基于气象卫星分形纹理的云雾分离研究

在研究了卫星图像上雾的光谱和纹理结构特征的基础上,采用差分盒维数计算模型对气象卫星遥感图像中的云雾进行了纹理分析和分离。采用划分、计算卫星图像各连通域,分别求取各连通域加权分形维数,进而设定维数阈值的方法进行了雾信息提取。利用GMS—5卫星红外通道资料,进行了云雾分离试验,取得了较好的雾信息提取效果。     

Atmospheric Loadings,Concentrations and Visibility Associated with Sandstorms: Satellite and Meteorological Analysis

This Korea-China study monitored the phenomena of sandstorms and significant dustfall (SD) from 1997 to 2000. The analysis of our data included ground measurements of dust concentration, visibility, satellite imagery, aircraft and lidar observations. In addition, an estimation of atmospheric loadings and a studyon the relationship between dust concentrations and visibilitywere carried out. The movement and invasion of dust clouds toKorea were clearly identified with meteorological and satellitedata. The increasing concentrations of TSP and PM₁₀ concurredwell with the satellite information. From case studies, weestimated that atmospheric loadings of a dust cloud were over 1million ton and that the deposition over the Korean Peninsulawas in the range from 46 000 to 86 000 tons. For SD withvisibility of 3 km, we predict TSP 659 g m^-3 and PM₁₀ 493 g m^-3. We recommend the issuance of an SD Watch(advisory) and an SD Warning for the general public.     

Improvements in Air Quality Modelling by Using Surface Boundary Layer Parameters derived from Satellite Land Cover Data

Many atmospheric dispersion models include only simpletreatment of surface features to estimate the wind profilesand stability parameters. Detailed characterisation of theland cover, particularly in large and complex urbanconurbations, is especially important, as the surfacefeatures can vary significantly over the area. This paperdiscusses the use of satellite land cover data to derivespatially resolved surface boundary layer (SBL) parameters.These parameters have been used in an air quality model,PEARL (Prediction Air Quality in Urban and RegionalLocations) for estimating monthly and annual COconcentrations. Land cover data, derived from LANDSATThematic Mapper Imagery, has been used to estimate SBLparameters (surface roughness length, albeedo, Bowen ratioand anthropogenic heat flux) for a study area of 10000km² encompassing Greater London and the surroundingcounties. The SBL parameters have been assigned according tomajor land cover types for the whole area at a spatialresolution of 1 × 1 km. Predictions from two versions of the PEARL model (one with land cover data and one without)have been compared with each other and with measured data forannual and monthly CO concentrations from seven London airquality monitoring sites. This comparison shows thatdifferences between predicted and observed values can bereduced by up to a factor of three. The use of SBLparameters derived from land cover data also yields moredetailed predicted annual CO spatial patterns especially inand around suburban areas. The performance of both versionsof the model for monthly CO concentrations has been comparedwith a range of statistical measures. This comparisonconfirms that improved agreement is observed betweenmodelled and measured monthly CO concentrations when use ismade of spatially resolved SBL parameters.     

Contamination of antibiotic resistance genes (ARGs) in a typical marine aquaculture farm: source tracking of ARGs in reared aquatic organisms

Abstract

Although the prevalence and concentrations of antibiotic resistance genes (ARGs) in aquaculture is receiving increasing scientific interest, there is little understanding of the direct sources and dissemination pathways of ARGs in marine aquaculture-reared organisms. This study investigated the dynamics of ARGs and the bacterial community throughout the rearing period in a typical marine aquaculture farm in South China. The results demonstrated that sul1 and qnrD were predominant in the sediment, and qnrD and qnrA were predominant in the intestinal tracts of shrimps. Network analysis showed that the chemical oxygen demand, total organic carbon, dissolved organic carbon, suspended solids, and total phosphorus were positively correlated with the predominant ARGs. The results of the network and source tracking analyses indicate that environmental factors and the bacterial community may drive the dissemination of ARGs dissemination in the environment and in shrimp reared by marine aquaculture, and sediment is the most direct and important medium in this dissemination. These results aid in improving our understanding of the sources, level, and dissemination of ARGs in marine aquaculture.     

Development and Integration of Quantitative Real-Time PCR Methods for Detection of Mitochondrial DNA and Methanobrevibacter smithii nifH Gene as Novel Microbial Source Tracking Tools

A novel microbial source tracking (MST) method based on the detection of human and non-human markers was developed and applied to track the origin of fecal pollution in water systems. Mitochondrial DNA sequences were used to develop new quantitative real-time polymerase chain reaction (qPCR) assays for dog, poultry, and gull. The targets were included as part of a toolbox including human, cow, pig, and sheep assays. A primer and probe set for the detection of the human-specific nifH gene of Methanobrevibacter smithii was also designed as an indicator of human fecal contamination. The assays were tested for specificity and applied to fecal-spiked surface waters and environmental samples collected from two river catchments impacted by sources of human and non-human fecal contamination. The MST methods described were applicable to both spiked waters and environmental samples, and using the two approaches the origin of fecal pollution could be successfully determined in mixed source fecally polluted waters.     

香港近海海域叶绿素a定量反演及时空变化分析

以2009~2019年HJ-1A/B卫星多光谱数据和对应日期的实测数据为数据源,通过预处理提取出各波段组合反射率并与实测叶绿素a浓度数据进行统计相关性分析,选取相关性最高的波段组合作为特征变量与2/3的实测叶绿素a浓度数据进行建模,并用剩下的1/3实测叶绿素a浓度数据进行精度验证以确定最佳遥感反演模型,最后根据最佳反演模型对2009-2019年的香港近海海域叶绿素a浓度进行反演,明晰该海域近10年的叶绿素a浓度时空变化特征.结果表明：利用HJ-1A/B卫星多光谱数据反演香港近海海域叶绿素a浓度的最佳波段组合为第3波段和第2波段比值（B3/B2）,相关系数（r）为0.893;最佳反演模型为利用B3/B2构建的e指数回归模型（Chl=0.004e^6.693(B3/B2)）,决定系数（R²）为0.934,均方根误差（RMSE）为0.255μg/L,平均相对误差（RPD）为25%;近10年香港近海海域的叶绿素a浓度时空变化特征：空间上整体呈现“东高西低,由东向西逐渐减小”的分布特征,西部海域比东部海域平均浓度低5μg/L左右;2017年内呈“春低秋高,夏升冬降”的随季节变化特点,其中秋季最高,夏春两季次之,冬季最低.     

Implications of network particle tracking (NPT) for ecological model interpretation

Network particle tracking (NPT), building on the foundation of network environ analysis (NEA), is a new development in the definition of coherence relations within and between connected systems. This paper evaluates three ecosystem models in a comparison of throughflow- and storage-based NEA and NPT. Compartments in models with high indirect effects and Finn cycling showed low correlation of NEA storage and throughflow with particle repeat visits and numbers of particles in compartments at steady state. Conversely, the correlation between NEA and NPT results was high with two models having lower indirect effects and Finn cycling. Analysis of ecological orientors associated with NEA showed NPT to fully support conventional NEA results when the common conditions of donor control and steady state are satisfied. Particle trajectories are recorded in the new concept of a particle “passport”. Ability to track and record particle in-system histories enables views of multiple scales and opens the possibility of making pathway-dependent modeling decisions. NPT may also enable modeling of time, allowing integration of Newtonian, organismal and stochastic modeling perspectives in a single comprehensive analysis.     

Foraging areas of king penguins from Macquarie Island in relation to a marine protected area

Twenty-three king penguins (Aptenodytes patagonicus) from Macquarie Island were tracked by satellite during the late incubation period in 1998–1999 to determine the overlap of the foraging zone of king penguins with an area to be declared a marine protected area (MPA) near the island. While all penguins left the colony in an easterly direction and traveled clockwise back to the island, three penguins foraged in the northern parts of the general foraging area and stayed north of 56°S. The remaining 20 penguins ventured south and most crossed 59°S before returning to the island. The total foraging area was estimated to be 156,000 km² with 36,500 km² being most important (where penguins spent >150 hr in total). North-foraging penguins reached on average 331 ± 24 km from the colony compared to 530 ± 76 km for the south-foraging penguins. The latter traveled an average total distance of 1313 ± 176 km, while the northern foragers averaged 963 ± 166 km. Not only did the penguins spend the majority of their foraging time within the boundaries of the proposed MPA, they also foraged chiefly within the boundaries of a highly protected zone. Thus, the MPA is likely to encompass the foraging zone of king penguins, at least during incubation.     

Using historical spy satellite photographs and recent remote sensing data to identify high-conservation-value forests

High-conservation-value forests (HCVFs) are critically important for biodiversity and ecosystem service provisioning, but they face many threats. Where systematic HCVF inventories are missing, such as in parts of Eastern Europe, these forests remain largely unacknowledged and therefore often unprotected. We devised a novel, transferable approach for detecting HCVFs based on integrating historical spy satellite images, contemporary remote sensing data (Landsat), and information on current potential anthropogenic pressures (e.g., road infrastructure, population density, demand for fire wood, terrain). We applied the method to the Romanian Carpathians, for which we mapped forest continuity (1955–2019), canopy structural complexity, and anthropogenic pressures. We identified 738,000 ha of HCVF. More than half of this area was identified as susceptible to current anthropogenic pressures and lacked formal protection. By providing a framework for broad-scale HCVF monitoring, our approach facilitates integration of HCVF into forest conservation and management. This is urgently needed to achieve the goals of the European Union's Biodiversity Strategy to maintain valuable forest ecosystems.     

云南省气溶胶光学厚度时空变化特征的遥感研究

利用中分辨率成像光谱仪(MODIS)的气溶胶产品研究云南省气溶胶光学厚度(AOT)的时空变化特征。研究结果表明:在长时间尺度上,区域月平均AOT没有明显的增长趋势,年平均值大约为0.19,反映了人为活动排放进入大气的气溶胶没有明显的增加;月平均AOT的变化呈双峰分布特征,2个峰值分别出现在3、8月,AOT大约为0.35±0.08和0.31±0.05,5月出现明显的谷值(0.20±0.03),AOT减少的原因可能是该地区降水增多,大量的降水可以清除大气中的气溶胶粒子,最小值常出现在1月或12月,AOT大约为0.09±0.02。在空间上,云南省AOT普遍较低,年平均值的空间分布为0~0.4,低值区出现在西北部的迪庆州、怒江州和丽江市;AOT高值区分布在云南省的南部和东北部地区,3月AOT值最大可达0.80以上,南部和北部差值达到0.60以上,8月AOT的高值区主要出现在中部的玉溪市红河州北部、玉溪市和昆明市。云南省AOT北高南低分布格局的原因主要是北部地区人为气溶胶排放较少,另外,由于地形的影响,北部地区风速较大,气溶胶停留在大气中的时间较短,AOT较小。