海洋环境水下电场时频特征分析

目的掌握海洋环境水下电场主要能量来源和衰减规律。方法结合理论研究环境电场幅值随时间的变化规律,重点分析水下环境电场不同频带的频谱分布,最后计算得到海洋环境水下电场不同频点的幅值在整个频带所占比重。结果海洋环境水下电场随海水电导率和海水运动强度的减弱,幅值降低,能量主要集中在0.01~1 Hz的低频以及工频处,在一定的空间范围内海洋环境水下电场的一致性较强。结论实验结果与理论分析结果具有一定的吻合度。     

北京市生活垃圾焚烧厂耗能排污特征及节能减排潜力

将生活垃圾焚烧厂从整体到局部分为场站-工艺-单元三个层次,通过现场调查,获取了北京市生活垃圾焚烧设施在2009~2011年不同层次耗能排污数据。分析表明,在焚烧工艺中焚烧单元处理单位垃圾的电耗达到60.83 kW·h,余热发电单元水耗最大,尾气处理单元的电耗和水耗相对较小。不同场站在处理单位垃圾时烟气和炉渣产量比较接近,但飞灰排放差异较大,在2.92~24.78 kg/t垃圾之间。渗沥液水量年际变化较大,水质相对稳定,MBR单元对污染物的去除效果最好,但其耗电量较大,占渗沥液处理工艺总耗电量的87.55%。焚烧工艺发电最优值为423.77 kW·h/t垃圾,产生的电能除满足自身需求外,还剩余1.8×108 kW·h的电能,可用于渗沥液处理工艺或输向场站外部。每吨渗沥液处理最多可产生中水0.962 t,全北京市每年产生中水196456 t/a,使用潜力大。     

苏州污水处理厂污泥干化工艺方案的比选

污泥处理及其处置所面临的重要问题之一,就是如何对城市污水处理厂产生的污泥进行有效减容,尽量降低对外部能源的需求。文中在掌握国内外污泥干化主要工艺技术的基础上,针对某城市污水处理厂的污泥干化工程,拟对采用燃煤烟气干燥、污泥消化一干化一体化、太阳能热泵干燥等三种不同污泥干化工艺进行物料、能量工艺核算。并在此基础上,计算初期投资与15年的运行费用总和。通过对燃料价格、环保和安全等影响因素的研究,分析比较了五种供热系统,以太阳能热泵供热系统为最优,值得大力推广和应用。     

Deficit analysis: service capacity assessment and planning in developing countries – case study in the Philippines

Current demand analysis methods do not formally cover the case of chronic deficits in quantity or quality of water and sanitation services. These services include drinking water supply (DWS), wastewater and sewage treatment (WST), and municipal solid waste management (MSW). Formal analysis of this case would, at minimum, define the deficit state and evaluate appropriate options for reducing it. This paper proposes for a formal analytical model for municipal sanitation systems (MSS) that operate with deficits in at least one of the constituent services of DWS, WST, or MSW. The model introduces definitions and notation for describing the deficit state for conducting demand analysis on municipal sanitation systems. This model of demand analysis for systems with chronic deficits will hereinafter be referred to as deficit analysis. A case study for Bacoor, Philippines is presented as an example.     

The application of generalized linear mixed models to multi-level sampling for insect population monitoring

Iwao's quadratic regression or Taylor's Power Law (TPL) are commonly used to model the variance as a function of the mean for sample counts of insect populations which exhibit spatial aggregation. The modeled variance and distribution of the mean are typically used in pest management programs to decide if the population is above the action threshold in any management unit (MU) (e.g., orchard, forest compartment). For nested or multi-level sampling the usual two-stage modeling procedure first obtains the sample variance for each MU and sampling level using ANOVA and then fits a regression of variance on the mean for each level using either Iwao or TPL variance models. Here this approach is compared to the single-stage procedure of fitting a generalized linear mixed model (GLMM) directly to the count data with both approaches demonstrated using 2-level sampling. GLMMs and additive GLMMs (AGLMMs) with conditional Poisson variance function as well as the extension to the negative binomial are described. Generalization to more than two sampling levels is outlined. Formulae for calculating optimal relative sample sizes (ORSS) and the operating characteristic curve for the control decision are given for each model. The ORSS are independent of the mean in the case of the AGLMMs. The application described is estimation of the variance of the mean number of leaves per shoot occupied by immature stages of a defoliator of eucalypts, the Tasmanian Eucalyptus leaf beetle, based on a sample of trees within plots from each forest compartment. Historical population monitoring data were fitted using the above approaches.     

毛竹林各组分能量估算模型的研究

在建瓯设置40块毛竹林标准地,分别测定了毛竹单株各部分干重与能量,建立了各部分生物量模型,并在此基础上,运用人工神经网络方法对毛竹林各组分能量进行估测.结果表明毛竹林各组分秆、枝叶和地下部分的平均能量依次为4.23225×10     

西部地区加快开发应当克服“资源近视症”

本文从分析我国传统的经济增长方式入手,通过对资源近视症”的表现及后果的分析,提出西部西地区,特别是西部少数民族地区只有树立全面的资源观,立足优势,面向市场,抓住机遇,合理开发资源和利用资源,才能走出一条符合本民族,本地区实际的可持续发展之路。     

Renewable energy in Australia: a wider policy discourse

ABSTRACT

This paper assesses the evolution of generation technology-mix in Australia, with specific emphasis on understanding how such evolution has been shaped by wider political and socio-economic influences. This assessment is predicated on the argument that the contemporary, quintessentially techno-economic, policy discourse on renewable energy is deficient, as it ignores climacteric political and socio-economic influences on generation technology-mix. The methodological framework employed in this paper is informed by the core tenets of technological change theory. The assessment suggests that generation technology-mix in Australia has historically been overwhelmingly influenced by the underlying technological paradigm of the electricity industry; and that this technological paradigm essentially draws its imprimatur from the wider political and socio-economic contexts. By implication, it suggests that a rapid uptake of renewables will have widespread ramifications, extending into political, socio-economic and cultural realms of a society. Clearly, existing policy discourse – that tends to focus on technical potentials, cost competitiveness, externalities and risks of various renewable technologies – is deficient. A much broader discourse is needed. This paper also made an attempt to develop a basis for such a discourse by reviewing broader aspects of the Australian society that would be affected by a rapid uptake of renewables.     

Key factors that influence households’ tree planting behaviour

Despite a decrease in indigenous forests and a growing demand for tree products in developing countries, tree planting activities are not considerably expanding in Tanzania. In this paper, we analyse factors that influence households’ tree planting behaviour, as well as the number of trees planted. Coast and Morogoro regions in the east of Tanzania were selected as the case, and data was gathered from 202 households in 11 villages in these regions where tree planting programmes have been or still are active. A Heckman model is used to analyse the factors that drive tree planting behaviour. Results indicate that households get wood energy from forest reserves (57%), in addition to their own planted trees (9.1%). Emperical findings show that the most important factors have significantly positive effects on households’ tree planting behaviour, as well as the extent to which it was implemented. These factors include households’ land sizes, households’ awareness of tree planting programmes, tree planting for wood energy, and the age of the head of the household. The right/freedom to harvest and transport tree products, households’ attitudes towards tree planting, and family size have significantly negative effects on households’ tree planting behaviour. This paper is perhaps the first comprehensive study to analyse the factors that influence households’ tree planting behaviour in Tanzania, and it uncovers results that are useful, even for other developing countries with similar conditions.