Ca_5(AsO_4)_3OH的溶解度与稳定性研究

通过在不同pH值,温度等条件下Ca5(AsO4)3OH的溶解,确定其稳定存在的pH值范围,得出它的溶度积和生成的自由能(ΔG0f)。结果表明,Ca5(AsO4)3OH在水中的溶解度和稳定范围与pH和温度有关,在酸性条件下(初始pH=2)它的溶解度较大,而且在水中的溶解度随着温度的升高而降低。利用PHREEQC程序计算确定Ca5(AsO4)3OH的溶度积为10-40.86,生成自由能ΔG0f为-5 063.53 kJ/mol。利用JADE5软件计算得到其晶格参数a=b=9.696,c=6.967和晶胞体积为567.304 3。     

固定化微生物强化处理对甲苯胺模拟废水的研究

采用新型固定化载体大孔吸附树脂X-5固定化微生物强化SBR处理对甲苯胺模拟废水,与对照组相比,通过投加大孔吸附树脂X-5固定化微生物可以有效提高反应器的处理效率.在进水TOC浓度为434.8 mg/L,对甲苯胺浓度为326.9 mg/L的条件下,强化组可在100 min左右将TOC和对甲苯胺基本去除完全,去除率在99%以上.对照组则需要300min才能达到相近的去除效果.强化组对氨氮同样具有较好的硝化效果,出水氨氮浓度在10 mg/L以下.     

污水生化需氧量(BOD)的在线自动监测

采用由程序控制的自动采样器、自动稀释器和流动注射 微生物传感器组成的BOD在线自动监测仪 ,对污水BOD进行了在线自动监测。用该仪器监测配制标样和质控标样的结果具有良好的准确度和精密度。该仪器安装于污水处理厂出水口 ,连续运行 1 0d状态良好 ,且测定结果与标准稀释法测得的BOD5有良好的相关性     

大气颗粒物监测分析及今后研究课题

概述了 PM1 0 和 PM2 .5今后的研究方向。目前我国尚未开展 PM2 .5的常规监测 ,PM1 0 的自动监测中尚存在一些技术问题 ,且尚未公布 PM1 0 自动监测的技术性标准 ,为了满足各级环境监测站的工作需求 ,在附录中介绍了国外关于PM1 0 和 PM2 .5的监测仪器和方法标准 ,并介绍了 2 0 0 0年日本颁布的 PM2 .5自动监测技术规定     

带有阶跃函数的GIM（1）预测模型及其应用

结合某水域地面水ＲＯＤ５的预测实践,研究提出了带有阶跃函数的ＧＩＭ（１）预测模型,并给出了估计这种模型参数的简便方法,从而扩大了ＧＩＭ（１）模型在环境系统中的应用范围,实例表明,运用该方法得到的模型比常规ＧＩＭ（１）具有更高的精度。     

新试剂5—（3—甲基—2—吡啶）亚甲基若丹宁光度法测定汞的研究

研究了新试剂5-（3-甲基-2-毗啶）亚甲基若丹宁（MPMR）与汞的显色反应,在弱酸性介质中和CTMAB微乳液存在下,MPMR与Hg2 生成2：1稳定络合物,λmax=445nm,ε=1.04X105L.mol－1.cm－1。汞的含量在0～1．2mg几内符合比耳定律。方法用于水样中汞的测定,结果满意。     

浙江油田管5井区块注水处理研究

浙江油田管5井区块属于低渗透区块,油田开发过程中产出水悬浮物(SS)、硫酸盐还原菌(SRB)、腐生菌(TGB)等指标严重超标。未经处理的油田污水如果直接注入到地层中,注入水中的悬浮颗粒会伤害油层的渗透率,导致注水井的吸水能力降低和油井产能下降,从而影响开发效果。因而,对其油田产出水采用内压式中空纤维超滤工艺处理。文章介绍了注水处理工艺及流程,结果表明:超滤工艺出水水质:SS为0.25mg/L,SRB菌数为0,铁细菌数为17个/mL,腐生菌数0,相关水质指标符合《碎屑岩油藏注水水质推荐指标及分析方法》(SY/T5329-94)的要求。     

含钒废渣生产五氧化二钒的沉钒废水的处理研究

简要介绍了含钒废渣生产五氧化二钒的工艺,阐述了沉钒废水对人体和环境的危害,陈述了两种工艺沉钒废水的主要成分及浓度,分析了共性和特性。并针对不同的生产方法及沉钒废水的性质,分别选择制定合理的废水处理方案,为环境影响评价工作提供一定的科学依据。     

关于大气中PM2.5浓度的综合预测

鉴于PM2.5对人体的危害，为了提前预测PM2.5浓度值并及时通过降雨方法降低其浓度，开展了PM2.5浓度综合预测研究。通过对西安市一个空气质量监测点收集到观测数据分析与PM2.5浓度强相关的因素，随后综合考虑天气、温度、风力风向对PM2.5浓度观测值的影响，通过添加虚拟变量及因子分析提取因子的方法，将强相关因素、提取的天气、温度、风力风向因子与PM2.5浓度观测值进行回归预测，最终得到较好预测效果。     

The perpetual state of emergency that sacrifices protected areas in a changing climate

A modern challenge for conservation biology is to assess the consequences of policies that adhere to assumptions of stationarity (e.g., historic norms) in an era of global environmental change. Such policies may result in unexpected and surprising levels of mitigation given future climate‐change trajectories, especially as agriculture looks to protected areas to buffer against production losses during periods of environmental extremes. We assessed the potential impact of climate‐change scenarios on the rates at which grasslands enrolled in the Conservation Reserve Program (CRP) are authorized for emergency harvesting (i.e., biomass removal) for agricultural use, which can occur when precipitation for the previous 4 months is below 40% of the normal or historical mean precipitation for that 4‐month period. We developed and analyzed scenarios under the condition that policy will continue to operate under assumptions of stationarity, thereby authorizing emergency biomass harvesting solely as a function of precipitation departure from historic norms. Model projections showed the historical likelihood of authorizing emergency biomass harvesting in any given year in the northern Great Plains was 33.28% based on long‐term weather records. Emergency biomass harvesting became the norm (>50% of years) in the scenario that reflected continued increases in emissions and a decrease in growing‐season precipitation, and areas in the Great Plains with higher historical mean annual rainfall were disproportionately affected and were subject to a greater increase in emergency biomass removal. Emergency biomass harvesting decreased only in the scenario with rapid reductions in emissions. Our scenario‐impact analysis indicated that biomass from lands enrolled in the CRP would be used primarily as a buffer for agriculture in an era of climatic change unless policy guidelines are adapted or climate‐change projections significantly depart from the current consensus.