Ecological Environment Optimization Research Articles

Research on Sustainable Land Use in Alpine Meadow Region Based on Coupled Coordination Degree Model—From Production–Living–Ecology Perspective

Changes in land use types in alpine meadow areas have significant impacts on the ecological environment in alpine areas. Exploring land use change is crucial for land use management and optimization in alpine regions. Thus, it is necessary to analyze land use evolution and its drivers in alpine meadow regions from a production–living–ecology space (PLES) perspective by using remote sensing data. We first constructed the PLES evaluation system for Gannan. Then, we analyzed the spatial and temporal evolution characteristics and coupling degree of PLES in the study area. Finally, the driving factors affecting PLES were explored with geodetector. The conclusions of the study reveal that the distribution of productive and ecological spaces is large and concentrated, while the distribution of living spaces is more decentralized. The PLES was mainly concentrated in the area above 2500 m but below 4000 m and with a slope of 40° or less. During the study period, the area of production space showed a decreasing trend, while the areas of living and ecological space both showed increasing trends, primarily occurring at the expense of production space. DEM and GDP were the main factors affecting the distribution of PLES. The coupling level and the degree of coupling coordination were relatively stable in general, showing a pattern of “high in the east and low in the west”. The study provides technical support and a theoretical basis for the future planning of land space and ecological environment optimization in the alpine meadow regions.

Landscape pattern changes in coal resource-based cities: A case study of Huainan City in China

Currently, coal resource-based cities (CRBCs) are facing challenges such as ecological destruction, resource exhaustion, and disordered urban development. By analyzing the landscape pattern, the understanding of urban land use can be clarified, and optimization strategies can be proposed for urban transformation and sustainable development. In this study, based on the interpretation of remote sensing data for three dates, the landscape pattern changes in the urban area of Huainan City, a typical coal resource-based city in Anhui Province, China were empirically investigated. The results indicate that: (1) There is a significant spatial-temporal transformation of land use, with construction land gradually replacing arable land as the dominant land use type in the region. (2) Landscape indices are helpful to reveal the characteristics of land transfer and distribution of human activities during a process. At the landscape type level, construction land, grassland, and water bodies are increasingly affected by human activities. At the landscape composition level, the number of landscape types increases, and the distribution of different types of patches becomes more balanced. In addition, to address the problems caused by the coal mining subsidence areas in Huainan city, three landscape pattern optimization strategies are proposed at both macro and micro levels. The research findings contribute to a better understanding of land use changes and their driving forces, and offer valuable alternatives for ecological environment optimization.

Synergistic effects of technological innovation, industrial structure upgrading, and ecological environment optimization—evidence from China

The benign interaction between technological innovation, industrial structure, and ecological environment optimization is important for the sustainable development of China’s economy. Based on panel data from 30 provinces (municipalities) in China from 2003 to 2019, a coupling coordination degree (CCD) model was adopted to evaluate the coordinated development level of the technological innovation-industrial structure-ecological environment system (TIE). Fixed-effect models were used to explore the subsystem impact on the coupling coordination level. A fully modified least-squares (FMOLS) method was used to analyze TIE subsystem interactions. The results show the following: (1) The coordinated development level of TIE has steadily improved. The CCD of the TIE was high in the east, flat in the center, and low in the west. (2) Subsystem development significantly and positively affected the degree of coupling coordination. The ecological environmental impact on the coordinated development level was the largest in the eastern regions and the influence of technological innovation on the coordinated development level was the largest in the central and western regions. (3) Industrial advancement had a positive impact on technological innovation in 30 provinces as a whole, and in the eastern, central, and western regions. A “U”-shaped relationship was found between technological innovation and industrial advancement in all 30 provinces, and in the eastern, central provinces. Industrial rationalization, industrial advancement, and technological innovation can promote the improvement of the ecological environment in all 30 provinces, and the eastern, central, and western regions.

Progress, challenge and significance of building a carbon industry system in the context of carbon neutrality strategy

Carbon dioxide storage and utilization has become an inevitable trend and choice for sustainable development under the background of global climate change and carbon neutrality. Carbon industry which is dominated by CO2 capture, utilization and storage/ CO2 capture and storage (CCUS/CCS) is becoming a new strategic industry under the goal of carbon neutrality. The sustainable development of carbon industry needs to learn from the experiences of global oil and gas industry development. There are three types of “carbon” in the earth system. Black carbon is the CO2 that has not been sequestered or used and remains in the atmosphere for a long time; grey carbon is the CO2 that has been fixed or permanently sequestered in the geological body, and blue carbon is the CO2 that could be converted into products for human use through biological, physical, chemical and other ways. The carbon industry system covers carbon generation, carbon capture, carbon transportation, carbon utilization, carbon sequestration, carbon products, carbon finance, and other businesses. It is a revolutionary industrial field to completely eliminate “black carbon”. The development of carbon industry technical system takes carbon emission reduction, zero carbon, negative carbon and carbon economy as the connotation, and the construction of a low-cost and energy-efficient carbon industry system based on CCUS/CCS are strategic measures to achieve the goal of carbon neutrality and clean energy utilization globally. This will promote the “four 80%s” transformation of China's energy supply, namely, to 2060, the percentage of zero-carbon new energy in the energy consumption will be over 80% and the CO2 emission will be decreased by 80% to ensure the carbon emission reduction of total 80×108 t from the percentage of carbon-based fossil energy in the energy consumption of over 80%, and the percentage of CO2 emission from energy of over 80% in 2021. The carbon industry in China is facing three challenges, large CO2 emissions, high percentage of coal in energy consumption, and poor innovative system. Three strategic measures are proposed accordingly, including: (1) unswervingly develop carbon industrial system and ensure the achievement of carbon neutrality as scheduled by 2060; (2) vigorously develop new energy sources and promote a revolutionary transformation of China's energy production and consumption structure; (3) accelerate the establishment of scientific and technological innovation system of the whole CO2 industry. It is of great significance for continuously optimization of ecological environment and construction of green earth and ecological earth to develop the carbon industry system, utilize clean energy, and achieve the strategic goal of global carbon neutrality.

Detecting ecological spatial-temporal changes by Remote Sensing Ecological Index with local adaptability

Ecological environmental assessment is an indispensable part of the eco-environment protection system. As researchers have increasingly focused on ecological environment protection, the ecological environment evaluation system has been gradually improved. The enhancement of the ecological environment evaluation system provides more scientific and effective data support for ecological environment monitoring and governance. This article examines the Wuhan Urban Development Zone as an example, selects Landsat 8 (Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS)) images of the study area from 2013 to 2019at two-year intervals, and applies a new type of ecological environment evaluation index named the remote sensing ecological index with local adaptability (RSEILA) to assess the eco-environment. The RSEILA represents an improvement of the remote sensing ecological index (RSEI) proposed in 2013. The RSEILA enhancement is mainly reflected in the correlation and spatial distribution characteristics between geographical elements. The results reveal that 1) the overall urban ecological environment in the Wuhan Urban Development Zone demonstrates a downward trend from 2013 to 2019, and the rate of decline during the period varies. 2) RSEILA decline is mainly found in the far suburbs, and ecological environment degradation mainly occurs due to the change in land-use type caused by the suburbanization process of urban expansion. 3) Because of the implementation of urban greening projects, the phenomenon of ecological environment optimization (green recovery) is observed in the central urban area of Wuhan. 4) Land use exhibits a notable correlation with the ecological environment, and different land-use types exhibit distinct degrees of ecological environment deterioration. The order of deterioration is: bare soil/sand>building>cropland>forests.

Key technologies and equipment for contaminated surface/groundwater environment in the rural river network area of China: integrated remediation

To realize the integrated remediation of SW/GW and soil in the rural river network area, the integrated remediation in rural river network area project (IR-RRNA), funded by the Ministry of Science and Technology of the People’s Republic of China, has been launched. In eastern China, the rural river network area (RRNA) is an anthropic active area characterized by its rapid economic development and high gross national product. However, the water environmental pollution in these areas is increasingly severe, which has greatly hindered their sustainable development. Especially, the frequent interactions between surface/groundwater (SW–GW) have intensified the pollution migration and transformation in RRNA. The IR-RRNA (2019–2022) will apply the related interdisciplinary and methodological knowledge to elucidate the transportation and transformation of pollutants in water and soil during SW–GW interaction and develop remediation technologies of surface water, groundwater, and soil suitable for the RRNA. In this way, to realize the remediation technologies integration for surface/groundwater and soil in RRNA and implementing application demonstration. Meanwhile, a technical guideline will be compiled for the integrated remediation suitable for the RRNA. This project is conducive to addressing the urgent environmental problems as well as promoting rural economic revitalization and ecological environment optimization.

A PRIMARY EXPLORATION ON THE SUPER-NETWORK MODEL OF ECONOMIC DEVELOPMENT UNDER THE RESTRICTION OF RESOURCES AND ENVIRONMENT

With the theory of super-network and the variational inequality method, this paper establishes a super-network model of economic development in three aspects, builds a new indicator system for measuring economic development, and calculates the equilibrium conditions for the balance of economic development. Firstly, the economic development is divided into three parts: economic growth, ecological environment optimization and scientific and technological progress. Respectively, with the set of measuring indicators in three aspects as a point of super-network and the link between these indicators as a super edge, thus a super-network model is established. Secondly, the hierarchical variable clustering analysis method is used to analyze the tightness of the links among the nodes in the super-network; and the objective function is established by using the partial measurement index, which simplifies the model. Finally, the variational inequality and projection iterative algorithm are used to calculate the equilibrium condition of the whole model. The main conclusions in this paper are as follows: (1) The indicators of economic development are interrelated with each other. (2) It can contribute to the balanced development of the economy in satisfied certain conditions.

Rural Construction and Ecological Environment Optimization in Northwest China Based on Sustainability

With the rapid development of rural urbanization, rural areas, especially in northwest China, have been exposed many problems. Living quality cannot be guaranteed. Environmental quality is deteriorating. Rural development has encountered the unprecedented problems and challenges. Under the background of the integration of urban and rural areas, the development of rural areas is also in a dilemma. In this research, based on the actual situation of Guanzhong region in Shaanxi Province, the rural villages are classified according to their resources, environment and formation time. At the same time, combined with previous literature, a group of villages has been selected as object to conduct on-site investigation and analysis including ecological environment, planning layout, public space, building energy saving and so on. Hopefully, the analysis of physical formation can makes people have a more in-depth understanding of sustainability. We are going to understand the problems encountered and solutions related in the sustainable development of rural areas from a critical perspective. By putting forward the corresponding strategies and development focus, a set of multiple sustainable development model for different types of villages has been summarized and proposed. Importantly, it can be some enlightenments for further studies.

Systematic analysis of the coordination degree of China's economy-ecological environment system and its influencing factor.

In order to achieve a sustainable development of economy and ecological environment, starting from the systemic thinking and systemic approach, this paper regards China's economic development and ecological environment protection as a whole system. Firstly, the negative index of M2 is introduced to correct the GDP bubble, and constructed the architecture model of the economy-ecological environment system. Then, this research establishes an evaluation index system using the analytic hierarchy process and Yaahp software and obtains its comprehensive evaluation value. After that, this research builds the Lotka-Volterra coordination degree model and uses the China data from 1997-2016 to analyze the mutual influencing factors and coupling coordination degree, and carries out the empirical and experimental tests to obtain the overall coordination relationship between economy and ecological environment systems. The results of the study show that the trend of economy-ecological environment coordination degree in China has changed from relatively coordinated to moderately uncoordinated in the latter 20 years; the coordination degree decreased from 0.8996 to 0.4842. Although, the situation has a rebound in the latter 2 years,the situation is still not optimistic. In addition, even the modified model of economic subsystem plus M2 did not change the original changing trend, and only changed the magnitude of the gap, thus revealing that the imbalance of economic development is much more serious than the impact of overissue currency on the ecological environment. This study provides a new basis for research decisions such as the adjustment of the economic growth rate and the optimization of ecological environment.

Optimization of Core Talent Ecological Environment in an Enterprise Based on Job Embeddedness

How to retain core talents and bring them into full use pertain to enterprise survival. The degree of job embeddedness and talent ecological environment are two most important factors in core talent management in an enterprise. At this point, the paper constructed eco-environmental factors of corporate core talents, proposed an assessment index system to evaluate the degree of job embeddedness for core talents, and also empirically analyzed the influential mechanism of ecological environment on job embeddedness. The analysis results showed that four indices of core talent ecological environment in an enterprise impact on the three dimensions of core talent job embeddedness significantly. In this connection, the paper offered proposals of core talent ecological environment optimization from both on- and off-the-job embeddedness levels.