影响土壤中钴活性的因素

用大样本统计分析上土壤性质对钴活性的影响及研究改变土壤ｐＨ值，有机质和氧化还原状况对钴活性的影响。结果表明，在其它土壤性质不变情况下，全钴提高，活性钴的数量增加，锰氧化物的作用则相反，在酸性及还原土壤中，土壤ｐＨ值，浸提剂ｐＨ值对钴的提取量有极显的影响；在中性和碱性并处于氧化状态的土壤中，影响不显，增加土壤有机质可以提高活性钴的数量。     

土壤理化特性对稻田CH4排放的影响

为了研究土壤理化特性对稻田CH4 排放的影响 ,室外盆栽试验于 2 0 0 0年水稻生长季在南京农业大学实施 ,1 8个供试水稻土分别取自江苏宜兴、江宁、六合、仪征及宝应等地 .所有供试土壤的季节性CH4 平均排放通量为 6 42± 2 70mg·(m2 ·h) - 1,最低和最高值分别为 1 96mg·(m2 ·h) - 1和 1 1 0 6mg·(m2 ·h) - 1,两者相差约 5 6倍 .单相关分析结果表明 :影响CH4 排放的主要土壤参数为质地、氮素状况及铜含量 .CH4 排放与土壤砂粒含量呈正相关 (r =0 5 2 8,p =0 0 2 4) ,与粘粒含量呈负相关 (r =-0 484,p =0 0 42 ) .氮素含量高的土壤CH4 排放较低 ,CH4 排放与土壤全氮、速效氮和铵态氮含量的线性相关系数分别为 -0 449(p =0 0 62 )、-0 61 1 (p =0 0 0 7)和 -0 649(p =0 0 0 4) .土壤铜含量直接影响CH4 的排放 ,CH4 排放与有效态铜和全铜含量的线性相关系数分别为 -0 5 94(p =0 0 0 9)和 -0 5 47(p =0 0 1 9) .本研究并未观测到CH4 排放与土壤有机碳含量有相关关系 ,这与前人报道的实验室培养测定结果及稻田CH4 排放随土壤有机质含量提高而增加的假设完全不同 .逐步回归分析表明 ,不同土壤间CH4 排放的变异性有 75 5 %可由土壤有效态铜含量、镁 (全量 )含量及有效铁含量与全量铁之     

土壤中裂隙与其它类型孔隙结构差异的图像比较

裂隙是孔隙的一类。文章利用土壤切片的数字图像,采用目视分离的方法,比较研究了裂隙与其它类型的孔隙在结构上的差异、选择的土样研究结果表明,目视分离裂隙的方法是可行的,土体中的裂隙直径分布曲线是不规则的,而其它类型的孔隙直径分布曲线则类似对数正态分布;土壤总孔隙中直径较大的部分主要由裂隙构成,直径较小的部分则由其它类型孔隙和裂隙共同构成;土壤表面裂隙与土体内部裂隙在结构上可能具有一定差异。     

南方高产茶园土壤养分特性

本文对南方高产获园土壤养分特性进行研究．结果表明，高产茶园土壤表层碱解Ｎ１００．３ｍｇ／ｋｇ、全Ｎ１．３８ｇ／ｋｇ．有机质３１．０ｇ／ｋｇ，均按丰富；茶叶产量与上壤碱解Ｎ呈显著正相关．由于重施磷肥，磷素在土壤中趋于积累．土壤表层全磷含量比相应的荒地土壤平均高０．４７ｇ／ｋｇ．由于少施钾肥．老茶园土壤比荒地土壤全钾含量明显下降，下降率最高达３０．２５％，平均达２５．６０％．高产茶园土壤具有独特的熟化层（２０－４０ｃｍ）．红壤茶园土壤肥力最高，赤红壤和砖红壤茶园相近．根据研究结果，建议采用‘控氮、降磷、增钾”的施肥原则．     

Heavy metals in soils and crops in Southeast Asia

In a reconnaissance soil geochemical and plant survey undertaken to study the heavy metal uptake by major food crops in Malaysia, 241 soils were analysed for cation exchange capacity (CEC), organic carbon (C), pH, electrical conductivity (EC) and available phosphorus (P) using appropriate procedures. These soils were also analysed for arsenic (As), cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb) and zinc (Zn) using aqua regia digestion, together with 180 plant samples using nitric acid digestion. Regression analysis between the edible plant part and aqua regia soluble soil As, Cd, Cr, Cu, Hg, Ni, Pb and Zn concentrations sampled throughout Peninsular Malaysia, indicated a positive relationship for Pb in all the plants sampled in the survey (R ² = 0.195, p < 0.001), for Ni in corn (R ² = 0.649, p < 0.005), for Cu in chilli (R ² = 0.344, p < 0.010) and for Zn in chilli (R ² = 0.501, p < 0.001). Principal component analysis of the soil data suggested that concentrations of Co, Ni, Pb and Zn were strongly correlated with concentrations of Al and Fe, which is suggestive of evidence of background variations due to changes in soil mineralogy. Thus the evidence for widespread contamination of soils by these elements through agricultural activities is not strong. Chromium was correlated with soil pH and EC, Na, S, and Ca while Hg was not correlated with any of these components, suggesting diffuse pollution by aerial deposition. However As, Cd, Cu were strongly associated with organic matter and available and aqua regia soluble soil P, which we attribute to inputs in agricultural fertilisers and soil organic amendments (e.g. manures, composts).     

广东红壤类土壤结构特征及其影响因素

探讨了广东红壤的结构特征及其影响因素。研究结果表明,红壤类土壤具有较好的团聚性、较高的水稳性,但孔隙性较差。土壤结构受土壤颗粒组成、有机质含量和利用方式的影响。红壤开垦后,土壤团聚性受到破坏,但孔隙性有所改善。为改善红壤的土壤结构,应该增加土壤的有机质含量。     

pH dependence of copper adsorption in vineyard soils of Geneva

Copper adsorption by vineyard soils of the Geneva canton was evaluated by batch equilibration experiments in a pH range from 4 to 6. The adsorption curves fit significantly to Freundlich function log q = n log C + log K_f, where q is adsorbed Cu concentration on the solid phase and C is solution Cu concentration at the end of the equilibration time. Moreover, we found that Freundlich parameters n and log K_f are moderately correlated to pH, yielding the following equations: log K_f = 0.23 pH + 0.51 (R ² 0.59) and n = –0.12 pH + 1.06 (R ² 0.59). Such equations may be useful to predict Cu mobility for risk assessment studies.     

Contaminant source apportionment by PIMMS lead isotope analysis and SEM-image analysis

By combining scanning electron microscopy (SEM) image analysis and laser ablation plasma ionisation multi-collector mass spectrometry (LA-PIMMS), high precision lead isotope analyses can be obtained from individual metal-rich particles. Soils from Wolverhampton and Nottingham were sampled on the basis of high Pb concentrations or brownfield location. Pressed powder pellets of each were rastered by LA-PIMMS to obtain a bulk Pb-isotope signature. The results plot along an apparent mixing line between the major sources of lead contamination in the UK, that is UK ore deposits and alkyl-lead from petrol additives (Australian ore). Two particularly lead-rich soils were chosen to investigate the lead distribution and isotope variability between size and density fractions. The fine-grained and low-density fractions contained most of the lead and have Pb-isotope ratios comparable with the bulk soils. By contrast, the small, lead-enriched denser fractions contained only a minor proportion of the total lead but Pb-isotope signatures indicating relative enrichment in one or other of the end-members from the mixing line. Further characterisation of individual Pb-rich grains is in progress.     

Estimating the area affected by phosphorus runoff in an Everglades wetland: a comparison of universal kriging and Bayesian kriging

Phosphorus-enriched agriculture runoff is believed to be the leading cause of ecosystem changes of Everglades wetlands. To study this effect, it is necessary to estimate the area of the affected region. In this study, Bayesian kriging and universal kriging were used to estimate the area by analysing the data collected by Reddy et al. (1991). The background level of the soil's total phosphorus concentration is usedto determine whether the region is affected by the agriculture runoff, through an indicator function. The area of the affected region was represented by the integration of the indicator function over the entire wetland. The expected value of the affected area was calculated using the results derived from Bayesian and universal kriging. The outcome indicates that universal kriging is sensitive to specification of thecovariance model. It was observed that universal kriging and Bayesian kriging yield comparable results, if the specified covariance structures are of similar nature.     

Elevated Levels of Cadmium and Zinc in Paddy Soils and Elevated Levels of Cadmium in Rice Grain Downstream of a Zinc Mineralized Area in Thailand: Implications for Public Health

Prolonged consumption of rice containing elevated cadmium (Cd) levels is a significant health issue particularly in subsistence communities that are dependent on rice produced on-farm. This situation is further exacerbated in areas of known non-ferrous mineralization adjacent to rice-based agricultural systems where the opportunity for contamination of rice and its eventual entry into the food chain is high. In the current study, an assessment of the degree of soil Cd and Zn contamination and associated rice grain Cd contamination downstream of an actively mined zone of Zn mineralization in western Thailand was undertaken. Total soil Cd and Zn concentrations in the rice-based agricultural system investigated ranged from 0.5 to 284 mg kg⁻¹ and 100 to 8036 mg kg⁻¹, respectively. Further, the results indicate that the contamination is associated with suspended sediment transported to fields via the irrigation supply. Consequently, the spatial distribution of Cd and Zn is directly related to a field’s proximity to primary outlets from in-field irrigation channels and inter-field irrigation flows with 60–100% of the Cd and Zn loading associated with the first three fields in irrigation sequence. Rice grain Cd concentrations in the 524 fields sampled, ranged from 0.05 to 7.7 mg kg⁻¹. Over 90% of the rice grain samples collected contained Cd at concentrations exceeding the Codex Committee on Food Additives and Contaminants (CCFAC) draft Maximum Permissible Level for rice grain of 0.2 mg Cd kg⁻¹. In addition, as a function of demographic group, estimated Weekly Intake (WI) values ranged from 20 to 82 μg Cd per kg Body. This poses a significant public health risk to local communities. The results of this study suggest that an irrigation sequence-based field classification technique in combination with strategic soil and rice grain sampling and the estimation of WI values via rice intake alone may be a useful decision support tool to rapidly evaluate potential public health risks in irrigated rice-based agricultural systems receiving Cd contaminated irrigation water. In addition, the proposed technique will facilitate the cost effective strategic targeting of detailed epidemiological studies thus focusing resources to specific ‘high risk’ areas.