scholarly journals Research on Land Use Change and Ecological Environment Effect Based on Remote Sensing Sensor Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuntong Liu ◽  
Dan Zhang ◽  
Kuan He ◽  
Qiong Gao ◽  
Fen Qin
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Landscape Pattern ◽  
Flow Direction ◽  
Urban Land ◽  
Urban Land Use ◽  
Ecosystem Service Value ◽  
Service Value ◽  
Ecological Service ◽  
Landscape Patches

In the regional landscape pattern, woodland landscape patches are developed in a regular manner, showing a trend of agglomeration as a whole; the concentration and dominance of landscape patches of cultivated land, grassland, and unused land are decreasing, and the overall situation is fragmented; the water landscape pattern is also showing a regular development state to varying degrees. On the whole, the landscape of a certain area is scattered and fragmented, and the dominant landscape types dominate the overall landscape layout of the region. The diversity of land use landscape pattern shows positive autocorrelation as a whole. According to the Moran’s I index of the diversity of land use landscape patterns, the overall agglomeration effect of the region has increased, but the overall trend is in a balanced trend. The ecological service value of urban land use change continues to increase, but the regional differences are significant, the structure is simple, and it is mainly supported by ecosystems such as forest land, water area, and agricultural land. Based on the analysis of the spatiotemporal evolution of land use, an in-depth analysis of the urban water environment, atmospheric environment, soil environment, urban heat island, and other environmental issues of the urban land use in the study area is carried out. The calculation and analysis results of the ecological service value of urban land use change and its flow direction change show that the ecosystem service value has increased, and the regional difference and flow direction of the ecosystem service value have changed significantly.

scholarly journals The Influence of Land Use Change on Ecosystem Service Value in Shangzhou District

2019 ◽  
Vol 16 (8) ◽  
pp. 1321 ◽  
Author(s):  
Keyue Yuan ◽  
Fei Li ◽  
Haijuan Yang ◽  
Yiming Wang
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Ecosystem Service ◽  
Ecosystem Service Value ◽  
Land Use Patterns ◽  
Service Value ◽  
Ecological Service ◽  
And Function ◽  
The Impact

Land use change has an impact on the ecosystem service value because it changes the structure and function of ecosystems. This paper analyzed the changes in land use during the period from 2000 to 2015 in Shangzhou district, and used the equivalent value of ecological services per unit area of land ecosystem combining the natural and economic conditions of Shangzhou district. Based on this method, the ecological service value of Shangzhou district was estimated, and the impact of land use change on the ecological service value was analyzed. The results showed that: (1) the main types of land use in Shangzhou district were grassland, woodland and farmland, among which the contribution rate of woodland to the value of local ecosystem services was the highest; (2) the overall trend in the ecosystem service value in Shangzhou district increased between 2000 and 2015, from 10.74 × 108 yuan in 2000 to 20.32 × 108 yuan in 2015, which is the result of the combined effects of regional economic development and changes in the natural environment and land use patterns; and (3) the main reason for the value increase of ecosystem services in Shangzhou district between 2000 and 2015 was that the grain-for-green policy transformed a considerable amount of farmland into woodland, while the main reasons for a decline in value was the expansion of built-up land that occupied other types of land.

scholarly journals Environmental deterioration in rapid urbanisation: evidence from assessment of ecosystem service value in Wujiang, Suzhou

2020 ◽  
Vol 23 (1) ◽  
pp. 331-349 ◽  
Author(s):  
Li Yu ◽  
Yinchao Lyu ◽  
Chun Chen ◽  
Charles L. Choguill
Keyword(s):  
Quality Of Life ◽  
Land Use ◽  
Land Use Change ◽  
Ecosystem Service ◽  
Well Being ◽  
Urban Land Use ◽  
Ecosystem Service Value ◽  
Service Value ◽  
Environmental Deterioration

AbstractLand use change is the most prominent feature of Chinese urbanisation. In China, the expansion of land consumed for urban development is inevitable given the rapid increases in the urban economy and urban population, but also in meeting the population’s increasing demand for better quality of life. This paper is based on a research study of Wujiang district in Suzhou, which is considered representative of many of the rapid urbanisation areas within the nation. The objective is to develop an in-depth understanding of the characteristics of land use change and how this change contributes to environmental deterioration, as assessed by changes in the ecosystem service value (ESV). In this study, ESV is defined as the environmental products and functions provided for human well-being. Based on local planning documents, Landsat TM remote-sensing images and field surveys, the research analyses the cost to the environment when traditional land uses are transformed into urbanisation. The research demonstrates that conversion to urban land use which ignores the limit and capacity of the environment can generate significant environmental costs, as assessed by ESV, which in turn, can lead to a deterioration of quality of life for inhabitants, the exact opposite of the original intention. The research demonstrates that by mapping the spatial distribution of ecological service values, ESV can be used as a guide to urban sustainable development.

scholarly journals Multi-Scenario Prediction of Intra-Urban Land Use Change Using a Cellular Automata-Random Forest Model

2021 ◽  
Vol 10 (8) ◽  
pp. 503
Author(s):  
Hang Liu ◽  
Riken Homma ◽  
Qiang Liu ◽  
Congying Fang
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Land ◽  
Urban Land Use ◽  
Random Forest Model ◽  
Growth Trend ◽  
Related Factors ◽  
Forest Model

The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land use changes in Kumamoto City from 2018 to 2030: an unconstrained development scenario, and a planning-constrained development scenario that considers disaster-related factors. The random forest was used to calculate the transition probabilities and the importance of driving factors, and cellular automata were used for future land use prediction. The results show that disaster-related factors greatly influence land vacancy, while urban planning factors are more important for medium high-rise residential, commercial, and public facilities. Under the unconstrained development scenario, urban land use tends towards spatially disordered growth in the total amount of steady growth, with the largest increase in low-rise residential areas. Under the planning-constrained development scenario that considers disaster-related factors, the urban land area will continue to grow, albeit slowly and with a compact growth trend. This study provides planners with information on the relevant trends in different scenarios of land use change in Kumamoto City. Furthermore, it provides a reference for Kumamoto City’s future post-disaster recovery and reconstruction planning.

scholarly journals Land-Use Change and Health Risks in the Process of Urbanization: A Spatiotemporal Interpretation of a Typical Case in Changzhou, China

Land ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 820
Author(s):  
Dongyang Yang ◽  
Chao Ye ◽  
Jianhua Xu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Environmental Pollution ◽  
Environmental Health ◽  
Health Risks ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Land Expansion ◽  
Process Of Urbanization ◽  
The Relationship

China has undergone rapid urban expansion in recent decades. At the same time, environmental pollution and its risk to public health have increased. However, the relationship between urban land-use changes and health is ambiguous and insufficiently understood. Based on a typical city-scale case—namely, Changzhou, China—this research aimed to interpret the evolution of health risks alongside land-use change during the process of urbanization. We gathered data from multiple sources, including population mortality data, socioeconomic data, remote-sensing images, data for the points of interest of enterprises, and relevant information on environmental health events and cancers. The results showed that Changzhou’s urbanization was typical insofar as it was characterized by massive growth in industry, a rapid increase in the urban population, and urban land expansion. Health risks related to environmental pollution increased considerably with urban land expansion over time, and they increased with proximity to the pollution. The results from a generalized linear model confirmed that Changzhou’s urbanization triggered increasing health risks. Our study interpreted the relationship between urban land expansion and health risks from a spatiotemporal perspective. It can be used as a reference for urban planning and policymaking with regard to urban environmental health.

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