ANALYZING THE IMPACT OF LAND USE ON SEWER SERVICE AREA PLANNING1

ABSTRACT: The density and distribution of land uses has important consequences for the planning of sewerage systems and for the costs of these systems. This paper examines these consequences using a simplified service area model. The model determines the area to be served by a central waste treatment plant, where alternative on-lot disposal systems are also available. The model is applied to various urban area configurations, which are summarized by their total populations and by their population density distributions. Both minimum regional cost and minimum local cost service area configurations are determined. In addition, the sensitivity of the model to the parameters of the cost and population density functions is assessed. It is found that the model is most sensitive to the parameters of the collection cost function.     

SRHSC梁主要设计参数损伤敏感度分析

以型钢高强混凝土(SRHSC)梁为研究对象,结合SRHSC梁受力机理及承载能力的试验研究成果,提出了极限状态下的承载能力是评价梁力学性能的关键指标,将损伤前后梁正截面抗弯承载力之比和斜截面抗剪承载力之比的均值作为自变量,给出了SRHSC梁损伤表征函数,并借助"预定损伤法",揭示了主要设计参数对SRHSC梁损伤演化的影响规律。研究成果将为建立地震激励下SRHSC框架结构楼层损伤模型提供理论和数据支持。     

落石冲击作用下架设油气管道响应分析

针对影响油气管道安全运营的落石冲击问题,基于弹塑性力学、Cowper-Symonds本构模型和有限元方法,建立了球形落石冲击油气管道的计算模型,对管道动态响应过程进行了数值模拟。对冲击速度、落石半径、管道内压力和落石冲击位置进行了参数敏感性分析,研究了各参数对管道冲击变形的影响规律。结果表明:落石的冲击能量主要用于管道塑性变形;冲击过程中,落石与管道的接触区域由初始的椭圆斑逐渐变成了椭圆环;管道塑性变形随着冲击速度和落石半径的增大而增大,随内压和落石偏移度的增大而减小。该研究工作为油气管道的安全评价及防护工程的设计提供了参考依据,对保障油气安全运输具有重要的工程意义。     

Modeling Streamflow and Water Quality Sensitivity to Climate Change and Urban Development in 20 U.S. Watersheds

Watershed modeling in 20 large, United States (U.S.) watersheds addresses gaps in our knowledge of streamflow, nutrient (nitrogen and phosphorus), and sediment loading sensitivity to mid‐21st Century climate change and urban/residential development scenarios. Use of a consistent methodology facilitates regional scale comparisons across the study watersheds. Simulations use the Soil and Water Assessment Tool. Climate change scenarios are from the North American Regional Climate Change Assessment Program dynamically downscaled climate model output. Urban and residential development scenarios are from U.S. Environmental Protection Agency's Integrated Climate and Land Use Scenarios project. Simulations provide a plausible set of streamflow and water quality responses to mid‐21st Century climate change across the U.S. Simulated changes show a general pattern of decreasing streamflow volume in the central Rockies and Southwest, and increases on the East Coast and Northern Plains. Changes in pollutant loads follow a similar pattern but with increased variability. Ensemble mean results suggest that by the mid‐21st Century, statistically significant changes in streamflow and total suspended solids loads (relative to baseline conditions) are possible in roughly 30‐40% of study watersheds. These proportions increase to around 60% for total phosphorus and total nitrogen loads. Projected urban/residential development, and watershed responses to development, are small at the large spatial scale of modeling in this study.     

应用概率物种敏感度分布法研究太湖重金属水生生物水质基准

目前广泛使用的水质基准推导方法—物种敏感度分布法存在曲线拟合模型不确定、曲线拟合效果不佳、种内差异欠考虑、基准值不准确等诸多问题,概率物种敏感度分布法可有效解决上述问题。应用概率物种敏感度分布法构建了太湖水体中5种重金属Ag、Pb、Cd、Hg和Zn的概率物种敏感度分布曲线,在此基础上得到了保护水生生物的急性水质基准分别为1.079μg·L~(-1)、637.973μg·L~(-1)、19.465μg·L~(-1)、8.729μg·L~(-1)和105.506μg·L~(-1),慢性水质基准分别为0.108μg·L~(-1)、63.797μg·L~(-1)、1.947μg·L~(-1)、2.340μg·L~(-1)和52.753μg·L~(-1);不同类群间生物对重金属的敏感度存在差异,不同重金属对同一类群生物的毒性也存在差异;通过与国内外已有的重金属水质基准值比较,发现水质基准具有明显的区域性,目前基于国外水质基准或我国整体水域特点来制定的太湖水质标准,往往造成对太湖水生生物欠保护或过保护的状况。     

安徽省土地利用变化下的生态敏感性时空规律

土地利用变化过程中生态敏感性的研究有利于土地利用的科学管理和健康长效的城市化发展。选择安徽省为研究区域,通过分析土地利用变化对生态系统的敏感性的影响机制,构建出基于弹性概念的生态敏感性指数模型,并利用2002~2011年安徽省的土地利用变更数据,对其10年的生态敏感性的时空变化规律进行研究。结果表明:(1)2002~2011年,安徽省土地利用综合强度由2.26增加到2.49,生态服务价值由2.84×10¹²元减少到2.75×10¹²元,两者呈现出很强的负相关,且安徽省17个地级市的土地利用综合强度与生态服务价值也均呈现负相关关系;(2)安徽省土地利用变化下的生态敏感性指数由2003年的2.26上升到2011年的2.49,在研究期内均属于低敏感性,表明安徽省整个生态系统受其土地利用变化的影响程度不是很强烈,能够适应目前城市化发展的速度和强度;(3)安徽省由2003年的16个生态系统低敏感或不敏感市(占全省总面积的92.97%)减少到2011年的12个低敏感市(占全省总面积的67.06%),表明人类活动对生态系统已经造成了一定的影响。     

基于流域演化的泥石流敏感性分析

基于泥石流来源于某些处于特殊演化阶段的分支小流域的理论,分析了面积高程曲线及其参数与泥石流活动的关系。面积高程曲线积分值S表征流域内松散固体物质量,S/2对应的相对高差比值K表征流域源地面积在不同高程的分布,以S和K为参数提出泥石流敏感性分析思路。针对汶川县主要公路(都汶公路和省道303)沿线泥石流敏感性分析,在Arcgis、Matlab等软件的支持下,基于震前1:50 000地形数据,计算了研究区泥石流流域的S和K。根据计算结果,初步判定了各流域的地貌发育阶段,以及流域源地汇水区的高程位置。并根据震后泥石流实际活动情况,对于S小于0.5但又属于震后频发型,或者S值大于0.5但其面积较大且分支较多泥石流沟,进行了次一级子流域的面积高程值计算,判定其易发生泥石流具体源地。最后,根据流域面积高程值S得出了研究区泥石流敏感性分级图,分析结果基本反应了地貌演化对泥石流发生能力的潜在影响。     

Feasibility of metabolic parameter estimation in pharmacokinetic models of carbon tetrachloride exposure in rats1

Carbon tetrachloride (CCl₄) is a toxic chemical that was once used in degreasers and detergents, and some remnants of the chemical may be present in the water supply. Physiologically-based pharmacokinetic (PBPK) modeling can assist in understanding resulting internal doses of CCl₄ after exposure, but the pharmacokinetic parameters describing the metabolism of CCl₄ are not well characterized. The goal of this study was to provide insights into how to more accurately estimate these values in rats using PBPK modeling and data from previous studies. Three different PBPK models were constructed to describe CCl₄ exposure in rats via inhalation, oral ingestion, and venous injection. Each of these models was compared to data, and sensitivity analysis was performed for each model to determine whether the available data could be used to accurately determine the metabolic parameters of interest. These parameter sensitivities were so low that optimization to the available data yielded physiologically unrealistic results. Model sensitivities were analyzed for different doses and routes of exposure in order to find experimental conditions that would allow for greater identifiability of the metabolic parameters. Data were simulated from these models at optimal conditions with varying levels of noise from a normal distribution. Optimizations were then performed to confirm that the original values could be obtained. The experiments developed are left as suggestions for investigators who wish to further pursue estimating these metabolic parameters.     

农村生活污水处理设施优先控制区域识别与监管策略

选取嘉兴市秀洲区和海宁市为研究对象,以乡镇区划为研究单元,采用综合源强估算法和GIS软件,对处理设施的氨氮（NH₃-N）、总磷（TP）、化学需氧量（COD）排放强度进行定量估算和空间分析.结果表明,秀洲区处理设施的NH₃-N和COD排放强度高于海宁市,而TP排放强度与海宁市差不多.秀洲区内,洪合镇各污染物的排放强度均最高;海宁市内,盐官镇NH₃-N排放强度最高,许村镇TP和COD排放强度最高.采用因子分析法和加权指数法计算排污权重,再结合生态敏感性评价和环境功能区划,筛选出运维和监管优先控制区.秀洲区内,洪合镇、王江泾镇、油车港镇被划分为优先控制区,该优先控制区内处理设施数量占比27.87%,排污权重占比72.42%,通过重点监管17.66%的设施,可监管秀洲区59.98%的污染物排放.海宁市内,长安镇、许村镇、海洲街道、盐官镇、袁花镇被划分为优先控制区,该优先控制区内设施数量占比69.10%,排污权重占比71.23%,通过重点监管16.85%的设施,可监管海宁市43.54%的污染物排放.研究结果可为提高设施的运维监管效率提供技术支撑.     

基于PMF模型的土壤重金属源解析中变量敏感性研究

为探究应用受体模型对土壤污染物进行源解析,输入变量对模型运行及其结果的影响,以乐安河中上游地区土壤重金属调查数据作为典型受体模型（PMF模型）的输入数据集,并在PMF模型基础方案运行结果的基础上,采用局部敏感性分析法来探讨输入变量变化对模型诊断及源识别结果的影响.结果表明：6因子数情景是研究区土壤重金属源解析PMF模型最佳运行结果;土壤中Cu、Mo、Na₂O、As、Mn和Cd等参数属于敏感变量,这些变量均为每个因子中的主要载荷元素,即每个源的特征污染物;不同变量的敏感性有较大差异,Cu、Mo的总敏感性最大,分别为12.1,8.2,大于其他输入变量的敏感性.因此,在应用PMF模型进行源解析时,特征污染物是敏感性较强的变量,其数据质量的优劣是影响源解析结果可靠性的重要因素.