Urban growth and land subsidence: Multi-decadal investigation using human settlement data and satellite InSAR in Morelia, Mexico

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Francesca Cigna , Deodato Tapete
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引用次数: 17

Abstract

Limited attention is typically paid to the cause-effect relationship between land subsidence due to aquifers overexploitation in expanding metropolises and urban growth models and patterns. This paper implements an integrated urban and satellite Interferometric Synthetic Aperture Radar (InSAR) approach to investigate subsidence, multi-decadal urban growth and peopling trends in the Metropolitan Area of Morelia (ZMM) in the Mexican state of Michoacán. Stacking of JRC's Global Human Settlement Layer, DLR's World Settlement Footprint and INEGI's National Geostatistical Framework datasets reveals a predominant edge-expansion growth model, with urban densification in 1975–2020 and some sprawling in 1990–2000. Population of the ZMM doubled in the last 30 years, reaching over 1 million inhabitants. The ENVISAT and Sentinel-1 InSAR analysis confirms that subsidence is structurally-controlled by the main normal faults within the Cuitzeo half-graben. Differential sinking and ground discontinuities are aligned with buried tectonic faults and contrasting compressible sediment thickness. Non-linearly deforming subsidence bowls develop at extraction wells in both old and newly urbanized sectors of the ZMM. Maximum vertical displacement velocities increased from −2.5 cm/year in 2003−2010 to −9.0 cm/year in 2014–2021, with subsidence migrating towards recently urbanized zones. More than 250 new groundwater wells were added to the public registry since 2000, many of which within new urban sectors. Time-lapse InSAR reveals a 4 km2 rapidly subsiding bowl that formed at the largest social housing neighbourhood of Villas del Pedregal, as building lots were progressively completed and sold, and new wells registered. With angular distortions due to the differential subsidence reaching 0.12% in 2014–2021, new buildings and roads are exposed to fracturing and surface faulting risk of comparable level as the city historic building blocks located along the main faults. By providing useful insights into the relationship between urban growth and land subsidence in the ZMM, the approach proves valuable for application to other metropolises worldwide.

Abstract Image

城市增长和地面沉降:利用墨西哥莫雷利亚人类住区数据和卫星InSAR进行的多年代际调查
在不断扩大的大都市中,由于含水层过度开采而引起的地面沉降与城市增长模式和格局之间的因果关系通常受到有限的关注。本文实现了一种城市和卫星干涉合成孔径雷达(InSAR)集成方法,研究了墨西哥Michoacán州莫雷利亚大都会区(ZMM)的沉降、多年城市增长和人口趋势。JRC的全球人类住区层、DLR的世界住区足迹和INEGI的国家地质统计框架数据集的叠加揭示了一个主要的边缘扩张增长模式,1975-2020年城市密度增加,1990-2000年城市扩张。ZMM的人口在过去30年中翻了一番,达到100多万居民。ENVISAT和Sentinel-1 InSAR分析证实,沉降是由Cuitzeo半地堑内的主要正断层控制的。不同的沉降和地面结构面与隐伏的构造断裂和对比的可压沉积层厚度排列一致。在ZMM的老城区和新城区,采掘井处都出现了非线性变形下沉碗状结构。最大垂直位移速度从2003 ~ 2010年的- 2.5 cm/年增加到2014 ~ 2021年的- 9.0 cm/年,沉降向新近城市化地区迁移。自2000年以来,超过250个新的地下水井被添加到公共登记处,其中许多位于新的城市部门。随着建筑用地的逐步完工和出售,以及新井的注册,在villa del Pedregal最大的社会住房社区形成了一个4平方公里的快速下沉的碗状区域。2014年至2021年,由于不同沉降造成的角度扭曲达到0.12%,新建建筑和道路面临的压裂和地表断裂风险与位于主要断层沿线的城市历史建筑街区相当。通过对ZMM中城市增长与地面沉降之间的关系提供有用的见解,该方法被证明具有应用于世界其他大都市的价值。
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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