A Real-time Simulation Method of Water Quality Simulation Based on General Purpose Computation

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China Rural Water and Hydropower ›› 2021 ›› (2) : 24-29.

A Real-time Simulation Method of Water Quality Simulation Based on General Purpose Computation

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Abstract

Two-dimensional water quality simulation is computationally intensive. How to improve the performance of water quality simulation under the condition of ensuring accuracy is a key problem that must be solved in water quality simulation. To this end, the study of water quality simulation is carried out in terms of performance and accuracy. To improve the water quality simulation performance, only the grids which are within or beside the river are selected for water quality simulation in the basin and the water quality simulation is decomposed into three steps, including water velocity increment calculation, water flow migration calculation and pollutant diffusion simulation. The parallelization algorithm for each step is designed separately to implement general purpose computation. To improve the accuracy of water quality simulation, the concept of stable flow field is introduced to simulate the produce prophase water regime in the basin. By importing a certain amount of upstream flow sequences before the simulation period to the model, the steady flow field is created. Finally, taking the upper reaches of Mudanjiang River as the experimental basin, the pollutant diffusion process is simulated by the two-year sequence data of water flow and COD concentration. It is found that general purpose computation can complete water quality simulation in a few minutes, while traditional water quality simulation takes several hours or even longer. More importantly, the method in this paper is not only fast in operation, but also has the similar accuracy with the traditional water quality simulation. It is possible to simulate the pollutant diffusion process in the basin accurately in real time.

Key words

water quality simulation / general purpose computation / stable flow field

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. A Real-time Simulation Method of Water Quality Simulation Based on General Purpose Computation. China Rural Water and Hydropower. 2021, 0(2): 24-29

References

[1]陆莎莎, 时连强.水质模型研究发展综述[J].环境工程, 2016(增刊1):78-81.
[2]董相如.水质模型发展过程中的若干规律分析[J].南水北调与水利科技, 2016,14(1):53-55.
[3]CIBIN R, TRYBULA E, CHAUBEY I, et al. Watershed-scale impacts of bioenergy crops on hydrology and water quality using improved SWAT model[J]. Gcb Bioenergy, 2016,8(4):837-848.
[4] JACKSON-BLAKE L A, SAMPLE J E, WADE A J, et al.Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model,Simply P,and INCA-P[J].Water Resources Research, 2017,53(7):5 382-5 399.
[5]杨中华, 周武刚, 白凤朋,等.基于伴随同化法的一维河流水质模型参数反演[J].应用基础与工程科学学报, 2018,26(2):276-284.
[6]邢利英, 孙三祥, 张国珍.基于梯度正则化联合重构河流水质模型多项参数[J].水资源保护, 2017,33(4):55-61.
[7]LAI R X, WANG M, YANG M, et al.Method based on the Laplace equations to reconstruct the river terrain for two-dimensional hydrodynamic numerical modeling[J].Computers & Geosciences, 2018(111):26-38.
[8]WING O E J, BATES P D, SAMPSON C C, et al.Validation of a 30 m resolution flood hazard model of the conterminous United States[J].Water Resources Research, 2017,53(9):7 968-7 986.
[9]姜雪,卢文喜,张蕾, 等.基于WASP模型的东辽河水质模拟研究[J].中国农村水利水电,2011(12):26-30.
[10]曹德君,张展羽,冯根祥, 等.灌区排水沟系水质模拟分析[J].中国农村水利水电,2014(8):58-61.
[11]徐明德,钮键,潘韩智, 等.册田水库水质模拟与污染控制研究[J].中国农村水利水电,2011(4):57-61.
[12]OWENS J D, HOUSTON M, LUEBKE D, et al.GPU Computing[J].Proceedings of the IEEE, 2008,96(5):879-899.
[13]NICKOLLS J, DALLY W J.The GPU Computing Era[J].IEEE Micro, 2010,30(2):56-69.
[14]郭海燕,陈军,徐金霞, 等.基于通用计算的涪江中段径流模拟研究[J].冰川冻土,2019,41(1):158-164.
[15]DAS R.GPUs in subsurface simulation: an investigation[J].Engineering with Computers, 2017,33(1):1-16.
[16]李峰, 胡铁松, 黄华金.SWAT模型的原理、结构及其应用研究[J].中国农村水利水电, 2008(3):24-28.
[17]王忠忠, 罗定贵, 周文斌, 等.基于SWAT-X模型的抚河流域径流量模拟研究[J].地理与地理信息科学, 2009,25(4):95-99.
[18]LAI Z Q, LI S, DENG Y, et al.Development of a polder module in the SWAT model: SWATpld for simulating polder areas in south-eastern China[J].Hydrological Processes, 2018,32(4):1 050-1 062.
[19]FUKUNAGA D C, CECLIO R A, ZANETTI S S, et al.Application of the SWAT hydrologic model to a tropical watershed at Brazil[J].Catena, 2015(125):206-213.
[20]马亚丽,白祖晖,敖天其.基于SWAT模型的龙溪河泸县境内面源污染特征分析[J].中国农村水利水电,2019(7):103-109.
[21]龚然, 何跃, 徐力刚, 等.EFDC(Environmental Fluid Dynamics Code)模型在湖库水环境模拟中的应用进展[J].海洋湖沼通报, 2016(6):14-21.
[22]GONG R, XU L G, WANG D G, et al.Water quality modeling for a typical urban lake based on the EFDC model[J].Environmental Modeling & Assessment, 2016,21(5):643-655.
[23]CHEN L B, YANG Z F, LIU H F.Assessing the eutrophication risk of the Danjiangkou Reservoir based on the EFDC model[J].Ecological Engineering, 2016(96):117-127.
[24]程伟平, 张洪.基于EFDC模型的滇池外海流场及温度变化研究[J].科技通报, 2018(6):11-11.
[25]袁玥,师懿, 程胜高.基于二维动态水质模型的长江蕲春段水污染扩散分析[J].安全与环境学报, 2016,16(1):212-217.
[26]GUERRERO M, DI FEDERICO V, LAMBERTI A.Calibration of a 2-D morphodynamic model using water-sediment flux maps derived from an ADCP recording[J].Journal of Hydroinformatics, 2012,15(3):813-828.
[27]李若华, 周维, 姚凯华, 等.基于氧平衡的钱塘江河口水质模型研究及应用[J].中国农村水利水电, 2017(9):86-89.
[28]徐帅,张凯,赵仕沛.基于MIKE 21 FM模型的地表水影响预测[J].环境科学与技术,2015,38(增刊1):386-390.
[29]吕朝阳. GPU支持下的径流汇流模拟研究[D]. 成都:成都信息工程大学,2019.
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