剩余活性污泥好气消化中TTC-DHA与其它活性参数的相关性

本文以剩余污泥为材料,对好气消化污泥中TTC-DHA 与其它活性参数之间以及后者彼此间的相关性问题进行了分析与探讨,结果表明,不但TTC-DHA与OUR、MPN、MLSS之间显著相关,其相关系数分别为0.952(=22)、0.889(n=19)、0.778(n=19),而且OUR、MPN、MLSS 间彼此也显著相关,对于MLSS而言,无论是相关性还是检测灵敏度,TTC-DHA均优于OUR.本文认为,TTC-DHA将是剩余污泥好气消化研究和运行控制中一种有效的活性参数,它还能被用于估计好气消化污泥中非降解性MLSS的浓度。     

关于厌氧流化床稳态机理模型和参数估计模型的推理性研究

本研究采用化繁为简的模型图式、质量平衡原理和实验中的经验数据进行了厌氧流化床消化有机废液过程稳态机理模型的推理,继而对机理模型作了线性化处理,得到厌氧流化床运行的稳态参数估计模型。这些模型可用于厌氧流化床运行的在线控制,具有理论和实用价值。     

卤代苯类化合物光解速率与结构参数关系的研究

研究了5种卤代苯类化合物在水相中的光解速率,以及罗丹明B的影响。结果表明,罗丹明B不同程度地提高了它们的光解速率。HMO法计算的键级、E_HOMO,E_LUMO与光解速率常数存在良好的多元线性关系,3个结构参数对速率常数的影响可对实验现象作出解释.      

Addressing data challenges in riverine nutrient load modeling of an intensively managed agro-industrial watershed

Data limitations often challenge the reliability of water quality models, especially in intensively managed watersheds. While numerous studies report successful hydrological model setup and calibration, few have addressed in detail the data challenges for multisite and multivariable model calibration to an intensively managed watershed. In this study, we address some of these challenges based on our reflective experience calibrating the Soil and Water Assessment Tool (SWAT) to the Upper Sangamon River Watershed in central Illinois based on daily flow, annual crop yield, and monthly sediment, nitrate, and total phosphorus loads. We highlight some challenges in SWAT calibration processes due to data errors and inconsistencies, and insufficient precipitation and water quality observations. Following, we demonstrate the merits of additional weather and water quality observations that could help reduce input uncertainties, and we provide suggestions for selecting appropriate observations for the model calibration. After dealing with the data issues, we show that the SWAT model could be calibrated with acceptable results for the case study watershed.     

Calibration and Validation of Far Field Dilution Models for Outfall at Worli, Mumbai

The city of Mumbai, India with a population of 15 million discharges about 2225 MLD of domestic wastewater after partial treatment to adjoining marine water body. Under the Mumbai Sewage Disposal Project Scheme, sewage is being disposed to the west coast at Worli and Bandra through 3.4 kms long submarine outfalls. A field study was conducted at recently commissioned outfall diffuser location at Worli, at the onset of neap flood tide to study the dispersion patterns and measure the far field dilutions using radio and dye tracers. Estimated dilutions using different tracers were compared with outputs from an empirical model (Brooks) and a 2D numerical model (DIVAST). Validation using parameters such as BOD and FC, indicated a good match for BOD in near field compared to FC. The radiotracer ⁸²Br and Rhodamine WT generally gave good correlation with Brooks' and DIVAST models for nearfield, however at further distances predictions were not accurate.     

Impact of Watershed Subdivision and Soil Data Resolution on SWAT Model Calibration and Parameter Uncertainty1

Abstract: Impact of watershed subdivision and soil data resolution on Soil Water Assessment Tool (SWAT) model calibration and parameter uncertainty is investigated by creating 24 different watershed model configurations for two study areas in northern Indiana. SWAT autocalibration tool is used to calibrate 14 parameters for simulating seven years of daily streamflow records. Calibrated parameter sets are found to be different for all 24 watershed configurations, however in terms of calibrated model output, their effect is minimal. In some cases, autocalibration is followed by manual calibration to correct for low flows, which were underestimated during autocalibration. In addition to normal validation using four years of streamflow data for each calibrated parameter set, cross‐validation (using a calibrated parameter set from one model configuration to validate observations using another configuration) is performed to investigate the effect of different model configurations on streamflow prediction. Results show that streamflow output during cross‐validation is not affected, thus highlighting the non‐unique nature of calibrated parameters in hydrologic modeling. Finally, parameter uncertainty is investigated by extracting good parameter sets during the autocalibration process. Parameter uncertainty analysis suggests that significant parameters show very narrow range of uncertainty across different watershed configurations compared with nonsignificant parameters. Results from recalibration of some configurations using only six significant parameters were comparable to that from calibration using 14 parameters, suggesting that including fewer significant parameters could reduce the uncertainty arising from model parameters, and also expedite the calibration process.     

基于BP神经网络的非煤地下矿山安全评价模型

针对非煤地下矿山安全评价的复杂性和非线性特性,BP神经网络对非线性动态系统较强的适应性,提出并建立了一种基于BP神经网络的非煤地下矿山安全评价模型。为提高该模型的可靠性,结合非煤地下矿山生产工艺特点,提出了一套便于统计和赋值的安全评价指标体系;确定了BP神经网络结构和评价结果表征方法;为提高BP神经网络算法的收敛速度和稳定性,对标准BP算法进行有效改进;通过实例运算验证了该模型的可行性。基于BP神经网络的安全评价模型为评价非煤地下矿山安全管理现状及水平提供了可操作的方法,为矿山有关部门提供了科学安全管理的依据。     

Measurement Diagnostics by Analysis of Last Digits

Though measurement instruments and methods have their natural precision limits, long term monitoring, which is so importantfor environmental studies, requires to set up and maintaincertain standards regarding precision. The elementaryrequirement is to produce measurements with a prescribed numberof valid digits. If the technology further develops and allowsto increase the number of valid digits, the change should bedocumented. In this paper we discuss a simple procedure for validity assessment of the last digits of data in a data base.It may be useful for both calibration control of an instrumentas well as for preliminary data analysis in scientific studies.The procedure utilizes the assumption that, under normalconditions, the last digits of the observed data can usually beconsidered as uniformly distributed random numbers. Failures ordeliberate changes in the observation mechanism can be detectedif particular digits occur more frequently than the others. Thedecision about proper representations of the last digits is doneby means of the familiar chi-square statistics.     

Standardisation of Temperature Observed by Automatic Weather Stations

Daily mean, maximum and minimum surface airtemperature data were gathered from a network ofautomatic weather stations (AWS) within the Moor HouseNational Nature Reserve in northern England. Five AWSwere installed next to the official EnvironmentalChange Network weather station at Moor House. Datawere compared graphically and correction constantswere calculated to adjust data from each AWS to thestandard of the official station by optimising theconcordance correlation coefficient. Each correctedstation was re-located next to one of five in-situstations in and around the reserve, allowingcorrection of all temperature sensors to a commonstandard. The mean error associated with measureddaily mean, maximum and minimum temperature for eachsensor does not exceed ±0.2 K. The procedurequantifies a source of systematic measurement error,improving the identification of spatial temperaturedifferences between stations.     

太湖水质参数中小尺度空间结构特征

经济的发展和人们生活水平的提高，造成了太湖的富营养化和生态环境的严重破坏。太湖的水质污染目前已严重影响了整个流域的可持续发展，并对人们的身体健康造成潜在的危害。治理太湖、保护太湖已成为人们刻不容缓的任务。了解湖泊水质参数空间结构特征是进行太湖环境评价的重要前提，也是合理治理太湖的重要基础。地统计学的出现为精确描述湖泊水质参数空间结构提供了有效的工具。应用地统计学技术对太湖3种水质参数进行了空间结构分析，结果显示，污染物集中在湖岸线附近不易向湖中央扩散，各水质参数空间分布差异性较大，且空间结构特征极为相似，不同尺度之间有差异性。同时，由于采样密度和范围的限制，更细微和更大尺度的空间结构特征尚不能得以表述。最后，还讨论了太湖水质参数的空间结构变异性。