信息技术支持下的环境决策支持系统开发研究

ＧＩＳ、ＲＳ、ＧＰＳ、ＥＳ等技术已在环保领域得到大量应用,但大多只能提供低层次的辅助决策功能,为支持环境领域的中高层决策,本文提出了环境决策支持系统（ＥＤＳＳ）的建设。文中介绍了环境系统的特点,ＧＩＳ、ＲＳ、ＥＳ技术特点和其对ＥＤＳＳ的支持,阐述了当前软件技术和ＥＤＳＳ的开发模型,指出利用组件对象模型（ＣＯＭ）技术进行ＧＩＳ、ＲＳ、ＥＳ系统集成,是开发ＥＤＳＳ的简洁、实用的方案。最后介绍了本模型的简单应用过程。     

固相萃取技术在水体有机物分析中的应用

本文简述了固相萃取技术（ＳＰＥ）的原理、方法及特点,阐述了ＳＰＥ和气相色谱（ＧＣ）在线与离线两种联用技术应用于水样中有机化合物的分析,并着重介绍了ＳＰＥＧＣ应用于分析水环境中痕量多氯有机化合物,包括多氯联苯化合物（ＰＣＢｓ）和有机氯农药（ＯＣＰｓ）的方法进展情况     

有机金属化合物形态分析

本文对有机金属化合物形态分析的发展做了简单介绍,从本学科出发提出了有机金属化合物形态分析的概念和任务。分析了有机金属化合物形态分析常用的几种方法,包括ＧＣ－ＡＡＳ,ＧＣ－ＭＩＰ－ＡＥＳ,ＧＣ－ＦＰＤ和ＧＣ－ＭＳ等的特点,对样品的采集,贮存和预处理方法以及形态分析中的质量控制进行了讨论。     

酸化模型及其发展趋势评述

本文将酸化模型分为指标评价模型、经验酸化模型和以湖泊－流域为基础的机理模型三大类。概述了几个典型的酸化模型的结构、对参数和过程的处理方法、存在的问题和应用范围并介绍了它们的一些具体应用。还以ＭＡＧＩＣ模型为例说明了酸化模型的发展及其趋势。作为模型的一个有机组成部分,本文还阐述了酸化模型的不确定性分析。     

销毁含多氯联苯废弃物焚烧炉的二噁、类二噁和多氯联苯排放

我国正在研制专用于销毁高浓度多氯联苯（ＰＣＢｓ）的焚烧炉,主要处理废旧的含（ＰＣＢｓ）的电力电容器和变压器,应用可靠准确的监测方法测定了试验性焚烧炉渣、烟灰排气和废水中的二口恶口英（ｄｉｏｘｉｎｓ）,类二口恶口英多氯联苯（ｄｉｏｘｉｎｌｉｋｅＰＣＢｓ）和ＰＣＢｓ含量,结果表明该炉试烧高浓度ＰＣＢｓ时,焚毁率可以达到９９．９９９９％,炉渣中的２,３,７,８ＴＣＤＤ毒性当量为８７．８６ｐｇＴＥＱ／ｇ,烟灰中残留二口恶口英和类二口恶口英的总２,３,７,８ＴＣＤＤ毒性当量为４７．２３ｎｇＴＥＱ／ｇ．     

基于AnnAGNPS模型的灞河流域非点源污染模拟研究

以灞河流域下属子流域为研究对象,运用AnnAGNPS模型对流域内非点源污染特征进行了定量分析,并以非点源污染严重的灞河中游子流域为例,提出不同的非点源污染控制方案。结果表明:AnnAGNPS模型对径流模拟效果总体良好,率定期模拟相对误差(Re)基本在-10%～0,模拟效率系数(Ens)为0.65,相关系数(R~2)为0.81,验证期模拟Re基本在-50%～0,Ens为0.68,R~2为0.71。利用5次降雨事件数据考察AnnAGNPS模型对TN、TP污染负荷的拟合精度,AnnAGNPS模型对4次降雨的TN污染负荷模拟Re控制在-13%～5%,3次TP污染负荷模拟Re维持在-12%～40%;在非点源污染控制方案中,耕地变换成林地对TN、TP污染负荷的削减效果非常显著,假设灞河中游小流域耕地变为林地的转变率分别为30%、50%、100%时,TN污染负荷削减28.20%、43.01%、78.23%,TP污染负荷分别削减33.55%、53.94%、66.81%。     

影响平板式太阳能热水器热效率诸因素的研究

本文根据辐射传热和对流传热理论,利用Ｍａｔｌａｂ 程序结合太阳能热水器本身的尺寸以及与其有关的水和空气的物理弹性详细分析了影响平板式太阳能热水器热效率的因素包括太阳能热水器表面的太阳光辐射的吸收率αｓ 和辐射系数ε,太阳能热水器的水进口温度Ｔｃ,ｉｎ和流量ｍｃ 太阳辐射能力Ｇｓ,,环境大气温度Ｔｅ,大气辐射系数εｓｋｙ 以及太阳能热水器内部的总传热系数Ｕ。分析结果表明较高的太阳照射能力、环境温度和总传热系数有利于提高集热效率,而增加水量和水进口温度、热水器辐射系数和大气辐射系数则有相反的效果。     

基于SWAT模型的流域面源污染模拟影响分析

针对流域面源污染模型往往忽略或简化河道内污染物变化过程的缺陷,探讨了河道水质模型对流域面源污染模拟的影响.以太湖流域浙西区的西苕溪流域为研究对象,选取具有一定物理机制的分布式面源污染模型SWAT模型,分别以激活和不激活其嵌套的河道水质模型QUAL2E,即SWAT模型与QUAL2E模型紧密耦合和松散耦合两种情况进行模拟,并比较了对TN及TP的模拟效果.结果表明,丰水期与平水期的模拟结果并没有显著差别;但在枯水期,由于水量较小,河道内污染物变化过程对模拟结果影响较大.同时引入QUAL2K模型,分析认为改进河道水质模型对提高SWAT模型模拟精度有一定的效果.     

应用TOXI模型进行重金属在河流中迁移转化规律的研究

ＴＯＸＩ模型是美国环保局的ＷＡＳＰ（水质分析模拟程序）中的一部分。由于该模型考虑了污染物质在河流中溶解态，颗粒态和底泥态的分布关系，对于模拟重金属在河流中的浓度变化效果较好。为保证计算结果的可靠性，首先应对重金属浓度的衰减变化特性进行研究，本文重点讨论的是重金属在河流中迁移转化的过程，并如何将这一过程用数学公式来进行模拟。     

基于空间信息技术的呼伦湖流域研究

通过对干涉雷达技术任务(SRTM)数据处理,运用土壤与水评价工具(SWAT)模型对呼伦湖整个流域的数字高程模型(DEM)进行水文特征提取,分析流域地形分布情况。呼伦湖全流域面积约为25.6万km2,蒙古国部分约为16.3万km2,约占总面积的63.7%。坡度为0～2.0°的地形主要分布在中国境内的呼伦湖南岸和东岸以及贝尔湖周边的平坦草原上,降雨主要被植被截留和土壤吸收,产汇流条件差;而呼伦湖的主要水源、产汇流条件较好的克鲁伦河和乌尔逊河,其产流区大部分位于蒙古国。2国应加强流域综合管理,合理配置水资源,以保证下游入湖的水量来防止呼伦湖的持续萎缩。     

Estimating erosion in a riverine watershed bayou liberty-tchefuncta river in louisiana

GOAL, SCOPE, BACKGROUND: Sheet erosion from agricultural, forest and urban lands may increase stream sediment loads as well as transport other pollutants that adversely affect water quality, reduce agricultural and forest production, and increase infrastructure maintenance costs. This study uses spatial analysis techniques and a numerical modeling approach to predict areas with the greatest sheet erosion potential given different soils disturbance scenarios. METHODS: A Geographic Information System (GIS) and the Universal Soil Loss Equation (USLE) were used to estimate sheet erosion from 0.64 ha parcels of land within the watershed. The Soil Survey of St. Tammany Parish, Louisiana was digitized, required soil attributes entered into the GIS database, and slope factors determined for each 80 x 80 meter parcel in the watershed. The GIS/USLE model used series-specific erosion K factors, a rainfall factor of 89, and a GIS database of scenario-driven cropping and erosion control practice factors to estimate potential soil loss due to sheet erosion. RESULTS AND DISCUSSION: A general trend of increased potential sheet erosion occurred for all land use categories (urban, agriculture/grasslands, forests) as soil disturbance increases from cropping, logging and construction activities. Modeling indicated that rapidly growing urban areas have the greatest potential for sheet erosion. Evergreen and mixed forests (production forest) had lower sheet erosion potentials; with deciduous forests (mostly riparian) having the least sheet erosion potential. Erosion estimates from construction activities may be overestimated because of the value chosen for the erosion control practice factor. CONCLUSIONS: This study illustrates the ease with which GIS can be integrated with the Universal Soil Loss Equation to identify areas with high sheet erosion potential for large scale management and policy decision making. RECOMMENDATIONS: The GIS/USLE modeling approach used in this study offers a quick and inexpensive tool for estimating sheet erosion within watersheds using publicly available information. This method can quickly identify discrete locations with relatively precise spatial boundaries (approximately 80 meter resolution) that have a high sheet erosion potential as well as areas where management interventions might be appropriate to prevent or ameliorate erosion.     

Simulation of long-term environmental dynamics of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans using the dynamic multimedia environmental fate model and its implication to the time trend analysis of dioxins

Long term environmental fate of polychlorinated dibenzo-p-dioxins (PCDD) and polychlorinated dibenzofurans (PCDF) were studied using the fugacity-based dynamic multimedia environmental fate model. New formulation about soil wind erosion into air was included into the model. Effect of process assumption, sensitivity analysis for parameters, and tentative validation against the measured sediment core analysis was performed. Mass fluxes between compartments were estimated by the dynamic modeling. From the model estimates, major mass fluxes coming from emission source were shown to go to the soil and water through wet/dry deposition, then go to degradation mainly in the soil and sediment. Major mass fluxes of TCDD and OCDD come from the impurities in CNP (Chlornitrofen) and PCP (Pentachlorophenol) directly into the soil. Consideration about multimedia environmental dynamics using the modeled mass fluxes was shown in the discussion.     

Modelling future soil chemistry at a highly polluted forest site at Istebna in Southern Poland using the "SAFE" model

The multi-layer dynamic model SAFE was applied to the forested catchment Istebna (Southern Poland), to study recovery from acidification. Environmental pollution in the area has been historically high. The model uses data from an intensive monitoring plot established in 1999 in a spruce stand, which was planted in 1880. Observations showed that the soil was depleted of base cations. The measured base saturation in 1999 was between 5 and 8% in the different soil layers. Model predictions assuming full implementation of the UNECE 1999 Gothenburg Protocol and present day base cation deposition show that the base saturation will slowly increase to 20% by 2100. Despite large emission reductions, Istebna still suffers from the very high loads of acidifying input during the past decades. Soil recovery depends on future emissions especially on base cation deposition. The recovery will be even slower if the base cation deposition decreases further.     

Approximation and spatial regionalization of rainfall erosivity based on sparse data in a mountainous catchment of the Yangtze River in Central China

In densely populated countries like China, clean water is one of the most challenging issues of prospective politics and environmental planning. Water pollution and eutrophication by excessive input of nitrogen and phosphorous from nonpoint sources is mostly linked to soil erosion from agricultural land. In order to prevent such water pollution by diffuse matter fluxes, knowledge about the extent of soil loss and the spatial distribution of hot spots of soil erosion is essential. In remote areas such as the mountainous regions of the upper and middle reaches of the Yangtze River, rainfall data are scarce. Since rainfall erosivity is one of the key factors in soil erosion modeling, e.g., expressed as R factor in the Revised Universal Soil Loss Equation model, a methodology is needed to spatially determine rainfall erosivity. Our study aims at the approximation and spatial regionalization of rainfall erosivity from sparse data in the large (3,200 km²) and strongly mountainous catchment of the Xiangxi River, a first order tributary to the Yangtze River close to the Three Gorges Dam. As data on rainfall were only obtainable in daily records for one climate station in the central part of the catchment and five stations in its surrounding area, we approximated rainfall erosivity as R factors using regression analysis combined with elevation bands derived from a digital elevation model. The mean annual R factor (R _a) amounts for approximately 5,222 MJ?mm?ha^?1?h^?1?a^?1. With increasing altitudes, R _a rises up to maximum 7,547 MJ?mm ha^?1?h^?1 a^?1 at an altitude of 3,078 m a.s.l. At the outlet of the Xiangxi catchment erosivity is at minimum with approximate R _a?=?1,986 MJ?mm?ha^?1?h^?1?a^?1. The comparison of our results with R factors from high-resolution measurements at comparable study sites close to the Xiangxi catchment shows good consistance and allows us to calculate grid-based R _a as input for a spatially high-resolution and area-specific assessment of soil erosion risk.     

Road traffic impact on urban water quality: a step towards integrated traffic,air and stormwater modelling

Methods for simulating air pollution due to road traffic and the associated effects on stormwater runoff quality in an urban environment are examined with particular emphasis on the integration of the various simulation models into a consistent modelling chain. To that end, the models for traffic, pollutant emissions, atmospheric dispersion and deposition, and stormwater contamination are reviewed. The present study focuses on the implementation of a modelling chain for an actual urban case study, which is the contamination of water runoff by cadmium (Cd), lead (Pb), and zinc (Zn) in the Grigny urban catchment near Paris, France. First, traffic emissions are calculated with traffic inputs using the COPERT4 methodology. Next, the atmospheric dispersion of pollutants is simulated with the Polyphemus line source model and pollutant deposition fluxes in different subcatchment areas are calculated. Finally, the SWMM water quantity and quality model is used to estimate the concentrations of pollutants in stormwater runoff. The simulation results are compared to mass flow rates and concentrations of Cd, Pb and Zn measured at the catchment outlet. The contribution of local traffic to stormwater contamination is estimated to be significant for Pb and, to a lesser extent, for Zn and Cd; however, Pb is most likely overestimated due to outdated emissions factors. The results demonstrate the importance of treating distributed traffic emissions from major roadways explicitly since the impact of these sources on concentrations in the catchment outlet is underestimated when those traffic emissions are spatially averaged over the catchment area.     

Peat soils as a source of lead contamination to upland fluvial systems

Upland peat soils are generally regarded as effective sinks of atmospherically deposited lead. However, the physical process of erosion has the potential to transform peat soils from sinks to sources of lead contamination. Lead input and fluvial lead outputs (dissolved+particulate) were estimated for a contaminated and severely eroding peatland catchment in the southern Pennines, UK. Lead input to the catchment is 30.0+/-6.0gha(-1)a(-1) and the output from the catchment is 317+/-22.4gha(-1)a(-1). Suspended particulate matter accounts for 85% of lead export. Contaminated peat soils of the catchment are a significant source of lead to the fluvial system. This study has demonstrated strong coupling between the physical process of erosion and the mobilization of lead into the fluvial system. The process of peat erosion should therefore be considered when estimating lead outputs from peatland catchments, especially in the context of climate change.     

Frank A. Chambers

Abstract

This work assessed the usefulness of a current air quality model (American Meteorological Society/Environmental Protection Agency Regulatory Model [AERMOD]) for predicting air concentrations and deposition of perfluorooctanoate (PFO) near a manufacturing facility. Air quality models play an important role in providing information for verifying permitting conditions and for exposure assessment purposes. It is important to ensure traditional modeling approaches are applicable to perfluorinated compounds, which are known to have unusual properties. Measured field data were compared with modeling predictions to show that AERMOD adequately located the maximum air concentration in the study area, provided representative or conservative air concentration estimates, and demonstrated bias and scatter not significantly different than that reported for other compounds. Surface soil/grass concentrations resulting from modeled deposition flux also showed acceptable bias and scatter compared with measured concentrations of PFO in soil/grass samples. Errors in predictions of air concentrations or deposition may be best explained by meteorological input uncertainty and conservatism in the PRIME algorithm used to account for building downwash. In general, AERMOD was found to be a useful screening tool for modeling the dispersion and deposition of PFO in air near a manufacturing facility.     

The Solling roof revisited--slow recovery from acidification observed and modeled despite a decade of "clean-rain" treatment

Soil chemistry under the Solling clean-rain roof was simulated using the dynamic multi-layer soil chemistry model SAFE, including sulfate adsorption. Soil was sampled in order to parameterize the pH and sulfate concentration dependent sulfate adsorption isotherm used in SAFE. Modeled soil solution chemistry was compared to the 14 year long time-series of monthly measurements of soil solution data at 10 and 100cm depth. The deposition of N and S under the roof has been reduced by 68% and 53%, respectively, compared to the surrounding area. Despite this the soil solution concentrations of sulfate are still high (a median of 420mumol(c)/L at 100cm depth between 2000 and 2002) and the soil base saturation low (approximately 3% in the whole profile in 1998). Sulfate adsorption is an important process in Solling. The soil capacity to adsorb sulfate is large, the modeled adsorbed pool in 2003 down to 100cm was 1030kg S/ha, and the measured sulfate concentration is high, due to release of adsorbed sulfate. The addition of sulfate adsorption improved the modeled sulfate dynamics although the model still slightly underestimated the sulfate concentration at 100cm. Model predictions show no recovery, based on the criteria of Bc/Al ratio above 1 in the rooting zone, before the year 2050, independent of future deposition cuts.     

Recovery of Soil Water,Groundwater, and Streamwater From Acidification at the Swedish Integrated Monitoring Catchments

Recovery from anthropogenic acidification in streams and lakes is well documented across the northern hemisphere. In this study, we use 1996–2009 data from the four Swedish Integrated Monitoring catchments to evaluate how the declining sulfur deposition has affected sulfate, pH, acid neutralizing capacity, ionic strength, aluminum, and dissolved organic carbon in soil water, groundwater and runoff. Differences in recovery rates between catchments, between recharge and discharge areas and between soil water and groundwater are assessed. At the IM sites, atmospheric deposition is the main human impact. The chemical trends were weakly correlated to the sulfur deposition decline. Other factors, such as marine influence and catchment features, seem to be as important. Except for pH and DOC, soil water and groundwater showed similar trends. Discharge areas acted as buffers, dampening the trends in streamwater. Further monitoring and modeling of these hydraulically active sites should be encouraged.     

Recovery from acidification in central Europe--observed and predicted changes of soil and streamwater chemistry in the Lysina catchment,Czech Republic

The geochemical model MAGIC was applied to estimate streamwater and soil chemistry between 1851 and 2030 at the Lysina catchment, an acid-sensitive granitic catchment covered by planted Norway spruce monoculture in the western Czech Republic. The total deposition of sulfur to the catchment was 164 meq m(-2) in 1991, but had declined to 52 meq m(-2) by 2000. Although SO2 emissions in the region declined by 90% compared to the 1980s, acidification recovery was small within the period 1990-2000. Stream pH increased only slightly (from 3.92 to 4.07), although SO4 concentration declined sharply from 568 microeq l(-1) (1990) to 232 microeq l(-1) (2000). Organic acids played an important role in streamwater buffering. According to the MAGIC prediction using deposition measured in 1999-2000, streamwater pH will increase to 4.3 and soil base saturation will increase to 6.2% by 2030 (from 5.7% in 2002). Pre-industrial pH was estimated to be 5.5 and soil base saturation 24.7%. The loss of base cations (Ca, Mg, Na, K) was caused predominantly by atmospheric acidity, but intensive forestry was responsible for approximately one third of the net base cation loss via accumulation in harvested biomass. Severely damaged sites, under continued pressure from forestry, will not return to a good environmental status in the near future (if ever) when the acid deposition input is only partially reduced.