Multi-process and multi-pollutant control technology for ultra-low emissions in the iron and steel industry

The iron and steel industry is not only an important foundation of the national economy, but also the largest source of industrial air pollution. Due to the current status of emissions in the iron and steel industry, ultra-low pollutant emission control technology has been researched and developed. Liquid-phase proportion control technology has been developed for magnesian fluxed pellets, and a blast furnace smelting demonstration project has been established to use a high proportion of fluxed pellets (80%) for the first time in China to realize source emission reduction of SO₂ and NO_x. Based on the characteristics of high NO_x concentrations and the coexistence of multiple pollutants in coke oven flue gas, low-NO_x combustion coupled with multi-pollutant cooperative control technology with activated carbon was developed to achieve efficient removal of multiple pollutants and resource utilization of sulfur. Based on the characteristics of co-existing multiple pollutants in pellet flue gas, selective non-catalytic reduction (SNCR) coupled with ozone oxidation and spray drying adsorption (SDA) was developed, which significantly reduces the operating cost of the system. In the light of the high humidity and high alkalinity in flue gas, filter materials with high humidity resistance and corrosion resistance were manufactured, and an integrated pre-charged bag dust collector device was developed, which realized ultra-low emission of fine particles and reduced filtration resistance and energy consumption in the system. Through source emission reduction, process control and end-treatment technologies, five demonstration projects were built, providing a full set of technical solutions for ultra-low emissions of dust, SO₂, NO_x, SO₃, mercury and other pollutants, and offering technical support for the green development of the iron and steel industry.     

作物生长和氮含量对土壤-作物系统CO2排放的影响

为探讨作物生物学特征对土壤-作物系统CO₂排放的影响,本研究基于逐步收割法和静态暗箱-气相色谱技术,以冬小麦和水稻作物为研究对象,采用盆栽和大田试验的方法,在作物生长的主要生育期原位测定了土壤-作物系统CO₂排放速率,同时测定了作物生物量和氮含量.研究结果表明:①土壤-作物系统CO₂排放在生长季内呈现动态变化,土壤-水稻系统CO₂排放高于土壤-冬小麦系统.②作物暗呼吸速率与生物量呈显著线性相关.③作物暗呼吸系数(R_d)的季节变化可以用植株氮含量来描述.冬小麦R_d与N含量的关系可用线性方程R_d=0.0124N-0.0076(R²=0.9879,p<0.001)表示;水稻R_d与N含量的关系可用二次方程R_d=0.0085N2-0.0049NR²=0.9776,p<0.001)表示.④作物根系的参与极大地促进了土壤呼吸.冬小麦生长季土壤表观呼吸CO₂平均值为247.2 mg·(m²·h)^-1 ,高于未种作物土壤1.78倍,水稻生长季为215.3 mg·(m²·h)^-1 CO₂,高于未种作物土壤的3.38倍.冬小麦根系呼吸系数大于水稻,其根际呼吸对土壤表观呼吸的贡献高于水稻.     

木薯乙醇-汽油混合燃料生命周期排放多目标优化研究

建立了木薯乙醇-汽油混合燃料生命周期排放单目标和多目标优化模型.以生命周期CO,NO_x,PM,HC,SO_x,CO₂排放为优化目标,对木薯乙醇-汽油混合燃料生命周期排放进行了单目标及多目标优化,并进行了灵敏度分析.结果表明:多目标优化后木薯乙醇-汽油混合燃料的混合比例为63%.与原始值相比,多目标优化后生命周期CO排放略有升高,NO_x升高15%,PM升高19%;生命周期HC、SO_x和CO₂分别降低8%、50%和21%.     

基于互相关时差法的核电安全壳泄漏定位方法研究

目的 基于声发射检测原理,探究一种适用于核电安全壳的泄漏定位方法。方法 首先,开展安全壳结构的声波传播特性研究;其次,基于时频分析,对安全壳泄漏产生的声信号进行滤波预处理,基于分布式传感网络,利用互相关系数曲线,估计不同传感器信号时延;最后,采用双曲线法,对泄漏源进行定位,得到定位观测点,对观测点进行离散系数加权,得到预测泄漏源位置。结果 安全壳上波速平均值为3 026.2 m/s,泄漏声信号的频带主要集中在15~80 kHz,没有明显的时域特征。采用该方法对模拟安全壳上的泄漏源进行定位,平均定位误差为4.31 cm。结论 安全壳上周向和轴向的波速差异不大,可近似认为是各项同性的。基于离散系数加权的互相关时差法定位效果良好,满足安全壳结构泄漏定位需求。     

基于Maplnfo的项目排污可行性论证的研究与实践

Maplnfo是一种桌面GIS,功能非常强大。主要包括：地图输入、处理能力;关系型数据库功能;数据查询分析功能;多样化数据表达能力;功能齐全的系统开发工具;精美的地图输出功能;支持多种硬件操作平台;高精度的地图数据产品。该文重点运用Maplnfo的SQL查询功能,进行了建设项目排污可行性论证研究和实践,并实现了建设项目排污可行性论证的具体对象和可视化。     

北京市二个主要工业区汞污染及其来源的初步研究

为了调查北京市汞污染状况及其来源，选择二个主要工业区石景山区和朝阳区为研究对象．共采集表层土壤２６个，剖面样品４个，对照土壤样品４个，并且在冬季采集降雪样品和枯叶样品，分析汞含量．结果表明，燃煤烟尘排放的汞是北京市汞的主要来源，汽车尾气和化工厂泄漏可使局部汞含量增高，表层土壤中汞含量为００７—２７５ｍｇ／ｋｇ．土壤剖面中的汞含量在０—１００ｃｍ土层中均较高，其含量与土壤有机质和碳酸盐含量正相关．降雪中汞在０７—３７ｍｇ／Ｌ之间，明显高于背景值，其中大部分吸附在颗粒物上．枯叶中汞主要是从土壤吸收，并且有可能被雨水淋溶出来．     

上海市机动车发展的大气环境容量

研究了上海市机动车和固定源排放对环境中NOx 浓度的贡献率 ,采用ADMS Urban空气质量模型从环境容量角度提出上海市机动车发展的总量控制目标 .2 0 0 2年上海全市NOx 排放总量为 39 7× 10 4t/a ,其中中心城区机动车NOx 排放分担率81% ,浓度贡献率为 86 % .为实现 0 0 8mg/m3 年平均浓度容量控制目标 ,上海市机动车NOx 排放总量应控制在 3 5× 10 4t/a以下     

Interregional burden-sharing of greenhouse gas mitigation in the United States

Emissions trading is anattractive candidate for implementinggreenhouse gas mitigation, because it canpromote both efficiency and equity. Thispaper analyzes the interregional impacts ofalternative allocations of carbon dioxideemission permits within the U.S. Theanalysis is performed with the aid of anonlinear programming model for ten EPARegions and for six alternative permitdistribution formulas. The reason thatvarious alternatives need to be consideredis that there is no universal consensus onthe best definition of equity. Advanceknowledge of absolute and relative regionaleconomic impacts provides policy-makerswith a stronger basis for making thechoice. The analysis yields several usefulresults. First, the simulations indicatethat no matter how permits are allocated,this policy instrument can substantiallyreduce the cost of GHG mitigation for theU.S. in comparison to a system of fixedquotas for each of its regions. Interestingly, the welfare impacts ofseveral of the allocation formulas differonly slightly despite the large differencesin their philosophical underpinnings. Also, the results for some equity criteriadiffer greatly from their application inthe international domain. For example, theEgalitarian (per capita) criterion resultsin the relatively greatest cost burdenbeing incurred by one of the regions of theU.S. with the lowest per capita income.     

深圳市龙华区PM2.5污染与减排过程模拟分析

通过分析深圳市龙华区2018年大气环境承载力发现,NO2和PM10的实际大气环境承载量已经降到了理想大气环境容量范围内,而PM2.5的实际大气环境承载量则已超过理想大气环境容量近1 000 t,说明PM2.5仍是龙华区大气污染防治的重点工作,利用科学手段精准、有效地指导PM2.5减排工作十分重要.基于相关监测数据,结合...     

中国实现碳达峰的政策建议——基于碳定价机制模型的多情景模拟分析

碳定价机制是利用市场机制推动碳减排、减缓气候变化方案的核心内容,包括碳排放权交易和碳税等措施。尽管新冠肺炎疫情打乱了经济发展节奏,但是中国主动提高国家自主贡献力度,积极推进战略提升与政策强化。本研究构建并运用"碳定价机制模型"模拟涵盖不同主体范围及政策组合下的碳排放权交易市场运行情况,分析评估碳减排效果及经济影响,为丰富完善我国实现碳达峰的政策工具提供技术支持。