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利用合成孔径雷达数据进行地面沉降分析。

Land subsidence analysis using synthetic aperture radar data.

作者信息

Bokhari Rida, Shu Hong, Tariq Aqil, Al-Ansari Nadhir, Guluzade Rufat, Chen Ting, Jamil Ahsan, Aslam Muhammad

机构信息

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, 430079, China.

Lulea University of Technology, Lulea, 971 87, Sweden.

出版信息

Heliyon. 2023 Mar 20;9(3):e14690. doi: 10.1016/j.heliyon.2023.e14690. eCollection 2023 Mar.

Abstract

Land subsidence is considered a threat to developing cities and is triggered by several natural (geological and seismic) and human (mining, groundwater withdrawal, oil and gas extraction, constructions) factors. This research has gathered datasets consisting of 80 Sentinel-1A ascending and descending SLC images from July 2017 to July 2019. This dataset, concerning InSAR and PS-InSAR, is processed with SARPROZ software to determine the land subsidence in Gwadar City, Balochistan, Pakistan. Later, the maps were created with ArcGIS 10.8. Due to InSAR's limitations in measuring millimeter-scale surface deformation, Multi-Temporal InSAR techniques, like PS-InSAR, are introduced to provide better accuracy, consistency, and fewer errors of deformation analysis. This remote-based SAR technique is helpful in the Gwadar area; for researchers, city mobility is constrained and has become more restricted post-Covid-19. This technique requires multiple images acquired of the same place at different times for estimating surface deformation per year, along with surface uplifting and subsidence. The InSAR results showed maximum deformation in the Koh-i-Mehdi Mountain from 2017 to 2019. The PS-InSAR results showed subsidence up to -92 mm/year in ascending track and -66 mm/year in descending track in the area of Koh-i-Mehdi Mountain, and up to -48 mm/year in ascending track and -32 mm/year in descending track in the area of the deep seaport. From our experimental results, a high subsidence rate has been found in the newly evolving Gwadar City. This city is very beneficial to the country's economic development because of its deep-sea port, developed by the China-Pakistan Economic Corridor (CPEC). The research is associated with a detailed analysis of Gwadar City, identifying the areas with significant subsidence, and enlisting the possible causes that are needed to be resolved before further developments. Our findings are helpful to urban development and disaster monitoring as the city is being promoted as the next significant deep seaport with the start of CPEC.

摘要

地面沉降被视为对发展中城市的一种威胁,它由多种自然(地质和地震)和人为(采矿、地下水抽取、石油和天然气开采、建筑)因素引发。本研究收集了2017年7月至2019年7月期间80幅哨兵-1A升轨和降轨单视复数图像组成的数据集。该关于干涉合成孔径雷达(InSAR)和永久散射体干涉测量法(PS-InSAR)的数据集,使用SARPROZ软件进行处理,以确定巴基斯坦俾路支省瓜达尔市的地面沉降情况。之后,使用ArcGIS 10.8创建地图。由于InSAR在测量毫米级地表变形方面存在局限性,因此引入了多时间InSAR技术,如PS-InSAR,以提供更高的精度、一致性和更少的变形分析误差。这种基于遥感的合成孔径雷达技术在瓜达尔地区很有帮助;对于研究人员来说,城市的流动性受到限制,并且在新冠疫情之后变得更加受限。该技术需要在不同时间获取同一地点的多幅图像,以估计每年的地表变形以及地表的隆起和沉降。InSAR结果显示,2017年至2019年期间,科伊迈赫迪山的变形最大。PS-InSAR结果显示,在科伊迈赫迪山地区,升轨沉降高达-92毫米/年,降轨沉降高达-66毫米/年;在深海港口区域,升轨沉降高达-48毫米/年,降轨沉降高达-32毫米/年。从我们的实验结果来看,在新发展起来的瓜达尔市发现了较高的沉降率。由于中巴经济走廊(CPEC)建设的深海港口,这座城市对该国的经济发展非常有益。该研究涉及对瓜达尔市的详细分析,确定沉降显著的区域,并列出在进一步发展之前需要解决的可能原因。随着这座城市作为CPEC启动后的下一个重要深海港口被推广,我们的研究结果对城市发展和灾害监测很有帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1e5/10033746/9489ba36f7f7/gr1.jpg

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