城市湖泊富营养化的影响探讨——以金山湖为实例

以金山湖为研究对象,建立了金山湖二维水流水质耦合模型,利用有限差分法离解方程,模拟了金山湖在东风作用下的流场,在此基础上模拟了水温、营养盐（总磷、总氮）、流速与浮游藻类生长的关系以及湖水水质变化趋势。     

污水处理厂检测数据统计分析的研究

污水处理厂在管理方面积累了很多宝贵的经验,但还有一些有待提高的地方。尤其是在数据处理方面还没有认识到其重要性,给工艺管理带来了很多不利的因素。从实际运行管理需要出发,结合某污水处理厂实例,利用EXCEL和统计学知识,探讨了检测数据统计分析在污水处理厂中的应用,解决数据处理的问题,提高工艺管理水平,并取得了较好的效果。     

Streamflow Hydrology Estimate Using Machine Learning (SHEM)

Continuity and accuracy of near real‐time streamflow gauge (streamgage) data are critical for flood forecasting, assessing imminent risk, and implementing flood mitigation activities. Without these data, decision makers and first responders are limited in their ability to effectively allocate resources, implement evacuations to save lives, and reduce property losses. The Streamflow Hydrology Estimate using Machine Learning (SHEM) is a new predictive model for providing accurate and timely proxy streamflow data for inoperative streamgages. SHEM relies on machine learning (“training”) to process and interpret large volumes (“big data”) of historic complex hydrologic information. Continually updated with real‐time streamflow data, the model constructs a virtual dataset index of correlations and groups (clusters) of relationship correlations between selected streamgages in a watershed and under differing flow conditions. Using these datasets, SHEM interpolates estimated discharge and time data for any indexed streamgage that stops transmitting data. These estimates are continuously tested, scored, and revised using multiple regression analysis processes and methodologies. The SHEM model was tested in Idaho and Washington in four diverse watersheds, and the model's estimates were then compared to the actual recorded data for the same time period. Results from all watersheds revealed a high correlation, validating both the degree of accuracy and reliability of the model.     

Statistical Models to Predict and Assess Spatial and Temporal Low‐Flow Variability in New England Rivers and Streams

In the northern hemisphere, summer low flows are a key attribute defining both quantity and quality of aquatic habitat. I developed one set of models for New England streams/rivers predicting July/August median flows averaged across 1985–2015 as a function of weather, slope, % imperviousness, watershed storage, glacial geology, and soils. These models performed better than most United States Geological Survey models for summer flows developed at a statewide scale. I developed a second set of models predicting interannual differences in summer flows as a function of differences in air temperature, precipitation, the North Atlantic Oscillation (NAO) index, and lagged NAO. Use of difference equations eliminated the need for transformations and accounted for serial autocorrelations at lag 1. The models were used in sequence to estimate time series for monthly low flows and for two derived flow metrics (tenth percentile [Q10] and minimum 3‐in‐5 year average flows). The first metric is commonly used in assessing risk to low‐flow conditions over time, while the second has been correlated with increased probability of localized extinctions for brook trout. The flow metrics showed increasing trends across most of New England for 1985–2015. However, application of summer flow models with average and extreme climate projections to the Taunton River, Massachusetts, a sensitive watershed undergoing rapid development, projected that low‐flow metrics will decrease over the next 50 years.     

放射性浓缩液桶内干燥过程数学模型及动态仿真

为实现放射性浓缩液最大程度减容,设计了桶内干燥系统,基于物料衡算与热量衡算,建立了干燥过程动态数学模型,考察了不同的工艺条件对系统总体运行参数的影响,预测了桶内物料质量、含盐率、理论料面高度、温度、蒸发速率等关键参数随时间的变化规律.结果 表明:干燥总时长随加热功率、浓缩液含盐率、浓缩液温度、最终干燥盐分湿含率以及第一...     

耕作层下土地自然净化系统成本分析

对土地处理法中适合于小城镇的耕作层下土地自然净化系统的成本进行了分析研究。通过对已经运行的几个实际工程的建设投资与运行费用的数据监测与收集,利用SPSS17.0数据处理软件进行拟合,得到处理规模（Q,m3/天）与建设投资（C,万元）之间的关系C=258.130 6Q0.433 7。预测了不同处理规模该系统建设投资与运行...     

Estimation of Catchment Nutrient Loads in New Zealand Using Monthly Water Quality Monitoring Data

Causes of variation between loads estimated using alternative calculation methods and their repeatability were investigated using 20 years of daily flow and monthly concentration samples for 77 rivers in New Zealand. Loads of dissolved and total nitrogen and phosphorus were calculated using the Ratio, L5, and L7 methods. Estimates of loads and their precision associated with short‐term records of 5, 10, and 15 years were simulated by subsampling. The representativeness of the short‐term loads was quantified as the standard deviation of the 20 realizations. The L7 method generally produced more realistic loads with the highest precision and representativeness. Differences between load estimates were shown to be associated with poor agreement between the data and the underlying model. The best method was shown to depend on the match between the model and functional and distributional characteristics of the data, rather than on the contaminant. Short‐term load estimates poorly represented the long‐term load estimate, and deviations frequently exceeded estimated imprecision. The results highlight there is no single preferred load calculation method, the inadvisability of “unsupervised” load estimation and the importance of inspecting concentration‐flow, unit load‐flow plots and regression residuals. Regulatory authorities should be aware that the precision of loads estimated from monthly data are likely to be “optimistic” with respect to the actual repeatability of load estimates.     

污水处理厂水质在线监测数据可靠性研究

水质在线自动监测系统近年已经开始应用于污水处理厂,在线监测数据的可靠性是污水处理厂推广和应用水质在线监测系统的前提和基础。以广州市某污水厂水质在线监测系统为研究对象,采用对比实验的方法并应用数理统计原理对实验结果进行分析,探讨水质在线监测系统数据的可靠性。经实验及结果分析,污水处理厂水质在线监测系统测得的数据真实可靠,可以用于对污水厂的监督和运行指导。     

基于模糊数学与集值统计的既有建筑火灾危险性评估模型

建筑火灾危险度的评价具有评判参数较多、评判结论模糊、评判过程复杂的特点,一般采用模糊数学的方法加以解决,但是模糊数学有一个明显的缺陷就是评价结果为一个向量,而不是一个点值,其结果不够直观,而集值统计方法可以很好地解决此类问题.本文在前期研究中已建立的建筑火灾危险性模糊评价模型的基础上,通过在模糊数学中引入集值统计方法,...     

Rapid determination of phenolic compounds in water samples by alternating-current oscillopolarographic titration

A rapid, simple and sensitive method was demonstrated for the determination of phenolic compounds in water samples by alternating-current oscillopolarographic titration. With the presence of sulfuric acid, phenol could be transferred into a nitroso-compound by reacting with NaNO2. The titration end-point was obtained by the formation of a sharp cut in the oscillopolarographic with infinitesimal NaNO2 on double platinum electrodes. The results showed that phenol concentration had an excellent linear relationship over the range of 4.82×10-6-9.65×10-3 mol/L, the RSD of the proposed method was lower than 1.5%, and the spiked recoveries of three real water samples were in the range of 95.6%-106.9%.