Data-based modelling approach for variable density flow and solute transport simulation in a coastal aquifer   总被引：1，自引：1，他引：0  

Basant Yadav  Shashi Mathur  Sudheer Ch  Brijesh Kumar Yadav 《水文科学杂志》2018,63(2):210-226

Data-based models, namely artificial neural network (ANN), support vector machine (SVM), genetic programming (GP) and extreme learning machine (ELM), were developed to approximate three-dimensional, density-dependent flow and transport processes in a coastal aquifer. A simulation model, SEAWAT, was used to generate data required for the training and testing of the data-based models. Statistical analysis of the simulation results obtained by the four models show that the data-based models could simulate the complex salt water intrusion process successfully. The selected models were also compared based on their computational ability, and the results show that the ELM is the fastest technique, taking just 0.5 s to simulate the dataset; however, the SVM is the most accurate, with a Nash-Sutcliffe efficiency (NSE) ≥ 0.95 and correlation coefficient R ≥ 0.92 for all the wells. The root mean square error (RMSE) for the SVM is also significantly less, ranging from 12.28 to 77.61 mg/L.  相似文献   

基于共轭梯度搜索的病态问题处理方法     

刘杰  张娟娟 《大地测量与地球动力学》2019,39(8):863-868

在最小二乘平差准则基础上，把病态平差问题转化为无约束的二次规划问题，并利用优化理论分析病态对平差解的影响。通过共轭梯度搜索算法在可行域中寻找最优步长因子，自动寻找最速下降方向，并给出迭代初值的设置方法。分析近似计算中病态问题与局部最优解的关系，讨论局部最优解的快速迭代方法，并通过实例验证算法的有效性，计算迭代的速度。由于整个过程没有对法方程系数矩阵进行求逆计算，该算法可用于处理大规模系数矩阵高病态的平差问题。  相似文献   

青藏高原云团东传过程及其中中尺度对流系统的统计特征     

王婧羽  王晓芳  汪小康  崔春光 《大气科学》2019,43(5):1019-1040

利用逐小时风云卫星TBB资料、逐小时中国自动站与CMORPH降水产品融合数据以及国家级地面观测站24小时累积降水量,统计分析2010～2016年夏季,伴随下游地区（104°E以东）降水的青藏高原云团东传过程以及东传过程中镶嵌于云团中的中尺度对流系统（Mesoscale Convective System,简称MCS）特征。结果表明,共出现120次伴随下游降水的高原云团东传过程,6月出现最频繁,但持续时间较长的过程多出现在7月。云团向东传播的主要三条路径是平直东传、沿长江折向东传和复合东传。其中路径二——沿长江折向东传中的过程是高影响过程,因为过程次数较多（46次）,过程平均持续时间较长（62小时）,在下游地区引发的降水日数和暴雨日数最多。属于东传过程的MCS在7月形成最多,集中分布在青藏高原东坡、云贵高原东部、长江沿岸及其以南地区。高原MCS影响长江中下游地区降水主要是通过向东传播的形式实现,因为即使生命史更长的中α尺度对流系统（Meso-α Convective System,简称MαCS）也鲜少直接移动至110°E以东地区。不同区域的中α尺度持续性拉长形对流系统（Permanent Elongated Convective System,简称PECS）的日变化特征显示,东传过程MCS更容易在夜间从高原东坡向东传播至下游地区。在三条路径中,路径二中的东传过程MCS数量最多、在下游地区发展最旺盛并与降水日数和覆盖范围存在更好的对应关系。  相似文献   

北京一次积层混合云系结构和水分收支的数值模拟分析   总被引：3，自引：2，他引：1  

陶玥  李军霞  党娟  李宏宇  孙晶 《大气科学》2015,39(3):445-460

本文利用中国气象科学研究院(CAMS)中尺度云分辨模式对2007年10月的一次积层混合云降水过程进行了数值模拟。利用模拟结果结合实测资料, 研究了积层混合云系的宏微观结构和降水特征, 并分析了云系的水分收支及降水效率。结果表明:积层混合云是导致此次北京降水的主要云型;积层混合云降水分布不均匀, 云系中微物理量的水平和垂直分布都不均匀, 具有混合相云的云物理结构。冷云降水过程占主导地位, 雪的融化对雨水的形成贡献最大。北京区域降水过程的主要水汽源地为黄海海面及蒙古国, 两支气流在陕西北部汇合后的西南气流将水汽输送到华北地区, 北京区域以外, 水汽和水凝物主要从西边界和南边界输送到域内。北京区域降水主要时段内, 水物质通量在水平方向上为净流入。对北京区域水汽、水凝物和总水物质的水分收支各项的估算表明, 水物质基本达到平衡。北京区域从2007年10月5日20时至6日14时, 总水成物降水效率、凝结率、凝华率及总水凝物降水效率分别为5.6%、4.77%、4.19%、44.9%。  相似文献   

基于非线性规划原理绘制钻孔柱状图方法研究     

徐晓斌  何宝石  王清 《世界地质》2015,34(4):1149-1154

针对现有钻孔柱状图绘制中描述文字空间分布存在的问题,采用弹性理论-非线性原理对柱状图描述文字位置进行规划,合理分配各岩层描述单元空间,形成柱状图的初步分布;计算出各个地层的工程地质描述文字在柱状图图纸中最优位置的高度坐标xi;利用Auto CAD软件图形绘制环境,实现全程自动绘制钻孔柱状图的新方法。该方法高效且专业性强,图件规范、整齐、文字分布合理、格式美观,无需对图件进行后期的手动处理,免去了人工处理过程,节约了大量的人力成本。  相似文献   

基于粗糙集理论与遗传规划的地表下沉系数预测研究     

翟淑花  丁桂伶  张亮 《城市地质》2015,(Z1):37-41

利用粗糙集理论处理大数据量.消除冗余信息等方面的优势,计算出下沉系数各影响因素的属性重要性,约简了遗传规划训练样本集,建立了基于粗糙集和遗传规划的地表下沉系数预测模型。并与BP神经网络法预测结果进行了对比,结果表明,本模型具有精度高,收敛速度快等特点,将其应用到地表下沉系数预测中是可行的。  相似文献   

岩石本构模型智能辨识方法研究     

翟淑花  张亮  丁桂伶  张梅花 《城市地质》2015,(Z1)

岩石本构模型是研究岩石力学特征和变形机制的基础,而本构模型或模型中相关参数的识别是本构模型研究中的热点和难点问题。本文基于红板岩室内力学实验数据,分别利用遗传算法、BP神经网络以及遗传规划对红板岩本构模型进行了模式识别,结果表明,遗传算法进行参数识别需要事先假定流变模型的形式,误差较大,而BP神经网络和遗传规划可以一次性同时确定流变模型的结构形式及参数,有效避免模型假定所带来的误差。而遗传规划与BP神经网络相比,具有精度高、收敛快,可视化程度高等特点,为岩石本构参数及模型的智能识别方法的选取提供参考。  相似文献   

快速程序升温-石墨炉原子吸收光谱法测定地质样品中痕量镉     

吴峥  牟乃仓  王龙山  张飞鸽  高登峰  王光照 《岩矿测试》2011,30(2):186-189

建立了快速程序升温-石墨炉原子吸收光谱测定地质样品中痕量镉的分析方法.样品用硝酸-氢氟酸-高氯酸进行前处理,为提高分析效率,改进了石墨炉升温程序,省去了常规方法中的灰化步骤,使测定镉的程序升温时间由常规的90～100 s降至24 s,工作效率显著提高.方法检出限为0.011 μg/g,加标回收率为93.5%～106.0...  相似文献   

Empirical modeling of plate load test moduli of soil via gene expression programming     

Ali Mollahasani  Amir Hossein Alavi  Amir Hossein Gandomi 《Computers and Geotechnics》2011

New empirical models were developed to predict the soil deformation moduli using gene expression programming (GEP). The principal soil deformation parameters formulated were secant (E_s) and reloading (E_r) moduli. The proposed models relate E_s and E_r obtained from plate load-settlement curves to the basic soil physical properties. The best GEP models were selected after developing and controlling several models with different combinations of the influencing parameters. The experimental database used for developing the models was established upon a series of plate load tests conducted on different soil types at depths of 1–24 m. To verify the applicability of the derived models, they were employed to estimate the soil moduli of a part of test results that were not included in the analysis. The external validation of the models was further verified using several statistical criteria recommended by researchers. A sensitivity analysis was carried out to determine the contributions of the parameters affecting E_s and E_r. The proposed models give precise estimates of the soil deformation moduli. The E_s prediction model provides considerably better results in comparison with the model developed for E_r. The simplified formulation for E_s significantly outperforms the empirical equations found in the literature. The derived models can reliably be employed for pre-design purposes.  相似文献   

A hybrid computational approach to formulate soil deformation moduli obtained from PLT     

Seyyed Mohammad Mousavi  Amir Hossein Alavi  Ali Mollahasani  Amir Hossein Gandomi 《Engineering Geology》2011,123(4):324

In this study, new empirical equations were developed to predict the soil deformation moduli utilizing a hybrid method coupling genetic programming and simulated annealing, called GP/SA. The proposed models relate secant (E_s), unloading (E_u) and reloading (E_r) moduli obtained from plate load–settlement curves to the basic soil physical properties. Several models with different combinations of the influencing parameters were developed and checked to select the best GP/SA models. The database used for developing the models was established upon a series of plate load tests (PLT) conducted on different soil types at various depths. The validity of the models was tested using parts of the test results that were not included in the analysis. The validation of the models was further verified using several statistical criteria. A traditional GP analysis was performed to benchmark the GP/SA models. The contributions of the parameters affecting E_s, E_u and E_r were analyzed through a sensitivity analysis. The proposed models are able to estimate the soil deformation moduli with an acceptable degree of accuracy. The E_s prediction model has a remarkably better performance than the models developed for predicting E_u and E_r. The simplified formulations for E_s, E_u and E_r provide significantly better results than the GP-based models and empirical models found in the literature.  相似文献