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Hydrological modelling and assessment in arid region using remote sensing and GIS = a case study in Southeast Sinai, Egypt /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hydrological modelling and assessment in arid region using remote sensing and GIS/ by Ali Hagras.
Reminder of title:	a case study in Southeast Sinai, Egypt /
Author:	Hagras, Ali.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiii, 132 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction to Hydrological Modelling in arid region -- Physical Characteristics of the Southeast Sinai, Egypt -- Delineating Groundwater Potential Zones within Southeast Sinai, Egypt Using Remote Sensing and GIS Techniques and Analytic Hierarchy Process (AHP) -- Hydrological Modelling of Rainfall-Runoff in the Watir Valley Basin, Nuweiba area, Southeast Sinai, Egypt, Using the HEC-HMS Model through GIS -- Flash Flood Risk Modelling in the Watir Valley Basin, Nuweiba area, Southeast Sinai, Egypt, using GIS-based Morphometric Analysis and Remote Sensing Techniques -- Surface Runoff Modelling using SCS-CN and GIS approach in the Kid Valley Basin, Nebk area, Southeast Sinai, Egypt.
Contained By:	Springer Nature eBook
Subject:	Hydrologic models - Case studies. - Egypt -
Online resource:	https://doi.org/10.1007/978-3-032-04235-4
ISBN:	9783032042354

Hydrological modelling and assessment in arid region using remote sensing and GIS = a case study in Southeast Sinai, Egypt /
Hagras, Ali.

Hydrological modelling and assessment in arid region using remote sensing and GISa case study in Southeast Sinai, Egypt /[electronic resource] :by Ali Hagras. - Cham :Springer Nature Switzerland :2025. - xiii, 132 p. :ill. (some col.), digital ;24 cm. - Springer hydrogeology,2364-6462. - Springer hydrogeology..

Introduction to Hydrological Modelling in arid region -- Physical Characteristics of the Southeast Sinai, Egypt -- Delineating Groundwater Potential Zones within Southeast Sinai, Egypt Using Remote Sensing and GIS Techniques and Analytic Hierarchy Process (AHP) -- Hydrological Modelling of Rainfall-Runoff in the Watir Valley Basin, Nuweiba area, Southeast Sinai, Egypt, Using the HEC-HMS Model through GIS -- Flash Flood Risk Modelling in the Watir Valley Basin, Nuweiba area, Southeast Sinai, Egypt, using GIS-based Morphometric Analysis and Remote Sensing Techniques -- Surface Runoff Modelling using SCS-CN and GIS approach in the Kid Valley Basin, Nebk area, Southeast Sinai, Egypt.

The primary hydrologic parameters in assessing water resources are rainfall and runoff which also play a major role in controlling groundwater recharge. In light of the changing global climate, the socioeconomics and lifestyle modalities within the research region heavily depend on the hydrologic modelling of the catchments. Therefore, to simulate and estimate water availability, hydrologic models with reliable data must be used. In addition, reliable rainfall-based storm runoff forecasts are also essential for flood hazard mitigation and adaption. Floods rank among the catchment's most severe natural disasters, causing substantial property damage, fatalities, and economic risk. Furthermore, reliable modelling is an effective way to mitigate and prevent these flood threats.

ISBN: 9783032042354

Standard No.: 10.1007/978-3-032-04235-4doiSubjects--Topical Terms:

3802465
Hydrologic models
--Egypt--Case studies.

LC Class. No.: GB656.2.H9

Dewey Class. No.: 551.48011

Hydrological modelling and assessment in arid region using remote sensing and GIS = a case study in Southeast Sinai, Egypt /
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520 $a The primary hydrologic parameters in assessing water resources are rainfall and runoff which also play a major role in controlling groundwater recharge. In light of the changing global climate, the socioeconomics and lifestyle modalities within the research region heavily depend on the hydrologic modelling of the catchments. Therefore, to simulate and estimate water availability, hydrologic models with reliable data must be used. In addition, reliable rainfall-based storm runoff forecasts are also essential for flood hazard mitigation and adaption. Floods rank among the catchment's most severe natural disasters, causing substantial property damage, fatalities, and economic risk. Furthermore, reliable modelling is an effective way to mitigate and prevent these flood threats.
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