Ouyang Ying, Wan Yongshan, Yang Jia, Feng Gary, Gao Fei
USDA Forest Service, Center for Bottomland Hardwoods Research, 775 Stone Blvd., Thompson Hall, Room 309, Mississippi State, MS 39762.
Center for Environmental Measurement and Modeling, US EPA, 1 Sabine Island Drive, Gulf Breeze, FL 32561.
Int J River Basin Manag. 2022 Jul 13;21(4):711-722. doi: 10.1080/15715124.2022.2079659.
Climate change could add a variety of uncertainties to hydrological processes and water resources. Very limited efforts have been devoted to applying the US-EPA (Environmental Protection Agency)'s Hydrologic and Water Quality System (HAWQS) model for predicting climate change impacts on hydrological processes at basin scale. Here we applied the model to project the next 50 years' (from 2021 to 2070) hydrological processes at the Yazoo River basin in Mississippi, USA. Simulations showed that over the next 50 years, there are no significant trends in monthly precipitation, ET, runoff, and discharge; only 2% of the annual precipitation percolated into the deep aquifer; and dry seasons become dryer and wet seasons become wetter. These findings provide very useful information to stakeholders for water resource management. Our study further suggests that the HAWQS model is a user friendly and time-saving tool for basin scale hydrological modeling.
气候变化可能给水文过程和水资源增添各种不确定性。在应用美国环境保护局（US-EPA）的水文与水质系统（HAWQS）模型来预测气候变化对流域尺度水文过程的影响方面，所做的努力非常有限。在此，我们应用该模型来预测美国密西西比州亚祖河流域未来50年（从2021年到2070年）的水文过程。模拟结果表明，在未来50年里，月降水量、蒸散量、径流量和排放量没有显著趋势；只有2%的年降水量渗入深层含水层；旱季变得更旱，雨季变得更湿。这些发现为利益相关者进行水资源管理提供了非常有用的信息。我们的研究进一步表明，HAWQS模型是一种用于流域尺度水文建模的用户友好且节省时间的工具。
