Study on the impact of air quality in agricultural and health sectors

3rd International Conference on Chemical Engineering Sciences and Applications 2017

Chairani, S.^1

Department of Agricultural Engineering, Syiah Kuala University, Banda Aceh

23111, Indonesia^1

关键词: Agricultural crops;    Agricultural productivity;    Air quality indices;    CO2 concentration;    Irrigation systems;    Literature reviews;    Monitoring stations;    Secondary datum;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/334/1/012028/pdf
DOI  :  10.1088/1757-899X/334/1/012028

来源: IOP

【 摘 要 】

This study focused on the impact of air quality in agricultural and health sectors. The impact of CO2on the agricultural crops was conducted by using literature review and the impact of air quality was conducted using secondary data to calculate the Air Quality Index (AQI), derived from some monitoring stations available in Indonesia. Numerous studies showed that the elevated CO2decreased the agricultural productivity. Maize yields decreased by 15 % in areas which used irrigation system and 8 % in areas which used rainfed. Maize yields had already experienced severe losses without increasing CO2concentrations. It decreased by 21 % for irrigated maize and 26 % by rainfed maize. In addition, it turned out that other elevated pollutants, such as SO2, NO2, SPM, O3, CH4, PM2.5, PM10and TSP also occurred in the atmosphere. These pollutants' effects might harm human being in term of health concern. The USEPA had developed a tool, called the Air Quality Index (AQI) calculator to calculate the pollutants' concentrations in a daily basis. This tool's function to inform how clean or polluted the air that we breathed was with the health effects based on the concentrations of each pollutant. The AQI also provided the information on sensitive groups, health effects and cautionary statements. Based on the air daily data which derived from Board of Meteorology, Climatology and Geophysics (BMKG) of Indonesia, the AQI in Indonesia varied from good, moderate to unhealthy categories; with level of health concern was respiratory diseases, such as asthma.