Rapid urbanization and land-use changes are placing immense pressure on resources,infrastructure,and envi-ronmental sustainability.To address these,accurate urban simulation models are essential for sustainable develo...Rapid urbanization and land-use changes are placing immense pressure on resources,infrastructure,and envi-ronmental sustainability.To address these,accurate urban simulation models are essential for sustainable development and governance.Among them,Cellular Automata(CA)models have become key tools for pre-dicting urban expansion,optimizing land-use planning,and supporting data-driven decision-making.This review provides a comprehensive examination of the development of urban cellular automata(UCA)models,presenting a new framework to enhance individual UCA sub-modules within the context of emerging technologies,sus-tainable environments,and public governance.By addressing gaps in prior UCA modelling reviews-particularly in the integration and optimization of UCA sub-module technologies-this framework is designed to simplify UCA model understanding and development.We systematically review pioneering case studies,deconstruct current UCA operational processes,and explore modern technologies,such as big data and artificial intelligence,to optimize these sub-modules further.We discuss current limitations within UCA models and propose future pathways,emphasizing the necessity of comprehensive analyses for effective UCA simulations.Proposed solu-tions include strengthening our understanding of urban growth mechanisms,examining spatial positioning and temporal evolution dynamics,and enhancing urban geographic simulations with deep learning techniques to support sustainable transitions in public governance.These improvements offer data-driven decision support for environmental management,advancing policies that foster sustainable urban development.展开更多
The felsic volcanogenic tuffs named"green-bean rocks"(GBRs),characterized by a green or yellowish green color,are widely distributed in the western Yangtze platform and have a high lithium content(286-957 pp...The felsic volcanogenic tuffs named"green-bean rocks"(GBRs),characterized by a green or yellowish green color,are widely distributed in the western Yangtze platform and have a high lithium content(286-957 ppm).This paper studies the ages,origin and tectonic setting of the GBRs in the Sichuan basin on the western margin of the Yangtze platform through the whole-rock geochemistry and zircon trace elements by using U-Pb dating and Hf-O isotopes.The GBR samples from the Quxian and Beibei sections yielded zircon U-Pb ages of 245.5±1.8 Ma and 244.8±2.2 Ma.These samples can be used as the isochronous stratigraphic marker of the Early-Middle Triassic boundary(EMTB)for regional correlation.The whole-rock and zircon geochemistry,and zircon Hf-O isotopes exhibited S-type geochemical affinities with high positiveδ^(18)0 values(9.28‰-11.98‰),low negativeε_(Hf)(t)values(-13.87 to-6.79),and T_(DM)^(2)ages of 2150-1703 Ma,indicating that the lithium-rich GBRs were generated by the remelting of the pre-existing ancient Paleoproterozoic layer without mantle source contamination in the arcrelated/orogenic tectonic setting.The results of this study demonstrate that the lithium-rich GBRs in the western Yangtze platform were derived from arc volcanic eruptions along the Sanjiang orogen,triggered by the closure of the eastern Paleo-Tethys Ocean and the syn-collision between the continental Indochina and Yangtze blocks at ca.247 Ma.This was marked by a major shift from I-type magmas with intermediateε_(Hf)(t)values to S-type magmas with low negativeε_(Hf)(t)values.Collectively,our results provide new insights into the origin of the GBRs and decodes the closure of the eastern Paleo-Tethys.展开更多
文摘Rapid urbanization and land-use changes are placing immense pressure on resources,infrastructure,and envi-ronmental sustainability.To address these,accurate urban simulation models are essential for sustainable development and governance.Among them,Cellular Automata(CA)models have become key tools for pre-dicting urban expansion,optimizing land-use planning,and supporting data-driven decision-making.This review provides a comprehensive examination of the development of urban cellular automata(UCA)models,presenting a new framework to enhance individual UCA sub-modules within the context of emerging technologies,sus-tainable environments,and public governance.By addressing gaps in prior UCA modelling reviews-particularly in the integration and optimization of UCA sub-module technologies-this framework is designed to simplify UCA model understanding and development.We systematically review pioneering case studies,deconstruct current UCA operational processes,and explore modern technologies,such as big data and artificial intelligence,to optimize these sub-modules further.We discuss current limitations within UCA models and propose future pathways,emphasizing the necessity of comprehensive analyses for effective UCA simulations.Proposed solu-tions include strengthening our understanding of urban growth mechanisms,examining spatial positioning and temporal evolution dynamics,and enhancing urban geographic simulations with deep learning techniques to support sustainable transitions in public governance.These improvements offer data-driven decision support for environmental management,advancing policies that foster sustainable urban development.
基金the Geological Investigation Work project of China Geological Survey(Grant No.DD20190172)the National Key R&D Plan of China(Grant No.2017YFC0602806).
文摘The felsic volcanogenic tuffs named"green-bean rocks"(GBRs),characterized by a green or yellowish green color,are widely distributed in the western Yangtze platform and have a high lithium content(286-957 ppm).This paper studies the ages,origin and tectonic setting of the GBRs in the Sichuan basin on the western margin of the Yangtze platform through the whole-rock geochemistry and zircon trace elements by using U-Pb dating and Hf-O isotopes.The GBR samples from the Quxian and Beibei sections yielded zircon U-Pb ages of 245.5±1.8 Ma and 244.8±2.2 Ma.These samples can be used as the isochronous stratigraphic marker of the Early-Middle Triassic boundary(EMTB)for regional correlation.The whole-rock and zircon geochemistry,and zircon Hf-O isotopes exhibited S-type geochemical affinities with high positiveδ^(18)0 values(9.28‰-11.98‰),low negativeε_(Hf)(t)values(-13.87 to-6.79),and T_(DM)^(2)ages of 2150-1703 Ma,indicating that the lithium-rich GBRs were generated by the remelting of the pre-existing ancient Paleoproterozoic layer without mantle source contamination in the arcrelated/orogenic tectonic setting.The results of this study demonstrate that the lithium-rich GBRs in the western Yangtze platform were derived from arc volcanic eruptions along the Sanjiang orogen,triggered by the closure of the eastern Paleo-Tethys Ocean and the syn-collision between the continental Indochina and Yangtze blocks at ca.247 Ma.This was marked by a major shift from I-type magmas with intermediateε_(Hf)(t)values to S-type magmas with low negativeε_(Hf)(t)values.Collectively,our results provide new insights into the origin of the GBRs and decodes the closure of the eastern Paleo-Tethys.
