北京市MODIS气溶胶光学厚度与PM_(10)质量浓度的相关性分析

利用北京地区2012年1—12月NASA MODIS气溶胶光学厚度(AOD)和通过空气污染指数(API)转换得到的PM10质量浓度进行了相关性分析.结果发现,二者的直接相关程度较低,在引入季节变化的气溶胶标高且考虑了气溶胶的垂直分布后,进行标高订正,二者的相关系数有所提高;在考虑了湿度影响因子后,进行湿度订正,二者的相关系数显著提高;引入平均风速、平均气温和平均气压等气象因素,进行多元回归分析,相关系数进一步提高.证实了卫星遥感气溶胶光学厚度在经过垂直和湿度订正并考虑气象因素的情况下,可以作为监测北京地区颗粒物污染物地面分布的一个有效手段.     

城市土地利用类型与PM2.5浓度相关性研究——以武汉市为例

随着我国工业化的不断发展,在我国的主要经济发展地区的雾霾天气不断爆发,使我国的大气环境日益恶化,严重影响了人们的日常生活和身体健康。PM2.5作为雾霾的重要组成成分,也日渐成为环境领域的研究热点问题。随着全球性变化研究领域逐渐加强了对土地利用与生态环境的相关研究,因此无论从法律和社会经济发展的角度,还是从生态资源保护与环境可持续发展的角度,土地利用与PM2.5的相关研究都显得相当重要。研究目的:分析武汉市各类用地类型与PM2.5浓度的相关性程度。研究方法:使用ENVI与ArcGIS对武汉市2013年MODIS气溶胶产品进行空间分析与插值处理,再应用SPSS将其与武汉市2013年10个观测点的PM2.5浓度数据作相关性分析,以证实MODIS气溶胶厚度与PM2.5浓度的相关性,并建立两者的线性回归方程,然后利用计算后的武汉市整体PM2.5浓度分布与各土地利用类型进行相关性研究。研究结果:武汉市PM2.5浓度有明显的空间分布特征,绿化面积比例与PM2.5浓度呈显著负相关,建设用地面积比例与PM2.5浓度呈显著正相关,未利用地面积比例虽然与PM2.5浓度呈正相关,但相关性较低,而耕地与水体对PM2.5浓度没有显著影响。研究结论:土地利用类型对武汉市PM2.5浓度的分布有显著的影响,其与搭载MODIS传感器的遥感卫星监测方式的结合能成为研究大范围特定区域PM2.5浓度空间格局的新方法,并且增加城市绿化面积,控制建设用地规模能有效减少PM2.5浓度。     

基于环境一号卫星的四川盆地气溶胶光学厚度精细化反演

四川盆地为中国灰霾形势较为严重的区域之一,对四川盆地大气灰霾的监测具有十分重要的意义。利用环境一号卫星数据,对能表征大气污染程度的气溶胶光学厚度进行了反演。提出了用EVI植被指数判定暗像元精细化反演气溶胶光学厚度的方法,该方法能较好地去除部分大气影响,气溶胶光学厚度反演结果与CE318的气溶胶光学厚度结果相关性较高,误差较小,具有较高的精度,反演结果满足精细化要求。反演结果表明,四川盆地内有德阳、成都、眉山和乐山4个气溶胶光学厚度高值区,该高值区呈带状分布且与四川盆地的地形密切相关。     

塔里木河下游输水间歇地下水埋深及化学组分的变化

基于适时监测资料,对塔里木河下游2006年11月第11次输水停止后地下水埋深和地下水化学特征时空变化进行分析总结,结果发现,塔里木河下游上段地下水埋深自2007年3月～2009年9月呈增加变化,地下水主要离子含量以增加变化为主;中段地下水埋深呈增加变化,但主要离子的含量以下降变化为主要特征;下段地下水埋深从2008年8月起呈减小变化趋势,地下水中主要离子含量随地下水位的上升而增加.在各断面距离输水河道远处,地下水埋深变化首先与断面距离水源地大西海子水库的远近有关,距离大西海子水库较近的英苏断面在输水间歇地下水埋深呈增加变化,但变化幅度不大;喀尔达伊断面地下水埋深在输水间歇以增加变化为主;阿拉干和考干断面地下水埋深在2008年8月以后才开始受到输水的影响,地下水化学特征的变化则表现出较复杂的变化.     

Johnson & Ettinger模型和Volasoil模型在污染物室内挥发风险评价中的应用和比较

在土壤污染和地下水污染的现场,挥发过程是挥发性污染物暴露的重要途径.设置典型土壤污染场景作为研究对象,选取Johnson&Ettinger模型和Volasoil模型进行室内挥发过程的模拟和暴露浓度的计算.对两个模型中污染物的运移机理进行了比较和分析.尽管方法和参数选择有所不同,二者对污染源处三相平衡浓度的计算本质上是一致的.暴露浓度的计算结果表明,两个模型对室内挥发过程的模拟可能会有较大差异,与污染现场的具体情况有关.参数影响的分析表明,污染源顶部埋深对二者暴露浓度的影响一致,Johnson&Ettinger模型对污染土壤含水率的大小非常敏感.建议考虑房屋结构的实际情况,选用或者改进模型进行室内挥发过程的评价.     

博斯腾湖夏季水下光场特征分析及影响因素探讨

2011年8月,在新疆博斯腾湖17个站点进行水样采集,同步对11个站点进行水下光场原位测定.结果发现,博斯腾湖夏季总颗粒物吸收系数光谱表现出明显的浮游植物吸收特征,而浮游植物光谱曲线有明显的硅藻吸收光谱特征.在光合有效辐射波段,有色可溶性有机物（CDOM）吸收系数与浮游植物吸收系数对总吸收的贡献相当,而非色素颗粒物对总吸收的贡献最低.水下光谱衰减系数的最小值出现在580nm左右的绿光波段,PAR漫射衰减系数平均值为0.53m-1,平均真光层深度约为9.69m,大于湖水平均深度.在博斯腾湖虽然纯水和CDOM在总吸收中占有很重要的部分,但主导漫射衰减的因子仍为颗粒物.通过本文研究,以期能为干旱地区湖泊环境保护和水质遥感监测提供数据和理论基础.     

香溪河库湾水质特征与非回水区水华响应关系

为探究香溪河在受倒灌影响较弱的河段水华暴发征兆及机理,于水华高发期5~8月对香溪河进行监测,分析电导率、水温、叶绿素a（Chl-a）以及流速.结果表明,在6~8月,香溪河倒灌现象于XX05点（峡口镇）处基本结束,XX06~XX09受倒灌来水影响较弱;香溪河于7月暴发水华,各个监测点位上Chl-a含量均值达到100μg/L以上,XX05~XX06与XX07-XX09点位上暴发不同种水华;在水华暴发前后,水体温度无显著变化,且并无明显分层现象,说明水温分层是水华暴发的主要原因这一理论并不能很好的适用于非回水区;通过对电导率数值的研究发现,数值在垂向上出现显著拐点,而拐点出现在临界层与光补偿层之间,同时与叶绿素a含量分布呈现显著负相关性.香溪河总氮（TN）、总磷（TP）平均值为1.849mg/L和0.157mg/L,均超过富营养化的阈值,水体氮磷含量与Chl-a浓度无显著相关性,水体中除N、P营养盐外的其它离子对香溪河水华的暴发起着重要作用.在水华消退后,电导率数值又逐渐恢复表层高底层低的垂向线性分布特性,与水华的暴发、消退有着明显的响应.     

区域地下水不同深度微生物群落结构特征

为了揭示区域地下水不同深度微生物群落结构特征及其与地下水环境相互作用关系,选取北京琉璃河地区,采集不同深度地下水样品,用于水化学分析和微生物16S rRNA基因V4-V5区测序.水化学分析结果显示,地下水中8种主要离子浓度随深度增加均呈减小趋势,Cl^-、SO₄^2-、NO₃^-变化规律显著,工业较发达区NO₃^-浓度达155.30mg/L,SO₄^2-浓度达321.00mg/L,部分浅层地下水受NO₃^-和SO₄^2-污染.微生物分析结果显示,地下水中微生物群落多样性受深度影响显著,随深度增加微生物群落组成丰富.地下水中优势菌门为Proteobacteria （26.2%~95.2%）,优势菌属为Pseudomonas（1.5%~32.2%）,不同深度微生物菌属组成差异明显,浅层、中层和深层地下水特有菌属数目分别为74,60,54.NO₃^-、SO₄^2-、深度是影响地下水微生物群落的主要因子,且NO₃^-、SO₄^2-浓度受地下水深度影响程度大.地下水深度是影响微生物群落结构差异的重要原因.     

Vallisneria natans decomposition rates and associated macroinvertebrates,microbes and microalgae along a vertical depth gradient in an urban lake (Nanhu Lake,China)

Knowledge on aquatic macrophyte decomposition has well developed, yet the decomposition and associated biotic factors along a vertical gradient in waters remain less examined. Here, we used Vallianeria natans leaves to investigate the decomposition rate and associated decomposers and microalgae at different vertical depths, by placing V. natans leaves into litterbags (0.5 and 5?mm meshes) and incubating them at the air–water interface (AW), sediment-water (SW) interface, and 10?cm (B10) or 20?cm (B20) burial in sediment over 60 days in a littoral zone of lake. Decomposition rates decreased with increased depths in each mesh size, with significant differences among and between AW (0.028?d^?1), SW (0.022?d^?1), B10 (0.014?d^?1) and B20 (0.011?d^?1) treatments in 0.5?mm litterbags and no significant difference between B10 (0.027?d^?1) and B20 (0.025?d^?1) in 5?mm litterbags. The average contribution of macroinvertebrates to biomass loss was highest in B20 (44.66%), lowest in AW (22.66%) and midst in both SW (25.35%) and B10 (38.78%), and was much less than that of both microbes and microalgae at each location. We show the importance of macroinvertebrates, microbes and microalgae in mediating macrophyte decomposition rate in response to different vertical locations in freshwaters.     

THOR dummy chest deflection response in oblique and lateral far-side sled tests

Abstract

Objective: The focus of this study is side impact. Though occupant injury assessment and protection in nearside impacts has received considerable attention and safety standards have been promulgated, field studies show that a majority of far-side occupant injuries are focused on the head and thorax. The 50th percentile male Test Device for Human Occupant Restraint (THOR) has been used in oblique and lateral far-side impact sled tests, and regional body accelerations and forces and moments recorded by load cells have been previously reported. The aim of this study is to evaluate the chestband-based deflection responses from these tests.

Methods: The 3-point belt–restrained 50th percentile male THOR dummy was seated upright in a buck consisting of a rigid flat seat, simulated center console, dashboard, far-side side door structure, and armrest. It was designed to conduct pure lateral and oblique impacts. The center console, dashboard, simulated door structure, and armrest were covered with energy-absorbing materials. A center-mounted airbag was mounted to the right side of the seat. Two 59-gage chestbands were routed on the circumference of the thorax, with the upper and lower chestbands at the level of the third and sixth ribs, respectively, following the rib geometry. Oblique and pure lateral far-side impact tests with and without airbags were conducted at 8.3 m/s. Maximum chest deflections were computed by processing temporal contours using custom software and 3 methods: Procedures paralleling human cadaver studies, using the actual anchor point location and actual alignment of the InfraRed Telescoping Rods for the Assessment of Chest Compression (IR-TRACC) in the dummy on each aspect—that is, right or left,—and using the same anchor location of the internal sensor but determining the location of the peak chest deflection on the contour confined to the aspect of the sensor; these were termed the SD, ID, and TD metrics, respectively.

Results: All deformation contours at the upper and lower thorax levels and associated peak deflections are given for all tests. Briefly, the ID metrics were the lowest in magnitude for both pure lateral and oblique modes, regardless of the presence or absence of an airbag. This was followed by the TD metric, and the SD metric produced the greatest deflections.

Conclusion: The chestbands provide a unique opportunity to compute peak deflections that parallel current IR-TRACC-type deflections and allow computation of peak deflections independent of the initial point of attachment to the rib. The differing locations of the peak deflection vectors along the rib contours for different test conditions suggest that a priori attachment is less effective. Further, varying magnitudes of the differences between ID and TD metrics underscore the difficulty in extrapolating ID outputs under different conditions: Pure lateral versus oblique, airbag presence, and thoracic levels. Deflection measurements should, therefore, not be limited to an instrument that can only track from a fixed point. For improved predictions, these results suggest the need to investigate alternative techniques, such as optical methods to improve chest deflection measurements for far-side occupant injury assessment and mitigation.