干旱区生态环境知识资源中心(Arid): A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia

Arid

DOI	10.3390/rs15215193
	A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia
	Alsubhi, Yazeed; Qureshi, Salman; Siddiqui, Muhammad Haroon
通讯作者	Qureshi, S
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:21
英文摘要	Dust storms are one of the major causes of the destruction of natural ecosystems and human infrastructure worldwide. Therefore, the identification and mapping of susceptible regions to dust storm formation (SRDSFs) is of great importance. Determining SRDSFs by considering the concept of risk in the decision-making process and the kind of manager's attitude and planning can be very valuable in dedicating financial resources and time to identifying and controlling the negative impacts of SRDSFs. The purpose of this study was to present a new risk-based method in decision making to create SRDSF maps of pessimistic and optimistic scenarios. To achieve the purpose of this research, effective criteria obtained from various sources were used, including simulated surface data, satellite products, and soil data of Saudi Arabia. These effective criteria included vegetation cover, soil moisture, soil erodibility, wind speed, precipitation, and absolute air humidity. For this purpose, the ordered weighted averaging (OWA) model was employed to generate existing SRDSF maps in different scenarios. The results showed that the wind speed and precipitation criteria had the highest and lowest impact in identifying dust centers, respectively. The areas identified as SRDSFs in very pessimistic, pessimistic, neutral, optimistic, and very optimistic scenarios were 85,950, 168,275, 255,225, 410,000, and 596,500 km2, respectively. The overall accuracy of very pessimistic, pessimistic, neutral, optimistic, and very optimistic scenarios were 84.1, 83.3, 81.6, 78.2, and 73.2%, respectively. The very pessimistic scenario can identify the SRDSFs in the study area with higher accuracy. The overall accuracy of the results of these scenarios compared to the dust sources obtained from the previous studies were 92.7, 94.2, 95.1, 88.4, and 79.7% respectively. The dust sources identified in the previous studies have a higher agreement with the results of the neutral scenario. The proposed method has high flexibility in producing a wide range of SRDSF maps in very pessimistic to very optimistic scenarios. The results of the pessimistic scenarios are suitable for risk-averse managers with limited financial resources and time, and the results of the optimistic scenarios are suitable for risk-taking managers with sufficient financial resources and time.
英文关键词	dust sources risk-based scenarios machine learning ordered weighted averaging (OWA) Saudi Arabia
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001099576100001
WOS关键词	CLIMATE-CHANGE ; SOURCE REGIONS ; NORTH-AFRICA ; MIDDLE-EAST ; IDENTIFICATION ; IMPACTS ; STORMS ; DESERTIFICATION ; EMISSION ; INCREASE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398339
推荐引用方式 GB/T 7714	Alsubhi, Yazeed,Qureshi, Salman,Siddiqui, Muhammad Haroon. A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia[J],2023,15(21).
APA	Alsubhi, Yazeed,Qureshi, Salman,&Siddiqui, Muhammad Haroon.(2023).A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia.REMOTE SENSING,15(21).
MLA	Alsubhi, Yazeed,et al."A New Risk-Based Method in Decision Making to Create Dust Sources Maps: A Case Study of Saudi Arabia".REMOTE SENSING 15.21(2023).