半导体制造业降低全氟化碳(PFC_S)排放的研究

半导体制造业作为信息产业的基础,半导体元件的需求增长迅速。半导体行业的环保节能研究已成为技术发展的主题。全氟化碳(PFCS)为目前认为具有高温室气体暖化潜势的气体,也是《京都议定书》控制的6种温室气体之一,对气候的影响能力不可忽视。全球各半导体行业、环保部门及相关研究机构仍在不断努力减排。本文从半导体行业中PFCS的排放现状、产污环节、排放特点、污控途径、激励措施等方面对其减排途径进行了研究和分析。     

南通市人为源大气氨排放清单及特征

根据收集的南通市各类人为氨排放源的活动水平数据,采用合理的估算方法和排放因子,估算了2009年南通市的人为源大气氨排放量。结果表明,2009年南通市人为源大气氨排放量为60.02 kt,其中,畜禽源和氮肥使用是两个最大排放源,氨排放量分别为31.54 kt和23.43 kt,分别占南通市大气氨排放总量的52.5%和39.0%。畜禽源中生猪是NH3排放最大贡献源,占畜禽源排放总量的46.4%,其次是家禽,其贡献率为36.4%。南通市氨平均排放强度为6.59 t.km-2.a-1。     

南通市人为源大气氨排放清单及特征

根据收集的南通市各类人为氨排放源的活动水平数据,采用合理的估算方法和排放因子,估算了2009年南通市的人为源大气氨排放量。结果表明,2009年南通市人为源大气氨排放量为60.02 kt,其中,畜禽源和氮肥使用是两个最大排放源,氨排放量分别为31.54 kt和23.43 kt,分别占南通市大气氨排放总量的52.5%和39.0%。畜禽源中生猪是NH3排放最大贡献源,占畜禽源排放总量的46.4%,其次是家禽,其贡献率为36.4%。南通市氨平均排放强度为6.59 t.km-2.a-1。     

呼和浩特交通扬尘排放清单研究

颗粒物污染是影响中国城市空气质量的首要因素,交通扬尘是城市大气颗粒物污染的主要来源之一,排放清单及排放特征研究是进行环境影响分析、控制措施成本效益分析、控制方案制定以及进行环境管理的基础。本文对呼和浩特城区典型道路路面尘负荷进行采样分析,现场调研不同类型道路车流量和车辆构成,应用AP-42排放因子计算典型道路交通扬尘排放因子,建立了基于G IS的排放清单数据库。结果显示:胡同的PM10排放因子最大,其次分别为环城路、支路、次干道和主干道;环城路的PM10排放强度最大,其次为主干道、次干道、支路和胡同;基准年2006年呼和浩特城区交通扬尘PM10排放量为22 715 t;从空间分布看,环城路以内网格排放源强较高,中心城区排放强度最大。     

基于能源结构的IGT模型对CO2排放量的研究

将能源结构指标Es引入到IGT模型中,并用模糊矩阵对Es进行计算,同时,采用马尔可夫模型对湖南省能源结构进行预测,结果显示:到2020年,湖南省煤、石油、天然气、水电在一次能源消费中的占比为:54.75%:10.75%:2.75%:26.24%;在此能源结构的基础上,用基于能源结构的IGT模型对湖南省CO2排放量进行预测,预测结果显示:2020年湖南省CO2排放量为48 787.23万吨,是2010年的1.51倍,但其单位GDP的CO2排放量仅为1.19吨/万元,比2010年下降41.6%;2020年因能源结构优化而减排的CO2量为7 049.79万吨,占当年CO2排放总量的14.45%。此外,当湖南省单位GDP年均节能率达到7.8%左右时,其CO2排放量将维持2010年的水平不变,从而实现经济增长和CO2排放量的脱钩。     

燃煤锅炉的节能改造

采用湍流循环燃烧炉芯板技术和燃煤锅炉自动监测控制技术,对现有中小型燃煤锅炉进行节能技术改造,可以有效提高锅炉热效率,降低锅炉煤耗和电耗,减少锅炉的大气污染物排放量,达到节能、降耗、减污、增效的经济和环境综合效益。     

城市交通低碳化的可能路径

低碳经济下的城市交通建设不仅要求建设足够的城市交通设施以满足居民对城市机动化的需求,同时必须发展与城市碳容系统相协调的交通体系以保持经济增长与环境需求间的动态平衡。因此中国在加快城市机动化推进的同时也面,陆着资源与环境问题的挑战。论文对中国如何发展城市交通低碳化进行了战略构想,从空间性减碳、技术性减碳和社会性减碳三方面着眼提出了可行性建议。     

Urease inhibitor reduces N losses and improves plant-bioavailability of urea applied in fine particle and granular forms under field conditions

A field lysimeter/mini plot experiment was established in a silt loam soil near Lincoln, New Zealand, to investigate the effectiveness of urea fertilizer in fine particle application (FPA), with or without the urease inhibitor N-(n-butyl) thiophosphoric triamide (NBPT - “Agrotain”), in decreasing nitrogen (N) losses and improving N uptake efficiency. The five treatments were: control (no N) and ¹⁵N-labelled urea, with or without NBPT, applied to lysimeters or mini plots (unlabelled urea), either in granular form to the soil surface or in FPA form (through a spray) at a rate equivalent to 100 kg N ha⁻¹. Gaseous emissions of ammonia (NH₃) and nitrous oxide (N₂O), nitrate (NO₃⁻) leaching, herbage dry-matter (DM) production, N-response efficiency, total N uptake and total recovery of applied ¹⁵N in the plant and soil varied with urea application method and with addition of NBPT. Urea with NBPT, applied in granular or FPA form, was more effective than in application without NBPT: N₂O emissions were reduced by 7-12%, NH₃ emissions by 65-69% and NO₃⁻ leaching losses by 36-55% compared with granular urea. Urea alone and with NBPT, applied in FPA form increased herbage DM production by 27% and 38%, respectively. The N response efficiency increased from 10 kg DM kg⁻¹ of applied N with granular urea to 19 kg DM kg⁻¹ with FPA urea and to 23 kg DM kg⁻¹ with FPA urea plus NBPT. Urea applied in FPA form resulted in significantly (P < 0.05) higher ¹⁵N recovery in the shoots compared with granular treatments and this was improved further when urea in FPA form was applied with NBPT. These results suggest that applying urea with NBPT in FPA form has potential as a management tool in mitigating N losses, improving N-response efficiency and increasing herbage DM production in intensive grassland systems.     

江西省2001-2005年森林植被碳储量及 区域分布特征

利用"十五"期间(2001-2005年)江西省森林资源二类清查资料,根据优势树种生物量扩展方程,估算江西省森林植被的碳储量和碳密度,并分析其地理分布特征。江西省森林植被的总碳储量为263.87 Tg C(1 Tg C=10⁶ t),其中林分碳储量为214.70 Tg C。在11个地市中,赣州市的森林植被碳储量最大,为70.11 Tg C,其次是吉安市、上饶市和宜春市。江西省森林植被的平均碳密度为26.27 t/hm²,林分平均碳密度为27.20 t/hm²,各地市森林植被的平均碳密度景德镇市最大,为31.65 t/hm²,其次为宜春市、吉安市和鹰潭市。各森林类型中,杉木(Cunninghamia lanceolata)林的碳储量最大,为73.77 Tg C,占江西省林分碳储量的34.36％;硬阔林的碳密度大于其他类型森林,为42.64 t/hm²,是江西省森林植被平均碳密度的1.5倍多。幼、中龄林的碳储量占全省林分碳储量的81.95％,碳密度随着龄级的增长而增加。     

Development of an eco-ideation tool to identify stepwise greenhouse gas emissions reduction options for consumer goods

Pressure on consumer goods manufacturers to develop new products with significantly less environmental impact is growing, through increased consumer awareness of environmental issues and governments setting ambitious emissions reductions targets. A strategic response to this pressure is to prepare a portfolio of innovative product ideas to meet a range of future emissions reductions targets. However, although extensive work exists on ideation (the generation of novel product ideas) and eco-design (design for reduced environmental impact), eco-ideation (generation of ideas that particularly aim to reduce environmental impacts) has had little attention. The challenge of eco-ideation is to release the creativity of a broad range of employees, only few of whom may be familiar with the drivers of environmental impact.This paper proposes a novel tool to facilitate the generation of radical product and process ideas giving step-change reductions in greenhouse gas emissions. The features of products and processes that drive greenhouse gas emissions across the product life cycle were characterized with a set of indicators. A simple visual tool was created to show these indicators on a sliding scale between best and worst imaginable performance. A leading question associated with each slider was designed to stimulate lower impact ideas. The tool was iteratively refined and simplified through structured testing with individuals from across a range of roles and differing knowledge of environmental impacts. The final eco-ideation tool used 14 scales, with leading questions for each scale developed to stimulate idea generation.The tool’s effectiveness was evaluated through use in a series of 15 individual workshops and compared with the outcomes of an equal number of conventional 12-person group-brainstorming sessions. The comparison suggests that using the simple tool generally leads to a wider range of more radical ideas than emerge from group brainstorming.