广西刁江沿岸土壤As,Pb和Zn污染的分布规律差异

分析了刁江流域矿区尾砂和上、中、下游地区土壤剖面重金属的含量. 结果表明:刁江流域上、中、下游地区都不同程度受到As,Pb和Zn的污染. 上游(距污染源16 km)表层土壤中w(As),w(Pb)和w(Zn)与尾砂相当,分别高达2.4×104,5.6×103 和1.2×104 mg/kg,下游拉烈和百旺(分别距污染源154和192 km)2个采样点表层土壤中w(As),w(Pb)和w(Zn)的平均值分别是《土壤环境质量标准》(GB15618—1995)三级标准的47.05,1.81和5.48倍. 表层土壤中w(As)和w(Pb)随采样点距污染源的距离增加呈幂函数下降,w(Zn)呈线性下降,表明Zn在流域内的迁移能力大于Pb和As. 土壤剖面中3种重金属的质量分数均随土层深度的增加呈降低趋势,在土壤剖面的迁移能力表现为Zn>Pb>As. 总体上看,刁江流域土壤污染与尾砂中重金属的形态及其迁移特征密切相关,尾砂的排放控制和治理应该是刁江流域污染整治的关键.      

沼泽湿地植物光合特性及固“碳”潜势对外源氮输入的响应

以沼泽湿地典型草甸植被小叶章(Calamagrostis angustifolia)为研究对象,在三江平原进行了野外培养实验,探讨了4个不同氮素输入水平(0(NO)、6(N6),12(N12)、24(N24)g·m-2· a-1)下沼泽湿地植物生长与光合特性的响应特征,并从光合固"碳"的角度分析了小叶章沼泽湿地的固"碳"潜势.结果表明,外源氮输入明显促进了小叶章的株高、叶面积及植株数,显著增加了碳的生物量积累,到植物生长季结束,N6、N12和N24三个施氮水平下,小叶章地上部分生物量分别比对照增加了58.79%、133.11%和190.55%.同时,小叶章叶片全氮含量、叶绿素、可溶性蛋白和游离氨基酸含量也显著增加,净光合速率明显提高,分别比对照增加了20.70%、26.69%和53.54%.从光合固"碳"的角度来看,外源氮输入能够促使沼泽湿地植物通过光合作用固定更多CO2.     

应用氢化物发生-原子荧光光谱法测定土壤中砷的方法研究

本文主要讨论应用氢化物发生-原子荧光光谱法,测定土壤中砷的技术。用硝酸-高氯酸分解法对样品进行预处理,探讨了共存离子对测定的影响及干扰的消除,分析了土壤标样Ess-2、Ess-3,进行了方法精密度和回收率试验。在经过优化的试验条件下,砷的检出限:0.02ug/L。回收率在91%~107%之间,相对标准偏差小于或等于7.8%。土壤标样Ess-2、Ess-3测定值与标准值相符,相对标准偏差也低于10%。表明将该法用于土壤中砷的测定操作简便、快速基体干扰少、灵敏度高、分析结果稳定可靠。     

蜈蚣草根部对As（Ⅲ）的吸收特性

采用水培实验对蜈蚣草吸收As（Ⅲ）的吸收特性进行了研究,结果表明在各个处理浓度范围内,培养液中As（Ⅲ）的吸收效率随着时间递增.当处理浓度为10 mg·L-1时,24 h后蜈蚣草对As（Ⅲ）的吸收高达97.57%,而在处理浓度为500 mg·L^-1和1000 mg·L^-1时,蜈蚣草对As（Ⅲ）的吸收比例明显降低,吸...     

多元复合调理剂对镉砷污染农田土壤微生物群落结构的影响

通过温室盆栽试验,研究多元复合调理剂（石灰石、铁粉、硅肥和钙镁磷肥,简称LISP）对土壤基本理化性质、Cd和As的生物有效性和微生物群落结构的影响.结果表明,LISP可改变土壤基本理化性质,降低土壤有效态Cd和As含量,并改变土壤微生物群落结构.在0.4%的LISP添加下,土壤pH值、有效磷和总磷含量较CK处理分别显著（P< 0.05）提高0.57单位、130.6%和18.38%,同时土壤有效态Cd和As含量较对照分别显著（P< 0.05）降低21.76%和16.39%.高通量测序结果表明,添加LISP可维持污染土壤中正常微生物群落的多样性和丰富度,而显著改变土壤微生物群落的组成和结构,其中厚壁菌门、放线菌门和浮霉菌门等门水平物种的相对丰度增加,而绿弯菌门、酸杆菌门和疣微菌门等门水平物种的相对丰度降低.冗余分析和Mantel检验分析表明,土壤pH值、有效磷以及有效态Cd和As含量是影响土壤微生物群落结构的主要环境因子.上述结果表明,LISP是一种有效的、生态安全的调理剂用于农田土壤Cd和As污染土壤修复.     

Potential world garbage and waste carbon sequestration

To offset the carbon dioxide released by fossil fuels, a proposed sequestration strategy relies on burying garbage and waste in landfills. This paper roughly estimates the current annual world supply of carbonaceous waste to be 35.5 billion metric tons and to contain about 18 billion metric tons of carbon. If landfills received all of this waste, sequestration of more than 5.6 billion metric tons of carbon seems theoretically possible—an amount well in excess of the 3.3 billion metric tons which the atmosphere is currently gaining.     

稻田落干过程砷甲基化效率变化与关键影响因素分析

研究稻田落干过程砷甲基化效率变化规律,分析关键环境和生物因素的影响,为今后水稻直穗病防控提供科学依据.开展室内培养模拟稻田落干过程,以采集自贵州兴仁（XR）和广西南丹（ND）的两种砷污染水稻土壤为供试土壤,各土壤设置添加（RS）和不添加（CK）水稻秸秆处理,分析自然落干0、24、36、48和60 h过程中Eh、pH、孔隙水总有机碳（TOC）、砷形态、砷甲基化功能基因（arsM）、硫酸盐还原菌（dsrA,砷甲基化相关微生物）、产甲烷菌（mcrA,砷去甲基化相关微生物）丰度和arsM功能微生物多样性变化.稻田落干过程土壤Eh由完全淹水状态下的-300~-200 mV向落干后的-150~-50 mV变迁,而pH值变化规律不明显;孔隙水无机砷（iAs）和二甲基砷（DMAs）浓度随落干过程变化更为显著,总体呈现增加趋势,且RS处理DMAs浓度显著高于CK,ND土壤孔隙水比XR土壤孔隙水DMAs浓度更高;随落干时间延长,XR-CK和XR-RS处理土壤砷甲基化效率有一定提升,但变化不显著,而ND-CK和ND-RS处理土壤砷甲基化效率显著增加.当培养为60 h时,ND-CK和ND-RS处理砷甲基化效率相比培养初期分别提高约61.8%和23.2%;随落干时间延长arsM和dsrA基因拷贝数明显增加,而mcrA基因拷贝数显著下降.秸秆添加后显著提高全细菌和arsM、dsrA和mcrA基因丰度;进一步基于多因素方差分析和冗余分析发现,供试土壤、秸秆添加、落干时间和其交互作用对于各砷形态、砷甲基化效率和关键基因丰度变化影响显著,TOC、Eh和砷甲基化相关基因与甲基态砷呈正向关联,而与无机砷iAs呈负向关联;基于arsM微生物测序发现,伴随落干过程还发生着砷甲基化功能微生物群落的更替.研究结果有助于提升稻田落干过程中砷甲基化变化的理论认知,为今后水稻直穗病科学防控提供指导.     

Carbon sequestration in soils of SW-Germany as affected by agricultural management—Calibration of the EPIC model for regional simulations

Global emissions trading allows for agricultural measures to be accounted for the carbon sequestration in soils. The Environmental Policy Integrated Climate (EPIC) model was tested for central European site conditions by means of agricultural extensification scenarios. Results of soil and management analyses of different management systems (cultivation with mouldboard plough, reduced tillage, and grassland/fallow establishment) on 13 representative sites in the German State Baden-Württemberg were used to calibrate the EPIC model. Calibration results were compared to those of the Intergovernmental Panel on Climate Change (IPCC) prognosis tool. The first calibration step included adjustments in (a) N depositions, (b) N₂-fixation by bacteria during fallow, and (c) nutrient content of organic fertilisers according to regional values. The mixing efficiency of implements used for reduced tillage and four crop parameters were adapted to site conditions as a second step of the iterative calibration process, which should optimise the agreement between measured and simulated humus changes. Thus, general rules were obtained for the calibration of EPIC for different criteria and regions. EPIC simulated an average increase of +0.341 Mg humus-C ha⁻¹ a⁻¹ for on average 11.3 years of reduced tillage compared to land cultivated with mouldboard plough during the same time scale. Field measurements revealed an average increase of +0.343 Mg C ha⁻¹ a⁻¹ and the IPCC prognosis tool +0.345 Mg C ha⁻¹ a⁻¹. EPIC simulated an average increase of +1.253 Mg C ha⁻¹ a⁻¹ for on average 10.6 years of grassland/fallow establishment compared to an average increase of +1.342 Mg humus-C ha⁻¹ a⁻¹ measured by field measurements and +1.254 Mg C ha⁻¹ a⁻¹ according to the IPCC prognosis tool. The comparison of simulated and measured humus C stocks was r² ≥ 0.825 for all treatments. However, on some sites deviations between simulated and measured results were considerable. The result for the simulation of yields was similar. In 49% of the cases the simulated yields differed from the surveyed ones by more than 20%. Some explanations could be found by qualitative cause analyses. Yet, for quantitative analyses the available information from farmers was not sufficient. Altogether EPIC is able to represent the expected changes by reduced tillage or grassland/fallow establishment acceptably under central European site conditions of south-western Germany.     

有机污染物土地生物处理过程动态规律模拟研究

应用土壤颗粒内部有机污染物屏蔽理论,说明土地生物处理过程中残余有机污染物在土壤中的滞留现象,提出描述有机污染物在土壤及相连的水环境中生物降解过程的数学模型.其中,污染物的扩散过程用Fick第二扩散定律表示,可逆的吸附和解吸过程用线性吸附等温线表示,不可逆的土壤颗粒内部屏蔽过程用假一级反应动力学方程表示,生物降解过程用Monod动力学方程表示.模型计算结果与实验结果基本拟合,表示模型基本可靠.利用该数学模型,可以定量预测有机污染物进行土地生物处理所需的时间、处理的程度及动态规律.     

Modeling carbon sequestration under zero tillage at the regional scale. I. The effect of soil erosion

Zero tillage is recognized as a potential measure to sequester carbon dioxide in soils and to reduce CO₂ emissions from arable lands. An up-scaling approach of the output of the Environmental Policy Integrated Climate (EPIC) model with the information system SLISYS-BW has been used to estimate the CO₂-mitigation potential in the state of Baden-Württemberg (SW-Germany). The state territory of 35,742 km² is subdivided into eight agro-ecological zones (AEZ), which have been further subdivided into a total of 3976 spatial response units. Annual CO₂-mitigation rates where estimated from the changes in soil organic carbon content comparing 30 years simulations under conventional and zero tillage. Special attention was given to the influence of tillage practices on the losses of organic carbon through soil erosion, and consequently on the calculation of CO₂-mitigation rates. Under conventional tillage, mean carbon losses through erosion in the AEZ were estimated to be up to 0.45 Mg C ha⁻¹ a⁻¹. The apparent CO₂-mitigation rate for the conversion from conventional to zero tillage ranges from 0.08 to 1.82 Mg C ha⁻¹ a⁻¹ in the eight AEZ, if the carbon losses through soil erosion are included in the calculations. However, the higher carbon losses under conventional tillage compared to zero tillage are composed of both, losses through enhanced CO₂ emissions, and losses through intensified soil erosion. The adjusted net CO₂-mitigation rates of zero tillage, subtracting the reduced carbon losses through soil erosion, are between 0.07 and 1.27 Mg C ha⁻¹ a⁻¹ and the estimated net mitigation rate for the entire state amounts to 285 Gg C a⁻¹. This equals to 1045 Gg CO₂-equivalents per year with the cropping patterns in the reference year 2000. The results call attention to the necessity to revise those estimation methods for CO₂-mitigation which are exclusively or predominantly based on the measurements of differential changes in total soil organic carbon without taking into account the tillage effects on carbon losses through soil erosion.