Construction of IDF curves based on NRCS synthetic rainfall hyetographs and daily rainfall records in arid regions

被引:4
|
作者
Al-Wagdany A.S. [1 ]
机构
[1] Department of Hydrology and Water Resources Management, King Abdulaziz University, P. O. Box 80208, Jeddah
关键词
Arid regions; Extreme rainfall; IDF curves; NRCS rainfall distributions; Rainfall disaggregation; Rainfall duration; Rainfall intensity; Saudi Arabia;
D O I
10.1007/s12517-021-06922-w
中图分类号
学科分类号
摘要
Construction of intensity-duration-frequency (IDF) curves is crucially important for the design and management of hydro-systems and hydraulic structures. The existence of long-term records of short-duration rainfall is essential for the development of IDF curves. In arid regions, short-duration rainfall records are usually scarce and daily rainfall data are the most commonly available. However, synthetic rainfall hyetographs can afford a simple and suitable tool for extracting short-duration rainfall from daily rainfall data. This study aims to evaluate the ability of the four standard NRCS synthetic rainfall distributions to generate short-duration rainfall data from daily data that might be used to construct IDF curves for an arid region in western Saudi Arabia. The historical intensity and daily rainfall records are collected from 10 recording rainfall stations in Jeddah-Makkah-Taif (JMT) hydrologic region located in western Saudi Arabia. In this study, 2-, 3-, 6-, 12-, and 24-h types I, IA, II, and III NRCS dimensionless rainfall time distributions are used to convert the observed daily rainfall data into shorter duration data. The generated data are used to develop IDF curves and they were compared with those constructed from the available observed rainfall intensity data. Values of the mean absolute percentage error (MAPE) for the used gauge stations range between 5 and 11%. The comparison shows that the NRCS synthetic rainfall distributions are capable to generate short-duration rainfall data that can be used to construct IDF curves for the JMT region. The results also suggest that the 6-h type II NRCS distribution produced IDF curves that are very comparable with those extracted from the observed data. The results also indicate that the 3-h types I and III NRCS distributions have relatively low overall mean values of MAPE (10 to 12%). They can be considered the second-best choice after the 6-h NRCS distribution for developing IDF curves for the study region. This may highlight the applicability of the proposed technique in the JMT region. © 2021, Saudi Society for Geosciences.
引用
收藏
相关论文
共 21 条
  • [1] Generation of Rainfall Intensity Duration Frequency (IDF) Curves for Ungauged Sites in Arid Region
    Al-Amri N.S.
    Subyani A.M.
    [J]. Earth Systems and Environment, 2017, 1 (1)
  • [2] How to construct future IDF curves, under changing climate, for sites with scarce rainfall records?
    Liew, San Chuin
    Raghavan, Srivatsan V.
    Liong, Shie-Yui
    [J]. HYDROLOGICAL PROCESSES, 2014, 28 (08) : 3276 - 3287
  • [3] Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides
    Bezak, Nejc
    Sraj, Mojca
    Mikos, Matjaz
    [J]. JOURNAL OF HYDROLOGY, 2016, 541 : 272 - 284
  • [4] IDF curves and daily rainfall generation for Al-Madinah city, western Saudi Arabia
    Ali M. Subyani
    Nassir S. Al-Amri
    [J]. Arabian Journal of Geosciences, 2015, 8 : 11107 - 11119
  • [5] IDF curves and daily rainfall generation for Al-Madinah city, western Saudi Arabia
    Subyani, Ali M.
    Al-Amri, Nassir S.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (12) : 11107 - 11119
  • [6] Annual Daily Maximum Rainfall-Based IDF Curve Derivation Methodology
    Sen, Zekai
    [J]. EARTH SYSTEMS AND ENVIRONMENT, 2019, 3 (03) : 463 - 469
  • [7] Annual Daily Maximum Rainfall-Based IDF Curve Derivation Methodology
    Zekâi Şen
    [J]. Earth Systems and Environment, 2019, 3 : 463 - 469
  • [8] A new methodology for estimating rainfall aggressiveness risk based on daily rainfall records for multi-decennial periods
    Garcia-Barron, Leoncio
    Morales, Julia
    Sousa, Arturo
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 615 : 564 - 571
  • [9] Investigating regional distribution for maximum daily rainfall in arid regions: case study in Saudi Arabia
    Wael M. Abdeen
    Ayman G. Awadallah
    Nagy A. Hassan
    [J]. Arabian Journal of Geosciences, 2020, 13
  • [10] Investigating regional distribution for maximum daily rainfall in arid regions: case study in Saudi Arabia
    Abdeen, Wael M.
    Awadallah, Ayman G.
    Hassan, Nagy A.
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (13)