Environmental Modelling & Software ( IF 4.9 ) Pub Date : 2020-08-10 , DOI: 10.1016/j.envsoft.2020.104803 Laura Melo Vieira Soares , Maria do Carmo Calijuri , Talita Fernanda das Graças Silva , Evlyn Marcia Leão de Moraes Novo , Carolline Tressmann Cairo , Claudio Clemente Faria Barbosa
The scarcity of long time-series of water temperature for tropical reservoirs, usually available at a low frequency of measurements, represents a serious constraint for the understanding of their thermal behavior. Hydrodynamic models become a powerful tool for that understanding through a qualitative approach. In this study, the one-dimensional General Lake Model (GLM) was applied to hindcast multiannual temperature profiles of a cascade system of six reservoirs located in southeast Brazil over a period of eight years. The model parameters were calibrated and validated by field data for four reservoirs. To overcome the challenge of exploring hydrodynamics in two reservoirs with a lack of measured temperatures, a parameterization strategy was applied to accomplish a better simulation by the estimation of potential sensitive parameters through regression curves. It is expected that this approach can be extended to other tropical reservoirs whenever field data is not available for the calibration procedure.
中文翻译:
巴西级联监测不良水库水动力模型的参数化策略
通常以低频率进行测量的热带水库长期缺乏水温序列,这对理解其热行为构成了严重的制约。流体动力学模型通过定性的方法成为了解这一问题的有力工具。在这项研究中,将一维通用湖模型(GLM)应用于巴西东南部六个水库的级联系统在八年期间的后预报多年期温度剖面。通过对四个油藏的现场数据对模型参数进行了校准和验证。为了克服在缺乏测得温度的两个油藏中探索水动力的挑战,通过通过回归曲线估算潜在的敏感参数,应用了参数化策略来实现更好的仿真。预计只要现场数据不可用于校准程序,该方法就可以扩展到其他热带水库。