和田玉、玛纳斯碧玉和岫岩老玉的产地特征

本文用电子探针研究了和田玉、玛纳斯碧玉和岫岩老玉的矿物成分,结果表明和田玉的主要矿物成分是透闪石,玛纳斯碧玉是阳起石,而岫岩老玉则由透闪石和阳起石组成,并论述了它们的产地特征.     

航空遥感在佛山城市空间环境质量评价中的应用

本文主要介绍利用佛山市航空遥感综合调查资料分析城市环境的空间结构，建立了空间结构分类系统，探讨了城市形态的变化，综合评价城市空间环境质量，并提出一些改善环境质量的建议．     

基于等高线的Multigen Creator地形建模

Multigen Creator具有强大的地物建模功能,但不同领域的建模仍缺乏统一的方法,应结合领域特点与应用需求进行具体方法设计。本文以某露天采石场的3维建模与可视化为例,探讨了基于等高线建立3维地面模型实现可视化的方法,介绍了其在某采石场的应用,模拟开采后的整个生态地貌,为政府决策以及绿色开采提供了有力的技术支持。     

走向21世纪的矿产资源开发工作需引入绿色伦理观念

面对种种严重的全球性危机,世纪之交的人类正经历一场人地关系观念的变革,绿色伦理就是在这场变革中提出的一种崭新观念。本文试图对绿色伦理做深一步的探讨和阐述,并将人类社会的这一全新观念引入矿产资源开发工作,提出以绿色伦理为基础的矿产开发的新价值观、新考评标准以及目前矿产资源管理方面急需解决的问题。     

利用双因素实验和单藻培养方法研究温度和盐度对短节硬毛藻(Chaetomorpha brachygona Harvey)生长发育的影响

提要 利用双因素实验和单藻培养等方法,对采自广东南澳岛的短节硬毛藻Chaetomorpha brachygona Harvey进行了研究。在不同温度和盐度条件下,对该硬毛藻的生长、活力以及形态进行了观察与测定。结果表明,温度和盐度对短节硬毛藻的生长均有一定影响,当温度为20℃时,藻体培养第3、6和12天活力分别为0.70—0.75Y、0.60—0.70Y和0.55—0.65Y,培养12天时藻体有生殖细胞形成,此温度有利于藻体维持活力;温度为25—30℃时,培养第3天时会大量形成生殖细胞;在盐度10、20、40和50时,藻体的生长与温度相关,即30℃>25℃>20℃;在盐度20—30时,藻体长度最大达4.55 cm;在盐度10—30时,更有利于藻体生长,整体趋势为20>30>10>40>50。因此,实验条件下,温度25—30℃、盐度10—30更利于短节硬毛藻的生长和形成生殖细胞。本实验表明,短节硬毛藻为暖水、广盐性种,有可能在我国南方海区大量生长并扩散,具有引发绿潮的潜力。     

Understanding nesting ecology and behaviour of green marine turtles at Setiu,Terengganu, Malaysia

In this paper, we emphasize the importance of understanding the nesting ecology and nesting behaviour of green marine turtles (Chelonia mydas). Data were collected from 2007 until 2012 from nesting beaches at Setiu Terengganu, Malaysia. We focused on one of the beaches, Telaga Papan, based on data collected in 2012. We recorded the distribution of nesting areas, the emergence hour and the correlation between successful nesting attempts and false crawls. Telaga Papan had a significantly higher distribution of green marine turtle nesting compared with the other five beaches (ANOVA, F_5,42 = 8.874, P < 0.01, mean = 36.750 ± 3.727). The highest number of successful nesting attempts was recorded in 2012 (mean = 28.714). A majority of the species landed between 22:00 and 23:59 h (25%). There was a strong correlation between successful nesting attempts and false crawls (r_s = 0.883, P = 0.02). Based on these findings on the nesting ecology and nesting behaviour of green marine turtles, we suggest that scientific research, strict monitoring, awareness programs and policy implementation should be carried out proactively. Such activities are necessary to reduce the anthropogenic pressures at the nesting beaches as well as to ensure more successful nesting attempts of green marine turtles in Setiu.     

江苏近岸紫菜养殖筏架区定生绿藻群落结构及其受控因素

基于2010年10月至2011年4月对苏北紫菜养殖筏架区定生绿藻及环境因素调查数据,分析研究了紫菜筏架上定生绿藻种群结构和数量变化及重要环境因子对其的影响并估算了调查区绿藻总生物量.结果表明,筏架上定生绿藻种类有浒苔(Ulva prolifera)、盒管藻(Capsosiphon groenlandicus)、缘管浒苔(Ulva linza)、肠浒苔(Ulva intestinalis)、条浒苔(Ulva clathrata)和扁浒苔(Ulva compressa).绿藻生物量变化呈倒抛物线型,4月份为主高峰14898吨,11月份为次高峰2034吨,2月份最低,仅为729吨,3-4月份绿藻几乎呈暴发性增长.种类多样性随季节变化有很大差异,养殖筏架刚入海的9、10月份,绿藻种类丰富,生物多样性高;12月至笠年2月,尽管生物量很低,但仍是多种并存;3-4月份随着生物量的猛增,种类多样性降至最低,盒管藻优势地位明显,生物量比例最大能到80%,浒苔比例呈指数增长,达20%～40%.水温对绿藻生物量及种类演替有直接调控作用,在水温< 10℃时,绿藻即能快速生长;而盐度作用不明显.开展紫菜筏架上定生绿藻群落动态变化及其生物量的估算,为追溯南黄海大规模绿潮发源地提供佐证,为绿潮预防和治理提供基础数据支撑.     

青岛地铁工程绿色施工评估体系初探

本文以青岛地铁3号线、2号线基坑工程为背景,针对基坑"土岩组合"的特点,研究施工过程中对环境污染与破坏的影响因素,提出地铁工程绿色施工内涵。在广泛调查基础上,确定了9个指标项,44个因素项,129个分因素项,提出绿色施工评价标准。通过层次分析计算指标与因素的权重,得到评价模型,对地铁工程绿色施工环境影响进行评价。研究结果表明,该评价模型简单易行,对推动地铁工程绿色施工具有现实意义。     

Ultraviolet absorption/salinity correlation as an index of pollution in inshore sea waters

Ultraviolet absorption spectra of fresh and marine waters along the southern coast of Viti Levu, Fiji, are recorded. Variations in the magnitude of the absorption from streams deyoid of human influence limit the use of such measurements as a sensitive index of organic pollution. However, where there is a significant difference between the absorption magnitudes of adjacent streams, these can be individually identified in coastal waters by concurrent absorption and salinity measurements. Such measurements characterise water masses in inshore waters, and indicate the origin of their freshwater components. Consequently the method has particular relevance in sea areas influenced by fresh waters with enhanced ultraviolet absorbance due to organic pollution.     

Computing least air pollution exposure routes

Personalized routing counts on traveler’s preferences which are usually based on different criteria, such as shortest, fastest, least traffic, or less expensive (e.g., less fuel cost, toll free). However, people are increasingly becoming concerned about the adverse health effects of exposure to air pollution in chosen routes. Exposures to elevated air pollution concentrations particularly endanger children, pregnant women, elderly people, and people with asthma and other respiratory conditions. Choosing routes with least air pollution exposure (APE) is seen as one approach to minimize the level of pollution exposed, which is a major public health issue. Routing algorithms use weights on segments of road networks to find optimum routes. While existing weights are commonly distance and time, among a few others, there is currently no weight based on APE to compute least APE routes. In this paper, we present a weight function that computes weight based on APE. Two different approaches, geostatistical and non-geostatistical, were used to compute APE weight. Each approach was evaluated, and the results indicate that the APE weight is suitable for computing least APE routes.