Identifying key areas of ecosystem services potential to improve ecological management in Chongqing City,southwest China

Because natural ecosystems and ecosystem services (ES) are both critical to the well-being of humankind, it is important to understand their relationships and congruence for conservation planning. Spatial conservation planning is required to set focused preservation priorities and to assess future ecological implications. This study uses the combined measures of ES models and ES potential to estimate and analyze all four groups of ecosystem services to generate opportunities to maximize ecosystem services. Subsequently, we identify the key areas of conservation priorities as future forestation and conservation hotspot zones to improve the ecological management in Chongqing City, located in the upper reaches of the Three Gorges Reservoir Area, China. Results show that ecosystem services potential is extremely obvious. Compared to ecosystem services from 2000, we determined that soil conservation could be increased by 59.11%, carbon sequestration by 129.51%, water flow regulation by 83.42%, and water purification by 84.42%. According to our prioritization results, approximately 48% of area converted to forests exhibited high improvements in all ecosystem services (categorized as hotspot-1, hotspot-2, and hotspot-3). The hotspots identified in this study can be used as an excellent surrogate for evaluation ecological engineering benefits and can be effectively applied in improving ecological management planning.     

Comprehensive analysis of the carbon impacts of vehicle intelligent speed control

In recent years sophisticated technologies have been developed to control vehicle speed based on the type of road the vehicle is driven on using Global Positioning Systems and in-car technology that can alter the speed of the vehicle. While reducing the speed of road vehicles is primarily of interest from a safety perspective, vehicle speed is also an important determinant of vehicle emissions and thus these technologies can be expected to have impacts on a range of exhaust emissions. This work analyses the results from a very large, comprehensive field trial that used 20 instrumented vehicles with and without speed control driven almost 500,000 km measuring vehicle speed at 10 Hz. We develop individual vehicle modal emissions models for CO₂ for 30 Euro III and Euro IV cars at a 1-Hz time resolution. Generalized Additive Models were used to describe how emissions from individual vehicles vary depending on their driving conditions, taking account of variable interactions and time-lag effects. We quantify the impact that vehicle speed control has on-vehicle emissions of CO₂ by road type, fuel type and driver behaviour. Savings in CO₂ of ≈6% were found on average for motorway-type roads when mandatory speed control was used compared with base case conditions. For most other types of road, speed control has very little effect on emissions of CO₂ and in some cases can result in increased emissions for low-speed limit urban roads. We also find that there is on average a 20% difference in CO₂ emission between the lowest and highest emitting driver, which highlights the importance of driver behaviour in general as a means of reducing emissions of CO₂.     

石膏浆液旋流器的分离性能实验研究

通过理论分析及工程经验对石灰石/石膏法烟气脱硫工艺中石膏浆液脱水系统的旋流器进行优化设计,在与工业实际相近的操作条件下,优选出了一根综合性能较好的旋流器。考察了该旋流器的压力、流量与分离效率之间相互关系,与常规石膏浆液旋流器的分级效率进行了比较,确定了最佳操作条件。结果表明,旋流器的进口流量随着进出口压力差的增大而增大,分离效率随着流量增加先上升后下降。在进口硫石膏颗粒平均粒径为24μm,流量为11.8~14.8 m3/h时,分离效率在85%以上,底流出口10μm、15μm以下的颗粒分别占底流出口颗粒总体积的1%、10%左右,起到了很明显的分级浓缩作用,分离性能也优于常规使用的石膏浆液旋流器。     

基于因子分析法优选河流水体中氮浓度预测方法的研究

定量的河流水体中氮浓度预测方法有很多种,如何优选出预测精度较高的方法一直是学术界多年来致力于研究的重点。本研究采用因子分析法对预测方法的精度评价指标进行分析,并建立了预测方法精度的评价模型,对回归分析法、神经网络法、灰色系统法和增长率统计法4种水体氮浓度预测方法进行综合评估,优选出精度较高的河流水体氮浓度预测模型——BP神经网络预测模型。结果表明,此评估模型对类似研究具有一定的参考价值,能为选择出合适的河流水体氮浓度预测方法提供依据。     

多孔富铁填料曝气过滤除磷机理研究

采用多孔富铁填料的曝气过滤装置具有优良的除磷性能,理论分析研究了多孔富铁填料的除磷机理,通过铁细菌测定、电镜扫描、红外光谱分析等实验对其除磷机理进行了验证。结果表明,多孔富铁填料除磷为化学除磷过程,铁的形态转化中存在铁细菌的氧化作用,沉淀物以碱式磷酸铁为主。     

可持续消费的三维伦理向度

20世纪以来,一系列具有全球性质的资源、环境、人口等问题日益凸显,人类经济社会的发展面临着严重的困境。无论是从人和自然的关系或是从人的全面发展角度,还是从消费的公平性角度来分析,纵欲享乐的消费主义方式都有很多无法回避的罪责,它不仅不利于人的全面发展,加剧人与自然的矛盾,而且激化了人与人之间的社会矛盾。正是通过对工业文明消费观的反思和批判,可持续消费伦理应运而生。可持续消费通过控制自身的消费保护资源、降低污染强度实现了人与自然共生共荣的伦理目标;通过节制过分的物质欲望、追求精神生活的完善增进了人与社会全面发展的伦理关怀;通过正确处理人类自身的当前利益和长远利益的关系、局部利益与整体利益关系强化了人与人和谐共处的伦理责任,可持续消费所具有的三维伦理向度,使其作为一种区别于传统消费方式的全新的消费方式和消费理念,成为人类应对危机理性的自觉和在新的历史发展时期的时代要求。     

饮用水消毒副产物控制工艺研究进展

通过对氯、二氧化氯、紫外线等常见消毒工艺以及去除已生成消毒副产物的深度处理工艺进行了分析,探讨了各种消毒工艺的消毒性能和对消毒副产物的控制效果以及各种深度处理工艺对消毒副产物的去除性能,为实际水处理中消毒以及深度处理工艺的选择提供了参考。     

国际海洋保护区可持续性融资研究进展

本文以国际海洋保护区的各类融资渠道为出发点,从海洋保护区可持续性融资的理论框架、融资可持续的机制优选和技术保障、海洋保护区管理与可持续融资的关系,以及世界各地海洋保护区可持续性融资及评估的案例研究等方面,对20世纪90年代以来有关海洋保护区可持续性融资问题的国际研究文献进行梳理,并结合相关研究成果对海洋保护区可持续融资的关键点进行总结。可持续发展视角下的海洋保护区融资主要体现出以下特点:其一,环境介质影响、所辖区域海洋资源空间分布、生物运动和物质能量循环以及海洋生态系统沿海和大洋的两性特征等因素,导致的陆海保护区资金需求差异,决定了海洋保护区融资机制选择和融资运作有着不同于陆地生态系统和陆地保护区的特征。其二,国际海洋保护区区位、资源禀赋以及区域社会文化背景等的差异,决定了各海洋保护区的可持续融资并无一个统一的可资套用的模式,因此,开展对海洋保护区可持续性融资的本土化研究和区域性评估,应成为各保护区探索适合本区域特征的融资体系的自然选择。     

巢湖蓝藻的机械清除工艺以及藻水分离实验研究简

对巢湖蓝藻进行机械清除以及藻水分离实验研究,实验采用的浮式围栏引导-机械清除-投加剥离液辅助机械清除工艺处理量大,除藻效率高,筛网过滤-浓缩-卧螺离心机脱水成藻泥的藻水分离工艺较为理想,藻泥含水率仅为89%。2011年5—10月在巢湖运用上述方法清除湖面水华蓝藻,共处理富藻水1.6万m³,得到藻泥970 t,累计清除蓝藻106.7 t（干重）。按照所清除蓝藻的总氮、总磷的平均含量计算,相当于从湖中移除了氮6.25 t,磷2.1 t。表明在富营养湖泊中水华蓝藻大量暴发时,采用上述方法除藻,对控制蓝藻水华污染,有效降低内源氮、磷等污染物负荷具有十分重要的作用。