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Article

Integration of Numerical Models and InSAR Techniques to Assess Land Subsidence Due to Excessive Groundwater Abstraction in the Coastal and Lowland Regions of Semarang City

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Department of Hydraulic and Ocean Engineering, National Cheng Kung University, No. 1 University Road, Tainan 701, Taiwan
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Civil Engineering Department, Universitas Jenderal Soedirman, Jl. HR Bunyamin, Purwokerto 53122, Indonesia
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Department of Geodetic Engineering, Universitas Gadjah Mada, Jl. Grafika No. 2 Bulaksumur, Yogyakarta 55281, Indonesia
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Center for Disaster Studies, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
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Research Center for Geotechnology, Research Organization for Earth Sciences, National Research and Innovation Agency (BRIN), Jl. Sangkuriang, Kompleks LIPI, Kota Bandung 40135, Indonesia
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Department of Civil Engineering, Universitas Diponegoro, Jl. Prof. Soedarto, Tembalang, Semarang 50275, Indonesia
*
Author to whom correspondence should be addressed.
Academic Editor: C. Radu Gogu
Water 2022, 14(2), 201; https://doi.org/10.3390/w14020201
Received: 6 December 2021 / Revised: 4 January 2022 / Accepted: 7 January 2022 / Published: 11 January 2022
(This article belongs to the Special Issue Urban Hydrogeology Studies)
This study was carried out to assess land subsidence due to excessive groundwater abstraction in the northern region of Semarang City by integrating the application of both numerical models and geodetic measurements, particularly those based on the synthetic aperture radar interferometry (InSAR) technique. Since 1695, alluvial deposits caused by sedimentations have accumulated in the northern part of Semarang City, in turn resulting in changes in the coastline and land use up to the present. Commencing in 1900, excessive groundwater withdrawal from deep wells in the northern section of Semarang City has exacerbated natural compaction and aggravated the problem of land subsidence. In the current study, a groundwater model equivalent to the hydrogeological system in this area was developed using MODFLOW to simulate the hydromechanical coupling of groundwater flow and land subsidence. The numerical computation was performed starting with the steady-state flow model from the period of 1970 to 1990, followed by the model of transient flow and land subsidence from the period of 1990 to 2010. Our models were calibrated with deformation data from field measurements collected from various sources (e.g., leveling, GPS, and InSAR) for simulation of land subsidence, as well as with the hydraulic heads from observation wells for simulation of groundwater flow. Comparison of the results of our numerical calculations with recorded observations led to low RMSEs, yet high R2 values, mathematically indicating that the simulation outcomes are in good agreement with monitoring data. The findings in the present study also revealed that land subsidence arising from groundwater pumping poses a serious threat to the northern part of Semarang City. Two groundwater management measures are proposed and the future development of land subsidence is accordingly projected until 2050. Our study shows quantitatively that the greatest land subsidence occurs in Genuk District, with a magnitude of 36.8 mm/year. However, if the suggested groundwater management can be implemented, the rate and affected area of land subsidence can be reduced by up to 59% and 76%, respectively. View Full-Text
Keywords: regional land subsidence; groundwater abstraction; numerical simulation; InSAR; Semarang City regional land subsidence; groundwater abstraction; numerical simulation; InSAR; Semarang City
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MDPI and ACS Style

Lo, W.; Purnomo, S.N.; Dewanto, B.G.; Sarah, D.; Sumiyanto. Integration of Numerical Models and InSAR Techniques to Assess Land Subsidence Due to Excessive Groundwater Abstraction in the Coastal and Lowland Regions of Semarang City. Water 2022, 14, 201. https://doi.org/10.3390/w14020201

AMA Style

Lo W, Purnomo SN, Dewanto BG, Sarah D, Sumiyanto. Integration of Numerical Models and InSAR Techniques to Assess Land Subsidence Due to Excessive Groundwater Abstraction in the Coastal and Lowland Regions of Semarang City. Water. 2022; 14(2):201. https://doi.org/10.3390/w14020201

Chicago/Turabian Style

Lo, Weicheng, Sanidhya N. Purnomo, Bondan G. Dewanto, Dwi Sarah, and Sumiyanto. 2022. "Integration of Numerical Models and InSAR Techniques to Assess Land Subsidence Due to Excessive Groundwater Abstraction in the Coastal and Lowland Regions of Semarang City" Water 14, no. 2: 201. https://doi.org/10.3390/w14020201

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