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Physically-based, distributed hydrologic model for Makkah watershed using GPM satellite rainfall and ground rainfall stations

  • Ahmed M. Al-Areeq
  • , Muhammad A. Al-Zahrani*
  • , Hatim O. Sharif
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

The purpose of this study is to understand flooding in a 1,725-km2 arid catchment in Makkah Province, Saudi Arabia, with very limited ground observations. This mountainous catchment includes densely urbanized areas built on lowlands and in the ephemeral streams of flood zones, which makes them vulnerable to flooding. A physically based, fully distributed hydrologic model was produced by three Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (IMERG) high-resolution satellite rainfall products, together with a limited number of ground observations to simulate recent flood events. The hydrologic model was calibrated and validated using two events that occurred in 2010 and 2018, respectively. Details of the flooding in the urbanized areas were examined through simulation of a third event. Significant differences were noticed when the three IMERG rainfall products (Early, Late, and Final) were compared in terms of the spatial patterns and total half-hour accumulation for the three events. Accordingly, a method was developed to remove the biases of IMERG rainfall estimates using ground observations. The Early product was the closest to ground observations, producing peak discharges of 428m3/s and 663.6m3/s for calibration and validation storm events, respectively, and resulted in better estimates of the observed peak discharge even before adjustment. The Final run product significantly underestimated rainfall, as peak discharges of 204m3/s and 123m3/s for calibration and validation storm events, respectively, resulted in an amplified underestimation of the runoff.

Original languageEnglish
Pages (from-to)1234-1257
Number of pages24
JournalGeomatics, Natural Hazards and Risk
Volume12
Issue number1
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Floods
  • GPM
  • IMERG
  • Makkah city
  • hydrologic modeling
  • satellite rainfall

ASJC Scopus subject areas

  • General Environmental Science
  • General Earth and Planetary Sciences

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