自然资源学报 ›› 2018, Vol. 33 ›› Issue (11): 1912-1925.doi: 10.31497/zrzyxb.20180163

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京津冀城市群土地利用变化对热环境的影响研究

杨浩1,2, 王子羿3, 王婧1,*, 孟娜4   

  1. 1.北京市社会科学院,北京 100101;
    2.北京大学经济学院,北京 100871;
    3.西南大学地球科学学院,重庆 400715;
    4.北京师范大学政府管理学院,北京 100875
  • 收稿日期:2018-02-22 出版日期:2018-11-20 发布日期:2018-11-20
  • 通讯作者: 王婧(1983- ),女,山东淄博人,博士,副研究员,研究方向为区域发展与管理。E-mail: w.j.2000@163.com
  • 作者简介:杨浩(1983- ),男,吉林长春人,博士,助理研究员,讲师,研究方向为土地科学、土地资源管理。E-mail: yanghaobjdx@alyun.com
  • 基金资助:
    国家社会科学基金资助项目(18CGL048); 国家自然科学基金重点项目(41731286); 北京市社会科学院青年项目(2018B5186)

Study on the Influence of Land Use Change on the Thermal Environment in Beijing-Tianjin-Hebei Urban Agglomeration

YANG Hao1,2, WANG Zi-yi3, WANG Jing1, MENG Na4   

  1. 1.Beijing Academy of Social, Beijing 100101, China;
    2.School of Economics, Peking University, Beijing 100871, China;
    3.College of Geography Science, Southwest University, Chongqing 400715, China;
    4.School of Government, Beijing Normal University, Beijing 100875, China
  • Received:2018-02-22 Online:2018-11-20 Published:2018-11-20
  • Supported by:
    National Social Science Foundation of China, No. 18CGL048; Key Program of National Natural Science Foundation of China, No. 41731286; Beijing Academy of Social Sciences Youth Research Project, No. 2018B5186

摘要: 基于2000和2015年两期土地利用数据,运用WRF模式(Weather Research and Forecasting Model)模拟与数理统计方法,设计4组城市气温对比方案,定量模拟京津冀城市群土地利用时空格局变化对区域热环境的影响。结果表明: 1)2000—2015年城市群建设用地增加2 840 km2,94.37%由耕地转换而来; 2)北京土地利用变化对廊坊、天津和唐山气温变化的影响最为明显,天津的土地利用变化对廊坊气温变化的影响最为明显; 3)分季节来看,北京与天津的土地利用变化对城市群季均气温的影响排序为:秋季>夏季和春季>冬季; 4)其他地区土地利用变化使北京市年均气温增加0.07 ℃,且夏季降温作用明显,而该变化对天津市年均气温作用不明显,但秋季与冬季的增温区域形成了京津唐热环境连片发展的空间分布格局; 5)城市群土地利用变化对热环境影响表现出明显的“遥响应”特性,因而有必要从大尺度、泛区域的角度认识城市扩展对热环境的影响。

关键词: WRF模式, 京津冀城市群, 热环境, 土地利用变化

Abstract: This paper quantified the impact of land use change on thermal environment of Beijing, Tianjin and Hebei based on Landsat TM/ETM remote sensing data and WRF simulation and mathematical statistics method, and four schemes of experiments with different land use data were designed so as to find the spatial interactive impact of land use change . The results showed that: Firstly, during 2000-2015, urban construction land increased by 2 840 km2, mainly transferred from farmland and wetland which accounted for 94.37% and 4.93% of the increase of construction land, respectively. Secondly, Langfang, Tianjin and Tangshan are three cities most affected by land use change in Beijing, while Langfang was mostly affected by land use change in Tianjin. However, the temperature of other cities was less affected by land use change that the impact of land use change process in these cities is much smaller than in Beijing. Thirdly, from the perspective of seasons, the temperature in Beijing and Tianjin was most sensitive to land use change in autumn, followed by summer and spring, and basically had no response in winter through 2000-2015. Fourthly, land use change in areas other than Beijing increased the annual average temperature of Beijing by 0.07 ℃, but had obvious cooling effect in summer. As for Tianjin, land use change in other areas had little effect on temperature. Temperature rising area in autumn and winter formed a contiguous space of Beijing-Tianjin (Baodi District, Wuqing District, Jixian County). In view of this, we should construct urban ventilation corridors, promote the use of cleaner energy sources and upgrade the construction of urban green space system to optimize the thermal environment in the urban agglomeration of Beijing-Tianjin-Hebei. At the end of the paper, countermeasures and suggestions for building urban ventilation corridors, promoting the use of clean energy, improving energy efficiency, and scientifically planning urban green space system were put forward.

Key words: Beijing-Tianjin-Hebei urban agglomeration, land use change, thermal environment, WRF model

中图分类号: 

  • X16