2种再生水深度处理工艺对有毒有机污染物去除效果的评价研究

采用固相萃取(SPE)技术和气相色谱/质谱联用(GC/MS)的方法对2个再生水厂的进水和不同深度处理工艺出水中的有毒有机污染物进行了定性和定量分析,讨论了这2种不同再生水深度处理工艺对有毒有机污染物的去除效果.结果表明,厌氧/缺氧/好氧(A2/O)+连续微滤技术(CMF)+加氯消毒处理工艺和水解酸化+膜生物反应器(MB...     

江苏盐城滩涂土壤中多环芳烃的测定

文中采用江苏盐城滩涂响水到滨海一带的滩涂土壤样品,利用索氏提取法提取、硅胶柱净化、高效液相色谱法分离检测土壤样品中的多环芳烃(PAHs),并用优化洗脱程序对滩涂土壤中PAHs的含量进行了测定。结果表明:11个滩涂土壤样品中检出萘、苊烯、菲、蒽、荧蒽、芘六种PAHs,其含量较低,说明该段滩涂土壤尚未受到多环芳烃的污染。     

活性炭纤维(ACF)应用于有机废气回收和净化的进展

活性炭纤维(ACF)有比普通活性炭吸附量大、吸附和脱附速度快等优点,因此应用于有机废气的回收和净化,具有良好的经济、环境和社会效益。文中介绍了ACF的微观结构、表面化学以及吸附性能,并综述了近年来ACF在有机废气回收和治理方面的国内概况。     

Environmental assessment of garden waste management in the Municipality of Aarhus, Denmark

An environmental assessment of six scenarios for handling of garden waste in the Municipality of Aarhus (Denmark) was performed from a life cycle perspective by means of the LCA-model EASEWASTE. In the first (baseline) scenario, the current garden waste management system based on windrow composting was assessed, while in the other five scenarios alternative solutions including incineration and home composting of fractions of the garden waste were evaluated. The environmental profile (normalised to Person Equivalent, PE) of the current garden waste management in Aarhus is in the order of −6 to 8 mPE Mg⁻¹ ww for the non-toxic categories and up to 100 mPE Mg⁻¹ ww for the toxic categories. The potential impacts on non-toxic categories are much smaller than what is found for other fractions of municipal solid waste. Incineration (up to 35% of the garden waste) and home composting (up to 18% of the garden waste) seem from an environmental point of view suitable for diverting waste away from the composting facility in order to increase its capacity. In particular the incineration of woody parts of the garden waste improved the environmental profile of the garden waste management significantly.     

光催化还原CO2的研究进展

介绍了多种将CO2转化为化工产品的光催化还原体系,包括TiO2体系、金属修饰的TiO2体系、有机光敏化剂修饰的TiO2体系和其他光敏半导体材料体系.评述了不同光催化体系的特点及其催化性能.讨论了光源波长、反应温度、CO2压力和浓度、H2O和CO2摩尔比等实验条件对反应产物种类及其产量的影响,指出催化剂的活性、光源波长和...     

含氮生物降解促进剂对土壤吸附正十六烷的影响

选用正十六烷模拟润滑油,通过振荡平衡实验,考察了两种含氮脂肪酸型生物降解促进剂（甲基二乙醇胺油酸酯（MDEAO）和油酸二乙醇酰胺（ODEA））对水土体系中正十六烷吸附行为的影响。实验结果表明：正十六烷在水土体系中的有机质标化分配系数与土壤种类无关,与生物降解促进剂种类有关;土壤对正十六烷的吸附过程更符合Freundlich等温吸附模型;MDEAO的临界胶束浓度为2.0 mg/L,对土壤吸附正十六烷有一定的促进作用,ODEA的临界胶束浓度为0.7 mg/L,形成的胶束对正十六烷的增溶效果明显,促进了正十六烷在土壤中的解吸。     

高铁酸盐处理有机废水的研究进展

综述了高铁酸盐去除水中藻类、细菌、烃类衍生物、药品、农药、染料等有机污染物的国内外最新研究进展,并对高铁酸盐的高效利用进行了探讨。高铁酸盐可破坏藻类和细菌细胞的完整性,将大分子芳香烃衍生物氧化为低毒的小分子中间体,将小分子链烃衍生物矿化,破坏药品、农药及染料的不饱和双键。无机矿物在溶液中负载高铁酸盐或将高分子有机物与固体高铁酸盐混合造粒,将是高铁酸盐高效利用领域的研究热点。     

我国林业碳汇市场供需研究——以广东长隆碳汇造林项目为例

广东长隆碳汇造林项目作为我国首个获得国家发展和改革委员会签发的林业温室气体自愿减排(CCER)项目,对于我国林业碳汇参与应对气候变化具有重要的示范意义。本文对广东长隆碳汇造林项目进行了成本收益分析,发现林业碳汇交易价格被远远低估,从而使该项目不具备经济上的可复制性。为探究交易价格被低估的原因,本文考察了林业碳汇市场的供需关系,发现目前碳交易市场对林业碳汇CCER需求不足仅是表象,供需错配才是实质。首先,从需求侧来看,广东省碳排放配额设置过于宽松,缺乏林业碳汇CCER的接纳能力;其次,就供给侧而言,CCER的交易成本很高,且项目申报要求业主为企业法人,这严重限制了林业碳汇CCER的有效供给。鉴于以上问题,本文提出应同时从林业碳汇CCER的需求侧和供给侧着手改革。就需求侧而言,收紧广东省碳排放配额总量,并将林业碳汇CCER交易由补充机制改为配额管理。就供给侧而言,可以结合广东省推进林业碳普惠制度,将项目申报主体和交易主体放宽到独立法人和个人,广泛吸收民间资本、培育大型林业企业开展碳汇造林项目;降低碳汇项目进入门槛,根据省情制定方法学,简化签批手续。     

Does Including Soil Moisture Observations Improve Operational Streamflow Forecasts in Snow‐Dominated Watersheds?

Changing climate and growing water demand are increasing the need for robust streamflow forecasts. Historically, operational streamflow forecasts made by the Natural Resources Conservation Service have relied on precipitation and snow water equivalent observations from Snow Telemetry (SNOTEL) sites. We investigate whether also including SNOTEL soil moisture observations improve April‐July streamflow volume forecast accuracy at 0, 1, 2, and 3‐month lead times at 12 watersheds in Utah and California. We found statistically significant improvement in 0 and 3‐month lead time accuracy in 8 of 12 watersheds and 10 of 12 watersheds for 1 and 2‐month lead times. Surprisingly, these improvements were insensitive to soil moisture metrics derived from soil physical properties. Forecasts were made with volumetric water content (VWC) averaged from October 1 to the forecast date. By including VWC at the 0‐month lead time the forecasts explained 7.3% more variability and increased the streamflow volume accuracy by 8.4% on average compared to standard forecasts that already explained an average 77% of the variability. At 1 to 3‐month lead times, the inclusion of soil moisture explained 12.3‐26.3% more variability than the standard forecast on average. Our findings indicate including soil moisture observations increased statistical streamflow forecast accuracy and thus, could potentially improve water supply reliability in regions affected by changing snowpacks.