Assessing the potential for greenhouse gas mitigation in intensively managed annual cropping systems at the regional scale

We predicted changes in yields and direct net soil greenhouse gas (GHG) fluxes from converting conventional to alternative management practices across one of the world's most productive agricultural regions, the Central Valley of California, using the DAYCENT model. Alternative practices included conservation tillage, winter cover cropping, manure application, a 25% reduction in N fertilizer input and combinations of these. Alternative practices were evaluated for all unique combinations of crop rotation, climate, and soil types for the period 1997-2006. The crops included were alfalfa, corn, cotton, melon, safflower, sunflower, tomato, and wheat. Our predictions indicate that, adopting alternative management practices would decrease yields up to 5%. Changes in modeled SOC and net soil GHG fluxes corresponded to values reported in the literature. Average potential reductions of net soil GHG fluxes with alternative practices ranged from −0.7 to −3.3 Mg CO₂-eq ha⁻¹ yr⁻¹ in the Sacramento Valley and −0.5 to −2.5 Mg CO₂-eq ha⁻¹ yr⁻¹ for the San Joaquin Valley. While adopting a single alternative practice led to modest net soil GHG flux reductions (on average −1 Mg CO₂-eq ha⁻¹ yr⁻¹), combining two or more of these practices led to greater decreases in net soil GHG fluxes of up to −3 Mg CO₂-eq ha⁻¹ yr⁻¹. At the regional scale, the combination of winter cover cropping with manure application was particularly efficient in reducing GHG emissions. However, GHG mitigation potentials were mostly non-permanent because 60-80% of the decreases in net soil GHG fluxes were attributed to increases in SOC, except for the reduced fertilizer input practice, where reductions were mainly attributed to decreased N₂O emissions. In conclusion, there are long-term GHG mitigation potentials within agriculture, but spatial and temporal aggregation will be necessary to reduce uncertainties around GHG emission reductions and the delivery risk of the associated C credits.     

基于CFD的内构件强化内循环流化床流场结构分析

针对流化床内部流体结构的复杂性和缺乏有效放大设计理论的问题,以漏斗型导流内构件强化的内循环流化床的气液运动为研究对象,利用欧拉-欧拉双流体模型构建了能描述其复杂流动的CFD数学模型,通过宏观流场、气含率分布、液体速度分布解析内构件对气液混合传质的作用原理.数值模拟结果表明:双流体模型能较好地揭示流化床内气液流场结构,流...     

城镇污水处理排放标准改革的费效分析

从费用效果角度对提高城镇污水处理排放标准的科学性和可实施性进行探讨,利用污染源普查数据,通过城镇污水治理投资和运行函数的构建,计算不同处理规模和排放标准下的污水处理投资和运行费用,在全国层面上计算提高污水处理排放标准所需费用和污染物的减排效果.研究表明：污水处理厂的投资和运行费用的增加随着污水处理规模的增加而递减.以污...     

含信号控制人行横道的街道峡谷污染物扩散三维数值模拟

耦合微观交通仿真和机动车尾气排放模型,分别对含信号控制人行横道和不含信号控制人行横道的街道峡谷污染物排放进行计算,并以此为排放源,采用k-ε两方程模型与组分输运方程对风向与街道垂直时的污染扩散情况进行了三维数值模拟.结果表明,k-ε两方程模型与组分输运方程可以较好地模拟风向与街道垂直时三维街道峡谷内的污染物扩散情况.峡...     

水泥窑协同处置POPs污染土壤对环境的影响研究

 分析了水泥窑协同处置POPs污染土壤对烟气中污染物排放和熟料品质的影响,结果表明,SO2、NOx、HCl、Hg、As、Ni、Pb、粉尘、二 的排放量均低于工业大气污染物排放规定限制,与空白试验相比,水泥窑协同处置污染土壤过程中烟气中特征污染物排放量没有显著增加.水泥熟料化学成分满足相关规定,熟料产品质量达到相关标准,因此利用水泥窑协同处置POPs污染土壤是一种环境友好处理方式.     

低温A/O-MBR工艺启动试验研究

研究了A/O-MBR工艺低温(水温在5~12℃)启动效能,结果表明,低温下A/O-MBR工艺启动迅速,活性污泥的培养驯化时间较短。启动过程中根据出水水质情况,逐渐提高负荷,运行34 d,系统对COD的去除率能达到90%以上,系统对氨氮的去除率能达到96%以上,至稳定运行后氨氮的负荷平均可达到0.419kg/(m3.d),反硝化效果系统去除率基本能稳定在60%左右。     

垃圾渗滤液的膜生物反应器与传统生物工艺述评

采用文献调研法比较评价了膜生物反应器与传统生物工艺对垃圾渗滤液的处理效果。结果表明,渗滤液的水质特征(主要指COD)主要由渗滤液年龄决定,B/C值和渗滤液年龄对COD去除有重要影响。传统生物处理常采用多级组合工艺,渗滤液特性、工艺单元数、水力停留时间和有机负荷率等是影响COD去除的重要参数。近年来,MBR工艺的应用日益广泛,对于B/C值较低的老龄渗滤液,MBR工艺可获得更好的COD去除效果,也有利于废水的膜深度处理。     

己内酰胺生产废水的铁碳微电解深度处理与机理研究

采用铁碳微电解方法对己内酰胺生产废水进行深度处理,探讨了pH值、停留时间、铁碳质量比对处理效果的影响。在pH为4、停留时间为120 min、铁碳质量比为4的最佳处理条件下,COD去除率可达57.8%,色度去除率可达68.4%。微电解对己内酰胺废水的作用主要通过铁的絮凝作用,处理过程中的酸性条件、微电解的氧化还原和电场作用,从而提高其去除效率。     

四川某中小城镇污水处理厂进水水质统计分析

生活污水水质对处理工艺的选择、设计参数的选取以及稳定运行十分重要。运用SPSS软件,对四川某中小城镇污水处理厂为期一年的进水指标(水量、COD、氨氮、总磷、pH、SS)进行方差和相关性分析。方差分析结果显示进水量、氨氮和SS在月份和季节之间存在显著性差异,而总磷和pH仅在月份之间存在显著差异,COD在季度和月份之间无显著性差异;指标相关性分析表明,进水量和氨氮之间呈负相关,氨氮和总磷、COD和总磷之间呈正相关,且相关性显著。在此分析的基础上对污水处理厂设计、工艺选择及运行管理提出了一些建议。     

TiO2 nanotubes as solid-phase extraction adsorbent for the determination of polycyclic aromatic hydrocarbons in environmental water samples

An analytical method based on TiO2 nanotubes solid-phase extraction (SPE) combined with gas chromatography (GC) was established for the analysis of seven polycyclic aromatic hydrocarbons (PAHs): acenaphtylene, acenaphthene, anthracene, fluorene, phenanthrene, fluoranthene and pyrene. Factors a ecting the extraction e ciency including the eluent type and its volume, adsorbent amount, sample volume, sample pH and sample flow rate were optimized. The characteristic data of analytical performance were determined to investigate the sensitivity and precision of the method. Under the optimized extraction conditions, the method showed good linearity in the range of 0.01–0.8 g/mL, repeatability of the extraction (RSD were between 6.7% and 13.5%, n = 5) and satisfactory detection limits (0.017–0.059 ng/mL). The developed method was successfully applied to the analysis of surface water (tap, river and dam) samples. The recoveries of PAHs spiked in environmental water samples ranged from 90% to 100%. All the results indicated the potential application of titanate nanotubes as solid-phase extraction adsorbents to pre-treat water samples.