遗传和模拟退火算法在水质模型参数确定中的应用简介

水质模型参数的确定是构建水质模型的基础。相对于传统优化方法,现代优化算法的优势日趋明显。本文在基于现代优化算法的水质模型参数确定研究背景下,介绍了具有代表性的遗传算法和模拟退火算法,并对该两种算法的应用现状进行综述,旨在推进该领域的进一步探索。     

河汉水质模型参数的优化估算探讨

采用最速下降法和复合形法对河流动态水质模型的参数进行了优化估算，并从计算方法的适用范围、计算机编程的复杂程度，整体工作量的大小，计算结果的代表性合理性等方面对这两种方法进行了比较分析。     

河流水质模型参数的优化估算探讨

采用最速下降法和复合形法对河流动态水质模型的参数进行了优化估算，并从计算方法的适用范围、计算机编程的复杂程度、整体工作量的大小、计算结果的代表性和合理性等方面对这两种方法进行了比较分析。     

河流水质模型中确定水文参数的经验方法探讨

河流水质模型中,要涉及一些重要的水文参数。本文探索了用经验方法推求水文参数的问题。文中论证了公式的合理性,提出了能表达河流断面形状特性的指标(β),建议了根据不同情况确定公式中参数的原则,还分析了公式的适用条件。研究成果对提高水质模型的适用性和精度都具有重要意义。     

活性炭吸附兰州市污水最佳条件的优化

针对兰州市柳沟河的水质特点,分析优化出活性炭吸附水中有机污染物的最佳工艺条件。采用正交试验法研究活性炭用量、吸附温度、吸附时间、振荡强度对吸附效果的影响,并确定最佳工艺条件为活性炭用量为0.3 g、吸附温度为35℃、吸附时间为1.5 h、振荡强度为100 r/min。优选出的最佳工艺条件可为污水处理厂、给水处理厂及各工矿企业处理各种水质中的有机污染物提供一定参考。     

人工神经网络在湟水水质综合评价中的应用

将“前向人工神经网络技术”应用于水质综合评价，提出了水质综合评价BP模型，并将该模型应用于实例进行效果检验，结果表明：人工神经网络BP模型用于水质综合评价是可行的，该方法适应性强，评价结果客观、合理。     

代神经网络在湟水水质综合评价中的应用

将“前向人工神经网络技术”应用于水质综合评价，提出了水质综合评价ＢＰ模型，并将该模型应用于实例进行效果检验，结果表明：人工神经网络ＢＰ模型用于水质综合评价是可行的，该方法适应性强，评价结果客观、合理。     

小管径配水管网水质模型脆弱性研究

小管径配水管网水质模型模拟结果精度高.但由于管网工况的复杂性,水质模型预测结果具有不确定性.通过定义水质模型的本质脆弱性,建立脆弱性分析模型,采用指标评价法研究模型在不同验证工况下的脆弱性,可以有效降低水质模型预测风险、构建水质模型失效“防火墙”,为帮助供水企业更为广泛地应用模型预测水质提供理论依据.     

新疆主要湖泊,水库的水质综合特征评价模式及灰色预测分析

为了解新疆湖、库的水质现状，采用水质综合评价模式对新疆主要湖、库水质现状给出了适应《地面水环境质量标准》ＧＢ３８３８－８８为标准的水质综合特征模式。该模式给出的信息量大，表达直观，不仅能给出各水质参数的水域类别，划分水域类别的依据参数，还能给出超Ｖ类水域的水质参数的超标倍数。在现状评价基础上，利用灰色系统理论对污染湖、库的主要污染参数进行了预测分析。     

基于Wiener过程的霍尔电流传感器可靠性预测

霍尔电流传感器的退化机理复杂，退化具有波动性，非线性等特征，对高可靠、长寿命的霍尔电流传感器准确进行寿命预测是一个难点。本研究通过对霍尔电流传感器进行加速退化试验，利用性能退化数据，预测了传感器的可靠性及寿命。首先分析了霍尔电流传感器工作原理和退化机理，确定将输出电流漂移作为其性能退化参数。然后由试验数据推导得到Wiener过程漂移参数和扩散参数的约束关系，结合阿伦尼乌斯模型推导得到漂移参数和扩散参数的加速模型。从而得到霍尔电流传感器在正常工作温度条件下的可靠度函数和可靠寿命。将结果与基于加速退化轨迹法的可靠性预测结果进行对比，验证了本方法的可行性。     

EVALUATION OF METHODS FOR ESTIMATING STREAM WATER QUALITY PARAMETERS IN A TRANSIENT MODEL FROM STOCHASTIC DATA1

ABSTRACT: In this study the estimation of parameters in water quality models represented by linear first order partial differential equations is investigated. Two sets of simulated input-output data, one with input noise and the other with output measurement error, were used. The parameters were estimated by a gradient technique (Bard's method) and a pattern search technique. The results indicate that the output measurement error significantly affects the values of parameter estimates as compared to the noise added to the input. Bard's method consistently gave results with a smaller sum of square value.     

四川升钟水库水质评价及污染负荷分析

选取高锰酸盐指数（CODMn）、五日生化需氧量（BOD5）、总氮（TN）、总磷（TP）4项监测指标,采用单因干评价法、综合污染指数法、内梅罗污染指数法、模糊综合评价法及水质标识指数法对升钟水库2004～2010年水污染特征进行分析与评价,结果表明：水质标识指数法比较适合升钟水库水体富营养化评价;单因子水质标识指数显示,水库主要污染物为总氮（TN）、总磷（TP）,基本呈现富营养状态;2008年水质最差,2010年水质达到Ⅱ类标准;7年Iwq的平均值Ave（Iwq）=3．393,Ave（Iwq）未达到国家Ⅱ类水质标准。近7年综合水质标识指数（Iwq）在不同时点上具有高-低演化规律,总体趋向好转。通过计算2006年N、P污染负荷,TN、TP入库主要源于水产养殖,其贡献率分别为：55％、82％,升钟水库TN、TP是合理容量的1．97～2．32倍。应严格控制水库网箱肥水养殖。研究结果对指导升钟水库水污染防治与水资源管理具有重要的意义。     

Curve Number Derivation for Watersheds Draining Two Headwater Streams in Lower Coastal Plain South Carolina,USA

The objective of this study was to assess curve number (CN) values derived for two forested headwater catchments in the Lower Coastal Plain (LCP) of South Carolina using a three‐year period of storm event rainfall and runoff data in comparison with results obtained from CN method calculations. Derived CNs from rainfall/runoff pairs ranged from 46 to 90 for the Upper Debidue Creek (UDC) watershed and from 42 to 89 for the Watershed 80 (WS80). However, runoff generation from storm events was strongly related to water table elevation, where seasonally variable evapotranspirative wet and dry moisture conditions persist. Seasonal water table fluctuation is independent of, but can be compounded by, wet conditions that occur as a result of prior storm events, further complicating flow prediction. Runoff predictions for LCP first‐order watersheds do not compare closely to measured flow under the average moisture condition normally associated with the CN method. In this study, however, results show improvement in flow predictions using CNs adjusted for antecedent runoff conditions and based on water table position. These results indicate that adaptations of CN model parameters are required for reliable flow predictions for these LCP catchments with shallow water tables. Low gradient topography and shallow water table characteristics of LCP watersheds allow for unique hydrologic conditions that must be assessed and managed differently than higher gradient watersheds.     

A PARTITIONING PROCEDURE FOR WATER QUALITY MANAGEMENT MODELS1

ABSTRACT: An improved computational procedure for solving water quality management models containing interacting pollutants and control policies is presented. The method is developed with respect to the specific problem of minimizing the costs of basin-wide thermal and organic pollution control to meet water quality standards. It views the problem in partitioned form where a master problem is used to find cooling levels for thermal polluters while subproblems determine optimal organic pollutant reductions for fixed cooling levels. A gradient based search procedure is used to solve the master problem. Computational results for several river systems are presented. Application of the method to other water quality management models is suggested.     

Application of best subset method for river water quality modeling: A study on Godavari River,India

The utilization of water quality analysis to inform optimal decision-making is imperative to achieve sustainable management of river water quality. A multitude of research works in the past has focused on river water quality modeling. Despite being a precise statistical regression technique that allows for fitting separate models for all potential combinations of predictors and selecting the optimal subset model, the application of best subset method in river water quality modeling is not widely adopted. The current research aims to validate the use of best subset method in evaluating the water quality parameters of the Godavari River, one of the largest rivers in India, by developing regression equations for different combinations of its physicochemical parameters. The study involves in formulating best subset regression equations to estimate the concentrations of river water quality parameters while also identifying and quantifying their variations. A total of 17 water quality parameters are analyzed at 13 monitoring sites using 13 years (1993–2005) of observed data for the monsoon (June–October) period and post-monsoon (November–February) period. The final subset model is selected among model combinations that are developed for each year's dataset through widely used statistical criteria such as R², F value, adjusted R²_a, AIC_c, and RSS. The final best subset model across all parameters exhibits R² values surpassing 0.8, indicating that the models possess the ability to account for over 80% of the variations in the concentrations of dependent parameters. Therefore, the findings demonstrated the appropriateness of this method in evaluating the water quality parameters in extensive rivers. This work is very useful for decision-making and in the management of river water quality for its sustainable use in the study area.     

Susceptibility indexing method for irrigation water management planning: applications to K. Menderes river basin, Turkey

A susceptibility indexing method was developed based on vulnerability and quality indices. The contamination susceptibility index (SI) at a given location was calculated by taking the product of the vulnerability index (VI) and the quality index (QI): SI = VI × QI. This method incorporates both hydrogeological and hydrochemical data for a comprehensive index mapping. The DRASTIC index methodology was used for the hydrogeological data evaluations. The quality index calculation procedure based on a water quality classification scheme was introduced to evaluate hydrochemical data. The suggested susceptibility indexing method was applied to the Küçük Menderes river basin located in western Turkey. The susceptibility index map shows both hydrogeological and hydrochemical data related to the contamination problem including areas that should be taken into consideration during water management planning. The index map indicates that the most susceptible groundwater is located along the river channel between Kiraz and Tire towns, in the Selçuk area and along the Fertek stream channel to the north of Torbal? town. The results indicate that the incorporation of both hydrogeological and hydrochemical datasets enables more realistic evaluations than those of an individual dataset to estimate the groundwater contamination susceptibility of an aquifer. The numerical procedure applied could be extended further by including other parameters such as retardation, potential contaminant sources, etc. that affect the water quality in a given basin.     

采油废水气浮-生物处理方法研究

针对采油废水外排水质超标现象,胜利油田孤岛采油厂在室内试验和现场小试的基础上,分别采用直接投加菌液方法和生物接触氧化方法对孤岛采油废水进行了现场中试对比研究。试验结果表明:两种方法都能有效地去除了采油废水中的超标污染物,处理后的水质指标全部达到GB8978-1996《污水综合排放标准》二类水质标准。相比较生物接触氧化法工序运行稳定,易于实施。     

REGIONAL WATER QUALITY MANAGEMENT BY THE GENERALIZED REDUCED GRADIENT METHOD1

ABSTRACT: A river basin-wide water quality management system is considered. The river receives thermal as well as organic wastes. At-source treatment of these pollutants is imposed to control the basin-wide water quality. The related water quality standards are: the minimum DO concentration, the maximum allowable BOD concentration, the maximum allowable stream temperature, and the allowable rise in stream temperature. The general dynamic mathematical model representing water quality in streams and the thermal effects on BOD and DO concentrations is presented. The model is highly nonlinear in nature. The optimal management problem involving the model is solved by a recently developed nonlinear propgramming technique - the generalized reduced gradient (GRG) method. Comparison of results obtained by the GRG method vs. dynamic programming, and of results using a more realistic mathematical model vs. a simple model are presented. The analysis procedure can be applied to designing new and examining existing water quality programs, and to study the influence of alternate policies and constraints.     

陆地生态系统CO_2与水热通量的研究进展

陆地生态系统CO2和水热通量研究,一直是全球气候变化研究的热点与难点问题。它对认识生态系统变化规律,预测全球气候变化趋势,评价生态系统的碳固定具有重要的科学意义。涡度相关法被认为是目前测定CO2、水热通量的最可靠方法。国外学者应用此方法解决了均匀下垫面假设下不同类型生态系统的CO2、水热通量的计算问题。在查阅前人研究成果的基础上,分析了陆地生态系统用涡度相关法在能量通量研究中的地位和重要性,评述了生态系统水热平衡的研究意义,总结了我国包括森林、草地、荒漠、农田等不同类型生态系统CO2、水热通量方面最新的研究进展,并对我国生态系统通量未来的研究策略及数据管理提出了建议和展望。     

沱江上游支流石亭江水环境容量及模拟探讨

本文在对沱江上游支流石亭江水质现状监测和区域污染源调查的基础上,计算了石亭江水环境容量;探讨了石亭江化工开发试验区废水中难降解污染物排放对河流影响的水质模拟方法,导出了多点源同时排放对河流影响的水质模拟递推式。计算结果表明:控制开发试验区废水氟排放是防治石亭江和沱江水污染的主要途径。