干旱区生态环境知识资源中心(Arid): Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system

Arid

DOI	10.1016/j.apr.2021.101173
	Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system
	Gholami, Hamid; Mohammadifar, Aliakbar; Malakooti, Hossein; Esmaeilpour, Yahya; Golzari, Shahram; Mohammadi, Fariborz; Li, Yue; Song, Yougui; Kaskaoutis, Dimitris G.; Fitzsimmons, Kathryn Elizabeth; Collins, Adrian L.
通讯作者	Gholami, H (corresponding author), Univ Hormozgan, Dept Nat Resources Engn, Bandar Abbas, Hormozgan, Iran.
来源期刊	ATMOSPHERIC POLLUTION RESEARCH
ISSN	1309-1042
出版年	2021
卷号	12 期号:9
英文摘要	Spatial mapping of dust sources in arid and semi-arid regions is necessary to mitigate on-site and off-site impacts. In this study, we apply a novel integrated modelling approach including leave one feature out (LOFO) - as a technique for feature selection -, deep learning (DL) models (gcForest and bidirectional long short-term memory (Bi-LSTM)), game theory (GT) and a Gaussian copula-based multivariate (GCBM) model for mapping dust sources in Central Asia (CA). Eight factors (precipitation, cation exchange capacity, bulk density, wind speed, slope, silt content, lithology and coarse fragment content) were selected by LOFO as effective for controlling dust emissions, and were used in the novel modelling process. Six statistical indicators were utilized to assess the performance of the two DL models and a hybrid copula-gcForest model, while a sensitivity analysis of the models was also carried out. The hybrid copula-gcForest model was identified as the most accurate, predicting that 16%, 7.1%, 9.5% and 67.4% of the study area is grouped at low, moderate, high and very high susceptibility classes for dust emissions, respectively. Based on permutation feature importance measure (PFIM) and Shapely Additive exPlanations (SHAP), bulk density, precipitation and coarse fragment content were evaluated as the three most important factors with the highest contributions to the predictive model output. The study area suffers from intense wind erosion and the generated spatial maps of dust sources may be helpful for mitigating and controlling dust phenomena in CA.
英文关键词	Dust spatial mapping Effective factors Deep learning Hybrid copula-gcForest model Gaussian copula model Model sensitivity Central asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000697680600003
WOS关键词	JAZMURIAN BASIN ; SOUTHWEST ASIA ; WESTERN CHINA ; MINERAL DUST ; CASPIAN SEA ; TIAN-SHAN ; TRANSPORT ; EROSION ; DESERT ; REGION
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
来源机构	中国科学院地球环境研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362664
作者单位	[Gholami, Hamid; Mohammadifar, Aliakbar; Esmaeilpour, Yahya] Univ Hormozgan, Dept Nat Resources Engn, Bandar Abbas, Hormozgan, Iran; [Malakooti, Hossein] Univ Hormozgan, Fac Marine Sci & Technol, Bandar Abbas, Hormozgan, Iran; [Golzari, Shahram] Univ Hormozgan, Dept Elect & Comp Engn, Bandar Abbas, Hormozgan, Iran; [Golzari, Shahram] Univ Hormozgan, Deep Learning Res Grp, Bandar Abbas, Hormozgan, Iran; [Mohammadi, Fariborz] Univ Hormozgan, Minab Higher Educ Ctr, Dept Agr, Bandar Abbas, Iran; [Mohammadi, Fariborz] Univ Hormozgan, Hormoz Res Ctr, Hormozgan, Iran; [Li, Yue; Song, Yougui] Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China; [Li, Yue; Song, Yougui] CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China; [Li, Yue] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Kaskaoutis, Dimitris G.] Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens 15784, Greece; [Kaskaoutis, Dimitris G.] Univ Crete, Dept C...
推荐引用方式 GB/T 7714	Gholami, Hamid,Mohammadifar, Aliakbar,Malakooti, Hossein,et al. Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system[J]. 中国科学院地球环境研究所,2021,12(9).
APA	Gholami, Hamid.,Mohammadifar, Aliakbar.,Malakooti, Hossein.,Esmaeilpour, Yahya.,Golzari, Shahram.,...&Collins, Adrian L..(2021).Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system.ATMOSPHERIC POLLUTION RESEARCH,12(9).
MLA	Gholami, Hamid,et al."Integrated modelling for mapping spatial sources of dust in central Asia-An important dust source in the global atmospheric system".ATMOSPHERIC POLLUTION RESEARCH 12.9(2021).