基于多源数据的水敏性城市景观空间减灾评价与调控方法研究

This topic is based on the issue of urban internality waterlogging problem which occurs frequently in many cities all over the country in recent years. It is based on responding to related national policies, such as sponge cities, and aims to enhance the ability of water sensitive urban lanscape space to alleviate urban waterlogging problems. This paper discusses a method of water sensitive urban landscape disaster reduction evaluation and control based on multi-source data. This study will be carried out according to the "characteristic-evaluation-regulation" research path: The GIS-STR method is used to analyze the feedback relationship and characteristics between water sensitive urban lanscape space and urban waterlogging mechanism. With comprehensively use of GIS, GIS-LIBCA, GIS-MCE and other digital spatial measurement methods, comprehensive big data integration, selection and extraction of water sensitivity landscape impact factors, water sensitive urban spatial disaster reduction evaluation index system; The risk level and constraint conditions of water sensitive landscape are determined, and the optimal control method of water sensitive urban landscape is proposed. Taking urban safety as the target direction of water sensitive urban landscape disaster reduction assessment, this paper proposes a feasible and verifiable water sensitive urban landscape control method to maximize the potential of water sensitive landscape disaster reduction. To meet the needs of urban security development, to achieve decision, which is supporting urban development and construction.

本课题基于近年来全国各城市频发的城市内涝问题提出，以响应海绵城市等相关国家政策为依据，以提升水敏性城市景观空间对城市内涝问题的缓解能力为导向，探讨一种基于多源数据的水敏性城市景观空间减灾评价与调控方法。本研究将按照“特征－评价－调控”的研究路径开展研究：通过GIS-STR方法分析水敏性城市景观空间与城市内涝空间的关联关系与耦合特征；综合运用GIS、GIS-LIBCA、GIS-MCE等空间计量方法，进行综合大数据整合分析，选择和提取水敏性城市景观空间影响因子，构建水敏性城市景观空间减灾评价指标体系；判定水敏性景观空间的风险等级与约束条件，提出水敏性城市景观空间的优化调控方法。课题以城市安全为水敏性城市景观空间减灾评价的目标导向，拟提出具有可操作性与可验证性的水敏性城市景观空间减灾调控方法，最大限度的发挥水敏性城市景观空间的减灾潜能，满足城市安全发展需要，实现对未来城市开发建设的决策支持。

本课题基于近年来全国各城市频发的城市内涝问题提出，以响应海绵城市等相关国家政策为依据，以提升水敏性城市景观空间对城市内涝问题的环节能力为导向，探讨一种基于多源数据的水敏性城市景观空间减灾评价与调控方法。本研究严格按照“特征-评价-调控”的研究路径开展研究：通过GIS-STR方法分析水敏性城市景观空间与城市内涝空间的关联关系与耦合特征；综合运用GIS, GIS-LIBCA, GIS-MCE等空间计量方法，进行综合大数据整合分析，选择和选取水敏性城市景观空间影响因子，构建水敏性城市景观空间减灾评价指标体系；判定水敏性景观空间的风险等级与约束条件，提出水敏性城市景观空间的优化调控方法。研究结果发现，近40年国内外关于水敏性城市相关研究中，生态环境与内涝降水已逐渐成为领域的研究热点与焦点问题。水敏性城市景观空间与城市内涝空间的聚集度指标，空间多样性指标，空间连通性指标、多样性指数、散布与并列指数及蔓延度指数等指标存在较高的相关性。人口密度、开发强度与土地利用结构对水敏性城市景观空间具有显著影响。水敏性城市景观空间的减灾能力中空间结构和空间功能、空间布局等具有显著性，其中绿化与水体的连通性更加显著性，这说明在绿化与水体的空间布局会对水敏性城市景观空间的减灾能力有显著改善作用。课题以城市安全为水敏性城市景观空间减灾评价的目标导向，提出了具由可操作性与可验证性的水敏性城市景观空间减灾调控方法，最大限度的发挥水敏性城市景观空间的减灾潜能，满足城市安全发展需要，实现对未来城市开发建设的决策支持。