Optimisation method for atmospheric environment pollution monitoring site selection based on improved genetic algorithm

There are some problems with traditional atmospheric environment pollution monitoring point optimisation method, such as low spatial coverage rate, long task completion time, and high construction cost. Therefore, an optimisation method for atmospheric environment pollution monitoring site selection based on improved genetic algorithm is proposed. The dynamic response of atmospheric environment pollution monitoring network structure is analysed, and candidate monitoring site selections are screened. Considering the objectives of maximum closeness, maximum concentration, construction cost, population distribution and spatial coverage, the objective function of atmospheric environment pollution monitoring point optimisation is established. The objective function is solved by using the improved genetic algorithm, and the optimal solution is the monitoring point optimisation result. Experimental results show that the maximum spatial coverage of this method is 99.6%, the task completion time fluctuates between 0.21 s and 0.62 s, and the total cost is 1.589 x 108 yuan, the optimisation effect of site selection is good.