土地利用方式对土壤团聚体稳定性和有机碳含量的影响

探究不同土地利用方式下土壤团聚体的粒径分布、稳定性及有机碳在各粒径团聚体中的分布规律,以期为重庆地区土壤结构的改善及土壤有机碳库的维持及提高提供依据.以重庆市北碚区6种土地利用方式(针阔叶混交林、竹林、果园、旱地、水田和荒草地)为研究对象,采用湿筛法对土壤进行粒径分组,对比分析了6种土地利用方式处理下土壤团聚体和团聚体有机碳在0～20、20～40、40～60和60～100 cm土壤剖面中的分布规律.结果表明,不同土地利用方式下,土壤的结构和肥力水平存在显著的差异.在0～100 cm土层土壤的各粒径团聚体中,6种土地利用方式的团聚体粒径均以 0. 25 mm为主;其中,竹林 0. 25 mm团聚体含量最高,其次是荒草地,旱地与果园含量最低.不同土地利用方式下0. 25～2 mm的粒径团聚体主要分布在0～20 cm土层(28. 78%～50. 08%),而0. 053～0. 25 mm和0. 053 mm的粒径团聚体主要集中在40～60cm土层.在整个土壤深度内,竹林和荒草地的土壤团聚体MWD和GMD均高于其他土地利用方式,即二者的土壤团聚体稳定性较强.土壤团聚体稳定性与土壤团聚体有机碳呈极显著正相关(r=0. 569,P 0. 01),在0～100 cm土层中,土壤0. 25～2 mm和0. 053 mm粒径的有机碳含量较高,其中0. 25～2 mm的最高,平均含量为56. 54 g·kg~(-1).除旱地土壤各粒径团聚体有机碳含量在20～40 cm土层内最高,其他土地利用方式下土壤各粒径团聚体内有机碳含量均随土壤深度的增加而降低,表现出显著的表层富集现象.总体上,6种土地利用方式下,竹林和荒草地在各土层中的土壤团聚体稳定性较好,且在各土层中,竹林土壤各粒径团聚体有机碳含量最高.     

燃煤锅炉颗粒物化学组成排放特征

本研究收集了兰州市不同吨位燃煤锅炉颗粒物排放样品,分析并评估了锅炉烟气中水溶性无机离子、碳质组分、水溶性有机物(WSOC)以及多环芳烃(PAHs)的排放水平、排放特征及其影响因素.结果表明,SO_4~(2-)、Cl~-和Ca~(2+)是燃煤锅炉样品中最主要的水溶性离子,分别占水溶性离子总和的35. 13%、23. 16%和22. 20%.不同吨位燃煤锅炉样品的OCEC及其热解成分谱较为相似,OC1、OC2、OC3、OC4、EC1、EC2和EC3分别占TC的1. 04%、8. 26%、20. 09%、6. 78%、51. 08%、7. 09%和5. 66%,其中EC1的含量最高,是最主要的碳质组分. WSOC/TC和WSOC/OC分别为0. 09±0. 07和0. 23±0. 12,且不同吨位锅炉之间差异较大.菲(Phe)、芘(Pyr)和苯并(k)荧蒽(Bk F)是PAHs的3个主要成分,分别占PAHs总和的16. 69%、11. 93%和10. 66%.不同吨位燃煤锅炉所排放颗粒物中水溶性离子、OCEC以及WSOC均与锅炉吨位大小无明显线性相关,随着吨位的增加PAHs轻组分含量减小.     

聚己内酯与聚羟基丁酸戊酸酯的脱氮性能对比

以可生物降解聚合物聚己内酯(PCL)和聚羟基丁酸戊酸酯(PHBV)作为反硝化缓释碳源和微生物载体,利用清水释碳和批式反硝化试验选出适用于再生水反硝化深度脱氮生物滤池的可生物降解碳源滤料,通过比较与分析碳源滤料的表面形态及物质特性和附着微生物的群落特征揭示其性能优越的原因.结果表明,PHBV反硝化启动时间短,反硝化速率高,剩余有机物浓度低,相比PCL具有更稳定持续的反硝化效果.原因是其表面粗糙,且含有大量C—O和CO等亲水性基团,易于微生物附着和降解利用;其表面附着的微生物种类多样,其中发硫菌属(Thiothrix)、假单胞属(Pseudomonas)、菌胶团属(Zoogloea)、黄杆菌属(Flavobacterium)和脱氯菌属(Dechloromonas)等优势菌属均具有异养反硝化功能.因此,PHBV更适合作为再生水反硝化深度脱氮生物滤池的碳源滤料.     

复合纳米微粒修饰碳糊电极方波伏安法检测水中甲基对硫磷

采用溶胶-凝胶法合成纳米ZrO2,将其混合在石墨粉和碳纳米管（CNTs）中,利用硅油做粘合剂,制得一次性有机磷农药（OPs）检测碳糊电极（CNTs/ZrO2│CPE）,并对水中甲基对硫磷（MP）进行了检测.采用扫描电镜（SEM）、X射线荧光光谱（XRFS）表征电极的制备过程,采用循环伏安（CV）法和方波伏安（SWV）法...     

The effects of forest harvest intensity in combination with wind disturbance on carbon dynamics in Lake States Mesic Forests

Total forest carbon (C) storage is determined by succession, disturbances, climate, and the edaphic properties of a site or region. Forest harvesting substantially affects C dynamics; these effects may be amplified if forest harvesting is intensified to provide biofuel feedstock. We tested the effects of harvest intensity on landscape C using a simulation modeling approach that included C dynamics, multiple disturbances, and successional changes in composition. We developed a new extension for the LANDIS-II forest landscape disturbance and succession model that incorporates belowground soil C dynamics derived from the CENTURY soil model. The extension was parameterized and calibrated using data from an experimental forest in northeastern Wisconsin, USA. We simulated a 9800 ha forested landscape over 400 years with wind disturbance combined with no harvesting, harvesting with residual slash left on site (‘standard harvest’), and whole-tree harvesting. We also simulated landscapes without wind disturbance and without eastern hemlock (Tsuga canadensis) to examine the effects of detrital quantity and quality on C dynamics. We estimated changes in live C, detrital C, soil organic C, total C, and forest composition. Overall, the simulations without harvesting had substantially greater total C and continued to sequester C. Standard harvest simulations had more C than the whole tree harvest simulations. Under both harvest regimes, C accrual was not evident after 150 years. Without hemlock, SOC was reduced due to a decline in detritus and a shift in detrital chemistry. In conclusion, if the intensity of harvesting increases we can expect a corresponding reduction in potential C storage. Compositional changes due to historic circumstances (loss of hemlock) may also affect forest C although to a lesser degree than harvesting. The modeling approach presented enabled us to consider multiple, interacting drivers of landscape change and the subsequent changes in forest C.     

The Al Gore effect: An Inconvenient Truth and voluntary carbon offsets

This paper examines the relationship between climate change awareness and household behavior by testing whether Al Gore's documentary An Inconvenient Truth caused an increase in the purchase of voluntary carbon offsets. I find that in the two months following the film's release, zip codes within a 10-mile radius of a zip code where the film was shown experienced a 50 percent relative increase in the purchase of voluntary carbon offsets. During other times, offset purchasing patterns for zip codes inside the 10-mile radius were similar to the patterns of zip codes outside the 10-mile radius. There is, however, little evidence that individuals who purchased an offset due to the film purchased them again a year later.     

复合光催化剂(TiO2/多壁碳纳米管)制备工艺条件对甲基橙光催化降解动力学的影响

采用溶胶-凝胶法在不同条件下制备了多壁碳纳米管(MwCNTs)负载纳米TiO2的复合光催化剂(TiO2/MWCNTs).以偶氮类染料甲基橙为模拟污染物,研究不同制备工艺参数的复合光催化剂对甲基橙的光催化降解动力学的影响.对TiO2/MWCNTs的表征结果表明,纳米TiO2较好地分散在多壁碳纳米管表面;随着温度的升高,复...     

大亚湾和四十里湾附近海域表层沉积物中无机碳形态研究

采用连续浸取法对位于亚热带的大亚湾和温带的四十里湾附近海域的表层沉积物样品中无机碳的赋存形态进行了研究,将无机碳分为可交换态（NaCl相）、弱碱浸取态（NH.3H2O相）、强碱浸取态（NaOH相）、弱酸浸取态（NH2OH.HCl相）和残渣态,测定了相关地球化学参数粒度组成和总有机碳（TOC）.结果表明,NH2OH.HC...     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

温度和氮素输入对青藏高原三种高寒草地土壤碳矿化的影响

选取了海北高寒草甸、那曲高寒草原和当雄高寒湿地3种典型高寒草地生态系统类型为研究对象,采集了表层0~10 cm土壤,在实验室内进行可控温度下的碳矿化培养实验。结果表明,青藏高原土壤碳矿化在不同高寒草地类型间存在显著差异（P≤0.05）。在较低的温度下,高寒湿地土壤的碳矿化速率显著低于高寒草甸土壤,而温度在15℃左右时,高寒湿地土的碳矿化速率略高于高寒草甸土壤,当温度处于较高的水平时（〉20℃）,高寒湿地土壤碳矿化速率远高于高寒草甸土壤,高寒湿地土壤碳矿化的Q10显著大于高寒草甸。无论是低温还是较高的温度,高寒草原土壤碳矿化速率最低,数值范围也最窄。高寒草甸和高寒湿地土壤碳矿化均受温度的显著影响（P≤0.05）,其速率均跟温度呈现一级指数函数方程关系,而高寒草原土壤碳矿化速率与温度间未呈现明显的函数关系,但不同温度间的土壤碳矿化速率存在显著差异。氮素输入对高寒草甸和高寒湿地土壤碳矿化的影响不明显,但显著促进了高寒草原土壤碳矿化作用。