POTENTIAL OF SATELLITE RAINFALL ESTIMATES AS INPUT FOR FLOOD FORECAST IN GASH RIVER BASIN

El-Hadi Adam, Barsi B.I., Mohamed Y.A.

Abstract


Gash River, in Eastern Sudan - Kassala state, is a seasonal flashy river. It originates from the Ethiopian-Eritrean highland and flows towards Sudan. The absence of reliable observed data in the catchment made the rainfall-runoff study a challenging task. This study is an attempt to test the potentiality for using satellite derived data for hydrological modelling in the river basin. Two Satellite Rainfall Estimate (SRE) data sets were used from two different sources namely; Tropical Rainfall Measurement Mission (TRMM-3B42RT) and Global Satellite Mapping of Precipitation (GSMaP_NRT). Observed hydrograph at the catchment outlet was compared to the areal average SRE from the two
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.

Keywords


Gash Basin; Flash flood Forecasting; Rainfall-runoff modeling; HEC-HMS; TRMM

Full Text:

PDF

References


. 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:

http://www.un.org/largerfreedom/

. 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,

; doi:10.3390/hydrology3030029

. 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,

Conference Proceedings.

. 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-

-1780.

. Hossain, F. Satellites as the Panacea to

Transboundary Limitations for Longer Term Flood

Forecasting. International Water Resources

Association Water International. 32 (3), pp. 376-

, (2007).

. 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.

www.mdpi.org/sensors

. 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,

-4014 (2012).

. 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-

(2009).

. 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.

http://www.hydroweb.com (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,

India (2015).

. 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)


Refbacks

  • There are currently no refbacks.