彩色CCD成像法测量光污染

光环境是城市人居条件的一项重要内容,光污染的监测主要是针对光环境。将色彩校正的方法应用于彩色CCD测量光环境亮度分布,并结合计算机图像处理技术,对不同的颜色转换矩阵进行实验分析,使得亮度计算值和实测值很好地吻合,得出图像RGB三刺激值与目标亮度的函数关系式。通过实验,对相机测量值与亮度计实测值进行对比,分析镜头渐晕现象...     

基于Matlab软件自动化求取参数的HEC-RAS模型构建

水质模型是水环境模拟的重要工具,近年来越来越多的应用于水环境预测与管理中,但平原河网水质模拟一直是个难点.本研究采用HEC-RAS模型开展湖州市长兴城区平原河网水动力和水质模拟.模型的水质模块率定采用Matlab软件自动化求取参数,代替常规试错法求参率定,减少了人工干预,提高了模型率定效率.HEC-RAS模型在平原河网地区水动力模拟结果较好,水质模拟结果基本符合要求,证明了HEC-RAS模型在平原河网应用的可行性,但模型的精度通常受水系概化、水文状况、污染源信息等因素影响,对于信息比较充分的短时段水质模拟其精度相对较好.     

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。     

SENSITIVITY CONSIDERATIONS WHEN MODELING HYDROLOGIC PROCESSES WITH DIGITAL ELEVATION MODEL1

ABSTRACT: The purpose of this paper is to investigate the sensitivity of a hydrologic models to the type of DEM used. This was done while modeling basin water quality with 1:24,000 and 1:250,000 U.S. Geological Survey DEMs as input to model hydro‐logical processes. The manner in which the model results were sensitive to the choice of raster cell size (scale) is investigated in this study. The Broadhead watershed, located in New Jersey, USA, was chosen as a study area. Curve numbers were estimated by a trial and error to match simulated and observed total discharge. Monthly runoff for the watershed was used in the calibration process. Higher runoff volumes were simulated by the model when the 1:24,000 DEM were used as input data, probably due to the finer resolution which simulated increased average slope and hence higher estimated runoff from the watershed. As the simulated slope of the watershed is flatten with the 1:250,000 DEM, the response of stream flow was delayed and simulated less runoff volume.     

Automated Calibration of the METRIC‐Landsat Evapotranspiration Process

A remaining challenge to applying satellite‐based energy‐balance algorithms for operational estimation of evapotranspiration (ET) is the calibration of the energy‐balance model. Customized calibration for each image date is generally required to overcome biases associated with radiometric accuracy of the image, uncertainties in aerodynamic features of the landscape, background thermal conditions, and model assumptions. The CIMEC process (calibration using inverse modeling at extreme conditions) is an endpoint calibration procedure where near extreme conditions in the image are identified where the ET can be estimated and assigned. In the Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC?) energy‐balance model, two endpoints represent the dry and wet ends of the ET spectrum. Generally, user‐intervention is required to select locations in the image to produce best accuracy. To bring the METRIC and similar processes into the domain of less experienced operators, a consistent, reproducible, and dependable statistics‐based procedure is introduced where relationships between vegetation amount and surface temperature are used to identify a subpopulation of locations (pixels) in an image that may best represent the calibration endpoints. This article describes the background and logic for the statistical approach, how the statistics were developed, area of interest requirements and assumptions, adjustment for dry conditions in desert climates, and implementation in a common image processing environment (ERDAS Imagine).     

WATER QUALITY MODEL CALIBRATION: A COMPARISON OF INPUT AND OUTPUT ERROR CRITERIA1

ABSTRACT: A common framework for the analysis of water resources systems is the input-parameter-output representation. The system, described by its parameters, is driven by inputs and responds with outputs. To calibrate (estimate the parameters) models of these systems requires data on both inputs and outputs, both of which are subject to random errors. When one is uncertain as to whether the predominant source of error is associated with inputs or outputs, uncertainty also exists as to the correct specification of a calibration criterion. This paper develops and analyzes two alternative least squares criteria for calibrating a numerical water quality model. The first criterion assumes that errors are associated with inputs while the second assumes output errors. Statistical properties of the resulting estimators are examined under conditions of pure input or output error and mixed error conditions from a theoretical perspective and then using simulated results from a series of Monte Carlo experiments.     

HYDROLOGIC CALIBRATION OF THE SWAT MODEL IN A WATERSHED CONTAINING FRAGIPAN SOILS1

ABSTRACT: The Soil and Water Assessment Tool (SWAT) model, designed for use on rural ungaged basins and incorporating a GRASS GIS interface, was used to model the hydrologic response of the Ariel Creek watershed of northeastern Pennsylvania. Model evaluation of daily flow prior to calibration revealed a deviation of runoff volumes (D_v) of 68.3 percent and a Nash-Sutcliffe coefficient of-0.03. Model performance was affected by unusually large observed snowmelt events and the inability of the model to accurately simulate baseflow, which was influenced by the presence of fragipans. Seventy-five percent of the soils in the watershed contain fragipans. Model calibration yielded a D_v of 39.9 percent and a Nash-Sutcliffe coefficient of 0.04, when compared on a daily basis. Monthly comparisons yielded a Nash-Sutcliffe coefficient of 0.14. Snowmelt events in the springs of 1993 and 1994, which were unusually severe, were not adequately simulated. Neglecting these severe events, which produced the largest and third largest measured flows for the period of record, a D_v of 4.1 percent and Nash-Sutcliffe coefficient of 0.20 were calculated on a daily comparison, while on a monthly basis the Nash-Sutciffe coefficient was 0.55. These results suggest that the SWAT model is better suited to longer period simulations of hydrologic yields. Baseflow volumes were accurately simulated after calibration (D_v= -0.2 percent). Refinements made to the algorithms controlling subsurface hydrology and snowmelt, to better represent the presence of fragipans and snowmelt events, would likely improve model performance.     

试论酸度计在pH测定中的定位问题

本文阐述了酸度计在测定ｐＨ时温度补偿的原理,分析了错误定位的原因,指出了正确的定位方法     

TUD模型在内蒙古地区某污水处理厂适用性研究

TUD模型应用于内蒙古呼和浩特市某污水处理厂运行实践模拟预测。首先利用TUD模型及其缺省参数进行初步模拟试预测,发现模拟预测出水COD、PO34-、SS与实际检测数据基本吻合,但对氮的预测略有偏差。采用标准参数校正方法,对模型中氮的个别组分参数（iNSF、iNXS）和硝化细菌半饱和动力学参数（KNH4）进行修正,即,i...     

二氧化氮标准物质校准氮氧化物分析仪的差异性

采用一氧化氮、二氧化氮标准物质对化学发光法的氮氧化物分析仪进行校准,并分析校准系统中零气源、连接管路、动态气体校准仪和标准物质对二氧化氮校准的影响,发现一氧化氮标准物质中的二氧化氮杂质会影响氮氧化物的校准结果,得出氮氧化物分析仪校准需要进行二氧化氮补偿的结论;同时,通过比较国产二氧化氮和进口二氧化氮标准物质产生的校准结果,得出进口二氧化氮标准物质较国产二氧化氮标准物质的稀释结果具有更好的稳定性和一致性。