Demystifying uncertainty in PM10 susceptibility mapping using variable drop-off in extreme-gradient boosting (XGB) and random forest (RF) algorithms

被引：0
|
作者：
Omar F. AlThuwaynee
Sang-Wan Kim
Mohamed A. Najemaden
Ali Aydda
Abdul-Lateef Balogun
Moatasem M. Fayyadh
Hyuck-Jin Park
机构：
[1] Sejong University,Department of Energy and Mineral Resources Engineering
[2] Ministry of Environment,Department of Geology, Faculty of Sciences
[3] Ibn Zohr University,Geospatial Analysis and Modelling (GAM) Research Laboratory, Department of Civil and Environmental Engineering
[4] Universiti Teknologi PETRONAS (UTP),Engineering Services and Asset Management
[5] John Holland Group,undefined
来源：
Environmental Science and Pollution Research | 2021年 / 28卷
关键词：
PM10; Air quality modeling; Landsat 8 OLI/TIRS imagery; Spectral indices; Petroleum cities; Urban planning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：43544 / 43566
页数：22
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