rainstorm {bnRep} | R Documentation |
rainstorm Bayesian Network
Description
Deduction of sudden rainstorm scenarios: integrating decision makers' emotions, dynamic Bayesian network and DS evidence theory.
Format
A discrete Bayesian network to simulate the dynamic change process of scenario deduction. Probabilities were given within the referenced paper. The vertices are:
- EmAct1
Activate the flood prevention emergency plan; organize emergency rescue teams to garrison key safety points and increase the intensity of inspections; each site is equipped with sufficient special flood prevention materials and equipment (Effective, Void);
- EmAct2
Improve the level of flood prevention emergency response; organize the maintenance of houses; restrict people’s travel; clean up the water outlet in time; and do a good job in popularizing flood prevention emergency measures (Effective, Void);
- EmAct3
Vigorous dredging of drainage channels, all personnel involved in flood control (Effective, Void);
- EmAct4
Strengthen inspections and inspections of rivers, reservoirs, geological disasters, urban infrastructure, etc.; force all factories with hidden dangers (enterprises that may have water inlets and hot furnaces, etc.) to stop work and production (Effective, Void);
- EmAct5
Enterprises continue to close down and add infrastructure (Effective, Void);
- EmAct6
Arrange professional personnel to guide the dangerous situation of the reservoir on the spot; excavate the drainage trough as soon as possible to reduce the water level, add hydrological stations, and strengthen supervision and early warning (Effective, Void);
- EmAct7
Extensive excavation of emergency drainage channels; transfer of personnel in hazardous areas; and increase of emergency equipment and medical teams (Effective, Void);
- EmAct8
Accelerate the transfer of personnel from disaster areas, add high-tech rescue equipment (Effective,Void);
- Scenario1
Rainstorm (True, False);
- Scenario2
Precipitation continues to increase (True, False);
- Scenario3
The ground area is reduced by water (True, False);
- Scenario4
The weather continued to deteriorate and heavy rainstorms occurred (True, False);
- Scenario5
Secondary disasters occur (True, False);
- Scenario6
Heavy rains trigger small floods (True, False);
- Scenario7
Heavy rains triggered large flooding (True, False);
- Scenario8
Floods trigger landslides (True, False);
- Scenario9
All stagnant water is discharged (True, False);
- Scenario10
The flood disappeared (True, False);
- Scenario11
The danger was completely controlled and the rainstorm disappeared (True, False);
- Sent1
Optimistic/pessimistic (Optimism, Gloomy);
- Sent2
Optimistic/pessimistic (Optimism, Gloomy);
- Sent3
Optimistic/pessimistic (Optimism, Gloomy);
- Sent4
Optimistic/pessimistic (Optimism, Gloomy);
- Sent5
Optimistic/pessimistic (Optimism, Gloomy);
- Sent6
Optimistic/pessimistic (Optimism, Gloomy);
- Sent7
Optimistic/pessimistic (Optimism, Gloomy);
- Sent8
Optimistic/pessimistic (Optimism, Gloomy);
- Target1
The normal living order of the people, and make all the preparations for the deterioration of heavy rains (Attain, Miss);
- Target2
Ensure that all the water outlets are unblocked, and all the rest are protected at home except for the necessary travel personnel (Attain, Miss);
- Target3
Water in the ground area is accelerating and decreasing (Attain, Miss);
- Target4
Ensure that all hidden factories are shut down, avoid other accidents such as explosions, and ensure that all infrastructure is operating normally (Attain, Miss);
- Target5
The whole society is subordinate to the unified organization of the state (Attain, Miss);
- Target6
Ensures reservoir danger is under control and casualties continue to decrease (Attain, Miss);
- Target7
Ensure that the water level is controlled, all personnel in the danger area are evacuated, and there is no increase in the number of casualties (Attain, Miss);
- Target8
The supply of medical supplies is timely, the efficiency of search and rescue is guaranteed, and the number of casualties is no longer increasing (Attain, Miss);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Xie, X., Tian, Y., & Wei, G. (2023). Deduction of sudden rainstorm scenarios: integrating decision makers' emotions, dynamic Bayesian network and DS evidence theory. Natural Hazards, 116(3), 2935-2955.