摘要
针对泄洪雨雾输运过程,建立了三维数学模型。该模型以空间浓度梯度为求解变量,并采用隐式迭代方法,保证了浓度计算的精度与稳定性;通过雨雾浓度与降雨强度之间的转换关系,使其能与雾化神经网络模型进行边界耦合,对外围雨雾的输运扩散进行预报。运用该模型对二滩水电站工程泄洪洞下游雾化分布进行计算,所得结果与实测结果较吻合。
A mathematical model was developed to calculate the rain-fog transportation during flood discharge.In the model,the spatial concentration gradient was regarded as the variable to be solved.By use of the implicit iteration method,the precision and stability to solve the components of the concentration gradient were ensured.The conversion formulae between the rain-fog concentration and rainfall intensity were employed so as to make the model execute boundary coupling with the neural network model for rain-fog and to predict rain-fog transportation and diffusion.The proposed model was applied to the calculation of distribution of rain-fog in the downstream of the flood discharge tunnel of Ertan Hydropower Station.The results agree with the prototype observation data.
出处
《水利水电科技进展》
CSCD
北大核心
2011年第4期45-48,94,共5页
Advances in Science and Technology of Water Resources
基金
国家自然科学基金(50879094)
关键词
泄洪
雨雾输运
数学模型
降雨强度
原型观测
二滩水电站泄洪洞
flood discharge
rain-fog transportation
mathematical model
rainfall intensity
prototype observation
flood discharge tunnel of Ertan Hydropower Station
