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.     

Evaluation of various global solar radiation models for Nigeria

This study assessed the performance of six solar radiation models. The objective was to determine the most accurate model for estimating global solar radiation on a horizontal surface in Nigeria. Twenty-two years meteorological data sets collected from the Nigerian Meteorological agency and the National Aeronautics and Space Administration for the three regions, covering the entire climatic zones in Nigeria were utilized for calibrating and validating the selected models for Nigeria. The accuracy and applicability of various models were determined for three locations (Abuja, Benin City, and Sokoto), which spread across Nigeria using seven viable statistical indices. This study found that the estimation results of considered models are statistically significant at the 95% confidence level, but their accuracy varies from one location to another. However, the multivariable regression relationship deduced in terms of sunshine ratio, air temperature ratio, maximum air temperature, and cloudiness performs better than other relationships. The multivariable relationship has the least root mean square error and mean absolute bias error, not exceeding 1.0854 and 0.8160 MJ m^?2 day^?1, respectively, and monthly relative percentage error in the range of ± 12% for the study areas.     

Rates of particulate pollution deposition onto leaf surfaces: Temporal and inter-species magnetic analyses

Evaluation of health impacts arising from inhalation of pollutant particles <10 μm (PM₁₀) is an active research area. However, lack of exposure data at high spatial resolution impedes identification of causal associations between exposure and illness. Biomagnetic monitoring of PM₁₀ deposited on tree leaves may provide a means of obtaining exposure data at high spatial resolution. To calculate ambient PM₁₀ concentrations from leaf magnetic values, the relationship between the magnetic signal and total PM₁₀ mass must be quantified, and the exposure time (via magnetic deposition velocity (MV_d) calculations) known. Birches display higher MV_d (∼5 cm⁻¹) than lime trees (∼2 cm⁻¹). Leaf saturation remanence values reached ‘equilibrium’ with ambient PM₁₀ concentrations after ∼6 ‘dry’ days (<3 mm/day rainfall). Other co-located species displayed within-species consistency in MV_d; robust inter-calibration can thus be achieved, enabling magnetic PM₁₀ biomonitoring at unprecedented spatial resolution.     

测定地表水中悬浮物的空白校正

进行了测定地表水中悬浮物空白校正与不作空白校正的对比试验 ,得出不作空白校正存在较大误差 ,认为测定地表水中悬浮物时应作空白校正。同时用测定海水中悬浮物的方法作测定地表水中悬浮物的试验 ,试验效果较好 ,符合测定要求。建议可用测定海水中悬浮物的方法来测定地表水中悬浮物     

碱性过硫酸钾消解紫外分光光度法测定水中微量总氮影响因素分析

采用国标《碱性过硫酸钾消解紫外分光光度法》（ HJ 636-2012）测定水中总氮（ TN）,虽然实验步骤简单,但影响因素较多,需严格控制实验条件。本文针对含量在方法检出限0．05 mg/L附近的微量总氮水样,从实验用水、器皿的处置、试剂的配制与存放、消解样品的制作与冷却时间等方面考察了总氮空白值的控制、校准曲线的选取等影响因素,优化了实验条件,结果令人满意。     

臭氧一级校准数据读取方式对校准的影响研究

臭氧标准参考光度计同时采用串口连接模式、模拟信号连接模式和仪器数据存储-手动输入模式3种数据读取方式对臭氧二级传递标准进行一级校准,比较不同数据读取方式对校准结果的影响。串口连接模式和仪器数据存储-手动输入模式所得到校准曲线的斜率和截距具有很好的一致性,相差较小。经修正转化截距后的模拟信号连接模式所得到的斜率和截距相对于其他2种数据读取方式有一定的差别,但也在校准指标以内。     

Integrating Modeling and Field Experiments to Evaluate Impacts of Vegetative Practices on Ponderosa Pine Watersheds1

Abstract: Determining watershed response to vegetation treatment has been the subject of numerous hydrologic studies over the years. However, generalizing the information obtained from traditional paired‐watershed studies to other watersheds in a region is problematic because of the empirical nature of such studies and the context dependence of hydrologic responses. This paper addresses the issue of generalizing hydrologic information through integration of process‐based modeling and field observations from small‐scale watershed experiments. To this end, the results from application of a process‐based model were compared with the results from small‐scale watershed experiments in ponderosa pine forests of Arizona. The model simulated treatment impacts reasonably well when compared to the traditional paired‐watershed approach. However, the model tended to overestimate water yields during periods of low flow, and there was a significant difference between the two approaches in the estimation of treatment impacts during the first four years following treatment. The results indicate that the lumped‐parameter modeling approach used here may be limited in its ability to detect small changes, and tends to overestimate changes that occur immediately following treatment. It is concluded that watershed experiments can be highly informative due to their direct examination of cause‐effect relationships, while process‐based models are useful for their processing power and focus on functional relationships. The integrated use of both watershed experiments and process‐based models provides a way to generalize hydrologic information, illuminate the processes behind landscape treatment effects, and to generate and test hypotheses.     

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.     

对脉冲电流探头的时域标定方法的探讨

根据Rogowski线圈原理自制自积分式脉冲电流探头,研究了脉冲电流探头时域标定的方法,验证了线圈工作于自积分状态,并最终得出标定系数。     

海工装备系泊缆索拉力监测技术与装置研究

目的 研究缆索拉力的实时监测技术和装置,以保障海工装备的系泊安全。方法 以导向滑轮的主承力构件滑轮轴为研究对象,在保证结构强度的前提下,对滑轮轴结构进行改造,研制缆索拉力监测新结构新装置,将求解大径长比滑轮轴剪力问题转化为测量局部特征点的单向变形,并通过实尺度试验得到标定系数,间接推算缆索拉力,将试验数据与有限元计算结果进行对比,验证监测方法的可行性和精确度。结果 经过仿真分析与试验标定表明,滑轮轴特征点的变形与缆索拉力之间存在线性关系,以缆索拉力280 kN为界,可分段线性拟合缆索拉力标定系数,测点1系数为0.312 4和0.137 6,测点2系数为0.2699和0.098 2。结论 本文研究的监测技术和装置能够较为准确地监测海工装备系泊缆索的实时拉力,兼具高可靠性、低成本、易实施的特点。