In order to actively respond to the global climate and environmental challenges, and to help achieve the goal of carbon peaking and carbon neutrality, China aims to achieve carbon peaking by 2030. As the main contributor of energy consumption, construction industry transformation is imminent. This paper focuses on the development trend of carbon emissions in Anhui construction industry in the next 20 years, and how to help Anhui construction industry achieve the carbon peak target. The research process and conclusions are as follows: 1) Through literature review and gray correlation analysis, seven important factors affecting the construction industry are identified. 2) The gray prediction EGM(1,1) model was adopted to forecast the carbon emissions of the construction industry in Anhui Province from 2021 to 2040. The research results show that carbon emissions will increase year by year in the next 20 years. 3) The EGM-BP neural network model was used to further predict the carbon emissions from the construction industry in 2021–2040. It is expected that the carbon emissions from construction industry in Anhui Province will show an “inverted U″ trend in the next 20 years, and is expected to reach its peak in 2031, after which it will start to decline. Based on the results of the above study, we provide support paths for achieving the carbon peak in the construction industry from the perspective of improving and developing the construction system, and provide policy suggestions for relevant departments to accelerate the construction industry and carbon peak construction in Anhui Province.

Coal cities are the impetus and guarantee of China's economic development. However, the longterm unreasonable exploitation of coal seriously affects the quality of eco-environment and residents' lives in coal cities. This study takes five coal cities in Anhui Province as the research objects, selects ten evaluation indicators of three dimensions based on the production-life-ecology (PLE) model, and improves the evaluation model of relative resource carrying capacity (RRCC). The relative carrying capacity (RCC) of various resources and the relative resource comprehensive carrying capacity (RRCCC) in coal cities from 2010 to 2019 are calculated by entropy-catastrophe progression method to explore the spatio-temporal dynamic evolution of RRCCC in each city, and the critical resistance factors are identified by resistance model. The results show that: (1) There is a particular gap between the RCC of various resources and the existing population resources. (2) RRCCC, with a good development trend in general, is at a relatively strong load level, tending to a strong load level.(3) The level of RRCCC in each city is unevenly distributed, with regional differences. (4) The ecological subsystem had the most significant impact on RRCCC before, and it will be replaced by the production subsystem in the future.

Studying the ecosystem service value is of great value for solving the contradiction between ecological protection and economic development in the Huaihe River Basin. The characteristics of land use change were studied by using the Landsat remote sensing image data of Anhui section and Henan section of Huaihe River Basin from 2010 to 2020. The equivalent factor method was used to estimate the ecosystem service value, and the spatial autocorrelation model was used to analyze the spatial distribution characteristics of ecosystem service value The GM-BP model was used to predict the land use change in 2025. The results showed that: (1) From 2010 to 2020, cultivated land and construction land dominated the land use in the study area, and the degree of land use change changed from severe to stable. (2) The value of ecosystem services is in the transition stage from low level (II) to medium level (III). (3) ecosystem service value has a significant positive spatial correlation, and the spatial distribution is generally high in the southeast and low in the northwest. (4) Compared with 2020, ecosystem service value will rise by 0.54 % in 2025.

Rapid urbanization in China has led to resource depletion, environmental pollution, and social inequity. The cornerstone of China's high-quality economic development is inclusive green development, which has developed as the society's primary objective. Based on the panel data of 16 prefecture-level cities in Anhui Province from 2011 to 2020, the study explores the connotation of urban inclusive green development efficiency (IGDE) and evaluates IGDE using the hierarchical entropy weight TOPSIS model combined with the global-Super-SBM model. The current situation and problems of IGDE in Anhui Province are thoroughly analyzed, then the Global-Malmquist index is used to analyze the structural dynamics of efficiency dynamics, the Theil index to explore the sources of regional differences in efficiency and the efficiency slackness index to discover the causes of low-efficiency losses. The results indicate that, technological progress is the key factor affecting IGDE. Intra-regional variation is the primary source of regional variation in IGDE. The inadequacy of infrastructure, medical level, educational equity, and green status are the four decisive aspects that cause the low efficiency of IGDE for the whole, but the weaknesses of IGDE are specifically from city to city. According to the above, the practical promotion path of IGDE in Anhui province has been obtained.

The relationship between industrialization and carbon emissions is incredibly complicated. Numerous academics have studied this subject in-depth and produced a wealth of research findings, but there has not been a comprehensive evaluation and analysis. As a result, the Web of Science Core Collection is used as the study's data source, and China is chosen as the research object. Visualization software CiteSpace and VOSviewer are utilized to conduct cooperation network analysis, co-citation analysis and cluster analysis to analyze the research progress and frontier of the impact of industrialization on carbon emissions in China (IICEC). The results indicate that: (1) Since 2007, the research enthusiasm for IICEC has grown and gone through three stages; (2) Most research institutions and authors are from China, and significant transnational research teams have not yet been established;(3) The most popular journal for this research is Journal of Cleaner Production, whereas Energy Policy has the most citations; (4) The overall research hotspots can be divided into five clusters. Based on these findings, possible future research frontiers were identified, including carbon emission decoupling analysis and carbon transfer, life cycle analysis and life cycle cost analysis of the industry, and embodied carbon measure.