Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia

Author:

Jumaah Huda Jamal1,Ameen Mohammed Hashim2,Kalantar Bahareh3ORCID,Rizeei Hossein Mojaddadi4,Jumaah Sarah Jamal5

Affiliation:

1. Department of Environment and Pollution Engineering, Technical College of Kirkuk, Northern Technical University, Kirkuk, Iraq;

2. Department of Environmental Engineering, Engineering College, Tikrit University, Tikrit, Iraq;

3. RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo, Japan;

4. The Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia;

5. Department of Physic, College of Science, University of Kirkuk, Kirkuk, Iraq

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference40 articles.

1. Ahmad A, Hashim M, Hashim MN, Ayof MN, Budi AS. 2009. The use of remote sensing and GIS to estimate Air Quality Index (AQI) Over Peninsular Malaysia. GIS development. https://www.geospatialworld.net/linkout/154551.

2. Spatial Monitoring of Desertification Extent in Western Iraq using Landsat Images and GIS

3. Modeling Traffic Congestion Based on Air Quality for Greener Environment: An Empirical Study

4. Assessing Weather Effects on Dengue Disease in Malaysia

5. Applications of GIS to the Modeling of NonPoint Source Pollutants in the Vadose Zone: A Conference Overview

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