干旱区生态环境知识资源中心(Arid): Application of a Bayesian belief network model for assessing the risk of wind erosion: A test with data from wind tunnel experiments

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DOI	10.1016/j.aeolia.2019.100543
	Application of a Bayesian belief network model for assessing the risk of wind erosion: A test with data from wind tunnel experiments
	Kouchami-Sardoo, I 1; Shirani, H.2; Esfandiarpour-Boroujeni, I 2; Bashari, H.3
通讯作者	Esfandiarpour-Boroujeni, I ; Bashari, H.
来源期刊	AEOLIAN RESEARCH
ISSN	1875-9637
EISSN	2212-1684
出版年	2019
卷号	41
英文摘要	The complexity of the interactions between drivers in wind erosion processes and the absence of adequate and reliable data are major constraints to achieving a quantitative assessment of wind erosion. Bayesian Belief Networks (BBNs) provide a useful approach to address real-world problems, where available data and knowledge are disparate, limited or uncertain. We investigated the potential use of BBNs to assess soil erosion risk in a typical arid region that experiences severe wind erosion. The developed framework was based on a standard risk assessment procedure, where the risk of wind erosion was quantified by incorporating assessments of consequence and vulnerability. Performance of the constructed model was evaluated using scenario testing, sensitivity analysis, and wind-tunnel measurements. The model provided reasonable estimates of the soil vulnerability, consequence, and risk to/of wind erosion. The results showed that weather and management factors were the most important parameters affecting wind erosion risk. Based on the fitted regression lines, there were positive (R2 = 0.82) and negative (R2 = 0.72) relationships between the measured wind erosion rates and the predicted probabilities to 'high' and 'low' vulnerability classes, respectively.
英文关键词	Wind tunnel Asset value Consequence Vulnerability Uncertainty Expert knowledge
类型	Article
语种	英语
国家	Iran
收录类别	SCI-E
WOS记录号	WOS:000491605300007
WOS关键词	INNER MONGOLIA REACH ; CLIMATE-CHANGE ; AGRICULTURAL LANDS ; SPATIAL VARIATION ; SOIL-EROSION ; YELLOW-RIVER ; DUST STORMS ; ARID AREAS ; FIELD ; PREDICTION
WOS类目	Geography, Physical
WOS研究方向	Physical Geography
EI主题词	2019-12-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311306
作者单位	1.Vali E Asr Univ Rafsanjan, Coll Agr, Dept Soil Sci, Rafsanjan, Iran; 2.Vali E Asr Univ Rafsanjan, Fac Agr, Dept Soil Sci, Rafsanjan, Iran; 3.Isfahan Univ Technol, Dept Nat Resources, Esfahan, Iran
推荐引用方式 GB/T 7714	Kouchami-Sardoo, I,Shirani, H.,Esfandiarpour-Boroujeni, I,et al. Application of a Bayesian belief network model for assessing the risk of wind erosion: A test with data from wind tunnel experiments[J],2019,41.
APA	Kouchami-Sardoo, I,Shirani, H.,Esfandiarpour-Boroujeni, I,&Bashari, H..(2019).Application of a Bayesian belief network model for assessing the risk of wind erosion: A test with data from wind tunnel experiments.AEOLIAN RESEARCH,41.
MLA	Kouchami-Sardoo, I,et al."Application of a Bayesian belief network model for assessing the risk of wind erosion: A test with data from wind tunnel experiments".AEOLIAN RESEARCH 41(2019).