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1.
我国饲料粮区域产消平衡特征及政策启示   总被引:3,自引:0,他引:3  
我国饲料粮消耗量大且增长迅速,已经成为我国粮食安全的首要影响因素,准确判断我国饲料粮的区域产消平衡特征对农业相关政策的制订具有重要的现实意义。论文在详细分析各省区不同畜牧产品粮食转化系数的基础上,对区域饲料粮的产消平衡状态及其原因进行了研究。结果显示:1)近年来我国饲料粮消费量快速上升,由2000年的21 730万t增长到2015年的30 549万t,15 a间增长了8 819万t。2)2015年生猪饲料粮消耗量最大,比例达到了44.4%,占据了我国饲料消耗总量的半壁江山。其次为禽蛋与禽肉消耗,消费占比分别为15.8%与12.7%;牛肉、羊肉、牛奶与水产品的饲料粮消费量比例均在5%~9%之间。3)2015年全国饲料粮总计短缺4 276万t,区域上呈现“北余南缺”的格局,东北黑龙江、吉林、内蒙古三省(区)成为我国最重要的饲料粮供应区域。从粮食转换系数与饲养结构来看,“北粮南运”现象是粮食资源的合理配置。论文提出三点政策建议:1)转变消费结构,增加牛肉与牛奶的消费量;2)推动“以粮为纲”向“粮经饲”三元种植结构转变;3)充分利用国际市场,从全球视角保护粮食安全。  相似文献   
2.
本文就一氧化碳的测定条件和CO氧化过程中氧化剂的选择进行了研究。试验表明:ReAO_4-Ⅱ为氧化CO的活性催化剂,转化率可达100%(在300℃以上),本法简便,可用于空气中一氧化碳的测定和催化剂对CO活性测试。  相似文献   
3.
Based on the online and membrane sampling data of Yuncheng from January 1st to February 12th, 2020, the formation mechanism of haze under the dual influence of Spring Festival and COVID-19 (Corona Virus Disease) was analyzed. Atmospheric capacity, chemical composition, secondary transformation, source apportionment, backward trajectory, pollution space and enterprise distribution were studied. Low wind speed, high humidity and small atmospheric capacity inhibited the diffusion of air pollutants. Four severe pollution processes occurred during the period, and the pollution degree was the highest around the Spring Festival. In light, medium and heavy pollution periods, the proportion of SNA (SO42−, NO3 and NH4+) was 59.6%, 56.0% and 54.9%, respectively, which was the largest components of PM2.5; the [NO3]/[SO42−] ratio was 2.1, 1.5 and 1.7, respectively, indicating that coal source had a great influence; the changes of NOR (nitrogen oxidation ratio, 0.44, 0.45, 0.61) and SOR (sulphur oxidation ratio, 0.40, 0.49, 0.65) indicated the accumulation of secondary aerosols with increasing pollution. The coal combustion, motor vehicle, secondary inorganic sources and industrial sources contributed 36.8%, 26.59%, 11.84% and 8.02% to PM2.5 masses, respectively. Backward trajectory showed that the influence from the east was greater during the Spring Festival, and the pollutants from the eastern air mass were higher, which would aggravate the pollution. Meteorological and Spring Festival had a great impact on heavy pollution weather. Although some work could not operate due to the impact of the COVID-19 epidemic, the emission of pollutants did not reduce much.  相似文献   
4.
UV-Fenton氧化高浓度木糖生产废水的研究   总被引:2,自引:0,他引:2  
采用UV-Fenton技术光催化氧化高浓度木糖生产废水,确定最佳操作条件为:pH=2.5,H2O2=46.62g/L,H2O2/Fe2+摩尔配比为50∶1,光照反应60min。此条件下废水COD去除率最高可达91.2%。经正交试验确定影响处理效果各因素的重要性顺序为:pH>H2O2浓度>光照反应时间>H2O2/Fe2+摩尔配比。UV的加入与单独的Fenton体系存在正相关的协同作用。经UV-Fenton处理后的木糖废水,可生化性大大改善,B/C指标从0.21升高到0.49。  相似文献   
5.
大气污染对城市能见度影响研究的理论与实践   总被引:17,自引:0,他引:17  
首先从理论上探讨了颗粒物及气态污染物对能见度的影响.论述了城市大气光化学反应过程中的气粒转化过程。此外.选取4个气象参数:风速、气温、气压和相对湿度.及3个大气污染指标:SO2、NOx、PM10,与晴天水平能见度进行了相关分析.并建立回归方程。初步分析表明.城市能见度除受大气污染的影响外.还与湿度、风速.风向等气象条件及雾、降水、浮尘等天气有密切关系,它主要是大中小尺度天气和大气环境共同作用的结果.在一定条件下.它与PM10和SO2有较为明显的相关性。  相似文献   
6.
聚合岗位是石油化工厂聚丙烯车间重要且非常危险的岗位,一旦发生意外事故,将会导致人员的重大伤亡和巨大的经济损失。笔者依据聚丙烯车间生产现状,详细地介绍了12m3 釜聚合岗位工艺流程,用“系统安全”的理论和方法对其主要物质、生产工艺、操作过程的危险性进行了辨识,且绘制了主要危险点分布图;通过危险源辨识可知,聚合釜具有的超温、超压特点是该岗位众多危险源中最为严重的潜在危险,应用“事故树法”对聚合釜超温、超压爆炸事故进行了危险分析,找出其爆炸潜在的危险因素有2 4种,该事故树的最小割集共有6 6个,表明聚合釜爆炸可能性是很大的。依据分析结果,针对聚合釜爆炸可能性最大的危险因素,提出了安全对策与措施,以避免或减少爆炸事故的发生  相似文献   
7.
彭俊豪  施式亮  刘勇  王阳  曹建 《安全》2019,40(8):28-31
为了准确探究城乡接合部居民楼火灾事故致因机理,预防与控制城乡接合部日常生产与生活过程中引发火灾事故的有效途径,建立信息面更全、实际性更强的火灾风险评估模型是目前行之有效的手段。基于湖南省某地发生火灾事故的实际情况,根据事故树分析法,以城乡接合部居民楼火灾事故为顶事件构建事故树,计算得到事故树的最小割集、最小径集和结构重要度,研究城乡接合部居民楼火灾事故的发生模式、致因因素及影响程度,为改善城乡接合部居民楼火灾安全提供重要的理论依据,并提出相应的防控措施及对策。  相似文献   
8.
Municipal Solid Waste (MSW) disposal has been a controversial issue in many countries over the past years, due to disagreement among the various stakeholders on the waste management policies and technologies to be adopted. One of the ways of treating/disposing MSW is energy recovery, as waste is considered to contain a considerable amount of bio-waste and therefore can lead to renewable energy production. The overall efficiency can be very high in the cases of co-generation or tri-generation. In this paper a model is presented, aiming to support decision makers in issues relating to Municipal Solid Waste energy recovery. The idea of using more fuel sources, including MSW and agricultural residue biomass that may exist in a rural area, is explored. The model aims at optimizing the system specifications, such as the capacity of the base-load Waste-to-Energy facility, the capacity of the peak-load biomass boiler and the location of the facility. Furthermore, it defines the quantity of each potential fuel source that should be used annually, in order to maximize the financial yield of the investment. The results of an energy tri-generation case study application at a rural area of Greece, using mixed MSW and biomass, indicate positive financial yield of investment. In addition, a sensitivity analysis is performed on the effect of the most important parameters of the model on the optimum solution, pinpointing the parameters of interest rate, investment cost and heating oil price, as those requiring the attention of the decision makers. Finally, the sensitivity analysis is enhanced by a stochastic analysis to determine the effect of the volatility of parameters on the robustness of the model and the solution obtained.  相似文献   
9.
• The SRAO phenomena tended to occur only under certain conditions. • High amount of biomass and non-anaerobic condition is requirement for SRAO. • Anammox bacteria cannot oxidize ammonium with sulfate as electron acceptor. • AOB and AnAOB are mainly responsible for ammonium conversion. • Heterotrophic sulfate reduction mainly contributed to sulfate conversion. For over two decades, sulfate reduction with ammonium oxidation (SRAO) had been reported from laboratory experiments. SRAO was considered an autotrophic process mediated by anammox bacteria, in which ammonium as electron donor was oxidized by the electron acceptor sulfate. This process had been attributed to observed transformations of nitrogenous and sulfurous compounds in natural environments. Results obtained differed largely for the conversion mole ratios (ammonium/sulfate), and even the intermediate and final products of sulfate reduction. Thus, the hypothesis of biological conversion pathways of ammonium and sulfate in anammox consortia is implausible. In this study, continuous reactor experiments (with working volume of 3.8L) and batch tests were conducted under normal anaerobic (0.2≤DO<0.5 mg/L) / strict anaerobic (DO<0.2 mg/L) conditions with different biomass proportions to verify the SRAO phenomena and identify possible pathways behind substrate conversion. Key findings were that SRAO occurred only in cases of high amounts of inoculant biomass under normal anaerobic condition, while absent under strict anaerobic conditions for same anammox consortia. Mass balance and stoichiometry were checked based on experimental results and the thermodynamics proposed by previous studies were critically discussed. Thus anammox bacteria do not possess the ability to oxidize ammonium with sulfate as electron acceptor and the assumed SRAO could, in fact, be a combination of aerobic ammonium oxidation, anammox and heterotrophic sulfate reduction processes.  相似文献   
10.
A high demand of oil products on daily basis requires oil processing plants to work with maximum efficiency. Oil, water and gas separation in a three-phase separator is one of the first operations that are performed after crude oil is extracted from an oil well. Failure of the components of the separator introduces the potential hazard of flammable materials being released into the environment. This can escalate to a fire or explosion. Such failures can also cause downtime for the oil processing plant since the separation process is essential to oil production. Fault detection and diagnostics techniques used in the oil and gas industry are typically threshold based alarm techniques. Observing the sensor readings solely allows only a late detection of faults on the separator which is a big deficiency of such a technique, since it causes the oil and gas processing plants to shut down.A fault detection and diagnostics methodology for three-phase separators based on Bayesian Belief Networks (BBN) is presented in this paper. The BBN models the propagation of oil, water and gas through the different sections of the separator and the interactions between component failure modes and process variables, such as level or flow monitored by sensors installed on the separator. The paper will report on the results of the study, when the BBNs are used to detect single and multiple failures, using sensor readings from a simulation model. The results indicated that the fault detection and diagnostics model was able to detect inconsistencies in sensor readings and link them to corresponding failure modes when single or multiple failures were present in the separator.  相似文献   
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