Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach
This paper aims to assess the influence of land use and land cover (LULC) indicators and population density on water quality parameters during dry and rainy seasons in a tourism area in Indonesia. This study applies least squares regression (OLS) and Pearson correlation analysis to see the relations...
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Format: | Article |
Language: | English |
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Springer Science and Business Media
2021
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Online Access: | https://eprints.ums.edu.my/id/eprint/32603/1/Impact%20of%20population%20growth%20and%20land%20use%20and%20land%20cover%20%28LULC%29%20changes%20on%20water%20quality%20in%20tourism-dependent%20economies%20using%20a%20geographically%20weighted%20regression%20approach%20_ABSTRACT.pdf |
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author | Andi Besse Rimba Geetha Mohan Saroj Kumar Chapagain Andi Arumansawang Carolyn Melissa Payus Kensuke Fukushi Husnayaen Msi Takahiro Osawa Ram Avtar |
author_facet | Andi Besse Rimba Geetha Mohan Saroj Kumar Chapagain Andi Arumansawang Carolyn Melissa Payus Kensuke Fukushi Husnayaen Msi Takahiro Osawa Ram Avtar |
author_sort | Andi Besse Rimba |
collection | UMS |
description | This paper aims to assess the influence of land use and land cover (LULC) indicators and population density on water quality parameters during dry and rainy seasons in a tourism area in Indonesia. This study applies least squares regression (OLS) and Pearson correlation analysis to see the relationship among factors, and all LULC and population density were significantly correlated with most of water quality parameter with P values of 0.01 and 0.05. For example, DO shows high correlation with population density, farm, and built-up in dry season; however, each observation point has different percentages of LULC and population density. The concentration value should be different over space since watershed characteristics and pollutions sources are not the same in the diverse locations. The geographically weighted regression (GWR) analyze the spatially varying relationships among population density, LULC categories (i.e., built-up areas, rice fields, farms, and forests), and 11 water quality indicators across three selected rivers (Ayung, Badung, and Mati) with different levels of tourism urbanization in Bali Province, Indonesia. The results explore that compared with OLS estimates, GWR performed well in terms of their R2 values and the Akaike information criterion (AIC) in all the parameters and seasons. Further, the findings exhibit population density as a critical indicator having a highly significant association with BOD and E. Coli parameters. Moreover, the built-up area has correlated positively to the water quality parameters (Ni, Pb, KMnO4 and TSS). The parameter DO is associated negatively with the built-up area, which indicates increasing built-up area tends to deteriorate the water quality. Hence, our findings can be used as input to provide a reference to the local governments and stakeholders for issuing policy on water and LULC for achieving a sustainable water environment in this region. |
first_indexed | 2024-03-06T03:16:02Z |
format | Article |
id | ums.eprints-32603 |
institution | Universiti Malaysia Sabah |
language | English |
last_indexed | 2024-03-06T03:16:02Z |
publishDate | 2021 |
publisher | Springer Science and Business Media |
record_format | dspace |
spelling | ums.eprints-326032022-05-18T07:17:03Z https://eprints.ums.edu.my/id/eprint/32603/ Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach Andi Besse Rimba Geetha Mohan Saroj Kumar Chapagain Andi Arumansawang Carolyn Melissa Payus Kensuke Fukushi Husnayaen Msi Takahiro Osawa Ram Avtar HD101-1395.5 Land use; Land tenure This paper aims to assess the influence of land use and land cover (LULC) indicators and population density on water quality parameters during dry and rainy seasons in a tourism area in Indonesia. This study applies least squares regression (OLS) and Pearson correlation analysis to see the relationship among factors, and all LULC and population density were significantly correlated with most of water quality parameter with P values of 0.01 and 0.05. For example, DO shows high correlation with population density, farm, and built-up in dry season; however, each observation point has different percentages of LULC and population density. The concentration value should be different over space since watershed characteristics and pollutions sources are not the same in the diverse locations. The geographically weighted regression (GWR) analyze the spatially varying relationships among population density, LULC categories (i.e., built-up areas, rice fields, farms, and forests), and 11 water quality indicators across three selected rivers (Ayung, Badung, and Mati) with different levels of tourism urbanization in Bali Province, Indonesia. The results explore that compared with OLS estimates, GWR performed well in terms of their R2 values and the Akaike information criterion (AIC) in all the parameters and seasons. Further, the findings exhibit population density as a critical indicator having a highly significant association with BOD and E. Coli parameters. Moreover, the built-up area has correlated positively to the water quality parameters (Ni, Pb, KMnO4 and TSS). The parameter DO is associated negatively with the built-up area, which indicates increasing built-up area tends to deteriorate the water quality. Hence, our findings can be used as input to provide a reference to the local governments and stakeholders for issuing policy on water and LULC for achieving a sustainable water environment in this region. Springer Science and Business Media 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/32603/1/Impact%20of%20population%20growth%20and%20land%20use%20and%20land%20cover%20%28LULC%29%20changes%20on%20water%20quality%20in%20tourism-dependent%20economies%20using%20a%20geographically%20weighted%20regression%20approach%20_ABSTRACT.pdf Andi Besse Rimba and Geetha Mohan and Saroj Kumar Chapagain and Andi Arumansawang and Carolyn Melissa Payus and Kensuke Fukushi and Husnayaen Msi and Takahiro Osawa and Ram Avtar (2021) Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach. Environmental Science and Pollution Research, 28. pp. 25920-25938. ISSN 0944-1344 (P-ISSN) , 1614-7499 (E-ISSN) https://link.springer.com/article/10.1007/s11356-020-12285-8 https://doi.org/10.1007/s11356-020-12285-8 https://doi.org/10.1007/s11356-020-12285-8 |
spellingShingle | HD101-1395.5 Land use; Land tenure Andi Besse Rimba Geetha Mohan Saroj Kumar Chapagain Andi Arumansawang Carolyn Melissa Payus Kensuke Fukushi Husnayaen Msi Takahiro Osawa Ram Avtar Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach |
title | Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach |
title_full | Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach |
title_fullStr | Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach |
title_full_unstemmed | Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach |
title_short | Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach |
title_sort | impact of population growth and land use and land cover lulc changes on water quality in tourism dependent economies using a geographically weighted regression approach |
topic | HD101-1395.5 Land use; Land tenure |
url | https://eprints.ums.edu.my/id/eprint/32603/1/Impact%20of%20population%20growth%20and%20land%20use%20and%20land%20cover%20%28LULC%29%20changes%20on%20water%20quality%20in%20tourism-dependent%20economies%20using%20a%20geographically%20weighted%20regression%20approach%20_ABSTRACT.pdf |
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