粤东中生代火山旋回划分及对比

本文在基本查明火山岩系地层层序及变化的基础上,将粤东地区中生代火山岩划分为上、下两个岩系,四个旋回,对各旋回特征作了简要总结,并进行了区域对比分析。     

畜禽粪便冻融作用后磷形态分布及其释放特征

畜禽粪便中磷(P)释放特性与其赋存的形态密切相关,冻融循环可通过改变畜禽粪便的理化性质而影响粪便中P形态的分布,进而影响其后续的释放过程.本研究通过一系列室内模拟实验,探究了冻融循环对不同含水率猪粪中P形态分布的影响,以及冻融循环后粪便中P释放特征及其影响因素.结果表明,与未经冻融猪粪相比,冻融后低含水率粪便中Ca-P、Oc-P和Res-P含量分别下降了47.38%、29.76%和55.19%,NH_4Cl-P和Al-P分别增加了36.82%和23.13%;高含水率猪粪中Ca-P、Oc-P和Res-P含量分别减少了49.59%、41.59%和76.96%,NH_4Cl-P、Al-P和Fe-P含量分别增加了37.34%、32.84%和8.96%.经冻融处理的粪便P的释放速率和累积释放量明显大于未冻融处理的粪便.伪一级动力学方程、Elovich方程、权函数方程均能较好的拟合粪便P释放动力学过程,其中Elovich方程的拟合效果最佳,表明粪便中P释放动力学过程是以扩散为主的反应过程.雨水pH值和共存阴离子会影响粪便P的释放,溶液pH越低或NO~-_3/SO■比值越小,越有利用于粪便P的释放.依据统计数据估算,我国冻融区域内畜禽粪便因冻融导致的P最大释放增量总和约为3.20万t·a~(-1),为降低其面源污染风险需要更好的粪便储存处理措施.     

Methane Fluxes from a Wetland using the Flux-Gradient Technique The Measurement of Methane Flux from a Natural Wetland Pond and Adjacent Vegetated Wetlands using a TDL-Based Flux-Gradient Technique

Methane emissions were measured from a bog andlake in the Experimental Lakes Area in Northern Ontario in 1992and 1993, prior to and following flooding. Bog fluxes were smallin 1992 (0.27 mg m^-2 d^-1) but increased 5-fold in 1993 afterflooding. Over the bog, there was a diel cycle of nighttimeemission and daytime uptake in 1992 in contrast to constantemission in 1993. Lake emissions decreased after flooding butwere much greater than bog emissions in both years (average = 7.3 mg m^-2 d^-1). Seasonally, the bog flux was correlated withground temperatures after flooding. In 1992, lake fluxes werecorrelated with air temperature on a daily basis. In contrast,seasonal lake fluxes were correlated with water and sedimenttemperatures in 1992, but only with sediment temperatures in1993. These results are explained with respect to the effects offlooding on lake and bog dynamics.     

三江源典型高寒草地坡面土壤有机碳变化特征及其影响因素

以三江源地区高寒草地退化坡面为研究对象,从草地类型、鼠害和自然因素如水蚀、风蚀、冻融作用这一角度上探讨发生在不同退化程度上土壤有机碳的变化特征,对明晰高寒地区退化草地的碳变化机理和全球气候响应具有重要意义。结果表明:同一侵蚀环境条件和退化程度下,以小嵩草、矮嵩草为优势种高寒草甸比以紫花针茅为优势种的高寒草原土壤有机碳蓄存能力高。轻度退化程度受水蚀影响的高寒草甸曲麻河乡QMH1坡面土壤有机碳平均含量是相距3.5 km高寒草原曲麻河乡QMH2坡面的2.2倍(P<0.01);轻度退化程度受风蚀影响的高寒草甸五道梁WDL坡面土壤有机碳平均含量是高寒草原不冻泉BDQ坡面土壤有机碳含量的3.8倍(P<0.01)。水蚀作用显著影响了高寒退化草地土壤有机碳在坡面上的分布,表现为随坡面向下迁移富集的特征。轻度退化程度受水蚀影响的高寒草甸玛龙ML1号坡面下坡位(距坡顶580 m以下)土壤有机碳平均含量比上坡位(距坡顶580 m以上)高22%(P<0.01)。高寒草甸玛龙ML2坡面土壤有机碳分布特征,不仅具有土壤有机碳含量随退化程度加剧而降低的规律,还叠加有土壤有机碳随水土流失向下富集的迁移分布规律,具体表现为坡上位轻度退化>坡中下位中度退化>坡下位极度退化>坡中上位重度退化,因极度退化坡位处于重度退化的下坡位,表现出极度退化坡位土壤有机碳含量比重度退化坡位高49.3%(P<0.05)。风蚀作用使高寒退化草地表层土壤粗骨化和土壤有机碳加速矿化,表现为受湖陆风影响较弱的鄂陵湖ELH坡面土壤有机碳平均含量比受湖陆风影响较强的扎陵湖ZLH坡面高27.9%(P<0.05)。冻融垮塌降低了高寒退化草地土壤有机碳平均含量,但差异不显著。鼠害影响降低了高寒退化草地土壤有机碳的平均含量,并加速了高寒草地退化的进程。中度退化鼠洞周围SDⅠ-Ⅲ土壤有机碳平均含量是极度退化鼠洞周围SDⅣ-Ⅵ的2.1倍;而未受鼠害影响的中度退化ML2Ⅰ-Ⅱ土壤有机碳平均含量是极度退化ML2Ⅳ-Ⅵ的1.6倍。高寒坡面草地受水蚀、风蚀、冻融以及鼠害等因素作用加剧了土壤有机碳的损失。     

冻融作用下寒温带针叶林土壤碳氮矿化过程研究

以大兴安岭落叶松林土壤为研究对象,设置8℃恒温和-5-8℃冻融循环（1个冻融循环为在-5℃培养24 h,后在8℃培养24 h）2个处理,进行30 d的室内培养实验,探讨了寒温带针叶林土壤在冻融交替时期的碳氮矿化过程及其相互关系。结果表明,培养温度和培养时间对土壤碳矿化速率和碳矿化累积量均有显著影响。第1次和第5次冻融循环后,冻融处理土壤的碳矿化速率显著高于恒温培养下土壤的碳矿化速率;第7次和第15次冻融循环后,冻融土壤碳矿化累积量显著低于恒温土壤的碳矿化累积量。土壤氮矿化速率没有受到培养温度、培养时间以及二者交互作用的影响,但培养时间和培养温度对土壤净氮矿化累积量有显著的影响。第5、7、15次冻融循环后,冻融处理的土壤无机氮净矿化累积量低于恒温培养的土壤无机氮净矿化累积量。经过30 d的培养,恒温处理下的土壤碳、氮矿化累积量（碳累积量：92.82μg·g-1,氮累积量73.76 mg·kg-1）是冻融处理下（碳累积量：65.51μg·g-1,氮累积量33.45 mg·kg-1）的1.42倍和2.21倍。土壤碳矿化累积量与土壤净氮矿化累积量均为正相关关系,但在相同的碳释放量下冻融循环处理土壤累积的无机氮较少。以上结果表明,冻融循环减少了大兴安岭寒温带落叶松林土壤碳排放和无机氮的累积,有利于土壤碳的固持和减少养分的流失。     

草原土壤的碳氮分布与CO2排放通量的相关性分析

利用静态暗箱法,对内蒙古锡林河流域的贝加尔针茅(Stipa baicalensis)、羊草(Leymus chinensis)、大针茅(Stipa grandis)、克氏针茅(Stipa krylovii)等草原群落样地的CO₂排放通量进行了测定;同时采集各样地的不同层次土壤混合样,分析其中有机碳和全氮的含量,探讨其与CO₂排放的相关性.结果发现:不同样地群落的CO₂排放与其土壤中不同层次的有机碳和全氮含量呈高度正相关,相关系数(R)均0.8以上,说明在环境因子相对稳定的情况下,土壤有机碳和全氮含量直接或间接地决定生态系统CO₂排放通量的变化.另外,土壤不同层次的有机碳和全氮含量随深度增加递减,其中70%以上集中在0～30cm土层中,说明它们主要是来自地表有机质的分解;在0～100cm的土层中,土壤有机碳和全氮的总含量从贝加尔针茅草原、大针茅草原、羊草草原和克氏针茅草原依次减少,表明降水量、蒸发量和干燥度是影响土壤有机碳、全氮分布的重要因子.     

Carbon, nitrogen, oxygen and sulfide budgets in the Black Sea: A biogeochemical model of the whole water column coupling the oxic and anoxic parts

Carbon, nitrogen, oxygen and sulfide budgets are derived for the Black Sea water column from a coupled physical-biogeochemical model. The model is applied in the deep part of the sea and simulates processes over the whole water column including the anoxic layer that extends from ?115 m to the bottom (?2000 m). The biogeochemical model involves a refined representation of the Black Sea foodweb from bacteria to gelatinous carnivores. It includes notably a series of biogeochemical processes typical for oxygen deficient conditions with, for instance, bacterial respiration using different types of oxidants (i.e denitrification, sulfate reduction), the lower efficiency of detritus degradation, the ANAMMOX (ANaerobic AMMonium OXidation) process and the occurrence of particular redox reactions. The model has been calibrated and validated against all available data gathered in the Black Sea TU Ocean Base and this exercise is described in Gregoire et al. (2008). In the present paper, we focus on the biogeochemical flows produced by the model and we compare model estimations with the measurements performed during the R.V. KNORR expedition conducted in the Black Sea from April to July 1988 (Murray and the Black Sea Knorr Expedition, 1991). Model estimations of hydrogen sulfide oxidation, metal sulfide precipitation, hydrogen sulfide formation in the sediments and water column, export flux to the anoxic layer and to the sediments, denitrification, primary and bacterial production are in the range of field observations.With a simulated Gross Primary Production (GPP) of 7.9 mol C m⁻² year⁻¹ and a Community Respiration (CR) of 6.3 mol C m⁻² year⁻¹, the system is net autotrophic with a Net Community Production (NCP) of 1.6 mol C m⁻² year⁻¹. This NCP corresponds to 20% of the GPP and is exported to the anoxic layer. In order to model Particulate Organic Matter (POM) fluxes to the bottom and hydrogen sulfide profiles in agreement with in situ observations, we have to consider that the degradation of POM in anoxic conditions is less efficient that in oxygenated waters as it has often been observed (see discussion in Hedges et al., 1999). The vertical POM profile produced by the model can be fitted to the classic power function describing the oceanic carbon rate (C_R=Z^−α) using an attenuation coefficient α of 0.36 which is the value proposed for another anoxic environment (i.e. the Mexico Margin) by Devol and Hartnett (2001). Due to the lower efficiency of detritus degradation in anoxic conditions and to the aggregation of particles that enhanced the sinking, an important part of the export to the anoxic layer (i.e. 33%, 0.52 mol C m⁻² year⁻¹) escapes remineralization in the water column and reaches the sediments. Therefore, sediments are active sites of sulfide production contributing to 26% of the total sulfide production.In the upper layer, the oxygen dynamics is mainly governed by photosynthesis and respiration processes as well as by air-sea exchanges. ?71% of the oxygen produced by phytoplankton (photosynthesis+nitrate reduction) is lost through respiration, ?21% by outgasing to the atmosphere, ?5% through nitrification and only ?2% in the oxidation of reduced components (e.g. Mn²⁺, Fe²⁺, H₂S).The model estimates the amount of nitrogen lost through denitrification at 307 mmol N m⁻² year⁻¹ that can be partitioned into a loss of ?55% through the use of nitrate for the oxidation of detritus in low oxygen conditions, ?40% in the ANAMMOX process and the remaining ?5% in the oxidation of reduced substances by nitrate.In agreement with data analysis performed on long time series collected since the 1960s (Konovalov and Murray, 2001), the sulfide and nitrogen budgets established for the anoxic layer are not balanced in response to the enhanced particle fluxes induced by eutrophication: the NH₄ and H₂S concentrations increase.     

雅鲁藏布江源区土壤侵蚀特征

以雅鲁藏布江源区所在的马泉河流域为研究区域,运用遥感和G IS技术对土壤侵蚀及其空间分布的地貌特征进行研究,结果表明:轻度及其以上强度土壤侵蚀面积为18 933.33 km2,占源区面积的71.86%;冻融侵蚀是土壤侵蚀的主要形式,占源区面积的82.53%;风力侵蚀占5.33%,集中分布在河谷宽谷段;水力侵蚀面积所占比例较小,以微度侵蚀为主。土壤侵蚀的地理分布规律受海拔高度的影响较大,垂直分异明显,主要发生在坡度等级较低、地势较平坦的地区。轻度以上冻融侵蚀主要分布在海拔4 600~5 200 m,且有20%以上集中在0°~5°坡地;风力侵蚀主要分布在海拔4 600~5 600 m、0°~25°坡地。极强烈风力侵蚀以西南坡向最大,南、西、东南坡和平地分布较少。强烈风力侵蚀以平地所占比例最大,东北和西2个坡向次之。坡向对冻融侵蚀影响较小。     

CARBON CONTENT OF SEDIMENTS OF SMALL RESERVOIRS1

ABSTRACT: Carbon content was measured in sediments deposited in 58 small reservoirs across the United States. Reservoirs varied from 0.2 to 4000 km2 in surface area. The carbon content of sediment ranged from 0.3 to 5.6 percent, with a mean of 1.9 ± 1.1 percent. No significant differences between the soil and sediment carbon content were found using a paired t-test or ANOVA. The carbon content of sediments in reservoirs was similar to the carbon content of surface soils (0–10 cm) in the watershed, except in watersheds with shrub or steppe (desert) vegetation. Based on the sediment accumulation rates measured in each reservoir, the calculated organic carbon accumulation rates among reservoirs ranged from 26 to 3700 gC m^-2yr^-1, with a mean of 675 ± 739 gC m^-2yr^-1. The carbon content and accumulation rates were highest in sediments from grassland watersheds. High variability was found in carbon content, carbon accumulation, and sediment accumulation rates due to individual watershed and reservoir characteristics rather than to any broad physiographic patterns. The carbon accumulation rates in these reservoir sediments indicate that reservoir sediments could be a significant sink for organic carbon.     

Evaluation of the International Vehicle Emission （IVE） model with on-road remote sensing measurements

Intemational Vehicle Emissions （IVE） model funded by U.S. Environmental Protection Agency （USEPA） is designed to estimate emissions from motor vehicles in developing countries. In this study, the IVE model was evaluated by utilizing a dataset available from the remote sensing measurements on a large number of vehicles at five different sites in Hangzhou, China, in 2004 and 2005. Average fuel-based emission factors derived from the remote sensing measurements were compared with corresponding emission factors derived from IVE calculations for urban, hot stabilized condition. The results show a good agreement between the two methods for gasoline passenger cars＇ HC emission for all 1VE subsectors and technology classes. In the case of CO emissions, the modeled results were reasonably good, although systematically underestimate the emissions by almost 12%-50% for different technology classes. However, the model totally overestimated NOx emissions. The IVE NOx emission factors were 1.5-3.5 times of the remote sensing measured ones. The IVE model was also evaluated for light duty gasoline truck, heavy duty gasoline vehicles and motor cycles. A notable result was observed that the decrease in emissions from technology class State II to State I were overestimated by the IVE model compared to remote sensing measurements for all the three pollutants. Finally, in order to improve emission estimation, the adjusted base emission factors from local studies are strongly recommended to be used in the IVE model.