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国土空间规划视角下村庄分类技术方法与规划指引——以南宁市为例 被引量:4
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作者 解芳芳 罗方焓 +1 位作者 刘昭 方晨宇 《西部人居环境学刊》 CSCD 北大核心 2024年第5期139-144,共6页
为贯彻乡村振兴战略,亟待在国土空间规划中建立村庄分类技术方法与规划指引,本研究提出由“分类标准—指标遴选—分类方法”构成村庄分类的技术思路。文章以南宁市辖区作为实证案例,从社会经济、人文特色、城乡关系、生态保护4大维度,选... 为贯彻乡村振兴战略,亟待在国土空间规划中建立村庄分类技术方法与规划指引,本研究提出由“分类标准—指标遴选—分类方法”构成村庄分类的技术思路。文章以南宁市辖区作为实证案例,从社会经济、人文特色、城乡关系、生态保护4大维度,选取11个指标构建村庄类型评价指标体系,基于自组织特征映射网络(SOFM)模型与人工校核修正相结合的方法,将467个行政村分为集聚提升类、城郊融合类、融入城镇类、特殊类和传统发展类5种类型,提出各类村庄差异化的空间管制与发展指引,并探索村庄分类规划传导体系,以期为各层级的村庄规划编制提供宏观村庄规划建议。 展开更多
关键词 国土空间规划 SOFM神经网络 村庄分类 规划指引
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All-solid-state Sodium-ion Batteries:A Leading Contender in the Next-generation Battery Race 被引量:1
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作者 Rui-Jie Zhu Ze-Chen Li +3 位作者 Wei Zhang Akira Nasu Hiroaki Kobayashi Masaki Matsui 《电化学(中英文)》 北大核心 2024年第12期21-27,共7页
All-solid-state lithium-ion batteries(LIBs)using ceramic electrolytes are considered the ideal form of rechargeable batteries due to their high energy density and safety.However,in the pursuit of all-solid-state LIBs,... All-solid-state lithium-ion batteries(LIBs)using ceramic electrolytes are considered the ideal form of rechargeable batteries due to their high energy density and safety.However,in the pursuit of all-solid-state LIBs,the issue of lithium resource availability is selectively overlooked.Considering that the amount of lithium required for all-solidstate LIBs is not sustainable with current lithium resources,another system that also offers the dual advantages of high energy density and safetydall-solid-state sodium-ion batteries(SIBs)dholds significant sustainable advantages and is likely to be the strong contender in the competition for developing next-generation high-energy-density batteries.This article briefly introduces the research status of all-solid-state SIBs,explains the sources of their advantages,and discusses potential approaches to the development of solid sodium-ion conductors,aiming to spark the interest of researchers and attract more attention to the field of all-solid-state SIBs. 展开更多
关键词 All-solid-state sodium-ion batteries All-solid-state lithium-ion batteries Solid-state electrolyte Sodium super ionic conductor Machine learning
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