Automatic Calibration Tool for Hydrologic Simulation Program-FORTRAN Using a Shuffled Complex Evolution Algorithm

被引:46
|
作者
Seong, Chounghyun [1 ]
Her, Younggu [2 ]
Benham, Brian L. [1 ]
机构
[1] Virginia Tech, Dept Biol Syst Engn, Blacksburg, VA 24061 USA
[2] Texas A&M Univ, Blackland Res & Extens Ctr, Temple, TX 76502 USA
关键词
RAINFALL-RUNOFF MODELS; GLOBAL OPTIMIZATION; HSPF;
D O I
10.3390/w7020503
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Hydrologic Simulation Program-Fortran (HSPF) model calibration is typically done manually due to the lack of an automated calibration tool as well as the difficulty of balancing objective functions to be considered. This paper discusses the development and demonstration of an automated calibration tool for HSPF (HSPF-SCE). HSPF-SCE was developed using the open source software "R". The tool employs the Shuffled Complex Evolution optimization algorithm (SCE-UA) to produce a pool of qualified calibration parameter sets from which the modeler chooses a single set of calibrated parameters. Six calibration criteria specified in the Expert System for the Calibration of HSPF (HSPEXP) decision support tool were combined to develop a single, composite objective function for HSPF-SCE. The HSPF-SCE tool was demonstrated, and automated and manually calibrated model performance were compared using three Virginia watersheds, where HSPF models had been previously prepared for bacteria total daily maximum load (TMDL) development. The example applications demonstrate that HSPF-SCE can be an effective tool for calibrating HSPF.
引用
收藏
页码:503 / 527
页数:25
相关论文
共 30 条
  • [1] Automatic calibration tool for snowmelt runoff simulation using shuffled complex evolution algorithm
    Kumar, Akhilesh
    Bandyopadhyay, Arnab
    Bhadra, Aditi
    SUSTAINABLE WATER RESOURCES MANAGEMENT, 2023, 9 (06)
  • [2] Automatic calibration tool for snowmelt runoff simulation using shuffled complex evolution algorithm
    Akhilesh Kumar
    Arnab Bandyopadhyay
    Aditi Bhadra
    Sustainable Water Resources Management, 2023, 9
  • [3] Modeling Escherichia Coli and Its Sources in an Urban Bayou with Hydrologic Simulation Program-FORTRAN
    Petersen, Christina M.
    Rifai, Hanadi S.
    Villarreal, Gian C.
    Stein, Ronald
    JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 2011, 137 (06): : 487 - 503
  • [4] Constrained shuffled complex evolution algorithm and its application in the automatic calibration of Xinanjiang model
    Jiang, Chenkai
    Zhang, Silong
    Xie, Yundong
    FRONTIERS IN EARTH SCIENCE, 2023, 10
  • [5] Calibration of the Hydrological Simulation Program Fortran (HSPF) model using automatic calibration and geographical information systems
    Al-Abed, NA
    Whiteley, HR
    HYDROLOGICAL PROCESSES, 2002, 16 (16) : 3169 - 3188
  • [6] A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters
    Vrugt, JA
    Gupta, HV
    Bouten, W
    Sorooshian, S
    WATER RESOURCES RESEARCH, 2003, 39 (08)
  • [7] Simulation of runoff and nutrient export from a typical small watershed in China using the Hydrological Simulation Program-Fortran
    Li, Zhaofu
    Liu, Hongyu
    Luo, Chuan
    Li, Yan
    Li, Hengpeng
    Pan, Jianjun
    Jiang, Xiaosan
    Zhou, Quansuo
    Xiong, Zhengqin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2015, 22 (10) : 7954 - 7966
  • [8] Hydrological modeling of Zarqa River Basin - Jordan using the Hydrological Simulation Program-FORTRAN (HSPF) model
    Al-Abed, Nassim
    Al-Sharif, Munjed
    WATER RESOURCES MANAGEMENT, 2008, 22 (09) : 1203 - 1220
  • [9] Comprehensive Performance Evaluation for Hydrological and Nutrients Simulation Using the Hydrological Simulation Program-Fortran in a Mesoscale Monsoon Watershed, China
    Li, Zhaofu
    Luo, Chuan
    Jiang, Kaixia
    Wan, Rongrong
    Li, Hengpeng
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2017, 14 (12)
  • [10] Sphere drag revisited using Shuffled Complex Evolution algorithm
    Barati, R.
    Neyshabouri, S. A. A. Salehi
    Ahmadi, G.
    RIVER FLOW 2014, 2014, : 345 - 353