Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jafrearsci.2019.103697 |
Variability of the asymptotic curve number in mountainous undeveloped arid basins based on historical data: Case study in Saudi Arabia | |
Farran, Mohammed M.; Elfeki, Amro M. | |
通讯作者 | Farran, Mohammed M. |
来源期刊 | JOURNAL OF AFRICAN EARTH SCIENCES |
ISSN | 1464-343X |
EISSN | 1879-1956 |
出版年 | 2020 |
卷号 | 162 |
英文摘要 | In temperate regions, there are relatively enough measurements of rainfall and runoff and therefore estimation of curve number (CN) is made by inverse modelling. There is a lack of studies for CN in arid regions from rainfallrunoff measurements, therefore, a focus is made on analyzing CN in mountainous arid catchments in Saudi Arabia (SA) from measured events. The study is carried out on five basins with 19 sub-basins in the southwestern part of SA. 161 rainfall storms are analyzed. The asymptotic fitting method (AFM) is used to estimate the asymptotic CN (CN infinity) The analysis showed that the dominant curve number-precipitation (CN-P) relationship is the standard behavior and CN infinity shows high variability. There is an overall trend of increasing CN infinity with the increasing of the initial abstraction ratio (lambda). The correlation coefficient, r, and root mean square error (RMSE, CN units) between the measured and fitted CN are 0.77 (14.8), 0.95 (3.3), and 0.96 (2.4) respectively for lambda = 0.01, 0.2 and 0.3 respectively for the case of natural sorting of data pairs. The same trend is noticed for the case of ordered sorting of data pairs with relatively higher r, and lower RMSE (0.797 (9.7), 0.979 (1.9) and 0.985 (1.3), for 7.0.01, 0.2 and 0.3 respectively). For the natural data sorting, the CN infinity varies from 0 to 61. However, for the ordered data sorting, the CN infinity varies from 29 to 83. The CN infinity, in the current study, is in the same order of magnitude with similar arid and semi-arid regions, however, CN infinity is lower when compared with temperate regions, which reflects the effect of transmission losses in the wadi system in mountainous basins. Most of the floodwater is lost during the infiltration process though the wadi bed. It seems misleading to use CN infinity to estimate runoff in this region since the asymptotic value of CN (CN infinity) has not been reached yet within the range of rainfall data except at lambda = 0.01 with the lowest correlation coefficient and highest RMSE. |
英文关键词 | NRCS-CN method Least squares method Asymptotic fitting method Saudi Arabia Mountainous arid basins |
类型 | Article |
语种 | 英语 |
国家 | Saudi Arabia |
收录类别 | SCI-E |
WOS记录号 | WOS:000509618000009 |
WOS关键词 | INITIAL ABSTRACTION ; RAINFALL ; PARAMETERS ; WATERSHEDS |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
EI主题词 | 2020-02-01 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/312775 |
作者单位 | King Abdulaziz Univ, Fac Meteorol Environm & Arid Land Agr, Dept Hydrol & Water Resources Management, Jeddah, Saudi Arabia |
推荐引用方式 GB/T 7714 | Farran, Mohammed M.,Elfeki, Amro M.. Variability of the asymptotic curve number in mountainous undeveloped arid basins based on historical data: Case study in Saudi Arabia[J],2020,162. |
APA | Farran, Mohammed M.,&Elfeki, Amro M..(2020).Variability of the asymptotic curve number in mountainous undeveloped arid basins based on historical data: Case study in Saudi Arabia.JOURNAL OF AFRICAN EARTH SCIENCES,162. |
MLA | Farran, Mohammed M.,et al."Variability of the asymptotic curve number in mountainous undeveloped arid basins based on historical data: Case study in Saudi Arabia".JOURNAL OF AFRICAN EARTH SCIENCES 162(2020). |
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