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应用生态学报 ›› 2016, Vol. 27 ›› Issue (8): 2605-2613.doi: 10.13287/j.1001-9332.201608.004

• 目次 • 上一篇    下一篇

基于生态适宜与风险控制的城市新区增长边界划定——以济宁市太白湖新区为例

刘焱序1, 彭建1*, 孙茂龙2, 杨旸3   

  1. 1北京大学城市与环境学院地表过程分析与模拟教育部重点实验室, 北京 100871;
    2中城国合(北京规划设计研究院, 北京 100045;
    3北京大学深圳研究生院城市规划与设计学院城市人居环境科学与技术重点实验室, 广东深圳 518055
  • 收稿日期:2015-11-06 发布日期:2016-08-18
  • 通讯作者: * E-mail: jianpeng@urban.pku.edu.cn
  • 作者简介:刘焱序,男,1988年生,博士研究生.主要从事综合自然地理与景观生态学研究.E-mail:liuyanxu@pku.edu.cn
  • 基金资助:
    本文由国家自然科学基金项目(41271195)资助

Delimitation of urban growth boundary based on ecological suitability and risk control: A case of Taibai Lake New District in Jining City, Shandong, China.

LIU Yan-xu1, PENG Jian1*, SUN Mao-long2, YANG Yang3   

  1. 1Ministry of Education Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
    2Zhongchengguohe (Beijing Urban Planning Design and Research Institute, Beijing 100045, China;
    3Key Laboratory for Environmental and Urban Sciences, School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong, China
  • Received:2015-11-06 Published:2016-08-18
  • Contact: * E-mail: jianpeng@urban.pku.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (41271195).

摘要: 城市增长边界通过充分考虑地区生态约束条件,可以有效控制城市无序蔓延,是统筹区域生态保护与城市开发建设的重要规划理念.如何通过生态本底条件确定城市建设开发的优先位置、规避建设开发生态风险一直是城市增长边界划定的核心内容.本研究以济宁市太白湖新区为例,引入有序加权平均算法完成生态适宜性评价结果的情景识别,并借助地表温度反演、雨洪淹没模型等算法进行生态风险空间识别.适宜性评价结果表明: 适宜建设区占太白湖新区全境面积的25.3%,不宜建设区占20.4%,其余区域为限制建设区.规避风险控制区域后,弹性城市增长边界在近期共占地2975 hm2,在远期占地6754 hm2,而最终刚性城市增长边界共占地9405 hm2.作为一种新的方法,生态适宜性情景算法和风险情景模拟的应用可以为城市增长边界识别提供更有效的定量支撑.

Abstract: Urban growth boundary, with full consideration of regional ecological constraints, can effectively control the unordered urban sprawl. Thus, urban growth boundary is a significant planning concept integrating regional ecological protection and urban construction. Finding the preferential position for urban construction, as well as controlling the ecological risk, has always been the core content of urban growth boundary delimitation. This study selected Taibai Lake New District in Jining City as a case area, and analyzed the scenario of ecological suitability by ordered weighted ave-raging algorithm. Surface temperature retrieval and rain flooding simulation were used to identify the spatial ecological risk. In the result of ecological suitability, the suitable construction zone accounted for 25.3% of the total area, the unsuitable construction zone accounted for 20.4%, and the other area was in the limit construction zone. Excluding the ecological risk control region, the flexible urban growth boundary covered 2975 hm2 in near term, and covered 6754 hm2 in long term. The final inflexible urban growth boundary covered 9405 hm2. As a new method, the scenario algorithms of ordered weighted averaging and ecological risk modeling could provide effective support in urban growth boundary identification.