SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Effects of urbanization and climate change on stream health in the north central Texas, USA 
Authors:Jeong, J., N. Kannan and J.G. Arnold 
Journal:Journal of Environmental Quality 
Volume (Issue):43(1) 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:climate change and land use change 
Secondary Application Category:model and/or data interface 
Watershed Description:169 km^2 White Rock Creek in north central Texas, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments:This article is part of the JEQ SWAT special section. 
Abstract:Estimation of stream health involves the analysis of changes in aquatic species, riparian vegetation, micro-invertebrates and channel degradation due to hydrologic changes occurring from anthropogenic activities. In this study, we quantified stream health changes arising from urbanization and climate change using a combination of the widely accepted Indicators of Hydrologic Alteration (IHA) and Dundee Hydrologic Regime Assessment Method (DHRAM) on a rapidly urbanized watershed in Dallas-Fort worth metropolitan area in Texas, USA. Historical flow data were split into two parts, namely pre-alteration and post-alteration periods. The influence of climate change on stream health was analyzed by dividing the precipitation data into three groups of dry, average and wet conditions based on recorded annual precipitation. Hydrologic indicators were then evaluated for all three of the climate scenarios to estimate the stream health changes brought by climate change. The effect of urbanization on stream health was analyzed for a specific sub-watershed where urbanization occurred dramatically but no stream flow data was available using the widely used watershed scale Soil and Water Assessment Tool (SWAT) model. The results of this study identify negative impacts to stream health with increasing urbanization. In addition, the results indicate that dry weather has more impact on stream health than wet weather. The IHA-DHRAM approach and SWAT model prove to be useful tools to estimate stream health at watershed scale.