高分辨率遥感影像融合研究

遥感影像融合不仅可以提高原多光谱影像的空间分辨率,更重要的是最大量地保留影像的光谱信息。为了研究适合于QuickBird遥感影像融合的融合方法,本研究应用乘法复合算法(MLT)、改进的Brovey(MB)、高通滤波(HPF)以及基于平滑滤波的亮度调节算法(SFIM)四种融合方法对QuickBird影像进行了融合试验和分析。试验区以覆盖不同土地利用类型的一小景QuickBird影像为基础。采用了均值偏差、标准差、信息熵、平均梯度和相关系数五种数字统计方法来定量地评价由以上算法产生的融合影像。分析结果表明:SFIM算法在光谱保真性、高频信息融入度、影像清晰度方面都优于其他三种方法。因此,在研究的四种方法中,SFIM算法最适合Quick-Bird影像融合。     

基于葵花8卫星的上海市夏季对流初生预报研究

参考Mecikalski et al(2010a;2010b)提出的基于GOES系列卫星的对流初生预报方法,针对上海市夏季对流天气特征建立了基于高时空分辨率的静止气象卫星数据的上海市对流初生判识及预报方法。利用该方法对上海市的一次对流初生个例进行了分析,并对2016年7-8月的12次对流初生事件进行了预报试验,结果表明:方法提取的各个指标能够很好地体现对流初生过程中云团的发展变化特征并能剔除掉成熟对流云团边缘像元的干扰;在12次对流初生事件中,成功地预报了其中的11次,预报时间较对流初生时间平均提前了约30 min,但是对于局地弱对流过程该方法仍有一定的缺陷。     

Comparison of Methods for Determining Specific-surface Area of Fine-grained Soils

Characteristics of fine-grained soils primarily depend on their specific-surface area and hence, reliable determination of this parameter is essential. In this context, researchers have employed quite sophisticated instruments (viz., a BET surface area analyzer, the mercury intrusion porosimetry, internal reflectance spectroscopy, X-Ray diffraction and gas pycnometer etc.) and methodologies (viz., sorption of Methylene Blue dye, Ethylene Glycol Monoethyl Ether and p-Nitrophenol) to determine specific-surface area of these soils. However, most of these methodologies are found to be quite tedious, cost and time intensive. Apart from this, the results obtained are contentious due to the inherent limitations associated with either the instruments employed or the basic assumptions made for computing the specific-surface area of the soil. Hence, it becomes mandatory to evaluate the efficiency of these methodologies for determining specific-surface area of fine-grained soils. With this in view, different types of soils were considered in this study and their specific-surface area was determined, by following different methodologies, and the results were evaluated critically. In addition, attempts were made to develop relationships between the basic properties of fine-grained soils (viz., liquid limit, cation-exchange capacity, activity, and free swell index) and the specific-surface area. These relationships will be of immense help to the practicing engineers and research fraternity.     

Testing the Universal Soil Loss Equation‐MB equation in plots in Central and South Italy

Planning soil conservation strategies requires predictive techniques at event scale because a large percentage of soil loss over a long‐time period is due to relatively few large storms. Considering runoff is expected to improve soil loss predictions and allows relation of the process‐oriented approach with the empirical one, furthermore, the effects of detachment and transport on soil erosion processes can be distinguished by a runoff component. In this paper, the empirical model USLE‐MB (USLE‐M based), including a rainfall‐runoff erosivity factor in which the event rainfall erosivity index EI₃₀ of the Universal Soil Loss Equation (USLE) multiplies the runoff coefficient Q_R raised to an exponent b₁ > 1 is tested by the measurements carried out for the Masse (10 plots) and Sparacia (22 plots) experimental stations in Italy. For the Masse experimental station, an exponent b₁ > 1 was also estimated by tests carried out by a nozzle‐type rainfall simulator. For each experimental site in fallow conditions, the effect of the sample size of the plot soil loss measurements on the estimate of the b₁ coefficient was also studied by the extraction of a fixed number N of randomly obtained pairs of the normalized soil loss and runoff coefficient. The analysis showed that the variability of b₁ with N is low and that 350 pairs are sufficient to obtain a stable estimate of b₁. A total of 1,262 soil loss data were used to parameterize the model both locally and considering the two sites simultaneously. The b₁ exponent varied between the two sites (1.298–1.520), but using a common exponent (1.386) was possible. Using a common b₁ exponent for the two experimental areas increases the practical interest for the model and allows the estimation of a baseline component of the soil erodibility factor, which is representative of the at‐site soil intrinsic and quasi‐static properties. Development of a single USLE‐MB model appears possible, and sampling other sites is advisable to develop a single USLE‐MB model for general use.     

单台测定MB和MS震级与CENC测定震级偏差分析

利用湟源地震台2004年7月至11月数字化地震仪记录到的MB震级66个、MS震级40个与中国地震台网中心测定的MB和MS震级进行了对比分析，利用M网-M台计算出了湟源地震台MB和MS震级的偏差，并从震中距、震源深度及方位等方面分析了产生偏差的原因，进而指出了解决的方法。