Excavation of Inlet Tunnels at Geheyan Power Station

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豫中优质烟草产区微量元素地球化学

本文主要介绍河南省中部地区优质烟草产区岩石、土壤等介质中微量元素分布特征及其迁移演化规律。简要讨论了烟草品质与微量元素的关系。     

An automatic parameter calibration method for the SWAT model in runoff simulation

Runoff simulation is highly significant for hydrological monitoring, flood peak simulation, water resource management, and basin protection. Runoff simulation by distributed hydrological models, such as the soil and water assessment tool (SWAT) model which is the most widely used, is becoming a hotspot for hydrological forecasting research. However, parameter calibration is inefficient and inaccurate for the SWAT model. An automatic parameter calibration (APC) method of the SWAT model was developed by hybrid of the genetic algorithm (GA) and particle swarm optimization (PSO). Multi‐station and multi‐period runoff simulation and accuracy analysis were conducted in the basin of the Zhangjiang River on the basis of this hybrid algorithm. For example, in the Yaoxiaba Station, the calibration results produced an R² of 0.87 and Nash Sutcliffe efficiency (NSE) index of 0.85, while verification results revealed an R² of 0.83 and NSE of 0.83. Results of this study show that the proposed method can effectively improve the efficiency and simulation accuracy of the model parameters. It can be concluded that the feasibility and applicability of GA‐PSO as an APC method for the SWAT model were confirmed via case studies. The proposed method can provide theoretical guidance for many hydrological research fields, such as hydrological simulation, flood prevention, and forecasting.     

企业物流成本核算研究综述

总结企业物流成本核算的内容、模式及方法,指出现行核算体系存在的主要问题,并探讨企业物流成本核算的研究方向.     

会计学原理精品课程教学创新——以人为本教学原则的探索及成果

专业课教学如何体现“以人为本”,这是会计教学面临的新课题。近年来,我们实行了给予学生选择教师权利的挂牌教学法促进学生个性发展的教学科研化方法,创新探索了学生自我评价及自发的经验学习等方法进行了创新与探索,取得了显著成效。本文对此进行介绍,对其对会计教学改革提供参考。     

南水北调南干渠工程穿越风险地段的施工方法

南水北调南干渠Ⅲ标需要全段穿越大兴灌渠、桥墩、垃圾坑以及二元地质结构地层等风险地段,施工难度大.施工中采取了铺设土工膜、现浇混凝土方涵导流、加密钢格栅等方法,安全地穿越了风险地段.     

图像处理建立混凝土有限元模型探讨

针对工程中常用的混凝土材料的不均匀特性,提出了一种基于图像处理技术建立二维混凝土有限元模型的方法.该方法综合图像处理过程中的图像增强、消除噪声和边缘检测技术建立人机对话平台,并结合网格自动划分技术建立非均匀有限元模型.通过一个实例,验证了该方法的有效性.     

基于PSO-GRNN方法的城市用水量短期预测

鉴于城市用水量短期预测中传统的神经网络训练易陷入局部极小点、收敛速度较慢等问题,采用具有全局随机优化思想的PSO算法对GRNN神经网络径向基函数的扩展速度进行优化,提出了城市用水量的PSO-GRNN神经网络预测方法。根据某市日用水量的实测数据进行建模和预测,通过与最小二乘模型、核估计模型、局部线性估计模型的模拟效果进行对比表明：PSO-GRNN网络具有较强的自适应能力和泛化能力,能够有效地提高用水量的预测精度。