CN109859442A - Mountain region disaster chain prediction and monitoring and warning system and implementation process - Google Patents
Mountain region disaster chain prediction and monitoring and warning system and implementation process Download PDFInfo
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Abstract
The present invention relates to mountain region disaster chain prediction and monitoring and warning systems and implementation process, collect system, field data communication system, remote data processing system and multi-parameter threshold value early warning system including prediction system, field data, prediction system is according to mountain region disaster chain various factors coupling mechanism prediction；Field data, which is collected system and is acquired to field data, to be collected；Field data communication system is made of short range communication network, remote radio communication network and satellite communication network；Multi-parameter threshold value early warning system is analyzed live Multi-parameter data, and early warning is carried out, using the present invention has the advantages that being based on the mutual correlation of mountain region disaster chain and coupled characteristic prediction system；Data gathering system comprehensive pre-warning threshold value based on landslip, barrier lake, mud-stone flow disaster, forms the multi-parameter monitoring pre-alarming system of mountain region disaster chain, improves mountain region disaster chain early warning precision；In conjunction with prediction and the mountain region disaster chain early warning system of real-time monitoring.
Description
Technical field
The present invention relates to a kind of mountain region disaster monitoring and warning fields, and in particular to mountain region disaster chain prediction and monitoring are pre-
Alert system and implementation process.
Background technique
Mountain region disaster is multi-point and wide-ranging geological disaster, can usually induce a series of Secondary disaster chain, as avalanche is sliding
Slope disaster causes stifled river and blocks up river after occurring, form barrier lake, water level rise dam break forms mud-stone flow disaster again.China, the U.S. in 2014
It contains time state landslide and is converted into mud-stone flow disaster and 45 people's death are missing imperial scale mud-stone flow disaster, on October 10th, 2018,
Landslide occurs within the border for Tibet Autonomous Region's Changdu city Jomda County and Sichuan Province, Baiyu County, Tibetan Autonomous Prefecture of Garze, blocks Jinsha jiang River
River forms barrier lake, on October 13rd, 2018, and Jinsha jiang River white square barrier lake right bank crevasse is washed open, forms Debris-flow Hazard
Evil, the condition of a disaster are serious.These cases show that its task of taking precautions against natural calamities is still very arduous.Since the investment of engineering Disaster Prevention Measures is high, the period is long,
It only can solve part Problems of Disaster Preparedness And Reduction in a short time；For mountain region disaster chain, prediction and warning technology has the at low cost, duration
Short, quick feature.It is current most economical effective mitigation means, it especially can be to avoid a large amount of casualties.
Existing critical issue includes:
(1) effective recognition methods is lacked to potential mountain region disaster chain, it effectively can not be predicted and monitored；
(2) lack early warning and forecast prediction technique based on mountain region disaster chain formation mechenism, rely primarily on traditional statistical method
With single critical precipitation figureofmerit, the not high problem of precision is still had in practical applications；
(3) there is no system support for mountain region disaster chain monitoring and warning.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, a kind of mountain region disaster chain monitoring and forecasting and pre- is herein proposed
Alert system, early warning and forecasting procedure based on mountain region disaster chain various factors coupling mechanism and disaster process, precision is high, rate of false alarm
Low, it is lower that whole system builds expense, it is easy to accomplish；It is real that water power, traffic and the monitoring and warning in cities and towns are extended to by experiment
It tramples, achieves significant Benefits of Disaster Reduction and economic results in society.
The invention is realized in this way constructing a kind of mountain region disaster chain prediction and monitoring and warning system, including prediction
Forecast system, field data collect system, field data communication system, remote data processing system and multi-parameter threshold value early warning system
System, wherein the prediction system carries out region mountain region disaster chain easy according to mountain region disaster chain various factors coupling mechanism
The prediction of hair property；The field data, which is collected system and is acquired to field data, to be collected, and includes sensor and data acquisition
Terminal, the sensor are connected with corresponding data collection station respectively；The field data communication system is led to by short distance
Communication network, remote radio communication network and satellite communication network composition, the short range communication network is by live each branch website
Between and central site communication network composition, wherein each branch website is by tidal data recovering to central site；Described is long-range logical
Communication network is led to by the public network that the data that can be collected central site using satellite communication network are transmitted to remote data processing system
Letter and satellite communication composition；The remote data processing system is made of computer hardware and its corresponding software, major function
The data that central station is sent are analyzed and processed storage；The multi-parameter threshold value early warning system is to live Multi-parameter data
It is analyzed, early warning is carried out according to multi-parameter threshold value early warning system.
Firstly, the mountain region disaster chain region that prediction may occur；Secondly data remittance is carried out for live key dangerous region
Collection (including landslip disaster data collects system, barrier lake disaster data collects system, mud-stone flow disaster tidal data recovering system
System), acquire related data information and by field data communications system transmission to remote data processing system, multi-parameter threshold value is pre-
Alert system is made whether that early warning operates according to processing result.
Further, limiting the mountain region disaster chain prediction and monitoring and warning system further includes for each of scene
Between a branch website and central site power supply field Power supply system.
] further, limiting the field Power supply system is the power supply system of solar wind-energy complementation according to this
The mountain region disaster chain monitoring and forecasting and early warning system are invented, forecasting system is right according to mountain region disaster chain various factors coupling mechanism
Region mountain region disaster chain carries out liability prediction, and major function carries out the prediction of disaster chain for specific region.
In addition, further, limiting the field data communication system includes short-distance wireless communication, satellite communication and long-range
Wireless communication；The remote data processing system include satellite receiving terminal, network data access, data processing server,
Data storage server, data distribution server, GIS server；The multi-parameter threshold value early warning system includes multi-parameter threshold
Value setting, warning information publication.The major function of remote data processing system is data receiver, data analysis, data storage, number
It is investigated that inquiry, curve inquiry, GIS figure, data publication and early warning system.
Further, it limits the field data and collects system and respectively included landslip disaster data parameter to collect and be
System, barrier lake disaster data parameter collects system and mud-stone flow disaster data parameters collect system.
Further, it limits the landslip disaster data parameter and collects the precipitation that system at least monitors region scene
Amount, surface displacement, tilt angle, deep displacement and ground acoustic vibration.
Further, limit the barrier lake disaster data parameter collect system at least monitor region scene precipitation,
Flow rate, dam body pressure and lake surface water level.
Further, limit the mud-stone flow disaster data parameters collect system at least monitor region scene precipitation,
Pore pressure, water content, mud position and ground acoustic vibration.
In addition, the implementation process of mountain region disaster chain prediction and monitoring and warning system, includes the following steps,
The region of mountain region disaster chain may occur according to mountain region disaster chain various factors coupling mechanism prediction for the first step, i.e., to prediction
The key area for being likely to occur disaster carries out field monitoring early warning；It may not need then to carry out field monitoring；
Second step carries out mountain region disaster chain monitoring station to the key area, obtains more data parameters, i.e., according to live real
Border situation lays landslip disaster monitoring station, barrier lake disaster monitoring station and mud-stone flow disaster monitoring station, wherein the cunning
Slope collapse hazard monitoring station obtains landslip disaster data parameter, and the barrier lake disaster monitoring station obtains landslip calamity
Evil data parameters, the mud-stone flow disaster monitoring station obtain barrier lake disaster data parameter；
Third step is collected system using the field data and is acquired to field data and collects；
4th step receives the live landslip disaster data parameter, described using the field data communication system
Barrier lake disaster data parameter and the barrier lake disaster data parameter；
5th step analyzes the data parameters that the 4th step obtains using the remote data processing system, by landslip disaster
The data that monitoring station, barrier lake disaster monitoring station and mud-stone flow disaster monitoring station are sent are analyzed and processed storage；
6th step determines whether live Multi-parameter data reaches threshold value of warning using the multi-parameter threshold value early warning system, does not have
Have and reach, continues to monitor；Early warning is carried out if reaching.
It further limits, the landslip disaster monitoring station is laid with the sensor of monitoring landslip disaster, institute
The barrier lake disaster monitoring station stated is laid with the sensor of monitoring barrier lake disaster, and the mud-stone flow disaster monitoring station arrangement has
The sensor and data collection station of Monitoring Debris Flow disaster, all sensors connect with corresponding data collection station respectively
It connects, for acquiring relevant information, data collection station is connect with short distance and remote radio communication terminal.
Further, the implementation process for limiting mountain region disaster chain prediction and monitoring and warning system, when generation precipitation
When, each automatic encryption data frequency acquisition in branch website, and by tidal data recovering to central site.
Prediction and early warning implementation process are as follows:
(1) by predicting mountain region disaster chain, the region of mountain region disaster chain may occur for prediction；If being likely to occur disaster
Field monitoring early warning is carried out to key area；It may not need then to carry out field monitoring；
(2) monitoring of mountain region disaster chain is carried out to key area, lays landslip disaster monitoring station, weir according to on-site actual situations
Lake disaster monitoring station, mud-stone flow disaster monitoring station are filled in, after website is laid, remote data processing center receives live multi-parameter
Data, determine whether live Multi-parameter data reaches threshold value of warning, do not reach, continue to monitor；It is carried out if reaching pre-
It is alert.
Be using the advantages of technical solution of the present invention: 1) this method is based on the mutual correlation of mountain region disaster chain and coupling
Close Predicting Performance Characteristics forecast system；2) it is comprehensive to establish the data gathering system based on landslip, barrier lake, mud-stone flow disaster for this method
Threshold value of warning is closed, the multi-parameter monitoring pre-alarming system of mountain region disaster chain is formd, improves mountain region disaster chain early warning precision；3) originally
Method is the mountain region disaster chain early warning system in conjunction with prediction and real-time monitoring.
Detailed description of the invention
Fig. 1 is the overall schematic of mountain region disaster chain prediction of the present invention and monitoring and warning system；
Fig. 2 is operational process schematic diagram of the present invention；
Fig. 3 is early warning flow diagram of the present invention；
Fig. 4 is mountain region disaster chain prediction methods block diagram of the present invention.
Specific embodiment
Below in conjunction with attached drawing 1-4, the present invention is described in detail, and technical solution in the embodiment of the present invention carries out
It clearly and completely describes, it is clear that described embodiments are only a part of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
Every other embodiment, shall fall within the protection scope of the present invention.
The present invention provides a kind of mountain region disaster prediction and monitoring and warning system, including prediction system 1, live number
According to collecting system 2, field data communication system 3, remote data processing system 4, multi-parameter threshold value early warning system 5.Prediction
System 1 is used for mountain region disaster chain prediction, whether mountain region disaster may occur in estimation range；Field data collects system 2
For collection in worksite related data information；Field data communication system 3 is collected for field data short distance and passes through telecommunication
System is transmitted to remote data processing system；Remote data processing system 4 parses the data of on-site transfer, and display is incorporated to
Library；Multi-parameter threshold value early warning system 5 is analyzed and processed field data, and generates warning information, the information that early warning is generated
It is released by different modes.
The prediction system 1 carries out region mountain region disaster chain according to mountain region disaster chain various factors coupling mechanism
Liability prediction；
The field data, which is collected system 2 and is acquired to field data, to be collected, and includes sensor and data collection station,
The sensor is connected with corresponding data collection station respectively；The field data collects system 2 and acquires related monitoring
Parameter data information is simultaneously transmitted to remote data processing system 4 by field data communication system 3.
The field data, which collects system and respectively included landslip disaster data parameter, collects system 2a, barrier lake
Disaster data parameter collects system 2b and mud-stone flow disaster data parameters collect system 2c.
The field data communication system 3 includes short-distance wireless communication 3a, satellite communication 3b and remote radio communication 3c
Composition, the short range communication network is by between each branch website at scene and the communication network of central site forms, wherein each
Branch website is by tidal data recovering to central site；The remote data processing system 4 includes satellite receiving terminal 4a, network data
Access 4b, data processing server 4c, data storage server 4d, data distribution server 4e, GIS server 4f；Described
Multi-parameter threshold value early warning system 5 includes multi-parameter threshold value setting 5a, warning information publication 5b.
The telecommunications network is transmitted to remotely by the data that can be collected central site using satellite communication network
The public network of data processing system communicates and satellite communication composition；
The remote data processing system 4 is made of computer hardware and its corresponding software, and major function sends central station
Data be analyzed and processed storage；
The multi-parameter threshold value early warning system 5 is analyzed live Multi-parameter data, according to multi-parameter threshold value early warning system
System carries out early warning.
Mountain region disaster prediction and monitoring and warning system further include for each branch website between scene and center
The field Power supply system of website power supply, the field Power supply system are the power supply system of solar wind-energy complementation.
The landslip disaster data parameter collect system at least monitor the precipitation at region scene, surface displacement,
Tilt angle, deep displacement and ground acoustic vibration.
The barrier lake disaster data parameter collects system and at least monitors region scene precipitation, flow rate, dam body
Pressure and lake surface water level.
The mud-stone flow disaster data parameters collect system and at least monitor region scene precipitation, pore pressure, aqueous
Amount, mud position and ground acoustic vibration.
In addition, the implementation process of the mountain region disaster chain prediction and monitoring and warning system, includes the following steps,
The region of mountain region disaster chain may occur according to mountain region disaster chain various factors coupling mechanism prediction for the first step, i.e., to prediction
The key area for being likely to occur disaster carries out field monitoring early warning；It may not need then to carry out field monitoring；
Second step carries out mountain region disaster chain monitoring station to the key area, obtains more data parameters, i.e., according to live real
Border situation lays landslip disaster monitoring station, barrier lake disaster monitoring station and mud-stone flow disaster monitoring station, wherein the cunning
Slope collapse hazard monitoring station obtains landslip disaster data parameter, and the barrier lake disaster monitoring station obtains landslip calamity
Evil data parameters, the mud-stone flow disaster monitoring station obtain barrier lake disaster data parameter；
Third step is collected system using the field data and is acquired to field data and collects；
4th step receives the live landslip disaster data parameter, described using the field data communication system
Barrier lake disaster data parameter and the barrier lake disaster data parameter；
5th step analyzes the data parameters that the 4th step obtains using the remote data processing system, by landslip disaster
The data that monitoring station, barrier lake disaster monitoring station and mud-stone flow disaster monitoring station are sent are analyzed and processed storage；
6th step determines whether live Multi-parameter data reaches threshold value of warning using the multi-parameter threshold value early warning system, does not have
Have and reach, continues to monitor；Early warning is carried out if reaching.
The landslip disaster monitoring station is laid with the sensor of monitoring landslip disaster, the barrier lake calamity
Evil monitoring station arrangement has the sensor of monitoring barrier lake disaster, and the mud-stone flow disaster monitoring station arrangement has Monitoring Debris Flow calamity
Harmful sensor and data collection station, all sensors are connected with corresponding data collection station respectively, for acquiring phase
Information is closed, data collection station is connect with short distance and remote radio communication terminal.
Operational process is as follows,
(1) by predicting whether that mountain region disaster may occur to mountain region disaster chain prediction；If being likely to occur disaster
Lay Monitoring and forecasting system in real-time equipment in danger zone, it is first determined whether landslip disaster can occur, in case of probability compared with
It is big then lay landslip monitoring and warning equipment, secondly judge rivers, formation weir whether can be blocked after landslip disaster occurs
Lake disaster is filled in, then lays barrier lake disaster monitoring source of early warning greatly in case of probability, finally judges whether to cause Debris-flow Hazard
Evil, it is larger in case of probability, lay mud-stone flow disaster alarm equipment；It may not need then to carry out；
(2) real-time monitoring is carried out to multiple parameters, when monitoring region parameter collection in worksite value reaches threshold value of warning, real-time release
Warning information.
(3) judge whether live rainfall reaches level-one rainfall (yellow) threshold value of warning, do not reach, continue to monitor；
Notify that nearby other websites encrypt frequency acquisition if reaching；
(4) judge whether live rainfall reaches second level rainfall (orange) threshold value of warning, do not reach, continue to monitor；If
Reach, the personnel in warning information notice danger zone that issue prepare to withdraw；
(5) judge whether live rainfall reaches three-level rainfall (red) threshold value of warning, do not reach, continue to monitor；If
Reach, the personnel in warning information notice danger zone that issue withdraw immediately；
(6) judge whether the other monitoring parameters in scene reach level-one threshold value of warning, do not reach, continue to monitor；If reaching
Personnel withdraw immediately in publication warning information notice danger zone.
(7) after all monitoring parameters drop to normal value, then cancel early warning.
Prediction and monitoring and warning example:
White crane beach, the power station Wu Dongde mud-rock flow prediction and warning technical examples
White crane beach power station is located at Ningnan County, Sichuan Province and Yunnan Province Qiaojia County is domestic, is that Jinsha jiang River downstream mainstream section step is opened
Second step hydropower station of hair has based on power generation, has flood control, sediment trapping concurrently, improves Downstream Navigation condition and develops reservoir area and is logical
The comprehensive benefits such as boat.825 meters of reservoir operation scheme, corresponding 179 billion cubic meter of storage capacity, 188 billion cubic meter of aggregate storage capacity.Underground factory
Room is equipped with 16 units, just quasi- 14,000,000 kilowatts of installed capacity, 602.4 hundred million kilowatt hour of Mean annual energy production.Power station plan
Major project formally goes into operation within 2013, first batch of unit generation in 2018, the year two thousand twenty Practical Completion.After power station is built up, it will be only second to
The three gorges hydropower plant becomes the second largest power station of China.
Black East Germany power station is located on Jinsha jiang River river that Sichuan Huidong County and Luquan, Yunnan Province county have a common boundary, and is Jinshajiang Hydropower
Four big world of base lower reache grade Huge Power Station-Wu Dongde, white crane beach power station, Xi Luo Du reservoir and Burner zone water
First step in power station, on 253 kilometers away from kwan-yin rock power station, under 180 kilometers away from white crane beach power station.Water catching area
40.61 ten thousand square kilometres, account for the 86% of Drainage Area of Jinsha River area；3810 cubes of meter per seconds of average annual flow, run-off 120,000,000,000
Cubic meter.Black East Germany's reservoir just sets 975 meters of water storage level, and 76 billion cubic meter of aggregate storage capacity adjusts 26 billion cubic meter of storage capacity, storage capacity
14.5 billion cubic meters.8,700,000 kilowatts of installed capacity of power station, about 38,700,000,000 kilowatt hour of average annual energy generation.
Main research: white crane beach, the power station Wu Dongde mud-rock flow prediction and warning technology are based on white crane beach, Wu Dongde water
The needs of preventing and reducing natural disasters of power plant construction and operation are realized in conjunction with basic survey, the index study that causes disaster, high-new monitoring and warning technology
The regional prediction real-time process early warning of hydroelectric project key area mud-stone flow disaster carries out monitoring and warning demonstration, builds mud-rock flow
Disaster monitoring early warning platform, and carry out mud-rock flow and prevent and reduce natural disasters training, it is construction of hydropower plant and engineering and the personnel for runing the phase
Safety escorts.
Mud-stone flow disaster database establishment and mud-rock flow danger Journal of Sex Research: have statistics to research area, arrange and
On the basis of review, the probe and cataloguing of mud-rock flow in research area are carried out, establishes formation, movement, heap based on mud-rock flow
The mud-stone flow disaster database of the features such as long-pending and mud-rock flow history, the origin cause of formation, property, scale；Survey data is analyzed, is tied
Influence of the mud-rock flow to mankind's activity, social economy, ecological environment etc. is closed, single-gully mud-rock flow liability, risk are carried out
(endangering object, disastrous risk) assessment, and liability and risk comprehensive sub-areas are carried out to research area's mud-rock flow；In Debris-flow Hazard
Evil database analysis on the basis of carry out mud-rock flow Critical Rainfall index study, be mud-rock flow prediction, Monitoring and forecasting system in real-time, for a long time
Monitoring and warning provides data supporting and service.
Mud-rock flow forecasting system: under the seismic activity and extreme climate and mankind's activity background before research debris flow occurrence,
Establish region mud-rock flow prediction model；Based on the analysis of single-gully mud-rock flow formation condition, the spies such as material resource, mankind's activity are carried out
The review of sign carries out single-gully mud-rock flow liability dynamic prediction；General area mud-rock flow early stage dynamic prediction and single-gully mud-rock flow
Liability dynamic prediction establishes mud-rock flow early stage dynamic prediction assessment models.The mud of year-by-year progress different zones different accuracy
Rock glacier liability early prediction, specifically includes: 1) early prediction of DEBRIS FLOW IN THE UPPER REACHES OF CHANGJIANG RIVER, proposes the emphasis target that mud-rock flow is easily sent out
Area: about 1,000,000 km of area2, half size scale 000,000；2) mud-rock flow on Jinsha jiang River upstream white crane beach and black East Germany power station is pre-
It surveys, half size scale 00,000 or 1:40 ten thousand；3) bond area and single-gully mud-rock flow liability dynamic prediction.
Mud-rock flow Monitoring and forecasting system in real-time threshold value: pass through the statistics of the rainfall of specific mud-stone flow disaster event, Numerical-Mode
It is quasi- calculate, field prototype experiment, research and application debris flow monitoring pre-warning index, specifically include precipitation threshold value, pore water pressure,
The changing rule and threshold value of water content, mudstone are miscarried Process of Confluence respective threshold, and mud-rock flow causes disaster respective threshold, establishes corresponding
Threshold value of warning index system.
The real-time system for monitoring and pre-warning of mud-rock flow is demonstrated: started according to mud-stone flow disaster, the feature of movement and disaster process,
Establish the comprehensive real-time system for monitoring and pre-warning based on characteristic parameters such as precipitation, soil body pore pressure, water content of soil.And select white crane
Beach power station short person's ditch, great Zhai Gou, the power station Wu Dongde flower gully, under white beach ditch carry out debris flow monitoring pre-warning system demonstration,
Sensor and power communications equipment are monitored using advanced mud-rock flow, ensure mud-rock flow real-time monitoring under adverse weather condition, transmission
And early warning.Meanwhile the early warning platform of ensemble prediction and real-time monitoring is established, according to mud-rock flow threshold trait index, establish mudstone
Stream faces calamity warning grade.And situation is laid according to the website of different channels, it realizes 5-15 minutes and gives warning in advance.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. mountain region disaster chain prediction and monitoring and warning system, it is characterised in that: including prediction system (1), live number
According to collecting system (2), field data communication system (3), remote data processing system (4) and multi-parameter threshold value early warning system (5),
Wherein,
The prediction system (1) carries out region mountain region disaster chain easy according to mountain region disaster chain various factors coupling mechanism
The prediction of hair property；
The field data, which is collected system (2) and is acquired to field data, to be collected, include sensor and data acquisition eventually
End, the sensor are connected with corresponding data collection station respectively；
The field data communication system (3) is logical by short range communication network (3a), remote radio communication network (3b) and satellite
Communication network (3c) composition, the short range communication network by scene each branch website between and central site communication network group
At, wherein each branch website by tidal data recovering to central site；The telecommunications network is by that can utilize satellite communication network
The data that central site is collected are transmitted to public network communication and the satellite communication composition of remote data processing system；
The remote data processing system (4) is made of computer hardware and its corresponding software, the number that can send central station
It is put in storage according to being analyzed and processed；
The multi-parameter threshold value early warning system (5) is analyzed live Multi-parameter data, according to multi-parameter threshold value early warning
System carries out early warning.
2. mountain region disaster chain prediction as described in claim 1 and monitoring and warning system, it is characterised in that: further include being used for
Between scene each branch website and central site power supply field Power supply system.
3. mountain region disaster chain prediction as claimed in claim 2 and monitoring and warning system, it is characterised in that: the field
Power supply system is the power supply system of solar wind-energy complementation.
4. mountain region disaster chain prediction as described in claim 1 and monitoring and warning system, it is characterised in that: the scene
Data communication system (3) includes short-distance wireless communication (3a), satellite communication (3b), remote radio communication (3c)；Described is long-range
Data processing system (4) includes satellite receiving terminal (4a), network data access (4b), data processing server (4c), data
Storage server (4d), data distribution server (4e), GIS server (4f)；Multi-parameter threshold value early warning system (5) packet
Include multi-parameter threshold value setting (5a), warning information publication (5b).
5. mountain region disaster chain prediction as described in claim 1 and monitoring and warning system, it is characterised in that: the scene
Data gathering system has respectively included that landslip disaster data parameter collects system (2a), barrier lake disaster data parameter is collected
System (2b) and mud-stone flow disaster data parameters collect system (2c).
6. mountain region disaster chain prediction as claimed in claim 5 and monitoring and warning system, it is characterised in that: the landslide
Collapse hazard data parameters collect system at least monitor the precipitation at region scene, surface displacement, tilt angle, deep displacement,
And ground acoustic vibration.
7. mountain region disaster chain prediction as claimed in claim 6 and monitoring and warning system, it is characterised in that: the damming
Lake disaster data parameter collects system and at least monitors region scene precipitation, flow rate, dam body pressure and lake surface water level.
8. mountain region disaster chain prediction as claimed in claim 7 and monitoring and warning system, it is characterised in that: the mudstone
Stream disaster data parameter collects system and at least monitors region scene precipitation, pore pressure, water content, mud position and ground acoustic vibration.
9. the implementation process of mountain region disaster chain prediction as claimed in claim 8 and monitoring and warning system, which is characterized in that
Include the following steps,
The region of mountain region disaster chain may occur according to mountain region disaster chain various factors coupling mechanism prediction for the first step, i.e., to prediction
The key area for being likely to occur disaster carries out field monitoring early warning；It may not need then to carry out field monitoring；
Second step carries out mountain region disaster chain monitoring station to the key area, obtains more data parameters, i.e., according to live real
Border situation lays landslip disaster monitoring station, barrier lake disaster monitoring station and mud-stone flow disaster monitoring station, wherein the cunning
Slope collapse hazard monitoring station obtains landslip disaster data parameter, and the barrier lake disaster monitoring station obtains landslip calamity
Evil data parameters, the mud-stone flow disaster monitoring station obtain barrier lake disaster data parameter；
Third step is collected system using the field data and is acquired to field data and collects；
4th step receives the live landslip disaster data parameter, described using the field data communication system
Barrier lake disaster data parameter and the barrier lake disaster data parameter；
5th step analyzes the data parameters that the 4th step obtains using the remote data processing system, by landslip disaster
The data that monitoring station, barrier lake disaster monitoring station and mud-stone flow disaster monitoring station are sent are analyzed and processed storage；
6th step determines whether live Multi-parameter data reaches threshold value of warning using the multi-parameter threshold value early warning system, does not have
Have and reach, continues to monitor；Early warning is carried out if reaching.
10. the implementation process of mountain region disaster chain prediction as claimed in claim 9 and monitoring and warning system, feature exist
In the landslip disaster monitoring station is laid with the sensor of monitoring landslip disaster, the barrier lake disaster prison
Survey station is laid with the sensor of monitoring barrier lake disaster, and the mud-stone flow disaster monitoring station arrangement has Monitoring Debris Flow disaster
Sensor and data collection station, all sensors are connected with corresponding data collection station respectively, for acquiring related letter
Breath, data collection station are connect with short distance and remote radio communication terminal.
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| CN112581724A (en) * | 2020-11-30 | 2021-03-30 | 中国安能集团第三工程局有限公司 | Method for hydrologic emergency monitoring and early warning of barrier lake |
| CN114360214A (en) * | 2022-03-18 | 2022-04-15 | 四川省公路规划勘察设计研究院有限公司 | Extra-large scale glacier debris flow early warning method |
| CN114580977A (en) * | 2022-05-06 | 2022-06-03 | 中国科学院地质与地球物理研究所 | Comprehensive evaluation method and device for full-range collaborative disaster reduction of small watershed slope and channel |
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