基于图像感兴趣区域融合特征的PM2.5浓度预测方法

通过图像预测PM_2.5浓度的准确性,在很大程度上取决于模型所选用的特征参数。为丰富特征参数的表达,设计了一种基于图像传统特征与深度特征充分融合的PM_2.5浓度预测方法。首先,根据不同PM_2.5浓度下的成像差异,选定图像感兴趣区域,解决图像尺寸过大导致的模型运算效率较低问题。然后,针对所选取的局部图像,利用传统图像处理方法手动设计并提取图像浅表视觉特征,同时利用卷积神经网络自动提取图像深层语义特征。最后,将两种特征融合,交由卷积神经网络的全连接层实现对PM_2.5浓度的回归预测。预测误差比对结果显示,相比使用单种特征,使用融合特征能够有效提高模型的预测性能。     

Spatiotemporal Features of Severe Air Pollution in Northern Taiwan (8 pp)

Background, Aims and Scope This research attempted to identify the dominant factors simultaneously affecting the airborne concentrations of five air pollutants with principal component analysis and to determine the meteorologically related parameters that cause severe air-pollution events. According to the definition of subPSI and PSI values through the U.S. EPA, the historical raw data of five criteria air pollutants, SO2, CO, O3, PM10 and NO2, were calculated as daily subPSI values. In addition to the airborne concentrations, this study simultaneous collected the surface meteorological parameters of the Taipei meteorological station, established by the Central Weather Bureau. Methods Principal component analysis was conducted to screen severe air pollution scenarios for five air pollutants: SO2, CO, O3, PM10 and NO2. The concentrations of various air pollutants measured at 17 air-quality stations in northern Taiwan from 1995 to 2001 were transformed into daily subPSI values. The correlation analysis of the five air pollutants and four meteorological parameters (wind speed, temperature, mixing height and ventilation rate) were included in this research. After screening severe air pollution scenarios, this study recognized the synoptic patterns easily causing the severe air-pollution events. Results and Discussion Analytical results showed that the eigenvalues of the first two principal components for SO2, CO, O3, PM10 and NO2 were greater than 1. The first component of five air pollutants explained 64, 64, 67, 76 and 63% of subPSI variance for SO2, CO, O3, PM10 and NO2, respectively. Only the correlation coefficient of NO2 and CO had statistically significant positive values (0.82); other pollutant pairs presented medium (0.4 to 0.7) or low (0 to 0.4) positive values. The correlation coefficients for air pollutants and three meteorological parameters (wind speed, mixing height and ventilation index) were medium or low negative values. In northern Taiwan, spring was most likely induced high concentrations and the component scores of the first component for SO2, CO, PM10 and NO2; summer was the worst season that caused high O3 episodes. Consequently, the analytical results of factor loadings for the first principal component and emission inventory of various sources revealed that mobile sources were dominant factors affecting ambient air quality in northern Taiwan. Conclusion According to the results of principal component analysis for the five air pollutants, the first two of 17 components were cited as major factors and explained 71% of subPSI variance. Based on the inventory of NOx emissions and the isopleth diagram of factor loading for the first component, mobile sources in the southwest Taipei City accounted for the highest factor loading values and emission inventory values. Synoptic analysis and principal component analysis demonstrated that three types of weather patterns (high-pressure recirculation, prefrontal warm sector and the southwesterly wind system) easily caused the severe air-pollution scenarios. In summary, if severe air-pollution days occurred, the average meteorological parameters experienced adverse conditions for diffusing air pollutants; that is, the average values of wind speed, mixing height and ventilation index were lower than 2.1 ms-1, 360 m and 800 m2s-1, respectively. If one of the three synoptic patterns were to occur in combination with adverse meteorological conditions, severe air-pollution events would be developed. Recommendation and Outlook By utilizing synoptic patterns, this work found three weather systems easily caused severe air-pollution events over northern Taiwan. Analytical results showed, respectively, the wind speed and mixing height were less than 2.1 m/s and 360 m during severe air-pollution events.     

Topographic Effects on Soil Organic Carbon in Louisiana Watersheds

Terrestrial carbon storage is influenced by a number of environmental factors, among which topographic and geomorphological features are of special significance. This study was designed to examine the relationships of soil organic carbon (SOC) density to various terrain parameters and watershed characteristics across Louisiana, USA. A polygon data set of 484 watersheds and 12 river drainage basins for Louisiana was used to form the landscape units. SOC densities were calculated for each soil map unit using the State Soil Geographic (STATSGO) database. Average drainage densities and average slopes at watershed and basin scales were quantified with the 1:24 K Digital Elevation Models (DEM) data, and the Louisiana hydrographic water features. Correlation and regression analyses were performed to determine relationships among drainage density, slope, elevation, and SOC. The study found an average watershed drainage density of 1.6 km/km² and an average watershed slope of 2.9 degrees in Louisiana. The results revealed that SOC density at both watershed and basin scales was closely related to drainage density, slope, and elevation. SOC density was positively correlated with watershed drainage density, but negatively correlated with watershed slope gradient and elevation. Regression models were developed for predicting SOC density at watershed and basin scales, obtaining regression coefficients (r ²) ranging from 0.43 to 0.83. The study showed that estimation of SOC at watershed and drainage basin scales combining DEM data can be a feasible approach to improve the understanding of the relationships among SOC, topographic, and geomorphological features.     

地震灾后重建规划环境影响评价特点和实施框架初探

5．12汶川特大地震灾害引起了社会和学术界对地震灾后重建规划广泛的关注。地震灾后重建规划几乎包含了当前规划领域中的所有挑战，是速度和质量兼顾、人性与理性权衡、社会经济与环境效益统一、多方博弈的过程，对灾后重建规划环评也从理论到实践层面提出了新的挑战。本文在对灾后重建规划特点进行归纳的基础上提出灾后重建规划环评相应具备的特点，即早期介入、与规划过程融合、增加灾害情景、突出规划协调性分析和应用反规划思路等特点，并进一步以《国家汶川地震灾后重建总体规划》为例说明了与灾后规划融合的环评流程、灾后规划环评的关键内容和评价思路。在对常用规划环评方法从信息成本、工作成本、客观和量化程度等原则进行评价后认为灾后重建规划环境评价中应有效利用比较评价法、GIS叠图法、生态承载力评价法等相对快捷、成熟或客观的方法。     

聚硅酸锌絮凝剂的电镜特征和絮凝效果

利用透射电子显微镜（TEM）和扫描电子显微镜（SEM）观察了聚硅酸锌（PSAZ）絮凝剂的凝胶颗粒结构，考察了不同浓度的锌离子与二氧化硅含是以及不同阴离子组成对聚硅酸锌絮凝胶结构的影响，对比了锌离子和铝离子形成聚硅酸盐絮凝剂的结构特征。同时比较了聚硅酸锌絮凝剂和铝系列絮凝剂的絮凝效果。     

驾驶员感知特性对隧道群交通安全的影响

针对高速公路隧道群对驾驶员感知特性的影响,以驾驶员的感知特性与高速公路隧道群行车安全的关系为研究对象,采用速度估计测试仪和深度知觉测试仪,在"铜汤高速-安徽段"沿线对高速公路隧道群行车途中的160名驾驶员进行实地测试,所得数据进行t检验和方差分析,用灰色建模软件V2.1进行关联度分析。结果表明:驾驶员的速度估计特性与高速公路隧道群驾驶员的年龄、驾龄以及连续行车时间具有较强的相关性,其中连续驾车时间的影响最大。年龄对驾驶员深度知觉准确性无显著影响;驾龄、连续行车时间对驾驶员的深视力准确性有显著影响。     

老虎台矿55002#掘进面通过F7-1断层前后微震事件的时空特征分析

冲击地压作为一种特殊的矿压显现形式,对抚顺矿业集团老虎台矿深部开采的安全生产造成了严重的影响,在该矿的实际生产中,地质条件是引发冲击地压发生的重要因素。鉴于微震监测系统是目前在煤矿井下监测冲击地压应用较为广泛的手段之一,本文利用波兰ARAM IS/MA微震监测系统对老虎台矿55002掘进工作面通过F7-1断层前后的微震特征信号进行连续观测,分别从时间和空间上研究此掘进面通过断层前后的微震特征,验证了一种典型的冲击地压发生时间前后的微震活动规律,并结合实际地质条件从位置上分析了微震事件与断层等地质构造之间的关系,进而根据空间分析结果圈定了重点防治冲击地压区域,使老虎台矿在该工作面掘进生产中提前采取相应的防范措施,顺利通过断层等地质构造异常区域,确保了安全生产。     

宁波市常见藻华的现场快速诊断

为了建立宁波市常见水华现场快速判断方法,根据宁波市常见水华的表观特征以及在叶绿素荧光仪上的响应,确定可能的水华优势种类,从而达到现场快速判断的目的。进一步结合实验室得出的水华藻影响因子和毒性等相关参数,得出水华的程度、可能的变化趋势和水源的安全性。结合水文、气象等其他影响因子,及时更新宁波市藻华数据库和检索表,可得出较为科学的判断结果。     

浙江省人地关系变化阶段特征及调整策略

经济快速发展地区工业化和城市化的加速发展对耕地的占用使这些地区的人地关系日趋紧张。从发展的角度看。若缺乏科学的人口再生产与土地调控机制。人地关系矛盾将直接制约这些区域经济的可持续发展。本文在翔实的历史资料基础上。通过对浙江省人地关系阶段变化特征的分析。认为浙江省人地关系紧张的状况有着历史延续性。接着分析了浙江省现代人地关系矛盾的焦点在于不断减少的耕地问题。探讨了经济发展与耕地变动的内在联系。认为只有遏制耕地减少的态势才能缓解浙江省人地关系日趋紧张的局面。同时对浙江省未来人地关系发展的态势进行了预测，佐证了如果不采取积极的应对措施。未来人地关系将日益恶化。最后。提出了浙江省人地关系的调整策略。试图为经济快速发展且人地关系紧张地区的土地利用管理提供一种新的路径选择。     

Comparative analysis of tolerance to pesticides in annelids

The tolerance of annelids (11 oligochaete and 13 leech species) to several organophosphate pesticides, polychloropinene, phenol, and copper sulfate was compared in an acute experiment. The dependence of pesticide resistance on specific biological and ecological features of the annelid species and their position in the phylogenetic series is discussed.