Enhanced struvite recovery from wastewater using a novel cone-inserted fluidized bed reactor

The feasibility of struvite recovery at low （12.5 mg/L） and high （120 mg[L） phosphorus concentrations was studied by constructing a novel fluidized bed reactor with cones （FBRwc） and without cones （FBRwoc）. The crystallization process was continuously operated for 133 days under different hydraulic retention times （HRT = 1-10 hr）, pH （7.5-10）, and molar ratios of Mg/P （0.75-1.75）, N/P （1-10） and Ca/Mg （0-2）. The optimum operating conditions of HRT, pH, Mg/P and N/P molar ratios were found to be 2 hr, 9, 1.25, and 7.5, respectively. Under these optimum conditions, the phosphorus precipitation efficiencies of FBRwc were 93% for low and 98% for high phosphorus influent; however, the efficiencies were 78% and 81% for FBRwoc, respectively. Due to crystal losses at each junction （17%-31%）, the crystal recovery efficiency of FBRwoc was relatively low （47%-65%） for both influent concentrations. However, the losses were minimal in FBRwc, which showed 75% and 92% crystal recovery for low and high phosphorus concentrations, respectively. At low calcium concentration, crystal chemical analysis showed the product to be pure struvite （〉 99%）. The scanning electron microscope and X-ray diffraction results further confirmed that the crystal recovered from FBRwc contained pure struvite, which could be considered a high quality fertilizer. Except HRT, all parameters （pH, Mg/P, N/P and Ca/Mg） were found to be influencing factors for FBRwc performance. Overall, inserting cones in each part of the reactor played a significant role in enhancing struvite recovery from a wide range of phosphorus-containing wastewater.     

Removal of polycyclic aromatic hydrocarbons from aqueous solution by raw and modified plant residue materials as biosorbents

Removal of polycyclic aromatic hydrocarbons （PAHs）, e.g., naphthalene, acenaphthene, phenanthrene and pyrene, from aqueous solution by raw and modified plant residues was investigated to develop low cost biosorbents for organic pollutant abatement. Bamboo wood, pine wood, pine needles and pine bark were selected as plant residues, and acid hydrolysis was used as an easily modification method. The raw and modified biosorbents were characterized by elemental analysis, Fourier transform infrared spectroscopy and scanning electron microscopy. The sorption isotherms of PAHs to raw biosorbents were apparently linear, and were dominated by a partitioning process. In comparison, the isotherms of the hydrolyzed biosorbents displayed nonlinearity, which was controlled by partitioning and the specific interaction mechanism. The sorpfion kinetic curves of PAHs to the raw and modified plant residues fit well with the pseudo second-order kinetics model. The sorption rates were faster for the raw biosorbents than the corresponding hydrolyzed biosorbents, which was attributed to the latter having more condensed domains （i.e., exposed aromatic core）. By the consumption of the amorphous cellulose component under acid hydrolysis, the sorption capability of the hydrolyzed biosorbents was notably enhanced, i.e., 6-18 fold for phenanthrene, 6-8 fold for naphthalene and pyrene and 5-8 fold for acenaphthene. The sorpfion coefficients （Kd） were negatively correlated with the polarity index [（O＋N）/C], and positively correlated with the aromaticity of the biosorbents. For a given biosorbent, a positive linear correlation between logKoc and logKow for different PAHs was observed. Interestingly, the linear plots of logKoc-logKow were parallel for different biosorbents. These observations suggest that the raw and modified plant residues have great potential as biosorbents to remove PAHs from wastewater.     

Nitrogen mass balance in a constructed wetland treating piggery wastewater effluent

The nitrogen changes and the nitrogen mass balance in a free water surface flow constructed wetland （CW） using the four-year monitoring data from 2008 to 2012 were estimated. The CW was composed of six cells in series that include the first settling basin （Cell 1）, aeration pond （Cell 2）, deep marsh （Cell 3）, shallow marsh （Cell 4）, deep marsh （Cell 5） and final settling basin （Cell 6）. Analysis revealed that the NH4＋-N concentration decreased because of ammonification which was then followed by nitrification. The NO4＋-N and NO4＋-N were also further reduced by means of microbial activities and plant uptake during photosynthesis. The average nitrogen concentration at the influent was 37,819 kg/year and approximately 45% of that amount exited the CW in the effluent. The denitrification amounted to 34% of the net nitrogen input, whereas the accretion of sediment was only 7%. The biomass uptake of plants was able to retain only 1% of total nitrogen load. In order to improve the nutrient removal by plant uptake, plant coverage in four cells （i.e., Cells 1, 3, 4 and 5） could be increased.     

乡镇小型屠宰场污水处理技术研究

本文在分析生猪屠宰污水的来源及水质特点基础上,对比各种污水处理的好氧和厌氧的方法与措施,提出将“两级沉淀＋两段曝气”工艺应用到小型屠宰场污水处理系统中,具有重要的理论意义和工程实用价值.     

崇明岛中长期碳排放预测及其影响因素分析

为更好地推动崇明低碳生态岛的建设,在应用以自下而上的部门法为基础的区域范围温室气体排放评估核算方法,全面核算崇明岛能源消费及温室气体排放现状的基础上,应用LEAP模型,通过情景分析预测崇明岛中长期能源消费需求以及温室气体排放水平,并进一步应用对数平均指数法(LMDI)对影响崇明岛未来温室气体排放的主要因素进行了定量分析。研究表明:参考情景下,崇明岛能源消费总量从2010年的101万吨标煤增加到2050年的533万吨标煤,净碳足迹从2010年的238万吨CO2e增加到2050年的579万吨CO2e。崇明岛能源消费需求和碳排放增加的主要驱动因素是未来的经济发展、人口增长和生活水平的提高,但是通过一系列的优化,尤其是能源结构的变化和能耗强度的下降,减排情景下,崇明岛能源消费总量有可能在2039年左右达到峰值,并有望在2050年左右实现"零碳岛"的长期发展目标。结合定量分析的结论,进一步提出了实现崇明岛低碳发展中长期目标的可能性和重点发展领域。     

中国污染物总量减排数据核算体系研究

"十一五"期间,中国对COD和SO2两种污染物开展总量减排工作,预期指标超额完成。"十一五"期间构建起来的总量减排数据核算体系为中央政府提供了相对准确的减排数据,是减排取得成功的基础。本文通过研究减排数据核算体系来对总量减排的成功进行制度性解释。本文采用文本分析和实地调研的方法,描述了中国减排数据核算体系的组织机构及其基本职责,整理出了自下而上的数据生成、流动机制和自上而下的数据核查、反馈机制,归纳出总量减排数据核算体系相较于传统环境统计的基本特征:一是设立了区域督查中心和各级总量控制部门等专门的组织机构;二是数据的双向流动机制,中央拥有对减排数据的审核权和最终确定权,并且会将正式确定后的数据逐级反馈给地方政府并应用于上级政府对下级政府的行政考核当中去;三是在数据核算中采用环境监测数据,并因此进行了全国范围的环境监测能力建设;四是减排工作全过程数据核算。这些新特征使得中国减排数据核算体系得以提升减排数据质量,对地方政府可能的违规行为进行约束;将减排绩效与地方政府考核相结合,通过政治激励促进地方政府开展减排工作;加强地方政府环境监管能力,保障减排工作的开展和完成。但现有数据核算体系仍然存在监测数据利用不到位而导致行政成本较高、减排量核算细则"一刀切"导致政策公平性缺失等亟需改进完善的问题。     

International trade,carbon leakage,and CO2 emissions of manufacturing industry

Foreign trade drives China’s growth,but as the trade scale continues to expand,the carbon emissions also increase quickly.Based on the industry panel data from 1996 to 2010,this paper calculates carbon emissions of 27manufacturing industries.According to the intensity of carbon emissions,this paper divides the manufacturing sectors into low carbon and high carbon manufacturing industry and then analyzes the carbon emission trends.Next,the paper uses the feasible generalized least square regression to verify the existence of environmental Kuznets curve（EKC）of the manufacturing industry’s carbon.In order to investigate the carbon leakage problem,the regression also includes the interaction term between trade and industrial value added.Our findings are as follows:the carbon emissions of the whole manufacturing industry and low carbon manufacturing industry accord with the EKC curve,but have a linear relationship with the high carbon manufacturing industry;trade reduces the carbon emissions of the whole manufacturing industry and low carbon manufacturing industry,but it increases those of the high carbon manufacturing industry;for the whole manufacturing industry and low carbon manufacturing industry,there is no carbon leakage,but it exists in the high carbon manufacturing industry.On the whole,pollution haven hypothesis does not hold up in China,and China does not need to limit industry foreign trade to reduce the emission of CO₂.But the manufacturing industry will still be the main engine of the economic growth,and therefore our country should make an effective low-carbon policy,introduce advanced technology,increase R&D investment into lowcarbon technologies,and upgrade and transform the original equipment to change the backward mode of production.     

Effect of working time on environmental pressures: empirical evidence from EU-15, 1970–2010

There is growing interest in the correlation between working time and environmental pressures, but prior empirical studies mostly focused on static methodologies. This article used dynamic panel regression approaches to examine and compare the relationship among western, southern, and northern European countries over the period 1970–2010, and proved the existence of strongly significant relationships in all models. Furthermore, this article detected the relationship between working hours and environmental indicators (carbon emission and energy use) at different phases. We contribute to a further understanding of the environmental effects of the working time reduction policy by comparing the differences among various periods and country groups in a system generalized method of moments (GMM) dynamic framework.     

1990年以来长江三角洲耕地资源变化及驱动因子研究

长江三角洲地区是中国经济发展最为快速的地区之一,虽耕地资源秉赋较好,但在经济快速发展的背景下,耕地问题显得十分严峻。以长江三角洲地区16个地级市为研究对象,利用1990~2012年相关数据,以市域为单元分析了耕地资源变化和实际利用强度的时空演变过程。结果表明:(1)1990~2012年,长三角地区的耕地总面积和人均耕地面积呈现周期性的下降趋势,以"快-慢-快-慢-慢"的循环模式逐步降低;(2)长三角地区耕地实际利用强度大体呈现"北强南弱"分布规律,在空间表现上,原来集中连片的 "高-高"、"低-低"格局正逐渐破碎化,开始出现斑点镶嵌式格局;(3)长三角地区的人口、二三产业比重和城市化水平均对耕地面积变化起到显著作用,其弹性系数分别为-0.216、-0.194和-0.203,而人均GDP与耕地面积则没有显著相关性。     

中小燃煤锅炉PM2.5排放特征实测研究

中小燃煤锅炉是我国工业和民用部门最主要的供热方式,掌握其一次颗粒物的排放特征对于研究大气PM2.5的来源和控制途径具有重要意义.本研究通过实测中小燃煤锅炉烟气,获得了中小燃煤锅炉PM2.5及以下粒径段的排放因子和分布,并分析了各粒径段的颗粒密度及除尘装置的去除效率.研究发现,PM2.5质量排放因子平均为(0.123±0.061)kg·t-1,PM2.5粒子数的排放因子平均为(3.17±1.65)×105t-1,烟气中70~120 nm粒径段的积聚模态颗粒在质量和数量上都高于其他粒径段.锅炉燃烧负荷是影响锅炉PM2.5排放的重要因素,锅炉的燃烧负荷越低,PM2.5排放将随之降低.实测锅炉的PM2.5排放因子显著低于物料衡算结果,说明采用物料衡算方法可能极大地高估了现有排放清单中工业燃煤锅炉的一次PM2.5排放量.