燃煤手烧炉有害气体生成特征研究

本文对燃煤手烧炉烟气生成特征进行了分析和研究 ,对燃烧过程二氧化硫、一氧化碳及一氧化氮等有害气体的生成规律和浓度值进行了测定和分析     

反胶束漆酶/纤维素酶体系中油酸酯化的优化

漆酶和纤维素酶在反胶束水核中心具有较强的催化活性。为了对反胶束酶体系中油酸酯化反应深入研究,采用生物表面活性剂鼠李糖脂构建反胶束体系作为漆酶与纤维素酶酯化油酸的催化反应场所。通过实验研究了反胶束体系的不同条件对酯化产物含量的影响。对于反胶束漆酶体系,最佳酯化条件为：含水量W0 40%,鼠李糖脂临界胶束浓度20 mmol·L-1,pH值4,温度40 ℃;对于反胶束纤维素酶体系,最佳酯化条件为：含水量20%,鼠李糖脂临界胶束浓度80 mmol·L-1,pH值4,温度30 ℃。综合考虑几个因素,漆酶比纤维素酶更适合应用于反胶束中油酸的酯化。研究同时采用荧光光谱法对漆酶和纤维素酶在反胶束体系中结构性能的变化进行研究,结果表明,当反胶束体系处于最佳酯化反应条件时,荧光强度最高。     

压力环境下活性污泥的耐盐驯化过程

通过逐步提高盐浓度的梯度盐度方法驯化耐盐活性污泥,采用加压-常压对比实验,探讨活性污泥耐盐驯化过程中,0.3 MPa的压力环境对有机物降解规律、污泥脱氢酶活性及胞外聚合物（EPS）含量的影响。结果表明,经耐盐驯化的活性污泥在5%的高盐度环境下仍可达到75%以上的有机物去除率;当驯化盐度达3.5%及以上,加压耐盐活性污泥有机物去除率及污泥脱氢酶活性均高于常压,其优势更为突出。耐盐驯化过程中活性污泥胞外聚合物（EPS）含量较稳定,加压系统EPS含量低于常压,这可能是加压活性污泥法可以实现原位污泥减量的重要原因之一。     

Contents and sources of polycyclic aromatic hydrocarbons and organochlorine pesticides in vegetable soils of Guangzhou, China

We investigated contents, distribution and possible sources of PAHs and organochlorine pesticides (Ops) in 43 surface and subsurface soils around the urban Guangzhou where variable kinds of vegetables are grown. The results indicate that the contents of PAHs (16 US EPA priority PAHs) range from 42 to 3077 microg/kg and the pollution extent is classified as a moderate level in comparison with other investigations and soil quality standards. The ratios of methylphenanthrenes to phenanthrene(MP/P), anthracene to anthracene plus phenanthrene (An/178), benz[a]anthracene to benz[a]anthracene plus chrysene (BaA/228), indeno[1,2,3-cd]pyrene to indeno[1,2,3-cd]pyrene plus benzo[ghi]perylene (In/In+BP) suggest that the sources of PAHs in the soil samples are mixed with a dominant contribution from petroleum and combustion of fossil fuel. The correlation analysis shows that the PAHs contents are significantly related to total organic carbon contents (TOC) (R2=0.75) and black carbon contents (BC) (R2=0.62) in the soil samples. Dichlorodiphenyltrichloroethane and metabolites (DDTs) and hexachlorocyclohexanes and metabolites (HCHs) account largely for the contaminants of OPs. The concentrations of DDTs range from 3.58 to 831 microg/kg and the ratios for DDT/(DDD+DDE) are higher than 2 in some soil samples, suggesting that DDT contamination still exists and may be caused by its persistence in soils and/or impurity in the pesticide dicofol. The concentrations of HCHs are 0.19-42.3 microg/kg.     

Influence of metal oxides on PCDD/Fs formation from pentachlorophenol

Chlorophenols (ClPhs) are considered as important precursors for PCDD/Fs formation. The influences of series of metal oxides including MgO, Al2O3, CaO, BaO, TiO2, V2O5, MnO2, Fe2O3, Co3O4, CuO, Ag2O, ZnO, HgO, SnO, PbO, La2O3, CeO2, and Eu2O3 on PCDD/Fs formation from pentachlorophenol (PCP) were investigated in a laboratory-scale reactor. The results indicated that most of the above metal oxides have obvious suppressing effects on the total amount of PCDD/Fs formation from precursor PCP except for CuO, ZnO, MnO2, TiO2 and Co3O4 with promotion effects at 280 degrees C for 2 h. Although MgO, Al2O3, Fe2O3, PbO, La2O3 and Eu2O3 could reduce the amount of octachlorinated dibenzo-p-dioxin (OCDD), they promote the formation of more toxic 1,2,3,4,6,7,8-HpCDD at the same time. The total suppressing efficiencies of several metal oxides including CaO, BaO, PbO, Ag2O, HgO and SnO which have lower Z/r (charge to radius ratio) <2 are all over 90%. The theories of generalized acid-base and atomic parameter (Z/r) were used to speculate the effecting mechanisms. The factors including time and temperature on suppressing efficiencies of CaO, BaO and PbO have also been studied in the present paper. The results showed that the total suppressing efficiencies of CaO, BaO and PbO increase with the increase of heated time and temperature.     

武汉市生态系统服务功能对城市用地扩张的响应机理

针对当前生态系统服务功能对城市用地扩张过程响应机理研究的不足,以武汉市为例,定量计算区域重要生态系统服务功能价值,探究城市用地扩张过程对生态系统服务的影响机理。结果表明:(1)1990～2015年,除水文调节的价值在2000～2005年略有增长,其余生态系统服务功能价值均呈负增长,降幅最大的是食物供给;(2)人口增长带来的生态系统服务功能的需求压力远远大于城市用地扩张对生态系统服务的直接破坏;(3)城市用地扩张对食物供给的破坏程度最大,对水文调节能力的破坏程度次之,对生物多样性和土壤保持的破坏程度相对较低。武汉市在未来的城市用地扩张中,应禁止侵占水域和森林的面积,调整农田的侵占结构,提高建设用地集约利用水平。     

虚拟耕地资源与农业经济增长：作用机理及贡献份额研

虚拟耕地资源被广泛认为是缓解国内耕地资源压力和促进农业经济增长的重要举措之一。在论证虚拟耕地资源贸易对农业经济增长作用机理分析的基础上,计算1996~2018年中国主要农产品虚拟耕地资源贸易量,并对虚拟耕地资源对农业经济增长中的贡献份额进行实证分析,为调整对外贸易战略及优化耕地资源策略提供参考。结果表明：虚拟耕地资源可以在更大范围内实现耕地资源的优化配置;主要农产品贸易的巨大逆差决定了中国是虚拟耕地资源净进口大国,其中,油料是虚拟耕地资源净进口量最大的品种;虚拟耕地资源对农业经济增长的贡献率为0.26%,观点得到了佐证。同时,还提出了要试点实施虚拟耕地资源,全力以赴做好贸易政策调整战略;充分利用国内外“两种资源、两个市场”,倒逼主要农产品进行结构调整;努力构建虚拟耕地资源管理新模式,推动农业“走出去”与市场多元化结合等政策建议。     

地方政府土地出让策略互动行为的检验及其影响分析

本文以山东省设区市地方政府土地出让行为作为研究对象,通过构建空间面板模型,从价格和数量两个维度,全面检验了地方政府商服、住宅、工业用地出让的策略互动行为,并利用空间计量工具,分析了地方政府土地出让策略互动行为的影响。研究发现:(1)山东省内地方政府商服、住宅、工业用地出让价格以及工业用地出让量存在显著的策略互动,地方政府的商服、住宅、工业用地出让价格以及工业用地出让量,不仅会受城市自身情况的约束,还会受邻近地区地方政府土地出让行为的影响,外在表现为你涨我跌、你增我减的反向变动格局;(2)由于未考虑策略互动,传统计量经济学非空间面板模型对地方政府土地出让行为影响因素的估计普遍存在偏误。对于商服用地出让价格,第三产业比重、人口密度的影响分别被低估了33.33%、13.08%;对于住宅用地出让价格,人口城镇化率、人均可支配收入的影响分别被低估了20.00%、9.98%,人口密度的影响被高估了32.34%;对于工业用地出让价格,人均外商直接投资的影响被高估了3.68%;对于工业用地出让量,第二产业比重、地均工业产值的影响分别被高估了13.95%、31.36%;(3)地方政府土地出让行为的影响因素普遍存在明显的空间溢出效应。对于商服用地出让价格,具有空间溢出效应的影响因素为人口密度;对于住宅用地出让价格,具有空间溢出效应的影响因素为人口城镇化率、人口密度、人均可支配收入;对于工业用地出让价格,具有空间溢出效应的影响因素为人均外商直接投资、地均固定资产投资;对于工业用地出让量,具有空间溢出效应的影响因素为第二产业比重、地均固定资产投资。     

中国工业碳排放达峰的情景预测与减排潜力评估

实现2030年碳排放达峰不仅是中国为应对全球气候变化向国际社会做出的郑重承诺,也是中国未来经济结构转型与可持续发展的必然选择。基于中国实现2030年碳排放达到峰值的宏观目标为背景,本文以中国碳排放的主要行业工业为研究对象,首先运用拓展的STIRPAT模型对工业及其9个细分行业的碳排放达峰进行了情景预测,然后基于公平和效率的双重视角对工业细分行业的减排潜力进行评估。研究表明:(1)仅有低碳情景和抑制排放情景2可以实现中国碳排放2030年达峰,低碳情景是实现中国工业碳排放达峰的最佳发展模式,达峰时间最早(2030年),峰值最低(140.43亿t)。激进排放情景则是最差的发展模式,达峰时间最晚(2036年),峰值也最高(150.09亿t)。(2)工业内部各细分行业碳排放的最优达峰情景差别较大。建材和纺织制造业能够实现提前达峰,可以在这类行业率先实施达峰管理措施,使其带动其他行业陆续达峰。(3)最具减排潜力的行业是石油制造业,其次是电力行业,这些减排潜力较大的行业应该成为国家节能减排的重点对象。(4)基于工业各细分行业在减排公平性和效率性上的差异将工业9个细分行业分为四类。其中,石油、钢铁制造业和电力行业属于"高效高公平行业";化工、建材制造业属于"低效高公平行业";采掘业属于"高效不公平行业";纺织、轻工和机电制造业属于"低效不公平行业"。中国应针对不同类型的行业制定出相应的减排战略,将减排重点放在各行业最具潜力的方面。最后,文章对实现中国工业碳排放达峰管理提出了几点政策建议。     

Impact of demographic dynamics on CO_2 emissions in Sichuan,China

Global climate change is one of the major environmental issues faced by humans.Existing evidence indicates that the anthropogenic push for a rise in the atmospheric concentration of greenhouse gases(GHGs)(particularly CO_2)has been a primary cause for global warming.Aside from economic and teclinological factors,demographic dynamics(including human consumption in a broad demographic sense)has been a major driver for CO_2 emissions.In this paper,we performed both nonlinear regression analysis(based on the STIRPAT model)and gray correlation degree analysis(based on gray system theory)on the impact of demographic dynamics on CO_2 emissions.Our results reveal that CO_2 emissions are positively correlated with population size and GDP per capita and negatively correlated with energy intensity.We also show that gray correlation degree with CO_2 emissions for five variables(i.e.,household consumption,urbanization rate,household size,population aging rate,population size)varies substantially:household consumptionurbanization ratehousehold sizepopulation aging ratepopulation size,with household consumption being the highest,and population size the lowest.To mitigate the impact of demographic dynamics on CO_2 emissions,it is of vital significance to nurture people's awareness of sustainable consumption and to adhere to current population control policies.