POTENTIAL OF SATELLITE RAINFALL ESTIMATES AS INPUT FOR FLOOD FORECAST IN GASH RIVER BASIN
data sets for daily and/or hourly time steps. For more than 80 % of the storm events, the comparison of the peak rainfalls with the peak discharges showed a reasonable agreement. This result reflects the high potential for SRE data sets to be used as input for hydrological modeling and flood forecasting in Gash river and other basins with similar characteristics.
The Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) software of the Army Corps of Engineering of the USA can be used as a forecasting tool.
. Basher, R., Barrantes, M., Harding, J., Silvia Llosa,
S., Moubarak, K., Schärpf, C., and Zarian, P.
Global Survey of Early Warning Systems.
Assessment report, the United Nations, final
Version, 2006. Accessed on 15 July, 2015 through:
. Hossain, F., Katiyar, N., Hong, Y., Wolf A. The
emerging role of satellite rainfall data in improving
the hydro-political situation of flood monitoring in
the under-developed regions of the world Nat.
Hazards (2007) 43:199–210.
. Pappenberger F., Cloke H. L., Parker D. J.,
Wetterhall F., Richardson D. S., Jutta Thielen J.,
(2015). The monetary benefit of early flood
warnings in Europe. Environmental e science and
policy 51 (2015) 278-291.
. Samanta, S., Koloa, C., Kumar, D. P., and
Palsamanta B. GIS Flood Risk Analysis in Lower
Part of Markham River Based on Multi-Criteria
Decision Approach (MCDA). Hydrology 2016, 3,
. Guleid A. Artan, Miguel Restrepo, Kwabena
Asante James Verdin. A flood warning system for
Southern Africa. Pecora 15/Land Satellite
Information IV/ISPRS Commission I/FIEOS 2002,
. Rokaya P., (2014), Flood simulation using public
domain data for a data scarce transboundary basin:
the case of Gash River Basin, Horn of Africa. M.
Sc. Thesis submitted to the UNESCO-IHE Institute
for Water Education, Delft, the Netherlands.
. Giriraj A, and Sharma B. Application of remote
sensing and GIS in flood inundation mapping for
spate irrigation assessment, Training manual, 2013.
Wad Medani, Sudan.
. Windarto, J. (2010), A flood early warning system
developed at Garang River Semarang using
information technology base on SMS and Web,
international journal of geomatics and geosciences,
(1), pp. 14-28.
. Azam, M., Kim, H. S., Maeng, S. J. Development
of flood alert application in Mushim stream
watershed Korea. International Journal of Disaster
Risk Reduction 21 (2017) 11–26.
. Bashar, K. E., Abdo, G. M., and Gadain, H. M. Use
of space technology in the management of wadi
water resources, Sudan Engineering Society
Journal 71l, 57 (1) pp. 11-17 (2011).
. Vera T., Rojas R., Mauriccio Z. B., Levizzan V.
Validation of Satellite-Based Precipitation
Products over Sparsely Gauged African River
Basins. Journal of Hydrometeorogy. Volume 13-
. Hossain, F. Satellites as the Panacea to
Transboundary Limitations for Longer Term Flood
Forecasting. International Water Resources
Association Water International. 32 (3), pp. 376-
. GRIMES, D. I. F. Satellite-based rainfall
estimation for river flow forecasting in Africa. I:
Rainfall estimates and hydrological forecasts.
Hydrological Sciences–Journal–des Sciences
Hydrologiques, 48(4) August 2003.
. Artan, G. A; Gadain, H; Smith, JL; Asante, K;
Bandaragoda, CJ; Verdin, JP. Adequacy of satellite
derived rainfall data for streamflow modelling.
Natural Hazards 43: 167-185 (2007).
. Harris A, Rahman S., Hossain F., Yarborough L.,
Bagtzoglou A. C., Easson G. (2007). Satellitebased Flood Modeling Using TRMM-based
Rainfall Products. Sensors 2007, 7, 3416-3427.
. Ledesma J. L. J. and Futter M. N., (2017). Gridded
climate data products are an alternative to
instrumental measurements as inputs to rainfall–
runoff models, Hydrological Processes. 2017;1–11
. Han, W. S.; Steven J. B.; Shepherd, M. Assessment
of satellite-based rainfall estimates in urban areas
in different geographic and climatic regions. Nat
Hazards (2011) 56:733–747.
. Moctar Dembélé & Sander J. Zwart (2016)
Evaluation and comparison of satellite-based
rainfall products in Burkina Faso, West Africa.
International Journal of Remote Sensing, 37:17,
. Li, L., Hong Y., Wang J., Adler R. F., Policelli F.
S., Habib S., Irwn D., Korme T., and Okello L.,
Evaluation of the real-time TRMM-based multisatellite precipitation analysis for an operational
flood prediction system in Nzoia Basin, Lake
Victoria, Africa, Natural hazards, 50 (1), pp. 109-
. Elsheikh, A. E.M. Babikir, I. A.A., Zeinelabdein,
K.A.E., Elobeid, S.A. The evolution of the River
Gash Basin, eastern Sudan. Journal of
environmental hydrology, the electronic journal of
the international association for environmental
hydrology. Volume 17: 2009.
. Hago A. Hydro chemical Characteristics of
Groundwater, Midstream Area - Gash River Basin,
Eastern Sudan, M.Sc. dissertation, Geophysics
Berlin, Germany (2014).
. MOIWR, River Gash annual reports. Ministry of
Irrigation and Water Resources, Sudan, (2001 –
. Nguyen, T, H. Rainfall-Runoff modeling using
public domain datasets: Sre Pok Catchment,
Vietnam - Cambodia. M. Sc. Thesis submitted to
the UNESCO-IHE Institute for Water Education,
Delft, the Netherlands (2015).
. Kishor, C., Panigrahi, B., Paul, J. C. Simulation of
rainfall-runoff process using HEC-HMS model for
Balijore Nala watershed, Odisha, India,
International journal of geomantic and
geosciences, 5 (2), pp. 253-265 (2014).
. Praveen, R., and Kalpesh, B., Simulation of
Rainfall -Runoff Process Using HEC-HMS, 20th
International Conference on Hydraulics, Water
Resources and River Engineering, IIT Roorkee,
. Razi,M. A. M., Ariffin, J., Tahir, W., and Arish, N.
A, M. Flood estimation study using Hydrologic
Modeling System (HEC-HMS) for Johor River,
Malaysia, journal of Applied Science, 10 (11), pp
– 939 (2010)
- There are currently no refbacks.