Effects of productivity on biodiversity in forest ecosystems across the United States and China

In the global campaign against biodiversity loss in forest ecosystems, land managers need to know the status of forest biodiversity, but practical guidelines for conserving biodiversity in forest management are lacking. A major obstacle is the incomplete understanding of the relationship between site primary productivity and plant diversity, due to insufficient ecosystem‐wide data, especially for taxonomically and structurally diverse forest ecosystems. We investigated the effects of site productivity (the site's inherent capacity to grow timber) on tree species richness across 19 types of forest ecosystems in North America and China through 3 ground‐sourced forest inventory data sets (U.S. Forest Inventory and Analysis, Cooperative Alaska Forest Inventory, and Chinese Forest Management Planning Inventory). All forest types conformed to a consistent and highly significant (P < 0.001) hump‐shaped unimodal relationship, of which the generalized coefficients of determination averaged 20.5% over all the forest types. That is, tree species richness first increased as productivity increased at a progressively slower rate, and, after reaching a maximum, richness started to decline. Our consistent findings suggest that forests of high productivity would sustain few species because they consist mostly of flat homogeneous areas lacking an environmental gradient along which a diversity of species with different habitats can coexist. The consistency of the productivity–biodiversity relationship among the 3 data sets we examined makes it possible to quantify the expected tree species richness that a forest stand is capable of sustaining, and a comparison between the actual species richness and the sustainable values can be useful in prioritizing conservation efforts.     

The Role of Disaggregation of Asset Values in Flood Loss Estimation: A Comparison of Different Modeling Approaches at the Mulde River,Germany

In loss estimation there is a spatial mismatch of hazard data that are commonly modeled on an explicit raster level and exposure data that are often available only for aggregated administrative units. Usually disaggregation methods that use ancillary information to distribute lumped exposure data in a finer spatial resolution help to bridge this gap. However, the actual influence of different mapping techniques and ancillary data on the final loss estimation has not been analyzed yet. In this paper three methods are applied to disaggregate residential building assets using two kinds of land use/land cover (LULC) data. The resulting disaggregated assets are validated and compared using census data of the residential building number on the community and constituency level. In addition, the disaggregated assets are taken to estimate residential building losses due to the flood in August 2002 in 21 municipalities on the River Mulde in Saxony, Germany. Losses are calculated with the help of four loss models. In general, disaggregation helps to decrease the error variance within the loss estimation. It must, however, be stated that the application of sophisticated disaggregation methods does not lead to significant improvements compared to the straightforward binary method. Therefore more effort should instead be put into the provision of high-resolution LULC data. Finally, the remaining uncertainties in loss estimation are high and demand further improvements in all modeling aspects.     

长期暴露下纳米TiO2对厌氧颗粒污泥体系稳定性的影响

以厌氧颗粒污泥为研究对象,通过静态试验和连续流厌氧反应器,重点研究了长期暴露下纳米TiO_2在对厌氧产甲烷体系的影响及其在颗粒污泥中的归趋.结果表明,短期急性暴露于150 mg·g-1(以VSS计)的纳米TiO_2尽管会暂时减缓产甲烷速率,但产酸阶段及产甲烷阶段代谢产物总量不会明显受到影响,纳米TiO_2对厌氧颗粒污泥具有较低的急性毒性.反应器运行结果表明,纳米TiO_2的长期暴露可导致挥发性脂肪酸(VFAs)积累及生物气产量降低,产酸菌比产甲烷菌对纳米TiO_2的累积效应更加敏感,纳米TiO_2抑制机制可归因于"物理遮蔽"作用.出水中TiO_2的平均含量只有0.632 mg·L~(-1),绝大多数纳米TiO_2都被截留在了反应器中.FISH检测表明,厌氧颗粒污泥微生物的菌群结构有所变化,纳米TiO_2在反应器内的积累使得甲烷八叠球菌的丰度大幅增加了115.6%,其优势地位明显增强.长短期暴露试验的结果对比也说明,用短期暴露试验来说明纳米颗粒对厌氧体系的长期累积效应具有一定局限性,纳米TiO_2对厌氧颗粒污泥中微生物的负面影响需要较长时间的积累才会显现.本研究结果可为厌氧污水处理体系中纳米颗粒的潜在生态风险评价提供理论支持和参考依据.     

广西都安县耕地土壤重金属污染风险评价

为全面了解广西都安瑶族自治县耕地土壤重金属污染特征和生态风险状况,通过实地调查采样及土壤重金属含量分析,利用单因子指数、内梅罗综合指数、Hakanson潜在生态危害指数对都安县耕地土壤中Cd、As、Ni、Zn、Cr、Sb、Cu、Pb这8种重金属进行污染和生态风险评价.结果表明,都安县耕地土壤重金属总体污染严重,74.6%的耕地土壤点位超标,Cd、As、Ni、Zn、Cr、Sb、Cu、Pb的超标率依次为70.6%、42.9%、34.9%、19.8%、19.6%、2.94%、1.59%、0.79%,其中Cd和As超标率远远超过全国和广西水平,是都安县主要的污染元素.都安县耕地土壤总体呈现"中度"生态风险,其中Cd对生态风险贡献率达到88%;九渡乡东南部和保安乡与东庙乡结合部存在高生态风险.都安县耕地土壤重金属污染来自两个主要污染源,其中刁江流域两岸受污灌耕地土壤中As、Sb污染可能主要来源于刁江上游的矿业活动.     

生物滴滤塔装置脱硝效率优化改进实验

针对生物滴滤塔系统脱硝效率偏低的问题,在原实验室装置基础上,对滴滤塔系统进行改进,并模拟燃煤烟气的特性,考察了重金属离子、氧气含量以及强化剂对净化效果的影响,并探究了生物滴滤塔系统对锅炉非稳定运行工况的适应性。结果显示:烟气内的重金属离子对微生物具有较强的抑制作用,其中As离子和Pb离子对体系微生物组成的毒性影响最大,Zn离子的影响最小;氧气含量对脱硝效率影响的研究结果表明,系统含氧量越低,脱硝效率降低幅度越大;强化剂组合结果表明,亚硝酸钠+Fe(II)EDTA的组合,强化效果最为明显;生物滴滤塔脱硝系统对锅炉非稳定运行工况适应能力较差,系统停运再启动,停运1周之内,系统经过10 d可以恢复至原来的性能,如果停运12 d以上,系统恢复则长达30 d。根据研究结果,为中试研究提出优化及研究方向建议。     

广西壮族自治区污水处理厂运行状况及特征分析

基于广西壮族自治区126座污水处理厂2015年运行状况的调查数据,分析广西污水处理厂的工艺特点、污泥处置、出水水质达标情况、运行负荷率和运行费用,评估污水处理厂运行的效率和效果,分析存在的问题,并就污水处理厂的运行和管理提出建议。     

梁平县境内高滩河水质的空间分布及其对土地利用方式的响应

以梁平县境内高滩河流域为研究对象,综合应用GIS空间分析、Pearson相关分析和RDA冗余分析方法,研究在子流域尺度上COD、BOD5、氨氮和总磷4种水质要素对土地利用方式的生态响应。结果表明:高滩河流域土地利用类型对水质要素有着重要影响,林地能够改善河道水环境,旱地和城镇村和工矿用地是COD、BOD5和氨氮的主要污染来源,园地、交通运输用地以及水域对污染物的影响较弱,说明农业面源污染和农村居民生活污染是高滩河水质恶化的主要原因。     

餐厨垃圾处理厂规划用地控制标准研究

介绍了现有规范中餐厨垃圾处理厂用地标准,分析了现有标准中处理厂分类标准以及综合用地指标等方面存在的问题,结合现状全国餐厨垃圾处理厂建设情况对处理厂处理工艺进行了分析,并重点对影响处理厂用地面积的两个核心因素——设计规模和用地指标进行了研究,从而得出科学合理的处理厂规划用地控制标准.规划新增餐厨垃圾处理厂时应采用先进工艺(如厌氧&好氧协同工艺),经分析表明应依据实际情况并参考现有工程案例的分析结果确定设计规模和用地指标.     

一种厌氧微观定量研究新方法

厌氧消化由于低成本和能源回收等优点越来越引起广泛关注.为克服现有方法研究动态厌氧过程的不足,基于微反应器和定量图像分析技术开发出一种新型的污泥层面的微观定量方法.试验首次展示了静态下颗粒污泥产气的动态过程和特点.试验结果重复性好.静态产气可分为3个阶段,分别是高速线性增加阶段、减速增加阶段和低速线性增加阶段.初始有机负荷较高时,高速线性增加阶段比较长,产气速率也比较高.结果表明,微反应器中进行厌氧产甲烷过程是可行的,该方法可靠,能够在微观层面直观地展示厌氧反应的动态过程,研究结果有利于增进对厌氧过程理解.     

电站运营对北溪下游水质影响探讨及改进建议

文章通过对利水电站坝上、坝下布设监测断面,进行为期近一个月的枯水期水质监测,分析上下游水质的变化以期对梯级电站的建设与运营对北溪下游水质的影响进行研究,认为梯级电站的建设运行,形成梯级水库,流速变缓,大气覆氧能力降低,水中溶解氧下降,导致水体自净能力减弱,使水环境容量降低,对污染物的稀释、混合和降解能力减弱,湖库富营养化是水库的主要生态环境问题。为此,提出污染防治对策,并提出当上游污染水团下泄时,作为补救和改善水质时电站应采取的运行方式,为今后河流的突发污染防治、水质保护与改善提供经验借鉴。