A mobile chemical risk source prediction, early warning and emergency control method

Abstract

The invention discloses a forecasting-early warning and emergency control method for a moving chemical risk source, belonging to the field of hazard control. The method comprises the following steps: (1) determining the variety and amount of the materials of the moving risk source and the geographic coordinates of a protected object; (2) obtaining the wind field of an object risk simulation range and the forecasting results of the turbulent flow rate; (3) obtaining the space-time distribution of the endangering degree on the protected object; (4) obtaining a forecast-early warning and control scheme of the moving chemical risk source based on a GIS platform; and (5) releasing in real time and on line. The forecasting-early warning and emergency control method can obtain the space-time distribution of the endangering degree of the moving chemical risk source on the protected target in a short time and releases the space-time distribution in real time and on line.

Description

technical field [0001] The invention relates to a hazard source control method, in particular to a mobile chemical risk source prediction, early warning and emergency control method, belonging to the field of hazard source control. Background technique [0002] Tens of thousands of tons of toxic and harmful chemicals are produced, stored and transported every day in countries all over the world, and chemical accidents occur from time to time. A large part of these chemical accidents comes from the transportation of toxic and harmful chemicals. For example, on March 29, 2005, a major chemical accident involving liquid chlorine leakage occurred on the Huaian section of the Beijing-Shanghai Expressway, resulting in 31 deaths, 436 people were poisoned and hospitalized, and 10,500 people Emergency evacuation resulted in the death of a large number of poultry and livestock, and the direct property loss was more than 29 million yuan. In addition to accidents in the routine transpo...

AI Technical Summary

Problems solved by technology

For example, if the calculation area is divided into 100×100 grids, there are thousands of situations that need to be calculated, and the calculation of the predicted out-diffusion of the time flow field in each situation usually takes a few minutes, so it is necessary to calculate the protection of mobile risk sources The distribution of target hazards takes more than 10 days, while the time for flow field forecasting is usually within 3 days. Obviously, existing technologies cannot predict, warn and control mobile risk sources