Open AccessDetermining PM10 Model in Hanoi Using Landsat 8 Oli and Ground-measured Dust Data
Author(s) -
Nguyen Nhu Hung,
Tran Van Anh,
Phạm Quang Vinh,
Nguyễn Thanh Bình,
Vu Van Hoang
Publication year - 2018
Publication title -
tạp chí khoa học đại học quốc gia hà nội: nghiên cứu giáo dục (vnu journal of science: education research)/tạp chí khoa học đại học quốc gia hà nội: các khoa học trái đất và môi trường (vnu journal of science: earth and environmental sciences)
Language(s) - English
Resource type - Journals
eISSN - 2615-9279
pISSN - 2588-1094
DOI - 10.25073/2588-1094/vnuees.4146
Subject(s) - aerodynamic diameter , particulates , correlation coefficient , mean squared error , regression analysis , coefficient of determination , linear regression , environmental science , satellite , remote sensing , ground level , mathematics , meteorology , atmospheric sciences , statistics , geography , physics , chemistry , engineering , architectural engineering , ground floor , organic chemistry , astronomy
PM10 (Particulate matter 10 is a dust with aerodynamic diameters of 0.001 ÷ 10μm) is one of the air pollutants affecting human health. In this study, we conducted a modeling study to identify PM10 dust in the air by using Landsat 8 OLI satellite image, along with PM10 ground-measured data using the machine DustTrak II . Conduct regression analysis to determine the correlation model. Here, we used 16 in-situ measurement points. In that, 10 points were used to determine the regression function and 6 other points were used to test the regression model. Results were evaluated based on correlation coefficient (R) and Root Mean Square Error (RMSE) between measured and calculated data.