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利用时间序列 Sentinel-1 数据集和 PSInSAR 方法分析城市化引起的地下水压力和地面变形。

Analyzing urbanization induced groundwater stress and land deformation using time-series Sentinel-1 datasets applying PSInSAR approach.

机构信息

Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Uttarakhand, India.

Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India.

出版信息

Sci Total Environ. 2022 Oct 20;844:157103. doi: 10.1016/j.scitotenv.2022.157103. Epub 2022 Jul 8.

Abstract

Urban intensification has taken a serious toll on the groundwater reserves which is one of the primary sources of fresh water on earth. Exploitation of groundwater has exponentially increased over time, especially in urban landscapes, with ever increasing demands to cater the growing population and development processes. This emphasizes on the importance of proper monitoring of the groundwater variations, which is a difficult process for not being directly accessible for physical measurements. Therefore, it is essential to develop advanced innovative indirect methods to help long-term monitoring of groundwater reserves at a relatively higher resolution, so that local level variations and their impact could be studied in case of excessively exploited zones, like cities. Recent studies have linked land-subsidence to over-exploitation of groundwater, which can be critical for urban scenario, which requires longer duration for replenishment. Thus, this study focuses on monitoring of the groundwater variations using time-series Sentinel-1 Interferometric SAR (InSAR) datasets by retrieving land deformation by PsInSAR (Persistent Scatterer Interferometric SAR) technique; applying phase information of permanent scattering candidates. 58 and 60 images were acquired during ascending and descending passes respectively between 9/10/2014 to 2/7/2020 for the study area i.e., Lucknow city (India) and its surroundings. The field measurements of groundwater level for various seasons (pre and post monsoons) were acquired from the Central Groundwater Board, Government of India (CGWB). Besides, Landsat 5 and 8 datasets were utilized to analyze the pattern of urban growth for a 30-year period and predict the near future scenario. In-depth analysis of all the components revealed a direct relationship between land deformation, groundwater variations and urban expansion. A high correlation coefficient of 0.886 was observed between groundwater level variation and the retrieved deformation measured along the groundwater wells along the deformation zones. Therefore, the overall analysis and results indicate that PsInSAR technique has great potential for estimating the groundwater levels and surface deformation at higher resolution and could be easily applied for any other city for continuous assessment.

摘要

城市的密集化对地下水储量造成了严重的影响,而地下水是地球上主要的淡水资源之一。随着时间的推移,地下水的开采量呈指数级增长,特别是在城市景观中,由于人口增长和发展进程的需求不断增加,对地下水的需求也在不断增加。这就强调了对地下水变化进行适当监测的重要性,由于地下水无法直接进行物理测量,因此这是一个困难的过程。因此,开发先进的创新间接方法来帮助以更高的分辨率对地下水储量进行长期监测至关重要,以便在过度开采的地区(如城市)研究当地的变化及其影响。最近的研究将地面沉降与地下水过度开采联系起来,这对城市环境来说可能是至关重要的,因为城市需要更长的时间来补充地下水。因此,本研究专注于使用时间序列 Sentinel-1 干涉合成孔径雷达(InSAR)数据集通过 PsInSAR(永久散射体干涉合成孔径雷达)技术来监测地下水变化,该技术通过提取相位信息来获取永久散射体候选物的地表变形。在 2014 年 9 月 10 日至 2020 年 2 月 7 日期间,分别在升轨和降轨上获取了 58 幅和 60 幅图像,研究区域为印度勒克瑙市及其周边地区。地下水水位的实地测量数据是从印度政府中央地下水委员会(CGWB)获取的,这些数据是在不同季节(前季风期和后季风期)获取的。此外,还利用 Landsat 5 和 8 数据集分析了 30 年的城市发展模式,并预测了未来的情况。对所有组件的深入分析表明,地表变形、地下水变化和城市扩张之间存在直接关系。在变形带沿线的地下水井中测量到的与地下水变化相关的变形的相关系数为 0.886,相关性很高。因此,总体分析和结果表明,PsInSAR 技术在以更高的分辨率估算地下水水位和地表变形方面具有很大的潜力,并且可以很容易地应用于任何其他城市进行连续评估。

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