Evaluation on geological environment carrying capacity of mining city – A case study in Huangshi City, Hubei Province, China

Xi, Xi; Wang, Shangxiao; Yao, Liwei; Zhang, Yanke; Niu, Ruiqing; Zhou, Yuke

doi:10.1016/j.jag.2021.102410

Cited by 17 publications

(5 citation statements)

References 36 publications

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“…From the perspective of land resource utilization, an increase in construction scale creates conditions for adjusting the land use structure, promoting the optimization of industrial structure, and improving the quality of economic development [50]. In terms of land use form, the high-density buildings in construction land can accommodate more population and industrial activities, which is the main manifestation of the urban construction scale, leading to high agglomeration economic benefits [51]. From the perspective of land function, urban construction promotes the transition of land from production and ecological functions to primarily carrying functions [52].…”

Section: Urban Development (Ud)mentioning

confidence: 99%

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Tang

Yuan

Tian

2023

Land

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After a period of rapid development, the process of urbanization in China has gradually shifted from “scale expansion” to “enhanced quality”. The scarcity of urban land resources has created constraints on resources and economic development. This paper examines the carrying capacity of urban land resources from the perspective of urban renewal. A conceptual model of the driving mechanism of land comprehensive carrying capacity is constructed, incorporating six dimensions and 22 indicators, including urban renewal and urban ecology. Through questionnaire surveys and structural equation modeling, feedback data are analyzed, and measurement models, structural models, and mediation effects are examined to analyze the causal paths of factors in different dimensions on the comprehensive carrying capacity of urban land. The research results indicate that all six dimensions in the conceptual model have a direct positive impact on the land carrying capacity. In terms of direct effects, the influencing factors are ranked in descending order of magnitude as follows: urban development, urban disaster prevention and mitigation capacity, infrastructure development, urban renewal, social economy, and urban ecology. In terms of overall effects, factors are ranked in descending order of magnitude as follows: urban development, social economy, urban ecology, urban renewal, urban disaster prevention and mitigation capacity, and infrastructure development.

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Section: Urban Development (Ud)mentioning

confidence: 99%

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Tang

Yuan

Tian

2023

Land

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“…Therefore, we attempt to represent the fragile ecological environment of Meigu County using NDVI. Compared with the relevant studies, we did not select the variables such as stratigraphic lithology, distance from water, or distance from fault (Xi et al, 2021;Wang et al, 2022), because the topography of the study area is highly undulating and significantly different from the twodimensional planar analysis, and the above factors can hardly reflect the variability of the variables in the vertical dimension. Finally, the explanatory variables include elevation, slope, aspect, normalized difference vegetation index (NDVI), gross domestic product (GDP), population density, rainfall, and temperature (Table 1; Figure 4).…”

Section: Dependent and Explanatory Variablesmentioning

confidence: 99%

“…. (2022),Oliveira et al (2014),Qi et al (2010), Lv et al (2022,Xi et al (2021, Wang et al . (2014,Wang et al (2022), al.…”

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confidence: 99%

Spatial distribution and influencing factors of mountainous geological disasters in southwest China: A fine-scale multi-type assessment

Shu

Chen

Amani-Beni

et al. 2022

Front. Environ. Sci.

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Geological disasters have long been a constant threat to socioeconomic development and human life and property. Many studies focus on the occurred geological disasters and ignore the potential risk events. Fine-scale multi-type analysis of Potential Geological Disasters Spots (PGDSs) is a necessary but insufficiently explored research field in China’s mountainous areas. Taking Meigu County (Sichuan Province, Southwest China), a typical disaster-prone region, as the study area. Average nearest neighbor (ANN), standard deviational ellipse (SDE), kernel density estimation (KDE), and ordinary least squares (OLS) regression are used to assess the spatial distribution of potential geological disasters spots and their influencing factors. The findings show that: potential geological disasters spots have a significant spatial heterogeneity and exhibited a prominent clustering characteristic. They were distributed in an elevation range of 1,500–2000 m, which receives an average monthly rainfall of more than 240 mm, as well as in highly foliated (0.6 < Normalized Difference Vegetation Index (NDVI) < 0.8), west-facing (247.5–292.5°), and slopes of 10–20°. In addition, slope, aspect, population density, and rainfall were found as the main influencing factors. The results provide practical rural development measures with support for potential geological disasters spots avoidance and preparedness.

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“…The development of mining cities in the YREB has attracted attention in many studies [23][24][25][26][27], including sustainable development of the WEE. Li et al (2016) studied the distribution characteristics of heavy metal pollution in a copper mining area of Yalong River through field sampling surveys, combing with GIS and remote sensing technology [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree

Wang

Lin

Cheng

et al. 2022

IJERPH

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The Yangtze River Economic Belt (YREB) is the core region for the security of mineral resources in China and is a strategic water source containing rich water resources. Coordinating the security of mineral resources and water resources in the YREB is a key problem. Establishing and optimizing the water ecological environment (WEE) is crucial for addressing this problem in mining cities, which are the main bases for the supply of mineral resources. This study applies the cloud model, CV-TOPSIS, the standard deviation ellipse, and the coupling coordination degree model to evaluate the WEE and the coordinated development state, and to optimize the WEE. The results show that: (1) the WEE of mining cities in the YREB is generally good; (2) the protection of WEE in most mining cities has achieved significant results recently, and the results in the downstream are more remarkable than those in the mid-upstream; (3) the coordinated development of WEE in regenerative mining cities is better than that of mature and declining cities; and (4) most mining cities still belong to the lagging type of water environment (heavy metal pollution has been better treated and the threat of water ecological security caused by heavy metal pollution is low). This study suggests improvements to the sewer system, promotes WEE management in the mid-upstream, and propels the transformational development of mature and declining mining cities in advance.

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Evaluation on geological environment carrying capacity of mining city – A case study in Huangshi City, Hubei Province, China

Cited by 17 publications

References 36 publications

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Analysis of the Driving Mechanism of Land Comprehensive Carrying Capacity from the Perspective of Urban Renewal

Spatial distribution and influencing factors of mountainous geological disasters in southwest China: A fine-scale multi-type assessment

Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree

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