Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques-Reference-Cited by-同舟云学术

Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques

Published:2021-01-01 Issue:1 Volume:12 Page:1778-1796
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Hamed Hussein Habeeb¹,Jumaah Huda Jamal²,Kalantar Bahareh³^ORCID,Ueda Naonori³,Saeidi Vahideh⁴,Mansor Shattri⁵,Khalaf Zainab Ali⁶

Affiliation:

1. Technical Engineering College - Kirkuk, Northern Technical University, Kirkuk, Iraq

2. Department of Environment and Pollution Engineering, Technical Engineering College - Kirkuk, Northern Technical University, Kirkuk, Iraq

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

4. Department of Mapping and Surveying, Darya Tarsim Consulting Engineers Co. Ltd, Tehran, Iran

5. Faculty of Engineering, Department of Civil Engineering, Geospatial Information Science Research Centre (GISRC), Universiti Putra Malaysia, Serdang, Malaysia

6. College of Electronic Engineering, Ninevah University, Mosul, Iraq

Funder

RIKEN Centre for Advanced Intelligence Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2021.1946602

Reference59 articles.

1. Particulate matter components, sources, and health: Systematic approaches to testing effects

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

3. GIS Based Spatial Modeling to Mapping and Estimation Relative Risk of Different Diseases Using Inverse Distance Weighting (IDW) Interpolation Algorithm and Evidential Belief Function (EBF) (Case study: Minor Part of Kirkuk City, Iraq)

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