Air Quality Monitoring and Management in Lisbon

The environmental decision-making process is related with the interpretation of data both in spatial and temporal dimensions. This paper presents a methodology that integrates the time-space framework of air quality data to infer the temporal pattern and spatial variability that could be interpreted for environmental decision purposes. Variograms that accommodate time and space lags were used for the analysis and proved to be effective. Its environmental meaning, in particular its relationship with traffic patterns is discussed. Data from air quality monitoring stations located in the central part of Lisbon were used in this study. It describes a strategy to identify the type of vehicles responsible for certain pollutant levels, particularly for nitrogen oxides, and discusses the application of new air quality European legislation to the city of Lisbon, Portugal.     

纳米光催化氧化测定不同水体化学需氧量的研究

采用简便的沉淀法制备的纳米氧化锌为光催化荆,重铬酸钾为光生电子接受体,研究了纳米氧化锌-重铬酸钾体系测定COD的方法.COD值在1～100mg/L之间有良好的线性关系,线性方程为y=0.0007χ 0.0069,相关系数为r=0.9992,检测限为0.66mg,L.采用本方法和CODM.国标法对不同水体样品进行比较测定发现,对低COD值样品本方法加标回收率在96.3%～100.6%之间,变异系数Cv%=1.1～3.4,准确度和精密度均优于CODMn国标法,弥补了低COD值样品国标法(CODmn)测定不准确的不足,且单个样品测定时间短,具有推广应用价值.     

生化需氧量测定的方法改进

生化需氧量测定中接种液的制备和稀释倍数的确定是2个关键的步骤,本文提出一种可行的制备接种液的方法,根据实践经验,总结出一种稀释倍数计算方法,适合在实际分析中使用。     

用海泡石处理采油废水

用海泡石吸附法处理采油废水,考察了处理时间、海泡石加入量和采油废水pH对采油废水COD去除率的影响,并通过正交实验优化了采油废水处理工艺条件。通过正交实验得到的采油废水处理最佳工艺条件为：处理时间6h,粒径为150μm的海泡石加入量200g／L,采油废水pH9。在该条件下处理采油废水,COD去除率达到91％,处理后出水的COD为34．71mg／L,小于GB8978-1996（（污水综合排放标准》中的一级标准（60mg／L）。     

Forecasting China’s primary energy demand based on an improved AI model

An improved energy demand forecasting model is built based on the autoregressive distributed lag (ARDL) bounds testing approach and an adaptive genetic algorithm (AGA) to obtain credible energy demand forecasting results. The ARDL bounds analysis is first employed to select the appropriate input variables of the energy demand model. After the existence of a cointegration relationship in the model is confirmed, the AGA is then employed to optimize the coefficients of both linear and quadratic forms with gross domestic product, economic structure, urbanization, and technological progress as the input variables. On the basis of historical annual data from 1985 to 2015, the simulation results indicate that the proposed model has greater accuracy and reliability than conventional optimization methods. The predicted results of the proposed model also demonstrate that China will demand approximately 4.9, 5.6, and 6.1 billion standard tons of coal equivalent in 2020, 2025, and 2030, respectively.     

基于生态系统服务供需的雄安新区生态安全格局构建

生态安全格局构建是保障区域生态安全的关键。沿用“源地识别—阻力面构建—廊道提取”的生态安全格局构建模式,选取粮食供给、产水量、土壤保持、固碳释氧和生境维持5项生态系统服务供给指标,以及人口密度、地均GDP和土地利用程度3项生态系统服务需求指标,综合生态系统服务供需2方面识别重要生态源地,利用夜间灯光强度进行基本阻力面修正,采用最小累积阻力模型进行生态廊道提取,构建出雄安新区生态安全格局。研究表明:新区生态源地总面积约48433 km2,占新区土地总面积的313%,主要分布于新区西北部旱地和东南部水域;新区生态阻力系数空间分布较为破碎,大部分区域阻力值较低,间或分布高阻力值;新区生态廊道总长度18586 km,呈“Y”字型沿建设用地和水系分布,所处地类主要为旱地。基于生态系统服务供需的生态安全格局构建可为新区规划建设提供参考和借鉴。     

Predicting Satisfaction with Smart Irrigation Controllers and Their Long‐Term Use among Homeowners in Central Florida

Studies throughout Florida have shown smart controllers can substantially reduce irrigation under residential high‐water use conditions. However, successful promotion requires understanding the link between controller performance and the mechanisms by which they are adopted. This article compares irrigation water‐use and survey data collected from households installed with soil moisture sensor and evapotranspiration controllers. The study investigated whether the relative change in irrigation use between two years preceding and two years following installation was a reliable predictor of a homeowner's satisfaction with the device and likelihood of continuing to use it. Results indicated relative changes in irrigation use were only significantly associated with the quality of controller programming. Satisfaction with the controller was largely attributable to satisfaction with the appearance of the landscape and the perceived water‐saving effectiveness of the controller whereas the likelihood of its continued use was only significantly predicted by the level of technical knowledge regarding its functioning and whether or not challenges were experienced with it. Targeting homeowners with supplemental user‐friendly information may best support their long‐term adoption of smart controllers while providing irrigation contractors with training in implementation techniques would represent an integrated strategy for added reductions in residential outdoor water use.     

A case study of an isolated wind powered electricity system meeting 100% of local demand

Using meteorological and electricity demand data for a 4-year period, electricity demand in Shetland was modeled to provide an estimate of the demand over a 30-year period from 1 January 1981. That modeled demand was then compared to estimated wind power output over the same period using the WAsP model. The wind farm output was estimated for a range of sizes of wind farm up to the consented 370 MW Viking Wind Farm in Shetland. Some wind power was available for 94% of the time and the 370 MW wind farm would meet 100% of demand for nearly 80% of the time. The statistics of single and accumulated deficits were calculated for a range of wind farms and estimates of the amount of additional generation capacity and additional power requirements were assessed. The study suggests that with storage, wind power in Shetland could meet all electricity demand in Shetland at around £130 to £150/MWh (excluding subsidy) and with a grid connection allowing the sale of excess power, those costs could be reduced.     

O3-H2O2氧化法处理印染废水

采用O₃-H₂O₂氧化法对印染废水进行氧化处理,比较了O₃氧化法和O₃-H₂O₂氧化法对印染废水的处理效果,考察了初始废水pH、H₂O₂加入量、O₃流量和反应时间对废水的色度去除率和COD去除率的影响。实验结果表明：O₃-H₂O₂氧化法对废水的COD和色度的去除效果比O₃氧化法更好;在初始废水pH为11、H₂O₂加入量为13mmol/L、O₃流量为6g/h、反应时间为60min的最佳工艺条件下,处理后废水COD为61.50mg/L,COD去除率为95.73%,废水色度为5倍,色度去除率为99.75%,TOC为37.84mg/L,TOC去除率为85.10%,BOD₅为22.76mg/L,BOD₅去除率为90.20%,BOD₅/COD为0.37。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.