Post-processing R tool for SWAT efficiently studying climate change impacts on hydrology, water quality, and crop growth

Soil and Water Assessment Tool (SWAT) is widely used for watershed-scale assessment of climate change impacts, but post-processing model outputs a tedious job. An R tool was developed in this study batch processing SWAT output results. A case then performed the Double Mountain Fork Brazos watershed Texas Panhandle using an improved with to evaluate simulated future changes water balance components, total nitrogen (TN) load, crop growth over watershed. The results showed that average annual surface runoff increased by 8.9–17.9 mm 11.5–22.6 irrigated dryland cotton areas, respectively. Similarly, TN load areas approximately 0.4–0.9 kg ha−1 1.9–2.4 ha−1. yields 91.1%–122.1% 47.5%–84.0% under scenarios,