CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • CGIAR Research Program on Water, Land and Ecosystems (WLE)
    • WLE Phase I Research Themes
    • Managing Resource Variability and Competing Use
    • View Item
       
    • CGSpace Home
    • CGIAR Research Program on Water, Land and Ecosystems (WLE)
    • WLE Phase I Research Themes
    • Managing Resource Variability and Competing Use
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Increasing Early Warning Lead Time Through Improved Transboundary Flood Forecasting in the Gash River Basin, Horn of Africa

    Thumbnail
    
    Authors
    Amarnath, Giriraj
    Alahacoon, Niranga
    Gismalla, Y.
    Mohammed, Y.
    Sharma, Bharat R.
    Smakhtin, Vladimir U.
    Date
    2016
    Language
    en
    Type
    Book Chapter
    Accessibility
    Limited Access
    Metadata
    Show full item record
    Share
    Citation
    Amarnath, Giriraj [IWMI]; Alahacoon, Niranga [IWMI]; Gismalla, Y. [NARS]; Mohammed, Y. [NARS]; Sharma, Bharat R. [IWMI]; Smakhtin, Vladimir [IWMI] 2016. Increasing early warning lead time through improved transboundary flood forecasting in the Gash River Basin, Horn of Africa. In Adams, T. E. III; Pagano, T. C. (Eds.). Flood forecasting: a global perspective. London, UK: Academic Press. pp.183-200.
    Permanent link to cite or share this item: http://hdl.handle.net/10568/77128
    External link to download this item: http://www.sciencedirect.com/science/article/pii/B9780128018842000086
    DOI: https://dx.doi.org/10.1016/B978-0-12-801884-2.00008-6
    Abstract/Description
    Historically, flooding is the most common environmental hazard worldwide, and also one of the most threatening to communities. Hydrological modeling of large river catchments has become a challenging task for water resources engineers due to the complexity of collecting and handling both spatial and nonspatial data, such as rainfall, gauge-discharge data, and topographic and hydraulic parameters. The Gash is a transboundary river which originates from the Eritrean Highlands and Ethiopian Plateau, and ends up in Sudan. It is unique in its discharge flows with torrential rain between Jul. and Oct., while being dry for the rest of the year. Despite this characteristic, the river is the main source of water for domestic and agricultural use in Kassala City, Sudan. In this chapter, we briefly present the potential application of satellite-based rainfall estimates, and develop a flood forecasting model for the Gash River Basin, Sudan, through a distributed modeling approach using remote sensing data. The approach includes rainfall-runoff modeling, hydrodynamic flow routing, and calibration and validation of the model with field discharge data. The study area is divided into 25 subbasins to improve model accuracy. To generate relevant parameters for modeling, GlobCover land cover data (1000 m), Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) at 90 m, and the Food and Agriculture Organization of the United Nations (FAO) soil grid data using freely available datasets were used for the Gash River in Eastern Sudan. Based on several studies in Eastern Africa on the choice of satellite-based rainfall estimates, Tropical Rainfall Measuring Mission (TRMM) was used to represent the actual rainfall pattern and intensity of the basin. Model simulations were carried out using the HEC-HMS model. From 6 years (2007–12) of available discharge data for five stations, the period 2008–11 was considered for calibration with 2008 as the warming-up period, and data from 2007 and 2012 were used for validation. The model was tested during the 2013 floods at real-time, 3-h intervals. The accuracy of the estimated peak flood discharge and lag time was found to be good with reference to field observation data. Flood forecasting lead time is increased by 12 h compared to conventional methods of forecasting.
    CGIAR Affiliations
    Water, Land and Ecosystems
    AGROVOC Keywords
    FLOOD FORECAST; DISTRIBUTED HYDROLOGICAL MODELING; DIGITAL ELEVATION MODEL; FLOOD ROUTING; GASH RIVER; EASTERN SUDAN
    Collections
    • Managing Resource Variability and Competing Use [422]

    AboutPrivacy policySend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedBy CGIAR System subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy CPWF subjectBy CCAFS subjectBy CIFOR subjectBy IWMI subjectBy RegionBy CountryBy SubregionBy CRP subjectBy River basinBy Output typeBy CTA subjectBy WLE subjectBy Bioversity subjectBy CIAT subjectBy CIP subjectBy animal breedBy CGIAR System subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy policySend Feedback