Evaluation of water-carbon-ecological footprints and its spatial–temporal pattern in the central plains urban agglomeration [PDF]
Ecological Indicators, 2023 Maintaining the stability of natural capital stock is an important basis for realizing regional sustainable development goals. Based on the improved three-dimensional (3D) footprint family model, this study analyzes the spatial and temporal evolution of ...
Kexin Jin +6 more
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An approach for urban agglomerations integration evaluation based on multivariate big data: case of the Central Plains Urban Agglomeration [PDF]
Geo-spatial Information ScienceThe Central Plains Urban Agglomeration (CPUA) is a link of economic development to connect the eastern part and western part in China. Current research on urban agglomeration integration mainly uses urban properties’ data.
Jin Shang +3 more
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Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment [PDF]
Land, 2023 By using the methods of scenario analysis, model simulation, and the multi-objective spatial optimisation algorithm Non-dominated Sorting Genetic Algorithm-II (NSGA-II), the Pareto optimal solutions for water supply, water purification (N retention), as ...
Min Liu +3 more
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Spatiotemporal Variation in Carbon Storage in the Central Plains Urban Agglomeration Under Multi-Scenario Simulations [PDF]
LandUnderstanding changes in land use structures under multiple scenarios and their impacts on carbon storage is essential for revealing the evolution of regional development patterns and the underlying mechanisms of carbon cycle dynamics. This study adopted
Jinxin Wang +3 more
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Spatial Configuration and Layout Optimization of the Ecological Networks in a High-Population-Density Urban Agglomeration: A Case Study of the Central Plains Urban Agglomeration [PDF]
LandThe construction of ecological networks and the optimization of ecological spatial layouts are essential for maintaining regional ecological security and promoting sustainable development, especially in high-population-density urban agglomerations.
Tonghui Yu +3 more
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Research on the Water–Energy–Carbon Coupling Changes and Their Influencing Factors in the Henan Section of the Sha Ying River Basin, China [PDF]
AgricultureThe Henan section of the Sha Ying River Basin, as the core agricultural area of the Central Plains Urban Agglomeration (CPUA), plays a significant role in promoting regional green and sustainable development through the coordinated management of water ...
Xueke Liu +5 more
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Unveiling the impacts of climate change and human activities on land-use evolution in ecologically fragile urbanizing areas: A case study of China’s Central Plains urban agglomeration [PDF]
Ecological IndicatorsEnvironmental changes driven by climate change and human activities have significantly influenced the spatiotemporal evolution of land–use in urbanizing, ecologically fragile areas.
Zhimeng Jiang +5 more
doaj +3 more sources
Quantitative Estimation of Net Primary Productivity by an Improved tCASA Model Using Landsat Time Series Data: A Case Study of Central Plains, China [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingNet primary productivity (NPP) can effectively represent the growth status of plants. The accurate estimation and spatiotemporal variation analysis of NPP is of great significance for understanding global climate change and carbon cycle.
Lida Xu +4 more
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Analysis of socio-economic spatial structure of urban agglomeration in China based on spatial gradient and clustering [PDF]
, 2021 Research background: Previous studies on the economic and social development of urban agglomerations mostly focus on a single primacy comparative analysis and efficiency evaluation.
László Vasa +11 more
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Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China [PDF]
, 2021 With rapid economic development and urbanization in China, vehicle emissions are increasingly becoming one of the major factors affecting air quality.
Yongpei Hao, Xiaowei Song
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