磷钼蓝光度法测定海藻中磷的含量

采用对P的特异性高、共存离子干扰小、显色稳定的钼蓝分光光度法,以抗坏血酸作为还原剂,通过在酸性条件下PO43-与钼酸铵结合生成磷钼酸铵,并经对苯二酚、亚硫酸钠还原成蓝色化合物-钼蓝,在其最大吸收波长660 nm条件下,对海带标准样品进行了测定.该方法所用试剂少、操作简便、测定速度快,测定结果精度高、准确度好,回收率为99.1%～100.5%,是一种简便、快捷测定海藻体内总磷含量的方法.     

黄绵土N2O排放的水分效应及动力学特征

通过室内模拟试验,研究湿度对西北地区黄绵土N2O排放的影响.结果表明:在试验温度下,随着土壤湿度增加,土壤N2O捧放量增加;但土壤孔隙含水量(WFPS)为20.67%时例外.此时黄绵土对空气中N2O有吸附现象,即在低含水量时,黄绵土有可能是N2O的汇.在试验设计的土壤湿度范围内,15℃条件下土壤N2O排放的最大水分效应区间在49.18%～57.86%(WFPS)之间,20℃条件下在38.14%～49.18%(WFPS)之间,25℃、30℃和35℃时累积量湿区在20.67%～38.14%(WFPS)之间,即随着温度的升高,N2O的最大水分效应区间提前.土壤N2O累积排放量(y)动力学曲线符合修正的Elovich方程(P<0.01),随着湿度的增加,表观排放速率(b)增大,25℃、300C和35℃时,N2O初始排放量(a)也随着湿度增加而增大;15℃、20℃和25℃时,土壤湿度(20.67%～57.86%WFPS)对农田土样N2O排放总量的作用表现为线性关系,30℃和35℃时表现为对数关系.     

风景区旅游设施景观影响评价方法研究

在风景区旅游设施,其选址是否合理是环境影响评价中的重点。在视觉敏感的位置建设旅游设施,将会对景观资源产生长远的不利影响。因此建设项目的选址应尽量避开视觉敏感的地方,以避免或减少建设项目对风景区的景观影响。论文以某旅游区索道建设为例,利用地理信息系统,首先分析景区主要景点、休闲场所、旅游线路和周围交通干线等视觉敏感观察点的可见度,表明索道1/3位于高可见区或较高可见区内。进而分析索道的可见度分析,表明景区内7个景点和一条主要旅游线路及景区外的一条二级公路处在索道的可见区内。最后分析索道对可见区内的敏感观察地点的景观影响,表明索道对景区内的7个景点和一条主要旅游线路景观影响较大。从以上分析得出索道的选址不合理,需要重新选址或者修整方案。论文在对视觉敏感观察点的可见度和项目区景观质量的分析的基础上,提出了索道选址的建议区域或采用降低索道高度的措施可避免或减小索道建设对风景区的景观影响。     

2014年1月北京市大气重污染过程单颗粒物特征分析

利用在线单颗粒物气溶胶质谱仪(SPAMS)对2014年1月北京市典型大气重污染过程进行了连续监测,分析了具有正负离子质谱信息的颗粒物共2248225个.同时,利用ART-2a神经网络分类方法并结合Matlab统计分析,将具有质谱信息的颗粒物归为10类,分别为:矿尘类颗粒物(Dust)、元素碳颗粒物(EC)、有机碳颗粒物(OC)、元素碳和有机碳混合颗粒物(ECOC)、钠钾颗粒物(NaK)、富钾颗粒物(K)、含氮有机物(KCN)、高分子有机物(MOC,Macromolecular OC)、多环芳烃类颗粒物(PAHs)和重金属类颗粒物(Metal).结合PM_2.5质量浓度数据和HYSPLIT 4.0后向轨迹模型结果,将观测时间段划分为3个典型污染过程和1个清洁过程.结果显示,重污染期间OC、MOC和PAHs为最主要的颗粒物类型.最后,本文还比对分析了污染过程和清洁期间颗粒物的混合状态,结果表明,污染过程中硫酸盐和硝酸盐较清洁期间更容易与碳质颗粒物结合.     

金华市义乌江沉积物磁性特征与重金属污染

对浙江省金华市义乌江采集的边滩沉积物柱样,进行了系统的环境磁学、粒度、地球化学分析,以探讨环境磁学方法诊断河流沉积物重金属污染的可行性.结果表明,柱样磁性特征由亚铁磁性矿物主导,其垂向变化受到粒度和早期成岩作用的一定影响.柱样中重金属Cr、Ni、Cu、Zn、Cd、Pb含量及其富集因子除底部外,自下而上呈增加趋势,指示了柱样上部存在人为来源的重金属污染.柱样沉积物磁性特征与重金属含量及其富集因子的垂向变化存在相似性,其中磁化率(χ)、频率磁化率(χfd%)和硬剩磁(HIRM)与Cr、Cu、Zn、Cd、Pb的含量具有显著的正相关关系,反映了磁性矿物与重金属具有相同的来源,或者细颗粒磁性矿物对重金属的吸附作用.上述结果表明,磁学方法可用于指示义乌江的重金属污染.但由于义乌江属于开放性的河流环境系统,磁性特征变化受多重因素影响,增加了利用磁学手段定量诊断重金属污染的复杂性.     

2014年北京市PM2.5质量浓度分析及比对研究

本研究选择污染严重的北京作为研究区域,自2013年12月起至2014年12月,通过设在北五环中国环境科学研究院(CRAES)内的定点监测,获得375天有效平行样品(T和Q)。统计结果表明,2014年北京市PM_(2.5)质量浓度从优良水平的6.9μg/m~3到极重污染的422.1μg/m~3,年均浓度值在100μg/m~3左右。T组和Q组线性相关,但T/Q并非定值,冬季最高,R~2=0.974,对应T/Q=1.014,可能由于冬季污染程度较重,滤膜性能差异可忽略。除春季外,其它三季的PM_(2.5)都是T组>Q组,与石英膜的纤维结构不够致密有关。以T组质量浓度数据为准,与国控监测点奥体中心点公报的日均PM_(2.5)进行比对,结果显示二者基本同步,在春冬季呈现较高的污染浓度,在夏季最低。在严重污染时(PM_(2.5)>250.0μg/m~3),在线监测可能低估PM_(2.5)而T组能更客观地记录实际污染状况。统计2014年全年污染等级分布,4~8月份基本未出现重度污染,而在冬季采暖期10~12月份,优良天数不足50%。综合分析风速、相对湿度对PM_(2.5)质量浓度的影响,证实冬季取暖燃煤和无风、高湿、逆温的静稳天气是霾频发的主要原因。     

海水中Cu2+和Cr3+对PFOS在沉积物上吸附行为的影响规律

为了解重金属与全氟辛烷磺酸(PFOS)共存情况下,PFOS在沉积物上的吸附规律,本研究分别测定了在海水和淡水条件下添加不同浓度的Cu2+和Cr3+(0.5~50 mM)后,PFOS在沉积物上的吸附行为。结果表明,随着[Cu2+]的增加,PFOS在沉积物上的吸附能力和非线性均增强,且当溶液中PFOS浓度越低,增强作用越明显。与淡水相比,海水环境下该增强作用更为明显。随着[Cr3+]的增加,PFOS在沉积物上的吸附能力和非线性略有增强,且海水和淡水环境中增强作用几乎相同。对比发现,海水中Cu2+对PFOS在沉积物上的吸附增强效应比Cr3+更加明显。本文研究结果将有助于定量了解和预测PFOS和重金属复合污染情况下,PFOS在海水环境中的迁移规律,并为科学评价海洋环境中PFOS和重金属的生态风险及其总量控制提供技术支撑。     

Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado,USA

While there are currently a number of irrigated land datasets available for the western United States (U.S.), there is uncertainty regarding in how they relate to each other. To help understand the characteristics of available irrigated datasets, we compared (1) the Cropland Data Layer (CDL), (2) Moderate Resolution Imaging Spectroradiometer Irrigated Agriculture Dataset (IAD), (3) Digitized Irrigated Land (DIL), and (4) Consumptive Use for Irrigation (CUI) data in Arizona and Colorado, U.S. These datasets were derived from multiple sources at various spatial resolutions and temporal scales. We found spatial and temporal trends among all of them. The datasets showed decreases in irrigated land area in Arizona during the 2000–2010 time period. The change ranges and ratios were similar in all Arizona datasets. Irrigated land in Colorado decreased in DIL and CUI but increased in IAD and CDL. The agreement within the same type of dataset during different time periods was from 60% to 80% (R² from 0.35 to 0.72) in Arizona and from 50% to 80% (R² from 0.23 to 0.68) in Colorado. DIL had the highest agreement (80%) in both states. The agreement among different datasets acquired at approximately the same time frame ranged from 51% to 63% (R² from 0.14 to 0.31) in Arizona and from 47% to 69% (R² from 0.32 to 0.40) in Colorado. The results from this study support a greater understanding of the multiresolution and multitemporal nature of these datasets for various applications.     

How China’s current energy pricing mechanisms will impact its marginal carbon abatement costs?

Economic and social costs and benefits are critical factors affecting greenhouse gas abatement activities. Recognizing that energy prices are one of the most important factors influencing abatement costs, this study improved the basic China Energy and Environmental Policy Analysis (CEEPA) model by introducing a current energy pricing mechanism for China. The improved model was applied to generate marginal abatement cost (MAC) curves for China including the current energy pricing mechanism and to analyze MACs for the whole country and main abatement sectors in China under different energy pricing mechanisms. The results show that China MACs are sensitive to pricing mechanisms for electricity and refined oil. Ignoring the current regulation of these prices will lead to MAC underestimation, and price liberalization of these two energy sources could lead to a decrease in China MACs. Under a 50 % emission reduction target, if the electricity price regulation is ignored, the China MAC is underestimated by almost 16 %. Energy pricing reforms will lead to variations in sectoral abatement costs and overall abatement potential, and these impacts are projected to be large in the electricity sector. Under a 50 % reduction target, if the electricity price regulation is liberalized, MAC for the electricity sector nearly will decrease 50 %.     

Microwave enhanced stabilization of copper in artificially contaminated soil

Microwave processing was used to stabilize copper ions in soil samples. Its effects on the stabilization efficiency were studied as a function of additive, microwave power, process time, and reaction atmosphere. The stabilization efficiency of the microwave process was evaluated based on the results of the toxicity characteristic leaching procedure (TCLP) test. The results showed that the optimal experimental condition contained a 700W microwave power, 20 min process time and 3 iron wires as the additive, and that the highest stabilization efficiency level was more than 70%. In addition, the different reaction atmospheres showed no apparent effect on the stabilization efficiency of copper in the artificially contaminated soil. According to the result of the Tessier sequential extraction, the partial species of copper in the contaminated soil was deduced to transform from unstable species to stable states after the microwave process.