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Title: Enhancing SWAT simulation of forest ecosystems for water resource assessment: A case study in the St. Croix River basin

Journal Article · · Ecological Engineering

Forests often cover a significant portion of a watershed and play an important role in water, carbon, and nutrient cycling. The widely-used Soil and Water Assessment Tool (SWAT) has not been thoroughly tested for simulating forest ecosystems and associated impacts on watershed-scale water resource assessment. Using the St. Croix River basin as a testbed, we examined SWAT simulations of forest biomass, net primary productivity (NPP), evapotranspiration (ET), and water yield with default and improved model settings. Model simulations with the default parameterization significantly underestimated forest biomass, ET, and NPP relative to benchmark data. With adjusted forest growth and development parameters, including radiation use efficiency, temperature control on plant growth, and leaf to biomass fraction, as well as a new phosphorus supply module, the SWAT model’s performance with respect to the above variables was substantially improved. These improvements also enhanced SWAT estimates of water yield, streamflow, and sediment loads at the watershed scale. Results of this study show the important role of forest ecosystems in watershed scale water balance and the connections between terrestrial and aquatic processes via lateral water and sediment fluxes. We suggested that watershed models, such as SWAT, should be assessed for both terrestrial and aquatic processes in order to provide credible water quantity and quality simulations at the watershed scale. Calibrated forest parameters and the phosphorus input algorithms will be applicable to future SWAT simulations of watershed hydrology.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1490712
Report Number(s):
PNNL-SA-128496
Journal Information:
Ecological Engineering, Vol. 120, Issue C; ISSN 0925-8574
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

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