Air quality health index platform based on big data and implementation method thereof

Abstract

The invention particularly relates to an air quality health index platform based on big data and an implementation method thereof. According to the big data-based air quality health index platform and the implementation method thereof, local day-by-day atmospheric pollutant concentration historical data, synchronous meteorological data and resident health data are acquired, and local atmospheric pollutant data, and geographic position and monitoring time information of an air quality monitoring station are acquired in real time; the method comprises the following steps: constructing an exposure-reaction relationship evaluation model, estimating an exposure-reaction relationship coefficient beta value of each atmospheric pollutant and different health outcome effects, constructing an AQHI model, obtaining an AQHI index in real time, carrying out graded early warning, and sending the AQHI index obtained in real time and graded early warning information thereof to a user. According to the big data-based air quality health index platform and the implementation method thereof, real-time release of early warning information is realized, health loss and economic loss can be reduced, public health requirements are met, and the platform has wide and profound social benefits and economic benefits and is suitable for popularization and application.

Description

technical field [0001] The invention relates to the technical field of air quality management, in particular to an air quality health index platform based on big data and an implementation method thereof. Background technique [0002] With the rapid development of the national economy, the speed of industrialization and urbanization continues to accelerate, and the combined atmospheric pollution has become an important content that needs to be urgently addressed in the healthy development of cities in my country, especially the air pollutants in the four major urban agglomerations (coal-fired, chemical companies) , motor vehicles, dust) high-intensity emissions are still the main source of current air pollution. [0003] Since 2013, my country has gradually established an urban air quality monitoring system that includes six types of air pollutants, carrying out PM 2.5 , Inhalable particulate matter (particulate matter, PM 10 ), sulfur dioxide (sulfur dioxide, SO 2 ), nitr...

AI Technical Summary

Problems solved by technology

However, there are deficiencies in AQI in health risk early warning: first, AQI is calculated based on a single primary pollutant in a city, and cannot comprehensively reflect the overall appearance of atmospheric composite pollution; second, AQI itself is not associated with any health outcome information, and cannot directly reflect pollutants The effect relationship between pollution and health hazards, and the disease spectrum effect of different pollutants and the non-threshold effect of hazards cannot be identified. Therefore, there are problems of insufficient pertinence and limited application at the level of health risk reminders; in addition, there are regional Sexual differences, including spatio-temporal heterogeneity in pollution sources, population vulnerability, social characteristics, etc., AQI is still unable to identify and distinguish the above characteristic factors, and the health recommendations put forward cannot be adapted to local conditions

In January 2021, Sun et al. carried out a theoretical study on the construction method of AQHI (Air Quality Health Index, Air Quality Health Index) based on the level of 769 districts and counties in China, including PM 2.5 , SO 2 , NO 2 , O 3 Four pollutant indicators, AQHI construction was carried out, but still only the death effect was considered

[0006] To sum up, Chinese cities have not yet established a scientific, reasonable, and feasible urban AQHI, nor have they established a platform system and social promotion and application

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