对含丙烯腈污水处理原工艺改造

对中国石油D城市炼化公司一污水处理站进行改造,主要处理丙烯腈及腈纶纺丝、回收和腈纶聚合污水。目前国内污水处理的方法基本上是物化处理、生化处理、加药混凝沉淀、离子交换等水处理工艺。     

可调型组合式水解-接触氧化工艺研究与工程应用

小型工厂生产废水具有水质、水量波动大的特点,普通处理工艺很难适应有水质、水量的大幅度波动。采取可调性组合式水解酸化-接触氧化工艺具有较高的抗冲击负荷和很好的可调节性,应用该工艺可以使处理设施运行稳定,出水达标排放。     

人工湿地的污水处理技术研究

人工湿地是人类重要生存环境的一部分,与人类的生存发展和繁衍生息都有着密不可分的关系.在当下科学和技术飞速发展的大时代背景之下,人民群众越来越关心生活环境的质量,特别是水环境的质量.对于水资源的稀缺和污染程度的重视是社会发展的大方向,就目前情况而言,污水处理存在着诸多问题.在这样的严峻形势下,对人工湿地污水处理技术的研究也层出不穷.其中效率和经济性是最基本的问题,而这建立在先进技术的基础上.     

地膜覆盖和施氮对菜地CO2通量的影响

为了探讨地膜覆盖和不同施氮处理对菜地生态系统CO₂净交换通量（Net CO₂ Ecosystem Exchange,简称NEE）、生态系统呼吸通量（Ecosystem Respiration,简称ER）及总初级生产力（Gross Primary Productivity,简称GPP）的影响,以辣椒-萝卜轮作菜地为研究对象,采用静态明/暗箱-气相色谱法,进行了为期1 a（2014年5月-2015年4月）的田间原位观测.试验设置8个处理,分别为常规无氮（CN0）、覆膜无氮（MN0）、常规低氮（CN1）、覆膜低氮（MN1）、常规中氮（CN2）、覆膜中氮（MN2）、常规高氮（CN3）、覆膜高氮（MN3）.结果表明,辣椒季累积NEE最大值分别为CN3和MN3处理下的-30.96和-29.83 t·hm^-2,累积ER排放量最大值分别为CN1和MN1处理下的40.18和39.16 t·hm^-2,累积GPP最大值分别为CN3和MN3处理下的70.60和68.61 t·hm^-2;萝卜季累积NEE最大值分别为CN3和MN3处理下的-22.25和-24.88 t·hm^-2,累积ER排放量最大值分别为CN2和MN2处理下的17.00和19.43 t·hm^-2,累积GPP最大值分别为CN3和MN3处理下的37.92和43.80 t·hm^-2.在两个生长季中,覆膜及覆膜和施氮的交互作用只对辣椒季中ER有显著影响,对于NEE和GPP均无显著影响（p>0.05）;施氮显著提高了菜地生态系统NEE和GPP而降低了辣椒季ER（p<0.05）,并且这种增加或降低效应随着施氮量的提高而逐渐增强.本研究中菜地呈现碳汇并随着施氮水平的提高碳汇逐渐增强,而覆膜对CO₂固定无显著影响,表明常规高氮的农田管理措施能够提高西南地区代表性的辣椒-萝卜轮作菜地的固碳潜力,对该地区农田生态系统碳的源/汇功能具有一定的参考意义.     

Industrial and wildfire aerosol pollution over world heritage Lake Baikal

Lake Baikal is the biggest reservoir of fresh water with unique flora and fauna; presently it is negatively affected by climate change, water warming, industrial emissions, shipping, touristic activities, and Siberian forest fires. The assessment of air pollution - related Baikal's ecosystem damage is an unsolved problem. Ship, based expedition exploring the Baikal atmospheric aerosol loading, was performed over the lake area in July 2018. We combine the aerosol near - water and vertical distributions over the Lake Baikal basin with meteorological observations and air mass transportation simulations. Lidar sounding of aerosol fields in the troposphere assesses the atmospheric background in the pristine areas and the pollution during fire-affected periods. Aerosol optical properties (scattering and spectral absorption) converted to the particle number size, black carbon (BC) mass, and Absorption Angstrom Exponent (AAE) provide the inside into aerosol characterization. Transport of industrial emissions from Krasnoyarsk and Irkutsk regions, and wildfire plumes from Republic of Yakutia relates the pollution sources to the increased concentrations of fine particle numbers, PM₁₀ and BC mass over Southern and Northern/Central Baikal, respectively. The highest PM₁₀ and BC are associated to the harbor and touristic areas of intensive shipping and residential biomass burning. Deposition estimates applied to aerosol data exhibit the pollution fluxes to water surface over the whole Baikal area. AAE marks the impact of coal combustion, residential biomass burning, and wildfires indicating the high pollution level of the Lake Baikal ecological system .     

粮食产量预测理论、方法与应用Ⅳ.粮食估产理论、模型及其应用

粮食估产的“通道-概率”理论：把属于最近通道的历年来的产量划分为5个气候年型通道,即丰产年、偏丰年、平产年、偏欠年、欠产年;计算产量出现在5个气候年型中的频率作为概率使用,估产年的初始估产值等于预测年各通道内平均产量与概率之积的和;估产值等于初始估产值与气候年型修正参数之积,专家根据当年气候条件和作物长势实时确定修正参数。预报单元为全国、省和县。应用结果表明：国家尺度上不需要修正,省和县级尺度需要气候年型参数修正;预测误差在3％以内;所述估产理论严谨、方法简单,参数少,参数来自原始数据本身和专家经验,易于推广使用。     

Assessment of physical economy through economy-wide material flow analysis in developing Uzbekistan

In this paper, we assess the physical dimensions of Uzbekistan's economy during 1992–2011 by using the economy-wide material flow analysis (EW-MFA) method, which is an internationally recognized tool for such assessments. There have been a number of studies using methodological standardization of EW-MFA, but to the best of our knowledge, it has never been used to assess the metabolism of Central Asian economies, especially, in this case, the Republic of Uzbekistan.Our analysis strives to empirically evaluate macroscopic economic activities by considering the accounting of material flows. The material flows data-set comprises of consistent data for domestic extraction, imports, and exports, as well as other derived MFA-based indicators.The derived indicators are internationally compared for further evaluation of national economic development performance in a given period. The indicators of direct material input (DMI) and total material requirements (TMR) showed a slight increase in 1992–2011 with an average annual increase of 2.79% and 2.34%. The trends of TMR, DMI, domestic material consumption (DMC) and material efficiency, which is indicated by GDP/DMI, displayed lower values than other industrialized countries referenced in the international comparison. Although national economic performance data showed particularly remarkable success, indicators measuring material inputs and DMC reveal an insignificant increase during the period of study. During the second decade of study period, relative decoupling has occurred which indicated that the economic indicator (GDP) grows faster than DMC and other macro indicators grow.     

进水C/N对部分反硝化NO2-积累和微生物特性的影响

采用缺氧/好氧间歇运行模式,考察进水碳氮比（C/N=5.0,3.3,2.5,2.0）对部分反硝化过程亚硝态氮（NO₂^-）积累特性和污染物降解规律的影响,同时结合高通量测序,探究微生物多样性和功能菌群的演变规律.结果表明,C/N为2.5时,系统获得最佳处理效果,出水NO₂^-浓度为27.18mg/L,亚硝态氮转化率（NTR）高达67.96%;分析典型周期各污染物的降解规律发现,尽管4组工况均在缺氧30min时NO₂^-积累达到峰值（最高值分别为4.86（C/N=5.0）,16.52（C/N=3.3）,30.16（C/N=2.5）,20.28（C/N=2.0） mg/L）,但COD降解速率的不同直接影响了反硝化进程,且只有在低C/N条件（C/N=2.0~2.5）才能维持稳定的NO₂^-积累.高通量测序结果表明,除了Thauera（2.67%~24.04%）、Terrimonas（4.94%~21.19%）、Saprospiraceae（5.34%~13.50%）等常规功能菌属外,Flavobacterium（28.23%）是C/N为2.5时维持高NO₂^-积累的优势菌属.结合部分反硝化工艺的运行特点,探讨了NO₂^-作为中间产物的相关耦合工艺的应用可行性.     

氯代烃污染场地生物自然衰减修复研究进展

随着监测自然衰减技术的不断发展和日趋成熟,其在氯代烃污染场地修复领域中的应用越来越广泛和深入。本文在简要回顾监测自然衰减技术来源和发展的基础上,围绕主导氯代烃去除的生物自然衰减过程,综合探究了影响监测自然衰减效率的污染物、生物和环境因素,概述了评估氯代烃污染场地自然衰减能力的实地监测和数值模拟手段,并基于室内模拟实验和场地实际应用现状,分析了其与强化衰减技术联合应用的发展趋势。今后需要在复合污染体系的自然衰减特征、生物降解调控机理研究、数值模拟及同位素分析等手段的应用等方面进一步深入研究,以期为氯代烃污染场地的绿色修复提供参考。     

Cross-boundary transport and source apportionment for PM2.5 in a typical industrial city in the Hebei Province, China: A modeling study

Cross-boundary transport of air pollution is a difficult issue in pollution control for the North China Plain. In this study, an industrial district (Shahe City) with a large glass manufacturing sector was investigated to clarify the relative contribution of fine particulate matter (PM_2.5) to the city's high levels of pollution. The Nest Air Quality Prediction Model System (NAQPMS), paired with Weather Research and Forecasting (WRF), was adopted and applied with a spatial resolution of 5 km. During the study period, the mean mass concentrations of PM_2.5, SO₂, and NO₂ were observed to be 132.0, 76.1, and 55.5 μg/m³, respectively. The model reproduced the variations in pollutant concentrations in Shahe at an acceptable level. The simulation of online source-tagging revealed that pollutants emitted within a 50-km radius of downtown Shahe contributed 63.4% of the city's total PM_2.5 concentration. This contribution increased to 73.9±21.2% when unfavorable meteorological conditions (high relative humidity, weak wind, and low planetary boundary layer height) were present; such conditions are more frequently associated with severe pollution (PM_2.5 ≥ 250 μg/m³). The contribution from Shahe was 52.3±21.6%. The source apportionment results showed that industry (47%), transportation (10%), power (17%), and residential (26%) sectors were the most important sources of PM_2.5 in Shahe. The glass factories (where chimney stack heights were normally < 70 m) in Shahe contributed 32.1% of the total PM_2.5 concentration in Shahe. With an increase in PM_2.5 concentration, the emissions from glass factories accumulated vertically and narrowed horizontally. At times when pollution levels were severe, the horizontally influenced area mainly covered Shahe. Furthermore, sensitivity tests indicated that reducing emissions by 20%, 40%, and 60% could lead to a decrease in the mass concentration of PM_2.5 of of 12.0%, 23.8%, and 35.5%, respectively.