孙博闻,宗庆志,杨晰淯,张袁宁,高学平.基于GPU和数据同化的深水湖库水温与溶解氧中短期预报[J].中国水利水电科学研究院学报,2023,21(1):95-103
基于GPU和数据同化的深水湖库水温与溶解氧中短期预报
Medium and short term prediction of reservoir temperature and dissolved oxygen in deep lakes and reservoirs based on GPU and data assimilation
投稿时间:2022-06-01  
DOI:10.13244/j.cnki.jiwhr.20220256
中文关键词:  深水湖库  GPU并行计算  数据同化  中短期预报  溶解氧
英文关键词:deep lakes and reservoirs  GPU parallel computing  data assimilation  medium and short term forecast  dissolved oxygen
基金项目:国家自然科学基金(42006168);天津市自然科学基金(21JCQNJC00440);天津市研究生科研创新项目(2021YJSS038);天津市重点研发计划项目(20YFZCSN01040);中国水利水电科学研究院流域水循环模拟与调控国家重点实验室开放基金项目(IWHR-SKL-KF202205)
作者单位
孙博闻 天津大学 水利工程仿真与安全国家重点实验室, 天津 300350 
宗庆志 天津大学 水利工程仿真与安全国家重点实验室, 天津 300350 
杨晰淯 天津大学 水利工程仿真与安全国家重点实验室, 天津 300350 
张袁宁 天津大学 水利工程仿真与安全国家重点实验室, 天津 300350 
高学平 天津大学 水利工程仿真与安全国家重点实验室, 天津 300350 
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中文摘要:
      深水水库通常存在季节性温度分层,由温度分层引起溶解氧等水质指标的分层还会诱发库区水环境水生态问题。当前在中短期时间尺度上对水库水温和溶解氧进行预报的研究相对较少,提高数学模型的模拟效率与精度对提升中短期预报效果至关重要。本文采用集合卡尔曼滤波算法作为同化方法,基于CE-QUAL-W2模型建立水库水动力水质数学模型,基于OpenACC的GPU并行方法提升模型计算效率,构建大黑汀水库水温与溶解氧的数据同化系统,在中短期时间尺度上开展水库水温与溶解氧高精度、高效率预报。预报结果符合水库水温与溶解氧的中短期变化规律,能够为大黑汀水库的供水与生态安全提供技术支撑。
英文摘要:
      The seasonal thermal stratification usually exists in deep lakes and reservoirs,and the stratification of water quality variables such as dissolved oxygen caused by temperature stratification will also induce water environment and ecological problems in the reservoir.At present,few research focuses on reservoir water temperature and dissolved oxygen prediction in medium and short term time scale.It is very important toenhance the simulation efficiency and accuracy of mathematical model in order to improve the medium and short term forecast effect.Taking Luanhe-Tianjin Water Diversion Project - Daheiting reservoir as the research object,we built water temperature and dissolved oxygen data assimilation system with Ensemble Kalman filter assimilation algorithm.Based on CE-QUAL-W2,hydrodynamic and water quality mathematical model was established,and the calculation efficiency was improved through the GPU parallel method based on OpenACC model.The precise and efficient prediction of the dynamic changes of water temperature and dissolved oxygen has been realized,which is consistent with the medium and short term variation of water temperature and dissolved oxygen and can provide data support for water supply and ecological security of the reservoir.
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