Institutional and cost implications of multi-project baselines

Starting from a theoreticalnotion of capacity building this paperfocuses on the implications ofmulti-project baselines for costs andinstitutions. Availability of data and thelevel of data aggregation determine to alarge extent the cost of derivingmulti-project baselines. For localinstitutions this implies that theircapacity development needs are linked todecisions made on strictness of baselines.The initial higher costs of multi-projectcalculations in the development stage areeasily offset once more projects will usesuch a baseline. This paper argues theseinitial demands are not as high asexpected. Multi-project approaches willreduce transaction costs, especially forsmall-scale projects, will reducevalidation costs and likely reduce humanresource demands in other stages of theproject cycle.     

湖泊暴雨径流水质模拟研究

根据暴雨径流污染物浓度变化特点，采用最小二乘法对暴雨期间污染源各监测数据进行回归分析处理，对湖底糙率采用自动调整处理，建立了湖泊暴雨径流水质模型．对滇池湖泊某次暴雨过程的总磷和总氮进行了模拟研究，计算结果表明，该模型应用于滇池湖泊是成功的．     

Rural landscape planning case study of Nanhua State Farm

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随机模拟在常州运河水质规划中的应用

以常州运河的水质规划为实例,讨论了确定性水质模型的随机模拟。讨论中引进了主观概率和客观概率的概念,用泰勒级数确定客观概率分布,用可能最大机率法估计主观概率分布,并给出了在实施不同规划方案时的水质概率曲线和水质达标的保证率。计算结果表明,使水质恶化的各种随机因素的作用不容忽视,各种水污染治理措施只能降低水质超标的风险水平。     

森林植被影响径流形成机制研究进展

径流形成机制研究在水文学领域中具有十分重要的意义,且受到越来越广泛的重视。水文环境以及水文通量的空间异质性和时间变化性导致了水文过程的尺度依赖性和非线性特征,没有对水文过程较为清晰的认识,就不能将某一地区某一流域森林植被变化水文生态效应的研究结果简单地外推到其他地区和其他流域。开发基于物理过程分布式参数水文模型可以为认识森林植被变化的生态学后效和客观评价森林植被水文生态效益提供可行的工具。但是要实现这一目标,研究森林植被影响径流形成机制是问题的核心所在。另一方面,认识森林影响径流形成机制有助于研究水文学中的尺度问题。研究森林植被影响径流形成机制的主要方法包括水文测验、同位素示踪和动力水文学计算等,研究的空间尺度则为坡面与流域相接合。从已有的研究成果来看,森林植被影响径流形成机制可以概括为:①森林流域径流形成为变动源区产流机制;②森林流域径流形成主要受饱和地表径流、亚表层径流和地下径流的控制;③森林流域径流形成机制是相互作用和相互转化的;④优先流在森林流域径流形成中起到了至关重要的作用。     

铜山口铜(钼)矿床成矿流体水-岩反应数值模拟

铜山口铜(钼)矿床位于湖北省大冶市境内,是一典型的矽卡岩-斑岩复合型矿床。通过对其流体包裹体的系统研究,确定了成矿阶段成矿流体的成分及温压条件,并结合矿床学研究,将成矿过程分解为两个平行的成矿阶段,即矽卡岩型矿化阶段和斑岩型矿化阶段。根据Johson和Reed等人建立的水 岩反应模型,对本矿床成矿流体与围岩反应并析出金属沉淀的过程进行了数值模拟计算,其结果与实际地质情况吻合较好。     

典型焊接结构CAD专家系统的研究与应用

论述了典型焊接结构CAD专家系统的内涵、设计思想和设计方法过程以及应用前景。     

Oil/Suspended Particulate Material Interactions and Sedimentation

The interactions of physically dispersed oil droplets with suspended particulate material (SPM) can be important for the transport of bulk quantities of spilled crude oil and polycyclic aromatic hydrocarbons (PAH) to subtidal sediments. The literature regarding oil/SPM interactions is reviewed, and results from whole-oil droplet/SPM interaction kinetics and pure-component (Prudhoe Bay crude oil distillate cut) equilibrium partitioning experiments are presented. The effects of oil type, SPM characteristics, and salinity on the interaction rates are examined, and the importance of whole-oil droplet/SPM interactions on particle agglomeration and settling behavior are discussed. Whole-oil droplet/SPM interactions are retarded as oil droplet dispersion into the water column is inhibited by oil viscosity increases due to evaporation weathering and water-in-oil emulsification. Compared to whole oil droplet/SPM interactions, dissolved-component/SPM adsorption is not as significant for transport of individual components to sediments. The information presented in this paper can be used to augment computer-based models designed to predict oil-spill trajectories, oil-weathering behavior, and spilled oil impacts to the marine environment.     

BUILDUP,WASHOFF, AND EVENT MEAN CONCENTRATIONS1

ABSTRACT: Most watershed water quality simulation models require the user to specify pollutant buildup and washoff rate parameters for pollutants, by land use. Buildup and washoff rates are difficult to measure directly, and only limited guidance and few observed data are available from the literature. Many studies, however, report storm event mean concentrations (EMCs). These EMCs must arise as a result of the buildup and washoff processes, but typically represent the net contribution from a variety of pervious and impervious surfaces. This paper explores the relationship between EMCs and buildup/washoff parameters. An assumption of the mathematical form of the buildup/washoff relationship gives an algebraic expression for the EMC consistent with model assumptions. This yields techniques to separate observed EMCs into contributions from different land uses and from pervious and impervious surfaces. Given this relationship, numerical optimization may be used to estimate site specific values of buildup and washoff parameters from observed storm EMCs for use in modeling. Use of this approach helps ensure that model parameters are consistent with observed data, providing a rational starting point for final model calibration. Several site examples demonstrate use of the method.     

METHODOLOGIES FOR CALIBRATION AND PREDICTIVE ANALYSIS OF A WATERSHED MODEL1

ABSTRACT: The use of a fitted parameter watershed model to address water quantity and quality management issues requires that it be calibrated under a wide range of hydrologic conditions. However, rarely does model calibration result in a unique parameter set. Parameter nonuniqueness can lead to predictive nonuniqueness. The extent of model predictive uncertainty should be investigated if management decisions are to be based on model projections. Using models built for four neighboring watersheds in the Neuse River Basin of North Carolina, the application of the automated parameter optimization software PEST in conjunction with the Hydrologic Simulation Program Fortran (HSPF) is demonstrated. Parameter nonuniqueness is illustrated, and a method is presented for calculating many different sets of parameters, all of which acceptably calibrate a watershed model. A regularization methodology is discussed in which models for similar watersheds can be calibrated simultaneously. Using this method, parameter differences between watershed models can be minimized while maintaining fit between model outputs and field observations. In recognition of the fact that parameter nonuniqueness and predictive uncertainty are inherent to the modeling process, PEST's nonlinear predictive analysis functionality is then used to explore the extent of model predictive uncertainty.