基于敏感性和适宜度分析的长春市区海绵型场地选址研究
发布时间：2018-08-23 10:26
【摘要】：海绵城市业已成为现阶段我国城市建设发展的国家级战略,作为海绵城市建设重中之重的三十个国家级试点城市在规划决策过程中亟需科学的量化分析技术进行支撑。借用智慧城市中大量的可用数据和成熟的技术分析工具对海绵城市规划决策进行定量研究,对从规划引领的角度提供科学而有效的海绵城市规划决策依据具有重要的意义。本文以长春市区为研究对象,从多层筛选的思维视角建立了一种基于敏感性和适宜度分析的海绵型场地选址研究方法,并基于海绵型场地选址结果探索了长春市区的海绵城市实施策略。以灾害威胁下建设用地规划中基于危险性和适宜度分析的研究方法以及生态城市规划中基于敏感性和适宜度分析的研究方法作为本文研究方法论原型,从多层筛选的思维视角转译生成适用于海绵型场地选址的基于敏感性和适宜度分析的研究方法。通过基于可变水源区理论的TOPMODEL模型对研究区域的地形指数进行分析计算,得到水文敏感性的分析图,从而将地形指数取值在11.42~16.93的单元集划定为长春市区的水文敏感区,同时将长春市区易涝点数据与水文敏感性分析结果进行灾害拟合度检验,模型拟合度高达89.4%,证明了模型的有效性。再通过对国内外雨洪管理体系内涵与目标的发展过程进行综述,确定适宜度评价因子的选取目标并最终选定人口密度、空间整合度、城市蓝绿系统三个适宜度评价影响因子,再基于GIS的多因子加权分析法进行海绵型场地适宜度评价研究,将研究区的海绵型场地建设适宜区域分为不适宜用地、较不适宜用地、适宜用地、较适宜用地和最适宜用地五类。最后以长春市区的水文敏感性分析和海绵型场地适宜度评价为基础,将敏感性与适宜度评价进行叠加分析,选取具有最高敏感性和最高、较高适宜度的区域为海绵型场地选址区,共计1 675个栅格单元,约占研究区域的0.31%,并从建设项目库的建构、建设时序的确定方面探析长春市区海绵城市的实施策略。研究以敏感性和适宜度分析为切入点构建海绵型场地的选址研究方法,丰富了海绵城市中海绵型场地选址的方法论研究领域,为研究海绵城市在城市规划层面的实现提供了新思维和新视角。同时构建了一个可视化的海绵型场地选址模型,具有为城市决策者提供科学的量化分析支持的现实意义。
[Abstract]:Sponge city has become the national strategy of urban construction and development in China at present. As the most important part of the construction of sponge city, 30 national pilot cities need scientific quantitative analysis technology to support the planning and decision-making process. It is of great significance to use a large number of available data and mature technical analysis tools in intelligent cities to carry out quantitative research on the decision-making of sponge city planning, which is of great significance to provide scientific and effective basis for decision-making of sponge city planning from the point of view of planning guidance. In this paper, a sponge site selection method based on sensitivity and suitability analysis was established from the view of multi-level screening. Based on the site selection of sponge site, the implementation strategy of sponge city in Changchun is explored. The research method based on hazard and suitability analysis in construction land planning under the threat of disaster and the research method based on sensitivity and suitability analysis in ecological city planning are used as the prototype of this research methodology. The research method based on sensitivity and suitability analysis for spongy site selection is derived from the view of multi-level screening. Based on the TOPMODEL model of variable source region theory, the topography index of the study area is analyzed and calculated, and the hydrological sensitivity analysis map is obtained, and the unit set with the topographic index value of 11.42% 16.93 is designated as the hydrological sensitive area of Changchun City. At the same time, the disaster fitting degree of the flood prone point data and the hydrological sensitivity analysis results are tested, and the model fitting degree is as high as 89.4, which proves the validity of the model. Then through summarizing the connotation and development process of rain flood management system at home and abroad, the paper determines the selection target of suitability evaluation factor and finally selects three influencing factors of population density, spatial integration and urban blue-green system suitability evaluation. Based on the multi-factor weighted analysis method of GIS, the suitability evaluation of spongy site is studied. The suitable area of spongy site construction in the study area is divided into unsuitable land and less suitable land. More suitable land use and the most suitable land use five categories. Finally, based on the hydrological sensitivity analysis and sponge site suitability evaluation in Changchun, the sensitivity and suitability evaluation are superimposed to select the highest sensitivity and the highest suitability. The area with higher suitability is sponge site selection area, with a total of 1,675 grid units, which account for 0.31% of the study area. The implementation strategy of sponge city in Changchun is analyzed from the aspects of construction project database and determination of construction time sequence. Based on sensitivity and suitability analysis, this paper studies the method of constructing sponge site location, which enriches the research field of sponge site selection methodology in sponge city. It provides a new thinking and new perspective for the realization of sponge city in urban planning. At the same time, a visual sponge site location model is constructed, which has the practical significance of providing scientific quantitative analysis support for urban decision makers.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU992;TV213.9
[Abstract]:Sponge city has become the national strategy of urban construction and development in China at present. As the most important part of the construction of sponge city, 30 national pilot cities need scientific quantitative analysis technology to support the planning and decision-making process. It is of great significance to use a large number of available data and mature technical analysis tools in intelligent cities to carry out quantitative research on the decision-making of sponge city planning, which is of great significance to provide scientific and effective basis for decision-making of sponge city planning from the point of view of planning guidance. In this paper, a sponge site selection method based on sensitivity and suitability analysis was established from the view of multi-level screening. Based on the site selection of sponge site, the implementation strategy of sponge city in Changchun is explored. The research method based on hazard and suitability analysis in construction land planning under the threat of disaster and the research method based on sensitivity and suitability analysis in ecological city planning are used as the prototype of this research methodology. The research method based on sensitivity and suitability analysis for spongy site selection is derived from the view of multi-level screening. Based on the TOPMODEL model of variable source region theory, the topography index of the study area is analyzed and calculated, and the hydrological sensitivity analysis map is obtained, and the unit set with the topographic index value of 11.42% 16.93 is designated as the hydrological sensitive area of Changchun City. At the same time, the disaster fitting degree of the flood prone point data and the hydrological sensitivity analysis results are tested, and the model fitting degree is as high as 89.4, which proves the validity of the model. Then through summarizing the connotation and development process of rain flood management system at home and abroad, the paper determines the selection target of suitability evaluation factor and finally selects three influencing factors of population density, spatial integration and urban blue-green system suitability evaluation. Based on the multi-factor weighted analysis method of GIS, the suitability evaluation of spongy site is studied. The suitable area of spongy site construction in the study area is divided into unsuitable land and less suitable land. More suitable land use and the most suitable land use five categories. Finally, based on the hydrological sensitivity analysis and sponge site suitability evaluation in Changchun, the sensitivity and suitability evaluation are superimposed to select the highest sensitivity and the highest suitability. The area with higher suitability is sponge site selection area, with a total of 1,675 grid units, which account for 0.31% of the study area. The implementation strategy of sponge city in Changchun is analyzed from the aspects of construction project database and determination of construction time sequence. Based on sensitivity and suitability analysis, this paper studies the method of constructing sponge site location, which enriches the research field of sponge site selection methodology in sponge city. It provides a new thinking and new perspective for the realization of sponge city in urban planning. At the same time, a visual sponge site location model is constructed, which has the practical significance of providing scientific quantitative analysis support for urban decision makers.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU992;TV213.9
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