干旱区生态环境知识资源中心(Arid): Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia

Arid

DOI	10.3390/su151814028
	Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia
	Helmi, Ahmed M.; Elgamal, Mohamed; Farouk, Mohamed I.; Abdelhamed, Mohamed S.; Essawy, Bakinam T.
通讯作者	Helmi, AM
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2023
卷号	15 期号:18
英文摘要	Providing an accurate spatiotemporal distribution of rainfall and filling data gaps are pivotal for effective water resource management. This study focuses on the Asir region in the southwest of Saudi Arabia. Given the limited accuracy of satellite data in this arid/mountain-dominated study area, geospatial interpolation has emerged as a viable alternative approach for filling terrestrial records data gaps. Furthermore, the irregularity in rain gauge data and the yearly spatial variation in data gaps hinder the creation of a coherent distribution pattern. To address this, the Centered Root Mean Square Error (CRMSE) is employed as a criterion to select the most appropriate geospatial interpolation technique among 51 evaluated methods for maximum and total yearly precipitation data. This study produced gap-free maps of total and maximum yearly precipitation from 1966 to 2013. Beyond 2013, it is recommended to utilize ordinary Kriging with a J-Bessel semivariogram and simple Kriging with a K-Bessel semivariogram to estimate the spatial distribution of maximum and total yearly rainfall depth, respectively. Additionally, a proposed methodology for allocating additional rain gauges to improve the accuracy of rainfall spatial distribution is introduced based on a cross-validation error (CVE) assessment. Newly proposed gauges in the study area resulted in a significant 21% CVE reduction.
英文关键词	geospatial interpolation data gaps kriging optimum rainfall locations arid region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:001145320600001
WOS关键词	SPATIAL INTERPOLATION ; PRECIPITATION ; VARIABILITY ; PERFORMANCE ; REGRESSION ; VARIABLES ; NETWORK ; CLIMATE
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398838
推荐引用方式 GB/T 7714	Helmi, Ahmed M.,Elgamal, Mohamed,Farouk, Mohamed I.,et al. Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia[J],2023,15(18).
APA	Helmi, Ahmed M.,Elgamal, Mohamed,Farouk, Mohamed I.,Abdelhamed, Mohamed S.,&Essawy, Bakinam T..(2023).Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia.SUSTAINABILITY,15(18).
MLA	Helmi, Ahmed M.,et al."Evaluation of Geospatial Interpolation Techniques for Enhancing Spatiotemporal Rainfall Distribution and Filling Data Gaps in Asir Region, Saudi Arabia".SUSTAINABILITY 15.18(2023).