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Title: IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+

Abstract

For almost 30 years, the Soil and Water Assessment Tool (SWAT) has been successfully implemented to address issues around various scientific subjects in the world. On the other hand, it has been reaching to the limit of potential flexibility in further development by the current structure. The new generation SWAT, dubbed SWAT+, was released recently with entirely new coding features. SWAT+ is designed to have far more advanced functions and capacities to handle challenging watershed modeling tasks for hydrologic and water quality processes. However, it is still inevitable to conduct model calibration before the SWAT+ model is applied to engineering projects and research programs. The primary goal of this study is to develop an open-source, easy-to-operate automatic calibration tool for SWAT+, dubbed IPEAT+ (Integrated Parameter Estimation and Uncertainty Analysis Tool Plus). There are four major advantages: (i) Open-source code to general users; (ii) compiled and integrated directly with SWAT+ source code as a single executable; (iii) supported by the SWAT developer group; and, (iv) built with efficient optimization technique. The coupling work between IPEAT+ and SWAT+ is fairly simple, which can be conducted by users with minor efforts. IPEAT+ will be regularly updated with the latest SWAT+ revision. If usersmore » would like to integrate IPEAT+ with various versions of SWAT+, only few lines in the SWAT+ source code are required to be updated. IPEAT+ is the first automatic calibration tool integrated with SWAT+ source code. Users can take advantage of the tool to pursue more cutting-edge and forward-thinking scientific questions.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [1];  [3]; ORCiD logo [4];  [5];  [6];  [6];  [1];  [7];  [3];  [8];  [9]; ORCiD logo [10];  [1]; ORCiD logo [11]; ORCiD logo [12];  [3]; ORCiD logo [13]
  1. Texas A & M Univ., Temple, TX (United States). Blackland Research and Extension Center
  2. USDA-ARS, Temple, TX (United States). Grassland, Soil & Water Research Lab.
  3. Vrije Univ. Brussel, Brussels (Belgium). Dept. of Hydrology and Hydraulic Engineering
  4. Univ. of California, Davis, CA (United States). Dept. of Land, Air and Water Resources
  5. Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences
  6. Beijing Normal Univ., Beijing (China). State Key Lab. of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science
  7. Univ. of Guelph, Guelph, ON (Canada)
  8. Auburn Univ., Auburn, AL (United States). School of Forestry and Wildlife Sciences
  9. Univ. of Maryland, College Park, MD (United States). Dept. of Environmental Sciences and Technology
  10. Kansas State Univ., Manhattan, KS (United States). Biological & Agricultural Engineering
  11. USEPA/ORD/NERL, Research Triangle Park, NC (United States)
  12. The Univ. of Newcastle, Callaghan (Australia). School of Engineering
  13. Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research Inst.
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1577049
Report Number(s):
PNNL-SA-145096
Journal ID: ISSN 2073-4441; WATEGH
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Water (Basel)
Additional Journal Information:
Journal Name: Water (Basel); Journal Volume: 11; Journal Issue: 8; Journal ID: ISSN 2073-4441
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; model calibration; SWAT+; IPEAT; optimization

Citation Formats

Yen, Haw, Park, Seonggyu, Arnold, Jeffrey G., Srinivasan, Raghavan, Chawanda, Celray James, Wang, Ruoyu, Feng, Qingyu, Wu, Jingwen, Miao, Chiyuan, Bieger, Katrin, Daggupati, Prasad, Griensven, Ann van, Kalin, Latif, Lee, Sangchul, Sheshukov, Aleksey Y., White, Michael J., Yuan, Yongping, Yeo, In-Young, Zhang, Minghua, and Zhang, Xuesong. IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. United States: N. p., 2019. Web. doi:10.3390/w11081681.
Yen, Haw, Park, Seonggyu, Arnold, Jeffrey G., Srinivasan, Raghavan, Chawanda, Celray James, Wang, Ruoyu, Feng, Qingyu, Wu, Jingwen, Miao, Chiyuan, Bieger, Katrin, Daggupati, Prasad, Griensven, Ann van, Kalin, Latif, Lee, Sangchul, Sheshukov, Aleksey Y., White, Michael J., Yuan, Yongping, Yeo, In-Young, Zhang, Minghua, & Zhang, Xuesong. IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. United States. doi:10.3390/w11081681.
Yen, Haw, Park, Seonggyu, Arnold, Jeffrey G., Srinivasan, Raghavan, Chawanda, Celray James, Wang, Ruoyu, Feng, Qingyu, Wu, Jingwen, Miao, Chiyuan, Bieger, Katrin, Daggupati, Prasad, Griensven, Ann van, Kalin, Latif, Lee, Sangchul, Sheshukov, Aleksey Y., White, Michael J., Yuan, Yongping, Yeo, In-Young, Zhang, Minghua, and Zhang, Xuesong. Wed . "IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+". United States. doi:10.3390/w11081681. https://www.osti.gov/servlets/purl/1577049.
@article{osti_1577049,
title = {IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+},
author = {Yen, Haw and Park, Seonggyu and Arnold, Jeffrey G. and Srinivasan, Raghavan and Chawanda, Celray James and Wang, Ruoyu and Feng, Qingyu and Wu, Jingwen and Miao, Chiyuan and Bieger, Katrin and Daggupati, Prasad and Griensven, Ann van and Kalin, Latif and Lee, Sangchul and Sheshukov, Aleksey Y. and White, Michael J. and Yuan, Yongping and Yeo, In-Young and Zhang, Minghua and Zhang, Xuesong},
abstractNote = {For almost 30 years, the Soil and Water Assessment Tool (SWAT) has been successfully implemented to address issues around various scientific subjects in the world. On the other hand, it has been reaching to the limit of potential flexibility in further development by the current structure. The new generation SWAT, dubbed SWAT+, was released recently with entirely new coding features. SWAT+ is designed to have far more advanced functions and capacities to handle challenging watershed modeling tasks for hydrologic and water quality processes. However, it is still inevitable to conduct model calibration before the SWAT+ model is applied to engineering projects and research programs. The primary goal of this study is to develop an open-source, easy-to-operate automatic calibration tool for SWAT+, dubbed IPEAT+ (Integrated Parameter Estimation and Uncertainty Analysis Tool Plus). There are four major advantages: (i) Open-source code to general users; (ii) compiled and integrated directly with SWAT+ source code as a single executable; (iii) supported by the SWAT developer group; and, (iv) built with efficient optimization technique. The coupling work between IPEAT+ and SWAT+ is fairly simple, which can be conducted by users with minor efforts. IPEAT+ will be regularly updated with the latest SWAT+ revision. If users would like to integrate IPEAT+ with various versions of SWAT+, only few lines in the SWAT+ source code are required to be updated. IPEAT+ is the first automatic calibration tool integrated with SWAT+ source code. Users can take advantage of the tool to pursue more cutting-edge and forward-thinking scientific questions.},
doi = {10.3390/w11081681},
journal = {Water (Basel)},
number = 8,
volume = 11,
place = {United States},
year = {2019},
month = {8}
}

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