Category: Watershed

394248 - Effects of Soil Data Resolution on the Simulated Stream Flow and Water Quality: Application of Watershed-based SWAT Model

Wednesday, Jun 6
8:30 AM – 5:30 PM

The hydrologic response of a watershed mostly depends on factors such as land use, soil type, and climatic inputs. Watershed modeling requires information on several soil properties, such as, texture, taxonomy, soil moisture, number of layers, and hydraulic conductivity. Several models are available that allow users to simulate the streamflow for a particular watershed using land use, topography, soil properties, and weather data. Better understanding of the future stream flow and water quality is essential for the long-term planning and management of water resources. The prediction of future flows and other hydrological parameters can be performed using different available modeling tools. Over the years, modeling of a watershed has significantly developed with the introduction of different sets of soil data such as Soil Survey Geographic (SSURGO) and State Soil Geographic (STATSGO). Both SSURGO and STATSGO data are compatible with GIS-enabled interfaces and can be used in both distributed and lumped hydrologic models. Soil and Water Assessment Tool (SWAT) is one such tool that allow the use of soil properties data to estimate the runoff process of a watershed. The predictability of hydrological models vary significantly with the variation in input data resolution. The primary objective of this study was to compare the SWAT-simulated outputs: stream flow; and water quality parameters, for SSURGO and STASTGO data. The study was performed in the watershed of Lower Cumberland-Sycamore in Tennessee. The simulation results has demonstrated that the effectiveness of the model prediction depends mostly on the type and quality of input soil data, and suggested that the higher resolution data yields better model results when compared with observed data.

Co-Authors: Ranjeet Thakali, 1230 Lincoln Drive, Carbondale, IL, 62901 – Southern Illinois University Carbondale; Gilles Kandissounon, 1230 Lincoln Drive, Carbondale, IL, 62901-6603 – Southern Illinois University Carbondale; Ajay Kalra, 1230 Lincoln Drive, Carbondale, IL, 62901-6603 – Southern Illinois University Carbondale; Sajjad Ahmed, 4505 S. Maryland Parkway, Las Vegas, NV 89154-4015 – University of Nevada

Ranjit Bhandari

Graduate Student
Department of Civil and Environmental Engineering, Southern Illinois University Carbondale
Carbondale, Illinois

My name is Ranjit Bhandari. I am a graduate research assistant in Department of Civil and Environmental Engineering at Southern Illinois University Carbondale. I completed my undergraduate study (Bachelor of Engineering in Civil Engineering) from Kathmandu University, Dhulikhel, Kavrepalanchowk, Nepal. I am interested in hydrology, hydraulics and water resources management works.