基于卫星遥感数据改进区域尺度的显热通量模型

以西北半干旱地区的内蒙古农牧交错地带锡林郭勒盟为研究区,以不同退化程度的草地为研究对象,通过叶面积指数计算各像元的动力传输粗糙度长度,以改进显热通量算法;并结合植被／土壤组分温度分别计算基于亚像元的植被／土壤的显热通量。由敏感性分析和模型验证表明,改进的显热通量算法能够提高区域尺度的能量平衡计算精度。     

海滨旅游目的地竞争力影响因素实证分析

为把握海滨旅游目的地竞争力各影响因素之间的逻辑层次关系以及影响因素与竞争力的相关性,通过问卷调查,借助SPSS13.0统计软件进行因子分析。结果表明,海滨旅游目的地竞争力的影响因素可归纳为11项公共因子,按其对海滨旅游目的地竞争力影响程度大小依次为自然吸引物、资源与环境维护、社会灾难、目的地可进入性与知名度、目的地经营管理、旅游服务设施、旅游发展保障因素、目的地组织及其相关政策、目的地基础设施、人文吸引物、物价水平。     

顾及字符特征的中文地名词典查询方法

地名词典查询是地名校正、地名匹配等地名服务应用的重要基础,但是地名数量的快速增长使得词典查询性能面临严峻挑战。针对大规模数据环境中传统词典查询方法准确率不高且效率较低等问题,提出了一种顾及字符特征的中文地名词典查询方法（CGQM）。首先,查询具有相同字符特征的地名形成候选地名集合,同时构建单字索引提升查询效率;其次,依据字符数量特征比较查询地名与候选地名的差异,进一步过滤候选地名集合;最后,基于字符位置特征优化查询结果排序策略,使得结果排序更为合理。实验以全国地名词典为例,构建5组测试集进行CGQM方法与Lucene检索方法的对比分析。研究结果表明,CGQM方法对于增强地名词典查询功能、提升查询效率具有实际意义。     

成武县土地利用时空变化与水系因子的关系研究

成武县位于鲁西南黄河冲积平原区,水系发达,地表水资源丰富。为了分析地表水系对成武县土地利用时空变化和空间格局的影响,该文基于不同时期的遥感影像,结合实地调查和专家意见,提取区域土地利用现状图;运用DEM地表水文分析提取河流汇流累积量、水流长度、河流网络等,根据流量选取了河网。以河流为中心向两侧作缓冲区,与土地利用现状图进行空间分析,得到不同距离缓冲区内的土地利用结构。与全区域土地利用结构对比,分析不同时期在相同的缓冲区域内土地利用特征和变化,总结土地结构变化规律,结合100m,200m,300m,400m,500m,750m,1000m不同的缓冲区;通过对比各种土地利用类型在不同距离缓冲区的时空变化,从而分析水系因子对不同土地类型时空变化的影响。结果表明,不同距离缓冲区内土地利用结构不同,随着缓冲区范围的增加,耕地、建设用地、林地、园地呈现不同的变化趋势与特点,水系因子对成武县不同土地利用方式影响程度不同,水系因素对成武县土地利用空间分异有明显影响。     

Tropical Cyclone Genesis Potential Index for Bay of Bengal During Peak Post-Monsoon (October-November) Season Including Atmosphere-Ocean Parameters

Several studies on tropical cyclone genesis potential index (GPI) mainly using atmospheric parameters (relative/absolute vorticity, relative humidity, vertical wind shear, potential instability, vertical velocity etc.) have been reported earlier. Though the ocean plays a vital role in the genesis and intensification of cyclones, no ocean parameter has been included in most of the studies. In this study, we have made an attempt to develop a new GPI for Bay of Bengal during peak post-monsoon (October-November) season including upper ocean heat content (UOHC) using the data for the period 1995–2015. It is found that the new GPI is better correlated with the total number of depressions, cyclones and severe cyclones (TNDC) compared with the existing GPI which was developed for the north Indian Ocean and presently used by India Meteorological Department (IMD), New Delhi. The correlation has significantly enhanced (r=0.86:significant at >99% level) by using the first differences [year(0) –year(?1)] of the time series data. Since, the new GPI which considers atmosphere and ocean (UOHC) parameters, it appears to be more suitable for Bay of Bengal during the peak post-monsoon season.     

多极化SAR溢油探测影响因素分析研究

Polarimetric synthetic aperture radar(SAR) oil spill detection parameters conformity coefficient(μ), Muller matrix parameters(|C|, B_0), the eigenvalues of simplified coherency matrix(λ_(nos)) and the influence of SAR observing parameters, ocean environment and noise level are investigated. Radarsat-2 data are used to make systematic analysis of polarimetric parameters for different incidences, wind speeds, noise levels and the ocean phenomena(oil slick and look likes). The influence of the SAR observing parameters, the ocean environment and the noise level on the typical polarimetric SAR parameter conformity coefficient has been analyzed. The results indicate that conformity coefficient cannot be simply used for oil spill detection, which represents the image signal to the noise level to some extent. When the signals are below the noise level for the oil slick and the look likes, the conformity coefficients are negative; while the signals above the noise level corresponds to positive conformity coefficients. For dark patches(low wind and biogenic slick) with the signal below the noise,polarization features such as conformity coefficient cannot separate them with oil slick. For the signal above the noise, the oil slick, the look likes(low wind and biogenic slick) and clean sea all have positive conformity coefficients, among which, the oil slick has the smallest conformity coefficient, the look likes the second, and the clean sea the largest value. For polarimetric SAR data oil spill detection, the noise plays a significant role. So the polarimetric SAR data oil spill detection should be carried out on the basis of noise consideration.     

基于多源遥感数据的日本海内波特征研究

日本海特殊的地理位置和复杂的地形使得该海域内波表征极为复杂,遥感是大范围观测内波的有效手段,已被广泛应用于内波的探测研究。本文利用MODIS、GF-1和ENVISAT ASAR遥感影像,开展了日本海内波特征研究。通过提取内波波峰线,生成了日本海内波空间分布图;获取了内波的波峰线长度和传播速度,并基于非线性薛定谔方程反演了内波振幅。研究结果表明,日本海内波分布范围宽广,不仅大陆架沿海区内波分布密集,深海盆地也探测到了大量内波;日本海北部45°N附近海域有少量内波出现,利用高分影像探测到朝鲜陆架浅海区有大量小尺度内波,大和海盆、大和隆起的西南部海域没有发现内波。日本海内波波峰线长达100多千米,深海区的传播速度大于1 m/s;浅海区内波振幅约10 m左右,深海区可达60 m以上。     

Numerical modeling investigation on turbulent oscillatory flow over a plane rough bed composed by randomly arrayed particles

A three-dimensional numerical model is established to simulate the turbulent oscillatory boundary layer over a fixed and rough bed composed by randomly arrayed solid spheres based on the lattice Boltzmann method and the large eddy simulation model.The equivalent roughness height,the location of the theoretical bed and the time variation of the friction velocity are investigated using the log-fit method.The time series of turbulent intensity and Reynolds stress are also investigated.The equivalent roughness height of cases with Reynolds numbers of 1×10~4–6×10~4 is approximately 2.81 d(grain size).The time variation of the friction velocity in an oscillatory cycle exhibits sinusoidal-like behavior.The friction factor depends on the relative roughness in the rough turbulent regime,and the pattern of solid particles arrayed as the rough bed in the numerical simulations has no obvious effect on the friction factor.     

海洋细菌SAR86研究进展

变形菌门是海洋环境中最主要的微生物类群,其中属于γ-变形菌门的海洋细菌SAR86成为近来研究的热点之一。本文从海洋细菌SAR86的系统发育多样性、生态分布、基因组学以及在海洋生物地球化学循环中的作用等四个方面对相关研究进行回顾与展望。     

环渤海湾海洋资源环境承载力定量研究

环渤海湾地区经济发展迅速但开发利用过度,生态问题突出。本文以社会环境学理论、系统论、可持续发展理论等为基础,建立了环渤海湾海洋资源环境承载力评价指标体系,利用单项评价法,以地级市为基本单位对环渤海湾地区的海洋资源环境承载力进行评价。结果表明滨州市的海洋资源环境承载力较好,其次为唐山市和天津市,沧州市的海洋资源环境承载力较弱。