Arid
DOI10.1007/s12517-020-06341-3
A comparative study of the estimation methods for NRCS curve number of natural arid basins and the impact on flash flood predications
Farran, Mohammed M.; Elfeki, Amro; Elhag, Mohamed; Chaabani, Anis
通讯作者Farran, MM (corresponding author), King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah, Saudi Arabia.
来源期刊ARABIAN JOURNAL OF GEOSCIENCES
ISSN1866-7511
EISSN1866-7538
出版年2021
卷号14期号:2
英文摘要There are various methods to estimate the curve number (CN) for flood studies. In the ungauged basins, hydrologists rely on the use of an NRCS-CN table called (CNdesign). The CNdesign, in this study, is estimated using remote sensing techniques and geographical information systems based on alluvium-rock-vegetation classification of natural basins. However, in gauged basins, it is common to use rainfall-runoff data through the application of the least-squares method (LSM) to get the best CN value (CNobs), or the asymptotic fitting method (AFM) to obtain asymptotic CN (CN infinity). A comparison between these methods is made under the effect of changing both the coefficient of abstraction ratio, lambda, and the effect of data sorting techniques to find out the best estimation of CN for reliable prediction of floods. A methodology has been developed to convert the NRCS-CN table values at lambda =0.2 to lambda =0.01 for arid basins. The relationship between the observed CN and the NRCS-CN table shows that estimating runoff using lambda =0.2 is best made by CN of the impervious area (CNimp=90) instead of 98 (for urban areas) used in the literature. The highest value of CN between the methods is the CNdesign, then CNobs. CN infinity shows the lowest value. Therefore, for a safe design of the hydraulic structures, it is recommended to use CNdesign. However, for the simulation of the rainfall (P)-runoff (Q) process in the natural basins, it is recommended to use CNobs at the natural sorting of data pairs (P: Q). The root mean square error (RMSE) of CN is reduced from 11 at CNimp=98 to 7 at CNimp=90. This value reflects the infiltration process in the rocks due to the high density of fractures and fissures in the mountains in the area. The developed NRCS-CN table at lambda =0.01 reduces the RMSE of the estimated runoff depth by 57%.
英文关键词Curve number (CN) Asymptotic fitting method (AFM) Least-squares method (LSM) Geographic information system (GIS) Arid basins Saudi Arabia
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000609876100003
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/2XILL650/347724
作者单位[Farran, Mohammed M.; Elhag, Mohamed; Chaabani, Anis] King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah, Saudi Arabia; [Elhag, Mohamed] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China; [Elhag, Mohamed] German Univ Technol Oman, Dept Appl Geosci, Fac Sci, Muscat 1816, Oman
推荐引用方式
GB/T 7714
Farran, Mohammed M.,Elfeki, Amro,Elhag, Mohamed,et al. A comparative study of the estimation methods for NRCS curve number of natural arid basins and the impact on flash flood predications[J],2021,14(2).
APA Farran, Mohammed M.,Elfeki, Amro,Elhag, Mohamed,&Chaabani, Anis.(2021).A comparative study of the estimation methods for NRCS curve number of natural arid basins and the impact on flash flood predications.ARABIAN JOURNAL OF GEOSCIENCES,14(2).
MLA Farran, Mohammed M.,et al."A comparative study of the estimation methods for NRCS curve number of natural arid basins and the impact on flash flood predications".ARABIAN JOURNAL OF GEOSCIENCES 14.2(2021).
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