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Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin
STUDY REGION: Nile basin. STUDY FOCUS: Several studies have shown a relationship between climate change and changes in sediment yield. However, there are limited modeling applications that study this relationship at regional scales mainly due to data availability and computational cost. This study p...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350554/ https://www.ncbi.nlm.nih.gov/pubmed/35946031 http://dx.doi.org/10.1016/j.ejrh.2022.101152 |
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author | Nkwasa, Albert Chawanda, Celray James van Griensven, Ann |
author_facet | Nkwasa, Albert Chawanda, Celray James van Griensven, Ann |
author_sort | Nkwasa, Albert |
collection | PubMed |
description | STUDY REGION: Nile basin. STUDY FOCUS: Several studies have shown a relationship between climate change and changes in sediment yield. However, there are limited modeling applications that study this relationship at regional scales mainly due to data availability and computational cost. This study proposes a methodological framework using the SWAT+ model to predict and project sediment yield at a regional scale in data-scarce regions using global datasets. We implement a framework that (a) incorporates topographic factors from high/medium resolution DEMs (b) incorporates crop phenology data (c) introduces an areal threshold to linearize sediment yield in large model units and (d) apply a hydrological mass balance calibration. We test this methodology in the Nile Basin using a model application with (revised) and without (default) the framework under historical and future climate projections. NEW HYDROLOGICAL INSIGHTS FOR THE REGION: Results show improved sediment yield estimates in the revised model, both in absolute values and spatial distribution when compared to measured and reported estimates. The contemporary long term (1989 – 2019) annual mean sediment yield in the revised model was 1.79 t ha(−1) yr(−1) and projected to increase by 61 % (44 % more than the default estimates) in the future period (2071 – 2100), with the greatest sediment yield increase in the eastern part of the basin. Thus, the proposed framework improves and influences modeled and predicted sediment yield respectively. |
format | Online Article Text |
id | pubmed-9350554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V |
record_format | MEDLINE/PubMed |
spelling | pubmed-93505542022-08-07 Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin Nkwasa, Albert Chawanda, Celray James van Griensven, Ann J Hydrol Reg Stud Article STUDY REGION: Nile basin. STUDY FOCUS: Several studies have shown a relationship between climate change and changes in sediment yield. However, there are limited modeling applications that study this relationship at regional scales mainly due to data availability and computational cost. This study proposes a methodological framework using the SWAT+ model to predict and project sediment yield at a regional scale in data-scarce regions using global datasets. We implement a framework that (a) incorporates topographic factors from high/medium resolution DEMs (b) incorporates crop phenology data (c) introduces an areal threshold to linearize sediment yield in large model units and (d) apply a hydrological mass balance calibration. We test this methodology in the Nile Basin using a model application with (revised) and without (default) the framework under historical and future climate projections. NEW HYDROLOGICAL INSIGHTS FOR THE REGION: Results show improved sediment yield estimates in the revised model, both in absolute values and spatial distribution when compared to measured and reported estimates. The contemporary long term (1989 – 2019) annual mean sediment yield in the revised model was 1.79 t ha(−1) yr(−1) and projected to increase by 61 % (44 % more than the default estimates) in the future period (2071 – 2100), with the greatest sediment yield increase in the eastern part of the basin. Thus, the proposed framework improves and influences modeled and predicted sediment yield respectively. Elsevier B.V 2022-08 /pmc/articles/PMC9350554/ /pubmed/35946031 http://dx.doi.org/10.1016/j.ejrh.2022.101152 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nkwasa, Albert Chawanda, Celray James van Griensven, Ann Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin |
title | Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin |
title_full | Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin |
title_fullStr | Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin |
title_full_unstemmed | Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin |
title_short | Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin |
title_sort | regionalization of the swat+ model for projecting climate change impacts on sediment yield: an application in the nile basin |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350554/ https://www.ncbi.nlm.nih.gov/pubmed/35946031 http://dx.doi.org/10.1016/j.ejrh.2022.101152 |
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