ESTIMATING PEAK RUNOFF FROM FIELD-SIZE WATERSHEDS1

ABSTRACT: A simple nonlinear runoff model was developed and tested for use on field-size agricultural watersheds. A Wooding idealization of the watershed topography was used. Kinematic wave equations were used with an assumed, instead of computed, overland flow, watersurface profile in order to simplify the numerical computations. The approach was used to synthesize runoff hydrographs for an agricultural watershed in Iowa. The accuracy of the synthesized hydro-graphs was judged by comparing the estimated and observed peak discharges and by comparing estimated and observed stages at the measuring weir. The mean errors were 0.01 in/hr and 0.05 ft, respectively. A qualitative comparison was also made with a detailed kinematic wave study. The largest variability occurred during the seedbed period for both models, which was attributed to changes in surface roughness. The roughness was more constant and the results more consistent for the canopy and ground residue periods.     

参数完全不确定系统在未知输入下的损伤识别

由于各种因素的影响,实际结构系统与计算模型有着不小的差异。本文针对结构系统参数及基底输入完全未知情况下的损伤识别问题,构造了与质量无关的结构规格化刚度参数和阻尼参数,提出了关于结构规格化参数和层间质量比的非线性最小二乘迭代优化识别方法,并给出了用规格化参数进行识别损伤和地震动反演的公式。算例表明本方法是有效的。     

非线性时序法在城市大气污染预测中的应用

建立城市大气污染预测模型是治理城市大气污染的重要工作。在简述时间序列方法基本原理的基础上，分析了系数为变量的自回归滑动平均（ARMA）模型、截断ARMA模型，和残差为自回归综合滑动平均（ARIMA）的半参数方法等城市大气污染预测模型。以法国某城市为例，分别采用AR模型和系数为变量的AR模型对大气污染进行了预测。通过比较预测结果可知，基于非线性时间序列方法的城市大气污染预测模型可以提高预测精度，降低预测误差。     

考虑液固耦合储液罐非线性地震反应分析

利用ADINA有限元软件研究了考虑液固耦合的立式圆筒形锚固储液罐非线性地震反应.通过分析计算1000m3储液罐自振特性,储液罐的加速度峰值沿罐壁高度变化趋势,罐壁的应力分布等反应,初步揭示其破坏机理,分析结果为储液罐的抗震设计提供重要的参考依据.     

基于扇区动态复杂性因素的航空管制员工作负荷计算

为了更加准确地计算和预测航空管制员的工作负荷,利用雷达管制模拟试验获取的数据,分别采用线性回归、神经网络的非线性回归和基于神经网络的支持向量机方法,建立了基于扇区复杂性因素的管制员工作负荷实时计算模型。结果表明,这3种模型的绝对误差平均值分别为0.969、1.049、0.240;相对误差平均值分别为16.667%、17.979%、6.229%;均方根误差分别为0.186、0.206、0.114。另外,若采用5%作为基准精度,基于神经网络的支持向量机模型可以将相对误差控制在-0.5%~0.5%,表现出较强的误差控制能力。研究表明,可以采用扇区动态复杂性因素来计算管制员的工作负荷,相比线性回归、神经网络的非线性回归方法,基于神经网络的支持向量机方法对管制员工作负荷的计算有更高的精度。     

A new method for the prediction of flash points for ternary miscible mixtures

The flash point is one of the most important physicochemical parameters used to characterize the fire and explosion hazard for flammable liquids. The flash points of ternary miscible mixtures with different components and compositions were measured in this study. Four model input parameters, being normal boiling point, the standard enthalpy of vaporization, the average number of carbon atoms and the stoichiometric concentration of the gas phase for mixtures, were employed and calculated based on the theory of vapor–liquid equilibrium. Both multiple linear regression (MLR) and multiple nonlinear regression (MNR) methods were applied to develop prediction models for the flash points of ternary miscible mixtures. The developed predictive models were validated using data measured experimentally as well as taking data on flash points of ternairy mixtures from the literature. Results showed that the obtained average absolute error of both the MLR and the MNR model for all the datasets were within the range of experimental error of flash point measurements. It is shown that the presented models can be effectively used to predict the flash points of ternary mixtures with only some common physicochemical parameters.     

场地地震反应分析研究现状及展望∗

场地条件对结构震害的影响已成公认的事实,如何定量的进行场地地震反应分析成为地震工程学中亟待解决的问题之一,而在场地地震反应分析中确定地震动输入至关重要。针对场地条件和地震动输入对场地地震反应的具体影响、场地地震反应分析方法等方面的研究现状进行了系统总结。已有研究表明,场地条件和地震动输入对场地地震反应分析结果有显著影响。但目前仍存在的问题有:在冻土区进行场地地震反应分析时未充分考虑冻土层的影响效应;缺乏合理的地震动模型来准确描述实际地震动;尚未明确地震波入射角度对场地地震反应的影响规律;目前广泛使用的等效线性化方法不能完全反应土体在地震动作用下的真实运动状态而使其计算结果不尽合理。结合以上问题对还需进一步研究的内容进行了展望,为场地地震反应分析未来的研究工作提供参考。     

A COMPARATIVE STUDY OF LINEAR AND NONLINEAR TIME SERIES MODELS FOR WATER QUALITY1

ABSTRACT: Surface water quality data are routinely collected in river basins by state or federal agencies. The observed quality of river water generally reflects the overall quality of the ecosystem of the river basin. Advanced statistical methods are often needed to extract valuable information from the vast amount of data for developing management strategies. Among the measured water quality constituents, total phosphorus is most often the limiting nutrient in freshwater aquatic systems. Relatively low concentrations of phosphorus in surface waters may create eutrophication problems. Phosphorus is a non-conservative constituent. Its time series generally exhibits nonlinear behavior. Linear models are shown to be inadequate. This paper presents a nonlinear state-dependent model for the phosphorous data collected at DeSoto, Kansas. The nonlinear model gives significant reductions in error variance and forecasting error as compared to the best linear autoregressive model identified.     

攀枝花泥石流沟谷形态的非线性特征

攀枝花市大部分地区属泥石流重度危险区,所辖区县历史上多次受泥石流危害,现在仍有许多城镇、工矿、电站和交通设施受泥石流威胁。区内泥石流沟主要分布在断裂发育、岩层风化强烈、暴雨频发的安宁河、金沙江和雅砻江河谷地带。通过对区内近200条泥石流沟发育状况统计分析发现,泥石流沟沟床比降、流域面积、主沟长度、形态数和相对高度在空间分布上具非线性的分形特征,与对应的泥石流沟条数具良好的非线性相关关系,表明泥石流系统的演化具自相似性。其中沟床比降和流域面积的分维值最小,对泥石流沟的形成、演变控制最为显著。这也在一定程度上揭示了这些泥石流沟谷形态演变的非均匀性和自相似性。     

生态系统服务时空演化的非线性影响因子——以钱塘江流域为例

为深入探究不同尺度、不同类别影响因素对不同类型生态系统服务的影响程度和复杂关系,本文测定了钱塘江流域7项生态系统服务的时空变化,并通过随机森林模型识别了各单项生态系统服务不同尺度自然环境因素和社会经济因素的影响程度和相对重要性,并评估了主导影响因素的边际效应.结果表明：2010~2017年,各单项生态系统服务在时空变化上具有明显的空间分异特征;不同类型生态系统服务受不同尺度自然环境因素和社会经济因素的共同影响,但其影响程度存在明显差异,格网尺度、自然环境因素的影响相对较大,建设用地、耕地及与其直接相关的社会经济因素的变化改变和塑造着生态系统服务的演化过程;主导影响因素与各单项生态系统服务之间存在复杂的非线性关系,各影响因素指标的变化对各年份生态系统服务具有非平稳的影响,如建设用地增加初期对多项生态系统服务的影响更为复杂和剧烈.