Development and Operational Testing of a Super‐Ensemble Artificial Intelligence Flood‐Forecast Model for a Pacific Northwest River

Coastal catchments in British Columbia, Canada, experience a complex mixture of rainfall‐ and snowmelt‐driven contributions to flood events. Few operational flood‐forecast models are available in the region. Here, we integrated a number of proven technologies in a novel way to produce a super‐ensemble forecast system for the Englishman River, a flood‐prone stream on Vancouver Island. This three‐day‐ahead modeling system utilizes up to 42 numerical weather prediction model outputs from the North American Ensemble Forecast System, combined with six artificial neural network‐based streamflow models representing various slightly different system conceptualizations, all of which were trained exclusively on historical high‐flow data. As such, the system combines relatively low model development times and costs with the generation of fully probabilistic forecasts reflecting uncertainty in the simulation of both atmospheric and terrestrial hydrologic dynamics. Results from operational testing by British Columbia's flood forecasting agency during the 2013‐2014 storm season suggest that the prediction system is operationally useful and robust.     

Exploring the spatial dimension of community-level flood risk perception: a cognitive mapping approach

Environmental perceptions are central to individuals’ behavioural interactions with the environment. Cognitive maps, portraying a spatial representation of an individual’s environmental perception, can be aggregated to gain insight into the collective environmental perception of groups and populations. This paper uses cognitive mapping techniques to examine one aspect of environmental perception, flood risk perception, within a residential population (n?=?305). Flood risk perception was examined for the whole sample and six subgroup pairs. Using subgroups allowed examination of how factors previously shown to influence flood risk perception influence the cognitive map production in this population. We use a novel technique (slope analysis) to examine how the population’s perception of flood risk compares with expert assessments of flood risk, and compare the results of this novel technique with a commonly used cognitive map analysis technique (majority threshold method). Both methods identify areas where there is consensus within the population as to which areas are at risk of flooding. However, slope analysis usefully identifies areas where the population’s perception of flood risk lacks consensus, and is at odds with expert assessments of flood risk, without the loss of information inherent in the majority threshold method. Thus, this technique provides a novel approach to studies of environmental perception that can be widely applied within many fields.     

Molecularly imprinted polymer for analysis of trace atrazine herbicide in water

A molecularly imprinted polymer (MIP) for atrazine was synthesized by non-covalent method. The binding capacity of MIP was 1.00 mg g^{? 1} polymer. The selectivity and recovery were investigated with various pesticides which are mostly, found in the environment, for both similar and different chemical structure of atrazine. The competitive recognition between atrazine and structurally similar compounds was evaluated and it was found that the system provided highest recovery and selectivity for atrazine while low recovery and selectivity were obtained for the other compounds. The highest recovery was obtained from MIP compared with non-imprinted polymer (NIP), a commercial C₁₈ and a granular activated carbon (GAC) sorbent. The method provided high recoveries ranged from 94 to 99% at two spiked levels with relative standard deviations less than 2%. The lower detection limit of the method was 80 ng L^{? 1}. This method was successfully applied for analysis of environmental water samples.     

天然胶/公共网络/废胶粉互穿聚合物网络

通过互穿聚合物网络技术成功制备了天然橡胶/公共网络/废胶粉共轭三组分,并测定了力学性能和微观形态。结果表明:当A/B摩尔比为2/1、AB含量为4.5%、废胶粉粒径为60目、废胶粉含量为15%时,体系的力学性能最好,共轭三组分天然橡胶/公共网络/废胶粉体系的磨耗体积明显低于两组分天然橡胶/废胶粉体系的磨耗体积。界面共轭互穿改善了界面结合,可减少反复压缩过程中的相间摩擦生热和变形。     

聚合物/表面活性剂二元体系对油水界面性质的影响

文章应用界面张力仪、Zeta电位仪和表面黏弹性仪测定了聚合物、表面活性剂及其二元复合体系的质量浓度对油水界面性质的影响,并应用透射电镜观察了采出液的液膜结构。结果表明,随着聚合物质量浓度的增加,油水界面的界面剪切黏度值和界面张力值增大,颗粒表面Zeta电位的绝对值增大;随着表面活性剂质量浓度的增加,油水界面的界面剪切黏度变化幅度很小,但界面张力显著减小,颗粒表面Zeta电位绝对值增大;聚合物与表面活性剂复合能够形成稳定的聚合体,具有较大的界面剪切黏度值,较小的界面张力和较高的Zeta电位值;体系中聚合物、表面活性剂及水中悬浮物形成了类似"晶体"结构。     

硅肥耦合水分管理对复合污染稻田土壤As-Cd生物有效性及稻米累积阻控

选取湖南某矿区重金属镉、砷复合污染稻田土,以泰优390号为材料,通过盆栽试验研究湿润灌溉(CK)、农艺措施淹水(WF)、速溶硅肥结合淹水措施(FYsi)、矿物硅肥结合淹水措施(FKsi)及2种硅肥结合淹水(FYK)对土壤中As、Cd生物有效性及水稻糙米中As、Cd累积效应的影响.结果表明,淹水处理土壤p H值上升幅度为0.12~0.72个单位,均呈现先升高再下降,最后趋于中性的规律.淹水后,土壤Eh显著降低,FYsi、FKsi、FYK这3种配合硅肥的淹水处理土壤Eh值显著高于WF处理,与对照相比,淹水处理糙米中Cd含量降低了38.83%~65.05%,其中,WF、FYK处理对糙米Cd累积抑制效果最佳,糙米中Cd含量为0.98 mg·kg~(-1)、0.72 mg·kg~(-1);除WF处理糙米中As含量增加了36.64%外,FYsi、FKsi、FYK处理糙米中As的含量与对照相比分别降低了23.80%、38.10%、47.62%.FYsi、FYK处理对糙米As累积抑制效果最佳,糙米中As含量为0.13 mg·kg~(-1)、0.11 mg·kg~(-1).Cd各提取态含量与其在水稻糙米中的含量均呈现出极显著的正相关关系(P0.01);可交换态、TCLP提取态As与水稻糙米中As含量无显著相关关系.因此,FYsi、FKsi、FYK这3种施硅耦合淹水处理均可有效阻控稻米镉砷复合污染,其中FYK效果最佳.     

磁性纳米铁对厌氧颗粒污泥特性及其微生物群落的影响

考察了磁性纳米铁(Fe3O4NPs)对厌氧颗粒污泥溶解性微生物产物(SMP)、疏松胞外聚合物(LB-EPS)、紧密胞外聚合物(TB-EPS)的影响,同时利用高通量测序技术对厌氧颗粒污泥内微生物群落结构的变化进行了分析.结果表明,在长期接触实验过程中,投加Fe3O4NPs的反应器对COD去除率为83.6%,与对照组相比降低了5.7%.对照组与实验组中厌氧颗粒污泥TB-EPS含量(以VSS计)分别为178.20 mg·g-1和138.24 mg·g-1,而SMP含量分别为34.88 mg·L-1和27.44 mg·L-1;同时投加Fe3O4NPs后,在LB-EPS三维荧光(EEM)光谱中,紫外光区类腐殖酸荧光峰消失,辅酶F420荧光峰强度有所降低.在长期接触实验后,甲烷杆菌属(Methanobacterium)所占比例从76.15%增至86.76%,而甲烷丝菌属(Methanothrix)所占比例从17.1%降至7.51%,Methanothrix对于Fe3O4NPs更为敏感;总细菌群落变化明显,其中变形菌门(Proteobacteria)所占比例从66.44%降至47.16%,放线菌门(Actinobacteria)所占比例从8.97%增至17.33%,拟杆菌门(Bacteroidetes)所占比例从8.07%增至17.74%,厚壁菌门和拟杆菌门比例的增加对有机物的厌氧水解过程发挥积极的作用.     

聚糖菌颗粒污泥基于胞内储存物质的同步硝化反硝化

采用特殊运行方式的厌氧-好氧SBR系统(厌氧后排水),以乙酸钠为有机基质成功富集了聚糖菌颗粒污泥.聚糖菌颗粒污泥厌氧-好氧批式实验表明,聚糖菌颗粒污泥具有较强的SND能力,TOC/N分别为5.0,4.0,2.8时,SND效率分别96.4%、95.3%及96.2%,而周期总氮去除效率随着碳氮比降低而降低,分别为66.0%、61.2%及56.3%.通过对周期氨氮、亚硝酸盐氮、硝酸盐氮、TOC以及胞内糖原、PHB变化的测定分析,证明聚糖菌颗粒污泥SND过程中,污泥以厌氧阶段储存于胞内的多聚物PHB作为反硝化碳源,并且反硝化聚糖菌是系统中反硝化能力的来源.与溶解性基质相比,PHB的降解速率相对较低,因此在SND过程中,反硝化可以与硝化保持相近的速率,从而有助于获得良好的SND效果.     

CSM/EVA复合材料的阻燃与伸缩性能研究

采用机械共混法制备了EVA/CSM复合材料.系统地研究了EVA与CSM的混合比率、CSM交联及不同阻燃体系对复合材料阻燃性质的影响.结果表明,掺杂阻燃剂之后,复合材料都具有很好的阻燃性能,其中使用Sb2O3/氯乙醇混合阻燃体系,阻燃效果最好,且复合材料交联后,阻燃性能会进一步增强.同时研究了各种因素,如交联、混合比率和处理温度对复合材料收缩率的影响.当CSM含量较高或拉伸温度处于室温,收缩率都较好;而交联前,加入阻燃剂会使复合材料收缩性能降低;反之,交联后使之增加.     

反硝化生物膜对PBS表面形态及化学组分的影响

PBS是一种新型的可生物降解聚合物(BDPs),可以用做反硝化碳源和生物膜载体,去除饮用水源水中的硝酸盐.利用红外光谱和扫描电子显微镜对反硝化生物膜生长前后PBS颗粒表面形态、化学组成的变化进行了分析.结果表明,PBS仅在微生物作用下降解并为反硝化菌提供碳源.PBS颗粒可以在12 h内使进水中53 mg·L^-1的硝态氮降低到10 mg·L^-1以下(我国饮用水水质标准为:NO₃^--N<15 mg·L^-1).红外光谱表明,反硝化微生物附着生长后其PBS在2 925 cm^-1和2 850 cm^-1附近的吸收带以及3 200 cm^-1～3 410 cm^-1处峰值减弱,说明PBS材料中甲基、羟基官能团比例下降,而其它官能团没有发生明显的变化,PBS的主要单体组分淀粉和乙烯都可以被反硝化微生物用作碳源.扫描电子显微镜观察结果表明,反硝化生物膜附着生长后,PBS颗粒表面会出现空洞,扩大了生物膜生物附着生长的表面积,有利于形成致密的反硝化生物膜,对反硝化菌形成保护作用.