Water regime-nitrogen fertilizer incorporation interaction: Field study on methane and nitrous oxide emissions from a rice agroecosystem in Harbin, China

Water regime and nitrogen (N) fertilizer are two important factors impacting greenhouse gases (GHG) emission from paddy field, whereas their effects have not been well studied in cold region. In this study, we conducted a two-year field experiment to study the impacts of water regime and N fertilizer on rice yields and GHG emissions in Harbin, China, a cold region located in high latitudes. Our results showed that intermittent irrigation significantly decreased methane (CH₄) emission compared with continuous flooding, however, the decrement was far lower than the global average level. The N₂O emissions were very small when flooded but peaked at the beginning of the disappearance of floodwater. The N fertilizer treatments increased CH₄ emissions at low level (75kgN/ha). But both CH₄ and N₂O emissions were uninfluenced at the levels of 150kgN/ha and 225kgN/ha. Rice yields increased under intermittent irrigation and were highest at the level of 150kgN/ha. From our results, we recommended that the intermittent irrigation and 150kgN/ha as the ideal water regime-nitrogen fertilizer incorporation for this area to achieve low GHG emissions without impacting rice yields.     

A comparison of process performance during the anaerobic mono- and co-digestion of slaughterhouse waste through different operational modes

The use of consecutive feeding was applied to investigate the response of the microbial biomass to a second addition of substrates in terms of biodegradation using batch tests as a promising alternative to predict the behavior of the process. Anaerobic digestion (AD) of the slaughterhouse waste (SB) and its co-digestion with manure (M), various crops (VC), and municipal solid waste were evaluated. The results were then correlated to previous findings obtained by the authors for similar mixtures in batch and semi-continuous operation modes. AD of the SB failed showing total inhibition after a second feeding. Co-digestion of the SB + M showed a significant improvement for all of the response variables investigated after the second feeding, while co-digestion of the SB + VC resulted in a decline in all of these response variables. Similar patterns were previously detected, during both the batch and the semi-continuous modes.     

阿哈水库DOM的分离及其对消毒副产物的贡献

为研究高原喀斯特湖库DOM（dissolved organic matter,溶解性有机质）的组成及其化学特征对DBPs（disinfection by-products,消毒副产物）生成路径的影响,以西南喀斯特地区贵阳市阿哈水库的DOM为研究对象,结合XAD大孔树脂分离技术,通过化学表征〔包括UV-Vis（紫外-可见光光谱）、FTIR（红外光谱）和3D-EEM（三维荧光光谱）〕手段来研究各组分对C-DBPs（含碳消毒副产物）和N-DBPs（含氮消毒副产物）的生成贡献.不同组分芳香性的大小依次为HON（憎水中性物）> HIB（亲水碱）> HOA（憎水酸）> HIN（亲水中性物）≈HIA（亲水酸）> HOB（憎水碱）.憎水与亲水DOM的DBPs生成潜能相近.其中,HON最高,其次为HIB和HOA.HIB和HOA的主要卤代反应位分别来源于藻类有机物的蛋白质和富里酸,而HON的DBPs生成潜能的贡献主要为分子中的芳香和共轭不饱和结构.HIA和HIN的构成主要为脂肪烃,贡献较低的DBPs的生成潜能.对于C-DBPs,THMs和HAAs的生成潜能总体相近,不同组分的差异明显.对于N-DBPs,卤乙腈的生成潜能占80%以上,憎水DOM的贡献较高.DBPs的生成路径从UV-Vis、FTIR和3D-EEM的官能团和特征峰解析结果中均得到了较好的响应.      

氧化还原电位对土壤中重金属环境行为的影响研究进展

E_h（redox potential,氧化还原电位）代表土壤氧化性和还原性的相对程度,是以电位反映土壤所处氧化还原状态的指标.由于重金属易与对E_h敏感的组分发生吸附、络合、沉淀等化学反应,因此E_h的变化会直接/间接影响重金属形态从而决定其毒性和活性.E_h变化对重金属活性往往存在双向影响:①淹水环境使E_h降低,引发反硝化反应、铁锰氧化物和硫酸盐还原,使pH向中性靠拢,从而间接导致酸性土壤中游离态重金属沉淀或碱性土壤中吸附态重金属释放.②厌氧条件在使E_h发生变化的同时,会引起铁锰氧化物、有机质、硫化物的形态或含量发生改变,如铁锰氧化物还原、大分子有机质分解,分解产物与重金属离子结合增加了可溶性重金属的浓度,但厌氧条件也可以使重金属离子和硫化物产生沉淀,且还原Cr、Hg等元素,降低毒性;在氧化条件下,硫化物氧化形成硫酸盐促进了重金属释放;但铁锰离子沉淀及其氧化物形态变化形成的具有强吸附力的无定形铁锰氧化物可重新吸附游离态金属离子.这些复杂的化学变化对定量化研究E_h对重金属的影响造成困难,从而降低了E_h波动环境（水稻土、周期性覆水潮滩沉积物等）中重金属污染风险评价的准确性,也限制了通过改变E_h来原位修复重金属污染土壤的方法实施.因此,需进一步对E_h诱导下土壤颗粒界面上发生的与重金属行为相关的反应进行深入研究,并开发检测分析技术,如无损伤的物理探测方法或同位素稀释技术等,建立不同土壤中E_h与重金属形态、活性的定量关系,以揭示E_h对重金属形态的影响机制.      

江西兴国县农田土壤固碳潜力20a变化研究

通过GIS技术,采集38个农田土壤样品,研究了江西兴国县农田土壤有机碳变化量的空间分布特征.结果表明,20a来,兴国县农田土壤中土壤有机碳增加的面积为621.3km2,减少的面积为38.4km2,增幅主要在0~5g/kg和5~10g/kg;千枚岩、花岗岩、红砂岩、第四纪红粘土和紫色砂页岩发育的土壤中有机碳变化量分布的面积分别为361.7km2、144.7km2、76.5km2、48.7km2和18.0km2,海拔在300m以下、300~500m、500~800m和800m以上的土壤中有机碳变化量分布的面积分别为358.9km2、200.2km2、62.9km2、28.0km2.多元回归分析显示,20a来土壤有机碳变化量和初始含量呈负相关关系,土壤有机碳变化量和海拔、粘粒含量呈正相关关系.图1表2参15     

Accounting for large-scale factors in the study of understory vegetation using a conditional logistic model

Local-scale and large-scale factors can affect the presence of a species of understory vegetation in the forest. Local-scale factors may be the influence of surrounding trees, while climate and latitude are typically considered large-scale factors. A model for the presence of a species needs to take into account both scales. A conditional logistic model is proposed for those studies where only the local-scale factors are of interest and that avoids estimating the large-scale parameters. Conditioning is carried out by the number of quadrats in the plot where the vegetation is found. As the latter is a sufficient statistic for the large-scale factors, a model free from these parameters is obtained. Data gathered in the permanent sample plots of the 1985–1986 National Forest Inventory of Finland is used for illustration, where the local-scale factor of interest is the influence of the trees, quantified by an index based on the size and location of the trees. The model fitted to Vaccinium vitis-idaea showed a significant and positive influence of Scots pine on the presence of this species, while for Calamagrostis arundinacea, a decrease in the odds ratio was observed due to the influence of Norway spruce.     

湘北红壤丘岗区农业可持续发展问题探讨

从自然资源条件、农业基础设施、后备资源潜力、科技储备等方面剖析湘北红壤丘岗区农业发展的优势；同时阐明了阻碍该区农业可持续发展的主要因素，即土壤肥力普遍偏低、季节性干旱严重、农业生态系统脆弱、资源利用不合理、开发与利用资源的资金短缺、体制缺陷和思想观念陈旧等。提出了10条促进该区农业持续高效发展的技术途径和措施，即：(1)推广农村实用新技术，迅速提高土地生产力；(2)充分发挥“土壤水库”和工程水库的作用，抗御季节性干旱；(3)协调水土矛盾，建立丘岗开发的资源互利型利用模式；(4)全而开展生态农业建设，改善农村生态环境；(5)大力调整农业结构，尽快形成新的主导产业或生产项目；(6)壮大村级集体经济，充分发挥它在现代农业建设中的杠杆作用；(7)以市场为导向，建立农产品商品生产基地，加快农业产业化进程；(8)增强科技投入，充分发挥科技进步的推动作用；(9)建立完善的投资管理和激励机制，提高广大农民参与农业综合开发的积极性；(10)强化农业先进技术的培训和推广，提高农民科技素质。     

Integration of Flow and Chemical Sensing for Guidance of Autonomous Marine Robots in Turbulent Flows

We explored the utility of odor-gated rheotaxis (OGR) with a biomimetic robot. OGR is a widely accepted biological plume-tracing strategy that uses mean flow and chemical detection for guidance. In experiments which contrasted the `classic' single-sensor formulation of the strategy against one which used two sensors and against another which combined the use of two sensors and memory of past stimulation patterns we quantified the relative advantages of each. The use of two, spatially separated, chemical sensors confers a significant advantage and still greater performance is obtained with rudimentary memory. The performance of the American lobster under the same turbulent dispersal regime leads us to conclude that significantly more effective plume tracing strategies remain to be discovered.     

Filament-Based Atmospheric Dispersion Model to Achieve Short Time-Scale Structure of Odor Plumes

This article presents the theoretical motivation, implementation approach, and example validation results for a computationally efficient plume simulation model, designed to replicate both the short-term time signature and long-term exposure statistics of a chemical plume evolving in a turbulent flow. Within the resulting plume, the odor concentration is intermittent with rapidly changing spatial gradient. The model includes a wind field defined over the region of interest that is continuous, but which varies with location and time in both magnitude and direction. The plume shape takes a time varying sinuous form that is determined by the integrated effect of the wind field. Simulated and field data are compared. The motivation for the development of such a simulation model was the desire to evaluate various strategies for tracing odor plumes to their source, under identical conditions. The performance of such strategies depends in part on the instantaneous response of target receptors; therefore, the sequence of events is of considerable consequence and individual exemplar plume realizations are required. Due to the high number of required simulations, computational efficiency was critically important.