Skip to main content

Advertisement

Log in

Ensemble streamflow projections for a small watershed with HSPF model

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

A watershed modeling tool, Hydrological Simulation Program-FORTRAN (HSPF), was utilized to model the hydrological processes in the agricultural Sarısu watershed in western Turkey. The meteorological input data were statistically downscaled time series from General Circulation Model simulations. The input data were constructed as an ensemble of 400 individual time series of temperature, precipitation, dewpoint temperature, solar radiation, potential evapotranspiration, cloudiness, and wind velocity, as required by HSPF. The ensemble was divided into four subsets, each comprising of 100 time series, of different Special Report on Emissions Scenarios. Yearly and monthly total streamflow time series were obtained from the calibrated and validated HSPF model spanning a period of 116 years between the water years of 1984 and 2099. The projections in the watershed showed a median increase of 3 °C in yearly average temperatures between the beginning and end 30-year periods of the 116-year simulation periods based on 400 ensemble members while the corresponding change in total yearly precipitation was − 71 mm. These changes led to a decrease in yearly streamflows by 40% which reflected itself to varying degrees in monthly flows. Correlations were established between the principal drivers of the watershed hydrological cycle, namely temperature and precipitation, and streamflow. The results showed that the changes in the climatic conditions will greatly affect water-related issues in the watershed and emphasize the necessity of preparing carefully to adapt to a warmer and drier climate.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  • Abdulla F, Eshtawi T, Assaf H (2009) Assessment of the impact of potential climate change on the water balance of a semi-arid watershed. Water Resour Manag 23:2051–2068

    Article  Google Scholar 

  • Al-Abed N, Al-Sharif M (2008) Hydrological modeling of Zarqa River Basin - Jordan using the Hydrological Simulation Program-FORTRAN (HSPF) model. Water Resour Manag 22:1203–1220

    Article  Google Scholar 

  • Albek E (2003) Estimation of point and diffuse contaminant loads to streams by non-parametric regression analysis of monitoring data. Water Air Soil Pollut 147:229-243 doi:https://doi.org/10.1023/a:1024592815576

  • Albek M, Albek E (2003) Use of HSPF in estimating future influences of climate change on watersheds. WIT Trans Ecol Environ 60:55–65. https://doi.org/10.2495/RM030061

    Article  Google Scholar 

  • Albek M, Ogutveren UB, Albek E (2004) Hydrological modeling of Seydi Suyu watershed (Turkey) with HSPF. J Hydrol 285:260–271

    Article  Google Scholar 

  • Baloch MA, Ames DP, Tanik A (2015) Hydrologic impacts of climate and land-use change on Namnam Stream in Koycegiz Watershed, Turkey. Int J Environ Sci Te 12:1481–1494

    Article  Google Scholar 

  • Bicknell BR, Imhoff JC, Kittle JL Jr, Jobes TH, Donigian AS Jr (2001) Hydrological Simulation Program - Fortran (HSPF). User’s Manual for Release 12. In: U.S. EPA National Exposure Research Laboratory, Athens, GA, in cooperation with U.S. Geological Survey, Water Resources Division, Reston, VA

    Google Scholar 

  • Canadian Centre for Climate Modelling and Analysis (2012) University of Victoria. http://www.cccma.ec.gc.ca/data/cgcm3/cgcm3.shtml. Accessed 2008

  • Choi W, Deal BM (2008) Assessing hydrological impact of potential land use change through hydrological and land use change modeling for the Kishwaukee River basin (USA). J Environ Manage 88:1119–1130

    Article  Google Scholar 

  • Chung ES, Park K, Lee KS (2011) The relative impacts of climate change and urbanization on the hydrological response of a Korean urban watershed. Hydrol Process 25:544–560

    Article  Google Scholar 

  • Climate Impacts LINK Project (2012) NCAS British Atmospheric Data Centre. http://badc.nerc.ac.uk/view/badc.nerc.ac.uk__ATOM__dataent_linkdata. Accessed 2008

  • Crawford NH (1999) Hydrologic Journal - Snowmelt Calibration. Hydrocomp, Inc. www.hydrocomp.com. 2010

  • Donigian ASJ, Davis HHJ (1978) User’s Manual for Agricultural Runoff Management (ARM) Model. In., vol EPA- 600/3-78-080.

  • Duda PB, Hummel PR, Donigian ASJ, Imhoff JC (2012) BASINS/HSPF:Model Use, Calibration and Validation. Transactions of the ASABE 55:1523-1547 doi:10.13031/2013.42261

  • ECMWF ERA-40 data (2012) ECMWF Data Server. http://www.ecmwf.int/research/era/do/get/era-40. Accessed 2008

  • Esterby SR (1996) Review of methods for the detection and estimation of trends with emphasis on water quality applications. Hydrol Process 10:127–149

    Article  Google Scholar 

  • Goncu S, Albek E (2007) Modeling the effects of climate change on different land uses. Water Sci Technol 56:131-138 doi. https://doi.org/10.2166/Wst.2007.444

  • Goncu S, Albek E (2008) Modeling climate change impacts on suspended and dissolved water quality constituents in watersheds. Fresenius Environ Bull 17:1501–1510

    CAS  Google Scholar 

  • Goncu S, Albek E (2010) Modeling climate change effects on streams and reservoirs with HSPF. Water Resour Manag 24:707–726. https://doi.org/10.1007/s11269-009-9466-6

    Article  Google Scholar 

  • Göncü S, Albek E (2015) Statistical downscaling of meteorological time series and climatic projections in a watershed in Turkey. Theoretical Appl Climatol:1–21. https://doi.org/10.1007/s00704-015-1563-2

  • He MX, Hogue TS (2012) Integrating hydrologic modeling and land use projections for evaluation of hydrologic response and regional water supply impacts in semi-arid environments. Environ Earth Sci 65:1671–1685

    Article  Google Scholar 

  • He ZL, Wang Z, Suen CJ, Ma XY (2013) Hydrologic sensitivity of the Upper San Joaquin River Watershed in California to climate change scenarios. Hydrol Res 44:723–736

    Article  Google Scholar 

  • Helsel DR (1987) Advantages of nonparametric procedures for analysis of water-quality data. Hydrol Sci J 32:179-190 doi:https://doi.org/10.1080/02626668709491176

  • Helsel DR, Frans LM (2006) Regional Kendall test for trend. Environ Sci Technol 40:4066–4073. https://doi.org/10.1021/es051650b

    Article  CAS  Google Scholar 

  • Helsel DR, Hirsch RM (1993) Statistical methods in water resources. Elsevier Science

  • Hessami M, Gachon P, Ouarda TBMJ, St-Hilaire A (2008) Automated regression-based statistical downscaling tool. Environ Model Softw 23:813–834. https://doi.org/10.1016/j.envsoft.2007.10.004

    Article  Google Scholar 

  • 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 S et al (eds) Cambridge University Press. United Kingdom and New York, NY, USA, Cambridge, p 996

    Google Scholar 

  • Jun KS, Chung ES, Sung JY, Lee KS (2011) Development of spatial water resources vulnerability index considering climate change impacts. Sci Total Environ 409:5228–5242

    Article  CAS  Google Scholar 

  • Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project B. Am Meteorol Soc 77:437–471. https://doi.org/10.1175/1520-0477(1996)077<0437:Tnyrp>2.0.Co;2

    Article  Google Scholar 

  • Kim Y, Chung ES (2014) An index-based robust decision making framework for watershed management in a changing climate. Sci Total Environ 473:88–102

    Article  Google Scholar 

  • Kistler R et al (2001) The NCEP-NCAR 50-year reanalysis: monthly means CD-ROM and documentation. B Am Meteorol Soc 82:247–267. https://doi.org/10.1175/1520-0477(2001)082<0247:Tnnyrm>2.3.Co;2

    Article  Google Scholar 

  • Köksal ES, Güngör Y, Yildirim YE (2011) Spectral reflectance characteristics of sugar beet under different levels of irrigation water and relationships between growth parameters and spectral indexes. Irrig Drain 60:187–195. https://doi.org/10.1002/ird.558

    Article  Google Scholar 

  • Linsley RK (1992) Water Resources Engineering. McGraw-Hill

  • Linsley RK, Kohler MA, Paulhus JLH (1982) Hydrology for Engineers. McGraw-Hill, New York

    Google Scholar 

  • Lopez SR, Hogue TS, Stein ED (2013) A framework for evaluating regional hydrologic sensitivity to climate change using archetypal watershed modeling. Hydrol Earth Syst Sc 17:3077–3094

    Article  Google Scholar 

  • Lumb AM, McCammon RB, Kittle JL Jr (1994) Users manual for an expert system (HSPexp) for calibration of the Hydrologic Simulation Program--Fortran. In: vol 94-4168. U.S. Geological Survey Water-Resources Investigations Report, p 102

    Google Scholar 

  • Mitsova D (2014) Coupling Land Use Change Modeling with Climate Projections to Estimate Seasonal Variability in Runoff from an Urbanizing Catchment Near Cincinnati. Ohio Isprs Int Geo-Inf 3:1256–1277

    Article  Google Scholar 

  • Monitoring Stations Management System (2010) General Directorate of State Hydraulic Works. http://rasatlar.dsi.gov.tr/. Accessed 2010

  • Mukundan R et al (2013) Suspended sediment source areas and future climate impact on soil erosion and sediment yield in a New York City water supply watershed, USA. Geomorphology 183:110–119. https://doi.org/10.1016/j.geomorph.2012.06.021

    Article  Google Scholar 

  • Ng HYF, Marsalek J (1992) Sensitivity of streamflow simulation to changes in climatic inputs. Hydrol Res 23:257–272

    Article  Google Scholar 

  • NRC (2010) Advancing the Science of Climate Change. The National Academies Press

  • Ranatunga T, Tong STY, Sun Y, Yang YJ (2014) A total water management analysis of the Las Vegas Wash watershed. Nevada Phys Geogr 35:220–244

    Article  Google Scholar 

  • Rinaldi M (2001) Application of EPIC model for irrigation scheduling of sunflower in Southern Italy. Agric Water Manag 49:185–196

    Article  Google Scholar 

  • Rosenberg EA, Keys PW, Booth DB, Hartley D, Burkey J, Steinemann AC, Lettenmaier DP (2010) Precipitation extremes and the impacts of climate change on stormwater infrastructure in Washington State. Climatic Change 102:319–349

    Article  Google Scholar 

  • Taner MU, Carleton JN, Wellman M (2011) Integrated model projections of climate change impacts on a North American lake. Ecol Model 222:3380–3393

    Article  CAS  Google Scholar 

  • Te Chow V, Maidment DR, Mays LW (1988) Applied Hydrology. McGraw-Hill, New York

    Google Scholar 

  • TUMAS Meteorological Data Archive and Management System. (2010) Turkish State Meteorological Service. http://tumas.mgm.gov.tr/wps/portal/. Accessed 2010

  • USEPA (2000) BASINS technical note 6 estimating hydrology and hydraulic parameters for HSPF. In., vol EPA-823-R00-012. US EPA Office of Water, United States, p 34

    Google Scholar 

  • USEPA (2015) BASINS 4.1 (Better Assessment Science Integrating point & Non-point Sources) Modeling Framework. National Exposure Research Laboratory, RTP, North Carolina

  • Wetcher-Hendricks D (2014) Analyzing quantitative data: an introduction for social researchers (1). Wiley, Somerset, US

    Google Scholar 

  • Wilby RL, Dawson CW (2007) Statistical Downscaling Model SDSM User Manual, Version 4.2. In. Loughborough University,

  • Wilby RL, Dawson CW, Barrow EM (2002) SDSM - a decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:147–159

    Article  Google Scholar 

  • Yan CA, Zhang WC, Zhang ZJ (2014) Hydrological modeling of the Jiaoyi watershed (China) using HSPF model. Sci World J

  • Yang JS, Chung ES, Kim SU, Kim TW (2012) Prioritization of water management under climate change and urbanization using multi-criteria decision making methods. Hydrol Earth Syst Sc 16:801–814

    Article  Google Scholar 

Download references

Funding

This study has been funded by TÜBİTAK (The Scientific and Technological Research Council of Turkey) under project no. 108Y091

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Burcu Şimşek Uygun.

Additional information

Responsible editor: Marcus Schulz

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Albek, M., Albek, E.A., Göncü, S. et al. Ensemble streamflow projections for a small watershed with HSPF model. Environ Sci Pollut Res 26, 36023–36036 (2019). https://doi.org/10.1007/s11356-019-06749-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-019-06749-9

Keywords

Navigation