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Open AccessArticle

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

1
Blackland Research and Extension Center, Texas A&M University, 720 East Blackland Road, Temple, TX 76502, USA
2
Grassland, Soil & Water Research Laboratory, USDA-ARS, 808 East Blackland Road, Temple, TX 76502, USA
3
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
4
Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
5
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
6
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
7
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
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School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
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Department of Environmental Sciences and Technology, University of Maryland, College Park, MD 20742, USA
10
Biological & Agricultural Engineering, Kansas State University, 129 Seaton Hall, Manhattan, KS 66506, USA
11
USEPA/ORD/NERL, Research Triangle Park, NC 27111, USA
12
School of Engineering, the University of Newcastle, Callaghan, NSW 2308, Australia
13
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Water 2019, 11(8), 1681; https://doi.org/10.3390/w11081681
Received: 10 July 2019 / Revised: 1 August 2019 / Accepted: 3 August 2019 / Published: 14 August 2019
(This article belongs to the Section Water Resources Management and Governance)
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PDF [5088 KB, uploaded 14 August 2019]
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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 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. View Full-Text
Keywords: model calibration; SWAT+; IPEAT; optimization model calibration; SWAT+; IPEAT; optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Yen, H.; Park, S.; Arnold, J.G.; Srinivasan, R.; Chawanda, C.J.; Wang, R.; Feng, Q.; Wu, J.; Miao, C.; Bieger, K.; Daggupati, P.; Griensven, A.; Kalin, L.; Lee, S.; Sheshukov, A.Y.; White, M.J.; Yuan, Y.; Yeo, I.-Y.; Zhang, M.; Zhang, X. IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. Water 2019, 11, 1681.

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