城市防震减灾能力评估研究

首先论述了目前国内外关于城市地震灾害风险评估的研究,分析了这些研究取得的成果和存在的不足。然后,提出了城市防震减灾能力的概念,采用人员伤亡,经济损失和震后恢复时间作为衡量城市防震减灾能力强弱的3个最基本的要素。围绕这3个基本要素,列举出影响城市防震减灾能力的6大因素,在此基础上,提出了城市防震减灾能力评价指标体系的具体内容。     

洪灾对柳州可持续发展的影响及减灾对策

通过对柳州市洪灾特点的分析,探讨了洪灾对柳州市经济、社会可持续发展的制约作用,提出洪灾的治理必须走可发展的道路,采用工程措施和非工程措施相结合的对策。     

上海城市灾害分析与减灾建设

随着人口越来越向城市集中,城市灾害日益引起人们的普遍关注,本文针对上海市的自然灾害和人为灾害现状,分析了这些城市灾害的主要特征及其潜在的致灾防患,并总结论述了上海市防灾减灾建设的措施和工作情况。     

小议火电厂总量减排核查要点

从资料核查、在线监测设备核查、集控系统核查及现场核查4个环节详细介绍了火电厂总量减排现场核查的要点。对核查中出现的问题进行总结及分析,为同类环境管理工作提供参考。     

隔声窗隔声性能的现场监测方法及效果初探

采用隔声窗作为典型道路的交通噪声控制措施,探索隔声性能的现场监测方法。分别选取真空玻璃窗与中空玻璃窗进行监测,两种隔声窗对交通噪声1000 Hz 和2000 Hz 两个倍频带的隔声量最大,真空玻璃隔声窗对500 Hz 倍频带及以下的噪声比中空玻璃隔声窗更有效,如果采用两种隔声窗进行组合,在全频带的隔声量达到25 dB。     

Land Cover Changes as a Result of Environmental Restrictions on Nitrate Leaching in Dairy Farming

Nitrate leaching forms an important environmental problem because it causes pollution of groundwater and surface water, and adds to already problematic eutrophication. This study analyses the impact of reductions in nitrate leaching on land cover decisions of dairy farms, of which the activities make an important contribution to nitrate leaching. As the level of nitrate leaching depends on groundwater depth as well as on the supply of nitrogen, spatial variation in groundwater levels will cause a spatial variation in land cover under restrictions on nitrate leaching. A non-linear partial optimisation model for the economic and ecological aspects of the problem were used to show how land cover and dairy farms' financial balances change when nitrate losses are reduced. The model is spatially explicit, and describes nitrate leakage and yields of maize and grass as a function of groundwater depth, including the effects of various grazing systems. The model analyses the decisions of a risk neutral agent who minimises costs under the following constraints: (i) production, feed requirements and mass balances for fodder; (ii) constraints for nitrate leaching. Economic costs are attributed to increased costs of fodder and processing of manure when nitrate restrictions are tightened. An important result of the study is the variation in compliance costs and land cover for maize and grass production brought about by spatial variation in groundwater depth. While the effects are negligible for some shallow groundwater classes, it is extremely difficult in other classes – if not impossible – to obtain the EU standard of maximum admissible losses of 34 kg N ha^–1 at low costs. The study shows an important reduction in land cover by maize.     

清河流域水质目标管理技术应用示范

针对清河流域三级水生态功能分区功能定位和水质保护目标,按照"分类、分区、分级、分期"理念,应用流域水质目标管理技术方法,研究清河流域控制单元污染负荷核定、水环境容量计算与分配、污染负荷削减、污染物总量控制等关键技术应用示范,完善流域水质目标管理技术,为清河流域水环境管理提供科技支撑。     

深圳市纯电动泥头车减污降碳协同效益评价研究

新能源汽车替代传统燃油车是减缓能源与环境压力并如期实现“双碳”目标的重要途径,但在重型车辆、工程车等领域推广较为缓慢.深圳市自2019年开始推广使用纯电动泥头车,并计划到2025年新能源环卫、泥头车数量达到8000辆.为深入探究纯电动泥头车替代柴油泥头车所产生的减污降碳协同效益,本研究基于一手调研数据,采用生命周期评价方法并结合GREET模型,对比分析了两类泥头车在燃料周期、车辆周期和配套设施周期3个周期内的能耗、主要空气污染物及碳排放情况.结果表明,纯电动泥头车全生命周期内能耗较柴油泥头车可减少36.2%,主要污染物如NO_x、SO₂、VOC和PM_2.5降幅分别达81.3%、37.8%、29.0%和25.9%;温室气体(GHGs)排放强度减少14.4%,基准情境下2030年和2050年推广纯电动泥头车GHGs累计减排量分别为71.4万t和258.5万t.尽管节能减排效果显著,但其初始购置和售后维保成本过高是制约其推广的最主要因素,通过降低车辆及电池生产制造成本、提高充换电设施数量及售后维保能力等有望加快泥头车纯电动化.     

EDTA-2Na/Fe(Ⅱ)对自养生物体系下硝酸盐还原过程的影响

采用厌氧序批式生物膜反应器(ASBBR),以固定浓度的硝酸盐和硫酸亚铁为基质,按不同梯度条件添加EDTA-2Na,进行长时间的培养驯化,研究铁盐脱氮的启动过程,同时探究不同EDTA-2Na/Fe(Ⅱ)对铁自养反硝化过程以及硝酸盐异化还原为铵(DNRA)的影响.结果表明:经过65d的培养驯化,反应器成功稳定运行.当EDTA-2Na/Fe(Ⅱ)<1.50时,反应器只进行铁自养反硝化过程,NO₃^--N去除率最高仅为71.70%;当EDTA-2Na/Fe(Ⅱ)≥1.50时,反应器同时进行铁自养反硝化与DNRA过程,NO₃^--N去除率最高为99.70%.值得注意的是,在EDTA-2Na/Fe(Ⅱ)=1.50时,铁自养反硝化速率达到最大值1.63mg/(L·h)的同时,DNRA的产氨量也达到最大值9.75mg/L.Visual MINTEQ模拟结果表明:EDTA-2Na与Fe(Ⅱ)的摩尔比会影响进水中EDTA-2Na与Fe(Ⅱ)的存在形态,物质的量比越大,FeEDTA^2-度越高,Fe...     

Multi-response optimization of Fenton process for applicability assessment in landfill leachate treatment

Fenton process, as a pretreatment method, was found to be effective in the primary treatment of mature/medium landfill leachate. However, the main problem of the process is the large amount of produced sludge that requires an accurate feasibility evaluation for operational applications. In this study, the response surface methodology was applied for the modeling and optimization of Fenton process in three target responses, (1) overall COD removal, (2) sludge to iron ratio (SIR) and (3) organics removal to sludge ratio (ORSR), where the latter two were new self-defined responses for prediction of sludge generation and applicability assessment of the process, respectively. The effective variables included the initial pH, [H₂O₂]/[Fe²⁺] ratio and Fe²⁺ dosage. According to the statistical analysis, all the proposed models were adequate (with adjusted R² of 0.9116–0.9512) and had considerable predictive capability (with prediction R² up to 0.9092 and appropriate adequate precision). It was found that all the variables had significant effects on the responses, specifically by their observed role in dominant oxidation mechanism. The optimum operational conditions obtained by overlay plot, were found to be initial pH of 5.7, [H₂O₂]/[Fe²⁺] ratio of 17.72 and [Fe²⁺] of 195 mM, which led to 69% COD removal, 2.4 (l sludge/consumed mole Fe²⁺) of SIR and 16.5 (gCOD removed/l produced sludge) for ORSR in verification test, in accordance with models-predicted values. Finally, it was observed that [H₂O₂]/[Fe²⁺] ratio and Fe²⁺ dosage had significant influence on COD removal, while Fe²⁺ dosage and [H₂O₂]/[Fe²⁺] ratio had remarkable effects on SIR and ORSR responses, respectively.