Plants with phytotoxic potential: Wollemi pine (Wollemia nobilis)

Herbicide resistance in annual ryegrass (ARG, Lolium rigidum) threatens the quality and yield of winter wheat crops in Australia, prompting research to discover novel natural plant compounds with herbicidal properties. Due to its novel nature and potentially interesting chemistry, the Australian native, Wollemi pine (Wollemia nobilis), was tested for its ability to suppress ARG growth and its feasibility for use in weed control strategies. The leaf extract of Wollemi pine significantly inhibited the growth of ARG and wild radish (Raphanus raphanistrum) in laboratory bioassays at concentrations above 1% extract. In soil trials, the 100% extract (100 g dried plant material/L) inhibited the dry weight of ARG by 25%. The addition of a wetting agent to the extract increased the suppression of ARG to 80% which was as phytotoxic as a 4-fold increase in the extract concentration (“400%” extract). Using bioassay-guided fractionation, the most phytotoxic fraction was identified and further analysed via GC/MS. Several compounds not previously identified in Wollemi pine leaf extracts have been identified, namely, 2-propylphenol, 3,4-dimethoxyphenol, 2-methoxybenzoic acid, vanillyl alcohol and isovanillic acid. These results suggest that Wollemi pine is an important potential source of compounds for the control of ARG and wild radish in winter crops.     

水体中卤乙酸(HAAs)的产生、测定方法与控制途径

对饮用水中普遍存在的消毒副产物形式HAAs的产生、测定方法以及控制途径进行了阐述.并对影响HAAs生成的主要因素投氯量、溴的影响以及卤乙酸副产物(HAAFP)含量等进行了分析.生物活性炭技术是一种非常有效的控制HAAs含量和减少HAAFP含量的方法,对于保障饮用水安全性具有重要意义.     

中国生态环境问题及环境保护计划

本将中国面临的生态环境问题归纳为七大问题,即：土地流失、土地荒漠化、森林覆盖面积减少、草原退化、自然灾害加剧、空气污染和酸雨、水污染和缺水。以统计数据为依据,从7个方面展现了生态环境的现状和遭受破坏的程度。扼要说明了由灾害和污染所造成的经济损失。介绍了中国政府就治理污染、防止生态环境破坏的环境保护计划。     

电催化氧化中的三种催化材料处理酸性红B染料的比较研究

本文采用三种不同催化机理的材料———半导体材料TiO2 、软锰矿石和混合稀土进行了电催化氧化 (ECO)染料酸性红B的研究 ,结果表明 ,稀土材料在ECO体系中呈负催化效应 ;软锰矿石的色度去除催化效果明显 ;TiO2 的催化效果最显著 ,其色度和COD去除效果可比无催化剂时效果分别提高60 %和 75% ,可以作为电催化氧化的催化剂。并进一步研究了TiO2 用量对电催化氧化 (ECO)的影响。     

Improving the accuracy of emission inventories with a machine-learning approach and investigating transferability across cities

ABSTRACT

This study presents a novel method for integrating the output of a microscopic emission modeling approach with a regional traffic assignment model in order to achieve an accurate greenhouse gas (GHG, in CO_2-eq) emission estimate for transportation in large metropolitan regions. The CLustEr-based Validated Emission Recalculation (CLEVER) method makes use of instantaneous speed data and link-based traffic characteristics in order to refine on-road GHG inventories. The CLEVER approach first clusters road links based on aggregate traffic characteristics, then assigns representative emission factors (EFs), calibrated using the output of microscopic emission modeling. In this paper, cluster parameters including number and feature vector were calibrated with different sets of roads within the Greater Toronto Area (GTA), while assessing the spatial transferability of the algorithm. Using calibrated cluster sets, morning peak GHG emissions in the GTA were estimated to be 2,692 tons, which is lower than the estimate generated by a traditional, average speed approach (3,254 tons). Link-level comparison between CLEVER and the average speed approach demonstrates that GHG emissions for uncongested links were overestimated by the average speed model. In contrast, at intersections and ramps with more congested links and interrupted traffic flow, the average speed model underestimated GHG emissions. This proposed approach is able to capture variations in traffic conditions compared to the traditional average speed approach, without the need to conduct traffic simulation.

Implications: A reliable traffic emissions estimate is necessary to evaluate transportation policies. Currently, accuracy and transferability are major limitations in modeling regional emissions. This paper develops a hybrid modeling approach (CLEVER) to bridge between computational efficiency and estimation accuracy. Using a k-means clustering algorithm with street-level traffic data, CLEVER generates representative emission factors for each cluster. The approach was validated against the baseline (output of a microscopic emission model), demonstrating transferability across different cities .     

Assessing the Eutrophication of Shengzhong Reservoir Based on Grey Clustering Method

Abstract

Reservoir water environment is a grey system. The grey clustering method is applied to assessing the reservoir water environment to establish a relatively complete model suitable for the reservoir eutrophication evaluation and appropriately evaluate the quality of reservoir water, providing evidence for reservoir management. According to China’s lakes and reservoir eutrophication criteria and the characteristics of China’s eutrophication, as well as certain evaluation indices, the degree of eutrophication is classified into six categories with the utilization of grey classified whitening weight function to represent the boundaries of classification, to determine the clustering weight and clustering coefficient of each index in grey classifications, and the classification of each clustering object. The comprehensive evaluation of reservoir eutrophication is established on such a foundation, with Sichuan Shengzhong Reservoir as the survey object and the analysis of the data attained by several typical monitoring points there in 2006. It is found that eutrophication of Tiebian Power Generation Station, Guoyuanchang and Dashiqiao Bridge is the heaviest, Tielusi and Qinggangya the second, and Lijiaba the least. The eutrophication of this reservoir is closely relevant to the irrational exploitation in its surrounding areas, especially to the aggravation of the non-point source pollution and the increase of net-culture fishing. Therefore, it is feasible to use grey clustering in environment quality evaluation, and the point lies in the correct division of grey whitening function     

基于底栖动物完整性指数的长江口-杭州湾潮间带水生态状况评价

利用生物完整性指数评价流域水生态状况,所得结果对水环境管理决策有重要指导意义。以2006年崇明东滩底栖动物监测数据为参照状态数据,利用长江口1991—2019年和杭州湾2004—2019年潮间带底栖动物监测数据构建底栖动物完整性指数(B-IBI),最终从56个候选指标中确定了6个核心指标:Marglef指数、软体动物相对多度、甲壳动物+多毛纲相对多度、ASPT、科级生物指数和捕食者相对多度。B-IBI评价结果显示:优秀等级样本有44个,良好等级72个,中等等级31个,较差等级7个,很差等级4个;杭州湾北岸水生态状况显著优于长江口南岸(P<0.05)。经验证,B-IBI与水质综合污染指数呈极显著相关(P<0.01),能够有效指示研究区域的水生态状况。     

热压机防火问题探讨

针对企业在热压机防火 方面的薄弱环节，具体分析着火原因，从多方面提出了防范措施。     

固定化微生物制备技术及生物脱氮研究

利用载体经干燥后机械强度得到提高的特性,建立一种低胶体浓度固定化微生物制备技术:包埋剂为5.5%PVA、0.45%SA,固定液为饱和硼酸与0.6%硫酸铝的混合液,包菌量为0.4g/mL包埋剂。小球硬化24 h后洗净并放入30℃鼓风干燥箱干燥3.5 h后备用。制备出的固定化微生物氨氧化速率为24.3 mg/(L·h),相对活性为77.7%。