老挝北部Sentinel-2 A/B云覆盖适宜阈值界定及其影像获取概率时空差异

光学卫星影像云覆盖时空特征评估是衡量其作为重要遥感监测数据源的前提。Sentinel-2 A/B影像因其免费获取、多光谱（红边）、更高时空分辨率等优势,已在全球不同尺度陆面植被与生态监测中受到重视。相较于Landsat等同类影像产品,有关Sentinel-2 A/B的云覆盖分析还未见报道。本文利用2016—2018年老挝北部所有5288景Sentinel-2 A/B影像（Granule/Tile）的云覆盖元数据,基于不同云覆盖阈值（0~100%）水平下的影像获取概率差异确定了影像获取概率分析的云覆盖适宜阈值,并揭示了云量特征阈值水平下的影像获取概率时空差异。主要结论如下:① Sentinel-2 A/B影像获取概率分析云覆盖适宜特征阈值为20%（即云覆盖≤20%）,该阈值水平下老挝北部Sentinel-2 A/B影像的逐月累积平均获取概率最高（约27.41%）;② 在20%云覆盖阈值水平下,老挝北部Sentinel-2 A/B影像逐月累积平均获取概率差异在时间上与旱季（11月—次年4月）雨季（5月—10月）的时间分布较为吻合。旱季获取概率约为42.91%,3月概率（50.27%）最大,4月与2月次之,时间上与刀耕火种焚烧与橡胶林落叶特征吻合;雨季相应概率约为11.81%,6月最低（约1.26%）;③ 老挝北部Sentinel-2 A/B影像逐月累积平均获取概率在空间上存在东西差异,旱季西部省域单元（如琅南塔）影像获取概率远高于东部,雨季西部地区影像获取概率则略低于东部地区。本研究既可为后续开展大区及全球Sentinel-2 A/B影像云量分析提供借鉴,也对开展联合国减少森林砍伐和退化排放（UN-REDD）计划引发的土地利用变化如刀耕火种农业演变、橡胶林扩张等遥感监测有指导意义。     

淮河洪峰与致洪暴雨

本文从气象与水文角度， 首先研究淮河关键地段（王家坝）水位变化规律和洪峰出现的特征， 并从数理统计理论上对超定量出现次数和洪峰数值进行了随机变量的独立性检验， 然后求出淮河洪峰遵从的概率分布， 并定性和定量地给出超定量大小与超定量历时关系。最后， 结合多年气象资料分析， 指出洪峰出现与淮河致洪暴雨有密切关系。     

地倾斜地震前兆异常的概率综合

对河北省及邻近地区９个地倾斜台站１２年的观测资料用调和分析法和周期滤波法进行全程处理,用统一的标准提取异常信息,在此基础上计算出各个单台的对应地震的概率增益,再进行单台综合和多台综合,结果表明,概率综合曲线上升超０．０５,转折之后半年内有Ｍｓ≥４．８级地震发生。     

浅源强震的判据和发震概率

根据确定潜在震源区的多判据原理,强震的发生不仅要满足准静态强度条件,而且必须具备突发释放足够能量的条件,而所有这些条件可以通过突发应力降判据、总能量判据和强度判据加以表达。本文建立了它们相应的概率表达式和估计发震总概率的方法,并针对我国28例地震进行了验算     

Evaluation of wave impact loads on caisson breakwaters based on joint probability of impact maxima and rise times

When waves break against seawalls, vertical breakwaters, piers or jetties, they abruptly transfer their momentum into the structure. This energy transfer is always spectacular and perpetually unrepeatable but can also be very violent and affect the stability and the integrity of coastal structures. Over the last 15 years, increasing awareness of wave-impact induced structural failures of maritime structures has emphasised the need for a more complete approach to dynamic responses, including effects of impulsive loads. At the same time, movement of design standards toward probabilistic approaches requires new statistical tools able to account for uncertainties in the variability of wave loading processes. This paper presents a new approach to the definition of loads for use in performance design of vertical coastal structures subject to breaking wave impacts.     

A bivariate gamma distribution for use in multivariate flood frequency analysis

A gamma distribution is one of the most frequently selected distribution types for hydrological frequency analysis. The bivariate gamma distribution with gamma marginals may be useful for analysing multivariate hydrological events. This study investigates the applicability of a bivariate gamma model with five parameters for describing the joint probability behavior of multivariate flood events. The parameters are proposed to be estimated from the marginal distributions by the method of moments. The joint distribution, the conditional distribution, and the associated return periods are derived from marginals. The usefulness of the model is demonstrated by representing the joint probabilistic behaviour between correlated flood peak and flood volume and between correlated flood volume and flood duration in the Madawask River basin in the province of Quebec, Canada. Copyright © 2001 John Wiley & Sons, Ltd.     

Analytical derivation of the probability for the escape of stars from colliding galaxies

We use the impulse approximation to derive analytical formulae for the escape probability from a simple binary system that interacts with a third body. The binary system is made up of a mass-less body in circular orbit around a massive object, and we assume that the two massive bodies follow a Schuster (or Plummer) distribution. Within the ranges imposed by the impulsive approximation to the parameters of the encounter, we find good agreement between our results and those obtained from numerical experiments.     

Geostatistical analysis of field hydraulic conductivity in compacted clay

Hydraulic conductivity(K) of fractured or porous materials is associated intimately with water flow and chemical transport. Basic concepts imply uniform flux through a homogeneous cross-sectional area. If flow were to occur only through part of the area, actual rates could be considerably different. Because laboratory values ofK in compacted clays seldom agree with field estimates, questions arise as to what the true values ofK are and how they should be estimated. Hydraulic conductivity values were measured on a 10×25 m elevated bridge-like platform. A constant water level was maintained for 1 yr over a 0.3-m thick layer of compacted clay, and inflow and outflow rates were monitored using 10×25 grids of 0.3-m diameter infiltration rings and outflow drains subtending approximately 1×1 m blocks of compacted clay. Variography of inflow and outflow data established relationships between cores and blocks of clay, respectively. Because distributions of outflow rates were much less and bore little resemblance to the distributions of break-through rates based on tracer studies, presence of macropores and preferential flow through the macropores was suspected. Subsequently, probability kriging was applied to reevaluate distribution of flux rates and possible location of macropores. Sites exceeding a threshold outflow of 100×10^–9 m/s were classified as outliers and were assumed to probably contain a significant population of macropores. Different sampling schemes were examined. Variogram analysis of outflows with and without outliers suggested adequacy of sampling the site at 50 randomly chosen locations. Because of the potential contribution of macropores to pollutant transport and the practical necessity of extrapolating small plot values to larger areas, conditional simulations with and without outliers were carried out. Simulated scenarios based on all available data compared well with conditional simulations based on randomly chosen locations.This paper was presented at MGUS 87 Conference, Redwood City, California, 14 April 1987.     

Assessment of earthquake hazard in Panama based on seismotectonic regionalization

Assessment of seismic hazard in Panama is made using a seismotectonic regionalization model. The coefficients of Gumbel's Type-I distribution are calculated and return periods for several magnitudes are found. From these coefficients intensities, peak ground acceleration and earthquake hazard for a set of return periods and epicentral distances are estimated and substantial variations in the probability of occurrence are noted. The Panama Fracture Zone (PFZ) and the Panama-South America Suture Zone (PSZ) provinces are the most active in producing earthquakes with a magnitude of about 7.0 in less than 16 yr. Magnitude 7.0 earthquakes in the Azuero province have a return period of about 160 yr, whereas in the Panama Deformed Belt (PDB) province the return period for magnitude 7.5 events is about 175 yr.     

Geographical Information Systems and Geostatistics for Modelling Radioactively Contaminated Land Areas

The Chernobyl plume contaminated vast lands of Europe with radiocaesium (¹37Cs) in 1986 because of the deposition of radionuclides on the ground by wet and dry deposition processes. Nevertheless, in a nuclear emergency, contamination data may be very sparse and there is need to make rapid and scientifically supported decisions. Here we analyze the rainfall field, an important precursor of the wet deposition, during the passage of the plume. Thus, estimating rainfall spatial variability can help to identify possible contaminated areas and associated risks when rainfall exceeded a given threshold. In this paper, we show that the conditional probabilities of exceeding threshold rainfall values could be spatially assessed using the mutual benefits of linking geostatistical and geographical information system (GIS) to quantify the evaluation of the risk involved in decision making. In particular, the non-parametric geostatistic technique, termed Indicator Kriging (IK), enables one to efficiently estimate the probability that the true value exceeds the threshold values by means of the indicator coding transform. Afterward, GIS has been used to find the areas probably affected by wash-out (probability >0.5 that rainfall is above a certain threshold). The experimental study has been focused on a test site in Beneventan agroecosystem (Southern Italy) to model the spatial uncertainty over a continuous area from sparse rainfall data. This enabled to generate probability maps delineating area potentially affected by to contamination to be monitored after wet deposition of Chernobyl releases.