2020
DOI: 10.5194/piahs-382-415-2020
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Atlantis, a tool for producing national predictive land subsidence maps of the Netherlands

Abstract: Abstract. A tool is presented that allows efficient and largely automated production of predictive land subsidence maps on a national scale in the Netherlands. The tool, based on Python scripts, is named Atlantis and calculates the subsidence induced by phreatic groundwater level management in Holocene soft-soil areas through peat oxidation and consolidation. Process formulation, input datasets and data handling procedures are elucidated. Maps produced with Atlantis will soon be available online.

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Cited by 4 publications
(2 citation statements)
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“…While observational limitations are a major challenge in approximating future changes, in many cases future projections VLM are challenging due to the non-linear nature of the processes themselves [Shirzaei et al, 2021, Oelsmann et al, 2023. Thus in addition to accurate and dense VLM observations, the most appropriate and meaningful ways (e.g., process models and assumptions of future scenarios, such as of groundwater extraction [Bootsma et al, 2020, Minderhoud et al, 2020, Fang et al, 2022, or sediment supply in deltas [Zoccarato et al, 2018]) to make projections must be considered.…”
Section: Limitations and Uncertainties Of Current Vlm Observationsmentioning
confidence: 99%
“…While observational limitations are a major challenge in approximating future changes, in many cases future projections VLM are challenging due to the non-linear nature of the processes themselves [Shirzaei et al, 2021, Oelsmann et al, 2023. Thus in addition to accurate and dense VLM observations, the most appropriate and meaningful ways (e.g., process models and assumptions of future scenarios, such as of groundwater extraction [Bootsma et al, 2020, Minderhoud et al, 2020, Fang et al, 2022, or sediment supply in deltas [Zoccarato et al, 2018]) to make projections must be considered.…”
Section: Limitations and Uncertainties Of Current Vlm Observationsmentioning
confidence: 99%
“…The data of these monitoring sites will be used to calibrate and validate land subsidence and peat-oxidation derived CO 2 -emission models of The Netherlands that are linked to a 3D geological model of the subsurface on a 100 m resolution spatial grid (Bootsma et al, 2020). To enrich simulation capabilities, isotache-based soft-soil creep formulations have been implemented in a new aquifer system compaction package SUB-CR for MODFLOW (Kooi et al, 2018) and in a 1-dimensional finite element simulator that allows study of the subsidence response to changes in dynamic water table conditions (Kooi and Erkens, 2020a).…”
Section: Monitoring and Simulationmentioning
confidence: 99%