Lincoln University, Department of Agriculture and Environmental Sciences, 308 Foster Hall, 904 Chestnut Street, Jefferson City, MO, 65101, USA.
Institute of Water Security and Science, West Virginia University, 4121 Agricultural Sciences Building, Morgantown, 26506, WV, USA; Davis College, Schools of Agriculture and Food, And Natural Resources, West Virginia University, 4121 Agricultural Sciences Building, Morgantown, 26506, WV, USA.
J Environ Manage. 2021 May 1;285:112125. doi: 10.1016/j.jenvman.2021.112125. Epub 2021 Feb 15.
There is an immediate need to use available modeling tools to quantify environmental flows targets where changing climate and human activity has altered hydroecologically important streamflow regimes. A model performance assessment was undertaken using observed data collected from five nested gauging sites in a mixed land use watershed of the central US. An integrated modeling approach was used to couple The Soil and Water Assessment Tool (SWAT version 2012), and The Hydrologic Engineering Center's River Analysis System (HEC-RAS version 5.0.7). SWAT was used to generate effective rainfall needed to run HEC-RAS rain-on-grid two-dimensional hydrodynamic simulations. Model calibration results showed the potential usefulness of coupling SWAT and HEC-RAS using an integrated modeling approach. For example, PBIAS of 8.3%, NSE value of 0.84, and coefficient of determination (R) value of 0.80 at a highly urbanized monitoring site used for model calibration. Split-site validation results showed PBIAS values that ranged from 10.4 to 33.8%, NSE values that ranged from 0.33 to 0.92, and R values that ranged from 0.86 to 0.97. Results showed that 2D rain-on-grid HEC-RAS simulations can produce realistic simulations of stage hydrograph response when: (1) areal effective precipitation is used for 2D HEC-RAS rain-on-grid forcing's, (2) HEC-RAS is calibrated to observed data during the event of interest, (3) there are not substantial sources of backwatering from outside the models geometric data, and (4) during saturated antecedent soil moisture conditions surface DEM's adequately describe overland flow paths. This model performance assessment is among the first, if not the first, to show calibration and validation results associated with 2D HEC-RAS rain-on-grid simulations at a watershed scale. Results highlight the need for time-varying roughness coefficients to account for soil moisture conditions, and point to the efficacy of using a SWAT/HEC-RAS integrated modeling approach to generate event-based environmental flows information.
目前迫切需要利用现有模型工具来量化环境流量目标,因为气候变化和人类活动已经改变了对水文生态具有重要意义的水流模式。我们在美国中部一个混合土地利用流域的五个嵌套测量站点使用观测数据进行了模型性能评估。采用综合建模方法将土壤和水评估工具 (SWAT 版本 2012) 和水文工程中心的河流分析系统 (HEC-RAS 版本 5.0.7) 耦合起来。SWAT 用于生成运行 HEC-RAS 降雨网格二维动力模拟所需的有效降雨。模型校准结果表明,使用集成建模方法将 SWAT 和 HEC-RAS 耦合具有潜在的用途。例如,在用于模型校准的高度城市化监测站点,PBIAS 为 8.3%,NSE 值为 0.84,决定系数 (R) 值为 0.80。分站点验证结果显示,PBIAS 值范围为 10.4%至 33.8%,NSE 值范围为 0.33 至 0.92,R 值范围为 0.86 至 0.97。结果表明,当:(1) 二维 HEC-RAS 降雨网格的面有效降水用于降雨输入,(2) 在感兴趣事件期间对 HEC-RAS 进行校准,(3) 模型几何数据外部没有大量的回水来源,以及 (4) 在饱和的前期土壤湿度条件下,地表数字高程模型充分描述了地表径流路径时,二维 HEC-RAS 降雨网格模拟可以产生逼真的水位响应模拟。如果不是第一个,那么这也是第一个在流域尺度上展示与二维 HEC-RAS 降雨网格模拟相关的校准和验证结果的模型性能评估。结果强调需要时变糙率系数来考虑土壤湿度条件,并指出使用 SWAT/HEC-RAS 集成建模方法生成基于事件的环境流量信息的有效性。