Multiscale gravity measurements to characterize 2020 flood events and their spatio-temporal evolution in Yangtze river of China

2021 ◽  
pp. 127176
Author(s):  
Linsong Wang ◽  
Zhenran Peng ◽  
Xian Ma ◽  
Yuhao Zheng ◽  
Chao Chen
Keyword(s):  
Yangtze River ◽  
Temporal Evolution ◽  
Flood Events ◽  
Gravity Measurements ◽  
Spatio Temporal

scholarly journals Spatio-temporal evolution and mechanism of regional innovation efficiency: Evidence from Yangtze River Delta Urban Agglomeration of China

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253598
Author(s):  
Xianzhong Cao ◽  
Bo Chen ◽  
Yuefang Si ◽  
Senlin Hu ◽  
Gang Zeng
Keyword(s):  
Yangtze River ◽  
Temporal Evolution ◽  
Returns To Scale ◽  
Yangtze River Delta ◽  
Spatial Inequality ◽  
River Delta ◽  
Urban Agglomeration ◽  
Regional Innovation ◽  
Spatio Temporal ◽  
Constant Returns To Scale

Regional innovation is an important research topic in economic geography, the spatio-temporal evolution and mechanism of regional innovation efficiency have recently become a hot for economic geographers. From the perspective of input and output efficiency, this paper constructs evaluation indicator of regional innovation, with the help of Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) models, and Malmquist indicator method of Data Envelopment Analysis (DEA), to analyze regional innovation performance, evolution trend, spatial differentiation, and evolution mechanism of Yangtze River Delta Urban Agglomeration (YRDUA) of China. The results show that: (i) Innovation efficiency of YRDUA is generally low, most of which is less than 80 percent of optimal efficiency; however, it kept rising from 2000 to 2015. (ii) Spatial inequality of regional innovation in YRDUA is significant, with a spatial pattern in the shape of “Z”, composed by Hefei, Nanjing, Shanghai, Hangzhou and Ningbo, innovation efficiency of Shanghai is higher than Zhejiang, Anhui and Jiangsu. (iii) Technology progress is the most important influencing factor, all kinds of changing indicator show a trend of rise, and the total factor productivity is changing significantly. This research can provide theoretical reference for the YRDUA to achieve high-quality integration.

Spatio-temporal evolution and driving effects of the ecological intensity of urban well-being in the Yangtze River Delta

2021 ◽  
pp. 0958305X2110693
Author(s):  
Meijuan Hu ◽  
Suleman Sarwar ◽  
Zaijun Li ◽  
Nianxing Zhou
Keyword(s):  
Yangtze River ◽  
Temporal Evolution ◽  
Economic Effect ◽  
Well Being ◽  
Yangtze River Delta ◽  
River Delta ◽  
Sustainable Urban Development ◽  
The Yangtze River ◽  
Spatio Temporal ◽  
The Yangtze River Delta

The fundamental goal of sustainable urban development is to maximize human well-being with minimum ecological consumption. The ecological intensity of urban well-being (EIWB) achieves an effective linkage among economic, social, and ecological systems, and it is an effective indicator for evaluating urban sustainable development. This study analyzed the spatio-temporal evolution characteristics and driving effects of the ecological intensity of urban well-being over 2000–2019 in the Yangtze River Delta. It was found that as the ecological consumption per unit well-being output decreased gradually, the improvement in well-being level and the increase in ecological consumption were increasingly delinked, and regional EIWB and its sub-dimensions tended to fluctuate. Urban EIWB was dominated by low and lower levels, urban economic well-being (ECWB) was increasingly dominated by the lower type, and urban social well-being (SOWB) and environmental well-being (ENWB) were dominated by the low level. The resource consumption, technology, and well-being effects distinctively inhibited the decrease in regional EIWB and the economic effect exerted an obvious boosting function, whereas environmental consumption effect, scale effect, and efficiency effect had no obvious impact. The variation in urban EIWB was mainly driven by two-factor dominance, featuring economic and technological effects.

scholarly journals Analysis of the Spatio-Temporal Evolution and Factors Influencing the Freight Network in the Middle Reaches of the Yangtze River

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shumin Huang ◽  
Yin Huang ◽  
Xiaofan Zhang ◽  
Sishi Sheng ◽  
Lisha Mao ◽  
...  
Keyword(s):  
Yangtze River ◽  
Temporal Evolution ◽  
Network Motif ◽  
Community Analysis ◽  
Node Degree ◽  
The Yangtze River ◽  
Motif Analysis ◽  
High Tendency ◽  
Factors Influencing ◽  
Spatio Temporal

The study uses python software to crawl O-D big data on the freight information platform and construct a frequency matrix based on freight connections between cities, then forming a freight network. There are 31 cities in the middle reaches of the Yangtze river that form the subject of the research. The study adopts the methods of the node degree, community analysis, network motif analysis, and multielement regression analysis to assess the differences of the spatio-temporal evolution and factors influencing the freight network in 2014 and 2018. The following conclusions can be drawn: (1) the freight network has experienced a change in pattern from “island” to “radial,” and the tightness of the freight network is strengthened. (2) The circulation accumulation of elements causes the change of node degree to have a high tendency of agglomeration of capital and central cities. (3) The phenomenon of “enclave freight” and “freight union” exists in the inner-city group, but the “freight alliance” formed by the “enclave” is relatively loose. (4) With the increase in the scale of the freight network, the module characteristics are gradually simplified. (5) Science and technology run through the entire process of the formation and development of the urban freight network.

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