scholarly journals Novel Quantitative Method for Assessing Driving Forces of Landscape Succession: Case Study From Yancheng Coast, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhi Wang ◽  
Wanggu Xu ◽  
Xin Xia ◽  
Huanxi Yu ◽  
Yingying Lv ◽  
...  
Keyword(s):  
Driving Force ◽  
Quantitative Method ◽  
Nature Reserve ◽  
Driving Forces ◽  
Anthropogenic Activities ◽  
Landscape Patterns ◽  
Landscape Matrix ◽  
Natural Landscape ◽  
Natural Landscapes ◽  
Spatio Temporal

Variations in landscape patterns can provide key information on the effects human activity has on landscapes, and consequently, have received increased attention in recent years. This paper mainly deals with the spatio-temporal variation and driving force of the landscape pattern on the Yancheng coast using remote sensing and GIS. The results indicate the following: (1) The landscape was mostly farmland from 1984 to 2008, not wetlands. The landscape matrix changed from a situation in which the natural landscape was equal to the artificial landscape in 1984, while the latter was dominant between 1990 and 2008. The area of natural landscape decreased considerably—the proportion of natural landscapes was 51.07% in 1984, while it decreased to 28.82% in 2008. Artificial landscapes increased significantly—the majority of the increased artificial landscapes were farmland and aquaculture ponds. (2) The changes in these landscapes showed a trend, changing from natural landscapes to artificial landscapes. Salinity is the decisive factor of this fixed route o the landscape successions of the coast. (3) Although Yancheng wetland nature reserve was established in 1984 and was designated as a National Nature Reserve in 1992, anthropogenic activities on the Yancheng coast continue apace, and the trend of natural landscape loss has not changed. (4) According to the analysis of the landscape transition rate of the Yancheng coast during each phase, we concluded that the main driving force of coastal landscape succession was anthropogenic activities. Our method provides a novel quantitative method to assess the driving forces behind landscape successions.

Study on Spatio-Temporal Changes of Wetland Landscape Patterns in the Modern Yellow River Delta

2014 ◽  
Vol 955-959 ◽  
pp. 1346-1350 ◽  
Author(s):  
Jun Chang ◽  
Wei Liu ◽  
Tao Li
Keyword(s):  
Driving Forces ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
Landscape Patterns ◽  
Combination Method ◽  
Landscape Index ◽  
Natural Wetlands ◽  
Spatio Temporal ◽  
Modern Yellow River Delta

The wetland distribution in the modern Yellow River Delta is extracted by using a combination method of supervised classification based on the Landsat TM images in 1991, 2001 and 2011. The changes of wetland were analyzed from landscape index in the paper. The result shows that the area of natural wetland degrades, while the area of artificial wetland increases from 1991 to 2011. The transfer trajectory of spatial centroids of the wetland shows that it shifts towards southeast. Man-made driving forces are the main factors that cause natural wetlands degrades.

Changes and driving forces of land use/cover and landscape patterns in Beijing-Tianjin-Hebei region

2012 ◽  
Vol 19 (5) ◽  
pp. 1182-1189 ◽  
Author(s):  
Qiao-Li HU ◽  
Yong-Qing QI ◽  
Yin-Cui HU ◽  
Yu-Cui ZHANG ◽  
Cheng-Ben WU ◽  
...  
Keyword(s):  
Land Use ◽  
Driving Forces ◽  
Landscape Patterns

Spatio-temporal Patterns and Driving Forces of Urban Expansion in Beijing Central City Since 1932

2010 ◽  
Vol 11 (4) ◽  
pp. 428-435 ◽  
Author(s):  
Wenhui KUANG ◽  
Quanqin SHAO ◽  
Jiyuan LIU ◽  
Chaoyang SUN
Keyword(s):  
Driving Forces ◽  
Central City ◽  
Urban Expansion ◽  
Temporal Patterns ◽  
Spatio Temporal

scholarly journals Driving forces on dislocations: finite element analysis in the context of the non-singular dislocation theory

2021 ◽  
Author(s):  
Xiandong Zhou ◽  
Christoph Reimuth ◽  
Peter Stein ◽  
Bai-Xiang Xu
Keyword(s):  
Finite Element ◽  
Dislocation Loop ◽  
Driving Force ◽  
Complex Geometry ◽  
Driving Forces ◽  
Singular Solutions ◽  
Dislocation Model ◽  
Configurational Force ◽  
Element Analysis ◽  
Dislocation Configuration

AbstractThis work presents a regularized eigenstrain formulation around the slip plane of dislocations and the resultant non-singular solutions for various dislocation configurations. Moreover, we derive the generalized Eshelby stress tensor of the configurational force theory in the context of the proposed dislocation model. Based on the non-singular finite element solutions and the generalized configurational force formulation, we calculate the driving force on dislocations of various configurations, including single edge/screw dislocation, dislocation loop, interaction between a vacancy dislocation loop and an edge dislocation, as well as a dislocation cluster. The non-singular solutions and the driving force results are well benchmarked for different cases. The proposed formulation and the numerical scheme can be applied to any general dislocation configuration with complex geometry and loading conditions.

Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

Cities ◽  
2005 ◽  
Vol 22 (6) ◽  
pp. 400-410 ◽  
Author(s):  
Guangjin Tian ◽  
Jiyuan Liu ◽  
Yichun Xie ◽  
Zhifeng Yang ◽  
Dafang Zhuang ◽  
...  
Keyword(s):  
Driving Forces ◽  
Urban Land ◽  
Temporal Dynamic ◽  
Dynamic Pattern ◽  
Spatio Temporal

Driving forces and structural changes of China as a market provider for Korea

2018 ◽  
Vol 22 (3) ◽  
pp. 194-211 ◽  
Author(s):  
Yongqi Feng ◽  
Tianshu Zhang
Keyword(s):  
Steady State ◽  
Driving Force ◽  
Design Methodology ◽  
Structural Changes ◽  
Driving Forces ◽  
Consumption Expenditure ◽  
Input Output ◽  
Content Type ◽  
Fixed Capital Formation ◽  
The Impact

Purpose The purpose of this paper is to provide a better understanding of the driving forces and structural changes of China as a market provider for Korea. This paper gives the answers for the following questions: How do China’s final demands trigger the growth of its imports from Korea? And what’s the impact of China’s final demands on the import in different industries? Design/methodology/approach Based on the Multi-Regional Input-Output model and World Input-Output Table database, this paper constructs the non-competitive imports input-output (IO) table of China to Korea. According to this table, we can calculate the induced imports coefficient and comprehensive induced import coefficients of China’s four final demands for imports from Korea in the 56 industries in China. Findings Among the four driving forces, the strongest one is changes in inventories and valuables. The impact of final consumption expenditure and fixed capital formation is much lower than that of changes in inventories and valuables, but they have a broader impact for the 56 industries. This paper finds out the China’s import induction of the final demands to Korea peaked in 2005 and 2010 and decreased greatly in 2014, so the position of China as market provider for Korea will no longer rise substantially, contrarily it will be in a steady state. Originality/value First, this paper constructs the non-competitive IO table to analyze the market provider issues between two countries and provides practical ways and methods for studies on the issues of imports and market provider. Second, this paper investigates the different roles of four final demands on driving force of China as market provider for Korea and the structural changes of China as a market provider for Korea among 56 industries from 2000 to 2014.

Study on the Steering Performance of Dual-Motor Drive Track Bulldozer

2013 ◽  
Vol 427-429 ◽  
pp. 133-136
Author(s):  
Qiang Song ◽  
Pu Zeng
Keyword(s):  
Simulation Model ◽  
Dynamic Characteristics ◽  
Driving Force ◽  
Driving Forces ◽  
Small Radius ◽  
Motor Drive ◽  
Matlab Simulink ◽  
Simulation Results ◽  
Two Sides

The driving theory and the dynamic characteristics of small radius steering, medium radius steering and big radius steering is analyzed, and the simulation model is established under Matlab/Simulink. Then the track bulldozers steering performance of the three sheerings is simulated. The results show that, at different steering modes, the running states of the two sides driving motors are not the same, and the track driving forces of the two sides vary widely. The track driving force is great in the small radius steering model, while small in the medium and big radius steering models. The simulation results lay the foundation for dual-motor drive track bulldozers steering performance matching.

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