Meteorological and hydrological data management system based on multi-source data

Abstract

The invention belongs to the technical field of meteorological and hydrological data management, and relates to a meteorological and hydrological data management system based on multi-source data. According to the method, the meteorological data and the hydrological data of the target areas from different data sources are uniformly integrated and fused, the meteorological and hydrological data set of the target areas is obtained, a more comprehensive and more accurate data set is formed, data redundancy and inconsistency can be eliminated, the overall quality of the data is improved, and the working efficiency is improved. A basis is provided for scientific research and policy making, current risk indexes and future prediction risk indexes of various natural disasters in a target area are analyzed, and current risk management and future early warning management and measure management are carried out, so that a scientific basis is provided for making disaster prevention and reduction plans and distributing rescue resources; related departments and the public are helped to make disaster response preparations in advance, the disaster response efficiency and effect are improved, and the influence of disasters on the human society and the natural environment is reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of meteorological and hydrological data management, and relates to a meteorological and hydrological data management system based on multi-source data. Background Art

[0002] With the frequent occurrence of climate change and natural disasters, the demand for meteorological and hydrological data is growing. Whether it is scientific research, weather forecasting, disaster warning, or water resources management, environmental protection and other fields, accurate and timely meteorological and hydrological data support is needed. In the fields of meteorology and hydrology, the sources of data are becoming increasingly extensive. The data formats of many sources are different, the temporal and spatial resolutions are different, and the data volume is huge, which brings great challenges to the collection, integration and effective use of data. Therefore, the meteorological and hydrological data management system based on multi-source data is of great significance and role.

[0003] In the prior art, there are also some related solutions involving multi-source data management, for example, the invention patent application of a mine layer management system based on multi-source data with the Chinese patent publication number CN118279167B, which involves the field of layer management technology, including: image acquisition module, layer database module, feature extraction module, cluster analysis module and layer fusion module; the image acquisition module is used to collect multi-source mine image data; the layer database module is used to store mine design drawing data and multi-source mine image data; the feature extraction module is used to extract features from mine design drawing data and multi-source mine image data; the cluster analysis module is used to perform cluster analysis on feature point sets; the layer fusion module is used to coordinate reconstruct and layer fuse mine design drawing data and multi-source mine image data according to the classified feature point set. This application realizes the fusion of multi-source mine images by combining feature extraction, cluster analysis, coordinate reconstruction and layer fusion technology, reduces the difficulty of multi-source data integration, improves data utilization, and thus improves the support for management planning.

[0004] Although the above schemes have proposed some solutions for multi-source data management, they still have certain limitations: on the one hand, the existing schemes mainly achieve the integration of multi-source data by combining feature extraction, cluster analysis, coordinate reconstruction and layer fusion technology, which reduces the difficulty of multi-source data integration, improves data utilization, and thus improves management planning support. However, the existing schemes lack the ability to associate and merge multiple multi-source data, which is not conducive to providing a basis for subsequent scientific research and policy making.

[0005] On the other hand, existing solutions also lack further detection and analysis based on multi-source data. For example, in terms of meteorological data and hydrological data, it is impossible to analyze the current risks and future predicted risks of various natural disasters, which is not conducive to the formulation of disaster prevention and mitigation plans and the allocation of rescue resources. It is impossible to improve the efficiency and effectiveness of disaster response and reduce the impact of disasters on human society and the natural environment. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a meteorological and hydrological data management system based on multi-source data is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a meteorological and hydrological data management system based on multi-source data, including: a data set acquisition module, a data set parsing module, a management terminal and a database.

[0008] The data set acquisition module is used to detect the meteorological data and hydrological data of the target area in real time, obtain the meteorological data and hydrological data of the target area from different data sources, integrate and fuse them, obtain the meteorological and hydrological data set of the target area, and store them in the database, which includes meteorological data and hydrological data.

[0009] The data set analysis module analyzes the current risk indicators and future predicted risk indicators of various natural disasters in the target area based on the meteorological and hydrological data sets of the target area. The various natural disasters include flood disasters, drought disasters, cold wave disasters, mudslide disasters and landslide disasters.

[0010] The management terminal is used to carry out current risk management, future warning management and measure management for various natural disasters in the target area based on the current risk indicators and future predicted risk indicators of various natural disasters in the target area.

[0011] The database is used to store the meteorological and hydrological data sets of the target area, store the upper and lower limits of each parameter of the meteorological data and the upper and lower limits of each parameter of the hydrological data in the target area under the condition that no natural disasters occur, store the current risk index range corresponding to each risk level of each natural disaster, and store the future predicted risk index range corresponding to each predicted risk level of each natural disaster.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention obtains a meteorological and hydrological data set of the target area by unified integration and fusion of the meteorological data and hydrological data of the target area from different data sources, thereby forming a more comprehensive and accurate data set, which helps to eliminate data redundancy and inconsistency, improve the overall quality of data, and provide a basis for scientific research and policy making.

[0013] 2. By analyzing the current risk indicators and future predicted risk indicators of various natural disasters in the target area, the present invention provides a scientific basis for formulating disaster prevention and mitigation plans and allocating rescue resources, helps relevant departments and the public to prepare for disaster response in advance, improves the efficiency and effectiveness of disaster response, and reduces the impact of disasters on human society and the natural environment.

[0014] 3. The present invention conducts current risk management, future warning management and measure management for various natural disasters in the target area, formulates risk management measures in a targeted manner, reduces casualties and property losses when disasters occur, and also helps relevant departments to plan in advance and prepare for possible natural disasters in the future, thereby reducing disaster losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0017] Figure 2 It is a flow chart for implementing the module steps of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] See also Figure 1 As shown, the present invention provides a meteorological and hydrological data management system based on multi-source data, and the specific modules are distributed as follows: data set acquisition module, data set parsing module, management terminal and database. The connection mode between the modules is: the data set acquisition module is connected with the data set parsing module, the data set parsing module is connected with the management terminal, and the database is connected with the data set acquisition module, the data set parsing module and the management terminal respectively.

[0020] The data set acquisition module is used to detect the meteorological data and hydrological data of the target area in real time, obtain the meteorological data and hydrological data of the target area from different data sources, integrate and fuse them, obtain the meteorological and hydrological data set of the target area, and store them in the database, which includes meteorological data and hydrological data.

[0021] It needs to be further explained that the module step implementation flow chart is as follows Figure 2 shown.

[0022] It should be further explained that the meteorological data and hydrological data of the target area from the different data sources are obtained in ways including but not limited to meteorological observation stations, hydrological stations, satellite remote sensing, radars and ocean buoys.

[0023] As a preferred feasibility example, the specific method for obtaining the meteorological and hydrological data set of the target area is: A1. Select the target data format: comprehensively consider the characteristics of the meteorological data and hydrological data of the target area in different formats from different data sources, the convenience of subsequent storage and use, and other factors, and select a unified target data format.

[0024] In a specific example, the characteristics include but are not limited to structured data, semi-structured data, unstructured data, time series data, spatial data, etc.

[0025] The subsequent storage includes but is not limited to storage system compatibility and storage efficiency.

[0026] The convenience of use includes but is not limited to the convenience of data access and query, the convenience of data processing and analysis, and the convenience of data sharing and exchange.

[0027] In a specific example, the data format includes but is not limited to NetCDF format and JSON format.

[0028] It needs to be further explained that if the meteorological data and hydrological data of the target area in different formats from different data sources are characterized by being unstructured data, the subsequent storage of the meteorological data and hydrological data of the target area in different formats from different data sources requires high storage efficiency, and the convenience of using the meteorological data and hydrological data of the target area in different formats from different data sources mainly considers the convenience of data processing and analysis, then the NetCDF format can be selected as the unified target data format.

[0029] It should be noted that the advantages of the NetCDF format include but are not limited to unstructured data storage, efficient storage of multi-dimensional data, integrated storage of data and metadata, and good support for scientific computing and data processing.

[0030] A2. Data format conversion: Use data processing tools to convert the original data formats of meteorological data and hydrological data of the target area from different data sources into the target data format.

[0031] In a specific example, the data processing tools include but are not limited to GDAL library, etc.

[0032] A3. Space-time registration: On the basis of the unified space-time resolution and target data format of the meteorological data and hydrological data of the target area from different data sources, the meteorological data and hydrological data of the target area from different data sources are further accurately registered in time and space, that is, the data from different data sources at the same time correspond to the same spatial position, and the data at the same spatial position are coherently matched in the time series.

[0033] A specific example is to make an accurate temporal and spatial correspondence between the cloud map data of the target area at a certain moment obtained by satellite remote sensing and the temperature, precipitation and other data of the area at the same moment obtained by the ground meteorological observation station, so as to facilitate subsequent comprehensive analysis.

[0034] A4. Data merging and association: The meteorological data and hydrological data of the target area from different data sources are merged and associated according to the merging method to obtain the meteorological and hydrological data sets of the target area from different data sources.

[0035] As a specific example, the merging method includes but is not limited to relational databases such as MySQL and Oracle.

[0036] A5. Multi-source data fusion: According to the characteristics and fusion objectives of the meteorological and hydrological datasets of the target area from different data sources, a suitable fusion algorithm is selected to fuse them to obtain the meteorological and hydrological datasets of the target area.

[0037] In a specific example, the fusion algorithm includes but is not limited to a weighted average method and a Kalman filter method.

[0038] As a preferred feasibility example, the meteorological data of the target area includes the temperature, air pressure, wind speed, rainfall, snowfall and evaporation in the current time period and the temperature, air pressure, wind speed, rainfall, snowfall and evaporation in the future time period.

[0039] In a specific example, the future time period is within the next 48 hours.

[0040] It needs to be further explained that the specific method of obtaining the temperature, air pressure, wind speed, rainfall, snowfall and evaporation in the future time period is: directly obtaining the temperature, air pressure, wind speed, rainfall, snowfall and evaporation in the future time period through the meteorological center of the target area.

[0041] The hydrological data of the target area include groundwater level, reservoir water level, flow, sediment content, soil moisture, runoff and river ice thickness.

[0042] The present invention obtains a meteorological and hydrological data set of the target area by unified integration and fusion of the meteorological data and hydrological data of the target area from different data sources, thereby forming a more comprehensive and accurate data set, which helps to eliminate data redundancy and inconsistency, improve the overall quality of the data, and provide a basis for scientific research and policy making.

[0043] The data set analysis module analyzes the current risk indicators and future predicted risk indicators of various natural disasters in the target area based on the meteorological and hydrological data sets of the target area. The various natural disasters include flood disasters, drought disasters, cold wave disasters, mudslide disasters and landslide disasters.

[0044] As a preferred feasibility example, the specific analysis method of the current risk index and future predicted risk index of flood disasters in the target area is: extract the rainfall and evaporation in the current time period of the target area as well as the groundwater level, reservoir water level and flow, which are recorded as rain, eva, water respectively. 1 、water 2 , flow, analyze the current risk indicators of flood disasters in the target area Among them, rain 0 ,eva 0 、water 1 ′ are the maximum rainfall, minimum evaporation and maximum groundwater level of the target area extracted from the database without flooding, water 2 ′、flow 0 are the maximum water level and maximum flow of the reservoir in the target area extracted from the database, respectively.

[0045] Extract rainfall and evaporation for future time periods in the target area.

[0046] By analyzing the current risk indicators of flood disasters in the target area, the future predicted risk indicators of flood disasters in the target area can be obtained.

[0047] As a preferred feasibility example, the specific analysis method of the current risk index and future predicted risk index of drought disaster in the target area is: extract the temperature, rainfall and evaporation as well as the groundwater level and reservoir water level of the target area in the current time period, which are recorded as T, rain, eva, water 1 、water 2 , analyze the current risk indicators of drought disasters in the target area Where T 0 、rain′0 eva′ 0 、water 1 ″ are the maximum temperature, minimum rainfall, maximum evaporation and minimum groundwater level of the target area extracted from the database without drought conditions, μ 1 It is a minimum value set to prevent the denominator from being 0. Its unit is millimeter per minute, and e is a natural constant.

[0048] Extract the temperature, precipitation, and evaporation of the target area for future time periods.

[0049] By analyzing the current risk indicators of drought disasters in the target area, the future predicted risk indicators of drought disasters in the target area can be obtained.

[0050] As a preferred feasibility example, the specific analysis method of the current risk index and future predicted risk index of the cold wave disaster in the target area is: extract the temperature, wind speed and snowfall in the current time period of the target area and the thickness of the river ice, which are recorded as T, V, snow, and thickness respectively, and analyze the current risk index of the cold wave disaster in the target area. Where T 0 ′、V 0 、snow 0 、thickness 0 are the minimum temperature, maximum wind speed, maximum snowfall and maximum river ice thickness of the target area extracted from the database without cold wave conditions, μ 2 A minimum value that is set to prevent the denominator from being 0, and its unit is Celsius.

[0051] Extract temperature, wind speed, and snowfall for future time periods in a target area.

[0052] By analyzing the current risk indicators of cold wave disasters in the target area, the future predicted risk indicators of cold wave disasters in the target area can be obtained.

[0053] As a preferred feasibility example, the specific analysis method of the current risk index and future predicted risk index of debris flow disasters in the target area is: extract the rainfall in the current time period of the target area and the groundwater level, flow, sand content, soil moisture and runoff, which are recorded as rain, water 1 , flow, sand, hum, runoff, analyze the current risk indicators of debris flow disasters in the target area Among them, rain 1 、water 1 1 , flow′ 0 、sand 0 , hum0 、runoff 0 They are the maximum rainfall, maximum groundwater level, maximum flow, maximum sand content, maximum soil moisture and maximum runoff in the target area extracted from the database without debris flow.

[0054] Extract the rainfall in the target area for a future period of time.

[0055] By analyzing the current risk index of debris flow disasters in the target area, the future pre-prediction risk index of debris flow disasters in the target area can be obtained.

[0056] As a preferred feasibility example, the specific analysis method of the current risk index and future predicted risk index of landslide disasters in the target area is: extract the rainfall in the current time period of the target area and the groundwater level, sand content and soil moisture, which are recorded as rain, water 1 , sand, hum, analyze the current risk indicators of landslide hazards in the target area Among them, rain 1 ', water 1 ' 1 、sand 0 ', hum' 0 They are the maximum rainfall, maximum groundwater level, maximum sand content and maximum soil moisture in the target area without landslides extracted from the database.

[0057] Extract the rainfall in the target area for a future period of time.

[0058] By analyzing the current risk index of landslide disasters in the target area, the future pre-prediction risk index of landslide disasters in the target area can be obtained.

[0059] By analyzing the current risk indicators and future predicted risk indicators of various natural disasters in the target area, the present invention provides a scientific basis for formulating disaster prevention and mitigation plans and allocating rescue resources, helps relevant departments and the public to prepare for disaster response in advance, improves the efficiency and effectiveness of disaster response, and reduces the impact of disasters on human society and the natural environment.

[0060] The management terminal is used to carry out current risk management, future warning management and measure management for various natural disasters in the target area based on the current risk indicators and future predicted risk indicators of various natural disasters in the target area.

[0061] As a preferred feasibility example, the specific operation of current risk management of various natural disasters in the target area is: extracting the current risk indicators of various natural disasters in the target area, matching them with the current risk indicator ranges corresponding to the risk levels of various natural disasters stored in the database, obtaining the risk levels of various natural disasters in the target area, and further performing current risk management of various natural disasters in the target area based on this.

[0062] It should be further explained that the risk levels include a high risk level, a medium risk level and a low risk level.

[0063] It should be further explained that the current risk management of flood disasters in the target area includes: (1) High risk level: increase the observation frequency of meteorological data and hydrological data in the target area, update and issue warning information every 15-30 minutes or even shorter; immediately activate the emergency plan, organize residents in the dangerous area to evacuate according to the predetermined evacuation route; inspect and reinforce flood control and drainage engineering facilities such as embankments, sluices, and pump stations; urgently call for sandbags, stones and other flood control and rescue materials. (2) Medium risk level: maintain the regular observation frequency of meteorological data and hydrological data in the target area, and issue flood disaster warning information on a regular basis every day; publicize and inform residents in areas near the warning water level and in low-lying and waterlogged areas, reminding them to prepare emergency escape materials; conduct comprehensive inspection and maintenance of flood control and drainage engineering facilities. (3) Low risk level: carry out work according to the normal meteorological data and hydrological data observation plan of the target area.

[0064] The current risk management of drought disasters in the target area includes: (1) High risk level: increase the observation frequency of meteorological data and hydrological data in the target area, issue drought warning information daily, inform the public of the development and severity of the drought; initiate emergency water resource allocation plan, give priority to ensuring residents' domestic water use, and restrict or suspend the production water use of some high-water-consuming industrial enterprises. (2) Medium risk level: maintain the normal observation frequency of meteorological data and hydrological data in the target area, and regularly issue drought warnings and reminder information; optimize the water resource allocation plan according to the water storage capacity and water demand of the water source, reasonably arrange the allocation ratio of industrial, agricultural and ecological water use on the premise of ensuring residents' domestic water use, appropriately reduce the part of industrial and agricultural water use that can be saved, and improve the efficiency of water resource utilization. (3) Low risk level: carry out work according to the normal meteorological data and hydrological data observation plan of the target area.

[0065] The current risk management of cold wave disasters in the target area includes: (1) High risk level: increase the observation frequency of meteorological data and hydrological data in the target area, update and release cold wave warning information every 1-2 hours; remind residents to reduce going out as much as possible, and if they need to go out, they must take cold protection measures to avoid long-term exposure to the cold environment; strengthen the inspection and maintenance of transportation infrastructure, clear the snow and ice on the road in time, spread snow melting agents, anti-skid sand, etc. on the ice-prone road sections to ensure safe and smooth road traffic; organize power, communication and other departments to conduct comprehensive inspection and maintenance of power supply lines, communication base stations and other facilities, promptly repair the fault hazards found, and strengthen cold protection measures for key equipment; coordinate energy supply companies to prepare energy reserves and allocation in advance to ensure that residents' energy needs such as heating, electricity and gas are met during the cold wave. (2) Medium risk level: maintain the normal observation frequency of meteorological data and hydrological data in the target area, and regularly release cold wave warning information. (3) Low risk level: carry out work according to the normal meteorological data and hydrological data observation plan for the target area.

[0066] The current risk management of debris flow disasters in the target area includes: (1) High risk level: increase the observation frequency of meteorological data and hydrological data in the target area, and the early warning center will issue early warning information at least once every hour; immediately activate the emergency plan and organize residents and construction workers in the debris flow danger zone to evacuate quickly according to the predetermined emergency evacuation route; set up obvious cordons and warning signs around the area that may be affected by the debris flow; for areas on the hillside where there are signs of instability such as loose rock and cracks, timely use simple measures such as sandbag stacking and geotextile covering to temporarily reinforce them to prevent further collapse of soil and rocks and cause debris flow. (2) Medium risk level: maintain the normal observation frequency of meteorological data and hydrological data in the target area, increase the number of inspections in areas prone to debris flow; carry out publicity and education for residents and units in areas potentially threatened by debris flow, inform them of the hazards and prevention points of debris flow, and remind them to prepare emergency escape materials. (3) Low risk level: carry out work according to the normal observation plan of meteorological data and hydrological data in the target area.

[0067] The current risk management of landslide disasters in the target area includes: (1) High risk level: increase the observation frequency of meteorological data and hydrological data in the target area; quickly launch the landslide emergency plan, organize the evacuation of personnel in the danger zone according to the predetermined emergency evacuation route; set up obvious cordons and warning signs around the landslide danger zone. (2) Medium risk level: maintain the normal observation frequency of meteorological data and hydrological data in the target area; carry out extensive publicity and education for residents, unit staff, etc. in the potential landslide threat area, inform them of the relevant knowledge, hazards and prevention points of landslides, and remind them to prepare necessary emergency escape items. (3) Low risk level: carry out work according to the normal meteorological data and hydrological data observation plan of the target area.

[0068] As a preferred feasibility example, the specific operation of future warning management and measure management for various natural disasters in the target area is: extracting future predicted risk indicators for various natural disasters in the target area, matching them with the future predicted risk indicator ranges corresponding to the predicted risk levels of various natural disasters stored in the database, obtaining the predicted risk levels of various natural disasters in the target area, and further conducting future warning management and measure management for various natural disasters in the target area based on this.

[0069] It needs to be further explained that the specific operation of future early warning management and measure management of various natural disasters in the target area is: issuing different levels of early warning information according to the predicted risk level of various natural disasters in the target area, and providing corresponding response suggestions.

[0070] The present invention conducts current risk management, future warning management and measure management for various natural disasters in the target area, formulates risk management measures in a targeted manner, reduces casualties and property losses when disasters occur, and also helps relevant departments to plan in advance and prepare for possible natural disasters in the future, thereby reducing disaster losses.

[0071] The database is used to store meteorological and hydrological data sets of the target area, store the upper and lower limits of each parameter of meteorological data and the upper and lower limits of each parameter of hydrological data in the target area under the condition that no various natural disasters occur, store the current risk index range corresponding to each risk level of various natural disasters, and store the future predicted risk index range corresponding to each predicted risk level of various natural disasters.

[0072] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A meteorological and hydrological data management system based on multi-source data, characterized by: include: The data set acquisition module is used to detect the meteorological data and hydrological data of the target area in real time, obtain the meteorological data and hydrological data of the target area from different data sources, integrate and fuse them, obtain the meteorological and hydrological data set of the target area, and store them in the database, which includes the meteorological data and the hydrological data; The data set parsing module analyzes the current risk indicators and future predicted risk indicators of various natural disasters in the target area based on the meteorological and hydrological data sets of the target area. The various natural disasters include floods, droughts, cold waves, debris flows, and landslides. Management terminal, used for current risk management, future warning management and measures management of various natural disasters in the target area based on the current risk indicators and future predicted risk indicators of various natural disasters in the target area; The database is used to store the meteorological and hydrological data sets of the target area, store the upper and lower limits of each parameter of the meteorological data and the upper and lower limits of each parameter of the hydrological data in the target area under the condition that no natural disasters occur, store the current risk index range corresponding to each risk level of each natural disaster, and store the future predicted risk index range corresponding to each predicted risk level of each natural disaster.

2. A meteorological and hydrological data management system based on multi-source data according to claim 1, characterized in that: The specific method of obtaining the meteorological and hydrological data set of the target area is: A1. Select the target data format: Consider the characteristics of the target area's meteorological and hydrological data in different formats from different data sources, the convenience of subsequent storage and use, and other factors, and select a unified target data format; A2. Data format conversion: Use data processing tools to convert the original data formats of the target area's meteorological data and hydrological data from different data sources into the target data format; A3. Space-time registration: On the basis of the unified space-time resolution and target data format of the meteorological and hydrological data of the target area from different data sources, the meteorological and hydrological data of the target area from different data sources are further accurately registered in time and space, that is, the data from different data sources at the same time correspond to the same spatial position, and the data at the same spatial position are coherently matched in time series; A4. Data merging and association: The meteorological data and hydrological data of the target area from different data sources are merged and associated according to the merging method to obtain the meteorological and hydrological data sets of the target area from different data sources; A5. Multi-source data fusion: According to the characteristics and fusion objectives of the meteorological and hydrological datasets of the target area from different data sources, a suitable fusion algorithm is selected to fuse them to obtain the meteorological and hydrological datasets of the target area.

3. The meteorological and hydrological data management system based on multi-source data according to claim 1, characterized in that: The meteorological data of the target area includes the temperature, air pressure, wind speed, rainfall, snowfall and evaporation in the current time period and the temperature, air pressure, wind speed, rainfall, snowfall and evaporation in the future time period; The hydrological data of the target area include groundwater level, reservoir water level, flow, sediment content, soil moisture, runoff and river ice thickness.

4. A meteorological and hydrological data management system based on multi-source data according to claim 3, characterized in that: The specific analysis method of the current risk index and future predicted risk index of flood disasters in the target area is as follows: Extract the rainfall and evaporation in the current time period of the target area, as well as the groundwater level, reservoir water level and flow, recorded as rain, eva, water1, water2, flow, respectively, and analyze the current risk indicators of flood disasters in the target area Among them, rain0, eva0, and water1′ are the maximum rainfall, minimum evaporation, and maximum groundwater level of the target area extracted from the database without flooding, respectively; water2′ and flow0 are the maximum water level and maximum flow of the reservoir in the target area extracted from the database, respectively; Extract the rainfall and evaporation of the target area in the future time period; By analyzing the current risk indicators of flood disasters in the target area, the future predicted risk indicators of flood disasters in the target area can be obtained.

5. A meteorological and hydrological data management system based on multi-source data according to claim 4, characterized in that: The specific analysis method of the current risk index and future predicted risk index of drought disaster in the target area is as follows: Extract the temperature, rainfall, evaporation, groundwater level and reservoir water level of the target area in the current time period, record them as T, rain, eva, water1, water2 respectively, and analyze the current risk indicators of drought disasters in the target area. T0, rain′0, eva′0, and water1″ are the maximum temperature, minimum rainfall, maximum evaporation, and minimum groundwater level of the target area extracted from the database without drought conditions, μ1 is a minimum value set to prevent the denominator from being 0, and its unit is millimeter per minute, and e is a natural constant; Extract the temperature, rainfall and evaporation of the target area in the future time period; By analyzing the current risk indicators of drought disasters in the target area, the future predicted risk indicators of drought disasters in the target area can be obtained.

6. A meteorological and hydrological data management system based on multi-source data according to claim 5, characterized in that: The specific analysis method of the current risk index and future predicted risk index of cold wave disasters in the target area is as follows: Extract the temperature, wind speed, snowfall and river ice thickness of the target area in the current time period, record them as T, V, snow, thickness, and analyze the current risk indicators of cold wave disasters in the target area. T0′, V0, snow0, thickness0 are the minimum temperature, maximum wind speed, maximum snowfall and maximum river ice thickness of the target area extracted from the database without cold wave conditions, μ2 is a minimum value set to prevent the denominator from being 0, and its unit is Celsius; Extract the temperature, wind speed and snowfall in the target area for the future time period; By analyzing the current risk indicators of cold wave disasters in the target area, the future predicted risk indicators of cold wave disasters in the target area can be obtained.

7. A meteorological and hydrological data management system based on multi-source data according to claim 6, characterized in that: The specific analysis method of the current risk index and future predicted risk index of debris flow disaster in the target area is as follows: Extract the rainfall in the current time period of the target area, as well as the groundwater level, flow, sand content, soil moisture and runoff, recorded as rain, water1, flow, sand, hum and runoff, respectively, and analyze the current risk indicators of debris flow disasters in the target area. Among them, rain1 and water1 1 , flow′0, sand0, hum0, and runoff0 are the maximum rainfall, maximum groundwater level, maximum flow, maximum sand content, maximum soil moisture, and maximum runoff of the target area extracted from the database without debris flow; Extract the rainfall in the target area in the future time period; By analyzing the current risk index of debris flow disasters in the target area, the future pre-prediction risk index of debris flow disasters in the target area can be obtained.

8. A meteorological and hydrological data management system based on multi-source data according to claim 7, characterized in that: The specific analysis method of the current risk index and future predicted risk index of landslide disasters in the target area is as follows: Extract the rainfall in the current time period of the target area, as well as the groundwater level, sand content and soil moisture, recorded as rain, water1, sand and hum respectively, and analyze the current risk indicators of landslide disasters in the target area Among them, rain1′ and water1′ 1 , sand0′, hum′0 are the maximum rainfall, maximum groundwater level, maximum sand content and maximum soil moisture of the target area extracted from the database without landslide; Extract the rainfall in the target area in the future time period; By analyzing the current risk index of landslide disasters in the target area, the future pre-prediction risk index of landslide disasters in the target area can be obtained.

9. The meteorological and hydrological data management system based on multi-source data according to claim 1, characterized in that: The specific operations for current risk management of various natural disasters in the target area are: The current risk indicators of various natural disasters in the target area are extracted, and they are matched with the current risk indicator ranges corresponding to the risk levels of various natural disasters stored in the database to obtain the risk levels of various natural disasters in the target area, and the current risk management of various natural disasters in the target area is further carried out based on this.

10. A meteorological and hydrological data management system based on multi-source data according to claim 9, characterized in that: The specific operations of future early warning management and measures management for various natural disasters in the target area are: Extract the future predicted risk indicators of various natural disasters in the target area, match them with the future predicted risk indicator ranges corresponding to the predicted risk levels of various natural disasters stored in the database, and obtain the predicted risk levels of various natural disasters in the target area, and further carry out future early warning management and measure management of various natural disasters in the target area based on this.

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