Characteristics and cause analysis of heavy haze in Changchun City in Northeast China

Northeast China has been reported as having serious air pollution in China with increasing occurrences of severe haze episodes. Changchun City, as the center of Northeast China, has longstanding industry and is an important agricultural base. Additionally, Changchun City has a long winter requiring heating of buildings emitting pollution into the air. These factors contribute to the complexity of haze pollution in this area. In order to analyze the causes of heavy haze, surface air quality has been monitored from 2013 to 2015. By using satellite and meteorological data, atmospheric pollution status, spatio-temporal variations and formation have been analyzed. Results indicated that the air quality in 88.9% of days exceeding air quality index(AQI) level-1 standard(AQI 50) according to the National Ambient Air Quality Standard(NAAQS) of China. Conversely, 33.7% of the days showed a higher level with AQI 100. Extreme haze events(AQI 300) occurred frequently during agricultural harvesting period(from October 10 to November 10), intensive winter heating period(from Late-December to February) and period of spring windblown dust(April and May). Most daily concentrations of gaseous pollutants, i.e., NO_2(43.8 μg/m~3), CO(0.9 mg/m~3), SO_2(37.9 μg/m~3), and O_3(74.9 μg/m~3) were evaluated within level-1 concentration limits of NAAQS standards. However, particulate matter(PM_(2.5) and PM10) concentrations(67.3 μg/m~3 and 115.2 μg/m~3, respectively) were significantly higher than their level-1 limits. Severe haze in spring was caused by offsite transported dust and windblown surface soil. Heavy haze periods during fall and winter were mainly formed by intensive emissions of atmospheric pollutants and steady weather conditions(i.e., low wind speed and inversion layer). The overlay emissions of widespread straw burning and coal combustion for heating were the dominant factors contributing to haze in autumn, while intensive coal burning during the coldest time was the primary component of total emissions. In addition, general emissions including automobile exhaust, road and construction dust, residential and industrial activities, have significantly increased in recent years, making heavy haze a more frequent occurrence. Therefore, both improved technological strategies and optimized pollution management on a regional scale are necessary to minimize emissions in specified seasons in Changchun City, as well as comprehensive control measures in Northeast China.     

黄河沙漠宽谷段水沙变化特征及驱动因素

根据定位观测、第一次全国水利普查、遥感影像解译的数据,利用MWP、双累计曲线、水土保持分析法、数学模拟等方法,分析了黄河上游水沙变化特征,评估了多元驱动因素对2000-2012年黄河下河沿-头道拐沙漠宽谷段水沙变化的贡献率。结果表明:与20世纪70年代以前的基准期相比,2000年以来径流量、输沙量同步减少,水沙关系也发生变化,单位径流量的输沙量明显减少;沙漠宽谷段径流量减幅沿程不断增加而输沙量减幅沿程变化不大,水沙年内分配较基准期发生倒置,来沙系数不断减小;灌区引水引沙、水土保持措施、水库拦沙、支流来水来沙、水库调蓄及河道冲淤是沙漠宽谷段水沙变化的主要影响因子;经济社会发展用水对沙漠宽谷段径流量减少的作用最大,贡献率为81%,其次是水库蓄泄量,占15%以上;水库拦沙对头道拐输沙量减少的贡献率最大,占41%,其次是支流水土保持措施,贡献率约占13%,入黄风沙减少的贡献率并不大,约为6%,而河道淤积量、灌区引沙量较基准期都是减少的,贡献率分别约为-41%和-8%;近10多年来降雨等自然因素对水沙变化的作用相对不大,起主要作用的是水库运用、水土保持、经济社会发展等人类活动因素。     

毛乌素沙区沙漠化土地防治区划

毛乌素沙区在自然条件、沙漠化程度和变化趋势及产业经济发展特征等方面具有明显的空间异质性,合理地进行区域沙漠化土地防治区划是因地制宜开展土地沙漠化防治工作的重要基础。选取自然条件、沙漠化发展过程及人类活动等方面12个指标,将毛乌素沙区划分为黄土高原与鄂尔多斯高原过渡区、毛乌素沙地腹地典型草原区和西鄂尔多斯荒漠草原区3个区、7个亚区、12个小区。在区域可持续发展战略的实施过程中,要根据亚区和小区的特点有针对性地进行沙漠化土地的防治,充分利用区域资源优势,优化产业结构,确保经济效益、社会效益和生态效益的稳步提升。     

Simulation of interactions among multiple debris flows

Adjacent debris flows may interact in many ways: two or more concurrent debris flows may merge; one debris flow can run out over an existing debris flow fan. Such interactions may cause debris flow properties to change in the mixing process as well as more severe adverse effects than those caused by a single debris flow. This paper aims to investigate the interactions among channelized debris flows originated from adjacent catchments. Both concurrent and successive debris flows are considered. If several debris flows originate from different locations concurrently and merge, the volumetric sediment concentration (i.e., the ratio of the volume of solid material to the total volume of debris flow), C _v, is a good index to capture the mixing process of these debris flows. The change in C _v reflects where mixing occurs and the mixing degree. The debris flow properties (e.g., yield stress and dynamic viscosity) evolve in the mixing process and can be captured by the change in C _v. The debris flow with a larger volume dominates the mixing process, and the properties of the mixed debris flow are more similar to those of the larger debris flow. The inundated areas and runout distances of successive debris flows are smaller than those of concurrent debris flows of the same total volume due to the smaller scales of the individual events and blockage by the earlier debris flows. However, the deposit depth in the interacting part of the debris flow fans of successive debris flows can be much larger than that of concurrent debris flows, leading to more destructive cascading hazards (e.g., the formation of debris barrier lakes). The sequence of successive debris flows not only significantly influences the runout characteristics of the debris flows but also substantially affects the cascading hazards.     

湖相原生白云石的微生物成因机理探讨*

近年来,随着对微生物白云石模式研究的不断深入,为解释“白云石问题”提供了新思路。前人对微生物白云石成因研究侧重于微生物对未固结沉积物的改造,即有机准同生白云石化作用,这与实验室中以微生物为媒介形成的“有机原生白云石”在成因机理上存在差异。笔者将微生物白云石机理引入湖相原生白云石成因解释中,认为在湖水—沉积物交界处也会发生微生物成因的原生白云石沉淀,即有机原生白云石。湖水与沉积物交界处的微环境存在明显区别,总体可分为有氧和缺氧2种亚环境,不同亚环境中生活有不同的微生物群落。根据湖泊亚环境特性和微生物种类及其在白云石形成过程中所发挥的作用,可以区分出细菌有氧氧化模式、硫酸盐还原模式和产甲烷模式3种微生物白云石模式。不同模式对应于不同的湖泊环境: 细菌有氧氧化模式主要发生于有氧、高Mg/Ca值的咸水/盐湖环境;硫酸盐还原模式主要发生于缺氧、高Mg/Ca值的咸水/盐湖环境;产甲烷模式主要发生于缺氧、低Mg/Ca值的淡水/咸水湖环境。另外,还探讨了pH值变化、SO42-的存在和硫化物对镁水合物脱水的影响以及微生物白云石沉淀的环境因子。对微生物成因的原生白云石模式的深入认识,将为湖相白云石成因研究提供新的理论基础和研究思路。     

川中磨溪—高石梯地区下寒武统龙王庙组层序格架内滩体的发育演化特征及对储层的控制

川中磨溪—高石梯地区龙王庙组可划分为两个三级层序。通过大量岩心、薄片以及测井资料综合分析,磨溪—高石梯地区龙王庙期整体属于局限台地沉积,可划分为台内滩、滩间洼地以及潟湖亚相。以台内滩颗粒含量、沉积构造以及单层滩体沉积厚度为基础,结合测井响应特征分析,将台内滩划分为滩核、滩翼以及白云岩坪等微相,并建立了台内滩的3种典型沉积序列:滩翼—滩核—白云岩坪、潟湖—滩间洼地—台内滩,以及滩间洼地—台内滩。层序格架内台内滩的纵横向发育特征表明:SQ_2时期较SQ_1时期更为发育,滩体单层厚度和总厚度均较大,层序界面附近的滩核—白云岩坪沉积序列上部为最有利的储层发育相带。     

尼日尔Termit盆地上白垩统Madama组地震相识别与沉积相演化分析

以层序地层学及沉积学理论为指导,综合运用测井、录井以及地震资料,将尼日尔Termit盆地上白垩统Madama组划分为一个三级层序(MS),并进一步识别出低位体系域、海侵体系域以及高位体系域。在等时层序地层格架内,识别出前积反射地震相、河道充填反射地震相、平行-亚平行反射地震相以及杂乱反射地震相等四种类型,并识别出辫状河三角洲的沉积相类型。认为层序MS的低位体系域主要发育辫状河三角洲前缘亚相,高位体系域则主要发育辫状河三角洲平原亚相。Madama组整体表现为一个海退的沉积演化过程。     

Dye adsorption on electrochemical exfoliated graphene oxide nanosheets: pH influence,kinetics and equilibrium in aqueous solution

Graphene oxide nanosheets were synthesized by electrochemical exfoliation. X-ray diffraction, scanning electron microscopy, atomic force microscopy, Raman spectrometry and Fourier transform infrared spectrometry were used to characterize crystal structure, particle size, thickness and function groups of the nanosheets. The nanosheets were examined for adsorption of methyl orange, an anionic dye, in aqueous solution at different pHs and temperatures. The maximum adsorption capacity of methyl orange on graphene oxide nanosheets obtained from the Langmuir isotherm was 138.69 mg/g at pH 2.0, which is larger than that of other carbonaceous adsorbents. The large adsorption affinity of graphene oxide nanosheets to methyl orange might be due to the presence of hydrogen bonding and π–π interaction between methyl orange and graphene oxide nanosheets. Adsorption kinetics followed a pseudo-second-order kinetic model, and the isotherm adsorption results were fitted with Langmuir isotherm model in a monolayer adsorption manner. The thermodynamic studies indicated that the adsorption reaction was a spontaneous physisorption process.     

Wavefield analysis of crosswell seismic data

Despite the numerous advantages of crosswell seismic data over surface seismic data, crosswell seismic geophysics is still underutilized and underdeveloped. The factors limiting the full utilization of crosswell data include the lack of standardized methods for processing and imaging the data. This is because crosswell data is not completely understood. To improve the understanding of crosswell data, we performed acoustic and elastic modeling of a west Texas carbonate oilfield data using finite difference methods and crosswell geometry. To account for the different wave modes in the field data, we decomposed the full data into its constituent wave modes. Results of the forward modeling show that elastic synthetic data is a better representation of crosswell field data than the popular acoustic synthetic data. Wavefield decomposition gave insight into the time-space kinematics behavior of the different wave modes that constitute the full data. Overall, the study improved our understanding of crosswell field data. The learning from this study has been utilized to perform data-driven reflection enhancement processing where the discerned characteristic of different seismic arrival is utilize to suppress unwanted and enhanced the desired wave modes. The processing reduced the complex data to only up-going P-P reflections that can be imaged to reveal the subtle geological structures of the oilfield.