Growth responses of Picea mongolica seedlings to defoliation rate

Picea mongolica W. D. Xu. is an endemic species in China. The spruce forest is only found in semi-arid habitat in Inner Mongolia Autonomous Region of China. Based on the simulative defoliation experiment, it was proved that Picea mongolica seedlings had the compensatory and overcompensatory effects under the certain defoliation rate. The results of variance analysis on growth indexes showed that in PM I (natural regeneration seedlings under Picea mongolica forest), the differences of H1 (height in June 23 ) and H2 (height in September 3) were extremely significant, and the difference of D(diameter at the breast height) were not significant. In PM Ⅱ (artificial regeneration seedlings under Betula platyphylla Suk. forest), the difference of H1 was significant, the difference of H2 was not significant, and the difference of D was extremely significant. The regression equations were established and the compensatory and overcompensatory points were obtained. In PM I, the compensatory points of H1, H2, and D were 0.7628, 0.7436, 0.5725, and the overcompensatory points were 0.6056, 0.5802 and 0.2909 respectively. In PM Ⅱ, the compensatory points of H1, H2, and D are 0.5012, 0.3421, 0.2488, and the overcompensatory points are 0.4137, 0.2633 and 0.0747 respectively. These results suggested that the induction of compensatory growth mechanisms in spruce seedlings required a threshold level of defoliation, and the insects in Picea mongolica forest could be controlled in a certain de clree.     

Application of Bayesian regularized BP neural network model for analysis of aquatic ecological data-A case study of chlorophyll-a prediction in Nanzui water area of Dongting Lake

Bayesian regularized BP neural network（BRBPNN） technique was applied in the chlorophyll-α prediction of Nanzui water area in Dongting Lake. Through BP network interpolation method, the input and output samples of the network were obtained. After the selection of input variables using stepwise/multiple linear regression method in SPSS i1.0 software, the BRBPNN model was established between chlorophyll-α and environmental parameters, biological parameters. The achieved optimal network structure was 3-11-1 with the correlation coefficients and the mean square errors for the training set and the test set as 0.999 and 0.000？8426, 0.981 and 0.0216 respectively. The sum of square weights between each input neuron and the hidden layer of optimal BRBPNN models of different structures indicated that the effect of individual input parameter on chlorophyll- α declined in the order of alga amount 〉 secchi disc depth（SD） 〉 electrical conductivity （EC）. Additionally, it also demonstrated that the contributions of these three factors were the maximal for the change of chlorophyll-α concentration, total phosphorus（TP） and total nitrogen（TN） were the minimal. All the results showed that BRBPNN model was capable of automated regularization parameter selection and thus it may ensure the excellent generation ability and robustness. Thus, this study laid the foundation for the application of BRBPNN model in the analysis of aquatic ecological data（chlorophyll-α prediction） and the explanation about the effective eutrophication treatment measures for Nanzui water area in Dongting Lake.     

Distribution characteristics of ammonia-oxidizing bacteria in the Typha latifolia constructed wetlands using fluorescent in situ hybridization(FISH)

A molecular biology method, fluorescent in situ hybridization（FISH）, in which the pre-treatment was improved in allusion to the media of the constructed wetlands（CW）, e.g. the soil and the grit, was used to investigate the vertical distribution characteristics of ammonia-oxidizing bacteria（AOB） quantity and the relation with oxidation-reduction potential（ORP） in the Typha latifolia constructed wetlands under three different Ioadings in summer from May to September. Results showed that the quantity of the AOB decreased in the Typha latifolia CW with the increase of vertical depth. However, the AOB quantity was 2-4 times the quantity of the control in the root area. Additionally, ORP in the rhizosphere was found to be higher than other areas, which showed that Typha latifolia CW was in an aerobic state in summer when using simulated non-point sewage at the rural area of Taihu Lake in China and small town combined sewage.     

去除城市生活污泥中有机络合态金属强化其厌氧生物制气

为提高城市生活污泥厌氧消化沼气产率,本文考察了通过金属络合剂EDTA预处理污泥,以去除城市生活污泥中有机络合态金属,强化其厌氧生物制气的效果.结果表明,经EDTA预处理去除金属后的污泥(实验组)较未预处理的污泥(对照组)的有机络合态金属含量减少[(5.09±0.57)%~(1.37±0.20)%,以TS计],溶解性有机质显著提高(SCOD提升627%),暗示该预处理方法能够极大地去除有机络合态金属并强化污泥有机质的溶出.通过测定污泥有机质溶出表观活化能发现,实验组污泥有机质溶出表观活化能比对照组降低36%,表明预处理能够有效降低有机质溶出反应的能量壁垒.污泥厌氧发酵研究发现,在16d的污泥厌氧产酸实验中,实验组VFAs浓度高于对照组,较对照组最大提升42%;在22 d的污泥厌氧产甲烷测试实验(BMP)中,实验组单位有机质累积甲烷产量比对照组增加48%,表明EDTA预处理对提高污泥厌氧消化产沼气具有重要的作用.通过进一步产沼气动力学研究发现,实验组的产沼气限速步骤在产甲烷阶段,而对照组限制于水解阶段,表明经EDTA预处理能有效地破除城市生活污泥厌氧消化过程的水解限速.     

玉米秸秆生物炭对稻田土壤砷、镉形态的影响

通过室内土壤培养的方法模拟稻田土壤环境,研究淹水环境下添加(1%添加量)不同温度制备的玉米秸秆生物炭(CB-300、CB-400、CB-500)对砷、镉复合污染稻田土壤氧化还原电位(Eh)、pH值及不同形态砷、镉含量动态变化的影响.结果表明,热解温度会影响玉米秸秆生物炭的理化性质,热解温度由300℃升至500℃,玉米秸秆生物炭芳香性增加,亲水性和极性降低,灰分含量增加,pH值升高.淹水环境下添加玉米秸秆生物炭处理相比对照(CK)可提高土壤pH值0.20~1.24,升高幅度大小为CB-500CB-400CB-300CK,随着培养时间的延长,pH值趋于平衡状态;淹水环境下土壤氧化还原电位均迅速下降,且不同处理组间存在显著差异,生物炭制备温度越高下降效果越明显,培养至第96 d时氧化还原电位降到最低.CK、CB-300、CB-400、CB-500处理组弱酸可提取态镉含量由淹水前的73.55%分别降至63.46%、57.73%、54.50%、53.94%,随着培养时间的延长,土壤中弱酸可提取态及可氧化态镉逐渐向残渣态及可还原态镉转化.土壤pH值与弱酸可提取态镉含量之间呈显著负相关关系.淹水环境下土壤可交换态砷含量升高,玉米秸秆生物炭的施加导致土壤交换态、Ca-结合态、Al-结合态和Fe-结合态砷含量逐渐上升,上升幅度分别为75.68%、20.92%、13.49%、48.66%,残渣态砷含量下降;土壤pH值与交换态砷含量之间呈显著正相关关系.研究结果可为砷、镉复合污染稻田安全生产与阻控提供数据支持.     

树脂基纳米钛锆氧化物复合吸附剂同步去除水中磷和氟

以大孔强碱性阴离子交换树脂D201为基体,负载纳米钛、锆氧化物,制备新型树脂基纳米钛锆氧化物复合吸附剂TiZr-D201.通过吸附等温线实验、pH影响实验、竞争吸附实验、动力学实验及柱吸附实验,并结合对吸附剂的表征,探讨了复合吸附剂对水中磷和氟的吸附性能和相应的吸附机制.结果表明,当pH值为5.8,温度为308K时,Ti-Zr-D201对磷和氟的Langmuir拟合最大吸附容量分别是34.9 mg·g~(-1)和35.1 mg·g~(-1),且吸附行为是自发进行的,温度越高,吸附效果越好;与磷相比,pH值对Ti-Zr-D201吸附氟的影响更为显著;选取SO_4~(2-)、NO_3~-和Cl~-作为竞争离子,Ti-Zr-D201较基体D201表现出很好的抗干扰能力;内扩散模型拟合结果表明Ti-Zr-D201在吸附平衡前存在两个不同的吸附阶段;柱吸附实验表明Ti-Zr-D201具有稳定的结构和良好的动态吸附性能,并且可再生循环使用,具备实际应用的潜力.     

SCAR处理城市生活污水的效能及其微生物群落动态分析

利用强化循环厌氧反应器(SCAR)处理模拟城市生活污水,研究不同负荷条件下的反应器运行特征、污泥特性及微生物种群结构.结果表明,水力停留时间(HRT)为6 h可以作为反应器高效运行的关键控制参数,该条件下污水化学需氧量(COD)去除率达到75%以上.随着反应器容积负荷的逐渐提高,颗粒污泥中辅酶F420和产甲烷活性(SMA)逐渐增加,胞外聚合物(EPS)含量也不断提高,其中紧密黏附EPS(TB-EPS)含量的增加尤其明显.厌氧颗粒污泥性状和反应器对污染物的去除效率同时受到污泥负荷和HRT的影响,微生物的群落结构及其在反应器中的空间分布也受到污泥负荷的影响,不同代谢特征微生物在反应器不同空间位置的相对丰度随着污泥负荷的调整而改变.     

大冶湖表层水和沉积物中重金属污染特征与风险评价

于2014年4月采集大冶湖表层水和表层沉积物,用原子吸收分光光度法测定其重金属含量,并基于健康风险评价模型和潜在生态风险指数法开展表层水和沉积物重金属污染的潜在健康风险和生态风险评价.结果表明,表层水和沉积物重金属(Ni、Cd、Cu和Pb)含量平均值分别为49.27、2.19、12.18、12.13μg·L~(-1)和78.46、77.13、650.13、134.22 mg·kg~(-1).富集系数显示,Cd、Cu和Pb均为重度富集,尤其是Cd累积最为明显.与国内典型湖泊重金属污染相比,表层水和沉积物中重金属元素含量均相对较高.表层水和沉积物重金属元素均表现为湖湾处含量较高,中部含量较均匀的分布规律,其来源主要受多种人为活动污染.环境风险评价显示,重金属类化学物质通过饮水途径产生健康风险范围为9.77E-08~1.63E-05 a-1,Ni和Cd是水环境健康风险的优先管理对象.沉积物重金属的潜在生态风险高低为CdCuPbNi,其中Cd是生态风险的贡献元素.     

西北石化区周围毒害类空气污染物污染特征及健康风险评价

采用SUMMA罐、活性炭吸附及玻璃纤维滤膜富集3种方式,于2014年12月对西北地区3个代表性炼化生产基地周围环境空气收集样品,并采用气相色谱-质谱联用、气相色谱法及高效液相色谱法3种方法,对13种典型毒害类物质进行分析,以研究其污染特征和人群健康风险.结果表明,3个石化区周围环境空气中8种毒害类物质普遍检出,检出率超过80%;石化区苯系物、1,3-丁二烯、对二氯苯、苯并[a]芘平均质量浓度范围分别为48.01~182.75μg·m~(-3)、6.28~7.95μg·m~(-3)、5.53~12.62μg·m~(-3)、7.03~36.08 ng·m~(-3).其中,苯并[a]芘超标最为严重,日均浓度超二级标准限值1.8~13.4倍,苯、甲苯、二甲苯也存在不同程度超标现象.3个石化区苯并[a]芘、1,3-丁二烯非致癌健康风险均已超出可接受的风险水平,兰州石化区周围人群遭受苯的非致癌不良影响风险也较高.与此同时,苯、乙苯、苯乙烯、1,3-丁二烯、对二氯苯、苯并[a]芘的致癌风险均超出了可接受的范围,其中苯、1,3-丁二烯、对二氯苯的致癌风险最为显著.     

地下水的致灾效应及异常地下水流诱发地质灾害

地下水是诱发和触发近地表地质灾害的最主要因素,在地质灾害评价、预测与防治中具有特殊重要的意义。本文对灾害过程中地下水的地质-力学作用一般原理和规律作了较为全面的分析,提出了地质体水敏性和水敏结构的概念,尤其对地下水的化学作用进行了较为深入的分析。结合具体实例,揭示了两类典型的极端情况下地下水触发地质灾害的特殊机理。一类是大型顺层滑坡发生过程中的地下水的“水垫-楔裂”效应;另一类是深埋长隧道中,地下水在高强度水头压力作用下的“劈裂”效应。两类效应在西南地区斜坡地质灾害和深埋长隧道的修建过程中都具有一定的典型意义。