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。     

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。     

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 .     

Fluorescence excitation–emission matrix spectra coupled with parallel factor and regional integration analysis to characterize organic matter humification

The present several humification indexes cannot provide the whole fluorescence information on organic matter composition and the evaluation results from them are inconsistent sometimes. In this study, fluorescence excitation–emission matrix spectra coupled with parallel factor analysis and fluorescence regional integration analysis were utilized to investigate organic matter humification, and the projection pursuit cluster (PPC) model was applied to form a suitable index for overcoming the difficulties in multi-index evaluation. The result showed that the ratio between the volume of humic- and fulvic-like fluorescence region and the volume of protein-like fluorescence region not only revealed the heterogeneity of organic matter, but also provided more accurate information on organic matter humification. In addition, the results showed that the PPC model could be used to characterize integrally the humification, and the projected characteristic value calculated from the PPC model could be used as the integrated humification evaluation index.     

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。     

Identification of causative compounds and microorganisms for musty odor occurrence in the Huangpu River, China

There are regular problems of musty odor in the Huangpu River,a major source of drinking water for Shanghai,China.In this study,the musty odor and its main causative compounds in the Huangpu River source water were confirmed through a yearly investigation using flavor profile analysis combined with HSPME-GC-MS analysis.The investigation showed that 2-methylisoborneol (2-MIB) with a concentration level between 28.6 and 71.0 ng/L was responsible for the musty odor in summer from July to September.Microscopic observation confirmed with the cloning results showed that Phormidium spp.,which accounted for 80%-95% of the algal cell density,was the microorganisms responsible for the production of 2-MIB and the estimated 2-MIB yield was 0.022 pg/cell.Results from a wide-area sampling campaign in the Huangpu River watershed showed that,other than the large tributaries receiving water from Tai Lake,several small creeks close to the intake may have contributed most of the 2-MIB and the Phormidium spp.to the Huangpu River source water.This study provides methodology for the investigation of odor causing compounds and microorganisms in river-type source water,and the result will be useful for water quality control in both source water and drinking water.     

基于层次分析法的城市河流生态修复评估

城市的发展改变了许多河流的自然水文环境,并导致河流生态系统中水质、物理生境和生物完整性下降。评估受损河流水体修复的效果,需要结合物理、化学的参数,以及对生物结构、多样性和过程的影响。构建了包含河流水力、水质、水生生物、河岸带及物理结构5个方面15个指标的城市河流生态修复评估指标体系,运用群组决策的层次分析法(AHP),确定了各指标的权重,重要性排序前5位依次为：水质污染指数、鱼类IBI、水源补给量、藻类多样性、透明度。并以我国南方城市岐江河整治修复状况为例进行综合评价,结果表明,河流生态系统修复评估结果为可以接受,体现了河流整治工程使河流水质、生态的状况有所改善,但河流生态系统恢复需要较长的周期,修复初期生态系统仍处于受损状态。〖     

中国城镇碳排放的区域差异和影响因素

修正了IPCC关于电力碳排放系数的计算方法,根据中国(省市)能源平衡表估算了1995-2008年中国30个省市的城镇碳排放,划分了高、中、低三个不同排放区域,分析城镇碳排放的区域差异,采用STIRPAT模型分析城镇碳排放及区域差异的影响因素.结果表明,城镇碳排放是中国碳排放的主体;城镇碳排放总体快速增长趋势,2001年后表现尤为明显;中国城镇碳排放存在很强的区域差异,2008年高排放区域的八个省市城镇碳排放总量占全国城镇碳排放总量的50％以上;城镇居民人均收入对城镇碳排放影响最大,然后是城镇化率和能源强度,人口总量对碳排放影响较小;城镇居民人均收入增加、城市化进程不断推进、能源强度降低对城镇碳排放的影响存在区域差异,这种影响强度的差异是导致城镇碳排放存在区域差异的主要原因.一方面,我国城镇居民收入的不断提高和城市化进程的推进决定了城镇发展需要一定的碳排放空间,另一方面,城镇需要走可持续的低碳发展道路.     

武汉城市圈碳排放的时空格局及影响因素分解研究

碳排放导致的全球气候变化已对人类社会与经济发展产生了深刻影响,构建一套适合“两型社会”的碳排放核算体系对于武汉城市圈寻求合理的碳减排途径具有重要的意义。以IPCC碳排放清单为依据,从4个一级项目27个二级项目系统地计算了武汉市城市圈2001～2009年各城市的碳排放总量和碳排放强度。并进一步运用迪氏对数指标分解模型（Logarithmic Mean Divisia Index Method,LMDI）定量分解了影响武汉城市圈碳排放的影响因素。研究发现：废弃物处理是武汉城市圈碳排量最多的项目,碳排放主要集中在武汉、黄石、孝感和黄冈等市,城市圈碳排放总量、碳排放地理强度和经济强度的年均递增(减)率分别为186%、022%和606%。能源结构、能源效率是抑制碳排放的主要因素,经济水平是碳排放增长的主要原因,人口效应对碳排放的影响不大,其累计贡献值分别为-22 879.85万t、-5 173.10万t、14 258.36万t和58231万t。为降低碳排放,城市圈需在推进废弃物处理技术、新能源开发、产业升级和构建低碳补偿等方面做出改进     

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