In this study, 1D and 2D shallow-water models were coupled to simulate unsteady flow in channel networks and embayment. The 1D model solved the 1D shallow-water equations (St. Venant) using the Preissmann box method a...In this study, 1D and 2D shallow-water models were coupled to simulate unsteady flow in channel networks and embayment. The 1D model solved the 1D shallow-water equations (St. Venant) using the Preissmann box method and targeted long narrow reaches of the river networks, while the 2D model targeted broad channels and embayment and solved the 2D shallow-water equations using a semi-implicit scheme applied to an unstructured grid of triangular cells. The 1D and 2D models were solved simultaneously by building a matrix for the free surface elevation at every 1D junction and 2D cell center. Velocities were then computed explicitly based on the results at the previous time step and the updated water level. The originality of the scheme arose from a novel coupling method. The results showed that the coupled 1D/2D model produced identical results as the full 2D model in classical to benchmark problems with considerable savings in computational effort. Application of the model to the Pearl River Estuary in southern China showed that complex patterns of tidal wave propagation could be efficiently modeled.展开更多
A coupled one-dimensional （1-D） and two-dimensional （2-D） channel network mathematical model is proposed for flow calculations at nodes in a channel network system in this article. For the 1-D model, the finite di...A coupled one-dimensional （1-D） and two-dimensional （2-D） channel network mathematical model is proposed for flow calculations at nodes in a channel network system in this article. For the 1-D model, the finite difference method is used to discretize the Saint-Venant equations in all channels of a looped network. The Alternating Direction Implicit （ADI） method is adopted for the 2-D model at the nodes. In the coupled model, the 1-D model provides a good approximation with small computational effort, while the 2-D model is applied for complex topography to achieve a high accuracy. An Artificial Neural Network （ANN.） method is used for the data exchange and the connectivity between the 1-D and 2-D models. The coupled model is applied to the Jingjiang-Dongting Lake region, to simulate the tremendous looped channel network system, and the results are compared with field data. The good agreement shows that the coupled hydraulic model is more effective than the conventional 1-D model.展开更多
目的应用网络药理学方法探究川芎-当归药对的主要活性成分、靶点和药理作用机制。方法研究时间为2020年9—12月。首先以“川芎”“当归”为关键词,在TCMSP 2.3数据库中检索药材的成分、靶点和对应疾病数据,构建“药物-成分靶点-疾病”网...目的应用网络药理学方法探究川芎-当归药对的主要活性成分、靶点和药理作用机制。方法研究时间为2020年9—12月。首先以“川芎”“当归”为关键词,在TCMSP 2.3数据库中检索药材的成分、靶点和对应疾病数据,构建“药物-成分靶点-疾病”网络,进行基因本体(gene ontology,GO)分类富集分析、京都基因和基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路富集分析,探究“川芎-当归”药对作用机制。结果“药物-成分-靶点-疾病”网络包含2个药物、10个活性成分,71个作用靶点,191种疾病。关键靶点涉及环氧化酶2(PTGS2)、过氧化物酶体增生激活受体γ(PPARG)、雌激素受体(ESR1)、β2肾上腺素能受体(ADRB2)、周期蛋白依赖激酶2(CDK2)、热休克蛋白90(HSP90)、促分裂原活化蛋白激酶14(MAPK14)、胆碱能受体2(CHRM2)、5羟色胺受体2A(HTR2A)、凝血因子Ⅱ受体(F2R)、盐皮质激素受体(NR3C2)、内皮型一氧化氮合酶(NOS3)等,关键疾病涉及疼痛、心血管疾病、乳腺癌、阿尔茨海默病、炎症、癌症、焦虑症、精神分裂症、前列腺癌、实体肿瘤、脑损伤等。GO富集分析得到237个条目,包括生物过程178个,分子功能26个,细胞组成33个。通路富集分析包含66条通路,主要涉及神经活性配体-受体相互作用、钙离子信号通道、癌症通路、5-羟色胺能突触、大肠癌、雌激素信号通路、心肌细胞的肾上腺素能信号、甲状腺激素信号通路、cAMP信号通路、血管内皮生长因子信号通路等。结论“川芎-当归”药对中多个成分作用于多个靶点和通路,对疼痛、心血管疾病、乳腺癌、阿尔茨海默病、炎症、癌症等多种疾病均一定的治疗作用。展开更多
基金financially supporrted by the National Key Research and Development Program of China(Grant No.2017YFC1404200)the National Natural Science Foundation of China(Grant Nos.51779150 and 51979040)
文摘In this study, 1D and 2D shallow-water models were coupled to simulate unsteady flow in channel networks and embayment. The 1D model solved the 1D shallow-water equations (St. Venant) using the Preissmann box method and targeted long narrow reaches of the river networks, while the 2D model targeted broad channels and embayment and solved the 2D shallow-water equations using a semi-implicit scheme applied to an unstructured grid of triangular cells. The 1D and 2D models were solved simultaneously by building a matrix for the free surface elevation at every 1D junction and 2D cell center. Velocities were then computed explicitly based on the results at the previous time step and the updated water level. The originality of the scheme arose from a novel coupling method. The results showed that the coupled 1D/2D model produced identical results as the full 2D model in classical to benchmark problems with considerable savings in computational effort. Application of the model to the Pearl River Estuary in southern China showed that complex patterns of tidal wave propagation could be efficiently modeled.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.10872110,10902061)
文摘A coupled one-dimensional （1-D） and two-dimensional （2-D） channel network mathematical model is proposed for flow calculations at nodes in a channel network system in this article. For the 1-D model, the finite difference method is used to discretize the Saint-Venant equations in all channels of a looped network. The Alternating Direction Implicit （ADI） method is adopted for the 2-D model at the nodes. In the coupled model, the 1-D model provides a good approximation with small computational effort, while the 2-D model is applied for complex topography to achieve a high accuracy. An Artificial Neural Network （ANN.） method is used for the data exchange and the connectivity between the 1-D and 2-D models. The coupled model is applied to the Jingjiang-Dongting Lake region, to simulate the tremendous looped channel network system, and the results are compared with field data. The good agreement shows that the coupled hydraulic model is more effective than the conventional 1-D model.
文摘目的应用网络药理学方法探究川芎-当归药对的主要活性成分、靶点和药理作用机制。方法研究时间为2020年9—12月。首先以“川芎”“当归”为关键词,在TCMSP 2.3数据库中检索药材的成分、靶点和对应疾病数据,构建“药物-成分靶点-疾病”网络,进行基因本体(gene ontology,GO)分类富集分析、京都基因和基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路富集分析,探究“川芎-当归”药对作用机制。结果“药物-成分-靶点-疾病”网络包含2个药物、10个活性成分,71个作用靶点,191种疾病。关键靶点涉及环氧化酶2(PTGS2)、过氧化物酶体增生激活受体γ(PPARG)、雌激素受体(ESR1)、β2肾上腺素能受体(ADRB2)、周期蛋白依赖激酶2(CDK2)、热休克蛋白90(HSP90)、促分裂原活化蛋白激酶14(MAPK14)、胆碱能受体2(CHRM2)、5羟色胺受体2A(HTR2A)、凝血因子Ⅱ受体(F2R)、盐皮质激素受体(NR3C2)、内皮型一氧化氮合酶(NOS3)等,关键疾病涉及疼痛、心血管疾病、乳腺癌、阿尔茨海默病、炎症、癌症、焦虑症、精神分裂症、前列腺癌、实体肿瘤、脑损伤等。GO富集分析得到237个条目,包括生物过程178个,分子功能26个,细胞组成33个。通路富集分析包含66条通路,主要涉及神经活性配体-受体相互作用、钙离子信号通道、癌症通路、5-羟色胺能突触、大肠癌、雌激素信号通路、心肌细胞的肾上腺素能信号、甲状腺激素信号通路、cAMP信号通路、血管内皮生长因子信号通路等。结论“川芎-当归”药对中多个成分作用于多个靶点和通路,对疼痛、心血管疾病、乳腺癌、阿尔茨海默病、炎症、癌症等多种疾病均一定的治疗作用。
