A Study and Analysis of Air Quality Index and Related Health Impact on Public Health

Abstract

In 21st Century monitoring environmental value is a challenging and complex task but technology has changed now we can easily find the air quality index of any area. In the existing scenario, we will easily get air quality and environmental parameters on the internet. On the internet generalize statistical data is available which shows the quality of air. In a current scenario, the environmental parameter is impacting human health. In day today, the air quality index going worse and it impacts people's health. The people are facing different health issues like hair loss, asthma, lunges, and heart problems. It is important to know the environmental condition in our day-to-day traveling route. Recently air pollution is increased, the increase of harmful air particles is majorly affecting by the air quality index. Due to exposure to air pollutants, affects human health and causing many hazardous diseases like asthma and many more having a major impact on the lungs. The air pollution is impacting public health and creating multiple health-related problems, this causes a major medical cost every year derived from the disease. To travel safely with considering the health issues is a major concern in an urban area. In this paper, highlighting the impact of the air quality index on the human body, where the Air Quality Index is measured using the concerned information, this information will help to suggest a safe route where the air quality index is low so it can decrease the impact on human health. To find the safest path between source and destination we are using Dijkstra's algorithm. In this paper, we have studied the different research papers and made a comparative study to find the research gaps. The proposed model is a step up in the standard of living in regard to human health. The proposed model is consisting of three main components a) Air quality index b) health impact and c) safest path. In the first model the real-time data is collecting from the government agency or private agency these data will store in the database for analysis. The huge amount of data will handle by evaluation and analysis model in this model the data sanitization process will apply to get the more accurate data from sources it also calculates the different air particles and its ranges this data will transfer to the second model for identifying the health impact. The health impact model will calculate the average air quality index, time for traveling, and distance from the source to destination. This information will process to find short-term and long-term health impacts on public health. In the third safest path model, it will show the different nodes from source to destination at a particular distance. each node information will be stored in the form of a weighted graph in the database. Dijkstra’s algorithm is applying to find the safest path from source to destination. Dijkstra’s algorithm finds the node such that where its air quality value is less the algorithm will identify each node path in the graph such that the average traveling path consists of less air pollution.