基于多源遥感数据的震后恢复评估——以四川长宁MS6.0地震为例
作者:
作者单位:

作者简介:

谢志辉(1996-),男,在读硕士,主要从事遥感方面的应用研究。E-mail:1459805004@qq.com。

通讯作者:

基金项目:

自然资源部城市国土资源监测与仿真重点实验室开放基金资助课题(KF-2020-05-047)


Assessment of post-earthquake recovery based on multi-source remote sensing data: a case study of the Changning MS6.0 earthquake in Sichuan Province
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    通过植被指数和灯光指数定量评估地震发生后灾区的恢复情况,对灾区经济建设和生态恢复的评估具有重要科学意义。以2019年6月17日四川省宜宾市长宁县MS6.0地震灾区为研究区,对月度NPP-VIIRS数据、MODIS-EVI数据和统计年鉴数据进行预处理后获得4种灯光指数和增强型植被指数(EVI),分别建立NPP-VIIRS数据和MODIS-EVI数据的非线性回归预测模型,预测地震年份的灯光指数和植被指数;通过预测数据和实际数据的对比分析,评价震后的恢复情况。结果表明:地震发生后灯光总强度(TNL)和EVI均明显下降,与震中距离越近的乡镇下降越明显;EVI数据的下降具有滞后性和持续性,夜间照明恢复优于植被恢复情况;地震对TNL的影响高于EVI,且随着距离的增加地震的影响程度逐渐减小。文章从经济和环境两个方面开展研究,对地震救援和震后恢复评价均有一定的应用价值。

    Abstract:

    The vegetation index and the light index used to quantitatively evaluate the post-disaster recovery situation have important scientific significance for the evaluation of economic construction and ecological recovery in the disaster area. An MS6.0 earthquake eccurred in Changning County, Yibin City, Sichuan Province on June 17, 2019. Four kinds of light indexes and the enhanced vegetation index (EVI) in the earthquake-striken area were obtained based on the monthly NPP-VIIRS data, MODIS-EVI data, and statistical yearbook data. The nonli-near regression prediction models of NPP-VIIRS data and MODIS-EVI data were established to predict the light index and vegetation index, respectively. Through a comparative analysis of the predicted and actual data, the recovery situation after the earthquake was evaluated. The results show that both the total night-time light (TNL) and the EVI decrease significantly after the earthquake, and the values decrease more obvious with closer to the epicenter. The decline of EVI data is lagging and persistent, and the restoration of night lighting is better than that of vegetation. The impact of earthquake on TNL is higher than that of EVI, and the impact decreases with the increase of epicentral distance. This paper carries out research from two aspects of economy and environment, thus having a certain application value for earthquake rescue and post-earthquake recovery evaluation.

    参考文献
    相似文献
    引证文献
引用本文

谢志辉,李功权.基于多源遥感数据的震后恢复评估——以四川长宁MS6.0地震为例[J].地震工程学报,2022,44(4):990-1000. XIE Zhihui, LI Gongquan. Assessment of post-earthquake recovery based on multi-source remote sensing data: a case study of the Changning MS6.0 earthquake in Sichuan Province[J]. China Earthquake Engineering Journal,2022,44(4):990-1000.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-08-04