附加环境因素:传统比较优势理论的扩展

在李嘉圈模型中，若将环境成本用追加的劳动投入来衡量。可以发现，环境成本的引入将修正传统的比较优势格局。在H-O模型中耐加环境因素，亦即假定环境作为一种生产要搴而起作用。则所形成的比较优势将建立在包含环境要素真实价格的基础之上。本文最后指出，环境要素的真实价格与现实价格的脱离，使“显示的比较优势”有可能与真实的比较优势发生偏离。从而损害效率与公平。     

基于NLM的三峡重庆库区面源污染负荷研究

随机性、模糊性、不确定性很强的面污染源是水环境污染中最主要的污染源。面源污染负荷的准确估算是研究和治理面源污染的基础。现在的面源污染数字模型大多数建立于DEM之上，高成本的DEM限制着这类模型的发展。新兴模型——NLM以面源污染发生机理完善而著称。借助于NLM，以三峡重庆库区为例研究分析面源污染的机理，面源污染负荷随时间的变化以及面源负荷受各因素的影响程度等。从硝化、反硝化、矿化、吸附等作用过程中更深层地剖析了面源污染行为；掌握了面源污染物TP、NH3-N、NO3-N的随时间的变化规律及降雨量、土壤有机成分、土壤气温、总辐照等因子对各污染物负荷的影响及相互关系。总之，NLM为开展面源污染负荷及影响因素的研究提供了科学依据。     

水资源对区域社会经济发展的支撑能力研究--以济南市长清区为例

水资源支撑能力即在当前技术水平条件下,某一区域水资源对区域发展总体目标的支撑限度.该文以系统动力学理论为指导,对长清区水资源的支撑能力进行了分析.拟定出在水资源约束条件下的三个区域发展方案,即:(1)水资源投资控制;(2)工业增长速度控制;(3)污水回用率控制.仿真结果分析表明,以方案(3)的适用性较好,在水资源投资不断增加,投资比例趋于合理的情况下,水资源对社会经济发展的支撑能力将由2002年的0.98提高天2010年的1.0.     

MODIFICATION OF NEILL'S EQUATION FOR STORM‐TIDE DESIGN FLOW ANALYSIS1

ABSTRACT: Design of bridges spanning tidal estuaries or bays requires an estimate of peak tidal flow. One common approach to estimating these flows (Neill's method) uses a first‐order approximation of uniform water surface rise in the water body. For larger water bodies, the assumptions of this method are decreasingly valid. This study develops a simple modification that accounts for the spatial variability in the response of tidal waterways to storm surge flows. The peak tidal flow predicted by Neill's equation is compared to the peak flow determined by numerical simulation of estuaries with simple geometries, ranging from 1 to 25 km in length, using the U.S. Army Corps of Engineers one‐dimensional unsteady flow model, UNET. Results indicate that, under certain conditions, it may be appropriate to apply a correction factor to the peak discharge and peak velocity predicted by Neill's method. An algorithm, developed by nonlinear regression, is presented for computing correction factors based on estuary length, shape, mean depth, and storm‐tide characteristics. The results should permit the design of more reliable, cost‐effective structures by providing more realistic estimates of the potential for bridge scour in tidal waterways, especially when a full solution of the unsteady flow equations is impractical.     

Archaeological management design

Like many environmental sciences, archaeology has its origins in an academic discipline. But organizational models derived from scholarly research are not adequate for large scale archaeological salvage excavations that must be carried out by many archaeologists within a short time. A non-traditional organization model, developed to parallel the organization of project engineering, is more responsive and can be designed to preserve the most significant traditional archaeological objectives.     

Reconstruction of the methane fluxes from the west Siberia gas fields by the 3D regional chemical transport model

A 3D mesoscale tropospheric photochemical transport model of high spatial resolution has been developed and used for assessment of the methane concentrations and methane emission in the West Siberian region of intensive mining of natural gas and oil deposits. The model is validated against the measurements of methane concentration at the surface and in the lower troposphere collected during July 1993 and June 1996 experiments. Comparison of the simulated and observed concentrations allowed to estimate that during the above periods the average natural methane fluxes were as high as 65 mg m⁻² day⁻¹. The anthropogenic methane fluxes (leakage from gas deposits) integrated over model domain during the same time period were about 20% of the total methane emission from relevant areas.     

Nest selection by snow petrels Pagodroma nivea in East Antarctica: Validating predictive habitat selection models at the continental scale

Little is known on the factors controlling distribution and abundance of snow petrels in Antarctica. Studying habitat selection through modeling may provide useful information on the relationships between this species and its environment, especially relevant in a climate change context, where habitat availability may change. Validating the predictive capability of habitat selection models with independent data is a vital step in assessing the performance of such models and their potential for predicting species’ distribution in poorly documented areas.From the results of ground surveys conducted in the Casey region (2002–2003, Wilkes Land, East Antarctica), habitat selection models based on a dataset of 4000 nests were created to predict the nesting distribution of snow petrels as a function of topography and substrate. In this study, the Casey models were tested at Mawson, 3800 km away from Casey. The location and characteristics of approximately 7700 snow petrel nests were collected during ground surveys (Summer 2004–2005). Using GIS, predictive maps of nest distribution were produced for the Mawson region with the models derived from the Casey datasets and predictions were compared to the observed data. Models performance was assessed using classification matrixes and Receiver operating characteristic (ROC) curves. Overall correct classification rates for the Casey models varied from 57% to 90%. However, two geomorphologically different sub-regions (coastal islands and inland mountains) were clearly distinguished in terms of habitat selection by Casey model predictions but also by the specific variations in coefficients of terms in new models, derived from the Mawson data sets. Observed variations in the snow petrel aggregations were found to be related to local habitat availability.We discuss the applicability of various types of models (GLM, CT) and investigate the effect of scale on the prediction of snow petrel habitats. While the Casey models created with data collected at the nest scale did not perform well at Mawson due to regional variations in nest micro-characteristics, the predictive performance of models created with data compiled at a coarser scale (habitat units) was satisfactory. Substrate type was the most robust predictor of nest presence between Casey and Mawson. This study demonstrate that it is possible to predict at the large scale the presence of snow petrel nests based on simple predictors such as topography and substrate, which can be obtained from aerial photography. Such methodologies have valuable applications in the management and conservation of this top predator and associated resources and may be applied to other Antarctic, Sub-Antarctic and lower latitudes species and in a variety of habitats.     

Comparing environmental influences on coral bleaching across and within species using clustered binomial regression

Differential susceptibility among reef-building coral species can lead to community shifts and loss of diversity as a result of temperature-induced mass bleaching events. We evaluate environmental influences on coral colony bleaching over an 8-year period in the Florida Keys, USA. Clustered binomial regression is used to develop models incorporating taxon-specific responses to the environment in order to identify conditions and species for which bleaching is likely to be severe. By building three separate models incorporating environment, community composition, and taxon-specific responses to environment, we show observed prevalence of bleaching reflects an interaction between community composition and local environmental conditions. Environmental variables, including elevated sea temperature, solar radiation, and reef depth, explained 90% and 78% of variability in colony bleaching across space and time, respectively. The effects of environmental variables were only partially explained (33% of variability) by corresponding differences in community composition. Taxon-specific models indicated individual coral species responded differently to local environmental conditions and had different sensitivities to temperature-induced bleaching. For many coral species, but not all, bleaching was exacerbated by high solar radiation. A 25% reduction in the probability of bleaching in shallow locations for one species may reflect an ability to acclimatize to local conditions. Overall, model results indicate predictions of coral bleaching require knowledge of not just the environmental conditions or community composition, but the responses of individual species to the environment. Model development provides a useful tool for coral reef management by quantifying the influence of the local environment on individual species bleaching sensitivities, identifying susceptible species, and predicting the likelihood of mass bleaching events with changing environmental conditions.     

ANAFORE: A stand-scale process-based forest model that includes wood tissue development and labile carbon storage in trees

A stand-scale forest model has been developed that dynamically simulates, besides carbon (C) and water (H₂O) fluxes, wood tissue development from physiological principles. The forest stand is described as consisting of trees of different size cohorts (for example, dominant, co-dominant and suppressed trees), either of the same or of different species (deciduous or coniferous). Half-hourly C and H₂O fluxes are modeled at the leaf, tree and stand level. In addition to total growth and yield, the model simulates the daily evolution of tracheid or vessel biomass and radius, parenchyma and branch development. From these data early and latewood biomass, wood tissue composition and density are calculated. Simulation of the labile C stored in the living tissues allows for simulation of trans-seasonal and trans-yearly effects, and improved simulations of long-term effects of environmental stresses on growth. A sensitivity analysis was performed to indicate the main parameters influencing simulated stem growth and wood quality at the tree and stand level. Case studies were performed for a temperate pine forest to illustrate the main model functioning and, more in particular, the simulation of the wood quality. The results indicate that the ANAFORE model is a useful tool for simultaneous analyses of wood quality development and forest ecosystem functioning.     

湟水河小流域地下水脆弱性评价

湟水河地处西北高原干旱地区,针对其流域地下水的特点,选取包气带介质、水位埋深、含水层介质、含水层厚度、净补给量和地形坡度共6个指标并运用三标度AHP法为各个指标赋予权重,构建了改进的DRASTIC模型。运用改进DRASTIC模型对湟水河的小流域范围的地下水脆弱性进行了评价。结果表明,湟水河沿岸的部分地区和西堡村附近地下水脆弱性高,地下水易受到污染。与传统DRASTIC模型相比,改进模型与实际情况更加吻合。