嫦娥3号巡视探测器桅杆的转动角度误差检校     

张烁  徐亚明  刘少创  贾阳  薛博  马友青 《测绘科学》2014,39(9)

嫦娥3号巡视探测器桅杆的展开机构、偏航机构和俯仰机构在转动过程中存在系统性的偏差,这些误差影响了巡视探测器导航定位、地形恢复和路径规划的精度.针对这一问题,文章提出了一种间接平差模型,通过真实数据试验证明该方法能够用于对嫦娥3号巡视探测器桅杆的转动角度误差进行检校,并且具有很高的精度和稳定性.  相似文献   

天文经纬度仿真测量精度分析     

朱永兴  张超  詹银虎  陈彦方 《测绘科学技术学报》2014,(4)

介绍了天文测量室内仿真系统原理和天文经纬度测量流程;提出了测量精度的评定方法;分析了仿真系统天文经纬度测量的精度。结果表明:系统天文经纬度测量可以达到二等以上的天文测量要求,可以应用于日常天文测量训练和教学。  相似文献   

光学卫星常态化相对辐射定标方法研究     

师英蕊  姜洋  李立涛  于龙江  蒋永华 《地球信息科学学报》2020,22(12):2410-2424

相对辐射定标是获得各类光学遥感卫星传感器的高精度观测产品的必备条件,由于受发射震动、在轨空间环境变化等因素以及传感器自身衰减的影响,传感器在轨响应状态会随时间发生衰减和漂移,单一相对辐射定标方法无法保障卫星传感器在特定时间的探元响应一致性。本文以光学卫星传感器全生命周期影像辐射质量保障为目标,主要研究了光学卫星传感器在轨生命周期内高频率、高定标精度的常态化相对辐射定标方法,并总结了当前常用的相对辐射定标精度评估方法,评估了各定标方法的指标以及应用场景。利用珞珈一号01星（LJ1-01）夜光传感器获取的影像进行在轨暗电流、和在轨均匀场地定标实验和验证,珠海一号02组高光谱卫星影像被用来实施和验证统计定标和偏航辐射定标方法,并耦合多种定标方法实现常态化辐射定标。实验结果表明：各种定标方法处理后影像的条纹系数小于0.25%,图像相对标准差均优于3.00%;多种定标方法相互结合的常态化辐射定标方法实现了多种定标方法的优势最大化,完成常见传感器的高精度在轨标定。  相似文献   

甚宽频带地震计频域标定的噪声数据处理方法   总被引：2，自引：3，他引：2  

周云耀 《大地测量与地球动力学》2004,24(1):121-126

分析了频域标定中的噪声及传统数据处理方法，提出数据处理的本质是噪声处理的观点，探讨了不同噪声的不同处理方法，详细研究了长周期非线性漂移的噪声处理方法，有效地提高了频域标定精度。  相似文献   

A two‐dimensional model of hydraulic performance of stormwater infiltration systems     

D. Browne  A. Deletic  G. M. Mudd  T. D. Fletcher 《水文研究》2013,27(19):2785-2799

Stormwater infiltration systems are a popular method for urban stormwater control. They are often designed using an assumption of one‐dimensional saturated outflow, although this is not very accurate for many typical designs where two‐dimensional (2D) flows into unsaturated soils occur. Available 2D variably saturated flow models are not commonly used for design because of their complexity and difficulties with the required boundary conditions. A purpose‐built stormwater infiltration system model was thus developed for the simulation of 2D flow from a porous storage. The model combines a soil moisture–based model for unsaturated soils with a ponded storage model and uses a wetting front‐tracking approach for saturated flows. The model represents the main physical processes while minimizing input data requirements. The model was calibrated and validated using data from laboratory 2D stormwater infiltration trench experiments. Calibrations were undertaken using five different combinations of calibration data to examine calibration data requirements. It was found that storage water levels could be satisfactorily predicted using parameters calibrated with either data from laboratory soils tests or observed water level data, whereas the prediction of soil moistures was improved through the addition of observed soil moisture data to the calibration data set. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions     

Hilary McMillan  Jim Freer  Florian Pappenberger  Tobias Krueger  Martyn Clark 《水文研究》2010,24(10):1270-1284

In order to quantify total error affecting hydrological models and predictions, we must explicitly recognize errors in input data, model structure, model parameters and validation data. This paper tackles the last of these: errors in discharge measurements used to calibrate a rainfall‐runoff model, caused by stage–discharge rating‐curve uncertainty. This uncertainty may be due to several combined sources, including errors in stage and velocity measurements during individual gaugings, assumptions regarding a particular form of stage–discharge relationship, extrapolation of the stage–discharge relationship beyond the maximum gauging, and cross‐section change due to vegetation growth and/or bed movement. A methodology is presented to systematically assess and quantify the uncertainty in discharge measurements due to all of these sources. For a given stage measurement, a complete PDF of true discharge is estimated. Consequently, new model calibration techniques can be introduced to explicitly account for the discharge error distribution. The method is demonstrated for a gravel‐bed river in New Zealand, where all the above uncertainty sources can be identified, including significant uncertainty in cross‐section form due to scour and re‐deposition of sediment. Results show that rigorous consideration of uncertainty in flow data results in significant improvement of the model's ability to predict the observed flow. Copyright © 2010 John Wiley & Sons, Ltd.  相似文献   

Multi-objective autocalibration of SWAT model for improved low flow performance for a small snowfed catchment     

Vinod Chilkoti  Ram Balachandar 《水文科学杂志》2013,58(10):1482-1501

ABSTRACT

A reliable modelling framework needs to ensure that the model is simulating reality with limited uncertainty, thus enhancing its predictive ability. In the literature, hydrological model assessment using one or more metrics is reported to be inadequate when the river flow regime is required to be reproduced comprehensively. This research is aimed to: (a) calibrate the Soil and Water Assessment Tool (SWAT) based on the concept of multi-objective optimization by applying the Borg multi-objective evolutionary algorithm (MOEA); (b) apply hydrological signatures as objective functions; and (c) adopt a multi-metric approach for model evaluation. The SWAT model was coupled with a relatively newer and powerful Borg MOEA. The inclusion of hydrological signatures as objective functions along with the conventional statistical functions assisted in improving the performance for low flows by 135% in terms of volume efficiency and 65% for flow time series simulation.  相似文献   

Comparison of genetic algorithms and shuffled complex evolution approach for calibrating distributed rainfall–runoff model     

Yu‐Chi Wang  Pao‐Shan Yu  Tao‐Chang Yang 《水文研究》2010,24(8):1015-1026

Three methods, Shuffled Complex Evolution (SCE), Simple Genetic Algorithm (SGA) and Micro‐Genetic Algorithm (µGA), are applied in parameter calibration of a grid‐based distributed rainfall–runoff model (GBDM) and compared by their performances. Ten and four historical storm events in the Yan‐Shui Creek catchment, Taiwan, provide the database for model calibration and verification, respectively. The study reveals that the SCE, SGA and µGA have close calibration results, and none of them are superior with respect to all the performance measures, i.e. the errors of time to peak, peak discharge and the total runoff volume, etc. The performances of the GBDM for the verification events are slightly worse than those in the calibration events, but still quite satisfactory. Among the three methods, the SCE seems to be more robust than the other two approaches because of the smallest influence of different initial random number seeds on calibrated model parameters, and has the best performance of verification with a relatively small number of calibration events. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   

Calibration of an evapotranspiration model to simulate soil water dynamics in a semiarid rangeland     

M. P. Maneta  S. Schnabel  W. W. Wallender  S. Panday  V. Jetten 《水文研究》2008,22(24):4655-4669

  相似文献   

A calibration method of Argo floats based on multiple regression analysis     

纪风颖  王凡 《中国海洋湖沼学报》2006,24(2):118-124

1 INTRODUCTION Argo floats are instruments that move freely with the ocean current at fixed parking depths and cycle from a profiling depth to the sea surface at regular time intervals. While rising to the surface, these autonomous floats take profiles of…  相似文献