scholarly journals Research on the Influencing Factors of Urban Ecological Carrying Capacity Based on a Multiscale Geographic Weighted Regression Model: Evidence from China

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1313
Author(s):  
Ke Liu ◽  
Xinyue Xie ◽  
Qian Zhou
Keyword(s):  
Spatial Distribution ◽  
Influencing Factors ◽  
Carrying Capacity ◽  
Evaluation System ◽  
Evaluation Method ◽  
River Delta ◽  
Ecological Resilience ◽  
Weighted Regression ◽  
Spatial And Temporal Patterns ◽  
Ecological Carrying Capacity

Based on the comprehensive evaluation method, a comprehensive urban ecological carrying capacity (UECC) evaluation system is established. It includes ecological support, ecological resilience, and ecological pressure. Multiscale geographically weighted regression (MGWR) was used to conduct a thorough examination of the spatial and temporal patterns, and the factors that influenced the UECC of 286 prefecture-level cities in China from 2010 to 2019. The results show that (1) China’s UECC index ranges from 0.0233 to 0.2811 in 2019, which is still at a low level. (2) The spatial distribution is relatively stable: high-value agglomerations of UECC are distributed primarily in the Yangtze River Delta and Pearl River Delta, while low-value agglomerations are primarily distributed in the regions in the Central Plains. (3) All influencing factors have a positive effect on the improvement of UECC and are heterogeneous in spatial distribution. Lastly, this paper gives corresponding suggestions, so that governments can formulate differentiated policies and effectively improve UECC.

scholarly journals Study of an evaluation method for water resources carrying capacity based on the projection pursuit technique

2017 ◽  
Vol 17 (5) ◽  
pp. 1306-1315
Author(s):  
Hongbo Liu ◽  
Yunfeng Liu ◽  
Lingjun Li ◽  
Hongxia Gao
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Projection Pursuit ◽  
Development Planning ◽  
The Sustainable Development ◽  
Water Resources Carrying Capacity ◽  
Capacity Evaluation

It is of great significance to establish a scientific and reasonable water resources carrying capacity evaluation system and evaluation method on the basis of studying the interdependence and mutual relations of water resources, society, economy and the ecological environment. This can guide water resources utilization and economic and social development planning, and promote the sustainable development of water resources and the socio-economic system. Projection pursuit technology can achieve automatic index selection and index weight confirmation. When used to assess water resources carrying capacity, the subjectivity and uncertainty of index weights can be avoided. Meanwhile, it can also be used to optimize the index system, and can improve the accuracy of evaluation results and discrimination. In this paper, the projection pursuit grade model of water resources carrying capacity is established. The evaluation criteria are determined by combining the theory with practice. Grades I to IV indicate that the water resources capacity declines gradually. This is the first study of water resources carrying capacity in four municipalities in China. The results show that the water resources carrying capacity of the four municipalities in 2012 belong to the third level, Chongqing is close to the second level and Tianjin is close to the fourth level.

scholarly journals Quantitative Evaluation of the Eco-Environment in a Coalfield Based on Multi-Temporal Remote Sensing Imagery: A Case Study of Yuxian, China

2019 ◽  
Vol 16 (3) ◽  
pp. 511 ◽  
Author(s):  
Xue Wang ◽  
Kun Tan ◽  
Kailei Xu ◽  
Yu Chen ◽  
Jianwei Ding
Keyword(s):  
Quantitative Evaluation ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Mining Area ◽  
Vegetation Coverage ◽  
Landsat 8 ◽  
Ecological Carrying Capacity ◽  
Landsat 7 ◽  
Environment Index

With the exploitation of coalfields, the eco-environment around the coalfields can become badly damaged. To address this issue, “mine greening” has been proposed by the Ministry of Land and Resources of China. The sustainable development of mine environments has now become one of the most prominent issues in China. In this study, we aimed to make use of Landsat 7 ETM+ and Landsat 8 OLI images obtained between 2005 and 2016 to analyze the eco-environment in a coalfield. Land cover was implemented as the basic evaluation factor to establish the evaluation model for the eco-environment. Analysis and investigation of the eco-environment in the Yuxian coalfield was conducted using a novel evaluation model, based on the biological abundance index, vegetation coverage index, water density index, and natural geographical factors. The weight of each indicator was determined by an analytic hierarchy process. Meanwhile, we also used the classic ecological footprint to calculate the ecological carrying capacity in order to verify the effectiveness of the evaluation model. Results showed that the eco-environment index illustrated a slowly increasing tendency over the study period, and the ecological quality could be considered as “good”. The results of the evaluation model showed a strong correlation with the ecological carrying capacity with a correlation coefficient of 0.9734. In conclusion, the evaluation method is a supplement to the time-series quantitative evaluation of the eco-environment, and also helps us to explore the eco-environment in the mining area.

Study about the Evaluation of Ecological Carrying Capacity in Beijing Mountainous Valley Areas - A Case Study of Puwa Valley Region

2014 ◽  
Vol 962-965 ◽  
pp. 2061-2066
Author(s):  
Cui Hong Jiang ◽  
Guang Yong Li ◽  
He Qing Li ◽  
Jin Song Jia ◽  
Bo Liu
Keyword(s):  
Carrying Capacity ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Stress Index ◽  
Coordinated Development ◽  
Comprehensive Evaluation Method ◽  
Ecological Carrying Capacity ◽  
Capacity Evaluation ◽  
Medium Level

On the basis of the ecological carrying capacity connotation and to realize the coordinated development of economics and environment in Beijing mountainous valley areas, ecological carrying capacity evaluation was discussed in order to promote corresponding advices. The comprehensive evaluation index system was built which included ecosystem elasticity level,bearing capacity index and stress index of ecotourism. The comprehensive evaluation method was constructed. The score of ecosystem resilience of Puwa valley region in 2012 was 74.6, which was more stable. The score of carrying capacity of resource and environment was 49.3 which reached medium level. The score of carrying capacity pressure was 84.2 which attained huge pressure. The score of carrying capacity system was 67.0 which was the second level. At last, this study promoted several corresponding advices.

Evaluation of Ecological Carrying Capacity in Beijing Mountainous Valley Areas – A Case Study of Lihuagou Valley Region

2014 ◽  
Vol 1073-1076 ◽  
pp. 2659-2663 ◽  
Author(s):  
Cui Hong Jiang ◽  
Guang Yong Li
Keyword(s):  
Carrying Capacity ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Stress Index ◽  
Coordinated Development ◽  
Comprehensive Evaluation Method ◽  
Ecological Carrying Capacity ◽  
Capacity Evaluation ◽  
Resource And Environment

On the basis of the ecological carrying capacity connotation and to realize the coordinated development of economics and environment in Beijing mountainous valley areas, ecological carrying capacity evaluation was discussed in order to promote corresponding advice. The comprehensive evaluation index system was built which included ecosystem elasticity level，bearing capacity index and stress index of ecotourism. The comprehensive evaluation method was constructed. The score of ecosystem resilience of Lihuagou valley region in 2012 was 78.2, which was more stable. The score of carrying capacity of resource and environment was 71.2 which reached heavy level. The score of carrying capacity pressure was 53.3 which attained medium pressure. The score of carrying capacity system was 76.3 which was the second level. At last, this study promoted several corresponding advice.

Assessment of water ecological carrying capacity using an indicator-based method applied to Tieling City, China

2015 ◽  
Vol 15 (5) ◽  
pp. 940-947
Author(s):  
J. F. Yang ◽  
K. Lei ◽  
S. T. Khu ◽  
F. Qiao ◽  
Q. Liu
Keyword(s):  
Economic Development ◽  
Health Status ◽  
Carrying Capacity ◽  
Pressure Support ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Ecological Carrying Capacity ◽  
Water Ecosystem ◽  
Wide Range ◽  
Socio Economic Development

Water ecological carrying capacity (WECC) refers to the ability of a water ecosystem to support and withstand economic and social development. WECC assessments can provide helpful information for resolving water issues. Since WECC involves a wide range of influence factors, indicator-based methods are useful tools for this type of evaluation. However, there are still some imperfections in the existing indicator-based methods for WECC evaluation, primarily in the aspects of index frameworks, indicator selection and evaluation criteria. Based on the pressure-support force-state index framework, this paper presents an indicator-based WECC evaluation method (PSSM). Using PSSM, overall WECC evaluation can be obtained by assessing the pressure of socio-economic development on the water ecosystem, the support from the water ecosystem for human development, and the health status of the water ecosystem. PSSM is directly focused on the pressure-support effect, and fully considers the determinant influence on WECC of the health status of the water ecosystem. The application of PSSM in Tieling City shows that further reduction in the pressure that comes from socio-economic development is still required, and the health status of the water ecosystem should be further improved.

scholarly journals Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China

2019 ◽  
Vol 16 (22) ◽  
pp. 4442 ◽  
Author(s):  
Zhang ◽  
Chen ◽  
Cai ◽  
Gao ◽  
Zhang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Influencing Factors ◽  
Spatial Data ◽  
Evaluation System ◽  
Negative Impact ◽  
Positive Impact ◽  
Measurement Model ◽  
Spatial Data Analysis ◽  
Urban Resilience ◽  
Pension Insurance

The healthy development of the city has received widespread attention in the world, and urban resilience is an important issue in the study of urban development. In order to better provide a useful reference for urban resilience and urban health development, this paper takes 56 cities in China as the research object, and selects 29 indicators from urban infrastructure, economy, ecology and society. The combination weight method, exploratory spatial data analysis (ESDA) and spatial measurement model are used to explore the spatial distribution of urban resilience and its influencing factors. From 2006 to 2017, the urban resilience of prefecture-level cities in the four provinces showed a wave-like rise. During the study period, the urban resilience values, measured as Moran’s Is, were greater than 0.3300, showing a significantly positive correlation in regard to their spatial distribution. Regarding the local spatial correlation, the urban resilience of the study area had spatial agglomeration characteristics within the province, with a significant distribution of "cold hot spots" in the spatial distribution. From the perspective of the factors that affected urban resilience, the proportion of the actual use of foreign capital in GDP and carbon emissions per 10,000 CNY of GDP had a negative impact and GDP per square kilometer, the proportion of urban pension insurance coverage, the proportion of the population with higher education, and expenditure to maintain and build cities had a positive impact. The development strategy of urban resilience must be combined with the actual situation of the region, and the rational resilience performance evaluation system and the top-level design of urban resilience improvement should be formulated to comprehensively improve urban resilience.

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