Open Access
The Prediction of Air Quality Status
Author(s) -
Slamet Isworo,
Poerna Sri Oetari,
Indah Noor Alita,
Tozan Ajie
Publication year - 2019
Publication title -
international journal of applied science
Language(s) - English
Resource type - Journals
eISSN - 2576-7259
pISSN - 2576-7240
DOI - 10.30560/ijas.v2n1p7
Subject(s) - air quality index , air pollution , environmental science , air pollution index , pollution , national standard , index (typography) , environmental engineering , nitrogen dioxide , quality (philosophy) , civil engineering , meteorology , engineering , computer science , geography , ecology , philosophy , chemistry , organic chemistry , pulp and paper industry , epistemology , world wide web , biology
Construction of the National Railway Station Cross Station Kedundang - New Yogyakarta Airport Station is an accelerated development program in supporting the economy of the special region of Yogyakarta. Construction of the railroad as a consequence of infrastructure development that enables potential impacts on the surrounding environment. This study is a predictive study of air quality that might occur after operational construction of a fire pathway with Nitrogen Dioxide (NO2) with the Gas Sampler-Spectrophotometer-Saltzman Method, Carbon Monoxide (CO) with the gas sampler-NDIR analyzer method and dust particles with the dust sample, Hi-Vol gravimetric method. The data obtained is then converted into modeling using Caline 4 software, so that air quality prediction is obtained at the time of operation. Air quality category predictions use the standard air pollution index standard. The results of the analysis of the air quality parameters show a good category, only on the CO2 parameters that address high concentrations. however, based on CO2 conversion using the value of the Air Pollution Standard Index is predicted to remain in the "Good" category at the time of project operation. Therefore an air quality study is needed in the railroad development plan through an analysis study of environmental impacts, so that the management and monitoring of air quality can be carried out properly so as to cause disruption to the environment.