Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model

Naikoo, Mohd Waseem; Shahfahad, .; Talukdar, Swapan; Ishtiaq, M.

doi:10.1016/j.jenvman.2022.116441

Cited by 25 publications

(2 citation statements)

References 75 publications

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“…We determined carbon emission coefficients for each land use type in the Jianghan Plain based on the IPCC framework and some studies on carbon emission coefficients (IPCC, 2007;Zhu Q. et al, 2015;Zhou S. et al, 2021). Then, we used the coupling and coordination degree model (CCDM) to measure the relationship between urban heat island density (UHII) and carbon emissions after standardized data (Naikoo et al, 2023). As shown in Figure 10, the UHI area of the Jianghan Plain was mainly located in the central region in 2000 and shifted to the west in 2020, and the urban heat island effect in the eastern part was mitigated.…”

Section: Sustainable Development and Local Government Suggestionsmentioning

confidence: 99%

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Zhou

Zhang³

et al. 2023

Front. Environ. Sci.

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Recent urbanization and growing food consumption have had a severely detrimental effect on the ecological environment of the Jianghan Plain. The ecological fragility of the Jianghan Plain must be continually monitored for environmental conservation and sustainable development. This study utilized principal component analysis (PCA) to quantitatively assess the ecological vulnerability of the Jianghan Plain based on the remote sensing ecological index (RSEI) and analyzed the space-time changes and drivers in the Jianghan Plain from 2000 to 2020 using the Google Earth Engine Platform (GEE). The findings of this research indicated that the ecological vulnerability of the Jianghan Plain from 2000 to 2020 was predominantly Moderate or Strong level. But still, the EVI displayed a changing decreasing trend, revealing a small development towards a healthier ecological environment. The most significant ecological vulnerability deterioration occurred between 2005 and 2010, accounting for roughly 44.90 percent, whereas the highest improvement occurred between 2000 and 2005, occupying approximately 37.52% of the area. Moran’s I of EVI was greater than 0 in Jianghan Plain and displayed a growing and subsequently a falling trend, representing that the spatial distribution of regional ecological vulnerability was strongly correlated and aggregated and that the degree of aggregation has declined. The effects of heat, greenness, wetness, and dryness on the ecological vulnerability of Jianghan Plain were all significant, with greenness and wetness being the primary determinants of the change in Jianghan Plain’s ecological vulnerability. The results of this study can offer a theoretical and scientific foundation for ecological protection and restoration in the Jianghan Plain. Meanwhile, this study also provides a practical and rapid method for monitoring regional ecological vulnerability using RSEI, GEE, and PCA, which can be applied elsewhere for ecological vulnerability evaluation.

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Section: Sustainable Development and Local Government Suggestionsmentioning

confidence: 99%

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Zhou

Zhang³

et al. 2023

Front. Environ. Sci.

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“…With the development of system theory, the interaction between multi-subsystem, multi-process, and internal connection mechanisms is emphasized. The concept of coupling coordination is widely utilized in social science, ecological environment, and economics to study the interaction between systems or subsystems [8][9][10].…”

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confidence: 99%

Regional Difference and Obstacle Factors of China’s High-Quality Development from the Perspective of Coupling Coordination

Baoling,

Ying

2023

Pol. J. Environ. Stud.

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China's economy has experienced phenomenal growth over the past few decades. However, energy dilemmas, environmental pollution, and the greenhouse effect arise over time [1]. Based on the profound changes in China's economic development environment, the 19th National Congress pointed out that China's economy "has shifted from a stage of high-speed growth to a stage of high-quality development". High-quality development is the fundamental embodiment of the new development concept of innovation, coordination, greenness, openness, and sharing [2,3]. China is a vast country with significant heterogeneity in geographical location, resource endowment, and economic base. Narrowing regional differences and achieving regional balance is a challenge for high-quality development. Therefore, exploring regional differences is a prerequisite for promoting regional collaborative high-quality development.

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Exploring the Flooding Under Damming Condition in Punarbhaba River of India and Bangladesh

et al. 2023

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Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model

Cited by 25 publications

References 75 publications

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Regional Difference and Obstacle Factors of China’s High-Quality Development from the Perspective of Coupling Coordination

Exploring the Flooding Under Damming Condition in Punarbhaba River of India and Bangladesh

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