing a method for predicting the trend of sand storm in plateau area.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
a method for predicting the trend of a sand storm in a plateau area is characterized by comprising the following steps:
step S1: establishing an ecological environment database, which comprises a data acquisition module, a database management and information service system, a monitoring system module and a monitoring and early warning system technology integration module;
step S2: monitoring by a sand storm rocker, namely monitoring information by remote sensing according to a time distribution sequence, a space distribution sequence, a sand storm motion track and the like of typical sand storms on the basis of a sand storm occurrence and area ecological environment database;
step S3: the study of the short-term early warning method of the sand storm comprises the steps of analyzing a satellite cloud picture and weather conditions of the main sand storm process of China for twenty years, analyzing a cold air path generated by the sand storm, researching dynamic conditions of the sand storm generated by the weather conditions, researching the influence range of the sand storm and determining the influence of a terrain on the sand storm. The influence and the effect of environmental factors such as the earth surface on the sand storm are researched by utilizing national earth surface information;
step S4: designing a database, namely implementing a centralized and distributed storage form of the database according to the principle and the target established by the database, wherein the database types comprise a space vector database, a space grid database, an observation and statistics database and a text database;
step S5: the dynamic prediction method uses the result that the atmospheric motion change is acted by radiation from the sun, the earth rotation and the thermal force of the underlying surface, and uses a differential equation to describe and extrapolate the result to make prediction.
Preferably, in step S2, the data acquisition module acquires a color code of a remote sensing image of a sandstorm, a processing analysis of a multisource remote sensing image, and an analysis of surface characteristics of a sandstorm occurring and affected area, and further performs a sandstorm weather component analysis and a sandstorm motion trajectory analysis, and performs a sandstorm hazard analysis according to the influence of the intensity of the sandstorm and harmful substances on the environment, and performs a sandstorm monitoring and early warning experiment through the sandstorm monitoring and early warning model and the established sandstorm monitoring system.
Preferably, in the step S2, the NOAA-16 and FY-1D data are used to research the sandstorm information extraction technology, the sandstorm monitoring standard normalization and intensity calibration method, and the stationary meteorological satellite monitoring sandstorm information extraction method. Comprehensively researching the sand storm influence range extraction technology by using the satellite remote sensing technology and carrying out individual case analysis
Preferably, in step S3, on the basis of analyzing the cases of strong sand storm weather for dozens of times, classifying the sand storm weather, and establishing a short-term weather early warning model. Finding out forecasting focus on the basis of analyzing a mechanism of forming the sandstorm, further determining a corresponding weather map key area, selecting high-altitude and ground elements of a weather station in the key area, establishing a classification model, a thermal model and a power model, and finally forming a short-time early warning mode of the sandstorm. And (3) extracting the sandstorm information by using the satellite data to generate a sandstorm monitoring image, a sandstorm influence range schematic diagram, an area estimation diagram and a sandstorm intensity analysis diagram. And matching with a weather map and surface data to carry out short-time early warning work of the sand storm.
Preferably, in step S4, the spatial database is built by using Germidea and Arc/info systems, the text database is built by using Word systems, the observation and statistics database is built by using Excel systems and Oracle large-scale database management systems, and the building of the databases includes data classification coding, data entry, scanning, vectorization, editing, output, and reintegration of the existing databases.
Preferably, in step S5, the numerical weather forecast describes the atmospheric motion mainly by using the basic principles of hydrodynamics and thermodynamics, so as to obtain the mathematical physical equation set. Then, the weather map data of the starting time is input into a computer, and the forecast values of the height, the temperature, the humidity and the wind speed vector of the isobaric surface at a certain time, each place and each height in the future are calculated through a computer program, so that the future weather map is obtained, and the forecast of each meteorological element is made.
Has the advantages that:
the formation, development and diffusion of sand weather are tracked and observed by utilizing a satellite remote sensing technology and combining with ground observation data, and origin, path, strength and influence range of a sand storm can be identified through analysis, so that a practical sand weather monitoring and early warning system is formed.
Of course, it is not necessary for any one product that embodies the invention to achieve all of the above advantages simultaneously.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the prediction flow of the present invention;
FIG. 2 is a schematic diagram of the overall design 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. 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.
Example 1:
as shown in the figures 1-2, the invention relates to a method for predicting the trend of a sandstorm in plateau areas, wherein an ecological environment database is established and comprises a data acquisition module, a database management and information service system, a monitoring system module, a monitoring and early warning system technology integration module and a sandstorm rocker monitoring module, on the basis of a sandstorm occurrence and area influence ecological environment database, according to remote sensing monitoring information such as a typical sandstorm occurrence time distribution sequence, a typical sandstorm occurrence space distribution sequence, a sandstorm motion track and the like, a sandstorm short-time early warning method is researched, and by means of comprehensive analysis of a satellite cloud chart and a weather situation of a main sandstorm process in China for twenty years, a cold air path generated by the sandstorm is analyzed, a power condition of the sandstorm is generated by the weather situation, the influence range of the sandstorm is researched, and the influence of the terrain on the sandstorm is determined. The method is characterized in that national earth surface information is utilized to research the influence and action of environmental factors such as earth surface on sand dust storm, a database is designed, a centralized and distributed storage form of the database is implemented according to the principle and the target established by the database, the database types comprise a space vector database, a space grid database, an observation and statistics database and a text database, and a dynamic prediction method is characterized in that atmospheric motion change is utilized to be the result of the action of radiation from the sun, earth rotation and underlying surface heat, and a differential equation is used for describing and extrapolating for prediction.
The specific application of this embodiment is: the sand storm monitoring and early warning experiment method comprises the steps of collecting a sand storm remote sensing image color code, processing and analyzing a multi-source remote sensing image and analyzing sand storm generation and influence area ground surface characteristics through a data collection module, further carrying out sand storm weather component analysis and sand storm motion trail analysis, carrying out sand storm hazard analysis according to the influence of sand storm strength, harmful substances and the like on the environment, and carrying out the sand storm monitoring and early warning experiment through a sand storm monitoring and early warning model and an established sand storm monitoring system.
Example 2:
NOAA-16 and FY-1D data are used for researching a sandstorm information extraction technology, a sandstorm monitoring standard homogenization and strength calibration method and a stationary meteorological satellite monitoring sandstorm information extraction method. Comprehensively researching a sand storm influence range extraction technology by using a satellite remote sensing technology, and carrying out case analysis;
example 3:
on the basis of analyzing dozens of times of strong sand storm weather examples, classifying the sand storm weather and establishing a short-time weather early warning model. Finding out forecasting focus on the basis of analyzing a mechanism of forming the sandstorm, further determining a corresponding weather map key area, selecting high-altitude and ground elements of a weather station in the key area, establishing a classification model, a thermal model and a power model, and finally forming a short-time early warning mode of the sandstorm. And (3) extracting the sandstorm information by using the satellite data to generate a sandstorm monitoring image, a sandstorm influence range schematic diagram, an area estimation diagram and a sandstorm intensity analysis diagram. Matching with a weather map and surface data to carry out short-time early warning work of the sand storm;
example 4:
the method comprises the steps of establishing a spatial database by adopting a Germidea and Arc/info system, establishing a text database by adopting a Word system, establishing an observation and statistics database by adopting an Excel system and an Oracle large-scale database management system, establishing the database, including data classification coding, data entry, scanning, vectorization, editing, output, reintegration of the existing database and the like, and describing atmospheric motion by mainly using the basic principles of hydrodynamics and thermodynamics to obtain a mathematical physical equation set.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments have not been described in detail to avoid obscuring the description of the invention in its specific form, and it is to be understood that many modifications and variations are possible in light of the teaching of this specification. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A method for predicting the trend of a sand storm in a plateau area is characterized by comprising the following steps:
step S1: establishing an ecological environment database, which comprises a data acquisition module, a database management and information service system, a monitoring system module and a monitoring and early warning system technology integration module;
step S2: monitoring by a sand storm rocker, namely monitoring information by remote sensing according to a time distribution sequence, a space distribution sequence, a sand storm motion track and the like of typical sand storms on the basis of a sand storm occurrence and area ecological environment database;
step S3: the study of the short-term early warning method of the sand storm comprises the steps of analyzing a cold air path generated by the sand storm through synthetic analysis of a satellite cloud picture and weather conditions of the main sand storm process in China for twenty years, analyzing dynamic conditions of the sand storm generated by the weather conditions, studying the influence range of the sand storm, determining the influence of terrain on the sand storm, and studying the influence and action of environmental factors such as the earth surface and the like on the sand storm by utilizing national earth surface information;
step S4: designing a database, namely implementing a centralized and distributed storage form of the database according to the principle and the target established by the database, wherein the database types comprise a space vector database, a space grid database, an observation and statistics database and a text database;
step S5: the dynamic prediction method uses the result that the atmospheric motion change is acted by radiation from the sun, the earth rotation and the thermal force of the underlying surface, and uses a differential equation to describe and extrapolate the result to make prediction.
2. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: and step S1, collecting a color code of the remote sensing image of the sand storm, processing and analyzing the multi-source remote sensing image and analyzing the earth surface characteristics of the sand storm generation and influence area through the data collection module, and further carrying out analysis of sand weather components and analysis of the motion trail of the sand storm.
3. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: and step S1, analyzing the sand storm damage according to the sand storm intensity and the influence of harmful substances on the environment, and carrying out sand storm monitoring and early warning experiments through a sand storm monitoring and early warning model and an established sand storm monitoring system.
4. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: and step S2, researching a sandstorm information extraction technology, a sandstorm monitoring standard homogenization and intensity calibration method, a stationary meteorological satellite monitoring sandstorm information extraction method by using NOAA-16 and FY-1D data, comprehensively researching a sandstorm influence range extraction technology by using a satellite remote sensing technology, and carrying out case analysis.
5. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: in step S3, on the basis of analyzing the strong sand storm weather cases for dozens of times, classifying the sand storm weather, establishing a short-time weather early warning model, and finding out the forecast focus on the basis of analyzing the mechanism of sand storm formation.
6. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: and step S3, further determining a corresponding weather map key area, selecting high-altitude and ground elements of a weather station in the key area, establishing a classification model, a thermal model and a power model, finally forming a sand storm short-time early warning mode, applying satellite data to complete extraction of sand storm information, generating a sand storm monitoring image, a sand storm influence range schematic diagram, an area estimation and sand storm intensity analysis diagram, and performing sand storm short-time early warning work by matching the weather map and surface data.
7. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: in step S4, the spatial database is built by using Germidea and Arc/info systems, the text database is built by using Word system, the observation and statistics database is built by using Excel system and Oracle large database management system, and the database is built by performing data classification coding, data entry, scanning, vectorization, editing, output, and reintegration of the existing database.
8. The method for sandstorm trend prediction in plateau areas according to claim 1, wherein: in step S5, the numerical weather forecast is mainly based on the fundamental principles of hydrodynamics and thermodynamics to describe the atmospheric motion, so as to obtain a mathematical and physical equation set, and then the weather map data at the initial time is input into the computer, and the forecast values of the height, temperature, humidity and wind speed vector of the isobaric surface at a certain time, each location and each height in the future are calculated by the computer program, so as to obtain the future weather map, and further make the forecast of each meteorological element.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117725370A (en) * | 2024-02-18 | 2024-03-19 | 国家气象中心(中央气象台) | Minute-level sand and dust weather identification method, apparatus, equipment and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117725370A (en) * | 2024-02-18 | 2024-03-19 | 国家气象中心(中央气象台) | Minute-level sand and dust weather identification method, apparatus, equipment and medium |
| CN117725370B (en) * | 2024-02-18 | 2024-06-04 | 国家气象中心(中央气象台) | Minute-level sand and dust weather identification method, apparatus, equipment and medium |
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