毛乌素沙地油蒿与籽蒿种子萌发对光照的反应

油蒿(Artemisia ordosica)与籽蒿(Artemisia sphaerocephala)为毛乌素沙地的优势物种，广泛用于我国北方干旱、半干旱区的生态恢复。油蒿与籽蒿种子萌发对温度、水分等环境条件的反应已有较为明确的研究结果，但关于这两种蒿属植物种子萌发对光照反应的研究目前存在两种不同的结论，对飞播技术的改善造成一定影响。 影响油蒿与籽蒿种子萌发对光照反应的因素较多。如种源地、结实部位、种子颜色、种子保存方式与时间、实验条件、温度等。考虑种源地、种子保存时间与方式、结实部位及温度，从多方面系统研究油蒿与籽蒿种子萌发对光照的反应。结果表明当温度较低时(10:20C)，萌发率和萌发速率在黑暗条件下显著高于在光照条件下。采自榆林地区的种子萌发状况相对较差，萌发率和萌发速率在大多数情况下显著低于其他两地;各种源地上下部种子萌发率有一定差异，大多数结实部位为上部的种子最终萌发率和萌发速率高于下部的种子;保存几周的种子萌发率变化不大，但在温度较高和较低时，随着种子保存时间的延长，萌发率下降较快，而在适宜温度下种子萌发率变化不明显;种子保存方式的不同造成种子萌发情况的差异，但差异不明显;黑暗条件下比近似黑暗条件下的种子萌发率略低。上述因素对种子萌发均具有一定影响，但总体特征是种子萌发对光照的反应表现为强光抑制种子的萌发，黑暗促进种子萌发。当温度较高时(15:25C)，光照与黑暗条件下种子萌发率差异不大，但黑暗条件下种子的萌发速率显著高于光照条件下;当其它条件相同时，种子萌发率和萌发速率显著高于温度较低时(10:20C)。因而，适宜的温度和黑暗条件有利于油蒿与籽蒿种子的萌发。在飞播实践时应为种子创造一定的沙埋条件，创造有利于种子萌发的黑暗环境，促进种子的萌发，提高飞播工作的成效。

毛乌素沙地四种关键植物幼苗出土及生长对沙埋和水分的响应

飞播是毛乌素沙地植被恢复与重建的重要手段。但此项技术仍存在一些问题，如飞播后成苗率较低等。柠条(Caragana korshinskii)、羊柴(Hedysarum laeve)、籽蒿(Artimisia sphaerocephala)与油蒿(Artimisia ordosica)是毛乌素沙地广泛分布的物种，也是飞播的主要物种。本文以飞播植被恢复技术为突破口，研究沙埋和土壤水分对种子萌发，幼苗出土和生长的影响，探讨幼苗出土和生长对沙生环境的适应对策。对采用合适的物种进行生态工程建设，提高生态工程的稳定性及可持续性具有重要意义。同时，本项研究有助于加深半干旱区植物对沙生环境适应机理的认识。 以上述4种植物为研究对象，设定7个沙埋深度和9个水分梯度，研究种子萌发和幼苗出土对沙埋和单次供水的响应。设定7个沙埋深度，选择3个沙丘部位，研究沙丘不同部位对植物种子萌发的影响。设定6个沙埋深度、4个水分梯度，研究两种蒿属植物幼苗生长对不同沙埋和供水的响应。得出如下主要结论： (1) 对于种子质量相对较大的柠条和羊柴而言，在一次性10-20 mm供水量条件下，幼苗主要在0.5-2 cm埋藏深度之间出土，但在埋藏深度为5 cm时这两个物种仍有少部分幼苗能够出土;对于种子质量相对较轻的油蒿和籽蒿而言，在一次性10-20 mm供水量时，幼苗主要在0.5 cm埋藏深度出土，油蒿和籽蒿幼苗在埋藏深度为1.5和2 cm时不能出苗。沙埋深度为0.5 cm时，4个物种出苗率较高、出苗时间较短、出苗速率较快。 (2) 实验期内(30天)在一次性供水量分别为5、7.5和7.5mm时，柠条、羊柴和油蒿出土幼苗全部死亡;在一次性供水量高于15-20 mm时，出土幼苗死亡率低于50%;籽蒿在供水量高于10 mm时出土幼苗死亡率低于50%;随供水量的增加4个物种出土幼苗的死亡率降低。 (3) 结合毛乌素沙地降雨特点与本文实验结果，0.5 cm的沙埋及7.5 mm以上的单次降雨量是上述4种植物自然条件下出苗较高的重要条件。 (4) 在沙丘顶部，2-7 cm沙埋深度之内各个物种不同沙埋深度的种子萌发率差异不显著。沙丘背风坡中部和底部，4个物种在沙埋深度为1 cm时的种子萌发率均显著高于5、7 cm时的萌发率。当沙埋深度为1-5 cm时，柠条和羊柴种子在坡面不同位置的萌发率均高于20%，且显著高于7 cm沙埋深度时的萌发率。在背风坡底部时，柠条、羊柴、油蒿和籽蒿的种子萌发率达到最大值，分别为45.2±3.27%、48.4±5.21%、20.8±4.63%和22.4±4.83%。4个物种的种子萌发率从沙丘顶部到背风坡中部到底部呈递增趋势，表明背风坡中部和底部的环境条件要比顶部更适合种子萌 发。 (5) 部分沙埋促进幼苗生长。2种蒿属植物幼苗在沙埋深度为0.25、0.5 H时比在0、0.75 H时具有更高的生物量、叶面积、相对生长速率（RGR）和净同化速率（NAR）。在75 mm/月供水量时，油蒿幼苗具有较高的生物量和叶面积，但当供水量达到100 mm/月时其幼苗生长受到抑制。油蒿幼苗在遭遇较深（0.5、0.75 H）沙埋时的根冠比要显著高于未沙埋幼苗的根冠比;籽蒿幼苗根冠比在不同沙埋条件下没有显著变化。籽蒿幼苗在50 mm供水量时具有较高的RGR。油蒿幼苗在75 mm供水量时具有较高的RGR和NAR。

Air pollution levels measured at traffic hot spots : Brisbane urban corridor study

Air pollution levels were monitored continuously over a period of 4 weeks at four sampling sites along a busy urban corridor in Brisbane. The selected sites were representative of industrial and residential types of urban environment affected by vehicular traffic emissions. The concentration levels of submicrometer particle number, PM2.5, PM10, CO, and NOx were measured 5-10 meters from the road. Meteorological parameters and traffic flow rates were also monitored. The data were analysed in terms of the relationship between monitored pollutants and existing ambient air quality standards. The results indicate that the concentration levels of all pollutants exceeded the ambient air background levels, in certain cases by up to an order of magnitude. While the 24-hr average concentration levels did not exceed the standard, estimates for the annual averages were close to, or even higher than the annual standard levels.

Guidelines on building design and operation to minimize air quality impacts from major roads in transit oriented development

Poor air quality has a huge detrimental effect, both economic and on the quality of life, in Australia. Transit oriented design (TOD), which aims to minimise urban sprawl and lower dependency on vehicles, leads to an increasing number of buildings close to transport corridors. This project aims at providing guidelines that are appropriate to include within City Plan to inform future planning along road corridors, and provide recommendations on when mitigation measures should be utilised.

Implication of global warming on air-conditioned office buildings in Australia

With the accelerated trend of global warming, the thermal behavior of existing buildings, which were typically designed based on current weather data, may not be able to cope with the future climate. This paper quantifies, through computer simulations, the increased cooling loads imposed by potential global warming and probable indoor temperature increases due to possible undersized air-conditioning system. It is found from the sample office building examined that the existing buildings would generally be able to adapt to the increasing warmth of 2030 year Low and High scenarios projections and 2070 year Low scenario projection. However, for the 2070 year High scenario, the study indicates that the existing office buildings, in all capital cities except for Hobart, will suffer from overheating problems. When the annual average temperature increase exceeds 2°C, the risk of current office buildings subjected to overheating will be significantly increased. For existing buildings which are designed with current climate condition, it is shown that there is a nearly linear correlation between the increase of average external air temperature and the increase of building cooling load. For the new buildings, in which the possible global warming has been taken into account in the design, a 28-59% increase of cooling capacity under 2070 High scenario would be required to improve the building thermal comfort level to an acceptable standard.

Characterisation of indoor air organic pollutants in Brisbane

The occurrence and levels of airborne polycyclic aromatic hydrocarbons and volatile organic compounds in selected non-industrial environments in Brisbane have been investigated as part of an integrated indoor air quality assessment program. The most abundant and most frequently encountered compounds include, nonanal, decanal, texanol, phenol, 2-ethyl-1-hexanol, ethanal, naphthalene, 2,6-tert-butyl-4-methyl-phenol (BHT), salicylaldehyde, toluene, hexanal, benzaldehyde, styrene, ethyl benzene, o-, m- and pxylenes, benzene, n-butanol, 1,2-propandiol, and n-butylacetate. Many of the 64 compounds usually included in the European Collaborative Action method of TVOC analysis were below detection limits in the samples analysed. In order to extract maximum amount of information from the data collected, multivariate data projection methods have been employed. The implications of the information extracted on source identification and exposure control are discussed.