大气污染物最大落地浓度计算方法的比较

大气环境影响评价工作中，采用有风点源扩散模式定量预测大气污染物的最大落地浓度，通常有轴线法、常数法和非常数法这三种计算方法。本文通过实例对上述三种计算方法进行比较分析，明确了各自的适用范围，其中以轴线法的应用最为全面。     

我国表面处理产业现状及集群化发展对策研究

本文介绍了我国表面处理业发展现状、特点及普遍存在的问题，探讨了以专业园区（表面处理工业园）的形式实施表面处理行业集群化发展的必要性和措施，提出将涉及表面处理工艺的企业纳入园区统一管理，对规范表面处理行业的几个基本要素，即运营模式、收费模式等进行了分析。     

采空区对地表稳定性的影响

为了考虑采矿空区对地表拟建建筑物的影响,采用先进的ANSYS大型有限元计算程序,计算了某采矿空区对地表稳定性的影响.所得结果不仅可以为拟建结构提供必要的地表变形参数,而且为认识采矿空区地表变形机理提供了技术思路.     

"地球表层"再讨论

对"地球表层概念"的界定与发展和基于新概念的地球表层系统(结构)等进行了综合讨论和阐述;定义了地球表层概念的内涵,提出:地球表层是指地表和近地表各圈层相互作用和渗透的地球部分,是地球上部多态(固、液、气、生物和有机态)物质相互渗透、交融并不断进行物能交换、转化和作用而结合形成的具有内部协同性和一定系统结构的有机整体,是地球生物的生存环境和地表生态系统发生、发展和演化的基础;进一步确立了地球表层的空间位置和范围(外延),即包括地球表面上下的岩石圈、水圈、大气圈、生物圈和物理(能量)场及其相关作用在内的地球空间,其下界是软流圈(以软流圈为过渡层),上界为大气圈最外层,至少应包括磁层在内;岩石圈以下的地幔和地核与大气圈以外的宇宙空间均为地球表层的环境.     

南昌市环境空气质量分析和控制

利用多年的环境监测数据,分析南昌市环境空气中主要污染物尘类、二氧化硫和氮氧化物产生的原因,并提出有效控制上述污染物的具体措施。     

城郊旅游的潜在市场特征及产品开发--以合肥市为例

城市郊区已成为旅游的热点区域,合肥市对行政区域进行划分后,正着手大力开发城郊旅游.为了使合肥城郊旅游业的发展更具科学性,在实地调查基础上,分析了合肥城郊旅游潜在的市场特征,得出其城郊旅游开发市场潜力巨大;在分析外来旅游者及市民的城郊旅游意向基础上探讨了合肥城郊旅游产品开发,认为新城郊区旅游功能可定位为水上休闲度假娱乐中心和生态农业观光园区;最后提出合肥城郊旅游科学开发的几点建议.     

IMPLICATIONS OF ON‐GROUND NITROGEN LOADING AND SOIL TRANSFORMATIONS ON GROUND WATER QUALITY MANAGEMENT1

ABSTRACT: This paper presents a modeling approach based on a geographic information system (GIS) to estimate the variability of on‐ground nitrogen loading and the corresponding nitrate leaching to ground water. The methodology integrates all point and nonpoint sources of nitrogen, the national land cover database, soil nitrogen transformations, and the uncertainty of key soil and land use‐related parameters to predict the nitrate mass leaching to ground water. The analysis considered 21 different land use classes with information derived from nitrogen sources such as fertilizer and dairy manure applications, dairy lagoons, septic systems, and dry and wet depositions. Simulations were performed at a temporal resolution of one month to capture seasonal trends. The model was applied to a large aquifer of 376 square miles in Washington State that serves more than 100,000 residents with drinking water. The results showed that dairy manure is the main source of nitrogen in the area followed by fertilizers. It was also seen that nitrate leaching is controlled by the recharge rate, and there can be a substantial buildup of soil nitrogen over long periods of time. Uncertainty analysis showed that denitrification rate is the most influential parameter on nitrate leaching. The results showed that combining management alternatives is a successful strategy, especially with the use of nitrification inhibitors. Also, change in the land use pattern has a noticeable impact on nitrate leaching.     

MODELING THE IMPACT OF MULTICOMPONENT VOCs ON GROUND WATER USING THE STEFAN‐MAXWELL EQUATION1

ABSTRACT: Computer programs that model the fate and transport of organic contaminants through porous media typically use Fick's first law to calculate vapor phase diffusion. Fick's first law, however, is limited to the case of a single, dilute species diffusing into a stagnant, high concentration, bulk vapor phase. When dealing with more than one diffusing species and at higher concentrations, the multicomponent coupling effects on vapor phase diffusion and advection of the various constituents become significant. VLEACH, a one‐dimensional finite difference model developed for the U.S. Environmental Protection Agency (USEPA), is typical of the models using Fick's first law to model vapor‐phase diffusion. The VLEACH model was modified to accommodate up to 10 components and to calculate the binary diffusion coefficients for each of the components based on molecular weight, molecular volume, temperature and pressure, and to address the coupling effects on multiple component vapor phase diffusion and its impact on ground water. The resulting model was renamed MC‐CHEMSOIL. At low vapor phase concentrations, MC‐CHEMSOIL predicts identical ground water impacts (dissolved phase loading) to those from VLEACH 2.2a. At higher vapor phase concentrations, however, the relative difference between the models exceeded 20 percent.     

TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1

ABSTRACT: Dynamic linear models (DLM) and seasonal trend decomposition (STL) using local regression, or LOESS, were used to analyze the 50‐year time series of suspended sediment concentrations for the Yadkin River, measured at the U.S. Geological Survey station at Yadkin College, North Carolina. A DLM with constant trend, seasonality, and a log₁₀ streamflow regressor provided the best model to predict monthly mean log₁₀ suspended sediment concentrations, based on the forecast log likelihood. Using DLM, there was evidence (odds approximately 69:1) that the log₁₀ streamflow versus log₁₀ suspended sediment concentration relationship has changed, with an approximate 20 percent increase in the log₁₀ streamflow coefficient over the period 1981 to 1996. However, sediment concentrations in the Yadkin River have decreased during the decade of the 1990s, which has been accompanied by a concomitant increase in streamflow variability. Although STL has been shown to be a versatile trend analysis technique, DLM is shown to be more suitable for discovery and inference of structural changes (trends) in the model coefficient describing the relationship between flow and sediment concentration.