Systematic Temporal Patterns in the Relationship Between Housing Development and Forest Bird Biodiversity

As people encroach increasingly on natural areas, one question is how this affects avian biodiversity. The answer to this is partly scale‐dependent. At broad scales, human populations and biodiversity concentrate in the same areas and are positively associated, but at local scales people and biodiversity are negatively associated with biodiversity. We investigated whether there is also a systematic temporal trend in the relationship between bird biodiversity and housing development. We used linear regression to examine associations between forest bird species richness and housing growth in the conterminous United States over 30 years. Our data sources were the North American Breeding Bird Survey and the 2000 decennial U.S. Census. In the 9 largest forested ecoregions, housing density increased continually over time. Across the conterminous United States, the association between bird species richness and housing density was positive for virtually all guilds except ground nesting birds. We found a systematic trajectory of declining bird species richness as housing increased through time. In more recently developed ecoregions, where housing density was still low, the association with bird species richness was neutral or positive. In ecoregions that were developed earlier and where housing density was highest, the association of housing density with bird species richness for most guilds was negative and grew stronger with advancing decades. We propose that in general the relationship between human settlement and biodiversity over time unfolds as a 2‐phase process. The first phase is apparently innocuous; associations are positive due to coincidence of low‐density housing with high biodiversity. The second phase is highly detrimental to biodiversity, and increases in housing density are associated with biodiversity losses. The long‐term effect on biodiversity depends on the final housing density. This general pattern can help unify our understanding of the relationship of human encroachment and biodiversity response. Patrones Sistemáticos Temporales en la Relación entre Desarrollos Urbanos y la Biodiversidad de Aves de Bosque     

燃煤电厂烟塔合一排烟风洞试验与数值模拟对比分析

近年来,燃煤电厂烟塔合一烟气排烟对近距离环境影响的不确定性,使其在国内的推广过程受到一定限制。准确判断烟塔合一排烟的环境影响,对于我国现有燃煤电厂烟气污染物的排放有着巨大的工程价值和明显的现实意义。利用国家环境保护某重点实验室中风洞试验平台,对燃煤电厂烟塔合一烟气污染物在近距离的扩散和传输行为,进行物理风洞试验以及数值模拟计算,并进行对比分析。结果表明:德国Austal2000模式的浓度预测并不精确;数值风洞也有其差异性,而物理风洞的结果在很大程度上符合现有的理论及国内工程实际。     

铝合金-丁腈橡胶航空带垫卡箍典型环境损伤研究

目的研究典型环境对丁腈橡胶-铝合金带垫卡箍的损伤效应。方法通过模拟铝合金-丁腈橡胶航空带垫卡箍使用时的装配结构和应力状态,应用GJB 150A—2009中的湿热和太阳辐射两种典型老化环境,采用宏观形貌观察、卡箍保持力测试和橡胶衬垫拉伸性能测试方法,结合扫描电子显微镜和傅里叶红外光谱技术,分析带垫卡箍的性能劣化过程。结果带垫卡箍在湿热和太阳辐射环境中老化50 d后,卡箍橡胶衬垫表面出现大量微孔缺陷,拉伸性能大幅降低,导致卡箍保持力分别下降了35%和51%。结论带垫卡箍在模拟装配状态下进行湿热和太阳辐射环境暴露实验,卡箍橡胶衬垫内部结构由致密逐渐变得疏松,部分碳碳双键发生氧化交联反应,并在一定程度上提高了聚合物的交联密度,材料硬度提高,回弹性能减弱,橡胶衬垫对芯轴的包裹能力降低,导致卡箍保持力性能降低。     

中国煤炭资源不同区带的生态环境特征

中国煤炭的“井”字型分布格局除了是对煤炭资源地质的、地理的、社会经济的区域分异现象,同时也基本是对不同煤炭资源发展区的生态环境特征进行区域上的归结。论文总结了不同煤炭资源发展区的生态环境特征和存在的主要生态环境问题。     

黑藻吸附Cu2+机制研究

生物吸附法是一种经济有效的去除废水中有害重金属离子的方法.以黑藻(Hydrilla verticillata)干样为生物吸附材料,研究了黑藻对水体中Cu<'2+>等温吸附的基本特征,并通过测定吸附前后溶液离子浓度变化以及pH值、基团屏蔽对Cu<'2+>吸附的影响,结合红外光谱技术,从静电吸附作用、离子交换作用、基团作用...     

优势微生物菌群消减有机污泥作用效果分析

本文阐述用优势微生物菌群消解有机污泥的作用效果及原因,指出了优势菌群的构成类别和消解特点。实验结果表明,污泥消解率可达到55%,且过程对出水水质不产生负面影响,水质指标均符合GB18918-2002要求。     

改性粉煤灰处理黑化集团焦化含酚废水的研究

焦化废水是一种典型的含有难降解有机污染物的工业废水,除含有酚类化合物外,还含有多种芳香烃和杂环类有机污染物,成分复杂,水量大,对环境污染严重。因此,焦化废水处理技术越来越受到环保部门的重视。本文摸索了改性粉煤灰处理焦化含酚废水的试验工艺条件,确定了反应条件,反应时间和反应温度。     

Causes of change in nitrophytic and oligotrophic lichen species in a Mediterranean climate: impact of land cover and atmospheric pollutants

With the aim of determining the main drivers of changes in nitrophytic and oligotrophic macro-lichen communities in an industrial region with a Mediterranean climate, we considered both land-cover types and atmospheric pollutants. We determined the relation between the abundance of nitrophytic and oligotrophic species with environmental factors considering the distance of influence of land-cover types. The results showed that oligotrophic species decreased in the proximity of artificial areas, barren land and agricultural areas, associated with higher concentrations of NO₂ and Zn, and Ti, probably dust of industrial and agricultural origin. Nitrophytic species were positively related to all the mentioned land-cover types, and with higher concentrations of Fe and N. Magnesium, probably from ocean aerosols, was negatively related to oligotrophic species and positively to nitrophytic.     

The effects of landscape-level disturbance on the composition of Minnesota caddisfly (Insecta: Trichoptera) trophic functional groups: evidence for ecosystem homogenization

Over 300,000 caddisfly specimens representing 249 species were collected from nearly 250 sites throughout Minnesota during 2000 and 2001 to determine the effects of human disturbance on the composition of caddisfly trophic functional groups at the landscape level. Canonical correspondence analysis determined that stream width was the most important variable influencing functional group composition in regions of the state with relatively low disturbance, and that differences in the caddisfly fauna between sizes of streams generally followed trends predicted by the river continuum concept. In regions of the state with moderate disturbance, both stream width and the percentage of disturbed habitat upstream of a site were important variables influencing functional group composition. In highly disturbed regions, no variables corresponded to changes in the composition of caddisfly functional groups. Instead, ecosystems were homogeneous: fine-particle filtering collectors dominated in all sizes of streams. The observed aquatic ecosystem homogenization is attributed mostly to input of fine-particle organic and inorganic sediment from extensive agriculture.     

Irrigation Water Allocation Using an Inexact Two‐Stage Quadratic Programming with Fuzzy Input under Climate Change

Agricultural irrigation accounts for nearly 70% of the total water use around the world. Uncertainties and climate change together exacerbate the complexity of optimal allocation of water resources for irrigation. An interval‐fuzzy two‐stage stochastic quadratic programming model is developed for determining the plans for water allocation for irrigation with maximum benefits. The model is shown to be applicable when inputs are expressed as discrete, fuzzy or random. In order to reflect the effect of marginal utility on benefit and cost, the model can also deal with nonlinearities in the objective function. Results from applying the model to a case study in the middle reaches of the Heihe River basin, China, show schemes for water allocation for irrigation of different crops in every month of the crop growth period under various flow levels are effective for achieving high economic benefits. Different climate change scenarios are used to analyze the impact of changing water requirement and water availability on irrigation water allocation. The proposed model can aid the decision maker in formulating desired irrigation water management policies in the wake of uncertainties and changing environment.