达里诺尔湖水体DOM荧光特征及其来源解析

达里诺尔湖（简称“达里湖”）是内蒙古自治区高原地区重要的生态屏障,探究达里湖水质状况及污染来源,对加强流域水环境治理、改善水环境质量具有十分重要的意义.于2018年9月及2019年6月对湖水进行采样,并通过三维荧光光谱结合PARAFAC（平行因子分析）模型,探究达里湖水体DOM（溶解性有机质）来源及其与水质的关系.结果表明:①达里湖水体中pH较高,ρ（DOC）（DOC为溶解性有机碳）、ρ（NH₄+-N）、ρ（TP）相对较高,均超过GB 3838—2002《地表水环境质量标准》Ⅴ类水质标准限值.②水体中DOM含4种荧光组分.夏季水体DOM主要分布于河流入湖口附近,其中,类腐殖质荧光组分（紫外区类富里酸和可见区类富里酸）占总组分的62.93%,类蛋白类荧光组分（类色氨酸和类酪氨酸）占总组分的36.07%;秋季水体DOM主要分布于东南侧,其中,类腐殖质荧光组分占总组分的40.52%,类蛋白类荧光组分占总组分的59.48%.③达里湖采样点荧光参数表明,达里湖DOM自生源特征较强,腐殖化程度较低.类腐殖质荧光组分与ρ（DOC）、ρ（Chla）均呈正相关,类色氨酸荧光组分与pH呈正相关,类络氨酸与ρ（DTN）、ρ（NH4+-N）、ρ（DTP）均呈正相关.研究显示,达里湖DOM具有陆源与生物源双重特性,DOM的形成与微生物、细菌、浮游生物的生命活动密切相关.      

不同制备温度下污泥生物炭对Cr(Ⅵ)的吸附特性

以城市剩余污泥为原料,于300,400,500,600 ℃温度条件下制备生物炭,通过单因素静态吸附实验探讨制备温度对生物炭吸附Cr（Ⅵ）的影响。结果表明:在500 ℃以内随着温度上升制备的生物炭对Cr（Ⅵ）的吸附量增加,制备温度高于500 ℃后变化不明显;扫描电镜（SEM）、比表面积（BET）、傅里叶红外光谱（FTIR）表征结果显示,热解温度对生物炭表面形貌和官能团组成有显著影响;等温模型及动力学拟合结果表明,生物炭吸附Cr（Ⅵ）为单分子层吸附、物理-化学复合吸附。热解温度对污泥制备生物炭吸附Cr（Ⅵ）的性能有显著影响,最佳制备温度为500 ℃,在此条件制备的生物炭对Cr（Ⅵ）的理论吸附量可达7.93 mg/g。     

内饰材料发射率对密封舱室热防护效率的影响

目的探究密封舱室热防护效率与其内饰材料表面发射率的关系,分析内饰材料发射率对其表面温度、舱室内温度的影响规律。方法采用自行设计的小型密封舱室和加热测量装置,对内饰材料表面及舱室内温度进行测量。结果当内饰材料发射率为0.09时,内饰表面温度为141.2℃,舱室内平均温度仅为90.8℃;内饰材料发射率为0.91时,内饰表面温度为124.4℃,舱室内平均温度为109.1℃。结论试样表面温度随材料发射率的提高而降低,舱室内部空气平均温度随材料发射率的提高而升高;试样表面温度与舱室空气平均温度的温度差随材料发射率的提高而减小;同时,相同试样表面温度与舱室平均温度的温度差随加热温度的提高而增加。     

京津冀地区钢铁行业协同减排成本-效益分析

京津冀地区是我国钢铁行业布局最集中的区域,也是大气污染治理的重点区域之一.分析京津冀地区钢铁行业各类治污手段中长期减排的成本-效益,对于选择最经济有效的减排路径、加快推动该地区大气环境质量达标意义重大.基于能源环境、环境分布、人群健康效益评价等模块构建多模型耦合方法,以2015年为基准年,以每5 a为时间节点,设计了京津冀地区钢铁行业规模-结构、规模-技术、规模-末端治理、综合减排4种协同减排情景,计算各情景下2015—2030年京津冀地区钢铁行业主要污染物(SO₂、NO_x、PM₁₀、PM_2.5、CO₂)的减排成本与效益,比较获取治污减排的最优路径方案.结果表明:①基于减排成本计算,规模-末端治理减排情景成本最低,分别为规模-结构、规模-技术减排情景投入的15.18%、23.94%;综合减排情景下治污减排潜力最大,但综合成本最高.②基于环境税效益评价方法、人群健康效益评价方法计算显示,人群健康效益评价方法计算的减排效益高于环境税效益评价方法,表明污染减排的潜在人群健康效益更高;基于两种减排效益方法,4种协同减排情景中综合减排效益分别为10.78×108、76.14×108元,高于规模-结构、规模-技术、规模-末端治理减排情景效益.③基于环境税效益评价方法,4种协同减排情景的效益-成本比表现为规模-末端治理减排情景(0.46) >规模-技术减排情景(0.24) >综合减排情景(0.15) >规模-结构减排情景(0.10);基于人群健康效益评价方法4种协同减排情景的效益-成本比依次为规模-末端治理减排情景(8.35) >综合减排情景(1.07) >规模-结构减排情景(0.57) >规模-技术减排情景(0.65),表明规模-末端治理减排情景的减排路径最优.研究显示,京津冀地区钢铁行业应基于环境质量底线目标要求,综合考虑减排潜力、减排成本与收益,以规模-末端治理为主要途径,选取协同减排的最优路径.      

Adjusting sowing date and cultivar shift improve maize adaption to climate change in China

Mitigation and Adaptation Strategies for Global Change - This study investigates the impact of climate change on spring and summer maize (Zea mays) yield and evaluates several adaptation measures...     

Seasonal variation and size distribution of biogenic secondary organic aerosols at urban and continental background sites of China

Size-resolved biogenic secondary organic aerosols(BSOA) derived from isoprene and monoterpene photooxidation in Qinghai Lake, Tibetan Plateau(a continental background site) and five cities of China were measured using gas chromatography/mass spectrometry(GC/MS). Concentrations of the determined BSOA are higher in the cities than in the background and are also higher in summer than in winter. Moreover, strong positive correlations(R2= 0.44–0.90) between BSOA and sulfate were found at the six sites,suggesting that anthropogenic pollution(i.e., sulfate) could enhance SOA formation,because sulfate provides a surface favorable for acid-catalyzed formation of BSOA. Size distribution measurements showed that most of the determined SOA tracers are enriched in the fine mode( 3.3 μm) except for cis-pinic and cis-pinonic acids, both presented a comparable mass in the fine and coarse( 3.3 μm) modes, respectively. Mass ratio of oxidation products derived from isoprene to those from monoterpene in the five urban regions during summer are much less than those in Qinghai Lake region. In addition, in the five urban regions relative abundances of monoterpene oxidation products to SOA are much higher than those of isoprene. Such phenomena suggest that BSOA derived from monoterpenes are more abundant than those from isoprene in Chinese urban areas.     

高速铁路选线对生态环境的影响分析研究

高速铁路选线要充分考虑对生态环境的影响,在路基、桥涵、隧道等形式通过环境敏感点时,要从工程技术和生态环境保护的角度出发,避免高速铁路建设和运营对当地的水资源环境、自然保护区造成破坏。根据高速铁路周边的环境信息,在路基填土高度上结合地形、地质和水文自然特征确定合理的填土高度。在高速铁路跨越生态保护区和湖泊等线路中,贯彻生态选线的原则,准确确定桥涵净空,在工程设计、施工上采用系列的生态保护措施。     

绿色建筑的节能环保设计思路分析研究

绿色建筑具有透光好、保温性与通风性好等优点,为了实现节能减排,提高宜居性,进行绿色建筑的节能环保设计,考虑低碳节能效果,在建筑外墙使用抹整体式保温系统,楼顶使用现浇整体式保温系统进行建筑的保温墙设计,考虑建筑的通风性,建筑使用通透性的设计方案,设计空中楼顶花园,提高隔热防晒效果的同时,提高绿化覆盖面积。合理布局楼高和楼间距,提高建筑的采光性,设计景观生物廊道,采用底层架空式结构实现自然通风和采光,实现绿色建筑的节能优化设计。     

Analysing the sensitivity behaviour of two hydrology models

Recently, the New Morris Method has been presented as an effective sensitivity analysis tool for mathematical models. The New Morris Method estimates the sensitivity of an output parameter to a given set of input parameters (first-order effects) and the extent these parameters interact with each other (second-order effects). This method requires the specification of two parameters (runs and resolution) that control the sampling of the output parameter to determine its sensitivity to various inputs. The criteria for these parameters have been set on the analysis of a well-behaved analytical function (see Cropp and Braddock, Reliab. Eng. Syst. Saf. 78:77–83, 2002), which may not be applicable to other physical models that describe complex processes. This paper will investigate the appropriateness of the criteria from (Cropp and Braddock, 2002) and hence the effectiveness of the New Morris Method to determine the sensitivity behaviour of two hydrologic models: the Soil Erosion and Deposition System and Griffith University Representation of Urban Hydrology. In the first case, this paper will separately analyse the sensitivity of an output parameter on a set of input parameters (first- and second-order effects) for each model and discuss the physical meaning of these sensitivities. This will be followed by an investigation into the sampling criteria by exploring the convergence of the sensitivity behaviour for each model as the sampling of the parameter space is increased. By comparing these trends to the convergence behaviour from Cropp and Braddock (2002), we will determine how well the New Morris Method estimates the sensitivity for each model and whether the sampling criteria are appropriate for these models. It will be shown that the New Morris Method can provide additional insight into the functioning of these models, and that, under a different metric, the sensitivity behaviour of these models does converge confirming the sampling criteria set by Cropp and Braddock.     

Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems.