基准镇流器的校准方法及不确定度评定

为可靠测试基准镇流器的电压/电流比、功率因数,本文简要介绍了基准整流器的校准方法,对校准结果的不确定度评定进行了分析,给出了测量结果的不确定度,同时验证了该校准方法的可行性。     

浅谈仪器设备校准确认

仪器设备的校准确认是保证检验检测工作准确性的重要手段,结合环境监测工作实际从校准前的准备、校准确认的内容、记录、结果应用4个方面对准确认工作进行了描述,为更好的开展校准确认工作提供技术参考。     

激光位移传感器动态幅值校准研究

针对目前激光位移传感器校准所存在的精度低、校准局限性大等诸多问题,本文提出了一种激光位移传感器动态幅值校准的方法。本校准方法首先采用电磁振动台激励标准结构件进行量级放大,以产生特定高频的大位移振幅;然后基于多普勒效应的激光测振仪测得的位移作为标准量,对激光位移传感器的动态幅值进行校准;最后通过一系列不同共振频率的标准结构件对不同频率下的位移振幅校准进行试验研究。研究结果表明：与现有技术相比较,本文提出的激光位移传感器动态幅值校准方法可对激光位移传感器不同频率下的动态幅值进行精确校准,对工程实际应用具有重要价值。     

质量块对动态力传感器校准的影响特性

校准质量块是动态力传感器校准中的关键部件,其加速度分布的均匀性直接影响动态力传感器的校准准确度,采用有限元分析方法结合实验对比方法,研究了质量块形状尺寸、密度、弹性模量及比模量等参数对质量块加速度分布均匀性的影响,给出了各因素的影响特性。实验结果表明,使用重质合金质量块可提高动态力传感器的校准准确度。     

氙灯试验箱校准技术研究

氙灯试验箱是采用氙弧灯光源的气候老化试验设备,国内还没有相应的校准规范及合适的测量仪器.本文介绍了氙灯试验箱的应用与发展状况、主要结构类型和技术参数、现有的校准方法,研究了氙灯试验箱校准的测量仪器及其相关的技术问题.     

基于离线采集模式的高低温低气压试验箱校准技术的研究

针对高低温低气压箱校准技术展开研究,分析了传统校准方案的不足之处,提出了一种基于离线采集模式的高低温低气压试验箱温度、压力校准方案,并结合虚拟仪器、数据库与MATLAB,完成了该方案的设计与实现。最后通过实验验证了该方案的可靠性与可行性,并应用到环境与可靠性工作中。     

摆客 咱摆的不是地摊

写博文的叫＂博客＂,拍视频的叫＂拍客＂,攻击电脑黑人的叫＂黑客＂……但如果你认为摆客就是摆地摊的,那就错了,因为不是每个摆地摊的都是摆客。百度词条这样形容这群人：摆客是高素质、自律、无害的、爱好摆摊这种销售形式，通过这种形式接触社会、并借此锻炼和表现自己的群体。摆客这个群体以白领和大学生为主体，不以摆地摊为谋生手段，遵守《中国摆客公约》，不会污染环境和阻碍交通，不会扰民，会提供售后服务。     

环境监测校准曲线斜率的质量控制探讨

在环境监测中使用分光光度法进行样品测定时,都要利用校准曲线的回归方程计算其待测样品的含量。为使监测结果更为准确,必须对校准曲线的准确性进行检验,即对校准曲线的斜率进行统计检验。在实际工作中,常采用Dixon检验法和斜率相对偏差(RbD)法检验校准曲线斜率,也可以利用校准曲线斜率均值控制图进行质量控制,使分析测试工作处于受控状态中,使监测结果更加真实可靠。     

高压衰减器的时域校准方法

本文介绍了一种基于系统辨识的高压衰减器的时域校准方法。依据系统辨识的基本原理,对高压衰减器建立输入、输出误差模型,通过测量衰减前后的时域波形,计算获得衰减器的传递函数,进而获得其修正系数。该方法可同时得到高压衰减器的幅频及相频特性,并可在高压校准条件下,准确反映衰减器的高压特性,为高压衰减器的时域校准提供了技术依据。     

接地引下线导通电阻测试仪校准方法

本文介绍了接地引下线导通电阻测试仪的用途、原理及其技术指标，参考DL/T845.6-2022《电阻测量装置通用技术条件第6部分接地引下线导通电阻测试仪》中对接地引下线导通电阻测试仪的性能要求，提出了接地引下线导通电阻测试仪的计量性能要求、测量标准、校准项目和校准方法，并对电阻参数的测量不确定度进行了评定，可做为接地引下线导通电阻测试仪校准的方法参考和技术依据。     

Calibration Catchment Selection for Flood Regionalization Modeling1

Wan Jaafar, Wan Zurina, and Dawei Han, 2012. Calibration Catchment Selection for Flood Regionalization Modeling. Journal of the American Water Resources Association (JAWRA) 48(4): 698‐706. DOI: 10.1111/j.1752‐1688.2012.00648.x Abstract: There are two unsolved problems in flood regionalization model development related to the quantity and quality of calibration catchments: (1) how many calibration catchments should be used? and (2) how to select the calibration catchments? This study explores these two questions through a case study on the median annual maximum flood (QMED) model in the United Kingdom. It has been found that the chance of developing a good QMED model decreases significantly when the number of calibration catchments drops below a critical number (e.g., 60 in the case study). However, no significant improvement is achieved if the number of calibration catchments is above it. This number could be used as a benchmark for choosing randomly selected calibration catchments. Across a broad range of calibration catchment numbers, there are good and poor calibrated models regardless of calibration catchment numbers. High quality models could be developed from a small number of calibration catchments and also poor models from a large number of calibration catchments. This indicates that the number of calibration catchments may not be the dominating factor for developing a high quality regionalization model. Instead, the information content could be more important. The study has demonstrated that the standard deviation values between the best and poorest groups are distinctive and could be used in choosing appropriate calibration catchments.     

Importance of Crop Yield in Calibrating Watershed Water Quality Simulation Tools1

Surendran Nair, Sujithkumar, Kevin W. King, Jonathan D. Witter, Brent L. Sohngen, and Norman R. Fausey, 2011. Importance of Crop Yield in Calibrating Watershed Water Quality Simulation Tools. Journal of the American Water Resources Association (JAWRA) 47(6):1285–1297. DOI: 10.1111/j.1752‐1688.2011.00570.x Abstract: Watershed‐scale water‐quality simulation tools provide a convenient and economical means to evaluate the environmental impacts of conservation practices. However, confidence in the simulation tool’s ability to accurately represent and capture the inherent variability of a watershed is dependent upon high quality input data and subsequent calibration. A four‐stage iterative and rigorous calibration procedure is outlined and demonstrated for Soil Water Analysis Tool (SWAT) using data from Upper Big Walnut Creek (UBWC) watershed in central Ohio, USA. The four stages and the sequence of their application were: (1) parameter selection, (2) hydrology calibration, (3) crop yield calibration, and (4) nutrient loading calibration. Following the calibration, validation was completed on a 10 year period. Nash‐Sutcliffe efficiencies for streamflow over the validation period were 0.5 for daily, 0.86 for monthly, and 0.87 for annual. Prediction efficiencies for crop yields during the validation period were 0.69 for corn, 0.54 for soybeans, and 0.61 for wheat. Nitrogen loading prediction efficiency was 0.66. Compared to traditional calibration approaches (no crop yield calibration), the four‐stage approach (with crop yield calibration) produced improved prediction efficiencies, especially for nutrient balances.     

单推三校正系数在光离子化检测器应用中的测量研究

在利用光离子化检测器监测单推三推进剂贮存环境时,必须首先要知道单推三相对于光离子化检测器校准气体的校正系数。通过简要介绍了校正系数的测量计算原理,并进行实验测量计算,求得单推三的校正系数。     

莱特生物强化技术处理高浓度有机废水的中试

采用莱特生物强化技术(LTBR—Littoral BioReactor),对兰州石化公司化工园区高浓度有机废水进行了中试试验,进行了正常运行的常规标定、水量冲击标定、浓度冲击标定。结果表明:采用LTBR生物处理工艺,使用特效微生物和营养基质,可以在高COD、高含盐等不利条件下正常进行有机物降解,达到了必须将废水中的COD降至2000mg/L以下的试验要求,为处理高浓度有机化工废水的工程应用开辟了新思路。     

THE EFFECT OF DATA INDEPENDENCE IN MODEL CALIBRATION AND MODEL TESTING1

ABSTRACT: With the increased use of models in hydrologic design, there is an immediate need for a comprehensive comparison of hydrologic models, especially those intended for use at ungaged locations (i.e., where measured data are either not available or inadequate for model calibration). But some past comparisons of hydrologic models have used the same data base for both calibration and testing of the different models or implied that the results of model calibration are indicative of the accuracy at ungaged locations. This practice was examined using both the regression equation approach to peak discharge estimation and a unit hydrograph model that was intended for use in urban areas. The results suggested that the lack of data independence in the calibration and testing of regression equations may lead to both biased results and misleading statements about prediction accuracy. Additionally, although split-sample testing is recognized as desirable, the split-samples should be selected using a systematic-random sampling scheme, rather than random sampling, because random sampling with small samples may lead to a testing sample that is not representative of the population. A systematic-random sampling technique should lead to more valid conclusions about model reliability. For models like a unit hydrograph model, which are more complex and for which calibration is a more involved process, data independence is not as critical because the data fitting error variation is not as dominant as the error variation due to the calibration process and the inability of the model structure to conform with data variability.     

Applications of Explicitly Incorporated/Post‐Processing Measurement Uncertainty in Watershed Modeling

In the field of watershed modeling, the impact of measurement uncertainty (MU) on calibration results indicates the potential issue of inaccurate model predictions. It is important to note that MU refers to the uncertainty in measured data such as flow and nutrient values that are used to evaluate model outputs. The calculation of error statistics assuming measured data are deterministic may not be appropriate as has been frequently stated in literature. Although MU can affect model calibration results, it is rarely incorporated in modeling practice. MU can be incorporated in two schemes: explicitly incorporated (MU‐EI) during model calibration and post‐processed (MU‐PP) after calibration is completed. In this study, both schemes are implemented in a case study of the Arroyo Colorado Watershed, Texas. Unexpectedly, no substantial differences were observed between each scheme for flow predictions. Although MU did not cause dramatic differences in most sediment and NH₄‐N predictions, error statistics were affected in cases with MU greater than 50%, especially for sediment and NH₄‐N. Therefore, it is concluded that MU may not exert a significant impact on model predictions until certain threshold is reached. This study demonstrates that high levels of uncertainty in measured calibration/validation data significantly affect parameter estimation, especially in the auto‐calibration process.     

Automatic Calibration of Hydrologic Models With Multi‐Objective Evolutionary Algorithm and Pareto Optimization1

Abstract: In optimization problems with at least two conflicting objectives, a set of solutions rather than a unique one exists because of the trade‐offs between these objectives. A Pareto optimal solution set is achieved when a solution cannot be improved upon without degrading at least one of its objective criteria. This study investigated the application of multi‐objective evolutionary algorithm (MOEA) and Pareto ordering optimization in the automatic calibration of the Soil and Water Assessment Tool (SWAT), a process‐based, semi‐distributed, and continuous hydrologic model. The nondominated sorting genetic algorithm II (NSGA‐II), a fast and recent MOEA, and SWAT were called in FORTRAN from a parallel genetic algorithm library (PGAPACK) to determine the Pareto optimal set. A total of 139 parameter values were simultaneously and explicitly optimized in the calibration. The calibrated SWAT model simulated well the daily streamflow of the Calapooia watershed for a 3‐year period. The daily Nash‐Sutcliffe coefficients were 0.86 at calibration and 0.81 at validation. Automatic multi‐objective calibration of a complex watershed model was successfully implemented using Pareto ordering and MOEA. Future studies include simultaneous automatic calibration of water quality and quantity parameters and the application of Pareto optimization in decision and policy‐making problems related to conflicting objectives of economics and environmental quality.     

Evaluation of SWAT Impoundment Modeling Methods in Water and Sediment Simulations

Worldwide studies show 80%–90% of all sediments eroded from watersheds is trapped within river networks such as reservoirs, ponds, and wetlands. To represent the impact of impoundments on sediment routing in watershed modeling, Soil and Water Assessment Tool (SWAT) developers recommend to model reservoirs, ponds, and wetlands using impoundment tools (ITs). This study evaluates performance of SWAT ITs in the modeling of a small, agricultural watershed dominated by lakes and wetlands. The study demonstrates how to incorporate impoundments into the SWAT model, and discusses and evaluates involved parameters. The study then recommends an appropriate calibration sequence, i.e., landscape parameters calibration, followed by pond/wetlands calibration, then channel parameter calibrations, and lastly, reservoir parameter calibration. Results of this study demonstrate not following SWAT recommendation regarding modeling water land use as an impoundment depreciates SWAT performance, and may lead to misplaced calibration efforts and model over‐calibration. Further, the chosen method to model impoundments’ outflow significantly impacts sediment loads in the watershed, while streamflow simulation is not very sensitive. This study also allowed calculation of mass accumulation rates in modeled impoundments where the annual mass accumulation rate in wetlands (2.3 T/ha/yr) was 39% higher than mass accumulation rate in reservoirs (1.4 T/ha/yr).     

HB6783、GB/T5170在温湿度试验箱性能指标验收中的应用

本文简要介绍了环境与可靠性试验领域试验设备系列检定标准HB 6783、GB/T 5170。以本单位某型温湿度试验箱验收为例,详细介绍了HB 6783、GB/T 5170系列温湿度试验设备检定/检验标准在温湿度试验箱性能指标验收中的应用,通过对比应用总结,指出综合比较不同检定标准中温湿度性能指标的检定项目、方法,结合本单位产品试验需求应用,是制定温湿度试验箱性能指标验收方法的最佳途径。     

CALIBRATING AND VERIFYING THE SSARR MODEL -MISSOURI RIVER WATERSHEDS STUDY1

The Streamflow Synthesis and Reservoir Regulation (SSARR) model was calibrated and verified on the Madison and Gallatin watersheds in the upper Missouri River drainage. The study was performed to determine if the SSARR model could simulate snowmelt-runoff volumes to effect better operation of six multipurpose reservoirs on the Missouri River. Physical watershed characteristics and parameter sensitivity are incorporated into a procedure which expedites model calibration. Criteria are established to facilitate parameter development and to objectively evaluate calibration and verification results. A ratio of simulated to observed snowmelt-runoff volumes of the Madison River averaged 1.00 and 1.02 for calibration (N = 8 years) and verification (N = 6 years) with corresponding standard deviations of 0.08 and 0.13. Gallatin volume ratios averaged 0.99 and 0.95 for calibration (N = 7 years) and verification (N = 5 years) with respective standard deviations of 0.08 and 0.28.