Next Article in Journal
Evaluating Various Low-Impact Development Scenarios for Optimal Design Criteria Development
Previous Article in Journal
The Impact of Integrated Aquifer Storage and Recovery and Brackish Water Reverse Osmosis (ASRRO) on a Coastal Groundwater System
Open AccessArticle

Comparative Analysis of HRU and Grid-Based SWAT Models

1
Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA
2
Stone Environmental, Montpelier, VT 05602, USA
3
Department of Agricultural and Biological Engineering, Pennsylvania State University, University Park, PA 16802, USA
4
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN 47907, USA
5
Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Karl-Erich Lindenschmidt
Water 2017, 9(4), 272; https://doi.org/10.3390/w9040272
Received: 6 February 2017 / Revised: 23 March 2017 / Accepted: 6 April 2017 / Published: 12 April 2017
A grid-based version of the Soil and Water Assessment Tool (SWAT) model, SWATgrid, was developed to perform simulations on a regularized grid with a modified routing algorithm to allow interaction between grid cells. However, SWATgrid remains largely untested with little understanding of the impact of user-defined grid cell size. Moreover, increases in computation time effectively preclude direct calibration of SWATgrid. To gain insight into defining appropriate strategies for future development and application of SWATgrid, this research considers the simulated differences between commonly-employed hydrologic response unit (HRU)-based and grid-based SWAT models and the implications of resolution on their simulation and calibrated parameter values for a Midwestern, agricultural watershed. Results indicate that: (1) the gridded approach underpredicted simulated streamflow between 5% and 50% relative to the baseline model, depending upon the input spatial resolution and routing algorithm implemented; (2) gridded models generally underpredicted total phosphorous and sediment loads while overpredicting nitrate load; and (3) ranges of values of optimized model parameters remained similar up to 90 m. Results from this analysis should help in defining future applications of the SWATgrid model and the effects of differing spatial resolution of the model input data. View Full-Text
Keywords: SWATgrid; SWAT; hydrologic modeling; data resolution; landscape routing SWATgrid; SWAT; hydrologic modeling; data resolution; landscape routing
Show Figures

Figure 1

MDPI and ACS Style

Pignotti, G.; Rathjens, H.; Cibin, R.; Chaubey, I.; Crawford, M. Comparative Analysis of HRU and Grid-Based SWAT Models. Water 2017, 9, 272.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop