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应用生态学报 ›› 2016, Vol. 27 ›› Issue (4): 1069-1076.doi: 10.13287/j.1001-9332.201604.004

• 中国生态学学会2015 年学术年会会议专栏 • 上一篇    下一篇

城镇化过程中流域不透水面演变格局——以天津于桥水库流域为例

谢慧君1,李崇巍1*,张亚娟1,宋爱云2   

  1. 1天津师范大学城市与环境科学学院, 天津 300387;
    2滨州学院山东省黄河三角州生态环境重点实验室, 山东滨州 256603
  • 收稿日期:2015-06-12 修回日期:2016-01-12 出版日期:2016-04-22 发布日期:2016-04-22
  • 通讯作者: yllcw13@126.com
  • 作者简介:谢慧君,女,1990年生,硕士研究生.主要从事水文环境和水文生态研究. E-mail: tj_xiehuijun@sina.com
  • 基金资助:
    本文由国家自然科学基金项目(31270510)和滨州学院博士基金项目(2014Y02,2014Y14)

Evolution pattern of impervious surface in the Yuqiao Reservoir Watershed, Tianjin, China during the process of urbanization.

XIE Hui-jun1, LI Chong-wei1*, ZHANG Ya-juan1, SONG Ai-yun2   

  1. 1College of Urban and Environment Sciences, Tianjin Normal University, Tianjin 300387, China;
    2Shandong Provincial Key Laboratory of Eco-Environmental Science for Yellow River Delta, Binzhou University, Binzhou 256603, Shandong, China
  • Received:2015-06-12 Revised:2016-01-12 Online:2016-04-22 Published:2016-04-22
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (31270510) and Doctoral Fund of Binzhou University (2014Y02, 2014Y14).

摘要: 不透水面是衡量流域城镇化发展状况的一个关键指标,其扩展对流域生态水文过程产生重要影响.本文以天津于桥水库流域为例,在ENVI 5.1软件支持下,利用遥感影像获取1984、1994、2004和2013年4个时相的不透水面信息,采用修正后的归一化水体指数剔除水体信息,排除水体对不透水面提取精度的影响,运用线性光谱混合分析法生成流域不透水表面指数(ISA),并对其时空演变格局进行分析.结果表明: 模型均方根误差(RMSE)为0.005,像元精度为85.4%,试验结果准确可靠.1984—2013年,流域内不透水面覆盖度ISA平均值从0.16线性增长到0.23,在全流域范围内的不透水面面积增加了4.9%,其总不透水面面积增加近1倍.不透水面沿城镇区域呈现辐射式增长,沿子流域路网呈现填充式增长.不透水面覆盖度为中等等级的斑块形状不规则,破碎化程度最高.整个流域景观破碎化程度和多样性均逐年增高,人为干扰强度不断增大.

关键词: 线性光谱混合分析, 时空格局, 不透水表面指数, 于桥水库流域

Abstract: Imperviousness in watershed is a key index to measure urbanization status which exerts an important impact on both eco-hydrological process and spatio-temporal pattern. Taking Yuqiao Reservoir Watershed as a case study area, based on the ENVI 5.1 software, the basic impervious surface information was extracted from remote sensing images taken in 1984, 1994, 2004 and 2013. The linear spectral mixture analysis (LSMA) model was applied to extract the impervious surface area (ISA) in nine coverage classes of watershed in order to analyze its spatio-temporal varying trend in terms of the landscape pattern metrics. Results showed that the RMSE and IS pixel accuracy of all samples were 0.005 and 85.4% respectively, which indicated that the method of extracting impervious surface on a basin scale was feasible. The average of ISA showed a linear growth, from 0.16 to 0.23, the impervious surface area increased by 4.9% in the whole watershed, and the total impervious surface area increased by 1 time. In the sub-basin road network, the impervious surface area increased gradually with the density of the road network, and its expansion pattern was of infilling growth. The patch shape of the middle coverage degree was irregular, and its fragmentation degree was the highest. The fragmentation degree and diversity of the landscape in the whole river basin increased year by year due to increasing human disturbance.

Key words: Yuqiao Reservoir Watershed., linear spectral mixture analysis, impervious surface area index, spatio-temporal pattern