于家古村传统雨洪管理体系量化解析及其现代启示  

Quantitative Analysis of the Traditional Stormwater Management System in Yujia Ancient Village and its Modern Implications

在线阅读下载全文

作  者:赵宏宇[1,2] 张诗雨 李明 张明宇[1] Zhao Hongyu;Zhang Shiyu;Li Ming;Zhang Mingyu

机构地区:[1]吉林建筑大学建筑与规划学院 [2]吉林省生态智慧城镇战略创新发展研究中心(省科技厅平台)

出  处:《小城镇建设》2025年第5期119-127,共9页DEVELOPMENT OF SMALL CITIES & TOWNS

基  金:国家自然科学基金项目“寒地传统村落生态治水智慧空间图谱解译与形成机理研究”(编号:52178042);吉林省科技厅重点课题“基于灾害脆弱性综合评估的韧性城乡调控技术研究与示范”(编号:20210203213SF)。

摘  要:已有千百年历史的传统村落具备全面适应自然、让自然做功的特征,其所蕴含的朴素的生态智慧哲学观对当下国土空间规划视角的转变具有重要的启示意义。研究以河北省石家庄市井陉县于家古村为例,解析村落多级生态治水空间的形成机理,并形成同类型村落生态治水空间要素的图谱;使用无人机航拍采集村落数据并构建三维实景模型,基于SWMM模型对研究区进行水文模拟,分别从治涝、治旱两方面对传统雨洪管理体系的防灾能力进行量化分析,并归纳其标准流程,以期为城镇生态空间防灾韧性提供新的借鉴思路。Traditional villages with millennia-old histories are characterized by their comprehensive adaptation to nature and harmonious coexistence with natural processes.The simple yet profound ecological wisdom they embody holds significant value for reorienting contemporary territorial spatial planning perspectives.This study takes Yujia Ancient Village in Jingxing County,Shijiazhuang City,Hebei Province as a case study,examining the formation mechanisms of its multi-level ecological water management spaces and developing a mapping of such spatial elements applicable to similar villages.By collecting village data and constructing three-dimensional models using unmanned aerial photography,the research conducts hydrological simulations within the study area based on the SWMM model.It quantitatively assesses the flood and drought resilience of the traditional rainwater management system,and synthesizes a standardized process to provide crucial insights for urban ecological space planning.This standardized approach offers innovative ideas for enhancing disaster prevention and resilience in urban ecological spaces.

关 键 词:传统村落 生态智慧 生态治水空间 SWMM模型 井陉县于家村 

分 类 号:TU982.29[建筑科学—城市规划与设计]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象