318
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Rainfall-runoff simulation using satellite rainfall in a scarce data catchment

, , &
Pages 161-174 | Received 03 Aug 2020, Accepted 19 Jan 2021, Published online: 01 Mar 2021

References

  • Abd Elhamid AM, Eltahan AM, Mohamed LM, Hamouda IA. 2020. Assessment of the two satellite-based precipitation products TRMM and RFE rainfall records using ground based measurements. Alex Eng J. 59(2):1049–1058. doi: 10.1016/j.aej.2020.03.035
  • Agbonkhese O, Agbonkhese E, Aka E, Joe-Abaya J, Ocholi M, Adekunle A. 2014. Flood menace in Nigeria: impacts, remedial and management strategies. Civ Environ Res. 6(4):32–40.
  • Arias-Hidalgo M, Bhattacharya B, Mynett A, van Griensven A. 2012. Experiences in using the TRMM data to complement rain gauge data in the Ecuadorian coastal foothills. Hydrol Earth Sys Sci Discuss. 9(11):12435–12461.
  • Babatolu JS, Akinnubi RT, Folagimi AT, Bukola OO. 2014. Variability and trends of daily heavy rainfall events over Niger river basin development authority area in Nigeria. Am J Clim Change. 3(1):1. doi: 10.4236/ajcc.2014.31001
  • Bayissa Y, Tadesse T, Demisse G, Shiferaw A. 2017. Evaluation of satellite-based rainfall estimates and application to monitor meteorological drought for the Upper Blue Nile basin, Ethiopia. Remote Sens 9(7):669. doi: 10.3390/rs9070669
  • Bennett TH, Peters JC. 2000. Continuous soil moisture accounting in the hydrologic Engineering center hydrologic Modeling system (HEC-HMS). ASCE Technical Publication. 8806(1):1–10.
  • Burlando P, Rosso R, Cadavid LG, Salas JD. 1993. Forecasting of short-term rainfall using ARMA models. J Hydrol. 144(1-4):193–211. doi: 10.1016/0022-1694(93)90172-6
  • Cohen Liechti T, Matos J, Boillat J-L, Portela M, Schleiss A. 2014. Hydraulic–hydrologic model for water resources management of the Zambezi basin. J Appl Water Eng Res. 2(2):105–117. doi: 10.1080/23249676.2014.958581
  • Dube T, Gumindoga W, Chawira M. 2014. Detection of land cover changes around Lake Mutirikwi, Zimbabwe, based on traditional remote sensing image classification techniques. Afr J Aquat Sci. 39(1):89–95. doi: 10.2989/16085914.2013.870068
  • Fang N-F, Shi Z-H, Li L, Guo Z-L, Liu Q-J, Ai L. 2012. The effects of rainfall regimes and land use changes on runoff and soil loss in a small mountainous watershed. Catena. 99:1–8. doi: 10.1016/j.catena.2012.07.004
  • Farr TG, Kobrick M. 2000. Shuttle radar topography Mission produces a wealth of data. Eos. Trans Am Geophys Union. 81(48):583–585. doi: 10.1029/EO081i048p00583
  • Feldman AD. 2000. Hydrologic modeling system HEC-HMS: technical reference manual. Davis, CA: US Army Corps of Engineers, Hydrologic Engineering Center.
  • Fotopoulos F, Makropoulos C, Mimikou M. 2010. Flood forecasting in transboundary catchments using the Open Modeling Interface. Environ Model Softwar. 25(12):1640–1649. doi: 10.1016/j.envsoft.2010.06.013
  • Gumindoga W, Rientjes T, Shekede M, Rwasoka D, Nhapi I, Haile A. 2014. Hydrological impacts of urbanization of two catchments in Harare, Zimbabwe. Remote Sens. 6(12):12544–12574. doi: 10.3390/rs61212544
  • Habib E, Haile A, Sazib N, Zhang Y, Rientjes T. 2014. Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile. Remote Sens. 6(7):6688–6708. doi: 10.3390/rs6076688
  • Hunukumbura P, Weerakoon S, Herath S. 2008. Runoff modeling in the upper Kotmale Basin. Traversing No Man’s Land, Interdisciplinary Essays in Honor of Professor Madduma Bandara University of Peradeniya, Sri Lanka.169-184.
  • Kibena J, Nhapi I, Gumindoga W. 2014. Assessing the relationship between water quality parameters and changes in landuse patterns in the Upper Manyame river, Zimbabwe. Phys Chem Earth Parts A/B/C. 67:153–163. doi: 10.1016/j.pce.2013.09.017
  • Laurent C, Le Treut H, Li Z, Fairhead L, Dufresne J. 1998. The influence of resolution in simulating inter-annual and inter-decadal variability in a coupled ocean-atmosphere WCMa bith emphasis over the North Atlantich.
  • Li D, Christakos G, Ding X, Wu J. 2018. Adequacy of TRMM satellite rainfall data in driving the SWAT modeling of Tiaoxi catchment (Taihu lake basin, China). J Hydrol. 556:1139–1152. doi: 10.1016/j.jhydrol.2017.01.006
  • Li X-H, Zhang Q, Xu C-Y. 2012. Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment, Poyang lake basin. J Hydrol. 426:28–38. doi: 10.1016/j.jhydrol.2012.01.013
  • Liu Junzhi, Duan Zheng, Jiang Jingchao, Zhu A-Xing. 2015. Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China. Advances in Meteorology. 2015:1–13. https://doi.org/10.1155/2015/151239.
  • Mantas VM, Liu Z, Caro C, Pereira A. 2015. Validation of TRMM multi-satellite precipitation analysis (TMPA) products in the Peruvian Andes. Atmos Res. 163:132–145. doi: 10.1016/j.atmosres.2014.11.012
  • Masih I, Maskey S, Uhlenbrook S, Smakhtin V. 2011. Assessing the Impact of Areal precipitation input on streamflow simulations using the SWAT model 1. JAWRA J Am Water Resour Assoc. 47(1):179–195. doi: 10.1111/j.1752-1688.2010.00502.x
  • Mirzaei M, Huang YF, El-Shafie A, Chimeh T, Lee J, Vaizadeh N, Adamowski J. 2015. Uncertainty analysis for extreme flood events in a semi-arid region. Nat Hazards. 78(3):1947–1960. doi: 10.1007/s11069-015-1812-9
  • Mishra S, Jain M, Singh V. 2004. Evaluation of the SCS-CN-based model incorporating antecedent moisture. Water Resour Manag. 18(6):567–589. doi: 10.1007/s11269-004-8765-1
  • Mostafazadeh R, Sheikh V. 2012. Rain-gauge density assessment in Golestan province using spatial correlation technique.
  • Muzik I, Chang C. 1993. A microcomputer-based Geographic information system for hydrologic simulation. Comput Civ Infrastruct Eng. 8(5):355–365. doi: 10.1111/j.1467-8667.1993.tb00221.x
  • Nash J.E., Sutcliffe J.V. 1970. River flow forecasting through conceptual models part I — A discussion of principles. Journal of Hydrology. 10(3):282–290. https://doi.org/10.1016/0022-1694. doi: 10.1016/0022-1694(70)90255-6
  • Nayak P, Venkatesh B, Krishna B, Jain SK. 2013. Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach. J Hydrol. 493:57–67. doi: 10.1016/j.jhydrol.2013.04.016
  • Pappenberger F, Cloke HL, Parker DJ, Wetterhall F, Richardson DS, Thielen J. 2015. The monetary benefit of early flood warnings in Europe. Environ Sci Policy. 51:278–291. doi: 10.1016/j.envsci.2015.04.016
  • Pradhananga NS, Kayastha RB, Bhattarai BC, Adhikari TR, Pradhan SC, Devkota LP, Shrestha AB, Mool PK. 2014. Estimation of discharge from Langtang river basin, Rasuwa, Nepal, using a glacio-hydrological model. Ann Glaciol. 55(66):223–230. doi: 10.3189/2014AoG66A123
  • Rouhani H, Jafarzadeh MS. 2018. Assessing the climate change impact on hydrological response in the Gorganrood river basin. Iran. J Water Clim Change. 9(3):421–433. doi: 10.2166/wcc.2017.207
  • Sabol GV. 1988. Clark unit hydrograph and R-parameter estimation. J Hydraul Eng. 114(1):103–111. doi: 10.1061/(ASCE)0733-9429(1988)114:1(103)
  • Scharffenberg WA, Fleming MJ. 2006. Hydrologic modeling system HEC-HMS: user’s manual. Davis, CA: US Army Corps of Engineers, Hydrologic Engineering Center.
  • Slik JF, Paoli G, McGuire K, Amaral I, Barroso J, Bastian M, Blanc L, Bongers F, Boundja P, Clark C. 2013. Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics. Glob Ecol Biogeogr. 22(12):1261–1271. doi: 10.1111/geb.12092
  • Snyder FF. 1938. Synthetic unit-graphs. Eos Trans Am Geophys Union. 19(1):447–454. doi: 10.1029/TR019i001p00447
  • Stisen S, Jensen KH, Sandholt I, Grimes DI. 2008. A remote sensing driven distributed hydrological model of the Senegal river basin. J Hydrol. 354(1-4):131–148. doi: 10.1016/j.jhydrol.2008.03.006
  • Teo C-K, Grimes DI. 2007. Stochastic modelling of rainfall from satellite data. J Hydrol. 346(1-2):33–50. doi: 10.1016/j.jhydrol.2007.08.014
  • Tung Y-K. 2018. Risk-based analysis of a detention basin for urban runoff control. J Appl Water Eng Res. 6(3):200–209. doi: 10.1080/23249676.2017.1287019
  • Van den Putte An, Govers Gerard, Leys Annemie, Langhans Christoph, Clymans Wim, Diels Jan. 2013. Estimating the parameters of the Green–Ampt infiltration equation from rainfall simulation data: Why simpler is better. Journal of Hydrology. 476:332–344. https://doi.org/10.1016/j.jhydrol.2012.10.051.
  • Yilma H, Moges SA. 2007. Application of semi-distributed conceptual hydrological model for flow forecasting on upland catchments of Blue Nile River Basin, a case study of Gilgel Abbay catchment. Catchment and Lake Research. 200.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.