小麦田中有机硫气体的释放

采用密闭箱法对不同施肥条件下小麦田中羰基硫(COS)、二硫化碳(CS₂)和二甲基硫(DMS)的释放情况进行了监测.结果表明,小麦生长过程对COS、CS₂和DMS释放影响显著,小麦对COS有明显吸收作用,DMS和CS₂是麦田中释放的主要含硫气体.COS和CS₂释放速率昼夜变化明显.仅施用有机肥的麦田,硫释放总量高于其它田块.不同施肥条件的田块,硫释放总量范围在-1.40～0.79mg·ml^-2之间.     

Estimates of carbon dioxide emissions based on incomplete condition information: a case study of liquefied natural gas in China

Recent calculations of carbon dioxide (CO₂) emissions have faced challenges because data consist of only partial information, which is called “incomplete information.” According to the emission factor method, energy consumption and CO₂ emission factors with incomplete information may lead to unmatched multiplication between themselves, which affects accuracy and increases uncertainties in emission results. To address a specific case of incomplete information that has not been fully explored, we studied the effects of incomplete condition information on the estimates of CO₂ emissions from liquefied natural gas (LNG) in China. Based on Chinese LNG sampling data, we obtained the specific-country CO₂ emission factor for LNG in China and calculated the corresponding CO₂ emissions. By applying hypothesis testing, regression analysis, variance analysis, or Monte Carlo (MC) simulations, the effects of incomplete information on the uncertainty of CO₂ emission calculations in three cases were analyzed. The results indicate that calorific values have more than a 9.8% impact on CO₂ emission factors and CO₂ emissions with incomplete sample information. Regarding incomplete statistical information, the impact of statistical temperature on CO₂ emissions exceeds 5.5%. Regarding incomplete sample and statistical information, sample and statistical temperatures can individually increase estimate biases by more than 5.2%. Significantly, the impacts of sample temperature and statistical temperature may offset each other. Therefore, the incomplete condition information is quite important and cannot be ignored in the estimation of CO₂ emissions from LNG and international fair comparison.

     

防震减灾与新农村建设

在新农村的建设中．如何将防震减灾工作纳入整个村镇规划、建设与管理中,已成为重要问题之一。     

水稻土中甲硫氨酸分解释放挥发性含硫气体的影响因素

为了探讨水稻土中含硫气体产生和释放的途径 ,在室内培养条件下 ,测定了南京水稻土中含硫气体的释放 .从该淹水土壤中测出 3种含硫气体 ;羰基硫 (COS)、二甲基硫 (DMS)和少量硫化氢 (H₂S)气体 .当土壤中加入甲硫氨酸后 ,DMS气体的释放量有了明显增加 ,此外还有大量甲硫醇 (CH₃SH)和二甲基二硫 (DMDS)气体测出 .而 COS在好氧条件 (普通大气淹水 )下的释放量明显增加 ,在厌氧条件 (充氮淹水 )下的释放量变化不明显 ;只有 H₂S的释放量几乎没变 .这些结果表明 ,甲硫氨酸的分解可能是 COS、DMS、CH₃SH和 DMDS的产生源之一 ,且释放含硫气体的种类明显不同于胱氨酸和半胱氨酸 .在好氧 (普通大气 )条件下 ,DMDS和 CH₃SH的释放量低于厌氧情况 (充氮气 )下的释放量 ,DMS则高于厌氧条件下的释放量 .这表明 ,水稻土中甲硫氨酸分解产生 DMDS和 CH3SH需较强的还原条件 ,产生这 2种气体的微生物需要严格的厌氧条件 .产生 DMS的微生物则比前者需要高一些的含氧量 .土壤 pH值和含水量及光照对甲硫氨酸分解释放含硫气体均有影响 .各含硫气体在持水率 50%、普通大气、光照条件下的释放量明显高于无光照条件下的释放量 .     

低温环境下人工湿地植物组配对养殖废水的处理效果研究

强化低温环境下人工湿地的污水处理能力,对于促进人工湿地的应用推广具有重要的意义。本研究利用绿狐尾藻(Myriophyllum aquaticum)和菖蒲(Acorus calamus L.)两种湿地植物,在室外低温环境下(＜15℃),研究人工湿地植物组配对不同负荷养殖废水的处理效应及关键影响因素。结果表明,在不种、单种和不同顺序混种绿狐尾藻(M.aquaticum)和菖蒲(A.calamus L.)处理下,菖蒲+绿狐尾藻组合湿地(AM)对TN、TP和COD去除率均为最高,在低负荷和高负荷环境下平均去除率分别为74.2%、71.3%、83.0%和67.3%、81.9%、75.3%。相较于空白对照和植物单种的湿地系统,植物混种系统的DO较高,且AM处理在低负荷和高负荷环境下均能保持较高的C∶N。根据Pearson相关性以及PCA分析,DO与TN、NH⁺₄-N去除率显著相关(P<0.05),C∶N与COD去除关联性最好。可见,菖蒲+绿狐尾藻植物组合可能通过改善DO和C∶N等湿地微环境条件来增强湿地对污染物的去除,能够作为低温环境下强化湿地对污染物去除的一种有效措施。     

硝酸盐还原条件下对氯硝基苯的生物还原转化

针对对氯硝基苯和硝酸盐复合污染问题,以乙醇作为共基质,通过间歇式实验,在基质充足和不足2种条件下考察了NO3-对对氯硝基苯还原过程影响。实验结果表明,在基质充足条件下,对氯硝基苯和NO3-还原过程不互相产生抑制作用。当初始COD浓度为100 mg/L,由于基质不足,NO3-对对氯硝基苯还原过程产生竞争性抑制作用,且抑制作用随着NO3-浓度升高而增强,当NO3-浓度为150 mg/L和300 mg/L时,与空白样相比对氯硝基苯还原速率分别下降20%和54%,且溶液中出现NO2-积累,浓度分别为33.68 mg/L和44.92 mg/L。当采用生物法修复氯硝基苯化合物和硝酸盐复合污染水体时,应考虑基质的供给和硝酸盐的影响。     

Biosorption of lead(II) in aqueous solution by spent mushroom Tricholoma lobayense

The biosorption of lead(II) ions in both simulated and real wastewater by spent mushroom Tricholoma lobayense, was studied in this work. The results show a biomass with a high potential for removing lead ions from wastewater. The optimum pH for the adsorption is 4, and the adsorption process is fast. The best sorbent mass of the biomaterial is 5 g/L with an initial lead(II) concentration of 1 mmol/L. The process follows the Langmuir isotherm model, and the biosorption capacity of lead ions reaches to 210 mg/g, which is higher than many biosorbents previously studied. The mechanism of biosorption may be mainly attributed to ion exchange. The FT-IR study identifies the functional groups responsible for this process. A scanning electron microscope showed a significant change of the sorbent surface after the biosorption process. The energy dispersive elemental analysis also confirmed the adsorption of lead(II) ions.     

零价铁与双氧水异相Fenton降解活性艳橙X-GN

采用Fe0与H2O2构成异相Fenton体系降解偶氮染料活性艳橙X-GN,考察了初始pH、H2O2和Fe0投加量、温度等对反应过程的影响。实验结果表明,在初始pH值为3.0、Fe0投加量为0.8 g/L、H2O2投加量为5 mmol/L和反应温度30℃的条件下,反应60 min后活性艳橙降解率达到96.2%。Fe0与H2O2投加量都存在一个最佳范围,当Fe0与H2O2浓度大于0.8 g/L和5 mmol/L时,羟基自由基会通过其他方式消耗,致使活性艳橙降解率下降。酸性条件和提高温度均有利于反应的进行。反应符合准一级动力学,表观反应速率常数k为0.064 min-1(30℃),反应活化能为80.62 kJ/mol。UV-Vis光谱扫描表明,反应过程中活性艳橙的发色基团及苯环结构均被破坏。     

优势菌种与三重环流三相流化床耦合处理油制气厂废水

从若干种菌源中分离出降解芳香烃类和长链烷烃类化合物的高效菌种 ,将此菌种与自行设计的新型结构内循环三相流化床相结合应用于处理油制气厂排出的难降解毒性有机废水 ,分别进行了废水处理动态试验及抗冲击负荷试验 ,讨论了气水比、pH与COD去除率的关系 ,分析了酚、氨氮及各类毒性有机物的生物降解情况 .结果表明 ,反应器容积负荷为 7 16kg(CODCr) (m3·d) ,CODCr平均去除率为 79 5 % ,芳烃类化合物的去除率为 79 8% ,酚类化合物的去除率达 94 8%以上 .反应器表现出优良的抗冲击能力与高效的处理能力     

汾河上中游流域水环境中多环芳烃分布及分配

通过测定汾河上中游流域13个点位丰水期和枯水期水体、表层沉积物中PAHs浓度,分析其分布特征及影响因素.结果表明:汾河上中游流域丰水期和枯水期水中PAHs的平均浓度分别为0.365μg·L~(-1)和0.835μg·L~(-1),枯水期PAHs总体高于丰水期;丰水期和枯水期沉积物中PAHs平均浓度分别为1444μg·kg~(-1)和2407μg·kg~(-1),枯水期PAHs总体高于丰水期;水和沉积物中PAHs的组成主要是2~4环,但沉积物中高环PAHs组成显著高于水中;丰水期和枯水期中游段(寨上到南关)水体和沉积物中PAHs浓度整体均高于上游段(雷鸣寺到汾河水库).丰水期和枯水期沉积相-水相分配系数K_p值分别为642~32345 L·kg~(-1)和671~44929 L·kg~(-1),且随PAHs环数变大K_p值增大;丰水期和枯水期沉积相-水相实测的有机碳归一化分配系数(lgK_(oc))总体高于预测值上限;丰水期和枯水期lgK_(oc)与lgK_(ow)均呈较好的相关性,可决系数(R~2)分别为0.764、0.725,枯水期斜率大于丰水期斜率,枯水期较丰水期沉积物吸附的PAHs更多.K_p值与有机碳/COD_(Cr)比值K_(od)呈正相关,可决系数(R~2)分别为0.625和0.728,丰水期和枯水期PAHs K_p值受沉积物中有机碳含量和水中COD_(Cr)含量的影响.