干旱区生态环境知识资源中心(Arid): Performance Evaluation of a Fuzzy Hybrid Clustering Technique to Identify Flood Source Areas

Arid

DOI	10.1007/s11269-019-02385-7
	Performance Evaluation of a Fuzzy Hybrid Clustering Technique to Identify Flood Source Areas
	Dehghanian, Naser; Nadoushani, S. Saeid Mousavi; Saghafian, Bahram; Akhtari, Ruhangiz
通讯作者	Nadoushani, SSM (corresponding author), Shahid Beheshti Univ, Fac Civil Water & Environm Engn, Dept Water Resources Management, Tehran, Iran.
来源期刊	WATER RESOURCES MANAGEMENT
ISSN	0920-4741
EISSN	1573-1650
出版年	2019
卷号	33 期号:13 页码:4621-4636
英文摘要	Prioritization of flood source areas (FSAs) is of paramount importance in flood management to adopt proportional measures within a watershed. Unit Flood Response (UFR) approach has been proposed to identify FSAs at subwatershed and/or cell scale. In this study, a distributed modified Clark (ModClark) model coupled with Muskingum flow routing method was used for hydrological simulations. Furthermore, SOMFCM clustering techniques involving Self-Organizing Feature Maps (SOFM) and Fuzzy C-Means algorithm (FCM) were used to identify Hydrologic Homogenous Regions (HHRs). The case studies were two semi-arid watersheds including Tangrah in northeastern Iran and eastern part of Walnut Gulch Experimental Watershed (WGEW) in Arizona. DEM-derived geomorphological and hydrological features were entered into Factor Analysis (FA) to determine the most effective variables in runoff generation. The optimum SOMFCM resulted in clustered HHRs map which was generally similar to that of the UFR-delineated FSAs at cell scale, especially in cases of maximum flood index values for both watersheds. Although clustering techniques, such as SOMFCM, cannot directly provide a map of FSAs involving absolute values of flood index, most dominant watershed physical features may be used to identify the most critical, or effective FSAs through clustered HHRs. Application of SOMFCM in two semi-arid watersheds demonstrated that SOMFCM provides a simple and useful tool to qualitatively identify the ranking of FSAs across a watershed. Therefore, the clustered HHRs involving higher ranks of FSAs that represent the most flood active regions, are expected to assist policymakers for effective management of floods.
英文关键词	Flood source areas (FSAs) Fuzzy C-means algorithm (FCM) Hydrologic homogenous regions (HHRs) Distributed ModClark Self-organizing feature maps (SOFM) Unit flood response (UFR)
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000511600900013
WOS关键词	FREQUENCY-ANALYSIS ; REGIONALIZATION ; IDENTIFICATION ; WATERSHEDS ; RAINFALL ; VALIDITY ; REGIONS ; MODEL ; MAP
WOS类目	Engineering, Civil ; Water Resources
WOS研究方向	Engineering ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369695
作者单位	[Dehghanian, Naser; Nadoushani, S. Saeid Mousavi] Shahid Beheshti Univ, Fac Civil Water & Environm Engn, Dept Water Resources Management, Tehran, Iran; [Saghafian, Bahram] Islamic Azad Univ, Sci & Res Branch, Dept Tech & Engn, Tehran, Iran; [Akhtari, Ruhangiz] SCWMRI, Tehran, Iran
推荐引用方式 GB/T 7714	Dehghanian, Naser,Nadoushani, S. Saeid Mousavi,Saghafian, Bahram,et al. Performance Evaluation of a Fuzzy Hybrid Clustering Technique to Identify Flood Source Areas[J],2019,33(13):4621-4636.
APA	Dehghanian, Naser,Nadoushani, S. Saeid Mousavi,Saghafian, Bahram,&Akhtari, Ruhangiz.(2019).Performance Evaluation of a Fuzzy Hybrid Clustering Technique to Identify Flood Source Areas.WATER RESOURCES MANAGEMENT,33(13),4621-4636.
MLA	Dehghanian, Naser,et al."Performance Evaluation of a Fuzzy Hybrid Clustering Technique to Identify Flood Source Areas".WATER RESOURCES MANAGEMENT 33.13(2019):4621-4636.