Multicriteria land cover design via coupled hydrologic and multi-sector water management models
Multicriteria land cover design via coupled hydrologic and multi-sector water management models
We investigate how hydrologic-land feedbacks and a hydrologic-water management linkage impact land cover arrangements optimized within a multiobjective land cover design framework. The framework integrates a spatially-distributed and physically-based hydrologic model, for simulating surface and subsurface flow and land processes, with a network-based multi-sector water resources management and allocation model. Both models used (Parflow, Pywr) are open-source. The framework is applied to a hillslope problem to identify land cover patterns that optimize trade-offs between water, food, energy and environment objectives. Results show trade-offs depend on land cover composition and the spatial arrangement of land covers within the catchment. Total runoff volume and peak flow of runoff was found to change 3 and 2-fold, respectively, between optimized solutions as land cover composition and spatial patterns were altered to satisfy different combinations of objectives. At the same time, up to a 15% reduction in the total runoff volume and an 8% reduction in the peak flow of runoff were observed within optimized land cover patterns having equal composition but different spatial arrangements. This emphasizes the impact on hydrologic behavior of the spatial location of land covers within a catchment. The emergence of patterns in land cover distribution for different trade-offs between objectives is driven by feedback mechanisms between subsurface hydrology and land processes, which are implicitly linked to the properties of each land cover and the interactions between neighboring land covers through lateral groundwater flow. The study demonstrates the added benefits of coupling distributed hydrologic models with water management simulation for multisector multicriteria land cover planning.
Distributed hydrology, Land cover design, Multiobjective optimization, Multisector dynamics, Parallel computing
Janus, Tomasz
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Tomlinson, James
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Anghileri, Daniela
611ecf6c-55d5-4e63-b051-53e2324a7698
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Kollet, Stefan
90fe09a0-a217-4dd9-92fc-9a70289cac9c
Harou, Julien J.
1031e73e-e817-4901-a60f-207d98cd4ed0
1 May 2023
Janus, Tomasz
bb5620cd-64e5-4a4d-9cd8-40bfb397ffd6
Tomlinson, James
d2790445-0993-4d99-b4b0-bcea2e50bf2a
Anghileri, Daniela
611ecf6c-55d5-4e63-b051-53e2324a7698
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Kollet, Stefan
90fe09a0-a217-4dd9-92fc-9a70289cac9c
Harou, Julien J.
1031e73e-e817-4901-a60f-207d98cd4ed0
Janus, Tomasz, Tomlinson, James, Anghileri, Daniela, Sheffield, Justin, Kollet, Stefan and Harou, Julien J.
(2023)
Multicriteria land cover design via coupled hydrologic and multi-sector water management models.
Journal of Hydrology, 620, [129294].
(doi:10.1016/j.jhydrol.2023.129294).
Abstract
We investigate how hydrologic-land feedbacks and a hydrologic-water management linkage impact land cover arrangements optimized within a multiobjective land cover design framework. The framework integrates a spatially-distributed and physically-based hydrologic model, for simulating surface and subsurface flow and land processes, with a network-based multi-sector water resources management and allocation model. Both models used (Parflow, Pywr) are open-source. The framework is applied to a hillslope problem to identify land cover patterns that optimize trade-offs between water, food, energy and environment objectives. Results show trade-offs depend on land cover composition and the spatial arrangement of land covers within the catchment. Total runoff volume and peak flow of runoff was found to change 3 and 2-fold, respectively, between optimized solutions as land cover composition and spatial patterns were altered to satisfy different combinations of objectives. At the same time, up to a 15% reduction in the total runoff volume and an 8% reduction in the peak flow of runoff were observed within optimized land cover patterns having equal composition but different spatial arrangements. This emphasizes the impact on hydrologic behavior of the spatial location of land covers within a catchment. The emergence of patterns in land cover distribution for different trade-offs between objectives is driven by feedback mechanisms between subsurface hydrology and land processes, which are implicitly linked to the properties of each land cover and the interactions between neighboring land covers through lateral groundwater flow. The study demonstrates the added benefits of coupling distributed hydrologic models with water management simulation for multisector multicriteria land cover planning.
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More information
Accepted/In Press date: 15 February 2023
e-pub ahead of print date: 8 March 2023
Published date: 1 May 2023
Additional Information:
Funding Information:
J. Harou was funded through an Alexander von Humboldt Research Fellowship at the Jülich Forschungszentrum. The Natural Environment Research Council (NERC), UK provided funding through the ‘Designing Resilient and Adaptable Water management-Integrated & Interactive Tools’ (DRAW-IT) project ( NE/S017305/1 ). Further funding was provided by the UK Research and Innovation (UKRI) Global Challenge Research Fund (GCRF), UK ‘Future Design and Assessment of water-energy-food-environment Mega-Systems’ (FutureDAMS) project ( ES/P011373/1 ).
Publisher Copyright:
© 2023 The Author(s)
Keywords:
Distributed hydrology, Land cover design, Multiobjective optimization, Multisector dynamics, Parallel computing
Identifiers
Local EPrints ID: 477331
URI: http://eprints.soton.ac.uk/id/eprint/477331
ISSN: 0022-1694
PURE UUID: fcdfa2dc-cf69-435b-8de6-0f9469d3c946
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Date deposited: 05 Jun 2023 16:34
Last modified: 18 Mar 2024 03:49
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Contributors
Author:
Tomasz Janus
Author:
James Tomlinson
Author:
Stefan Kollet
Author:
Julien J. Harou
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