Jacobian matrix for near-infrared remote sensing based on vector radiative transfer model

Due to the polarization effects of the Earth's surface reflection and atmospheric particles' scattering, high-precision retrieval of atmospheric parameters from near-infrared satellite data requires accurate vector atmospheric radiative transfer simulations. This paper presents a near-infrared vector radiative transfer model based on the doubling and adding method. This new model utilizes approximate calculations of the atmospheric transmittance, reflection, and solar scattering radiance for a finitely thin atmospheric layer. To verify its accuracy, the results for four typical scenarios(single molecular layer with Rayleigh scattering, single aerosol layer scattering, multi-layer Rayleigh scattering, and true atmospheric with multi-layer molecular absorption, Rayleigh and aerosol scattering) were compared with benchmarks from a well-known model. The comparison revealed an excellent agreement between the results and the reference data, with accuracy within a few thousandths. Besides, to fulfill the retrieval algorithm, a numerical differentiation-based Jacobian calculation method is developed for the atmospheric and surface parameters. This is coupled with the adding and doubling process for the radiative transfer calculation. The Jacobian matrix produced by the new algorithm is evaluated by comparison with that from the perturbation method. The relative Jacobian matrix deviations between the two methods are within a few thousandths for carbon dioxide and less than 1.0×10~(-3)% for aerosol optical depth. The two methods are consistent for surface albedo, with a deviation below 2.03×10~(-4)%. All validation results suggest that the accuracy of the proposed radiative transfer model is suitable for inversion applications. This model exhibits the potential for simulating near-infrared measurements of greenhouse gas monitoring instruments.     

CAP方法反演震源机制的误差分析:以胶东半岛两次显著中等地震为例

利用区域波形数据使用CAP方法反演中强地震的震源机制正逐渐得到广泛应用.本文以胶东半岛近期发生的两次显著中等地震为例,讨论了使用CAP方法反演震源机制时的误差估计,展示了反演结果的不确定性分析过程.2013年11月23日和2014年1月7日在山东莱州和乳山分别发生了M4.6和M4.3级中等地震,两次事件均造成了较大影响.我们基于CAP方法,使用自助抽样(bootstrap)技术多次重复反演过程,得到大样本量的震源机制解数据;基于这些数据,使用粒子群算法和聚类分析技术给出了优化解,估计了震源机制解的误差范围,并利用震源机制解的P、T轴给出了震源球上的概率密度分布.     

高分辨瞬时振幅和瞬时相位在薄互煤层识别中的应用

东北地区煤田中的煤层一般是一个典型的低速薄层,可采煤厚约1～8 m,这使得常规地震方法勘探煤层受到很大的限制.但由于煤层与围岩组成的是一个有规律的薄互层组合,所以通过研究薄互层的地震波波形、振幅、能量分配关系等特征来进行识别成为地震勘探煤层的一种可能.而高分辨三瞬技术能够提供精细化的波形、振幅等信息,因此本文将高分辨三...     

2017年九寨沟MS7.0地震场地特征分析

场地条件对地震动具有较大影响, 研究不同场地条件下的地震动特征对地震动的校正具有重要意义。 本文以九寨沟地震为例, 收集了66个台站的198条三分量强震观测记录和SRTM(Shuttle Radar Topography Mission)公里格网的DEM(Digital Elevation Model)数据, 从多个角度对场地特征进行分析。 首先根据坡度法使用DEM数据对九寨沟特征进行了场地分类, 然后讨论了不同场地类型下的加速度时程、 加速度反应谱、 地震动衰减等地震动特征。 研究表明, 缺少实测资料的情况下, 地形坡度可以作为Vs30(地表以下30 m范围的平均剪切波速度)的一种替代指标, 利用坡度法可以较快速地对场地进行分类; 利用强震观测记录能够从多角度对台站的场地特征进行分析, 不同场地类型对地震动影响不同, 其中, 土层对地震动具有明显的放大效应。 该结论可以为地震动结果的校正提供依据。     

Seasonal variability of the carbon export in the central South China Sea

Ocean Dynamics - The South China Sea (SCS) is strongly influenced by the East Asian monsoon system with seasonal reversal. Measurements from a 7-year continuous sediment trap located in the central...     

应用高分辨CT（HRCT）扫描弥补腔隙诊断之不足

目的:应用高分辨CT^*(HRCT)扫描方法,增加对头颅腔隙梗塞诊断的可靠性。材料和方法:对临床疑有腔隙的病人,在基底节区及可疑部位加用HRCT扫描,遇到腔隙病灶与像素颗粒难以区分时在相同层面或上下1~2mm处做HRCT扫描。结果:有489例常规CT正常的病例中发现了腔隙灶,在遇到的502例不易诊断的可疑病灶中,经HRCT确诊的真正腔隙灶300例,伪腔隙(像素)202例,同时发现HRCT对正常脑组织结构的显示要较常规CT优越得多。结论:HRCT不仅能提高腔隙性梗塞的检出率,还能辨伪腔隙,是弥补常规CT对腔隙诊断不足的较好手段。     

A Statistical Investigation of the Earthquake Predictions Using LURR

In terms of the spatial scanning of LURR (Load-Unload Response Ratio), we have been predicting the seismic tendency within the next year for the mainland of China from 1995 to 2003. In order to make the quantitative retrospective assessment of LURR method, we compare the results with Poisson null hypothesis. The results show that the prediction by LURR method is much better than Poisson hypothesis.     

北京地区新构造运动特征

根据北京地区构造演化、断裂活动、新构造运动、现代构造运动及地震活动等新资料,认为本区南、北段新构造运动特征存在明显差异,南段新构造活动较北段弱,未来地震危险性亦然