Abstract
The Geospatial Stream Flow Model (GeoSFM) has been widely applied in data scarce regions for flood forecasting and stream flow simulation with remotely acquired data. GeoSFM was applied in the Upper Awash River basin (UARB) with observed input data set. GeoSFM sensitivity to observed input data quality, subbasin partition, and change in parameter were investigated. Results demonstrated that GeoSFM is sensitive to the size and number of subbasins. Among the eight model parameters, the basin loss and curve number are the most sensitive in UARB. GeoSFM evaluation using a split sample of 10 years observed daily discharge showed satisfactory performance, Nash-Sutcliff Efficiency 0.67 and 0.70, coefficient of determination, 0.60 and 0.65 for calibration and validation, respectively. The monthly average simulation captured 76 % of the observed variability over 10 years. Comparative analysis suggested increasing partitions improves performance in capturing flooding events and the single basin scenario can potentially be used for flood forecasting or resource assessment purposes. The 60 % coverage of vertisol in the basin and low quality of observed data affected model performance. Further evaluation of GeoSFM in heterogeneous soil type and land use/cover can help to identify the influence of dominant physical characteristics. In general, GeoSFM offers a competent platform for stream flow simulation and water resource assessment in data scarce regions.
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References
Artan G, Gadain H, Smith J, Asante K, Bandaragoda C, Verdin J (2007) Adequacy of satellite derived rainfall data for stream flow modeling. Nat Hazards 43(2):167–185
Artan GA, Asante K, Smith J, Pervez S, Entenmann D, Verdin JP, Rowland J (2008) Users manual for the geospatial stream flow model (GeoSFM). US Geological Survey
Asante KO, Artan GA, Pervez S, Ci Bandaragoda, Verdin JP (2008a) Technical manual for the geospatial stream flow model (GeoSFM). US geological survey, Reston
Asante KO, Arlan GA, Pervez S, Rowland J (2008b) A linear geospatial streamflow modeling system for data sparse environments. Int J River Basin Manage 6(3):233–241
Asante KO, Macuacua RD, Artan GA, Lietzow RW, Verdin JP (2007) Developing a flood monitoring system from remotely sensed data for the limpopo basin. IEEE Trans Geosci Remote Sens 45(6):1709–1714
Asfaw B, Gilbert WH, Beyene Y, Hart WK, Renne PR, WoldeGabriel G, Vrba ES, White TD (2002) Remains of Homo erectus from Bouri, Middle Awash. Ethiopia. Nature 416(6878):317–320
Assefa A, Melesse AM Admasu S (2014) Climate change in Upper Gilgel Abay river catchment, blue Nile basin Ethiopia. In: Melesse AM, Abtew W, Setegn S (Eds) Nile river basin: ecohydrological challenges, climate change and hydropolitics. pp 363–388
Behulu F, Setegn S, Melesse AM, Fiori A (2013) Hydrological analysis of the Upper Tiber Basin: a watershed modeling approach. Hydrol Process 27(16):2339–2351
Behulu F, Setegn S, Melesse AM, Romano E, Fiori A (2014) Impact of climate change on the hydrology of Upper Tiber River basin using bias corrected regional climate model. Water Res Manage 1–17
Bono R, Seiler W (1983) The soil of the Suke-Hararge Research Unit (Ethiopia) classification, morphology and ecology with soil scale of 1: 5000. Soil Conservation Research Project. University of Bern, University of Switzeralnd and The United Nations University, Tokyo
Christensen JH, Hewitson B, Busuioc A, Chen A, Gao X, Held I, Jones R, Kolli RK, Kwon WT, Laprise R, Magãna Rueda V, Mearns L, Meńendez CG, Räisänen J, Rinke A, Sarr A, Whetton P (2007) Regional climate projections. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds) Climate change: the physical science basis, contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge
Collier P, Conway G, Venables T (2008) Climate change and Africa. Oxford Review of Econ Policy 24(2):337–353. doi:10.1093/oxrep/grn019
Cunge JA (1969) On the subject of a flood propagation computation method (Muskingum Method). J Hydraul Res 7(2):205–230
Dessu SB, Melesse AM (2012) Modelling the rainfall–runoff process of the Mara River basin using the soil and water assessment tool. Hydrol Process 26(26):4038–4049. doi:10.1002/hyp.9205
Dessu SB, Melesse AM (2013a) Evaluation and comparison of satellite and GCMs rainfall estimates for the mara river basin, kenya/tanzania. In: Younos T, Grady CA (eds) Climate change and water resources. The handbook of environmental chemistry. Springer, Berlin. doi:10.1007/698_2013_219
Dessu SB, Melesse AM (2013b) Impact and uncertainties of climate change on the hydrology of the Mara River basin. Kenya/Tanzania. Hydrol Process 27(20):2973–2986
Dessu SB, Melesse AM, Bhat MG, McClain ME (2014) Assessment of water resources availability and demand in the Mara River Basin. CATENA 115:104–114
DPPC (1997) Food vulnerability in Ethiopia and needs for preparedness. Disaster Prevention and Prepardness Commission, Addis Ababa
Edossa D, Babel M, Das Gupta A (2010) Drought analysis in the Awash River Basin, Ethiopia. Water Res Manage 24(7):1441–1460
Funk C, Michaelsen J, Verdin J, Artan G, Husak G, Senay G, Gadain H, Magadazire T (2003) The collaborative historical African rainfall model: description and evaluation. Int J Climatol 23(1):47–66
Getachew HE, Melesse AM (2012) Impact of land use/land cover change on the hydrology of Angereb watershed, Ethiopia. Int J Water Sci doi: 10.5772/56266, Vol. 1, 4:1-7
Getahun A (1978) Agricultural systems in Ethiopia. Agric Syst 3(4):281–293
Grey OP, Webber Dale G, Setegn SG, Melesse AM (2013) Application of the soil and water assessment tool (SWAT Model) on a small tropical Island state (great river watershed, Jamaica) as a tool in integrated watershed and coastal zone management. Int J Trop Biol Conserv 62(3):293–305
Haile-Selassie Y (2001) Late miocene hominids from the middle Awash, Ethiopia. Nature 412(6843):178–181
IGBP-DIS (2000) Global soil data products (compact disc). International geosphere-biosphere program, data and information services
IPCC (2007) Climate change 2007: the physical science basis. Contribution of working group i to the fourth assessment report of the intergovernmental panel on climate change. In: Solomon SD, Qin M, Manning Z, Chen M, Marquis KB, Averyt M, Tignor HL, Miller (ed) Cambridge University Press, Cambridge
Johanson D, Edey M (1990) Lucy: the beginnings of humankind. Touchstone Books
Jutzi S (1988) Deep black clay soils (Vertisols): management options for the Ethiopian highlands. Mountain research and development 153–156
Kim NW, Lee J (2010) Enhancement of the channel routing module in SWAT. Hydrol Process 24(1):96–107
Mango L, Melesse AM, McClain ME, Gann D, Setegn SG (2011a) Land use and climate change impacts on the hydrology of the Upper Mara River Basin, Kenya: results of a modeling study to support better resource management, special issue: climate, weather and hydrology of east African highlands. Hydrol Earth Syst Sci 15:2245–2258. doi:10.5194/hess-15-2245-2011
Mango L, Melesse AM, McClain ME, Gann D, Setegn SG (2011b) Hydro-meteorology and water budget of mara River basin, Kenya: a land use change scenarios analysis, In: Melesse A (ed) Nile river basin: hydrology, climate and water use (Chap. 2). Springer Science Publisher, pp 39-68, doi: 10.1007/978-94-007-0689-7_2
Mohammed H, Alamirew T, Assen M, Melesse AM (2015) Modeling of sediment yield in maybar gauged watershed using SWAT, northeast Ethiopia. CATENA 127:191–205
Mati BM, Mutie S, Gadain H, Home P, Mtalo F (2008) Impacts of land-use/cover change on the hydrology of the Transboundary mara river, Kenya/Tanzania. Lakes Reservoirs Res Manage 13:169–177
Moreda F, Bauwens W (1998) Influences of variability of rainfall on flow regimes in central Ethiopia. IAHS publication, pp 297–306
Munzimi Y, Hansen MC, Asante KO (2010) Congo basin streamflow characterization using multi-source satellite-derived data: preliminary results. In: AGU Fall Meeting Abstracts, p 1283
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10(3):282–290
Paulos S (1998) Water release rules for Koka Reservoire for wet seasons. Addis Ababa University, Addis Ababa
Rogner M (2000) Benefit cost consideration for inter-basin water transfers between the middle Awash River basin and the Upper Rift Valley in Ethiopia. Darmstadt University of Technology, Darmstadt
Setegn SG, Melesse AM, Haiduk A, Webber D, Wang X, McClain M (2014) Spatiotemporal distribution of fresh water availability in the Rio Cobre Watershed. Jamaica CATENA 120:81–90
Shrestha MS (2011) Bias-adjustment of satellite-based rainfall estimates over the central Himalayas of Nepal for flood prediction. A Dissertation for the Degree of Doctor of Engineering Department of Civil and Earth Resources Engineering, Kyoto University, Japan
Taddese G, Sonder K, Peden D (2003) The water of the Awash River Basin: a future challenge to Ethiopia. ILRI, Addis Ababa
USDA-SCS (1972) National engineering handbook, hydrology section 4. USDA
Wagener T (2003) Evaluation of catchment models. Hydrol Process 17(16):3375–3378
Wang X, Shang S, Yang W, Melesse AM (2008a) Simulation of an agricultural watershed using an improved curve number method in SWAT. Tans Am Soc Agri Bio Engineers 51(4):1323–1339
Wang X, Yang W, Melesse AM (2008b) Using hydrologic equivalent wetland concept within SWAT to estimate streamflow in watersheds with numerous wetlands. Tans Am Soc Agri Bio Engineers 51(1):55–72
Wang X, Melesse AM, Yang W (2006) Influences of potential evapotranspiration estimation methods on SWAT’s hydrologic simulation in a Northwestern Minnesota Watershed. Trans ASAE 49(6):1755–1771
Wang X, Melesse AM (2006) Effects of STATSGO and SSURGO as inputs on SWAT model’s snowmelt simulation. J Am Water Res Assoc 42(5):1217–1236
Wang X, Melesse AM (2005) Evaluations of the SWAT model’s snowmelt hydrology in a Northwestern Minnesota Watershed. Trans ASAE 48(4):1359–1376
Wang X, Garza J, Whitney M, Melesse AM, Yang W (2008c) Prediction of sediment source areas within watersheds as affected by soil data resolution. In: Paul N (ed) Environmental modelling: new research (Findley; ISBN: 978-1-60692-034-3), Ch. 7, p 151–185, Nova science publishers, Inc., Hauppauge, NY 11788
White KL, Chaubey I (2005) Sensitivity analysis, calibration, and validation for a multisite and multivariable SWAT Model. JAWRA J Am Water Res Assoc 41(5):1077–1089
Yanda PZ, Mubaya CP (2011) Managing a changing climate in Africa, local level vulnerabilities and adaptation experiences. Mkuki Na Nyota, Dar-Es-Salaam
Acknowledgment
This work was supported by the Ethiopian Ministry of Water Resources, Addis Ababa University, the U.S. Agency for International Development and the U.S. Geological Survey.
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Dessu, S.B., Seid, A.H., Abiy, A.Z., Melesse, A.M. (2016). Flood Forecasting and Stream Flow Simulation of the Upper Awash River Basin, Ethiopia Using Geospatial Stream Flow Model (GeoSFM). In: Melesse, A., Abtew, W. (eds) Landscape Dynamics, Soils and Hydrological Processes in Varied Climates. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-319-18787-7_18
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