A geospatial study of the drought impact on surface water reservoirs: study cases from Texas,USA

Satellite images have been used historically to measure and monitor fluctuations in the surface water reservoirs. This study integrates remote sensing and Geographic Information System (GIS) technologies to investigate the impact of drought on 10 selected surface water reservoirs in San Angelo and Dallas, Texas. Oscillations in summer and winter months throughout the 2005–2016 period were assessed using multispectral images from Landsat-5, ?7, and ?8, and changes in the reservoirs were characterized and correlated against local climate data of each reservoir. For quantitative comparisons of the time-series measurements, a robust density slicing approach was employed to classify the range of values of the raster cells in the near-infrared band of Landsat images for each lake into three desired classes (deep water, shallow water, and dry area) based on the natural breaks inherent in the dataset. Statistical analysis shows that the overall accuracy of the classification is about 94%, which demonstrates the efficiency of the density slicer to accurately estimate surface water area changes from an individual Landsat band. Shrinkage in the surface water area over the study period reveals the concrete impact that the drought along with other factors have on the 10 selected lakes. The San Angelo lakes located in west central Texas experienced a nearly consistent pattern of change during most of the study period; whereas the Dallas lakes in northeast Texas followed the oscillating pattern of drought and correlated closely to the local conditions. Shockingly, the extreme drought caused complete vanishing of several lakes, and consequently Texas had to remove them from its recreational plans. Our new findings can certainly help with the water resource management in Texas and our study approach can be adapted for monitoring lake oscillations in other areas across the world. This geospatial study demonstrates the societal benefits from incorporating remote sensing and GIS in investigating geo-environmental problems associated with severe climate changes.     

Estimation of crowd density from UAVs images based on corner detection procedures and clustering analysis

With rapid developments in platforms and sensors technology in terms of digital cameras and video recordings, crowd monitoring has taken a considerable attentions in many disciplines such as psychology, sociology, engineering, and computer vision. This is due to the fact that, monitoring of the crowd is necessary to enhance safety and controllable movements to minimize the risk particularly in highly crowded incidents (e.g. sports). One of the platforms that have been extensively employed in crowd monitoring is unmanned aerial vehicles (UAVs), because UAVs have the capability to acquiring fast, low costs, high-resolution and real-time images over crowd areas. In addition, geo-referenced images can also be provided through integration of on-board positioning sensors (e.g. GPS/IMU) with vision sensors (digital cameras and laser scanner). In this paper, a new testing procedure based on feature from accelerated segment test (FAST) algorithms is introduced to detect the crowd features from UAV images taken from different camera orientations and positions. The proposed test started with converting a circle of 16 pixels surrounding the center pixel into a vector and sorting it in ascending/descending order. A single pixel which takes the ranking number 9 (for FAST-9) or 12 (for FAST-12) was then compared with the center pixel. Accuracy assessment in terms of completeness and correctness was used to assess the performance of the new testing procedure before and after filtering the crowd features. The results show that the proposed algorithms are able to extract crowd features from different UAV images. Overall, the values of Completeness range from 55 to 70 % whereas the range of correctness values was 91 to 94 %.     

长江口徐六泾悬浮细颗粒泥沙絮凝体特性

2003年6月14日-22日, 利用现场激光粒度仪LISST-100在不扰动颗粒物的情况下, 于长江口徐六泾定点连续观测了洪季大、小潮表层粘性悬浮细颗粒泥沙絮凝体的实有粒径、体积浓度, 配合OBS-3A现场测量的悬沙浓度计算了现场絮凝体的有效密度和静水沉速.观测结果显示, 徐六泾大、小潮表层絮凝体体积浓度、粒径、有效密度和静水沉速的平均值分别为98.0 μl/L、39.8 μm、1173 kg/m^3、1.14 mm/s和70.8 μl/L、64.4 μm、919 kg/m^3、2.32 mm/s.研究表明： ①长江口徐六泾表层絮凝体体积浓度主要受水流流速影响, 再悬浮现象明显, 体积浓度过程线滞后流速过程线, 落潮期间滞后10-30 min, 涨潮则滞后30-50 min; ②小于一定流速时絮凝体平均粒径随流速增大而增大, 大于一定流速时絮凝体平均粒径则随流速增大而减小, 徐六泾大、小潮表层絮凝体在50 cm/s的垂线平均流速时出现平均粒径与垂线平均流速关系的转折; ③徐六泾大、小潮表层絮凝体平均粒径在体积浓度75 μl/L时出现平均粒径与体积浓度关系的转折, 体积浓度小于75 μl/L时粒径随体积浓度增加而增大, 超过75 μl/L时粒径随体积浓度的增加变化不明显; ④絮凝体有效密度由粒径大小控制, 粒径大, 有效密度小, 反之亦然, 粒径和有效密度共同决定絮凝体静水沉速, 有效密度和沉速与平均粒径之间均存在良好的幂指数关系.     

Interaction of flexural gravity waves with shear current in shallow water

In the present study, the effect of shear current on the propagation of flexural gravity waves is analyzed under the assumptions of linearized shallow-water theory. Explicit expressions for the reflection and transmission coefficients associated with flexural gravity wave scattering by a step discontinuity in both water depth and current speed are derived. Further, trapping and scattering of flexural gravity waves by a jet-like shear current with a top-hat profile are examined and certain limiting conditions for the waves to exist are derived. The effects of change in water depth, current speed, incident wavelength and the angle of incidence on the group and phase velocities as well as on the reflection and transmission characteristics are analyzed through different numerical results.     

Distribution patterns of interstitial polychaetes in sandy beaches of southern Brazil

This study describes the distribution patterns of interstitial polychaetes along morphodynamic gradients on six exposed sandy beaches in Santa Catarina and Paraná (South Brazil). Three random transects were sampled at two points on each beach, one at the swash and another at the surf zone, in winter and summer conditions. Six sediment replicates were collected at each sampling point using a corer of 4.6 cm internal diameter that removed 10 cm into the sediment. Abundance and composition of interstitial polychaete were correlated to wave height, slope, grain size, CaCO₃, chlorophyll a , omega indexes, temperature and relative tide range using a canonical correspondence analysis (CCA). A factorial ANOVA showed that taxa richness, mean density and Shannon's diversity were significantly higher at the reflective beaches, but average values differ significantly between transects and these differences change according to the beach zones on both sampling dates. PERMANOVA showed that polychaete associations differ among transects according to the beach zones. The composition of interstitial polychaete associations was significantly correlated to beach morphodynamics and features (P < 0.01). Polychaete associations of reflective beaches were more diverse than in other morphodynamic states. Intermediate beaches may also sustain diverse associations due to temporal variability of the morphodynamic patterns. Beaches presenting extreme dissipative morphodynamics and compacted sediments appear to be unfavourable for the occurrence of interstitial polychaetes.     

密度权稳健估计

利用观测量分布函数作为权函数的计算公式,分析了密度权法的抗差性和收敛速率,证实了用密度权法处理含粗差数据是行之有效的。     

Application of probabilistic neural network to design breakwater armor blocks

This study presents a probabilistic neural network (PNN) technique for predicting the stability number of armor blocks of breakwaters. The PNN is prepared using the experimental data of Van der Meer. The predicted stability numbers of the PNN are compared with those of previous studies, i.e. by an empirical formula and a previous neural network model. The agreement index between the measured and predicted stability numbers by PNN are better than those by the previous studies. The PNN offers a way to interpret the network's structure in the form of a probability density function and it is easy to implement. Therefore, it can be an effective tool for designers of rubble mound breakwaters.     

南海北部海区软骨鱼类种类组成和资源密度分布

根据2006～2007年南海北部海区4季的调查资料,分析该海区软骨鱼类的种类组成和资源密度的分布．结果表明,软骨鱼类有32种,分隶于9目17科,优势种为斑鳐、曾氏兔银鲛、褐黄扁缸、橙黄鲨;渔获率D断面最高（10．19kg／h）,B断面最低（4．52kg／h）;渔获率有明显的季节变动,夏季最高（12．16kg／h）,秋季最低（3．71kg／h）,平均渔获率为7．05kg／h;密集分布于180m和140m水深处;其年均资源密度为94．00kg／km^2．文中并讨论合理利用和保护该类群的措施．     

1932年以来北京主城区土地利用空间扩张特征与机制分析

基于历史地图、地形图和遥感影像提取1932年以来,北京主城区城市空间扩张,以及建筑密度空间信息。从城市土地利用扩张特征、建筑密度变化特征以及驱动机制三个方面分析北京城市土地利用扩张过程。研究表明:1984年前,北京城市呈现缓慢增长趋势。1984-1992年在市场经济驱动下,北京进入了第一次大规模快速的扩张阶段。1992-2000年间,由于我国出台了最为严格的耕地保护政策,这一时段城市空间扩张有所放缓。2000-2007年受北京城市建设规划、2008年奥运会场馆建设的影响,北京城市进入了有史以来,最快的扩张阶段。北京城市呈现单中心低密度蔓延,1982年前,城市扩张形态以相对较高的建筑密度紧凑扩张模式为主,1982年以来,呈现严重的低密度蔓延态势,特别是2000-2007年城市在5-6环之间"摊大饼"式与"遍地开花"式低密度蔓延问题更为突出。北京城市空间扩张是重大事件与人口、社会经济等因素共同驱动的结果。而且重大事件驱动对于长时间序列城市空间扩张作用更为突出。     

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