Nitrogen cycling of atmosphere-plant-soft system in the typical Calamagrostis angustifolia wetland in the Sanjiang Plain,Northeast China

The nitrogen(N)distribution and cycling of atmosphere-plant-soil system in the typical meadow Calamagrostis angustifolia wetland (TMCW)and marsh meadow Calamagrostis angustifolia wetland(MMCW)in the Sanjiang plain were studied by a compartment model.The results showed that the N wet deposition amount was 0.757 gN/(m~2.a),and total inorganic N(TIN)was the main body (0.640 gN/(m~2.a)).The ammonia volatilization amounts of TMCW and MMCW soils in growing season were 0.635 and 0.687 gN/m~2, and the denitrification gaseous lost amounts were 0.617 and 0.405 gN/m~2,respectively.In plant subsystem,the N was mainly stored in root and litter.Soil organic N was the main N storage of the two plant-soil systems and the proportions of it were 93.98% and 92.16%, respectively.The calculation results of N turnovers among compartments of TMCW and MMCW showed that the uptake amounts of root were 23.02 and 28.18 gN/(m~2.a)and the values of aboveground were 11.31 and 6.08 gN/(m~2.a),the re-translocation amounts from aboveground to root were 5.96 and 2.70 gN/(m~2.a),the translocation amounts from aboveground living body to litter were 5.35 and 3.38 gN/(m~2.a),the translocation amounts from litter to soil were larger than 1.55 and 3.01 gN/(m~2.a),the translocation amounts from root to soil were 14.90 and 13.17 gN/(m~2.a),and the soil(0-15 cm)N net mineralization amounts were 1.94 and 0.55 gN/(m~2.a), respectively.The study of N balance indicated that the two plant-soil systems might be situated in the status of lacking N,and the status might induce the degradation of C.angustifolia wetland.     

Preliminary studies on nitrous oxide emissions from the ornithogenic soils on Xi-sha atoll, South China Sea

IntroductionNitrousoxide (N2 O)isoneofthemostimportantgreenhousegases ,anditplaysanimportantroleinthedepletionofstratosphericozone (Crutzen ,1977;Zhu ,2 0 0 4 ) .TheatmosphericN2 Oconcentrationshavebeenincreasingattherateof 0 2 %— 0 3%peryearandthegl…     

Degradation of nitrobenzene in aqueous solution by ozone-ceramic honeycomb

IntroductionAs a promising advanced oxidation technology for watertreatment ,catalytic ozonation has received great attentionforthe efficient degradation of organic compoundsinrecent years(Legube , 1999) . Some studies showed that homogeneousand heterogen…     

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.     

用于燃料电池的甲醇水蒸气重整反应制氢的研究

研究了甲醇水蒸气重整制氢反应过程中各种因素对Cu／ZnO／Al2O3催化剂的活性和选择性的影响。结果表明：Cu／Zn比为2．0的催化剂在250℃反应时，催化剂效果较好，最合适反应条件是：压力0．1MPa，温度250℃，n(H2O)：n(CH3OH)=1．0-1．2，液体流速0．1mL／min。在Cu／ZnO／Al2O3)，催化剂上，甲醇水蒸气重整、甲醇分解和水气转换反应随反应条件的不同而发生相互抑制或促进作用。     

冷挤大型法兰面螺母的工艺研究

以大型法兰面螺母为例 ,论述了用无缝钢管冷挤大型法兰面螺母工艺的可行性     

三丁基锡对蓝子鱼的激素和酶指标及组织显微结构的影响

采用静态暴露方式研究三丁基锡氯化物(TBTCl)对黄斑蓝子鱼(Siganus oramin)的毒性效应.当蓝子鱼暴露于40～4000 ng·L-1 TBTCl中10d或20d后,雌鱼和雄鱼的肝体指数显著升高,鳃、肝脏、脾脏、心脏、皮肤等组织的显微结构发生明显的病理变化;上述病变随毒物暴露剂量或暴露时间的增加而加剧.与对照组相比,暴露10d后,40 ng·L-1组的血浆睾酮水平和400 ng·L-1组的血浆皮质醇水平显著升高,4000ng·L-1组的血浆皮质醇水平显著降低、肝脏谷胱甘肽-S-转移酶(GST)活性极显著升高;暴露20d后,各处理组的血浆睾酮和皮质醇水平无显著变化,但40、400 ng·L-1组的肝脏GST活性显著升高.结果提示,肝体指数、肝脏代谢酶活性、血浆皮质醇水平,以及有关组织的病理变化可以作为评估三丁基锡等环境污染物毒性效应的生物指标.     

石灰石矿山环评中清洁生产的应用

石灰石矿山在我国分布广泛,矿山开采造成的资源浪费、环境污染等破坏因素非常复杂且难以恢复.针对这一特点,本文介绍了在石灰石矿山环评中运用清洁生产理念的一些实践.     

浅谈油田开发项目事故风险环境影响和防治措施——以大庆太19区油田开发为例

通过对国内外油田开发的类比事故调查及资料分析,结合大庆太19区油田开采的实际情况,事故风险主要来自于钻井(井下作业)天然气集输管线以及站场等工艺环节,危险其安全的潜在危险因素主要有自然灾害、腐蚀环境、误操作、设备缺陷、施工及人为破坏等同题.在油田开发过程中所发生的事故,不论是人为因素引起的还是自然灾害,其最终结果都是导致原油、天然气或含油污水的泄漏及火灾爆炸事故,并产生不同程度的环境风险,因此采取风险防治措施显得尤为重要.     

芳香化合物的光催化-臭氧联用降解研究

研究了几种芳香化合物的光催化 臭氧联用降解。探讨了光催化 臭氧联用技术降解有机物作用机理,分析了芳香化合物结构与反应活性的关系。实验结果表明,光催化 臭氧联用对芳香化合物的降解都存在一定的协同效应,而且符合表观准一级反应动力学规律;203#膜光催化臭氧的作用机理是催化臭氧产生了更多的高活性氧化剂,芳香化合物结构对其光催化 臭氧联用降解活性有很大影响。