Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed

Analysis of the historical land-cover of Muar River watershed has shown that forest and agriculture are the dominant land-covers over the last three decades. This information was used to evaluate the relationship between the vegetative landscape variation to stream water quality concentrations which...

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Main Authors: Bello, Al-Amin Danladi, Mohd. Haniffah, Mohd. Ridza, Hanapi, Muhammad Nassir
Format: Article
Language:English
Published: Taylor and Francis Online 2019
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Online Access:http://eprints.utm.my/id/eprint/87346/1/MohdRidzaMohdHaniffah2019_ResponsesofStreamWaterQualityConcentrations.pdf
http://eprints.utm.my/id/eprint/87346/
https://www.tandfonline.com/doi/pdf/10.1080/24749508.2018.1553440?needAccess=true
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Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.87346
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spelling my.utm.873462020-11-30T09:01:10Z http://eprints.utm.my/id/eprint/87346/ Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed Bello, Al-Amin Danladi Mohd. Haniffah, Mohd. Ridza Hanapi, Muhammad Nassir TA Engineering (General). Civil engineering (General) Analysis of the historical land-cover of Muar River watershed has shown that forest and agriculture are the dominant land-covers over the last three decades. This information was used to evaluate the relationship between the vegetative landscape variation to stream water quality concentrations which was to provide an insight for management of water quality under humid tropical climate. Three out of the six water quality variables simulated using the hydrological simulation program FORTRAN (HSPF) model are sensitive to change in vegetative land-covers which include; biochemical oxygen demand (BOD), nitrate-nitrogen (NO3-N), and orthophosphate (PO4) concentrations. However, total suspended solids (TSS), dissolved oxygen (DO), and ammonia-nitrogen (NH3-N) concentrations remain insensitive. Further analysis shows that patch density (PD) has a little impact on BOD, NO3-N, and PO4 concentrations compared to edge density (ED), largest patch index (LPI), and landscape shape index (LSI) under varied landscape conditions. However, large ED, LPI, and LSI indices in both forest and agriculture will result to increase in BOD, NO3-N, and PO4 concentrations. Therefore, adequate knowledge of the responses of the water quality concentrations to landscape pattern and its dynamics can serve as an alternative solution to stream water quality deterioration in an abundant rainfall region. Taylor and Francis Online 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/87346/1/MohdRidzaMohdHaniffah2019_ResponsesofStreamWaterQualityConcentrations.pdf Bello, Al-Amin Danladi and Mohd. Haniffah, Mohd. Ridza and Hanapi, Muhammad Nassir (2019) Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed. Geology, Ecology, and Landscapes, 3 (3). pp. 210-222. ISSN 2474-9508 https://www.tandfonline.com/doi/pdf/10.1080/24749508.2018.1553440?needAccess=true
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Bello, Al-Amin Danladi
Mohd. Haniffah, Mohd. Ridza
Hanapi, Muhammad Nassir
Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed
description Analysis of the historical land-cover of Muar River watershed has shown that forest and agriculture are the dominant land-covers over the last three decades. This information was used to evaluate the relationship between the vegetative landscape variation to stream water quality concentrations which was to provide an insight for management of water quality under humid tropical climate. Three out of the six water quality variables simulated using the hydrological simulation program FORTRAN (HSPF) model are sensitive to change in vegetative land-covers which include; biochemical oxygen demand (BOD), nitrate-nitrogen (NO3-N), and orthophosphate (PO4) concentrations. However, total suspended solids (TSS), dissolved oxygen (DO), and ammonia-nitrogen (NH3-N) concentrations remain insensitive. Further analysis shows that patch density (PD) has a little impact on BOD, NO3-N, and PO4 concentrations compared to edge density (ED), largest patch index (LPI), and landscape shape index (LSI) under varied landscape conditions. However, large ED, LPI, and LSI indices in both forest and agriculture will result to increase in BOD, NO3-N, and PO4 concentrations. Therefore, adequate knowledge of the responses of the water quality concentrations to landscape pattern and its dynamics can serve as an alternative solution to stream water quality deterioration in an abundant rainfall region.
format Article
author Bello, Al-Amin Danladi
Mohd. Haniffah, Mohd. Ridza
Hanapi, Muhammad Nassir
author_facet Bello, Al-Amin Danladi
Mohd. Haniffah, Mohd. Ridza
Hanapi, Muhammad Nassir
author_sort Bello, Al-Amin Danladi
title Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed
title_short Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed
title_full Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed
title_fullStr Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed
title_full_unstemmed Responses of stream water quality concentrations to vegetative cover variation in Muar River watershed
title_sort responses of stream water quality concentrations to vegetative cover variation in muar river watershed
publisher Taylor and Francis Online
publishDate 2019
url http://eprints.utm.my/id/eprint/87346/1/MohdRidzaMohdHaniffah2019_ResponsesofStreamWaterQualityConcentrations.pdf
http://eprints.utm.my/id/eprint/87346/
https://www.tandfonline.com/doi/pdf/10.1080/24749508.2018.1553440?needAccess=true
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