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

土壤和水评估工具 (SWAT) 被广泛用于气候变化影响的流域尺度评估，但模型输出的后处理是一项繁琐的工作。本研究开发了一个 R 工具，用于批量处理 SWAT 输出结果。然后，在德克萨斯州狭长地带的 Double Mountain Fork Brazos 流域进行了案例研究，使用改进的 SWAT 模型和 R 工具来评估流域内水平衡成分、总氮 (TN) 负荷和作物生长的模拟未来变化. 结果表明，灌溉棉区和旱地棉区的未来年平均地表径流分别增加了 8.9-17.9 毫米和 11.5-22.6 毫米。同样，灌溉和旱地棉花地区的未来总氮负荷增加了约 0.4-0.9 kg ha ^-1和 1.9-2.4 kg ha^-1。在未来气候情景下，灌溉棉花和旱地棉花的产量分别增加了 91.1%–122.1% 和 47.5%–84.0%。