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应用生态学报 ›› 2019, Vol. 30 ›› Issue (1): 277-284.doi: 10.13287/j.1001-9332.201901.017

• 研究论文 • 上一篇    下一篇

基于遥感生态指数的雄安新区生态质量评估

杨江燕1,吴田2,潘肖燕1,杜海童1,李金鹿3,张利1,门明新1*,陈影1   

  1. 1河北农业大学国土资源学院, 河北保定 071000;
    2中国土地勘测规划院, 北京 100035;
    3河北省国土资源利用规划院, 石家庄 050051
  • 收稿日期:2018-07-02 修回日期:2018-10-28 出版日期:2019-01-20 发布日期:2019-01-20
  • 通讯作者: menminn@sina.com
  • 作者简介:杨江燕, 女, 1994年生, 硕士研究生. 主要从事土地信息与技术研究. E-mail: 2418655692@qq.com
  • 基金资助:

    本文由国土资源部两套指标体系试点项目(20170411)和河北省典型样带土地资源与生态环境监测评价项目(20170428)资助

Ecological quality assessment of Xiongan New Area based on remote sensing ecological index

YANG Jiang-yan1, WU Tian2, PAN Xiao-yan1, DU Hai-tong1, LI Jin-lu3, ZHANG Li1, MEN Ming-xin1*, CHEN Ying1   

  1. 1Institute of Land and Resources, Agricultural University of Hebei, Baoding 071000, Hebei, China;
    2China Land Survey and Planning Institute, Beijing 100035, China;
    3Hebei Provincial Land and Resources Utilization Planning Institute, Shijiazhuang 050051, China
  • Received:2018-07-02 Revised:2018-10-28 Online:2019-01-20 Published:2019-01-20
  • Supported by:

    This work was supported by the Ministry of Land and Resources Two Sets of Index System Pilot Project (20170411) and the Monitoring and Evaluation of Land Resources and Ecological Environment in Typical Transect of Hebei Province (20170428).

摘要: 城镇化建设的持续推进给生态环境带来的压力日益增加,多方位、客观、准确、快速测算区域生态环境质量是生态学研究的一个重点.本研究从绿度、湿度、热度、干度4方面分别提取了归一化植被指数(NDVI)、湿度指数(WET)、地表温度(LST)、归一化建筑-土壤指数(NDBSI)4个分量指标,采用基于ENVI平台的主成分分析技术集成所选指标,基于新型遥感生态指数(RSEI)对1995—2015年雄安新区生态质量进行评估.结果表明: 1995、2004和2015年,雄安新区的RSEI均值分别为0.724、0.710、0.682,生态质量总体呈下降趋势;1995—2015年间,研究区RSEI主要由4、5级向1、2、3级转变,生态质量改善和恶化的面积分别占总面积的8.9%和20.9%,生态改善区域主要位于雄县东部和南部,主要原因在于该区域大面积的林地和园地受到当地政府的高度重视和严格保护,生态质量恶化区域主要位于城镇外围以及白洋淀周边,原因在于白洋淀水域面积的锐减和城市化的不断推进;RSEI与各分量指标的平均相关系数为0.804,均高于各分量指标间的平均相关系数,表明RSEI能较好地综合各分量指标信息,全面准确反映研究区生态质量状况.

Abstract: The continuous urbanization leads to increasing pressure on the ecological environment. It is a key point to measure regional ecological environment quality objectively, accurately and quickly from multiple directions in ecological research. In this study, the normalized vegetation index (NDVI), wet index (WET), land surface temperature (LST), and normalized difference building-soil index (NDBSI) were extracted from the aspects of greenness, humidity, heat and dryness. The ecological quality of Xiongan New Area between 1995 and 2015 was evaluated by integrating selected indicators to measure the remote sensing ecological index (RSEI) with principal component analysis technology based on ENVI platform. The results showed that the average RSEI of Xiongan New Area was 0.724, 0.710, and 0.682 in 1995, 2004 and 2015, respectively, showing a downward trend. RSEI mainly changed from 4, 5 to 1, 2 and 3 in the study area from 1995 to 2015. Ecological quality improved and deteriorated area accounted for 8.9% and 20.9% of the total area respectively. The ecological quality improved area was mainly located in the east and south of Xiongxian County, because a large area of forests and gardens was highly valued and strictly protected by the local government. The ecological quality deteriorated area was in the periphery of the town and the surrounding area of Baiyangdian due to the sharp decline of the water area of Baiyangdian and the continuous urbanization. The three-year average correlation coefficient between RSEI and each component index was 0.804, which was higher than that between other component indices. Our results showed that RSEI could efficiently integrate the information of each component index and comprehensively and accurately reflect the ecological quality of the study area.