Separation and attribution of impacts of changes in land use and climate on hydrological processes

This study aims to assess, compare, and attribute the effects due to separate and combined land use/land cover (LULC) and climate changes on hydrological processes in a tropical catchment. The Soil and Water Assessment Tool (SWAT) model is set up and calibrated for a small contributing sub-basin of...

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Main Authors: Polong F., Deng K., Pham Q.B., Linh N.T.T., Abba S.I., Ahmed A.N., Anh D.T., Khedher K.M., El-Shafie A.
Other Authors: 57196370996
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Published: Springer 2024
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spelling my.uniten.dspace-344242024-10-14T11:19:41Z Separation and attribution of impacts of changes in land use and climate on hydrological processes Polong F. Deng K. Pham Q.B. Linh N.T.T. Abba S.I. Ahmed A.N. Anh D.T. Khedher K.M. El-Shafie A. 57196370996 57207832583 57208495034 57211268069 57208942739 57214837520 57210116833 57210443508 16068189400 Kenya Tana Basin catchment climate change computer simulation hydrological response land use change Landsat thematic mapper satellite imagery streamflow This study aims to assess, compare, and attribute the effects due to separate and combined land use/land cover (LULC) and climate changes on hydrological processes in a tropical catchment. The Soil and Water Assessment Tool (SWAT) model is set up and calibrated for a small contributing sub-basin of the Tana River Basin (TRB) in Kenya. The model is then applied to simulate the hydrological components (i.e., streamflow (FLOW), evapotranspiration (ET), soil water (SW), and water yield (WYLD)) for different combinations of LULC and climate scenarios. Land use data generated from Land Satellite 5 Thematic Mapper (Landsat 5TM) images for two different periods (1987 and 2011) and satellite-based precipitation data from the African Rainfall Climatology version 2 (ARC2) dataset are utilized as inputs to the SWAT model. The Nash�Sutcliffe model efficiency (NSE), coefficient of determination (R2), percent bias (PBIAS), and the ratio of root mean square error to the standard deviation (RSR) for daily streamflow were 0.73, 0.76, 3.16%, and 0.51 in calibration period, respectively, and 0.45, 0.54, 12.53%, and 0.79 in validation period, respectively, suggesting that the model performed relatively good. An analysis of the LULC data for the catchment showed that there was an increase in agricultural, grassland, and forested land with a concomitant decrease in woodland and shrubland. Simulation results revealed that change in climate had a more significant effect on the simulated parameters than the change in LULC. It is shown that changes in LULC only had very minor effects in the simulated parameters. The monthly mean FLOW and WYLD decreased by 0.02% and 0.11%, respectively, while ET and SW increased by a monthly mean of 0.2% and 2.2%. Varying the catchment climate and holding the land use constant reduced FLOW, ET, SW, and WYLD by an average monthly mean of 43.2%, 21%, 13%, and 70%, respectively, indicating that climate changes have more significant effects on the catchment hydrological processes than changes in LULC. Thus, it is necessary to evaluate and identify the isolated and combined effects of LULC and climatic changes when assessing impacts on the TRB�s hydrological processes. � 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature. Final 2024-10-14T03:19:41Z 2024-10-14T03:19:41Z 2023 Article 10.1007/s00704-022-04351-7 2-s2.0-85146394020 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146394020&doi=10.1007%2fs00704-022-04351-7&partnerID=40&md5=ed1fbe7abde077732e2aecd3dfdf5f8b https://irepository.uniten.edu.my/handle/123456789/34424 151 3-Apr 1337 1353 Springer Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Kenya
Tana Basin
catchment
climate change
computer simulation
hydrological response
land use change
Landsat thematic mapper
satellite imagery
streamflow
spellingShingle Kenya
Tana Basin
catchment
climate change
computer simulation
hydrological response
land use change
Landsat thematic mapper
satellite imagery
streamflow
Polong F.
Deng K.
Pham Q.B.
Linh N.T.T.
Abba S.I.
Ahmed A.N.
Anh D.T.
Khedher K.M.
El-Shafie A.
Separation and attribution of impacts of changes in land use and climate on hydrological processes
description This study aims to assess, compare, and attribute the effects due to separate and combined land use/land cover (LULC) and climate changes on hydrological processes in a tropical catchment. The Soil and Water Assessment Tool (SWAT) model is set up and calibrated for a small contributing sub-basin of the Tana River Basin (TRB) in Kenya. The model is then applied to simulate the hydrological components (i.e., streamflow (FLOW), evapotranspiration (ET), soil water (SW), and water yield (WYLD)) for different combinations of LULC and climate scenarios. Land use data generated from Land Satellite 5 Thematic Mapper (Landsat 5TM) images for two different periods (1987 and 2011) and satellite-based precipitation data from the African Rainfall Climatology version 2 (ARC2) dataset are utilized as inputs to the SWAT model. The Nash�Sutcliffe model efficiency (NSE), coefficient of determination (R2), percent bias (PBIAS), and the ratio of root mean square error to the standard deviation (RSR) for daily streamflow were 0.73, 0.76, 3.16%, and 0.51 in calibration period, respectively, and 0.45, 0.54, 12.53%, and 0.79 in validation period, respectively, suggesting that the model performed relatively good. An analysis of the LULC data for the catchment showed that there was an increase in agricultural, grassland, and forested land with a concomitant decrease in woodland and shrubland. Simulation results revealed that change in climate had a more significant effect on the simulated parameters than the change in LULC. It is shown that changes in LULC only had very minor effects in the simulated parameters. The monthly mean FLOW and WYLD decreased by 0.02% and 0.11%, respectively, while ET and SW increased by a monthly mean of 0.2% and 2.2%. Varying the catchment climate and holding the land use constant reduced FLOW, ET, SW, and WYLD by an average monthly mean of 43.2%, 21%, 13%, and 70%, respectively, indicating that climate changes have more significant effects on the catchment hydrological processes than changes in LULC. Thus, it is necessary to evaluate and identify the isolated and combined effects of LULC and climatic changes when assessing impacts on the TRB�s hydrological processes. � 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.
author2 57196370996
author_facet 57196370996
Polong F.
Deng K.
Pham Q.B.
Linh N.T.T.
Abba S.I.
Ahmed A.N.
Anh D.T.
Khedher K.M.
El-Shafie A.
format Article
author Polong F.
Deng K.
Pham Q.B.
Linh N.T.T.
Abba S.I.
Ahmed A.N.
Anh D.T.
Khedher K.M.
El-Shafie A.
author_sort Polong F.
title Separation and attribution of impacts of changes in land use and climate on hydrological processes
title_short Separation and attribution of impacts of changes in land use and climate on hydrological processes
title_full Separation and attribution of impacts of changes in land use and climate on hydrological processes
title_fullStr Separation and attribution of impacts of changes in land use and climate on hydrological processes
title_full_unstemmed Separation and attribution of impacts of changes in land use and climate on hydrological processes
title_sort separation and attribution of impacts of changes in land use and climate on hydrological processes
publisher Springer
publishDate 2024
_version_ 1814060093695590400
score 13.209306