干旱区生态环境知识资源中心(Arid): Affinity propagation approach for catchment classification applied to arid catchments

Arid

DOI	10.1016/j.jafrearsci.2021.104374
	Affinity propagation approach for catchment classification applied to arid catchments
	Hidayatulloh, Asep; Bamufleh, Sameer; Chaabani, Anis; Al-Wagdany, Abdullah; Elfeki, Amro
通讯作者	Hidayatulloh, A (corresponding author), King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Fac Meteorol, Dept Hydrol & Water Resources Management, POB 80208, Jeddah 21589, Saudi Arabia.
来源期刊	JOURNAL OF AFRICAN EARTH SCIENCES
ISSN	1464-343X
EISSN	1879-1956
出版年	2021
卷号	184
英文摘要	One of the major issues in the arid region is the availability of hydrological data for hydrological studies of the catchments for water resources projects. Since the Kingdom of Saudi Arabia (KSA) is a huge country and contains many arid catchments it is awfully expensive and time-consuming to make hydrological networks for studying all these catchments. Therefore, the Affinity Propagation (AP) clustering technique is proposed to cluster catchments into groups that are similar in morphological, hydrological, and land cover characteristics and defining an exemplar (a representative catchment) to each group. This catchment is utilized for the installation of a detailed hydrological network. The hydrological response of that catchment can be transferred and scaled appropriately to other catchments in the cluster since they are hydrologically and morphologically similar. A pilot study is performed on 18 sub-catchments in the southwestern part of KSA. GIS software is used to extract catchment attributes and the clustering process is performed using the AP cluster packages in R software. The results show that four clusters are obtained based on the morphological attributes (twenty-eight attributes), five clusters based on hydrological attributes (twelve attributes), and three clusters based on land cover and CN (three kinds of land cover as attributes). The AP clustering technique was evaluated by the construction of a correlation matrix that shows a high correlation of 0.817-0.999. This study provides a robust technique that is effective and efficient to identify the similarity of catchments and can help hydrologists to develop a catchment management application in arid regions.
英文关键词	Catchment classification Affinity propagation Arid catchment Morphological attributes Hydrologic response R software
类型	Article
语种	英语
开放获取类型	Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000712216200003
WOS关键词	SOUTHWEST SAUDI-ARABIA ; SPATIAL-TEMPORAL MODEL ; FLOOD RISK-ASSESSMENT ; SOIL LOSS EQUATION ; RAINFALL-RUNOFF ; BASIN ; REGIONALIZATION ; SYSTEM
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374100
作者单位	[Hidayatulloh, Asep; Bamufleh, Sameer; Chaabani, Anis; Al-Wagdany, Abdullah; Elfeki, Amro] King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Fac Meteorol, Dept Hydrol & Water Resources Management, POB 80208, Jeddah 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Hidayatulloh, Asep,Bamufleh, Sameer,Chaabani, Anis,et al. Affinity propagation approach for catchment classification applied to arid catchments[J],2021,184.
APA	Hidayatulloh, Asep,Bamufleh, Sameer,Chaabani, Anis,Al-Wagdany, Abdullah,&Elfeki, Amro.(2021).Affinity propagation approach for catchment classification applied to arid catchments.JOURNAL OF AFRICAN EARTH SCIENCES,184.
MLA	Hidayatulloh, Asep,et al."Affinity propagation approach for catchment classification applied to arid catchments".JOURNAL OF AFRICAN EARTH SCIENCES 184(2021).