Effect of high iron concentration enrichment on the phytoplankton in the Prydz Bay

1　IntroductionForthepast 1 5years,muchattentionofoceanographershasbeenfocusedontheroleofironinlimiting phytoplankton productivityinthehigh nutrient ,low chlorophyll(HNLC)regions.OnboardshipironenrichmentincubationshavebeencarriedoutinthethreewellknownHNLCregions :notablyequatorialPacificOcean ,subarcticPacificO ceanandSouthernOcean (seereferencesinTable 1 ) .Theinsituironenrichmentexper imentshavebeenaccomplishedintheequatorialPacific (IronEx1in 1 993 (Wells 1 994)andIronEx2in 1 996(…     

基于地理神经网络加权回归的中国PM2.5浓度空间分布估算方法

中国空气污染问题日益严重,为获得连续的PM_2.5浓度空间分布,现有研究建立了多种基于统计回归的PM_2.5估算模型。然而,由于PM_2.5回归关系显著的空间非平稳性和复杂的非线性特征,如何实现高精度、高合理性的PM_2.5浓度空间大面估计仍然面临挑战,尤其在地形变化复杂、覆盖范围广阔的中国地区更为突出。本文引入了一种将普通线性回归（OLR）和神经网络结合的地理神经网络加权回归（GNNWR）模型,通过集成遥感数据、气象数据和地理信息数据建立了基于GNNWR的PM_2.5浓度空间估算方法。文章以中国2017年PM_2.5年平均浓度估算为例,开展了该模型与OLR、地理加权回归（GWR）的比较实验。实验结果表明,基于GNNWR的PM_2.浓度估算性能指标均明显优于OLR和GWR,且预测精度显著高于GWR。此外,GNNWR获得的PM_2.5浓度空间分布也更为合理,较为细致地刻画了中国地区PM_2.5浓度的局部空间变化和细节层次。     

Concentrations and Distribution of Trace Metals of PM_(10) and TSP Particles Collected in the Qingdao Area

Aerosol samples of PM10 (particulate matter with aerodynamic diameters less than 10μm) and TSP (total suspended particles) were simultaneously collected from April 2001 to March 2002 at the top of Mount Baguan on the downtown campus of Ocean University of China, Qingdao, China. The concentrations of Al, Fe, Mn, Cu, Pb and Zn were determined by means of inductively coupled plasma atomic emission spectrometry (ICP-AES). The monthly variability of the mass concentrations of aerosol particles and the concentrations of trace metals are presented and discussed. The distribution pattern of these metals in PM10 and TSP is also discussed. During the observation period, the mass concentration of PM10 at this site ranged from 13.80 to 306.42μgm-3 , while that of TSP ranged from 31.02 to 568.82μgm-3. Both PM10 and TSP reached their highest concentrations in springtime, while the lowest values occurred in summertime. The concentrations of crustal metals followed the same variation pattern, while those of anthropo     

上海夏季雾霾的影响因素研究

由于对流层中气象因素变化剧烈且蕴含大量的水蒸气和颗粒物,雾霾的发生也极易改变卫星信号的传播路径,从而导致对流层延迟发生变化,因此重点研究气象因素与雾霾之间的相关性问题。通过上海市2016年62 d(DOY 153～214)的大气中污染物含量资料与天顶对流层延迟比较分析发现,大气中每种污染物含量基本呈现相似的走势,天顶对流层延迟随PM2.5含量增加而增大,且在日值数据的比较中发现,上海夏季的PM2.5含量与气压、气温和相对湿度成正相关关系,与风速、降水量呈负相关关系。     

基于小波变换的河北省GPS PWV与PM2.5的相关性分析研究

以2014-01~03的河北省GPS和PM2.5观测数据为例,利用小波变换方法开展GPS水汽和PM2.5浓度的相关性分析。结果表明,低频系数重构的GPS水汽与PM2.5浓度序列较好地反映了两者之间的正相关特性;D7高频信号（128~256 h）及D7与D6高频信号（64~256 h）重构的GPS水汽与PM2.5浓度的相关性较原始序列的相关性有较大提高;对于持续7 d的重度雾霾过程,由第7层和第6层高频系数重构的GPS水汽序列与PM2.5浓度序列的相关性达到0.890;不同时刻水汽变化对PM2.5浓度观测的影响,在水汽变化波动较大时段,水汽与PM2.5浓度的相关性为正;对于水汽变化波动较小时段,由于水汽与PM2.5浓度峰值时刻的差异,水汽与PM2.5浓度序列的相关性则不明显。     

基于小波分析的GPS PWV与PM2.5比较研究

通过比较2013-11~12的BJNM站点GPS PWV序列与天坛站点PM2.5浓度序列发现,两者的相关系数大于0.535,sig值小于0.01,存在显著的正相关特性;基于小波分析方法剔除高频噪声、细微扰动和小尺度系统影响的第4层低频系数重构的PWV序列与PM2.5序列的相关性达到0.749;高频系数重构的PM2.5序列与PWV序列的相关性达到0.839,更能反映两者的正相关特性。     

成都市PM_(2.5)浓度时空变化特征及影响因子分析

近年来,空气质量问题日渐突出,大气污染已严重影响了人们的身体健康和日常生活。为了探究成都市近年来的大气污染状况,分析大气颗粒物浓度的时空变化特征及其控制性因子,本文利用2016年成都市逐小时PM_(2.5)监测数据,分析成都市PM_(2.5)浓度时空变化特征,探索气象因子与城市空间形态因子(建筑错落度)对PM_(2.5)浓度变化的影响。结果表明:(1)成都市PM_(2.5)浓度的日变化特征表现为城市中心具有"单峰单谷"特征,而城市郊区日变化特征不明显。且城市中心PM_(2.5)浓度空间变化特征整体表现为由西北向东南逐渐减小的趋势。(2)从全年来看,成都市PM_(2.5)浓度与气温和风速均呈显著负相关,与海平面气压呈显著正相关,而与相对湿度的相关性不明显。(3)PM_(2.5)浓度日间变化率与城市空间形态因子的相关性较强,建筑错落度越高,PM_(2.5)浓度下降越快。     

Size distributions and source function of sea spray aerosol over the South China Sea

The number concentrations in the radius range of 0.06 – 5 μm of aerosol particles and meteorological parameters were measured on board during a cruise in the South China Sea from August 25 to October 12, 2012. Effective fluxes in the reference height of 10 m were estimated by steady state dry deposition method based on the observed data, and the influences of different air masses on flux were discussed in this paper. The number size distribution was characterized by a bimodal mode, with the average total number concentration of(1.50 ± 0.76)×10~3 cm~(-3). The two mode radii were 0.099 μm and 0.886 μm, both of which were within the scope of accumulation mode. A typical daily average size distribution was compared with that measured in the Bay of Bengal. In the whole radius range, the number concentrations were in agreement with each other; the modes were more distinct in this study than that abtained in the Bay of Bengal. The size distribution of the fluxes was fitted with the sum of log-normal and power-law distribution. The impact of different air masses was mainly on flux magnitude, rather than the shape of spectral distribution. A semiempirical source function that is applicable in the radius range of 0.06 μmr_(80)0.3 μm with the wind speed varying from 1.00 m s~(-1) to 10.00 m s~(-1) was derived.     

Impact of Urban 3D Morphology on Particulate Matter 2.5(PM_(2.5)) Concentrations:Case Study of Beijing,China

Urban particulate matter 2.5(PM_(2.5)) pollution and public health are closely related, and concerns regarding PM_(2.5) are widespread. Of the underlying factors, the urban morphology is the most manageable. Therefore, investigations of the impact of urban three-dimensional(3D) morphology on PM_(2.5) concentration have important scientific significance. In this paper, 39 PM_(2.5) monitoring sites of Beijing in China were selected with PM_(2.5) automatic monitoring data that were collected in 2013. This data set was used to analyze the impacts of the meteorological condition and public transportation on PM_(2.5) concentrations. Based on the elimination of the meteorological conditions and public transportation factors, the relationships between urban 3D morphology and PM_(2.5) concentrations are highlighted. Ten urban 3D morphology indices were established to explore the spatial-temporal correlations between the indices and PM_(2.5) concentrations and analyze the impact of urban 3D morphology on the PM_(2.5) concentrations. Results demonstrated that road length density(RLD), road area density(RAD), construction area density(CAD), construction height density(CHD), construction volume density(CVD), construction otherness(CO), and vegetation area density(VAD) have positive impacts on the PM_(2.5) concentrations, whereas water area density(WAD), water fragmentation(WF), and vegetation fragmentation(VF)(except for the 500 m buffer) have negative impacts on the PM_(2.5) concentrations. Moreover, the correlations between the morphology indices and PM_(2.5) concentrations varied with the buffer scale. The findings could lay a foundation for the high-precision spatial-temporal modelling of PM_(2.5) concentrations and the scientific planning of urban 3D spaces by authorities responsible for controlling PM_(2.5) concentrations.     

不同季节的北京市GPS可降水量与PM_(2.5)/PM_(10)的比较研究

通过北京市2013年的PM2.5/PM10资料与GPS可降水量资料比较发现,在秋冬春季节,PM2.5/PM10与GPS可降水量呈明显的正相关性,相关系数大于0.5,在个别时段达到了0.89,而这一相关性在降水较多的夏季并不明显;水汽含量的上升是秋冬春季节雾霾天气过程发生的重要因素。     

基于WPA-WOA-BP神经网络的PM2.5浓度预测

针对传统BP神经网络存在的学习速度慢、易陷入局部极值等问题,利用鲸鱼优化算法(WOA)以及狼群算法(WPA)混合优化BP神经网络的权值和阈值,构建WPA-WOA-BP神经网络模型,并对PM2.5浓度进行预测.实验结果证明,WPA-WOA-BP神经网络模型预测稳定性高,可用于PM2.5浓度的预测,且预测精度优于BP神经网...     

The Seasonal Variabilities in the Concentration of Atmospheric Aerosols over Qingdao, China

Mass concentrations of Total Suspended Particles （TSP） and size-segregated particles were obtained from July 2001 to June 2002 in Qingdao to characterize the seasonal variations of atmospheric aerosols and to show the impact of dust events on the air quality in Qingdao. Data on size-segregated aerosols show that 73.74% of the TSP mass concentration is contributed by particles with diameters less than 11 μm. Particles with diameters less than 1.1μm have a higher concentration during the winter. In spring, larger particles tend to have higher mass concentrations. Bimodal particle size distributions have been observed, with maxima around 4.7-7 μand 0.43-0.65 μm in the winter season, and 7-11 μm and 0.65-1.1 μm in the autumn season. Measurements made during the dust events in March 2002 show high concentrations of particles in the size range 2.1-7μm.     

CryoSat DEM与多种南极DEM的对比分析

南极洲被巨厚冰雪覆盖,地质构造以南极横断山脉为界,总体分为东南极地盾和西南极活动带。数字高程模型（DEM）是研究南极冰盖变化的基础数据之一。通过多期次数字高程模型相比较获得高程的变化信息,是分析南极冰盖厚度变化和物质平衡的重要手段。然而不同类型DEM之间存的平面误差和垂直误差影响分析结果的精度。首先利用配准消除DEM间的水平误差,然后计算并按坡度提取CryoSat DEM与其他DEM的平均高程差和标准差,最后分析高程差的时空变化特征。通过分析发现,DEM之间存在不同的平面误差。其中TanDEM_X DEM与CryoSat DEM的高程平面偏差最小,而ICESat DEM与CryoSat DEM的高程平面偏差最大。在垂直方向上,0°~1°的坡度范围内,CryoSat DEM与TanDEM_X DEM的平均高程差在3.5~5.5 m之间,标准差小于18.0 m;CryoSat DEM和Bamber 1km DEM的平均高程差在-2.5~+1.0 m之间,标准差小于24.2 m;CryoSat DEM与ICESat DEM的平均高程差在-25.0~-1.0 m之间,标准差小于47.2 m;CryoSat DEM与RAMPv2 DEM的平均高程差在1.3~3.2 m之间,标准差小于45.6 m。通过研究发现南极冰盖内部高程增加,但西南极冰盖和东南极冰盖高程均在降低,且西南极降低明显,同时南极边缘地区高程降低明显。本研究为全球变化研究和南极物质平衡研究提供了重要参考。      

Experimental Research on Quantitative Inversion Models of Suspended Sediment Concentration Using Remote Sensing Technology

Research on quantitative models of suspended sediment concentration(SSC)using remote sensing technology is very important to understand the scouring and siltation variation in harbors and water channels.Based on laboratory study of the relationship between different suspended sediment concentrations and reflectance spectra measured synchronously,quantitative inversion models of SSC based on single factor,band ratio and sediment parameter were developed,which provides an effective method to retrieve the SSC from satellite images.Results show that the b1(430-500nm)and b3(670-735nm)are the optimal wavelengths for the estimation of lower SSC and the b4(780-835nm)is the optimal wavelength to estimate the higher SSC.Furthermore the band ratio B2/B3 can be used to simulate the variation of lower SSC better and the B4/B1 to estimate the higher SSC accurately.Also the inversion models developed by sediment parameters of higher and lower SSCs can get a relatively higher accuracy than the sin-gle factor and band ratio models.     

In-situ studies of microzooplankton grazing pressure on phytoplankton in Jiaozhou Bay, China

Preliminary studies on microzooplankton grazing were conducted with dilution method in Jiaozhou Bay from summer 1998 to spring 1999. Four experiments were carried out at St. 5 located at the center of Jiaozhou Bay. Chlorophyll a concentrations were consistently dominated by netphytoplankton (net-, >20μm), except during the autumn 1998 cruise, when they were dominated by nanophytoplankton(nano-, 2–20μm). The contribution of picophytoplankton (pico-, <2μm) to total chlorophyll a concentrations (<200μm) varied considerably between cruises. Instantaneous growth coefficients(u) of phytoplankton varied from 0.098 to 1.947d⁻¹, with mean value of 0.902d⁻¹. Instantaneous coefficients(g) of microzooplankton grazing on phytoplankton ranged from 0.066 to 0.567d⁻¹, mean value of 0.265d⁻¹, which was equivalent to daily lose of 21.9% of the initial standing stock and 58.1% of the daily potential production. Project No KZCX3-SW-214 supported by Chinese Academy of Sciences.     

闽东南沿海地区景观指数粒度效应的高分辨率遥感分析

以闽东南沿海地区3个流域SPOT 5影像解译所得的土地覆被类型分布图为原始矢量数据,通过优势规则聚合为一系列不同粒度大小的栅格类型图,统计各粒度下28种常用景观指数值;采用尺度检测图分析各种景观指数的粒度变化响应规律,对比中分辨率数据与高分辨率数据所建立尺度函数的差异,评价预测响应型指数尺度下推的相对误差。结果表明：闽东南沿海地区景观指数的粒度效应明显,可分为预测响应型、分段预测型、阶梯变化型和波动变化型4类,其中分段预测型指数由已有报道的预测响应型分化而来,其尺度转折点位于5 m 、7.5 m或10 m等粒度下,即高分辨率影像对景观指数粒度效应的分类有重要影响。在预测响应型指数中,高分辨率影像对ED、SHAPE_MN、CONTIG_MN和AI 4种指数的尺度函数影响较大,由中分辨率数据所建立的尺度函数进行尺度下推,会带来较大误差;这些指数的区域差异性也较大,对同一指数来说,不同区域可选用不同的尺度函数进行尺度下推。     

Generation of reactive oxygen species in different fractions of the coelomocytes of holothurian Eupentacta fraudatrix in response to the thermostable toxin of Yersinia pseudotuberculosis in vitro

Pure fraction (92%–95%) of phagocytes (FP) and a mixture of amoebocytes (62%) and morula cells (38%)-FPMC- of the holothurianEupentacta fraudatrix' (Holothuroidea, Dendrochirota) were obtained by using ficoll-verographine step gradient. Basal production of reactive oxygen species (ROS) in FP quantified by using reduction of nitroblue tetrazolium (NBT) was more than twice that in FPMC. Thermostable toxin ofYersinia pseudotuberculosis (TST) at different concentrations (0.2; 0.5; 2.5 μg/ml, but not 0.1 μg/ml) stimulated NBT reduction in FPMC after 24 h incubation. In FP, TST at concentrations of 0.1 and 0.2 μg/ml inhibited and at concentrations of 0.5 and 2.5 μg/ml stimulated NBT reduction after 24 h incubation. Maximal effect was observed in FP and FPMC at TST concentrations of 0.5 and 0.2 μg/ml, respectively. Addition of catalase (0.7 μg/ml) to the cells treated with TST (2.5 μg/ml) was followed by a decrease in NBT reduction compared to that under toxin treatment alone. TST stimulated superoxide dismutase activity in concentration-dependent manner (maximum at 0.5 μg/ml concentration in FP) after 24 h treatment, and this stimulation was prevented by a commercial catalase. Plant lectin concanavalin A stimulated NBT reduction more than 5-fold in FPMC compared to the control. With addition of TST, lectin stimulated ROS to lesser extent than that with lectin alone. When catalase, TST, and lectin were added into the FPMC simultaneously, ROS increase was similar to that under lectin treatment alone. On the whole, data obtained indicated that ROS generation in holothurian coelomocytes especially occurs in both stimulated and not stimulated phagocytes, and that changes in ROS production by these cells may be one of the mechanisms of antibacterial protection of holothurians. This work was financially supported by the Russian Foundation for Fundamental Research Grant (No. 00-04-48949).     

饮水质量的临界致病因子分析

通过建立和求解一个地区饮水水溶液模型可获得标准致病水与非致病水的各种化学组份活度。使用以所有水溶组份活度为变量的多元逐步判别分析,确定出临界致病因子,能有效地进行水质判别。通过对某氟中毒地区饮水实例研究表明,临界致病因子分析法是成功的,并经对水中总氟浓度按照临界致病因子的分解,发现总氟浓度在一定区间内无法用来判别水质。这一区间的存在说明,为什么制定适宜的饮水总氟浓度标准是困难的。     

Impacts of Migration on Urban Environmental Pollutant Emissions in China: A Comparative Perspective

In recent years,researchers have devoted considerable attention to identifying the causes of urban environmental pollution.To determine whether migrant populations significantly affect urban environments,we examined the relationship between urban environmental pollutant emissions and migrant populations at the prefectural level using data obtained for 90 Chinese cities evidencing net in-migration.By dividing the permanent populations of these cities into natives and migrants in relation to the population structure,we constructed an improved Stochastic Impacts by Regression on Population,Affluence and Technology model(STIRPAT)that included not only environmental pollutant emission variables but also variables on the cities’attributes.We subsequently conducted detailed analyses of the results of the models to assess the impacts of natives and migrants on environmental pollutant emissions.The main findings of our study were as follows:1)Migrant populations have significant impacts on environmental emissions both in terms of their size and concentration.Specifically,migrant populations have negative impacts on Air Quality Index(AQI)as well as PM2.5 emissions and positive impacts on emissions of NO2 and CO2.2)The impacts of migrant populations on urban environmental pollutant emissions were 8 to 30 times weaker than that of local populations.3)Urban environmental pollutant emissions in different cities differ significantly according to variations in the industrial structures,public transportation facilities,and population densities.