Skip to main content
Log in

Usability of the BLRP model for hydrological applications in arid and semi-arid regions with limited precipitation data

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

In this study, Hydrological Simulation Program-FORTRAN (HSPF) is used to investigate rainfall-runoff process in Taleghan watershed, northern Iran. Despite the high accuracy of the model, the lack of rainfall data at short time scales (hour and less than hour) restricted implementation of the model especially for long time simulations. Some studies use simple division for daily rainfall disaggregation into the hourly values to provide data requirements of HSPF model. In simple division, each rainfall event is divided into 24 pulse stochastically and the peak flows may not properly being simulated due to the lower rainfall intensities. In this study, random parameter Bartlett–Lewis rectangular pulse (BLRP) model was implemented to disaggregate daily rainfall time series into the hourly values and the results compared with that of simple division. In BLRP model, parameters of the model calibrated against the 1, 24 and 48 h mean, variance, lag1 auto covariance and proportion dry of observed rainfall. The calibrated model was then implemented to disaggregate daily rainfall data into the hourly values. To compare two disaggregation approaches, daily stream flow simulation by HSPF model is initialized in 2 scenarios by applying the hourly rainfall data resulted from two disaggregation methods. The results indicated that while using the simple division method leads to the underestimation of peak flows, using the BLRP model improved peak flow simulations. This study indicated usability of the BLRP model for rainfall disaggregation in arid and semi-arid regions with limited fine scale precipitation data availability.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Abdellatif M, Atherton W, Alkhaddar R (2013) Application of the stochastic model for temporal rainfall disaggregation for hydrological studies in north western England. J Hydroinf 15(2):555–567. doi:10.2166/hydro.2012.090

    Article  Google Scholar 

  • Alavinia M (2009) Comparison between HSPF and SWAT models for sediment (Case study:Abro watershed). Tarbiat Modarres University, Tehran

    Google Scholar 

  • Albek M, Ogutveren UB, Albek E (2006) Hydrological modeling of Seydi Suyu watershed (Turkey) with HSPF. J hydrol 285:260–271

    Article  Google Scholar 

  • Amirhossien F, Alireza F, Kazem J, Mohammadbagher S (2015) A comparison of ANN and HSPF models for runoff simulation in Balkhichai River Watershed, Iran. AJCC 4:203–216. 10.4236/ajcc.2015.43016

    Article  Google Scholar 

  • Aqua Terra Consultants (1996) HSPF data structure: the operation status vector (OSV). Aqua Terra Consultants, Mountain View (Unpublished)

    Google Scholar 

  • Arnold JG, Srinivasin R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment: Part I. Model development. J Am Water Resour Assoc 34(1):73–89

    Article  Google Scholar 

  • Bennett SJ, Bishop TFA, Vervoort RW (2013) Using SWAP to quantify space and time related uncertainty in deep drainage model estimates: a case study from northern NSW, Australia. Agr Water Manag 130: 142–153.

    Article  Google Scholar 

  • Bicknell BR, Imhoff JC, Kittle JRJL, Donigian JRAS and Johanson RC (1997) Hydrological Simulation Program-FORTRAN, user’s manual for release 11: EPA/600/R-97/080. US Environmental Protection Agency, National Exposure Research Laboratory, Athens, GA

  • Bicknell BR, Imhoff JC, Kittle JRJL, Jobes TH, Donigian JRAS (2005) Hydrological Simulation Program-FORTRAN (HSPF). User’s manual for release 12.2. US EPA National Exposure Research Laboratory, Athens, GA, in cooperation with US Geological Survey, Water Resources Division, Reston, VA

  • Bo Z, Islam S, Eltahir EAB (1994) Aggregation–disaggregation properties of a stochastic rainfall model. Water Resour Res 30(12):3423–3435. doi:10.1029/94WR02026

    Article  Google Scholar 

  • Chen YD, McCutcheon SC, Carsel RF, Donigian ASJR, Cannell JP (1995) Validation of HSPF for the water balance simulation of the Upper Grande Ronde watershed, Oregon, USA. Man’s influence on freshwater ecosystems and water use (Proceedings of a Boulder Symposium), July, 1995. IAHS Publ. No. 230, 1995

  • Choi J, Sokolofsky SA, Olivera F (2008) Hourly disaggregation of hourly rainfall in Texas using measured hourly precipitation at other locations. J Hydrol Eng 13(6):476–487

    Article  Google Scholar 

  • Cowpertwait PSP, Lockie T, Davies MD (2006) A stochastic spatial-temporal disaggregation model for rainfall. J Hydrol NZ. 45:1–12

    Google Scholar 

  • Debele B, Srinivasan R, Yves Parlange J (2007) Accuracy evaluation of weather data generation and disaggregation methods at finer timescales. Adv Water Resour 30:1286–1300. doi:10.1016/j.advwatres.2006.11.009

    Article  Google Scholar 

  • Donigian AS, Crawford NH (1976) Modelling nonpoint pollution from the land surface. EPA/600/3-76-083, Environmental Research Laboratory, Athens

  • Donigian AS, Davis HH. 1978. User’s manual for agricultural runoff management (ARM) model. EPA-600/3-78-080, USEPA, Athens, GA, 112 p

  • Donigian JRAS, Huber WC (1991) Modeling of nonpoint source water quality in urban and non-urban areas. EPA-600/3-91-039, USEPA, Athens, GA, 78 p

  • Donigian JRAS, Bicknell BR, Imhoff JC (1995) Hydrological Simulation Program-FORTRAN (HSPF). In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications Highlands Ranch, pp 395–442

  • Dousti M, Shahedi K, Habibnejad Roshan M, Miryaghoubzadeh MR (2014) Using IHACRES semi-conceptual model to simulate daily flow (Case study: Tamar basin). JWSC 21(2):277–299

    Google Scholar 

  • Engida AN, Esteves M (2011) Characterization and disaggregation of daily rainfall in the Upper Blue Nile Basin in Ethiopia. J Hydrol 399:226–234. doi:10.1016/j.jhydrol.2011.01.001

    Article  Google Scholar 

  • FAO (1978) Report on the agro-ecological zones project. World Soil Resources Report n. 48FAO, Rome

  • FAUT (1993) General investigation of Taleghan basin: hydrometeology and climatology report. 2:20–25

  • Feldman AD (2000) Hydrologic Modeling System HEC–HMS, technical reference manual. US Army Corps of Engineers, Hydrologic Engineering Center, HEC, Davis, CA, USA

  • Fontaine TA, Jacomino VMF (1997) Sensitivity analysis of simulated contaminated sediment transport. J Am Water Resour As 33(2):313–326

    Article  Google Scholar 

  • Hamon RW (1961) Estimating potential evapotranspiration. Proc Am Soc Civil Eng J Hydraul Div 87:107–120

    Google Scholar 

  • Hingray B, Monbaron E, Jarrar I, Favre AC, Consuegra D, Musy A (2002) Stochastic generation and disaggregation of hourly rainfall series for continuous hydrological modelling and flood control reservoir design. Water Sci Technol 45:113–119

    Google Scholar 

  • Hoseini M (2011) Effect of land use changes on water balance and suspended sediment yield of Taleghan catchment, Iran. PhD Thesis, UPM, Serdang, Malaysia

  • Hydrocomp Inc (1977) Hydrocomp water quality operations manual. Hydrocomp, Inc, Palo Alto

    Google Scholar 

  • Im SJ, Brannan KM, Mostaghimi S, Kim SM (2007) Comparison of HSPF and SWAT models performance for runoff and sediment yield prediction. J Environ Sci Heal A 42(11):1561–1570

    Article  Google Scholar 

  • Iskra I, Droste R (2007) Application of non-linear automatic optimization techniques for calibration of HSPF. Water Environ Res 79(6):647–659

    Article  Google Scholar 

  • Jebari S (2009) Water erosion modelling using fractal rainfall disaggregation, a study in semiarid Tunisia. Lund Institute of Technology, Lund University, Sweden

    Google Scholar 

  • Johnson MS, Coon WF, Mehta VK, Steenhuis TS, Brooks ES, Boll J (2003) Application of two hydrologic models with different runoff mechanisms to a hillslope dominated watershed in the northeastern US: a comparison of HSPF and SMR. J Hydrol 284(1–4):57–76

    Article  Google Scholar 

  • Kossieris P, Makropoulos C, Onof C, Koutsoyiannis D (2016) A rainfall disaggregation scheme for sub-hourly time scales: coupling a Bartlett–Lewis based model with adjusting procedures. J Hydrol. doi:10.1016/j.jhydrol.2016.07.015

    Google Scholar 

  • Koutsoyiannis D (1994) A stochastic disaggregation method for design storm and flood synthesis. J Hydrol 156:193–225. doi:10.1016/0022-1694(94)90078-7

    Article  Google Scholar 

  • Koutsoyiannis D, Foufoula-Georgiou E (1993) A scaling model of a storm hyetograph. Water Resour Res 29:2345–2361

    Article  Google Scholar 

  • Koutsoyiannis D, Onof C (2001) Rainfall disaggregation using adjusting procedures on a Poisson cluster model. J Hydrol 246:109–122. doi:10.1016/S0022-1694(01)00363-8

    Article  Google Scholar 

  • Kozanis S, Christofides A, Mamassis N, Efstratiadis A, Koutsoyiannis D (2010) Hydrognomon—open source software for the analysis of hydrological data. Geophysical research abstracts, vol 12. European Geosciences Union, Vienna, p 12419. doi:10.13140/RG.2.2.21350.83527

  • Laroche A, Gallichaud J, Lagace R, Pesant A (1996) Simulating atrazine transport with HSPF in an agricultural watershed. J Environ Eng ASCE 122(7):622

    Article  Google Scholar 

  • Lian YQ, Chan I, Xie H, Demissie M (2010) Improving HSPF modeling accuracy from FTABLES: a case study for the Illinois River Basin. J Hydrol Eng ASCE 15(8):642–650

    Article  Google Scholar 

  • Mishra A, Kar S, Raghuwanshi NS (2009) Modeling nonpoint source pollutant losses from a small watershed using HSPF model. J Environ Eng ASCE 135(2):92–100

    Article  Google Scholar 

  • Nasiri Saleh F, Miyazaki S, Yoshimura K, Kanae S, Oki T (2006) Applicability of down scaled global data for Ardebil Area in Iran. Proceeding of 3rd APHW Conference, Bankok, Thailand, ST1-01-A07, pp 335–340

  • Nasr A, Bruen M, Jordan P, Moles R, Kiely G, Byrne P (2007) A comparison of SWAT, HSPF and SHETRAN/GOPC for modelling phosphorus export from three catchments in Ireland. Water Resour 41(5):1065–1073.

    Google Scholar 

  • Pui A, Sharma A, Mehrotra R, Sivakumar B, Jeremiah E (2012) A comparison of alternatives for daily to sub-daily rainfall disaggregation. J Hydrol 470–471:138–157. doi:10.1016/j.jhydrol.2012.08.041

    Article  Google Scholar 

  • Rango A, Martinec J (1995) Revisiting the degree-day method for snowmelt computations. Water Resour Bull 31(4):657–669

    Article  Google Scholar 

  • Razavizadeh S, Salajegheh A, Khalighi S, Jafari M (2013) Effects of land use changes on flood characteristics using the HEC–HMS model (Case study: Taleghan watershed). JRWM 66(3):373–386.

    Google Scholar 

  • Rodríguez-Iturbe I, de Power BF, Valdés JB (1987) Rectangular pulses point process models for rainfall: analysis of empirical data. J Geophys Res 92:9645–9656

    Article  Google Scholar 

  • Rostamian R, Jaleh A, Afyuni M, Mousavi F, Heidarpour M, Jalalian A, Abbaspour KC (2008) Application of SWAT model for estimating runoff and sediment in two mountaineous basins in central Iran. Hydrol Sci J 53(5):977–988

    Article  Google Scholar 

  • Ryu JH (2009) Application of HSPF to the distributed model intercomparison project: case study. J Hydrol Eng 14(8):847–857

    Article  Google Scholar 

  • Sadeghi SH, Ghasemieh H, Sadatinejad SJ (2015) Performance evaluation of IHACRES hydrological model in wet areas (Case study: Navrud Basin, Gillan). JWSS 19(73): 73–82.

    Article  Google Scholar 

  • Saleh A, Du B (2004) Evaluation of SWAT and HSPF within BASINS program for the upper North Bosque River watershed in Central Texas. Trans ASAE 47(4): 1039–1049.

    Article  Google Scholar 

  • Segond ML, Onof C, Wheater HS (2006) Spatial–temporal disaggregation of daily rainfall from a generalized linear model. J Hydrol 331:674–689. doi:10.1016/j.jhydrol.2006.06.019

    Article  Google Scholar 

  • Segond ML, Neokleous N, Makropoulos C, Onof C, Maksimovic C (2007) Simulation and spatio-temporal disaggregation of multi-site rainfall data for urban drainage applications. Hydrol Sci J 52:917–935. doi:10.1623/hysj.52.5.917

    Article  Google Scholar 

  • Singh J, Knapp HV, Arnold JG, Misganaw D (2005) Hydrological modeling of the Iroquois river watershed using HSPF and SWAT. J Am Water Resour As 41(2):343–360

    Article  Google Scholar 

  • Singh Vijay P (1997) Kinematic wave modeling in water resources. Wiley, New York

    Google Scholar 

  • Soltani S, Saboohi R, Yaghmaei L (2012) Rainfall and rainy days trend in Iran. Clim Change 110:187–213

    Article  Google Scholar 

  • Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106:7183–7192

    Article  Google Scholar 

  • Viessman W, Lewis GL, Knapp JW (1989) Introduction to hydrology, 3rd edn. Harper and Row, New York

    Google Scholar 

  • Zarei M, Ghanbarpour MR, Habibnezhad Roshan M, Shahedi K (2009) Streamflow simulation using IHACRES rainfall-runoff model (Case study: Kasilian Catchment). JWMSEI 3(8):11–20

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank Iran Ministry of Power for their kind help and technical support for providing the data for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Esmaeel Dodangeh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dodangeh, E., Shahedi, K., Solaimani, K. et al. Usability of the BLRP model for hydrological applications in arid and semi-arid regions with limited precipitation data. Model. Earth Syst. Environ. 3, 539–555 (2017). https://doi.org/10.1007/s40808-017-0312-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-017-0312-1

Keywords

Navigation