基于空气质量模拟的江苏省大气污染物排放清单比较研究

大气污染物排放清单是空气质量模拟和空气污染治理的重要依据.本研究比较分析了两套覆盖江苏省的2017年大气污染物排放清单，即分别由上海市环境科学研究院、江苏省环境科学研究院编制的"长三角清单"和"江苏省清单"，并结合区域空气质量模型CMAQ评估不同清单对长三角地区2017年1、4、7、10月的空气质量模拟的影响.清单比较结果表明，除二氧化硫（SO₂）以外，江苏省清单估算的各污染物排放量较长三角清单低.通过与观测数据比较，发现两套清单对SO₂、氮氧化物（NO_x）、臭氧（O₃）和细颗粒物（PM_2.5）的模型模拟性能均较好.江苏省清单与长三角清单两者的模拟结果空间分布接近，其中江苏省清单模拟的PM_2.5和O₃在长三角多数地区略低于长三角清单的模拟结果（1月O₃除外）.江苏省清单与长三角清单均能够用于空气质量模式模拟，可为江苏地区的细颗粒物和光化学烟雾污染的控制策略制定提供参考.     

测井多尺度分析方法用于准层序自动划分研究

多尺度分析方法实现了信号分析的时频局部化,是测井数据时频分析与地质解释恰当的数学工具.测井资料作为地层岩性、物性的反映,其中必然蕴含了大量与沉积地层旋回变化有关的信息.以胜坨油田某井为例,采用db4最佳小波基分别对自然伽马、自然电位和声波等测井曲线进行了多尺度分析,将一维测井数据拓展为二维深度-尺度空间,提取小波变换系数的时频色谱信息和能量信息,从而确定出测井曲线识别准层序界面的最佳尺度.依据最佳尺度下的小波系数幅度振荡特征和时频色谱信息实现了对准层序界面的自动划分,与传统方法所划分的界面基本一致.这些探索为层序地层的定量划分提供了一种新的思路.     

斯里兰卡以东海域涡旋偶极子的生成与维持机制

斯里兰卡岛以东海域在西南季风期间常会出现一对低频涡旋偶极子（即斯里兰卡穹顶气旋涡和反气旋涡）,对当地的海洋生态系统及气候有着重要影响。基于（1/12）°分辨率的混合坐标海洋模式（Hybrid Coordinate Oceanic Model,HYCOM）再分析资料以及多尺度子空间变换（MWT）和基于MWT的正则传输理论等方法,分析了它们的生成发展机制。结果发现这2个涡旋发展所需能量最终都来源于海表风应力做功,但具体可取3条完全不同的路径：①风应力直接驱动涡旋;②风应力驱动背景场的西南季风流,其后西南季风流发生正压不稳定以提供涡旋所需的涡动能;③西南季风流通过风应力做功获得的动能转换为有效位能,其后通过斜压不稳定给涡旋提供位能。涡旋最终衰亡的主要原因包括风应力对涡旋做功的减少、西南季风流正压不稳定的减弱、涡旋的能量频散以及低频涡向更高频扰动的正向能量级串。     

Pre-summer Persistent Heavy Rain over Southern China and Its Relationship with Intra-seasonal Oscillation of Tropical Atmosphere

Based on daily precipitation data supplied by the Chinese meteorological administration, hourly reanalysis datasets provided by the ECMWF and daily outgoing long wave radiation supplied by the NOAA, the evolution regularity of continuous heavy precipitation over Southern China(SC) from April to June in 1979-2020 was systematically analyzed. The interaction between specific humidity and circulation field at the background-scale, the intra-seasonal-scale and the synoptic-scale, and its influence o...     

多源多尺度地图数据的组织与管理

多源多尺度地图数据的组织与管理是多源地图数据处理、数据融合以及地图制图综合的基础。首先对多源地图数据处理的主要方法和技术进行了总结;进而讨论了多源多尺度地图数据的组织与管理的两个关键技术,即多源多尺度地图数据引擎的设计和多图幅地图数据的内存管理技术。     

黑河流域地理观测分析——复杂性科学视角（英文）

Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertaining to water resources,soil and vegetation have been collected.To adequately analyze these available data and data to be further collected in future,we present a perspective from complexity theory.The concrete materials covered include a presentation of adaptive multiscale filter,which can readily determine arbitrary trends,maximally reduce noise,and reliably perform fractal and multifractal analysis,and a presentation of scale-dependent Lyapunov exponent(SDLE),which can reliably distinguish deterministic chaos from random processes,determine the error doubling time for prediction,and obtain the defining parameters of the process examined.The adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data,and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal properties.The SDLE is illustrated to determine intermittent chaos from river flow data.     

小波多尺度影像边缘聚焦算法

讨论了基于光滑函数的二维小波极大模边缘算子和小波过零点边缘算子及其特性。提出了多尺度二进小波变换过零点边缘聚焦算法。通过对不同尺度下小波变换的遥感影像进行复合、边缘提取和聚焦后结果进行比较，可以发现该算法适应影像空间尺度不确定性目标边缘提取。既可保证大尺度下的轮廓信息不失真，又能在边缘定位上保持很高的精度。     

利用航磁数据向下延拓得到海面磁场的方法

采用航磁数据向下延拓到海面代替船测数据,可提高磁力测量成果的综合利用率.基于多尺度边缘检测理论,研究改善航磁数据向下延拓到海面精度的方法,提出多尺度边缘约束迭代法,并给出模型和实测数据算例.计算结果表明,当航磁数据中噪声水平较大时,利用多尺度边缘约束迭代法可以提高向下延拓的精度,满足三、四级海洋磁力测量的精度要求.     

重力梯度特征向量和多尺度分析法在密度异常深度探测中的应用

相较于传统的重力测量手段,重力梯度测量能够以更高的灵敏度和分辨率反映出地下密度异常体的结构特征。随着科学技术的不断发展,航空及卫星重力梯度测量系统已经投入使用,并实现了大范围高精度的重力梯度测量。因此,现阶段的主要挑战在于对越来越多的重力梯度数据进行分析、处理和解释。本文根据重力梯度全张量主特征值对应的特征向量,对密度异常体的深度探测进行了研究。由于不同埋深的密度异常体具有不同的波长反映,利用多尺度分析法可以分解出不同频段重力梯度张量,从而增强对更大埋深密度异常体的探测分析能力。通过对模型和实测重力梯度数据的分析解算,结果表明,重力梯度的特征向量和多尺度分析法能够有效地确定密度异常体的深度信息,并且对干扰场源和随机噪声也具有一定的抗干扰能力。     

Roughness scale dependence of the relationship between tracer longitudinal dispersion and Peclet number in variable‐aperture fractures

The relationship between the longitudinal dispersion (D_L) and Peclet number (Pe) is crucial for predicting and simulating tracer through the variable‐aperture fracture. In this study, the roughness of the self‐affine fracture wall was decomposed into primary roughness (relatively large‐scale waviness) and secondary roughness (relatively small‐scale waviness) by a multiscaled wavelet analysis technique. Based on the complete dispersion mechanism (diffusion, macrodispersion, and Taylor dispersion) in the variable‐aperture fracture, three relationships (second‐order, power‐law, and linear relationships) between the D_L and Pe were investigated at large and small scales, respectively. Our results showed that the primary roughness mostly controlled the Taylor dispersion mechanism, whereas the secondary roughness was a dominant factor for the macrodispersion mechanism. Increasing the Hurst exponent and removing the secondary roughness led to the decreasing range of Pe where macrodispersion mechanism dominated the solute transport. It was found that estimating the D_L from the power‐law relationship based on Taylor dispersion theory resulted in considerable errors, even in the range of Pe where the Taylor dispersion mechanism dominated. The exponent of the power‐law relationship increased as the secondary roughness was removed. Analysing the linear relationship between the D_L and Pe revealed that the longitudinal dispersivity α_L increased linearly. However, this linear increase became weak as the Taylor dispersion mechanism dominated. In the range of Pe where the macrodispersion mechanism dominated, increasing the Hurst exponent caused the increase of α_L and the secondary roughness played a significant role in enhancing the α_L. As the Taylor dispersion mechanism dominated, the α_L was insensitive to the influence of multiscale roughness in variable‐aperture fractures.