干旱区生态环境知识资源中心(Arid): Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms

Arid

DOI	10.1016/j.apgeog.2021.102495
	Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms
	Nafarzadegan, Ali Reza; Ebrahimi-Khusfi, Zohre; Kazemi, Mohamad
通讯作者	Nafarzadegan, AR (corresponding author), Univ Hormozgan, Dept Nat Resources Engn, Bandar Abbas, Hormozgan, Iran.
来源期刊	APPLIED GEOGRAPHY
ISSN	0143-6228
EISSN	1873-7730
出版年	2021
卷号	133
英文摘要	Aeolian dust emission is a serious environmental hazard in central Iran. We attempted to map the dust emission prone (DEP) areas in this region of Iran using the most accurate model among the random forest (RF), conditional RF (CRF), parallel RF (PRF), and extremely randomized trees (ERT) models. These models were evaluated using the Taylor diagram, Nash Sutcliffe coefficient, and Kling-Gupta efficiency. The generated map of DEP areas was also validated based on an aerosols optical depth (AOD) dataset. The Shapely values were used to determine the contribution of factors controlling dust events in DEP areas. The high performance and reliability of the ERT model for mapping DEP territories were confirmed by both error assessment statistics and reclassified AOD map. Using the ERT-generated map, five dust generation susceptibility classes including very low (20.16%), low (19.99%), moderate (19.82%), high (24.11%), and very high (15.92%) were identified in the study region. Drought severity, solar radiation, soil moisture, geology, soil sand content, bulk density, vegetation cover, land use, and slope were detected as the key features controlling dust emissions in central Iran. These results are useful for developing programs to reduce dust emissions hazards in DEP areas, particularly in central Iran.
英文关键词	Dust-source areas Land susceptibility Remote sensing Boruta algorithm Game theory Arid environments
类型	Article
语种	英语
收录类别	SSCI
WOS记录号	WOS:000674511600004
WOS关键词	WIND EROSION ; SOIL-MOISTURE ; STORMS ; SUSCEPTIBILITY ; TEMPERATURE ; AREA
WOS类目	Geography
WOS研究方向	Geography
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362484
作者单位	[Nafarzadegan, Ali Reza] Univ Hormozgan, Dept Nat Resources Engn, Bandar Abbas, Hormozgan, Iran; [Ebrahimi-Khusfi, Zohre] Univ Jiroft, Fac Nat Resources, Dept Ecol Engn, Jiroft, Iran; [Kazemi, Mohamad] Univ Hormozgan, Hormoz Studies & Res Ctr, Bandar Abbas, Hormozgan, Iran
推荐引用方式 GB/T 7714	Nafarzadegan, Ali Reza,Ebrahimi-Khusfi, Zohre,Kazemi, Mohamad. Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms[J],2021,133.
APA	Nafarzadegan, Ali Reza,Ebrahimi-Khusfi, Zohre,&Kazemi, Mohamad.(2021).Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms.APPLIED GEOGRAPHY,133.
MLA	Nafarzadegan, Ali Reza,et al."Spatial characterization of dust emission prone arid regions using feature extraction and predictive algorithms".APPLIED GEOGRAPHY 133(2021).