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Water quality modelling of the Mekong River basin: climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta

Water quality modelling of the Mekong River basin: climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta
Water quality modelling of the Mekong River basin: climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta
The Mekong delta is recognised as one of the world's most vulnerable mega-deltas, being subject to a range of environmental pressures including sea level rise, increasing population, and changes in flows and nutrients from its upland catchment. With changing climate and socioeconomics there is a need to assess how the Mekong catchment will be affected in terms of the delivery of water and nutrients into the delta system. Here we apply the Integrated Catchment model (INCA) to the whole Mekong River Basin to simulate flow and water quality, including nitrate, ammonia, total phosphorus and soluble reactive phosphorus. The impacts of climate change on all these variables have been assessed across 24 river reaches ranging from the Himalayas down to the delta in Vietnam. We used the UK Met Office PRECIS regionally coupled climate model to downscale precipitation and temperature to the Mekong catchment. This was accomplished using the Global Circulation Model GFDL-CM to provide the boundary conditions under two carbon control strategies, namely representative concentration pathways (RCP) 4.5 and a RCP 8.5 scenario. The RCP 4.5 scenario represents the carbon strategy required to meet the Paris Accord, which aims to limit peak global temperatures to below a 2 °C rise whilst seeking to pursue options that limit temperature rise to 1.5 °C. The RCP 8.5 scenario is associated with a larger 3–4 °C rise. In addition, we also constructed a range of socio-economic scenarios to investigate the potential impacts of changing population, atmospheric pollution, economic growth and land use change up to the 2050s. Results of INCA simulations indicate increases in mean flows of up to 24%, with flood flows in the monsoon period increasing by up to 27%, but with increasing periods of drought up to 2050. A shift in the timing of the monsoon is also simulated, with a 4 week advance in the onset of monsoon flows on average. Decreases in nitrogen and phosphorus concentrations occur primarily due to flow dilution, but fluxes of these nutrients also increase by 5%, which reflects the changing flow, land use change and population changes.
0048-9697
218-229
Whitehead, P.
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Jin, L
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Bussi, G
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Voepel, Harold
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Darby, Stephen
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Vasilopoulos, Grigorios
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Manley, R
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Rodda, Harvey
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Hutton, Craig
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Hackney, Christopher
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Van, Tri Pham Dang
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Hung, Nguyen
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Whitehead, P.
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Jin, L
baaa91a4-39ce-427b-bf4a-66b00d5513ca
Bussi, G
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Voepel, Harold
7330972a-c61c-4058-b52c-3669fadfcf70
Darby, Stephen
4c3e1c76-d404-4ff3-86f8-84e42fbb7970
Vasilopoulos, Grigorios
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Manley, R
3fdb4b0d-ea50-4826-9f2b-208f3a93383f
Rodda, Harvey
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Hutton, Craig
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Hackney, Christopher
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Van, Tri Pham Dang
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Hung, Nguyen
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Whitehead, P., Jin, L, Bussi, G, Voepel, Harold, Darby, Stephen, Vasilopoulos, Grigorios, Manley, R, Rodda, Harvey, Hutton, Craig, Hackney, Christopher, Van, Tri Pham Dang and Hung, Nguyen (2019) Water quality modelling of the Mekong River basin: climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta. Science of the Total Environment, 673, 218-229. (doi:10.1016/j.scitotenv.2019.03.315).

Record type: Article

Abstract

The Mekong delta is recognised as one of the world's most vulnerable mega-deltas, being subject to a range of environmental pressures including sea level rise, increasing population, and changes in flows and nutrients from its upland catchment. With changing climate and socioeconomics there is a need to assess how the Mekong catchment will be affected in terms of the delivery of water and nutrients into the delta system. Here we apply the Integrated Catchment model (INCA) to the whole Mekong River Basin to simulate flow and water quality, including nitrate, ammonia, total phosphorus and soluble reactive phosphorus. The impacts of climate change on all these variables have been assessed across 24 river reaches ranging from the Himalayas down to the delta in Vietnam. We used the UK Met Office PRECIS regionally coupled climate model to downscale precipitation and temperature to the Mekong catchment. This was accomplished using the Global Circulation Model GFDL-CM to provide the boundary conditions under two carbon control strategies, namely representative concentration pathways (RCP) 4.5 and a RCP 8.5 scenario. The RCP 4.5 scenario represents the carbon strategy required to meet the Paris Accord, which aims to limit peak global temperatures to below a 2 °C rise whilst seeking to pursue options that limit temperature rise to 1.5 °C. The RCP 8.5 scenario is associated with a larger 3–4 °C rise. In addition, we also constructed a range of socio-economic scenarios to investigate the potential impacts of changing population, atmospheric pollution, economic growth and land use change up to the 2050s. Results of INCA simulations indicate increases in mean flows of up to 24%, with flood flows in the monsoon period increasing by up to 27%, but with increasing periods of drought up to 2050. A shift in the timing of the monsoon is also simulated, with a 4 week advance in the onset of monsoon flows on average. Decreases in nitrogen and phosphorus concentrations occur primarily due to flow dilution, but fluxes of these nutrients also increase by 5%, which reflects the changing flow, land use change and population changes.

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Whitehead_et_al_Mekong_submitted - Accepted Manuscript
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Accepted/In Press date: 20 March 2019
e-pub ahead of print date: 6 April 2019

Identifiers

Local EPrints ID: 430245
URI: http://eprints.soton.ac.uk/id/eprint/430245
ISSN: 0048-9697
PURE UUID: f4429822-7744-4070-8cb0-7f6e4af79a15
ORCID for Harold Voepel: ORCID iD orcid.org/0000-0001-7375-1460
ORCID for Stephen Darby: ORCID iD orcid.org/0000-0001-8778-4394
ORCID for Craig Hutton: ORCID iD orcid.org/0000-0002-5896-756X

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Date deposited: 23 Apr 2019 16:30
Last modified: 16 Mar 2024 07:46

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Contributors

Author: P. Whitehead
Author: L Jin
Author: G Bussi
Author: Harold Voepel ORCID iD
Author: Stephen Darby ORCID iD
Author: Grigorios Vasilopoulos
Author: R Manley
Author: Harvey Rodda
Author: Craig Hutton ORCID iD
Author: Christopher Hackney
Author: Tri Pham Dang Van
Author: Nguyen Hung

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