Characterisation of Organic Matter and Carbon Cycling in Rehabilitated Lignite-rich Mine Soils

Open-cast lignite mining in the Lusatian mining district resulted in rehabilitated mine soils containing up to four organic matter types: (1) recent plant litter, (2) lignite deposited by mining activity, (3) carbonaceous ash particles deposited during amelioration of the lignite-containing parent substrate and (4) airborne carbonaceous particles deposited during contamination. The influence of lignite-derived carbon types on the organic matter development and their role in the soil carbon cycle was unknown. This paper presents the findings obtained during a six year project concerning the impact of lignite on soil organic matter composition and the biogeochemical functioning of the ecosystem. The organic matter development after rehabilitation was followed in a chronosequence of rehabilitated mine soils afforested in 1966, 1981 and 1987. A differentiation of the organic matter types and an evaluation of their role within the ecosystem was achieved by the use of ¹⁴C activity measurements, ¹³C CPMAS NMR spectroscopy and wet chemical analysis of plant litter compounds. The results showed that the amount and degree of decomposition of the recent organic matter derived from plant material of the 30 year old mine soil was similar to natural uncontaminated forest soil which suggests complete rehabilitation of the ecosystem. The decomposition and humification processes were not influenced by the presence of lignite. On the other hand it was shown that lignite, which was thought to be recalcitrant because of its chemical structure, was part of the carbon cycle in these soils. This demonstrates the need to elucidate further the stabilisation mechanisms of organic matter in soils.     

NATURAL EROSION RATES AND THEIR PREDICTION IN THE IDAHO BATHOLITH1

ABSTRACT: Natural rates of surface erosion on forested granitic soils in central Idaho were measured in 40 m² bordered erosion plots over a period of four years. In addition, we measured a variety of site variables, soil properties, and summer rainstorm intensities in order to relate erosion rates to site attributes. Median winter erosion rates are approximately twice summer period rates, however mean summer rates are nearly twice winter rates because of infrequent high erosion caused by summer rainstorms. Regression equation models and regression tree models were constructed to explore relationships between erosion and factors that control erosion rates. Ground cover is the single factor that has the greatest influence on erosion rates during both summer and winter periods. Rainstorm intensity (erosivity index) strongly influences summer erosion rates, even on soils with high ground cover percentages. Few summer storms were of sufficient duration and intensity to cause rilling on the plots, and the data set was too small to elucidate differences in rill vs. interrill erosion. The regression tree models are relatively less biased than the regression equations developed, and explained 70 and 84 percent of the variability in summer and winter erosion rates, respectively.     

非饱和土边坡稳定的安全分析及进展

笔者基于基质吸力和土抗剪强度之间的关系和非饱和土力学理论 ,以基质吸力问题为中心 ,通过工程实例对影响非饱和土边坡滑动的各种内在及外界因素进行了参数分析 ,尤其对降雨入渗和裂隙影响的定量分析新进展进行了研究。研究结果表明 :非饱和土边坡稳定分析应加强考虑基质吸力对抗剪强度的折减影响 ,修正极限平衡方法对考虑降雨入渗 ,裂隙影响及暂态渗流的非饱和土边坡稳定性研究具有工程意义和实用价值。     

Bison and cattle grazing management,bare ground coverage,and links to suspended sediment concentrations in grassland streams

This study quantified the impact of bison and cattle grazing management practices on bare ground coverage at the watershed, riparian, and forested riparian scales within the Flint Hills ecoregion in Kansas. We tested for correlations between bare ground coverage and fluvial suspended sediment concentrations during base‐flow and storm‐flow events. We used remotely sensed imagery combined with field surveys to classify ground cover and quantify the presence of bare ground. Base‐flow water samples were collected bi‐monthly during rain‐free periods and 24 h following precipitation events. Storm‐flow water samples were collected on the rising limb of the hydrograph, using single‐stage automatic samplers. Ungrazed treatments contained the lowest coverage of bare ground at the watershed, riparian, and forested riparian scales. Bison treatments contained the highest coverage of bare ground at the watershed scale, while high‐density cattle treatments contained the highest coverage of bare ground at the riparian and forested riparian scales. In bison and cattle‐grazed treatments, a majority of bare ground was located near fence lines, watershed boundaries, and third‐ and fourth‐order stream segments. Inorganic sediment concentrations at base flow were best predicted by riparian bare ground coverage, while storm‐flow sediment concentrations were best predicted by watershed scale bare ground coverage.     

三峡库区典型土壤酸碱缓冲性能及其影响因素研究

受酸沉降和化肥施用等外源性酸输入的影响,三峡库区土壤面临着严重的酸化威胁。通过选取三峡库区两种典型土壤(紫色土和黄壤)作为研究对象,采用酸碱滴定法对土壤酸碱缓冲性能及其影响因素进行了研究。结果表明:在一定的p H范围内,紫色土(p H 6.5~2.5、6.2~11.5)和黄壤(p H 5.6~2.8、5.5~10.7)的p H变化与外源性酸、碱加入量均呈线性相关关系。通过分段拟合获取的缓冲容量结果显示,紫色土酸、碱缓冲容量分别为101.3、34.6 mmol/kg;而黄壤酸、碱缓冲容量分别为105.3、38.0 mmol/kg。黄壤和紫色土主要受碳酸钙与阳离子交换的缓冲作用;缓冲体系及初始p H、机械组成等土壤理化性质的不同是导致库区典型土壤酸碱缓冲容量差异的主要原因,总体表现为黄壤酸、碱缓冲性能略优于紫色土。此外,由于近年来酸沉降和氮肥用量的增加,使得库区土壤面临的酸化威胁呈上升趋势。该结果对库区土壤环境容量和典型土壤酸化潜势等研究具有参考价值,还可为区域外源性酸临界值评估以及应对策略制定提供理论依据。     

我国高速公路周边土壤重金属污染现状及研究进展

以我国高速公路周边土壤重金属为研究对象，综述了我国高速公路周边土壤重金属污染特征、影响因素、来源、环境风险及其研究进展。高速公路周边土壤主要受Pb、Cd、Cr、Cu、Zn等重金属污染，主要呈现指数分布、偏态分布和两者混合分布等特点，并且受到土地利用、风向、地形、车流量等多种因素的综合影响。土壤重金属的来源除了受成土母质等自然因素影响以外，公路交通和周边工农业活动也会对其来源产生较大影响。传统的土壤重金属评价方法主要采用单因子指数法、地累积指数法、生态风险评价法等对重金属的污染等级和环境风险进行评价。未来的研究应将重金属形态分析、空间和地统计分析、重金属稳定同位素示踪和源解析模型以及预测模型等多种手段相结合，开展高速公路周边土壤重金属的污染特征、时空分布、来源及预测预警研究等，为我国高速公路沿线工农业生产布局及其土壤重金属污染防控提供科学依据和决策支撑。     

铅冶炼区土壤重金属总量和有效态含量的函数分析

采集铅冶炼企业周边3 000 m范围内220个表层土壤样品,测定了有毒有害元素铅、镉、砷和汞的总量和有效态含量,探讨了它们之间的关系。结果表明:研究区土壤受到汞、砷、铅、镉的污染依次明显严重,土壤重金属的总量和有效态含量的变异系数均大于100%,土壤镉、铅、汞、砷的生物有效性系数平均值分别为25.9%、17.2%、0.58%、0.11%。土壤铅、镉和砷的总量与其有效态含量呈显著正相关(P0.001),而汞的总量与其有效态含量的相关性不显著(P0.05)。土壤铅和镉的总量和有效态含量可以用直线函数和幂函数表达,函数反推的有效态值和对应统计值的变异系数不大于10%。     

经口摄入土壤多溴联苯醚生物可给性变化及影响因素的体外消化模拟

误食土壤是污染物(如多溴联苯醚)人体(主要是儿童)暴露的重要途径,人体消化道内污染物吸收的生物可给性是针对此种暴露方式进行定量风险评估的有效途径之一.本研究采用体外消化实验模拟3种不同有机碳含量的天然土壤中典型多溴联苯醚(BDE-28、BDE-47、BDE-99和BDE-153)在胃和小肠消化液中的释放,验证部分消化释放的多溴联苯醚因消化残留固相表面的再吸附造成低估实际生物可给性,并通过不同水土比的拟合计算予以校正.结果表明,校正后的消化率普遍高于校正前;就不同土样而言,BDE-28、BDE-47、BDE-99和BDE-153在不同初始暴露浓度条件下平均提升比例范围分别为14.3%~42.3%、11.1%~32.1%、4.9%~12.3%和0.0%~7.7%.因此,未经校正的消化率会显著低估PBDEs消化道内的生物可给性,尤其是低溴代组分及PBDEs初始浓度较高或高TOC含量的土样.校正后BDE-28、BDE-47、BDE-99和BDE-153的消化率分别维持在21.9%~54.7%、18.8%~43.1%、13.4%~27.2%和9.3%~19.9%.此外,PBDEs的消化率与其辛醇-水分配系数的对数lg KOW呈显著负相关;而与土壤TOC含量及PBDEs初始暴露浓度的相关性并不显著,尤其是高溴代组分.     

模拟气候升温对湿地土壤微生物群落及磷素形态的影响

通过构建微宇宙湿地柱模拟气候升温的方法,采用高通量测序和核磁共振技术,分别研究了湿地土壤微生物群落和磷素形态对暖化作用的响应特征.结果表明,暖化作用导致了Firmicutes、Clostridia、Clostridiales、Clostridiaceae和Clostridium的相对丰度分别显著下降65%~98%、69%~87%、67%~87%、73%~97%和74%~93%,这表明暖化作用对不同分类水平上的物种Firmicutes到Clostridium具有显著的抑制效应.通过主坐标分析和聚类分析,不同湿地柱采样点的暖化组与对照组样本表现出显著的分离特征,揭示了暖化作用能够诱导微生物群落组成发生显著性变化.磷酸单酯和正磷酸盐是各湿地柱土壤主导的磷素形态,同时暖化作用导致了XX湿地柱采样点的磷酸单酯和正磷酸盐相对丰度分别显著升高275%和下降20%,JH湿地柱采样点的磷酸单酯和多聚磷酸盐相对丰度分别显著升高85%和下降49%,这表明不同磷素形态对暖化作用的响应具有土壤异质性特征.通过典型对应分析,揭示了暖化条件下微生物群落组成的显著变化对磷素形态具有显著的影响效应.     

微生物对汞矿区农田土壤汞甲基化的影响

为研究典型汞矿区农田土壤中汞的甲基化作用,实验以受汞污染的旱田土壤和稻田土壤为对象,分别进行灭菌,促进硫酸盐还原菌(SRB)活性处理,抑制SRB活性处理以及促进铁还原菌(FeRB)活性处理,分析非微生物作用和微生物作用对土壤甲基汞(MeHg)生成的影响.结果表明,促进SRB活性处理的土壤MeHg生成量最高,其中旱田土MeHg增量为0.15~0.38μg·kg~(-1),稻田土壤MeHg增量为1~2μg·kg~(-1);抑制SRB活性处理和促进FeRB活性处理的MeHg增量较小,最高值仅为0.025μg·kg~(-1).相比于旱田土壤,稻田土壤具有更高的汞甲基化能力,其MeHg生成量是旱田土壤的4~9倍.土壤SRB数量与MeHg生成量具有相同的变化趋势,二者具有显著的正相关性(R~2=0.57,P0.01).因此,该研究区土壤汞甲基化作用主要是微生物汞甲基化作用,且主要的汞甲基化细菌是SRB.此外,稻田是农田中MeHg生成的活跃地区,在评估和控制MeHg对人体健康危害时需要重点关注.