scholarly journals The complex ecological network’s resilience of the Wuhan metropolitan area

2021 ◽  
Vol 130 ◽  
pp. 108101
Author(s):  
Tao Wang ◽  
Hongbo Li ◽  
Yue Huang
Keyword(s):  
Metropolitan Area ◽  
Wuhan Metropolitan Area

Recognition and zoning optimization of geographical spatial conflict in Wuhan metropolitan area based on multi-functional perspective

2020 ◽  
pp. 002072092098354
Author(s):  
Junfeng Zhang ◽  
Jinyuan Tao ◽  
Lei Xu ◽  
Xiong Zhang ◽  
Yuteng Sun
Keyword(s):  
Metropolitan Area ◽  
Agricultural Production ◽  
Dabie Mountains ◽  
Jianghan Plain ◽  
Functional Perspective ◽  
Urban Construction ◽  
Ecological Protection ◽  
Conflict Zone ◽  
Wuhan Metropolitan Area ◽  
Geographical Space

Identifying geographical spatial conflicts and optimizing development patterns are important prerequisites for eliminating the conflicts of geographical spatial conflict. The paper takes the Wuhan Metropolitan Area as an example. Using grid-scale data, we construct a multi-functional suitability evaluation index system for geographical space, starting from three dimensions: ecological protection, agricultural production and urban construction. The multi-index comprehensive evaluation method is used to measure the geographical spatial suitability level and identify the characteristics of geographical spatial conflict patterns. Three-dimensional Rubik's cube model is used to divide the space conflict types and optimize the partition. We found that the areas with suitable ecological protection functions and more suitable areas are mainly distributed near the waters and the Dabie Mountains and Mufu Mountains with relatively high altitude in Wuhan Metropolitan Area. Suitable areas for agricultural production functions are concentrated in the Jianghan Plain. Suitable areas for urban construction functions are concentrated around urban areas, established towns, and major transportation routes. Regions with high intensity of land and space conflicts are mainly located in the central and northwestern parts of the Wuhan Metropolitan Area. Regions with low levels of conflict are concentrated in the west, northeast, and southeast regions of the Wuhan Metropolitan Area. The degree of geographical spatial conflict in Wuhan Metropolitan Area can be divided into three primary zones and 12 secondary zones, which are intense conflict zone, general conflict zone, and weak conflict zone. Based on multi-functional perspective, identifying and analyzing the types of geographical spatial conflict will help locate the development direction of different conflict areas and provide theoretical and technical support for the optimization of geographical space.

scholarly journals Decomposition of Net CO2 Emission in the Wuhan Metropolitan Area of Central China

2016 ◽  
Vol 8 (8) ◽  
pp. 784 ◽  
Author(s):  
Xin Yang ◽  
Chunbo Ma ◽  
Anlu Zhang
Keyword(s):  
Metropolitan Area ◽  
Co2 Emission ◽  
Central China ◽  
Wuhan Metropolitan Area

scholarly journals Spatial Agglomeration of Manufacturing in the Wuhan Metropolitan Area: An Analysis of Sectoral Patterns and Determinants

2020 ◽  
Vol 12 (19) ◽  
pp. 8005
Author(s):  
Lei Luo ◽  
Zhenhua Zheng ◽  
Jing Luo ◽  
Yuqiu Jia ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Metropolitan Area ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Location Factors ◽  
Factors Affecting ◽  
Industrial Parks ◽  
Spatial Reconstruction ◽  
Spatio Temporal ◽  
The Government ◽  
Wuhan Metropolitan Area

The important role of the entity economy, especially manufacturing, has been further highlighted after the outbreak of COVID-19. This study fills a research gap on manufacturing in the Wuhan Metropolitan Area by analyzing the spatio-temporal evolution patterns and characteristics of manufacturing, exploring the major location factors causing spatial reconstruction and comparing the effect intensities of the different factors in the manufacturing sector. From 2003 to 2018, the process of industrial suburbanization in the Wuhan Metropolitan Area continued to strengthen and currently the overall spatial pattern of manufacturing in the Wuhan Metropolitan Area is characterized by spreading in metropolitan areas and aggregation in industrial parks. The results of a spatial metering model showed that the dominant factors affecting the layout of manufacturing included innovation and technical service platforms, industrial parks, the number of large enterprises, living convenience, and air quality. However, the effect intensity of the different location factors varied among industries. The findings may help the government to understand the characteristics of agglomeration and spreading in the manufacturing industry and, in accordance with the dominant factors affecting the location of this industry, rationally develop ideas for adjusting the industrial layout in the post-coronavirus age.

scholarly journals MCR-Modified CA–Markov Model for the Simulation of Urban Expansion

2018 ◽  
Vol 10 (9) ◽  
pp. 3116 ◽  
Author(s):  
Xiuquan Li ◽  
Meizhen Wang ◽  
Xuejun Liu ◽  
Zhuan Chen ◽  
Xiaojian Wei ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Metropolitan Area ◽  
Urban Expansion ◽  
Ecological Factors ◽  
Sustainable Urban Development ◽  
Ecological Regions ◽  
Ca Model ◽  
Wuhan Metropolitan Area ◽  
Mcr Model

Ecosystem balance is an important factor that affects healthy and sustainable urban development. The traditional cellular automata (CA) model considers only a few ecological factors, however, the MCR model can account for ecological factors. In previous studies, few ecological factors were added to the CA model. Thus, the minimal cumulative resistance (MCR) model is combined with the CA and Markov models for the simulation of urban expansion. To verify the reliability of the method, the Wuhan metropolitan area was selected as a representative urban area, and its expansion in the past and future was simulated. Firstly, seven influential factors were selected from the perspective of location theory. The transformation rules of the comprehensive resistance surface followed by the modified CA–Markov model were constructed on the basis of the MCR model. The expansion of the Wuhan metropolitan area in 2013 was simulated on the basis of the 1996 and 2006 maps of land-use status, and the kappa coefficient was used as an index to evaluate the accuracy of the proposed method. Then, the expansion of the Wuhan metropolitan area in 2020 was simulated. Finally, the simulation results obtained with and without the MCR model were compared and analysed from the macro- and micro levels. Results show that the prediction accuracy of the two models differed for ecological regions, such as woodlands and water bodies. The similarities between the regions that were overestimated and underestimated by the MCR-modified CA–Markov model and non-MCR model may be attributed to solution of the land-use transfer matrix with the Markov model. The accuracy of the MCR-modified CA–Markov model for predicting forests, water and other ecological regions was higher than that of the Markov model. Therefore, the proposed MCR-modified CA–Markov model has potential applications in environmentally-conscious urban expansion.

scholarly journals Assessment of the Sustainable Utilization Level of Water Resources in the Wuhan Metropolitan Area Based on a Three-Dimensional Water Ecological Footprint Model

Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3505
Author(s):  
Dongzhe Liang ◽  
Hongwei Lu ◽  
Liyang Feng ◽  
Lihua Qiu ◽  
Li He
Keyword(s):  
Water Resources ◽  
Metropolitan Area ◽  
Capital Stock ◽  
Urban Areas ◽  
Ecological Footprint ◽  
Natural Capital ◽  
Three Dimensional ◽  
Sustainable Utilization ◽  
Wuhan Metropolitan Area ◽  
Water Resources Utilization

The shortage and overexploitation of water resources restrict the sustainable development of metropolitan areas. To evaluate the sustainable utilization level of water resources, we identified the occupancy of natural capital stock and the consumption of natural capital flow by water resources consumption and analyzed the factors influencing water resources consumption in metropolitan area development. We took the Wuhan Metropolitan Area in China from 2010 to 2019 as the research object and introduced footprint depth and size, the water ecological footprint (WEF) model was expanded into the three-dimensional WEF model. Based on this model, an evaluation system for the sustainable utilization level of water resources was constructed with five indices—water ecological deficit, water ecological surplus, water ecological pressure, WEF depth, and WEF size. Finally, the driving factors of WEF change were analyzed using the Logarithmic Mean Divisia Index. The evaluation of the sustainable utilization level of water resources showed that the Wuhan Metropolitan Area as a whole experienced water ecological surplus from 2010 to 2019, but there were different degrees of water ecological deficit in its inner urban areas, and the most serious cumulative deficit was 5.02 ha/cap in Ezhou. In 2011 and 2019, the sustainable utilization level of water resources in the metropolitan area reached a relatively unsustainable state. Xianning was the urban area with the most sustainable utilization level of water resources. During the study period, the metropolitan area did not occupy the natural capital stock of water resources, and the natural capital flow of water resources in the inner urban areas could meet the demand of the current consumption of the region in 2010 and 2016. The analysis of the driving factors of WEF change showed that economic development effect and population pressure effect had a positive driving effect on WEF change, while WEF intensity effect and water resources carrying capacity effect had the opposite effect. Finally, according to the research results, it can be seen that improving the efficiency of water resources utilization, protecting the natural capital stock of water resources, realizing differentiated regional development through the market economy and developing water policy can be helpful to improve the level of sustainable water resources utilization.

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