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老城区海绵城市建设指标制定和管控方法分析 被引量:5

Target Setting and Control Methods Analysis of Sponge City Construction in Old District
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摘要 老城区开发程度大、改造空间较小、受限因素较多,如何制定适宜的建设指标,并提出合理的管控方法是推进老城区海绵城市建设的迫切需求。选取济宁市海绵城市建设试点区域老城片区为研究对象,以问题为导向,在全面收集相关更新改造计划并充分了解现场条件的基础上,结合城市更新规划及用地空间,对规划区各地块进行建设状态的识别,确定相应的建设模式;针对不同类型用地以及不同建设模式,确定相应的海绵城市建设控制指标以及引导性指标;同时考虑到地块整治条件的差异性,对指标进行微调;针对已批未建、未批未建、已批在建等情况,结合项目开发时序弹性控制年径流总量控制目标;并根据现状水环境问题,提出系统的解决方案;以期为全国同类型城市推进海绵城市建设提供参考。 Due to the large development degree,small reconstruction space and many restricted factors in the old city,settinga suitable sponge city target and proposing reasonable control methods are immediate needs for old district construction.Based on current situation and problems,the old district of Jining pilot area is taken as a research object.Comprehensive collection of relevant renovation plans and full understanding of site conditions,combined with urban renewal planning and land use space,the construction status of the blocks in the planning area is identified,and the corresponding construction mode is determined.According to different types of land and different construction modes,the corresponding sponge city construction control index and guiding index are determined.At the same time,taking the difference of land regulation conditions into consideration,the indexes are fine-tuned.According to the situation of approved and unbuilt,approved and unbuilt,and approved and under construction,the annual total runoff control target is controlled bonding with resilient control of the project temporal development order.The systematic solution is put forward with the current situation of water environment problems,in order to provide reference for similar sponge city construction project.
作者 李冰 李亚 俞露 LI Bing;LI Ya;YU Lu(Urban Planning & Design Institute of Shenzhen,Shenzhen 518049,China;School of Environment,Tshinghua University,Beijing 100084,China)
出处 《净水技术》 CAS 2019年第A01期389-395,共7页 Water Purification Technology
关键词 用地性质 建设指标 开发时序 弹性控制 land usage construction target temporal development order resilient control
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