紫外光降解反应器去除氯苯气体模型的建立与应用

从光化学反应过程出发,基于线性光源球面辐射能量分布（LSSE）,以反应器内部空间的辐射能吸收密度、空塔停留时间、进口浓度等为主要参数,建立了气相环境中紫外光化学反应器去除氯苯的数学模型.结果表明,建立的模型能很好地模拟和预测紫外光化学反应器对氯苯气体的去除性能.氯苯气体的紫外光化学反应表现出一级反应动力学的特征.该模型包含了紫外光降解反应器设计的主要参数,同时被用于预测了反应器在不同进口浓度和不同空塔停留时间条件下的出口氯苯浓度,进而获得不同进口浓度达标排放所需要的最小空塔停留时间,为气相污染物的紫外光降解反应器的设计与运行提供了重要的理论指导.     

氯对模拟管壁生物膜的氧化特性研究

以载片上培养的大肠杆菌生物膜为对象,研究了氯对模拟管壁生物膜中大肠杆菌的灭活效果,同时考察氯氧化生物膜后水中生物可同化有机碳(AOC)、生物可利用磷(MAP)和细菌生长潜能(BRP)的变化情况.结果表明,氯可以有效灭活悬浮态的大肠杆菌,而对生物膜中的大肠杆菌的灭活效率远低于悬浮菌;在相同CT值下,较高浓度的氯对悬浮态和生物膜中大肠杆菌的灭活效果要高于低浓度的氯.氯对生物膜的氧化作用会使生物膜中物质溶出,增加了水中AOC和MAP浓度,如当氯的浓度为1.0 mg/Ｌ(CT值为100 mg·min/L)时,水中AOC由20.78 μg/L增加到120.17 μg/L,MAP含量由0.11 μg/L增加到0.17 μg/L;氯的氧化作用会增加水的细菌生长潜能（BRP）,BRP随着CT值的增加而增加,如当氯投量为1.0 mg/Ｌ(CT值为100　mg·min/L)时,BRP可达到1.10×10⁷ CFU/mL.     

泥水预分离MBR膜污染缓减效能研究

通过长期运行实验,进行了泥水预分离膜生物反应器（sludge/water pre-separation membrane bioreactor, S/W-MBR）与传统淹没式膜生物反应器（submerged membrane bioreactor, SMBR）对比研究,考察了污泥浓度、胞外聚合物含量（extracellular polymeric substances, EPS）及过膜阻力（trans-membrane pressure, TMP）随运行时间的变化规律及其对膜污染的缓减作用.结果表明,S/W-MBR与SMBR生物区的污泥浓度基本一致,而S/W-MBR膜区的污泥浓度较SMBR有显著降低.两者生物区的EPS含量均随运行时间的延长而增加,而S/W-MBR膜区的单位质量污泥的EPS含量始终保持在15 mg/g左右的较低水平.S/W-MBR比SMBR具有更好的缓减膜污染能力,在近90d的连续运行过程中,前者的膜组件仅需清洗2次,后者的膜组件清洗了5次.     

CSTR系统发酵产氢细菌群落动态与产氢能力关系解析

将CSTR系统内pH由4.2一次性提高至6.0左右,启动发酵类型的转化,研究了转化过程系统内的产氢动态和细菌群落.结果表明,在有机负荷维持在（33±1）kg/(m³·d)的情况下,发酵类型10 d内未发生改变,产氢量8 d内未降低,15 d后系统内种群由乙醇型转化为丁酸型,进水碱度由250 mg/L增至2 450　mg/L.研究中利用荧光原位杂交技术（FISH）对反应系统内3类微生物群进行监测发现,在转化过程中Clostridium cluster XI数量增加,Clostridium cluster Ⅰ 和Ⅱ数量减少,而Enterobacteriaceae始终存在,变化不明显.种群的消长同反应系统产氢能力的高低存在密切关联,以Clostridium cluster Ⅰ和Ⅱ占优势的乙醇型发酵具有更佳的产氢能力,平均比产氢速率为23.6 mol/(kg·d).     

Linking the EU emissions trading scheme: economic implications of allowance allocation and global carbon constraints

We investigate the role of domestic allowance allocation and global emissions constraints for the carbon-market impacts of linking the EU Emissions Trading Scheme (ETS) internationally. Employing a quantitative simulation model of the global carbon market, we find that the economic benefits from connecting the European ETS to emerging non-EU schemes strongly depend on the regional allowance allocation of the linking participants: In a world of moderate carbon constraints, an economically efficient regional allowance allocation induces a much stronger fall in total compliance costs than a sub-optimal (i.e. too high) domestic allocation of emissions permits. However, a more efficient (i.e. stricter) allocation shifts abatement efforts and compliance costs to energy-intensive industries which are covered by the domestic ETS. We further find that committing to ambitious global emissions reduction targets (compatible with stabilizing CO₂ concentrations at 450 ppm) induces much stronger regional abatement efforts and substantially higher compliance costs for the abating regions. In such an ambitious climate policy regime, an efficient domestic allocation of allowances is even more important from an economic perspective: Here, linking emissions trading schemes diminishes the associated compliance costs on the largest scale.

Foresty offsets in emissions trading systems: a link between systems?

An important aspect in the linking of different emissions trading schemes is the degree to which these systems allow (or ban) external offset project categories. The EU Emission Trading Scheme (EU ETS) currently allows the use of credits from energy and industry projects developed under the Kyoto Protocol’s Joint Implementation (JI) and Clean Development Mechanism (CDM) but excludes the use of carbon credits from forestry projects for compliance in the EU ETS. Forestry credits generated by the CDM have a limited lifetime and expire at the end of a project’s crediting period, or earlier if the carbon stock for which the credits have been issued ceases to exist. According to the recently adopted amendment of the EU ETS Directive forestry credits will remain to be excluded until 2020. The present article reviews how the New South Wales Greenhouse Gas Abatement Scheme (Australia), the Regional Greenhouse Gas Initiative (US) and the voluntary scheme of the Chicago Climate Exchange integrate forestry offsets into the respective system and how they deal with the risk of losing stored and credited biomass. By comparing the results of different scenarios this article shows how differences in the treatment of forestry offsets could impact the efforts to link various emission trading systems in future.

Collectively engaging complex socio-ecological systems: re-envisioning science, governance, and the California Delta

We address the future of science and governance for the California Delta, focusing on the CALFED Bay-Delta Program, an interagency, multi-stakeholder effort to understand and manage the Delta for multiple purposes. We portray a Delta history as a coevolutionary process between science, governance and ecosystems. Global integrated environmental assessments (IEA) provide insights into understanding complex, dynamic socio-ecological systems. Many of the discursive stakeholder and scientific activities that have arisen under CALFED are similar to IEA and remain essential to the shared learning needed to effectively interact with a dynamic Delta. More deliberately enmeshing environmental monitoring, analysis, and collective learning into Delta governance will improve outcomes.     

以FA与FNA为控制因子的短程硝化启动与维持

为了实现污泥消化液旁侧脱氮,降低主处理区进水氮负荷,试验采用A/O工艺研究消化污泥脱水液短程硝化启动与维持,在常温、长SRT、较高DO条件下,逐步提高进水ALR(以N计)从0.23 kg/(m³·d)到0.78　kg/(m³·d),强化FA对NOB的抑制作用,成功启动了短程硝化.针对废水碱度不足的水质特征,利用FA与FNA的联合抑制使短程硝化得到稳定维持,在稳定运行的30　d内NO^-₂-N积累率一直保持在90%以上.在此期间反应器平均DO浓度一直保持在2 mg/L以上,即使平均DO浓度提高到4.8 mg/L左右,也未出现NO^-₂-N积累率降低,说明利用上述手段维持的短程硝化具有抵抗高DO冲击能力.通过降低进水ALR,导致反应器后段FNA浓度增加,强化了FNA的抑制作用,虽然FA的抑制作用降低,短程硝化仍然连续运行达2个月,当反应器后段FNA的抑制作用撤除后,短程硝化在3　d后被彻底破坏,充分证明了FNA对NOB抑制作用及其对维持本系统短程硝化所起的重要作用.     

膜生物反应器亚硝化性能的影响因素研究

利用膜生物反应器成功启动了亚硝化工艺处理人工合成废水.为了确定影响亚硝化工艺效果的因素,先后对温度和溶解氧浓度进行了研究,结果表明,在温度35℃并且NH4+-N负荷平均0.45 kg.(m3.d)-1和溶解氧0.5 mg/L的条件下,可使出水中NO3--N的浓度低于20 mg.L-1,而ρ(NO2--N)∶ρ(NH4+-N)接近1.0.同时发现反应器运行期间,在低溶解氧的情况下,膜组件的污染并不严重.荧光原位杂交分析发现,在膜生物反应器中氨氧化菌成为优势菌种,亚硝酸盐氧化菌的活性受到了抑制.微生物群落分析则进一步提供了实现亚硝化工艺所必需的生物信息.     

多源数据支持下城市火灾风险评估及规划响应

为探析城市火灾风险的空间格局特征,提出科学的火灾防控体系,以合肥市为研究对象,基于火灾风险兴趣点(POI)数据、NPP/VIIRS夜间灯光影像数据、消防站与道路信息等多源数据,运用SAVEE模型和迭代方程评估城市火灾风险,并引入区位-配置(L-A)模型,从不同目标情境优化消防站点布局。研究表明:火灾高风险区主要集中于合肥市二环以内的建成区,尤其是老城区、合肥西站片区、政务区、科学城和东部新中心等区域;现有48座消防站对研究区内的POI覆盖效果较好,覆盖率为86.76%,而对NPP/VIIRS覆盖效果一般,覆盖率仅为55.94%,覆盖率在合肥市东北部、西北部和南部部分地区仍有不足;基于最大化覆盖模型,规划新增44座消防站,明显提升5 min响应时间的覆盖率,可进一步夯实城市消防安全。