scholarly journals Research on the Coordination Characteristics and Interaction Between Innovation-driven Development and Green Development of the Yangtze River Economic Belt in China

2021 ◽  
Author(s):  
wei wang ◽  
lei zhou ◽  
wei chen ◽  
chao Wu
Keyword(s):  
Sustainable Development ◽  
Spatial Distribution ◽  
Yangtze River ◽  
The Yangtze River ◽  
Temporal And Spatial Distribution ◽  
Development Index ◽  
Green Development ◽  
Regional Sustainable Development ◽  
Temporal And Spatial ◽  
The Relationship

Abstract Innovation-driven development and green development are both important ways to achieve regional sustainable development. Many studies have focused on innovation-driven dynamic factors and green development impact factors, yet most have paid little attention to the relationship between the two types of factors. This study considers the innovation-driven development and green development evaluation systems of 130 cities in the Yangtze River Economic Belt. Through expert group evaluation, the three dimensions of green production, green life and green ecology are selected to represent the green development index. Innovation input, innovation performance, and innovation potential reflect the innovation-driven development index. The entropy TOPSIS method is used to measure the innovation-driven development index and the green development index of 130 cities in the Yangtze River Economic Belt. Then, a coupling coordination evaluation model and a spatiotemporal heterogeneity analysis model are constructed to discuss the coupling coordination index of regional innovation-driven development and green development in the Yangtze River Economic Belt and to determine its temporal and spatial distribution characteristics. Finally, we choose a spatial panel regression model to explore the relationship between the innovation-driven development index and the green development index of the Yangtze River Economic Belt. The research results show that there is a significant difference between the innovation-driven development index and the green development index of the 130 cities in the Yangtze River Economic Belt in terms of the temporal and spatial distribution. The coordination index of the two has an imbalanced distribution feature, and there is a significant direct or indirect relationship between the two structural indicators in a mathematical sense. This study enhances the academic community's understanding of the interaction between innovation-driven development and green development, provides scientifically based support for green development, offers guidance for the implementation of innovation capabilities, and ultimately supports a policy design facilitating regional sustainable development.

scholarly journals Temporal and Spatial Evolution Features of Precipitable Water in China during a Recent 65-Year Period (1951–2015)

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Hao Wang ◽  
Jianxin He
Keyword(s):  
Spatial Distribution ◽  
Water Vapor ◽  
Transition Period ◽  
Precipitable Water ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Spatial Distribution Characteristics ◽  
Distribution Features ◽  
Temporal And Spatial ◽  
The Relationship

Water vapor in the atmosphere is not only an important greenhouse gas, but also an important factor that significantly affects the variations of global climate and water circulation. This study utilized the National Centers for Environmental Prediction (NCEP) and Climate Prediction Center Merged Analysis of Precipitation (CMAP) reanalysis data to probe the temporal and spatial distribution features of atmospheric precipitable water (PW) in China during a recent 65-year period (1951–2015), and the relationship between PW and actual precipitation was also studied. The temporal and spatial distribution characteristics of PW in China presented an overall decreasing spatial trend from the southeast to northwest direction. The spatial distribution pattern of the first eigenvector demonstrated that the PW in China shows nationwide variation features with a varying amount of PW across different regions. The year 1967 was further identified as an important transition period for the temporal and spatial distribution characteristics of the PW. We also found that the PW had inherent variability of around 30 years. Regarding the relationship with precipitation, PW was most closely correlated with precipitation in the northeastern region and the upper northwestern region in China. Different regions displayed different efficiencies for converting PW to precipitation. The conclusions are useful for understanding the long-term water vapor evolution and its potential effects on precipitation in China.

scholarly journals Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years

2018 ◽  
Vol 11 (1) ◽  
pp. 55 ◽  
Author(s):  
Jieming Chou ◽  
Tian Xian ◽  
Wenjie Dong ◽  
Yuan Xu
Keyword(s):  
Spatial Distribution ◽  
Extreme Precipitation ◽  
Yangtze River ◽  
Central China ◽  
Economic Losses ◽  
Climate Indices ◽  
The Yangtze River ◽  
Flood Disasters ◽  
Increasing Trend ◽  
Temporal And Spatial

Understanding the temporal and spatial distribution in disasters plays an important role in disaster risk management. The present study aims to explore the long-term trends in drought and floods over China and estimate the economic losses they cause. A peak-over-threshold approach is used to identify flood peaks, and the relationship between the disasters and climate indices is investigated using Poisson regression. The major results are as follows: (1) the northeastern part of China was severely affected by drought disasters (average damaged area was 6.44 million hectares); (2) the northern part of East China and Central China upstream of the Yangtze River were severely affected by flood disasters (average damaged area was 3.97 million hectares); (3) in the Yangtze River Basin, there are increasing trends in terms of drought and extreme precipitation, especially upstream of the Yangtze River, accompanied by severe disaster losses; and (4) by combining the trends in drought and extreme precipitation days with the spatial distribution of damaged areas, the study indicates that the increasing trend in droughts has shifted gradually from north to south, and the increasing trend in extreme precipitation gradually has shifted from south to north.

scholarly journals Distribution characteristics of nitrogen and the related microbial community in the surface sediments of the Songhua River

RSC Advances ◽  
2021 ◽  
Vol 11 (43) ◽  
pp. 26721-26731
Author(s):  
Congyu Li ◽  
Zhen Zhong ◽  
Wenfu Wang ◽  
Haiyan Wang ◽  
Guokai Yan ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Microbial Community ◽  
Surface Sediments ◽  
River Sediments ◽  
Distribution Characteristics ◽  
Temporal And Spatial Distribution ◽  
Songhua River ◽  
Temporal And Spatial ◽  
The Relationship ◽  
The Songhua River

In this study, temporal and spatial distribution of nitrogen in the Songhua River sediments and distribution characteristics of related microbes as well as the relationship between them were investigated.

scholarly journals The relationship between key natural and social factors and the transmission of novel coronavirus disease 2019 in China

2020 ◽  
Author(s):  
Shengnan Lin ◽  
Yaman Li ◽  
Jia Rui ◽  
Yao Wang ◽  
Ruixin Wang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Population Density ◽  
Social Factors ◽  
Exponential Model ◽  
Temporal And Spatial Distribution ◽  
Medical Institutions ◽  
Health Practitioners ◽  
Temporal And Spatial ◽  
Novel Coronavirus ◽  
The Relationship

Abstract Background Novel coronavirus disease 2019 (COVID-19) has become a global pandemic. This study aims to explore the relationship between key natural and social factors and the transmission of COVID-19 in China. Methods This study collected the number of confirmed cases of COVID-19 in 21 provinces and cities in China as of February 28, 2020. Three provinces were included in the sample: Hainan, Guizhou, and Qinghai. The 18 cities included Shanghai, Tianjin and so on. Key natural factors comprised monthly average temperatures in the January and February 2020 and spatial location as determined by longitude and latitude. Social factors were population density, Gross Domestic Product (GDP), number of medical institutions and health practitioners; as well as the per capita values for GDP, medical institutions, and health practitioners. Excel was used to collate the data and draw the temporal and spatial distribution map of the prevalence rate (PR) and the proportion of local infection (PLI). The influencing factors were analyzed by SPSS 21.0 statistical software, and the relationship between the dependent and independent variables was simulated by 11 models. Finally, we choose the exponential model according to the value of R2 and the applicability of the model. Results The temporal and spatial distribution of the PR varies across the 21 provinces and cities identified. The PR generally decreases with distance from Hubei, except in the case of Shenzhen City, where the converse is observed. The results of the exponential model simulation show that the monthly minimum, median, and maximum average temperatures in January and February, and the latitude and population density are significant and thus will affect the PLI. The corresponding values of R2 are 0.297, 0.322, 0.349, 0.290, 0.314, 0.339, 0.344, and 0.301. The effects of other factors were not statistically significant. Conclusions Among the selected key natural and social factors, higher temperatures may decrease the transmission of COVID-19. From this analysis, it is evident that if the temperature decreases by 1℃, the average PLI increases by 0.01. Further, it was established that locations at more northern latitudes had a higher PLI, and population density showed an inverse relationship with PLI.

scholarly journals Spatial Conflict of Production–Living–Ecological Space and Sustainable-Development Scenario Simulation in Yangtze River Delta Agglomerations

2020 ◽  
Vol 12 (6) ◽  
pp. 2175 ◽  
Author(s):  
Gang Lin ◽  
Dong Jiang ◽  
Jingying Fu ◽  
Chenglong Cao ◽  
Dongwei Zhang
Keyword(s):  
Sustainable Development ◽  
Yangtze River ◽  
Industrial Development ◽  
Urban Expansion ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Regional Sustainable Development ◽  
The Yangtze River Delta

Production–living–ecological space (PLES) is a recent research hotspot on land planning and regional sustainable development in China. Taking the Yangtze River Delta agglomerations as a case study, this paper establishes a spatial-conflict index to identify the PLES conflicts, and then builds a cellular-automaton (CA) Markov model to simulate the PLES pattern in 2030 and to evaluate the influence on PLES conflicts under two scenarios. Results showed that the ecological space (ES) and the living–productive space (LPS) of the Yangtze River Delta agglomerations showed a descending tendency in 2010–2015, whereas ecological–productive space (EPS) and productive–ecological space (PES) reflected a small increase. EPS and PES had squeezed ES and LPS with urbanization and industrial development in this region. Meanwhile, the spatial conflicts of PLES worsened during the period, with the average of the spatial-conflict index (SCI) shifting from 0.283 to 0.522, and seemed to gain momentum. On the basis of scenario analysis for 2030, it was concluded that the “ecological red line policy”, appropriate restriction of urban expansion, and ecological management of the bank of the Yangtze River are helpful in alleviating PLES conflicts, and contribute to spatial structure and harmonizing. The results of this study are expected to provide valuable implications for spatial planning and sustainable development in the Yangtze River delta agglomerations.

scholarly journals Temporal and Spatial Distribution of Clonal Complexes of Streptococcus pneumoniae Isolates Resistant to Multiple Classes of Antibiotics in Belgium, 1997 to 2004

2008 ◽  
Vol 52 (9) ◽  
pp. 3216-3220 ◽  
Author(s):  
Heather Amrine-Madsen ◽  
Johan Van Eldere ◽  
Robertino M. Mera ◽  
Linda A. Miller ◽  
James A. Poupard ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Streptococcus Pneumoniae ◽  
Pneumococcal Conjugate Vaccine ◽  
Multilocus Sequence Typing ◽  
Invasive Disease ◽  
Temporal And Spatial Distribution ◽  
Time Period ◽  
Temporal And Spatial ◽  
The Relationship ◽  
Over Time

ABSTRACT We performed multilocus sequence typing on 203 invasive disease isolates of Streptococcus pneumoniae to assess the clonal compositions of isolates from two provinces in Belgium and to determine the relationship between clones and antibiotic nonsusceptibility, particularly nonsusceptibility to two or more classes of antibiotics. The frequency of multiclass nonsusceptibility (MCNS) was higher in the province of West Flanders (38%) than in Limburg (21%). This difference was largely attributable to five clonal complexes (CC156, CC81, CC143, CC193, and CC1848), which contained high proportions of isolates with MCNS (>47%) and which were circulating at higher frequencies in West Flanders. The S. pneumoniae population changed over time, as CC156 and CC81 declined in frequency from 1997 to 1999 to 2001 to 2004. Over the same time period, the frequency of pneumococcal conjugate vaccine 7 (PCV7) serotypes dropped from 69% to 41%. In contrast, the nonvaccine serotype 19A increased in frequency from 2.1% to 6.6%. None of these changes can be attributed to PCV7 vaccine, as it was not in use in Belgium during the time period studied. There was evidence that MCNS clones flowed from West Flanders to Limburg.

scholarly journals Impacts of Precipitation and Temperature on Changes in the Terrestrial Ecosystem Pattern in the Yangtze River Economic Belt, China

2019 ◽  
Vol 16 (23) ◽  
pp. 4872
Author(s):  
Xiang ◽  
Zhang ◽  
Song ◽  
Li
Keyword(s):  
Sustainable Development ◽  
Spatial Autocorrelation ◽  
Forest Ecosystem ◽  
Yangtze River ◽  
Terrestrial Ecosystem ◽  
Ecological Environment ◽  
The Yangtze River ◽  
Temporal And Spatial ◽  
The Impact ◽  
Precipitation And Temperature

The terrestrial ecosystem plays an important role in maintaining an ecological balance, protecting the ecological environment, and promoting the sustainable development of human beings. The impacts of precipitation, temperature, and other natural factors on terrestrial ecosystem pattern change (TEPC) are the basis for promoting the healthy development of the terrestrial ecosystem. This paper took the Yangtze River Economic Belt (YREB) as the study area, analyzed the temporal and spatial characteristics of TEPC from 1995 to 2015, and used spatial transfer matrix and terrestrial ecosystem pattern dynamic degree models to analyze the area transformation between different terrestrial ecosystem types. A bivariate spatial autocorrelation model and a panel data regression model were used to study the impacts of precipitation and temperature on TEPC. The results show that: (1) The basic pattern of the terrestrial ecosystem developed in a relatively stable manner from 1995 to 2005 in the YREB, and transformations between the farmland ecosystem, forest ecosystem, and grassland ecosystem were more frequent. The temporal and spatial evolution of precipitation and temperature in the YREB showed significant regional differences. (2) There was a significant negative bivariate global spatial autocorrelation effect of precipitation and temperature on the area change of the forest ecosystem, and a positive effect on the area change of the settlement ecosystem. The local spatial correlation between precipitation or temperature and the terrestrial ecosystem showed significant scattered distribution characteristics. (3) The impacts of precipitation and temperature on TEPC showed significant regional characteristics on the provincial scale. The impact utility in the tail region is basically negative, while both positive and negative effects exist in the central and head regions of the YREB. Moreover, the impact showed significant spatial heterogeneity on the city scale. (4) The Chinese government has promulgated policies and measures for strategic planning, ecological environment protection, and economic support, which could effectively promote ecological and sustainable development of the YREB and promote the coordinated development of the ecology, economy, and society in China.

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