山东省1960—2011年参考作物蒸散量变化特征研究

为了研究山东省参考作物蒸散量（ET0）的变化特征,选取属于湿润气候的成山头站以及属于半湿润气候的惠民站、济南站、潍坊站、定陶站、兖州站6个气象站,利用国家气象资料中心提供的1960—2011年的逐日气象资料,采用距平分析、回归分析和地理信息系统分析了山东省ET0的年代际、年际和年内的时空变化趋势,并通过偏相关分析及标准化偏回归系数对各站ET0的影响因素进行研究。结果表明：半湿润区ET0年代均值大于湿润区ET0年代均值,其中济南站最大,最大值出现在20世纪70年代,达到1269.2 mm,成山头站最小,最小值也出现在20世纪70年代,为900.8 mm;6个站点中,济南站ET0值年际间的变化最大,极差达到351.9mm,定陶的极差最小,为157.8 mm。潍坊的ET0年际波动最大,标准差达到74.4 mm;定陶的年际ET0标准差达到51.4 mm,波动最小。6个站点的ET0年均值随时间呈现不同程度的降低,其中潍坊和兖州为极显著,济南和定陶为显著降低。ET0年均值在空间上的分布规律为：济南站〉潍坊站〉惠民站〉兖州站〉定陶站〉成山头站;6个站点的ET0都是夏季最高,冬季最低。春季平均ET0值中部地区最大,达到409.0 mm,东北部沿海区最小,只有237.2 mm。夏季平均ET0值的空间分布与全年平均ET0值的空间分布较为一致,只在惠民站为中心的小区域内出现降低,与周围区域有反差。秋、冬季平均ET0值在中部及东北部均较大,东北部最大,西南部及西北部较小,最小值出现在西南地区。半湿润气候的惠民站、济南站、潍坊站、定陶站、兖州站的ET0随时间的年内变化曲线为单峰型,峰值均出现在夏季6月,全年的第162天。湿润气候下成山头站的ET0随时间的年内变化曲线呈双峰型,峰值分别出现在春季5月,全年第150天以及秋季9月,全年第270天;山东省ET0与气象要素间的相关性很好,除成山头站的最低气温外,均达到极显著水平。影响山东省湿润气候和半湿润气候ET0变化的主要气象要素分别为最高气温和平均气温。     

珠江三角洲土地利用变化对特征大气污染物扩散的影响

在珠江三角洲两种下垫面条件下,应用CALPUFF大气污染扩散模式,对特征污染物SO2、SO42-的扩散进行数值模拟,探讨大规模土地利用变化,尤其是城镇建设用地增加,对珠江三角洲地区大气污染物扩散的影响,并通过对4个典型区污染物月均质量浓度变化特征分析,揭示土地利用变化对不同地区的污染物分布的影响机制。模拟结果表明：土地利用变化,尤其是城镇建设用地增加,不利于污染物扩散,污染源下风方向地区受影响较大,污染物质量浓度明显升高,SO2和 SO42-年均质量浓度分别增加14.07%和3.31%;受影响范围、变化幅度与污染源排污强度呈正相关,变化幅度亦与污染源距离远近呈负相关。土地利用变化后,尤其是城镇建设用地增加,四个典型区 SO2月均质量浓度都表现为升高趋势,且冬季 SO2质量浓度升高幅度最大,夏季升高幅度最小,临近污染源密集区的两个典型区SO2月均质量浓度分别增加33.6%和26.3%。土地利用变化不仅改变局地的污染扩散,也会对区域的污染扩散有一定影响,尤其对污染源分布密集区的大气污染物扩散影响强度最大。因此,建议人类在城市化建设过程中尽可能保留自然斑块,消除人工下垫面对污染物扩散的负面影响。     

淮河中上游参考作物腾发量趋势变化及其成因

参考作物腾发量(ET0)是由平均气温(Tm)、实际水汽压(ea)、风速(u2)和净辐射(Rn)等多个气候要素驱动的,因此,气候变化对ET0的影响是显而易见的。分析ET0和各气候要素的时空变化特征可以获得气候变化对ET0的影响。利用Mann-Kendall(MK)检验分析了淮河中上游流域1959—2009年ET0及各气候要素的变化趋势。并且利用偏相关分析和贡献分析获得ET0和主要气候要素之间的定性和定量关系。结果显示,大部分站点的年ET0表现出显著的下降趋势。在夏季,所有站点的ET0都表现出显著的下降趋势,且西北部地区尤其显著。其他3个季节显著下降的ET0趋势主要分布在淮河中上游流域的西北部地区。年及夏季的ET0在1970年以后表现出下降的趋势并且在1975年以后变的显著,其余3个季节ET0并无明显变化特征,说明夏季ET0的显著减少是年ET0显著减少的主要原因;实际水汽压与ET0之间表现出显著的负相关关系,而平均温度、净辐射和风速则表现出显著的正相关关系;无论从定性的偏相关关系还是定量的贡献分析都可看出虽然年及四季的平均气温是显著上升的,并且导致了ET0的增加,但是整个流域显著下降的风速和净辐射直接导致了年及夏季ET0的显著减少。     

Nexus security: governance, innovation and the resilient city

Nexus security is a compound mix of ideas: reconciling human needs and wants with access to multiple resources; diversity of access to those resources and services; resilience in the face of weather- and climaterelated variability; resilience likewise in the face of infrastructure failure; and the personal, individual sense of belonging. At the level of Systems Thinking there is a very close relationship between resilience in the behavior of natural (ecological) systems and resilience in the social dynamics of governance within communities, where such resilience establishes the viability of these communities over centuries, which in turn entails successful stewardship of the man-environment relationship. We use insights from this cross-system mapping — across natural, built, and human systems — to assess, first, the role of city governance in achieving nexus security (or not) and, second, the role of technological innovations in serving the same purpose. More specifically, eight principles, covering resilience and diversity of access to resources and services, are used to gauge security-enhancing features of city buildings and infrastructure. Case studies include new designs of resilient office blocks, nutrient (nitrogen and phosphorus) recovery systems for sanitation and wastewater treatment, and the reconstruction of urban parks for the provision of ecosystem services. Throughout the paper, matters of risk in the face of meteorological variability are prominent. We do not conclude, however, that the presence of risk implies nexus insecurity.     

紫外光催化氧化在污水处理厂除臭工程中的应用

通过采用合适的构筑物加盖形式,设计合理的换气次数,采用自行研制的紫外光催化氧化设备处理广东某污水处理厂产生的恶臭气体,运行结果表明:该设备具有除臭效率高、操作简单、阻力小及不产生二次污染的优良性能;该工艺对产生恶臭的物质均能达标排放,且占地少,投资省,适合用于城镇污水处理厂除臭工程,具有良好的经济效益和广阔的发展前景。     

气候变化对珙桐分布的潜在影响

分析气候变化对植物分布的影响,对气候变化影响下的生物多样性保护具有重要意义. 利用分类和回归树 (Classification and Regression Tree,CART)生态位模型,设定A1,A2,B1和B2 4种气候变化情景,模拟分析了气候变化对珙桐(Davidia involucrata Baill)分布的影响. 结果表明:随气候变化,珙桐目前适宜分布范围将减小,但新适宜及总适宜分布范围将扩大;珙桐适宜分布范围在模拟时段呈缩小趋势,在A1情景下减幅最大,B1情景下减幅最小. 气候变化后,由于珙桐目前适宜分布范围的东部、南部、北部、东北部和东南部地区缩小,而新适宜分布范围将主要向我国西部及西南部地区扩展,因此,目前适宜分布范围将被破碎化. 气温变化对珙桐分布范围的影响大于降水量的影响.      

A multi-scale approach to modelling spatial and dynamic ecological patterns for reservoir's water quality management

With growing levels of urbanization and agriculture throughout the world, it is increasingly important that both research and management efforts take into account the effects of this widespread landscape alteration and its consequences for natural systems. Freshwater ecosystems, namely reservoirs, are particularly sensitive to land use changes. In this context, modelling can be very useful, for decision support, as an investigative tool to forecast the outcome of various scenarios, to guide current management in order to meet future targets and to develop integrated frameworks for management accordingly to the Water Framework Directive (WFD). The present paper examined the applicability of a holistic Stochastic-Dynamic Methodology (StDM), coupled with a Cellular Automata (CA) model, in capturing how expected changes at land use level will alter the ecological status of lentic ecosystems, namely at physicochemical and biological levels. The methodology was applied to Portuguese reservoirs located in the Douro's basin and illustrated with a series of stochastic-dynamic and spatial outputs taking into account expected scenarios regarding land use changes. Overall, the simulation results are encouraging since they seem to demonstrate the tool reliability in capturing the stochastic environmental dynamics of the selected metrics facing spatial explicit scenarios. The ultimate goal was to couple monitoring assessment and the described modelling techniques to ease management and decision making regarding the practical implementation of the WFD, both at the scale of the reservoir body and at the scale of the respective river watershed dynamics.     

A Realistic Assessment of the Indicator Potential of Butterflies and Other Charismatic Taxonomic Groups

Abstract:  Charismatic groups of animals and plants often are proposed as sentinels of environmental status and trends. Nevertheless, many claims that a certain taxonomic group can provide more-general information on environmental quality are not evaluated critically. To address several of the many definitions of indicator species, we used butterflies to explore in some detail the attributes that affect implementation of indicators generically. There probably are few individual species, or sets of species, that can serve as scientifically valid, cost-effective measures of the status or trend of an environmental phenomenon that is difficult to measure directly. Nevertheless, there are species with distributions, abundances, or demographic characteristics that are responsive to known environmental changes. In this context, single or multiple species can serve as indicators when targets are defined explicitly, ecological relationships between the target and the putative indicators are well understood, and data are sufficient to differentiate between deterministic and stochastic responses. Although these situations exist, they are less common than might be apparent from an extensive and often confounded literature on indicators. Instead, the public appeal of charismatic groups may be driving much of their acclaim as indicators. The same taxon may not be appropriate for marketing a general conservation mission and for drawing strong inference about specific environmental changes. To provide insights into the progress of conservation efforts, it is essential to identify scientific and practical criteria for selection and application of indicators and then to examine whether a given taxonomic group meets those criteria .     

Exploring the relationship between residential segregation and thermal inequity in 20 U.S. cities

A combination of the urban heat island effect and a rising temperature baseline resulting from global climate change inequitably impacts socially vulnerable populations residing in urban areas. This article examines racial/ethnic and socioeconomic inequities in the spatial distribution of exposure to urban heat in the context of climate justice and residential segregation in the U.S. An urban heat risk index (UHRI) is calculated from measures of land surface temperature, structural density, and vegetation abundance, acquired from summer 2010 remote sensing imagery. Twenty of the largest metropolitan statistical areas (MSAs) in the U.S. are selected and analysed using census tract-level socio-demographic data from the U.S. Census. Multilevel modelling is utilised to examine the statistical associations between urban heat, minority status, socioeconomic disadvantage, and MSA-level segregation of racial/ethnic minority groups. Variables representing socioeconomic status (i.e. household income, home ownership, and education level) are consistently and significantly associated with greater urban heat exposure. Minority status and measures of segregation have a significant but varied relationship with urban heat exposure, indicating that there are inconsistent associations with urban heat due to differing social geographies. Urban heat and social vulnerability present a varying landscape of thermal inequity in different metropolitan areas, associated in many cases with residential segregation.