USING ATMOSPHERIC SIMULATION AND DATA ANALYSIS TO GET A BETTER GRASP ON HAZE EMISSIONS IN CHINA.

Abstract

Among China's most critical environmental issues, haze has become an ongoing problem. A full understanding of its roots and effects is still difficult to gain due to persisting obstacles. Examining how haze emissions may be better comprehended by the identification of emission source profiles using atmospheric modelling, this research examined the importance of this process. The research employed a quantitative methodology and stratified sampling to ensure that different areas and emission sectors were accurately represented. The survey collected 452 genuine answers from individuals working in the field of air quality control. The researcher examined the data for notable relationships and patterns using SPSS version 25 with ANOVA. The findings demonstrate that source profiling may help to understand uncertain dynamics. Simulations that showed the differences in emissions from traffic, industry, coal combustion and agriculture helped to better grasp the sources and significance of pollution. Some worries also came to light at the same time. Profile was not particularly helpful in finding out where pollution was originating from because of old emission inventories, not enough monitoring coverage and the fact that the weather was unpredictable. The findings of this study provide a framework that may be used to improve the incorporation of weather modelling into environmental policy and measurement procedures. If China has the necessary institutional support and the most recent data inputs, source profiling may be able to assist the country in achieving more accurate reductions in emissions and maintenance of gains in air quality.