Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China

Zhao, Fang; He, Manchao; Wang, Yuntao; Tao, Zhigang; Li, Chun

doi:10.1007/s11629-021-6860-x

Cited by 14 publications

(3 citation statements)

References 46 publications

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“…The evaluation of ecological quality to study the value of its services has received increasing attention and importance from scholars worldwide [6][7][8][9]. At present, the evaluation of ecological environment quality internationally has entered the stage of comprehensive evaluation, a stage that covers the ecological research network of almost all ecological factors such as species [10], vegetation [11], hydrology [12] and soil [13], and the comprehensive analysis of the impact of human activities, land use and management policies on the ecological environment [14][15][16]. However, from the perspective of research objects, most of the current studies focus on natural ecosystem types such as biomes, forests, wetlands, and marine nature reserves [16][17][18], and there is a lack of research on the evaluation of social ecological environment quality, and most of the evaluation methods rely on the analytic hierarchy process [19][20][21][22], with many qualitative components, making it difficult to make an objective quantitative evaluation of It is difficult to make an objective quantitative evaluation of ecological environment quality.…”

Section: Introductionmentioning

confidence: 99%

Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP

Zhang,

Peng,

Zhu

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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Since the natural ecological environment tends to change slowly and the indicators are easy to quantify in a graded manner, while the social ecological environment tends to change rapidly under the intervention of human production and life, and it is difficult to quantify with the same grading standard in different regions and at different times. Therefore, we propose a fuzzy comprehensive evaluation model for the evaluation of the quality of natural ecological environment and a PCA-AHP comprehensive evaluation model for the evaluation of the quality of social ecological environment. Based on the hierarchical analysis method, 12 indicators were selected from five criteria levels, namely water and soil conservation, ecological stability, water conservation, soil improvement and air purification, and the affiliation degree of each indicator to the set of comments was calculated using the fuzzy comprehensive evaluation method. Taking the evaluation of ecological and environmental quality of 31 provincial regions in China as an example, 12 indicators were selected from three criterion levels, namely natural conditions, social economy and environmental pollution, and the combined weight values of each indicator were calculated using PCA and AHP, and the final ecological and environmental quality ranking of each province was obtained based on the data of each of the 31 provinces. The two experimental results were highly consistent with the actual expert evaluations, verifying the rationality of the Fuzzy comprehensive evaluation model and the PCA-AHP comprehensive evaluation model.

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Section: Introductionmentioning

confidence: 99%

Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP

Zhang,

Peng,

Zhu

2023

Second International Conference on Sustainable Technology and Management (ICSTM 2023)

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“…This index integrates four leading natural ecological factor indicators: greenness, wetness, heat and dryness, easy access to indicators, objective and reliable evaluation results, and the ability to visualize the eco-environmental quality. In recent years, the RSEI has been widely used for ecological and environmental quality assessment at the urban [8,20,21], mining [22][23][24] and watershed scales [25,26]. Currently, studies on the eco-environmental quality of urban agglomerations are mainly concentrated in the Beijing-Tianjin-Hebei region and the Guangdong-Hong Kong-Macao region.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Evolution of Land Use Change and Eco-Environmental Effects in the Chang-Zhu-Tan Core Area

2023

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In the past 20 years, the integration process of the Chang-Zhu-Tan region has been accelerating, and land use has undergone significant changes. Land use change is a fundamental factor causing changes in the quality of the ecological environment. It is crucial to analyze land use change in the context of rapid urbanization and its impact on the ecological environment to promote sustainable and high-quality regional development. This study takes the Chang-Zhu-Tan core area, which has the highest development and construction intensity, as the study area. Based on the Google Earth Engine (GEE) platform, the land use information is extracted using Landsat remote sensing image data and the random forest method. The remote sensing ecological index (RSEI) is constructed to analyze the ecological and environmental effects of land use change based on the spatial and temporal changes of land use types and ecological and environmental quality in the Chang-Zhu-Tan core area from 2000 to 2020. The results show that the most critical land use change in the study area from 2000 to 2020 is mainly the sharp increase in construction land, accompanied by a continuous decrease in forest and cropland. During this period, the eco-environmental quality of the study area showed a declining trend, with significant differences in spatial distribution, generally showing a distribution pattern of suburban counties outperforming central urban areas. In addition, the distribution and changes in land use and ecological environment quality coincide spatially. Different land use types have different impacts on ecological environment quality, with the conversion of forest and cropland to construction land being the main reason for the deterioration of eco-environmental quality in the study area. This study provides a basis for the coordinated development of the ecological environment and social economy in the Chang-Zhu-Tan area.

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“…It is susceptible to more significant damage from human disturbance and has high ecological rehabilitation costs. The destruction of some sources will negatively impact the overall ecological environment because of the more systematic character of the ecological sources in cities made up of continuous mountains and water systems [ 40 , 41 ]. In summary, restoring ecological key points to improve the integrity of a complex mountainous urban ecology is well suited for this purpose.…”

Section: Introductionmentioning

confidence: 99%

Ecological Restoration Strategies for Mountainous Cities Based on Ecological Security Patterns and Circuit Theory: A Case of Central Urban Areas in Chongqing, China

Zhang

Zhu

et al. 2022

IJERPH

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Urban ecosystems are under enormous pressure in the background of rapid urbanization. Mountainous cities are more prone to degradation due to dramatic topography. Ecological security patterns combined with circuit theory can effectively identify ecological barriers and “pinch points” and propose targeted ecological restoration and protection strategies. In order to ensure the ecosystem health and sustainable development of mountainous cities, this paper applies the MSPA model, Invest model, MCR model, and Linkage Mapper Tools to identify the ecological source regions, eco-corridors, and “key points” in the central metropolitan area of Chongqing. The study shows that: (1) There are 43 ecological sources in the central urban area of Chongqing, with a total area of 986.56 km2, and it forms a linear distribution with a multi-patch scattering pattern. (2) A series of 86 ecological corridors in the area, totaling 315.14 km, show a pattern of more corridors in the east and fewer in the west. (3) The research found 17 sites totaling 24.20 km of the ecological corridor in the barrier point zone. In addition, up to 22 segments, totaling 19.27 km of the ecological corridor, are located in the “pinch point” zone. (4) The barrier point and “pinch point” on the ecological corridors are identified to obtain their type, scale, and location, thus suggesting conservation-restoration.

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Eco-geological environment quality assessment based on multi-source data of the mining city in red soil hilly region, China

Cited by 14 publications

References 46 publications

Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP

Research on the evaluation of ecological environment quality based on fuzzy and PCA-AHP

Spatial-Temporal Evolution of Land Use Change and Eco-Environmental Effects in the Chang-Zhu-Tan Core Area

Ecological Restoration Strategies for Mountainous Cities Based on Ecological Security Patterns and Circuit Theory: A Case of Central Urban Areas in Chongqing, China

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