基于Delft3D水动力模型对青草沙水库水温变化的模拟和预测
|
摘要
水体流场是影响水体温度变化的主要因素,也是影响水体污染物迁移的主要原因,这种影响在短时间内尤为明显。以上海市水源地青草沙水库为例,基于Delft3D建立模拟网格,利用ADI法进行流场数值模拟,利用实测数据进行验证得到拟合的水动力模型,并对水库的水温进行模拟,基于该模型预测未来气温条件下水库的水温变化。结果表明,随着气温的升高,水库水温高温时间段变长,升温时间点提前,未来藻类暴发时间可能不在夏季,而有所提前。
Flow field of water body is the main factor affecting water temperature variation, and it is also the main reason for the migration of water pollutants. This effect is quietly obvious in a short time period. In this paper, Qingcaosha Reservoir in Shanghai is used as an example. Based on Delft3 D, the simulation grid is established and the numerical simulation of flow field is carried out by ADI. The hydrodynamic model is verified by the measured data. Water temperature of the reservoir is simulated. Based on the model,water temperature of the reservoir is predicted in future. The results show that the reservoir water temperature will increase in future and the period of high temperature will be longer and in advance. The number of algae will increase not in summer but in advance.
Flow field of water body is the main factor affecting water temperature variation, and it is also the main reason for the migration of water pollutants. This effect is quietly obvious in a short time period. In this paper, Qingcaosha Reservoir in Shanghai is used as an example. Based on Delft3 D, the simulation grid is established and the numerical simulation of flow field is carried out by ADI. The hydrodynamic model is verified by the measured data. Water temperature of the reservoir is simulated. Based on the model,water temperature of the reservoir is predicted in future. The results show that the reservoir water temperature will increase in future and the period of high temperature will be longer and in advance. The number of algae will increase not in summer but in advance.
引文
[1]张琴娟.青草沙水库的长江原水水质调查[J].中国科技投资,2016(22):375,388.
[2]王辉.大伙房水库流场及水温分布的数值模拟研究[D].大连:大连理工大学,2015.
[3]陈泾.青草沙水库流场、滞留时间及盐水人侵来源[D].上海:华东师范大学,2014.
[4]李杰,袁建忠.青草沙水库流场和水质点数学模型计算分析[C].苏州:中国水利学会2007学术年会人类活动与河口分会场,2007.
[5]李宝林,王玉亭,张路增.以浮游植物评价达赉湖水质污染及营养水平[J].水生生物学报,1993,39(1):27-34.
[6]黄晓琛.藻类生长过程中的生态特性及水华预测方法研究[D].上海:上海交通大学,2009.
[7]杨东方,吴建平,曲延峰,等.地球生态系统的气温和水温补充机制[J].海洋科学进展,2007,25(1):121-126.
[8]李茂学,刘小梅,付新永,等.青草沙水库取水泵闸规模论证[J].给水排水,2009,35(2):50-54.
[9]张国庆,李鹏飞,黄立,等.全球未来50年平均气温的时间序列分析与预测[J].甘肃科技,2008,24(17):72-74.
[10]Stocker T F,Qin D,Plattner G K,et al.IPCC,2013:Climate change 2013:The physical science basis.Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change[J].Computational Geometry,2013,18(2):95-123.
[11]郯俊岭,江志红,马婷婷.基于贝叶斯模型的中国未来气温变化预估及不确定性分析[J].气象学报,2016,74(4):583-597.
[12]高学杰,林一骅,赵宗慈,等.温室效应对我国长江中下游地区气候的影响——数值模拟[J].自然灾害学报,2004,13(1):38-43.
[13]Takamura N,Iwakuma T,Yasuno M.Photosynthesis and primary production of Microcystis aeruginosa K(u|¨)tz.in Lake Kasumigaura[J].Journal of Plankton Research,1985,7(3):303-312.
[14]逯南南,褚福敏.温度及光照强度对藻类生长的影响[C].山东:2010“黄河杯”城镇饮用水安全保障技术论坛暨城市供水水质监测技术交流会,2010.
[15]徐良,冯平,孙冬梅,等.水温对藻类生长变化影响的数值模拟[J].安全与环境学报,2013,13(5):76-81.
[16]柴小颖.光照和温度对三峡库区典型水华藻类生长的影响研究[D].重庆:重庆大学,2009.
[17]廖振华.青草沙水库水动力数值模拟[D].上海:上海交通大学,2011.
[18]乔飞,郑丙辉,雷坤,等.长江下游及河口区水动力特征[J].环境科学研究,2017(3):389-397.
[19]Maa P Y.An efficient horizontal two-dimensional hydrodynamic model[J].Coastal Engineering,1990,14(1):1-18.
[20]许旭峰,刘青泉.太湖风生流特征的数值模拟研究[J].水动力学研究与进展,2009,24(4):512-518.
[21]张仁徽,陈宇里,耿钊.网格尺寸对Delft3D有限元水流场仿真精度影响的分析[J].应用科技,2015,42(1):57-61.
[22]刘小梅,王晓鹏,关许为,等.青草沙避咸蓄淡水库库容与特征水位研究[J].水利水电技术,2009,40(7):5-8.
[23]Moriasi D N,Arnold J G,Van Liew M W,et al.Model evaluation guidelines for systematic quantification of accuracy in watershed simulations[J].Transactions of the Asabe,2007,50(3):885-900.
[24]NASA Observatory[DB/OL].http://www.earthobservatory.nasa.gov/.
[2]王辉.大伙房水库流场及水温分布的数值模拟研究[D].大连:大连理工大学,2015.
[3]陈泾.青草沙水库流场、滞留时间及盐水人侵来源[D].上海:华东师范大学,2014.
[4]李杰,袁建忠.青草沙水库流场和水质点数学模型计算分析[C].苏州:中国水利学会2007学术年会人类活动与河口分会场,2007.
[5]李宝林,王玉亭,张路增.以浮游植物评价达赉湖水质污染及营养水平[J].水生生物学报,1993,39(1):27-34.
[6]黄晓琛.藻类生长过程中的生态特性及水华预测方法研究[D].上海:上海交通大学,2009.
[7]杨东方,吴建平,曲延峰,等.地球生态系统的气温和水温补充机制[J].海洋科学进展,2007,25(1):121-126.
[8]李茂学,刘小梅,付新永,等.青草沙水库取水泵闸规模论证[J].给水排水,2009,35(2):50-54.
[9]张国庆,李鹏飞,黄立,等.全球未来50年平均气温的时间序列分析与预测[J].甘肃科技,2008,24(17):72-74.
[10]Stocker T F,Qin D,Plattner G K,et al.IPCC,2013:Climate change 2013:The physical science basis.Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change[J].Computational Geometry,2013,18(2):95-123.
[11]郯俊岭,江志红,马婷婷.基于贝叶斯模型的中国未来气温变化预估及不确定性分析[J].气象学报,2016,74(4):583-597.
[12]高学杰,林一骅,赵宗慈,等.温室效应对我国长江中下游地区气候的影响——数值模拟[J].自然灾害学报,2004,13(1):38-43.
[13]Takamura N,Iwakuma T,Yasuno M.Photosynthesis and primary production of Microcystis aeruginosa K(u|¨)tz.in Lake Kasumigaura[J].Journal of Plankton Research,1985,7(3):303-312.
[14]逯南南,褚福敏.温度及光照强度对藻类生长的影响[C].山东:2010“黄河杯”城镇饮用水安全保障技术论坛暨城市供水水质监测技术交流会,2010.
[15]徐良,冯平,孙冬梅,等.水温对藻类生长变化影响的数值模拟[J].安全与环境学报,2013,13(5):76-81.
[16]柴小颖.光照和温度对三峡库区典型水华藻类生长的影响研究[D].重庆:重庆大学,2009.
[17]廖振华.青草沙水库水动力数值模拟[D].上海:上海交通大学,2011.
[18]乔飞,郑丙辉,雷坤,等.长江下游及河口区水动力特征[J].环境科学研究,2017(3):389-397.
[19]Maa P Y.An efficient horizontal two-dimensional hydrodynamic model[J].Coastal Engineering,1990,14(1):1-18.
[20]许旭峰,刘青泉.太湖风生流特征的数值模拟研究[J].水动力学研究与进展,2009,24(4):512-518.
[21]张仁徽,陈宇里,耿钊.网格尺寸对Delft3D有限元水流场仿真精度影响的分析[J].应用科技,2015,42(1):57-61.
[22]刘小梅,王晓鹏,关许为,等.青草沙避咸蓄淡水库库容与特征水位研究[J].水利水电技术,2009,40(7):5-8.
[23]Moriasi D N,Arnold J G,Van Liew M W,et al.Model evaluation guidelines for systematic quantification of accuracy in watershed simulations[J].Transactions of the Asabe,2007,50(3):885-900.
[24]NASA Observatory[DB/OL].http://www.earthobservatory.nasa.gov/.