不同相对分子质量PBS基共聚物的降解产物对土壤微生物的影响研究

以陕西花园土为供试土样,采用室内模拟实验,在土壤中加入一定量的聚丁二酸丁二醇酯（PBS）,研究不同数均相对分子质量的PBS（Mn分别为3.46×103、8.13×103、1.60×104、3.50×104）对土壤呼吸强度,微生物（细菌（bacteria）、真菌（fungi）、放线菌（actinomycetes））数量的影响,以此来探讨PBS降解产物对土壤微生物生理特性的影响。研究结果表明：①相对分子质量为3.46×103和8.13×103的PBS在其质量分数较低时有利于土壤呼吸强度的增加,有利于细菌的生长,最大增长幅度达到40%,在其质量分数较高时有利于真菌生长,最大增长幅度达到500%。②相对分子质量为1.60×104和3.00×104的PBS随着PBS质量分数的升高,对土壤呼吸强度和微生物数量的促进作用相应增加,对土壤呼吸强度的提高幅度最大达11.6%,对真菌的提高幅度达178%。     

Modeling Hydrologic Benefits of Low Impact Development: A Distributed Hydrologic Model of The Woodlands,Texas

Low Impact Development (LID) is alternative design approach to land development that conserves and utilizes natural resources to minimize the potential negative environmental impacts of development, such as flooding. The Woodlands near Houston, Texas is one of the premier master‐planned communities in the United States. Unlike in a typical urban development where riparian corridors are often replaced with concrete channels, pervious surfaces, vegetation, and natural drainage pathways were preserved as much as possible during development. In addition, a number of detention ponds were strategically located to manage runoff on site. This article uses a unique distributed hydrologic model, Vflo?, combined with historical (1974) and recent (2008 and 2009) rainfall events to evaluate the long‐term effectiveness of The Woodlands natural drainage design as a stormwater management technique. This study analyzed the influence of LID in The Woodlands by comparing the hydrologic response of the watershed under undeveloped, developed, and highly urbanized conditions. The results show that The Woodlands drainage design successfully reflects predeveloped hydrologic conditions and produces peak flows two to three times lower than highly urbanized development. Furthermore, results indicate that the LID practices employed in The Woodlands successfully attenuate the peak flow from a 100‐year design event, resulting in flows comparable to undeveloped hydrologic conditions.     

IPF混凝过程的定量计算模式(I):PCNM的应用

水处理过程IPF的混凝作用机理研究逐渐向半定量乃至定量化发展 .以典型IPF 颗粒物 水溶液体系的相互作用为例 ,对PCNM模式的应用从混凝剂的形态分布、投药量、pH以及其它影响因素加以研究讨论 .结果表明 ,经适当改进的PCNM能够较好地预测聚合铝的混凝特征 ,实验结果与模式预测值基本吻合 .对PCNM模式中存在的若干问题亦进行了详细讨论     

A Hydraulic MultiModel Ensemble Framework for Visualizing Flood Inundation Uncertainty

While deterministic forecasts provide a single realization of potential inundation, the inherent uncertainty associated with forecasts also needs to be conveyed for improved decision support. The objective of this study was to develop an ensemble framework for the quantification and visualization of uncertainty associated with flood inundation forecast maps. An 11‐member ensemble streamflow forecast at lead times from 0 to 48 hr was used to force two hydraulic models to produce a multimodel ensemble. The hydraulic models used are (1) the International River Interface Cooperative along with Flow and Sediment Transport with Morphological Evolution of Channels solver and (2) the two‐dimensional Hydrologic Engineering Center‐River Analysis System. Uncertainty was quantified and augmented onto flood inundation maps by calculating statistical spread among the ensemble members. For visualization, a series of probability flood maps conveying the uncertainty in forecasted water extent, water depth, and flow velocity was disseminated through a web‐based decision support tool. The results from this study offer a framework for quantifying and visualizing model uncertainty in forecasted flood inundation maps.     

高分子材料服役寿命预测方法最新进展

高分子材料在使用过程中,由于受各种环境因素作用,会逐步出现性能下降,甚至丧失使用价值的老化现象,不仅造成资源浪费,更形成安全隐患。为应对老化问题,研究者以各种宏观性能或微观结构、组份的变化来表征老化过程,针对高分子材料的环境适应性开展了大量研究工作,并在此基础上提出了不同的老化机理和服役寿命预测方法。从高分子材料老化过程表征的视角,综述了近年来高分子材料服役寿命预测方法的最新进展。     

Does community resilience mitigate loss and damage from climaterelated disasters? Evidence based on survey data

Policy-makers view community resilience as fundamental to mitigating loss and damage from climate-related disasters. Although energy has been devoted to defining resilience, less effort has been devoted to analysing the effects of resilience on loss and damage, which is critical in places with limited capacity for adaptation. We use survey data to develop a composite index of community resilience in Fiji and then evaluate the extent to which community resilience mitigates loss and damage. We find that community resilience is negatively correlated with damages over which human intervention may be effective, but not with damages over which intervention is less effective, suggesting that community resilience may limit impacts. We further find that this result holds for a cyclone (about which communities had substantial advance warning) but not for river flooding (for which communities had little advanced warning), suggesting that early warning is necessary for community resilience to become responsive.     

Evaluating the suitability of policy instruments for urban flood risk reduction

ABSTRACT

City governments have access to a range of policy instruments to reduce flood risk, but choosing among these tools is challenging. This article identifies fourteen different policy instruments that could contribute to urban flood risk reduction and draws on interviews with expert stakeholders to score these instruments across eight evaluation criteria. The results indicate which policy tools the interviewees consider to be most and least suitable and illuminate the trade-offs inherent in instrument selection. Complementary relationships between the various instruments are also considered in the context of instrument mixes – combinations of multiple policy tools designed to maximise urban flood risk reduction.     

Physically Based,Hydrologic Model Results Based on Three Precipitation Products1

Abstract: The main objective of the study is to examine the accuracy of and differences among simulated streamflows driven by rainfall estimates from a network of 22 rain gauges spread over a 2,170 km² watershed, NEXRAD Stage III radar data, and Tropical Rainfall Measuring Mission (TRMM) 3B42 satellite data. The Gridded Surface Subsurface Hydrologic Analysis (GSSHA), a physically based, distributed parameter, grid‐structured, hydrologic model, was used to simulate the June‐2002 flooding event in the Upper Guadalupe River watershed in south central Texas. There were significant differences between the rainfall fields estimated by the three types of measurement technologies. These differences resulted in even larger differences in the simulated hydrologic response of the watershed. In general, simulations driven by radar rainfall yielded better results than those driven by satellite or rain‐gauge estimates. This study also presents an overview of effects of land cover changes on runoff and stream discharge. The results demonstrate that, for major rainfall events similar to the 2002 event, the effect of urbanization on the watershed in the past two decades would not have made any significant effect on the hydrologic response. The effect of urbanization on the hydrologic response increases as the size of the rainfall event decreases.     

含硅无机高分子絮凝剂的研究进展

含活性硅酸的无机高分子絮凝剂(Si-IPF)是近几年发展迅速的新型、高效无机高分子絮凝剂的代表。文章对国内外si-IPF的研制开发情况进行了分析评述，为今后发展提出了几点建议：(1)加强制备新工艺研究，积极探索制备高浓度si-IPF的最佳工艺条件，提高产品的稳定性和絮凝效果。(2)加强絮凝作用机理研究。找出提高Si-IPF稳定性及提高Si-IPF中对絮凝效果起实际作用的有效成分含量的具体方法。(3)开展应用研究，开发满足不同水质的多功能新产品，并确定其最佳应用条件和适用范围。     

BIVARIATE FREQUENCY ANALYSIS OF FLOODS USING COPULAS1

Abstract: Bivariate flood frequency analysis offers improved understanding of the complex flood process and useful information in preparing flood mitigation measures. However, difficulties arise from limited bivariate distribution functions available to jointly model the correlated flood peak and volume that have different univariate marginal distributions. Copulas are functions that link univariate distribution functions to form bivariate distribution functions, which can overcome such difficulties. The objective of this study was to analyze bivariate frequency of flood peak and volume using copulas. Separate univariate distributions of flood peak and volume are first fitted from observed data. Copulas are then employed to model the dependence between flood peak and volume and join the predetermined univariate marginal distributions to construct the bivariate distribution. The bivariate probabilities and associated return periods are calculated in terms of univariate marginal distributions and copulas. The advantage of using copulas is that they can separate the effect of dependence from the effects of the marginal distributions. In addition, explicit relationships between joint and univariate return periods are made possible when copulas are employed to construct bivariate distribution of floods. The annual floods of Tongtou flow gauge station in the Jhuoshuei River, Taiwan, are used to illustrate bivariate flood frequency analysis.