一种气溶胶测量仪器标定系统的设计及性能评估

对气溶胶测量仪器进行准确标定是保证大气环境及污染源颗粒物测量数据质量的重要前提.本研究搭建了一套多分散在线标定气溶胶测量仪器的系统,该系统采用超声气溶胶发生装置产生多分散颗粒物,并用空气动力学粒径谱仪对颗粒物粒径分布进行测量.评测结果表明该系统干燥腔室内气溶胶稳定、均匀,且符合对数正态分布.以采样器为例,已有研究多使用单分散离线标定方法对采样器切割性能进行标定,该方法操作繁琐、实验周期长.利用多分散在线标定系统对PM_(2.5)和PM_(10)双级虚拟撞击采样器进行标定,并与单分散离线标定方法进行了对比,两套系统的标定结果呈现较好的一致性,但多分散在线方法大大缩短了标定实验周期.     

烟尘测试中体积相对误差的校验方法

对在烟尘测试中采样体积相对误差产生的原因进行了分析,提出了检验方法。并通过实例验证了本方法的可行性。     

应用于船舶与海洋工程结构安全监测的应变传感器技术研究

目的 研制适用于船舶与海洋工程结构安全监测的应变传感器,并提出标定方法。方法 针对海洋环境特点,考虑传感器封装技术,通过结构设计与有限元仿真计算,研制以弹性体和电阻应变片为主要组成的应变传感器。设计传感器专用标定梁,并完成标定流程的制定和数据处理方法的研究,开展标定试验,获取传感器的标定数据,得到传感器的转换系数和非线性误差。开展传感器的环境与可靠性试验验证。结果 传感器的转换系数具有较高的一致性,系数最大为0.342,最小为0.335,偏差为2.05%,试验传感器最大非线性误差为1.3%,并通过了9项环境试验与2.56个循环(共1 980 h)的可靠性试验考核。结论 提出的标定方法适用,传感器可承受海洋环境条件中温度、湿度和盐度的长期作用,满足实船监测需求。     

Process-based calibration of WRF-Hydro in a mountainous basin in southwestern U.S.

The National Water Model (NWM) will provide the next generation of operational streamflow forecasts across the United States (U.S.) using the WRF-Hydro hydrologic model. In this study, we propose a strategy to calibrate 10 parameters of WRF-Hydro that control runoff generation during floods and snowmelt seasons, and due to baseflow. We focus on the Oak Creek Basin (820 km²), an unregulated mountainous sub-watershed of the Salt and Verde River Basins in Arizona, which are the largest source of water supply for the Phoenix Metropolitan area. We calibrate the model against discharge observations at the outlet in 2008–2011, and validate it at two stream gauging stations in 2012–2016. After bias correcting the precipitation forcings, we sequentially modify the model parameters controlling distinct runoff generation processes in the basin. We find that capturing the deep drainage to the aquifer is crucial to improve the simulation of all processes and that this flux is mainly controlled by the SLOPE parameter. Performance metrics indicate that snowmelt, baseflow, and floods due to winter storms are simulated fairly well, while flood peaks caused by summer thunderstorms are severely underestimated. We suggest the use of spatially variable soil depth to enhance the simulation of these processes. This work supports the ongoing calibration effort of the NWM by testing WRF-Hydro in a watershed with a large variety of runoff mechanisms that are representative of several basins in the southwestern U.S.     

Application of an evolutionary algorithm to the inverse parameter estimation of an individual-based model

Inverse parameter estimation of individual-based models (IBMs) is a research area which is still in its infancy, in a context where conventional statistical methods are not well suited to confront this type of models with data. In this paper, we propose an original evolutionary algorithm which is designed for the calibration of complex IBMs, i.e. characterized by high stochasticity, parameter uncertainty and numerous non-linear interactions between parameters and model output. Our algorithm corresponds to a variant of the population-based incremental learning (PBIL) genetic algorithm, with a specific “optimal individual” operator. The method is presented in detail and applied to the individual-based model OSMOSE. The performance of the algorithm is evaluated and estimated parameters are compared with an independent manual calibration. The results show that automated and convergent methods for inverse parameter estimation are a significant improvement to existing ad hoc methods for the calibration of IBMs.     

环境与资源价值CV评估预测有效性研究进展

条件价值法是评估非市场产品价值的最重要方法,在环境与资源价值评估中得到广泛的应用,预测有效性是条件价值研究中最为核心的内容。论文在对环境与资源项目条件价值评估预测有效性实证研究回顾与分析的基础上,初步总结了导致CV有效性差的主要原因,认为无收入限制、温暖光辉以及"答非所问"等诸多原因均来自市场的虚拟性。介绍了提高CV预测有效性的三类主要措施,即事前措施、事后措施及事间措施。同时分析了CV预测有效性表达方式的局限性,提出应合理看待CV预测有效性的结果。     

面向危化品仓储堆垛三维几何重建的单目视觉标定算法研究

为了解决安全生产部门对危化品仓存储缺乏有效技术手段的问题,构建了五元组参数单目视觉成像模型并提出一种相机标定方法。该方法无需已知相机内参数信息,仅通过2个标识点成像关系就可实现参数标定,避免了传统算法实现过程复杂、运算量大等问题。标定得到的参数作为堆垛三维几何重建运算的基本条件,重建的效果则客观评价了标定参数的精确性。试验结果表明:提出的标定算法易于实现,其结果在堆垛几何重建过程中有较强的鲁棒性,重建结果与实际情况比较误差很小,适用于危化品仓储五距的监管。     

环境监测校准曲线制作和应用研究

对校准曲线的制作和应用中的有关问题进行了研究，为正确使用校准曲线提供科学参考。     

Calibrating a Mountain Watershed in Wyoming1

ABSTRACT: A watershed in Wyoming was calibrated using both local climatic data and flow from another watershed. An immediate need for entry forced calibration with a limited number of years of data. Regression equations were tested using noncentral “t” and associated power graphs. The equations were presented with recommendation for great care in use.     

MODELING THE HYDROCHEMISTRY OF THE CANNONSVILLE WATERSHED WITH GENERALIZED WATERSHED LOADING FUNCTIONS (GWLF)1

ABSTRACT: A previous modeling study used the Generalized Watershed Loading Functions (GWLF) model to simulate stream‐flow, and nutrient and sediment loads to Cannonsville Reservoir from the West Branch Delaware River (WBDR). We made several model revisions, calibrated key parameters, and tested the original GWLF model and a revised GWLF model using more recent data. Model revisions included: addition of unsaturated leakage between unsaturated and saturated subsurface reservoirs; revised timing of sediment export; inclusion of urban sediments and dissolved nutrients; tracking of particulate nutrients from point sources; and revised timing of septic system loads. The revision of sediment yield timing resulted in significant improvements in monthly sediment and particulate phosphorus predictions as compared to the original model. Addition of unsaturated leakage improved hydrologic predictions during low flow months. The other model changes improve realism without adding significant model complexity or data requirements. Goodness of fit of revised model predictions versus stream measurements, as measured by the Nash‐Sutcliff coefficient of model efficiency, exceeded 0.8 for streamflow‐0.7 for sediment yield and dissolved nitrogen (N) and 0.6 for particulate and dissolved phosphorus (P). The revised GWLF model, with limited calibration, provides reasonable estimates of monthly streamflow, and nutrient and sediment loads in the Cannonsville watershed.