废气排放量灰色建模新法初探

在研究和指出灰色建模常规方法理论缺陷的基础上,结合某化工厂废气排放预测实践,初步探讨和提出了将原始动态数据序列经过线性或指数变换,采用黄金分割法选取背景值的直接建模方法。初步研究表明,该方法较灰色建模常规方法在改善序列随机性、提高预测精度等方面,具有较明显的优越性和合理性,拓宽了GM(1,1)模型在环境科学领域中的应用范围。      

Characterization of a medium velocity deluge nozzle for offshore installations

It is important to study the characteristics of the nozzle of the deluge spray to comply with the standards developed by the petroleum industry for offshore installations in Norway. Due to the stochastic nature of the decomposition processes and geometrical features within the nozzle, the deluge spray has a complex flow field. Since the flow field determines the performance of the spray, the present study performs an experimental characterization of a medium velocity deluge nozzle for validation of computational fluid dynamics (CFD) models. The experiment was conducted for a maximum supply water pressure of 8.0 bar (g), which is identical to the operating pressures of offshore installations. Formerly, characterization studies of deluge or sprinkler spray were mostly targeted on residential usage with lower supply water pressures. I utilized a laser-based shadow imaging system to capture high-speed images, which were later processed in MATLAB. A linear patternator was used to validate the results of the shadow imaging technique. The geometrical features of the deluge nozzle played an important role in determining the characteristics of the spray. In addition, the supply water pressure significantly affected the size and velocity distributions of the droplets, applied density (volume flux), and area coverage. However, the Sauter mean diameter did not vary significantly with the azimuthal or radial position of the droplet within the inner region of the spray. The measurements obtained in this study can be used to estimate the extinguishing efficiency of a deluge system for offshore installations with elevated supply water pressures. Deviations between measurements with shadow imaging and patternator technique are discussed and discrepancies are discussed.     

Optimizing carbon sequestration in commercial forests by integrating carbon management objectives in wood supply modeling

This paper provides a methodology for generating forest management plans, which explicitly maximize carbon (C) sequestration at the forest-landscape level. This paper takes advantage of concepts first presented in a paper by Meng et al. (2003; Mitigation Adaptation Strategies Global Change 8:371–403) by integrating C-sequestration objective functions in existing wood supply models. Carbon-stock calculations performed in Woodstock^TM (RemSoft Inc.) are based on C yields generated from volume table data obtained from local Forest Development Survey plots and a series of wood volume-to-C content conversion factors specified in von Mirbach (2000). The approach is used to investigate the impact of three demonstration forest-management scenarios on the C budget in a 110,000 ha forest in south-central New Brunswick, Canada. Explicit demonstration scenarios addressed include (1) maximizing timber extraction either by clearcut or selection harvesting for greatest revenue generation, (2) maximizing total C storage in the forest landscape and in wood products generated from harvesting, and (3) maximizing C storage together with revenue generation. The level of clearcut harvesting was greatest for scenario 1 (≥15 × 10⁴ m³ of wood and ≥943 ha of land per harvesting period), and least for scenario 2 (=0 m³ per harvesting period) where selection harvesting dominated. Because softwood saw logs were worth more than pulpwood ($60 m⁻³ vs. $40 m⁻³) and were strategic to the long-term storage of C, the production of softwood saw logs exceeded the production of pulpwood in all scenarios. Selection harvesting was generally the preferred harvesting method across scenarios. Only in scenario 1 did levels of clearcut harvesting occasionally exceed those of selection harvesting, mainly in the removal of old, dilapidated stands early in the simulation (i.e., during periods 1 through 3). Scenario 2 provided the greatest total C-storage increase over 80 years (i.e., 14 × 10⁶ Mg C, or roughly 264 Mg ha⁻¹) at a cost of $111 per Mg C due to lost revenues. Scenarios 3 and 1 produced reduced storage rates of roughly 9 × 10⁶ Mg C and 3 × 10⁶ Mg C, respectively; about 64% and 22% of the total, 80-year C storage calculated in scenario 2. The bulk of the C in scenario 2 was stored in the forest, amounting to about 76% of the total C sequestered.     

作物产量决定因子分析

应用主成分分析,将影响水稻产量的一系列因子概括为四个主要因子:(1)土壤肥力因子,(2)栽插措施因子,(3)田间管理因子;(4)产量性状因子。将上述因子作为自变量,水稻产量作为因变量,进行逐步回归分析,得到一个产量预测模型(R=0.962)。根据各变量的回归系数大小,可以得到产量决定因子对产量影响的大小顺序为,田间管理因子>土壤肥力因子。栽插措施因子和产量性状因子对水稻产量的影响未达显著水平。 文中所述的分析方法适用于在不同的土壤条件下预测作物产量的潜在变化。     

Impacts of some meteorological parameters on SO2 and TSP concentrations in Erzurum, Turkey

The air pollution is the one of the most important environmental problems in Erzurum, situated in the eastern of Turkey, during winter periods. The unfavorable climate as well as the city’s topography, and inappropriate urbanization cause serious air pollution problems. The air pollutant concentrations in a city have a close relationship with its meteorological parameters. In the present study, the relationship between daily average total suspended particulate (TSP) and sulphur dioxide (SO₂) concentrations with meteorological factors, such as wind speed, temperature, relative humidity, pressure and precipitation, in 1995–2002 winter seasons was statistically analyzed using the stepwise multiple linear regression analysis. According to the results obtained through analysis, higher TSP and SO₂ concentrations are strongly related to colder temperatures, lower wind speed, higher pressure system and weakly lower precipitation and higher relative humidity. The statistical models of SO₂ and TSP including meteorological parameters gave R² of 0.74 and 0.88, respectively. Furthermore, the correlation between the previous day’s SO₂, TSP concentrations and actual concentrations of these pollutants on that day was investigated and found as 0.84 and 0.53, respectively. In order to develop this model, previous day’s SO₂ and TSP concentrations were added to the equations. The new model for SO₂ enhanced considerably (R² = 0.92), but for TSP new model was not enhanced (R² = 0.89).     

溶液中阴离子对UV/H2O2降解十二烷基苯磺酸钠的影响及其机理

研究了UV/H2O2工艺对十二烷基苯磺酸钠(LAS)的去除效果、溶液中阴离子对LAS降解的影响及机理.结果表明:UV/H2O2工艺可以有效地去除水中的LAS;在H2O2投加量为8 mg/L,14 W低压汞灯照射下,LAS在蒸馏水和自来水中的反应速率常数分别为0.018 0 、0.012 2 min-1;NO-3、Cl-、SO2-4和HCO-3对LAS光降解有抑制作用,当该4种离子摩尔浓度均分别为5、10、15 mmol/L时,对LAS光降解的抑制程度为HCO-3》NO-3》Cl-》SO2-4,且随着离子摩尔浓度的增大,抑制作用增强;LAS在自来水中的反应速率常数低于在蒸馏水中的反应速率常数是由于水中多种离子影响的结果.     

Modelling Ecological Presence–absence Data along an Environmental Gradient: Threshold Levels of the Environment

A methodology for estimating environmental thresholds of binary presence–absence data is presented where the level of the threshold is parameterised. Presence–absence data is fitted to three complementary different models: an independent null-model, a monotonically increasing or decreasing model, and an optimum model. The range of the three models is strictly between zero and one and the models are therefore well suited for modelling presence probabilities. The results of the three models may be combined by using Bayesian model selection methodologies. The proposed methodology is exemplified on observed binary presence–absence data of Bauera rubioides along an elevation gradient. Received: May 2005 / Revised: July 2005 An erratum to this article is available at.     

LAS、AE降解菌的筛选及降解效率的研究

以某合成洗涤剂厂曝气池活性污泥为菌种来源，表面活性剂直链烷基苯磺酸钠（LAS）及脂肪醇聚氧乙烯醚（AE）为唯一碳源进行选择培养，从中分离出5株降解LAS、AE能力强的菌株。根据各菌株菌体形态、染色反应和生理生化反应，分别对5菌株进行了菌种鉴定，并在不同的温度、pH值和供氧的情况下对5株菌株进行培养，研究菌株生长所适宜的环境条件。同时根据LAS、AE对水绵伤害实验，以生物监测的方法对菌株降解LAS、AE的效率进行了研究。     

华东地区公众低碳意识及其影响因素分析研究

基于安吉县、临安市、杭州市和上海市4个地区公众低碳意识的调研数据,对不同性别、不同年龄、不同学历、不同月收入水平和不同居住地公众的低碳意识(低碳认知、低碳消费、低碳践行、低碳责任)进行了单因素方差分析,在此基础上,利用广义线性模型(GLM)对影响公众低碳意识的因素进行了实证分析.分析结果表明,公众的学历和居住地对公众低碳意识有显著的影响.基于分析结果,最后提出增强公众低碳意识、促进社会低碳发展的建议.     

Depositional history of sedimentary linear alkylbenzenes (LABs) in a large South American industrial coastal area (Santos Estuary, Southeastern Brazil)

This paper reports the reconstruction of the contamination history of a large South American industrial coastal area (Santos Estuary, Brazil) using linear alkylbenzenes (LABs). Three sediment cores were dated by ¹³⁷Cs. Concentrations in surficial layers were comparable to the midrange concentrations reported for coastal sediments worldwide. LAB concentrations increased towards the surface, indicating increased waste discharges into the estuary in recent decades. The highest concentration values occurred in the early 1970s, a time of intense industrial activity and marked population growth. The decreased LAB concentration, in the late 1970s was assumed to be the result of the world oil crisis. Treatment of industrial effluents, which began in 1984, was represented by decreased LAB levels. Microbial degradation of LABs may be more intense in the industrial area sediments. The results show that industrial and domestic waste discharges are a historical problem in the area.