scholarly journals Zonal evolution of Alaskan Stream structure and transport quantified with Argo data

2017 ◽  
Vol 122 (2) ◽  
pp. 821-833 ◽  
Author(s):  
Paige D. Logan ◽  
Gregory C. Johnson
Keyword(s):  
Argo Data ◽  
Stream Structure ◽  
Alaskan Stream

Impacts of urbanization on river system structure: a case study on Qinhuai River Basin, Yangtze River Delta

2014 ◽  
Vol 70 (4) ◽  
pp. 671-677 ◽  
Author(s):  
Xiaomin Ji ◽  
Youpeng Xu ◽  
Longfei Han ◽  
Liu Yang
Keyword(s):  
River Basin ◽  
River System ◽  
Yangtze River Delta ◽  
System Structure ◽  
River Channels ◽  
Stream Structure ◽  
Impervious Area ◽  
The Status ◽  
Urbanized Areas ◽  
Qinhuai River

Stream structure is usually dominated by various human activities over a short term. An analysis of variation in stream structure from 1979 to 2009 in the Qinhuai River Basin, China, was performed based on remote sensing images and topographic maps by using ArcGIS. A series of river parameters derived from river geomorphology are listed to describe the status of river structure in the past and present. Results showed that urbanization caused a huge increase in the impervious area. The number of rivers in the study area has decreased and length of rivers has shortened. Over the 30 years, there was a 41.03% decrease in river length. Complexity and stability of streams have also changed and consequently the storage capacities of river channels in intensively urbanized areas are much lower than in moderately urbanized areas, indicating a greater risk of floods. Therefore, more attention should be paid to the urban disturbance to rivers.

Seasonal Variability in Middepth Gyral Circulation Patterns in the Central East/Japan Sea as Revealed by Long-Term Argo Data

2016 ◽  
Vol 46 (3) ◽  
pp. 937-946 ◽  
Author(s):  
Sok Kuh Kang ◽  
Young Ho Seung ◽  
Jong Jin Park ◽  
Jae-Hun Park ◽  
Jae Hak Lee ◽  
...  
Keyword(s):  
Seasonal Variation ◽  
Seasonal Variability ◽  
Japan Sea ◽  
Circulation Pattern ◽  
Japan Basin ◽  
Wind Stress Curl ◽  
Argo Data ◽  
Circulating Water ◽  
Significant Seasonal Variation ◽  
Water Columns

AbstractTrajectories of Argo floats deployed in the East/Japan Sea from 2001 to 2014 reveal that the middepth gyral circulation pattern of the Japan basin, the central part of the East/Japan Sea, undergoes a seasonal variation. The middepth circulation of the Japan basin is found to be characterized usually by the gyres trapped to the east of the Bogorov Rise (E-gyres) and those extending farther westward into the whole basin (BW-gyres). The E-gyre trajectories are generally associated with the turning of the floats toward deeper regions off the isobaths. This occurs in winter either on the northern or eastern side of the eastern Japan basin. It seems that the upstream part of the otherwise BW-gyre is subject to a strong negative wind stress curl in winter, and there the circulating water columns are driven toward the deeper region, thus triggering the formation of the E-gyre. The topographic effect associated with the Bogorov Rise seems to interfere thereafter in the process of determining the passage of the E-gyre. Otherwise, the water columns continue to flow along the isobaths, hence maintaining the BW-gyre. To the knowledge of the authors, this is the first observational evidence of seasonal variability in the middepth gyral circulation pattern in the East/Japan Sea. It suggests that oceanic middepth circulation, usually known to be quasi steady or slowly varying on climatological time scales, might also undergo a significant seasonal variation as it does in the East/Japan Sea.

scholarly journals Modification of a Kenai eddy along the Alaskan Stream

2012 ◽  
Vol 117 (C8) ◽  
pp. n/a-n/a ◽  
Author(s):  
Hiromichi Ueno ◽  
Ichiro Yasuda ◽  
Sachihiko Itoh ◽  
Hiroji Onishi ◽  
Yutaka Hiroe ◽  
...  
Keyword(s):  
Alaskan Stream

scholarly journals Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3669 ◽  
Author(s):  
Rui Sun ◽  
Qiheng Huang ◽  
Miaomiao Xia ◽  
Jun Zhang
Keyword(s):  
Feature Representation ◽  
Visual Sensor ◽  
Stream Structure ◽  
Temporal Features ◽  
Feature Structure ◽  
End To End ◽  
Global And Local ◽  
Siamese Networks ◽  
Appearance Feature ◽  
Temporal Feature

Video-based person re-identification is an important task with the challenges of lighting variation, low-resolution images, background clutter, occlusion, and human appearance similarity in the multi-camera visual sensor networks. In this paper, we propose a video-based person re-identification method called the end-to-end learning architecture with hybrid deep appearance-temporal feature. It can learn the appearance features of pivotal frames, the temporal features, and the independent distance metric of different features. This architecture consists of two-stream deep feature structure and two Siamese networks. For the first-stream structure, we propose the Two-branch Appearance Feature (TAF) sub-structure to obtain the appearance information of persons, and used one of the two Siamese networks to learn the similarity of appearance features of a pairwise person. To utilize the temporal information, we designed the second-stream structure that consisting of the Optical flow Temporal Feature (OTF) sub-structure and another Siamese network, to learn the person’s temporal features and the distances of pairwise features. In addition, we select the pivotal frames of video as inputs to the Inception-V3 network on the Two-branch Appearance Feature sub-structure, and employ the salience-learning fusion layer to fuse the learned global and local appearance features. Extensive experimental results on the PRID2011, iLIDS-VID, and Motion Analysis and Re-identification Set (MARS) datasets showed that the respective proposed architectures reached 79%, 59% and 72% at Rank-1 and had advantages over state-of-the-art algorithms. Meanwhile, it also improved the feature representation ability of persons.

scholarly journals Effects of mesoscale eddies on the flow of the Alaskan Stream

2008 ◽  
Vol 113 (C7) ◽  
Author(s):  
Wieslaw Maslowski ◽  
Ricardo Roman ◽  
Jaclyn Clement Kinney
Keyword(s):  
Mesoscale Eddies ◽  
Alaskan Stream

scholarly journals Electromechanical Stream-Structure Instabilities

1969 ◽  
Vol 12 (1) ◽  
pp. 109
Author(s):  
Frederick D. Ketterer
Keyword(s):  
Stream Structure

River System Connectivity Analysis of Wuxi’s Central Urban Area Based on Graph Theory

2012 ◽  
Vol 212-213 ◽  
pp. 543-548 ◽  
Author(s):  
Liu Yan Wang ◽  
You Peng Xu ◽  
Ming Jing Yu
Keyword(s):  
Graph Theory ◽  
Urban Area ◽  
Water Environment ◽  
River System ◽  
Yangtze River Delta ◽  
River Network ◽  
Structure Stability ◽  
Network Graph ◽  
Stream Structure ◽  
Wuxi City

Wuxi City is located in the hinterland of Taihu Basin and an important city in Yangtze River Delta Region with a prosperous economy. In the process of urban development, the river system pattern changes a lot. It has an impact on water environment, water ecology and other fields. The central urban area of Wuxi City was selected as the study area. Based on the river system of three periods: 1960s, 1980s and 2009, the rivers were classified into three levels according to the width of channels. The length, acreage and stream structure parameters were calculated. Then from the view of Graph Theory, river system was expressed as network graph, and the vertices, edges and degree of vertices were analyzed. The results show that the changes of rivers of different levels and lakes are not completely the same, but still appear a decreasing trend in general. The river network density and water surface ratio become smaller. Also the complexity and structure stability of river network weaken. The conclusions that the river evolution tends to be trunk and single, the stream structure is simplified and the connectivity of rivers and lakes reduces are verified by the analysis based on Graph Theory as well.

Quantification of Transverse In-Stream Structure Hydraulics

2015 ◽  
Vol 141 (2) ◽  
pp. 04014073 ◽  
Author(s):  
S. Michael Scurlock ◽  
Christopher I. Thornton ◽  
Drew C. Baird ◽  
Steven R. Abt
Keyword(s):  
Stream Structure
Sign in / Sign up

Export Citation Format

Share Document