融合PS与DS方法的2019—2023年郑州城区地表形变研究

doi:10.13474/j.cnki.11-2246.2025.0223

测绘通报 ›› 2025, Vol. 0 ›› Issue (2): 127-131.doi: 10.13474/j.cnki.11-2246.2025.0223

融合PS与DS方法的2019—2023年郑州城区地表形变研究

张诗玉^1,2,3, 张姿旗¹, 李雯雯⁴, 高廷婷¹, 祁礼刚⁵, 曹宏文⁶

1. 商丘师范学院, 河南商丘 476000;
2. 河南省黄河故道生态保护与治理工程技术研究中心, 河南商丘 476000;
3. 河南省农业遥感大数据发展创新实验室, 河南商丘 476000;
4. 中国矿业大学(北京), 北京 100083;
5. 河南省测绘院, 河南郑州 450003;
6. 河南省地理信息院, 河南郑州 450003

收稿日期:2024-05-06 发布日期:2025-03-03
作者简介:张诗玉(1977—),男,硕士,讲师,主要从事雷达遥感数据处理及应用。E-mail:zhangshiyu@sqnu.edu.cn
基金资助:
国家自然科学基金(U1304404)

Research on surface deformation in Zhengzhou urban area from 2019 to 2023 integrating PS and DS methods

ZHANG Shiyu^1,2,3, ZHANG Ziqi¹, LI Wenwen⁴, GAO Tingting¹, QI Ligang⁵, CAO Hongwen⁶

1. College of Surveying and Planning, Shangqiu Normal University, Shangqiu 476000, China;
2. Henan Agricultural Remote Sensing Big Data Development and Innovation Laboratory, Shangqiu 476000, China;
3. Henan Engineering Technology Research Center of Ecological Protection and Management of the Old Course of Yellow River, Shangqiu 476000, China;
4. China University of Ming and Technology-Beijing, Beijing 100083, China;
5. Henan Institute of Surveying and Mapping, Zhengzhou 450003, China;
6. Henan Institute of Geographic Information, Zhengzhou 450003, China

Received:2024-05-06 Published:2025-03-03

摘要/Abstract

摘要： 为准确提取郑州的地表形变信息,本文基于融合分布式目标的DS-InSAR技术,处理2019年1月—2023年12月的50景Sentinel-1A卫星影像数据,获得主城区的地面形变速率与累积形变量。结果表明,郑州中心城区尤其是地下水禁采区地表存在上升现象,主要沉降区位于郑州东区及中牟县。典型形变区域的分析表明,最大沉降区位于中牟县白沙镇,最大下沉速率约为20.0 mm/a,其他沉降区域则成点状分布于各乡镇与主要居民地。本文试验结果可对郑州的城市规划和建设提供准确的技术支持。

关键词: 郑州, 地表形变, DS-InSAR, PS-InSAR

Abstract: In order to accurately achieve the deformation of the surface displacements of Zhengzhou city, the DS-InSAR technology fusing with high coherence points and distributed targets is employed with 50 Sentinel-1A images acquired from January 2019 to December 2023. And thus the annual ground displacements rate and the cumulative displacements are obtained in the main urban districts. The results indicate that the increasing districts are mainly located in Zhengzhou central area, especially in extracting groundwater in prohibited areas, whereas the settlement regions are distributed in eastern regions and Zhongmu county. And then the deformation in typical area is further analyzed, which shows that the serious sinking regions are located in Baisha town, Zhongmu county, in which the maximum subsidence rate is up to 20.0 mm/a. Furthermore, other sinking districts are scattered over the areas in various villages and towns. The investigation in this paper provides reference for the urban planning and construction of Zhengzhou.

Key words: Zhengzhou, surface displacements, DS-InSAR, PS-InSAR

中图分类号:

P237

张诗玉, 张姿旗, 李雯雯, 高廷婷, 祁礼刚, 曹宏文. 融合PS与DS方法的2019—2023年郑州城区地表形变研究[J]. 测绘通报, 2025, 0(2): 127-131.

ZHANG Shiyu, ZHANG Ziqi, LI Wenwen, GAO Tingting, QI Ligang, CAO Hongwen. Research on surface deformation in Zhengzhou urban area from 2019 to 2023 integrating PS and DS methods[J]. Bulletin of Surveying and Mapping, 2025, 0(2): 127-131.

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融合PS与DS方法的2019—2023年郑州城区地表形变研究

Research on surface deformation in Zhengzhou urban area from 2019 to 2023 integrating PS and DS methods

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