QUANTIFICATION OF THE WATER BUDGET AND NUTRIENT LOADING IN A SMALL PEATLAND1

ABSTRACT: Few water budgets exist for specific types of wetlands such as peatlands, even though such information provides the basis from which to investigate linkages between wetlands and upland ecosystems. In this study, we first determined the water budget and then estimated nutrient loading from an upland farm field into a 1.5 ha, kettle-block peatland. The wetland contains highly anisotropic peat and has no distinct, active layer of groundwater flow. We estimated the depth of the active layer using Fick's law of diffusion and quantified groundwater flow using a chemical mass balance model. Evapotranspiration was determined using MORECS, a semi-physical model based on the Penman-Monteith approach. Precipitation and surface outflow were measured using physical means. Groundwater provided the major inflow, 84 percent (44,418 m³) in 1993 and 88 percent (68,311 m³) in 1994. Surface outflow represented 54 percent (28,763 m³) of total outflows in 1993 and 48 percent (37,078 m³) in 1994. A comparison of several published water budgets for wetlands and lakes showed that error estimates for hydrologic components in this study are well within the range of error estimates calculated in other studies. Groundwater inflow estimates and nutrient concentrations of three springs were used to estimate agricultural nutrient loading to the site. During the study period, nutrient loading into the peatland via groundwater discharge averaged 24.74 kg K ha^-1, 1.83 kg total inorganic P ha^d, and 21.81 kg NO₃-N ha^-1.     

A method for estimating distributions of mass transfer rate coefficients with application to purging and batch experiments

Mass transfer between aquifer material and groundwater is often modeled as first-order rate-limited sorption or diffusive exchange between mobile zones and immobile zones with idealized geometries. Recent improvements in experimental techniques and advances in our understanding of pore-scale heterogeneity demonstrate that two (or even a few) rate coefficients are insufficient in many cases. Here, we investigate a piece-wise linear model for a continuous distribution of rate coefficients, that has several advantages over previously used ‘statistical' distribution models (with functional form from gamma or lognormal PDF's): (1) distributions of arbitrary, even bimodal, shapes can be represented; (2) linear estimation methods can be applied to determine the distribution from experimental data; (3) the uncertainty in the distribution can be determined for each of its sections; and (4) the relationship between the time scales of available data and those of estimatable mass transfer processes can be investigated. A statistical model refinement algorithm is presented that reduces the number of parameters (sections of the piece-wise linear model) to the admissible minimum. We show that purging experiments allow estimation of a wider zone of the rate distribution than do batch experiments, and hence will provide predictions that are accurate over a wider range of time scales. Finally, in an application to TCE gas-purging desorption data, the piece-wise linear rate-distribution model has a higher probability of being adequate than those using a gamma or lognormal distribution or a single rate coefficient.     

工业锅炉仿真系统节能模块设计及实现

仿真系统已成为工业锅炉操作人员培训的重要手段之一,在工业锅炉仿真系统中加入节能模块,能有效增强经济运行指导和提高操作人员节能意识。本文利用仿真开发平台SimuWorks构建工业锅炉仿真系统节能模块,通过锅炉正反平衡热效率公式分析及简化,给出了飞灰含碳量的直接计算方法,结合各模块计算数据,可以获得完整的运行经济指标。     

SWAT模型融雪模块的改进与应用研究

融雪是水文过程的重要影响因素,为了对天山北坡气候极端高寒地区进行长期洪水预报预警,该研究以SWAT （土壤和水评估工具）模型为基本框架对其融雪模块进行修改,将基于物理过程的分布式融雪径流模型耦合入SWAT模型,并基于高程带对改进前后的模型进行了对比验证。通过对新疆天山北坡军塘湖河流域进行模拟、参数率定与验证后发现,原SWAT 模型在参数率定期间（2000 年1 月1 日至2004 年12 月31 日）的Nash-Stucliffe 效率系数（NSE）略低于基于物理过程的模型SWAT-JTH,但在验证期（2006 年1 月1 日至2010 年12 月31 日）,SWAT原模型NSE高于改进后的SWAT-JTH 模型。两种方法模拟效果均可以满足实际融雪模拟精度的需求。研究发现,温度因子方法（SWAT融雪模块）虽较基于物理过程的模型结构更简单,但在合理率定参数后却可以得到较好的效果。虽然现今观测和实验手段还不能满足物理过程模型精度要求,以及物理模型本身的错误叠加现象对目前的研究带来了诸多不确定性,但由于物理模型对于极端条件下的模拟及物理过程的模拟具有很大优势,未来随数据精度的提高,将继续深入该物理模型的改进研究。该研究将对高寒山区分布式融雪径流预报预警的发展起到一定的促进作用。     

典型医药活性物质在污水处理厂中的归趋及其风险评估

采用固相萃取、高效液相色谱/串联质谱法 (污泥样品先采用超声波萃取预处理方法提取) 检测分析了包括磺胺类、喹诺酮类、大环类酯类抗生素、心血管类、止痛剂类等8类医药活性物质在重庆某污水厂中的含量水平及其行为归趋.采用 EC/PNEC 综合评价体系评估环境中目标医药活性物质的生态风险,利用质量平衡分析的方法分析了其在水相及污泥相中的分布.结果表明,目标物质在水相中均可检出,其检出浓度在ng/L~μg/L,在污泥样品中可检测出18种目标物质,其浓度在ng/g (干重,下同).仅仅1.1%的目标物质被污泥吸附去除.污水处理厂初级处理及氯化消毒阶段对目标物质无明显去除效果,目标物质的去除主要发生在生物处理阶段,生物的降解或转化作用是目标物质的主要去除机制.EC/PNEC分析表明,磺胺嘧啶、磺胺甲恶唑、氧氟沙星与脱水红霉素在污水处理厂出水及其污泥中综合评价因子均大于1,它们的存在可能对环境产生不同程度的危害.本研究结果表明,污水处理厂并不能完全去除水相中微量的医药物质,为防止排放导致的潜在生态风险,出水及污泥中活性医药物质需采取措施进行进一步的处理.     

堆积状态下低品质煤临界自燃着火点测定与研究

为了研究低品质煤炭堆积状态下内部自热理论,采用临界自燃着火点理论和Frank-Kamenetskii 模型研究了煤堆内部热产生与热散失平衡理论以及煤堆表面的换热现象;并应用设计研发的煤堆热扩散率及温度监测实验装置和测定方法来评估低品质煤样（褐煤以及亚烟煤）临界自燃温度。结果表明:煤样堆积状态下临界自燃着火点温度可通过实验室内测定分析不同体积网框在不同环境温度条件下自热曲线得出;同体积条件下,临界自燃着火点随着煤品质的升高而增加;在140 ℃ 环境条件下,1#,2# 和3# 煤样在快速升温的前20 min内,温度变化趋势相似;在60~65 ℃,3种煤样出现温度转折点,升温速率开始减缓;根据煤样临界自燃着火点温度结合F-K热发火边界条件理论得出的堆积体积与着火点耦合关系式可预测大体积煤样自燃倾向性及临界自燃温度。     

基于种养平衡的杭州市畜禽养殖环境承载力研究

种养结合循环利用是生态化、资源化解决畜禽规模养殖粪污排放问题的根本途径。论文以土壤有效氮、磷含量预测土壤供肥能力,结合种植和养殖业年度统计数据,利用修正的养分平衡法估算杭州市畜禽养殖环境承载力,并分析杭州市各县市畜禽养殖污染风险。结果表明：2014年杭州市畜禽养殖环境承载力以氮、磷计分别为18.20和 18.29头猪当量/hm²,实际承载量分别为13.26和12.70头猪当量/hm²,污染风险指数分别为0.73和0.69,说明杭州市整体处于畜禽养殖低污染风险状态,但各县市的污染负荷差异显著,市区等4个县市属于过量承载,存在较高的污染风险,富阳等4个县市仍有一定的承载潜力。研究结果可为杭州市种养业平衡整体规模配置、布局调整和粪污消纳等决策提供科学依据。     

三维荧光光谱解析城市污水有机物的去除特征

利用荧光区域积分结合物料平衡计算及多元直接梯度分析,考察强化除磷-硫自养系统对低COD/TN比市政污水中有机物、氮和磷污染物的去除特性.结果表明,在进水COD/TN比为4.5～6.0的条件下,强化除磷-硫自养系统出水中的TN、NH₄⁺-N和TP浓度分别降至1.31、1.11和0.23mg/L,其去除率分别达到了96.3%、96.0%和86.9%.强化除磷-硫自养系统对荧光区域Ⅰ～Ⅴ标准积分体积的去除率分别为73.7%、64.3%、50.6%、61.3%和28.1%.物料平衡计算表明,非曝气区对荧光区域Ⅰ、Ⅱ和Ⅳ的物质有明显的去除效果;好氧区对荧光区域Ⅰ、Ⅱ和Ⅲ的物质有明显的去除效果.多元直接梯度分析表明,磷的释放过程可能与溶解性微生物代谢产物荧光区中的有机物相关,而自养的硝化反应、吸磷过程和有机物的去除可在好氧区达到统一.     

用于水中多环芳烃被动采样的聚合物厚度和材料的选择：哪个更有力地影响采样器性能？

本文使用3种单相聚合物制作用于多环芳烃被动采样的装置,这3种聚合物分别为聚甲醛(POM)、硅橡胶(SR)和聚乙烯(PE),通过室内试验测定了它们的分配系数和POM的扩散系数以及验证了动态积累模型。此外,在野外现场对每种装置的性能进行了评估。基于已开发模型的支持,讨论了使用不同材料和聚合物厚度的装置性能。结果表明,采样器性能,比如浓度平均周期的长短和多环芳烃的采集容量,都广受所选材料的影响。采样器的厚度也会对装置的性能造成影响,但程度很小。选择合适的聚合物和/或厚度可以使采样器更有适用于快速平衡或动态积累,以及促进膜或水边界层对动态积累的控制。此外,利用膜技术控制或平衡的化合物能够更精确的被量化,因为它们不需要利用参比法(PRC)来校正。然而,当富集浓度达到平衡后,采样器中的平均浓度就不能准备测量化合物浓度,而由膜控制的采样装置通过动态累积的方式能够提供不需要PRC校正的平均浓度;随着膜传质阻力的提高,采样器的检测限也得到提高。
精选自Angel Belles, Claire Alary, Yannick Mamindy-Pajany.Thickness and material selection of polymeric passive samplers for polycyclic aromatic hydrocarbons in water: which more strongly affects sampler properties?. Environmental Toxicology and Chemistry: Volume 35, Issue 7, pages 1708–1717, July 2016. DOI: 10.1002/etc.3326
详情请见http://onlinelibrary.wiley.com/doi/10.1002/etc.3326/full
     

Removal of arsenic by pilot-scale vertical flow constructed wetland

• VFCWs are effective for the treatment of arsenic-containing wastewater. • Arsenic removal did not affect the removal of nutrients, except for TP in CW500. • Arsenic removal was highest when the temperature peaked and the reed was in bloom. • Substrate accumulation contributed more to arsenic removal than plant absorption. Four pilot-scale Vertical Flow Constructed Wetlands (VFCWs) filled with gravel and planted with Phragmites australis were operated for seven months in the field to study the efficiency of arsenic removal in contaminated wastewater. The average arsenic removal efficiency by the VFCWs was 52.0%±20.2%, 52.9%±21.3%, and 40.3%±19.4% at the theoretical concentrations of 50 μg/L (CW50), 100 μg/L (CW100), and 500 μg/L (CW500) arsenic in the wastewater, respectively. The results also showed no significant differences in the removal efficiency for conventional contaminants (nitrogen, phosphorus, or chemical oxygen demand) between wastewater treatments that did or did not contain arsenic (P>0.05), except for phosphorus in CW500. The highest average monthly removal rate of arsenic occurred in August (55.9%–74.5%) and the lowest in November (7.8%–15.5%). The arsenic removal efficiency of each VFCW was positively correlated with temperature (P<0.05). Arsenic accumulated in both substrates and plants, with greater accumulation associated with increased arsenic concentrations in the influent. The maximum accumulated arsenic concentrations in the substrates and plants at the end of the experiment were 4.47 mg/kg and 281.9 mg/kg, respectively, both present in CW500. The translocation factor (TF) of arsenic in the reeds was less than 1, with most of the arsenic accumulating in the roots. The arsenic mass balance indicated that substrate accumulation contributed most to arsenic removal (19.9%–30.4%), with lower levels in plants (3.8%–9.5%). In summary, VFCWs are effective for the treatment of arsenic-containing wastewater.