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Comprehensive study on parameter sensitivity for flow and nutrient modeling in the Hydrological Simulation Program Fortran model

Environmental Science and Pollution Research volume 24, pages 20982–20994 (2017)Cite this article

Abstract

Numerous parameters are used to construct the HSPF (Hydrological Simulation Program Fortran) model, which results in significant difficulty in calibrating the model. Parameter sensitivity analysis is an efficient method to identify important model parameters. Through this method, a model’s calibration process can be simplified on the basis of understanding the model’s structure. This study investigated the sensitivity of the flow and nutrient parameters of HSPF using the DSA (differential sensitivity analysis) method in the Xitiaoxi watershed, China. The results showed that flow was mostly affected by parameters related to groundwater and evapotranspiration, including DEEPFR (fraction of groundwater inflow to deep recharge), LZETP (lower-zone evapotranspiration parameter), and AGWRC (base groundwater recession), and most of the sensitive parameters had negative and nonlinear effects on flow. Additionally, nutrient components were commonly affected by parameters from land processes, including MON-SQOLIM (monthly values limiting storage of water quality in overland flow), MON-ACCUM (monthly values of accumulation), MON-IFLW-CONC (monthly concentration of water quality in interflow), and MON-GRND-CONC (monthly concentration of water quality in active groundwater). Besides, parameters from river systems, KATM20 (unit oxidation rate of total ammonia at 20 °C) had a negative and almost linear effect on ammonia concentration and MALGR (maximal unit algal growth rate for phytoplankton) had a negative and nonlinear effect on ammonia and orthophosphate concentrations. After calibrating these sensitive parameters, our model performed well for simulating flow and nutrient outputs, with R 2 and ENS (Nash–Sutcliffe efficiency) both greater than 0.75 for flow and greater than 0.5 for nutrient components. This study is expected to serve as a valuable complement to the documentation of the HSPF model to help users identify key parameters and provide a reference for performing sensitivity analyses on other models.

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Acknowledgements

The authors gratefully acknowledge the financial support by the National Natural Sciences Foundation of China (41571171), the Fundamental Research Funds for the Central Universities (KYZ201522), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Affiliations

  1. College of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China

    Chuan Luo, Zhaofu Li, Min Wu, Kaixia Jiang & Xiaomin Chen

  2. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, No. 73, Beijing East Road, Nanjing, Jiangsu, 210008, China

    Hengpeng Li

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  1. Chuan Luo
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  2. Zhaofu Li
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  3. Min Wu
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  4. Kaixia Jiang
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  5. Xiaomin Chen
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  6. Hengpeng Li
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Correspondence to Zhaofu Li.

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Responsible editor: Marcus Schulz

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Luo, C., Li, Z., Wu, M. et al. Comprehensive study on parameter sensitivity for flow and nutrient modeling in the Hydrological Simulation Program Fortran model. Environ Sci Pollut Res 24, 20982–20994 (2017). https://doi.org/10.1007/s11356-017-9741-7

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  • DOI: https://doi.org/10.1007/s11356-017-9741-7

Keywords

  • HSPF model
  • Parameter sensitivity analysis
  • DSA
  • Hydrology
  • Nutrients