TY - JOUR
T1 - 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
AU - Rimba, Andi Besse
AU - Mohan, Geetha
AU - Chapagain, Saroj Kumar
AU - Arumansawang, Andi
AU - Payus, Carolyn
AU - Fukushi, Kensuke
AU - Husnayaen,
AU - Osawa, Takahiro
AU - Avtar, Ram
N1 - Funding Information:
We would like to thank JSPS, UNU-IAS WSD Team, the Bali-Penida Watershed Office, especially the head of BWS and BWS staff, Ms. Nanda, Statistic Bureau of Bali Province, Geospatial Information Agency (BIG) and USGS for providing water quality and remote-sensing data. Additionally, we thank the Center for Remote Sensing and Ocean Sciences (CReSOS)-Udayana University and the Research Center of Environmental Studies (PPLH)-Udayana University as the local partner in Bali Province that helped the authors with data collection and field surveys. Finally, thank you to all those who helped to prepare this manuscript, especially to the reviewers for their constructive comments.
Funding Information:
This research was supported by the Japan Society for the Promotion of Science (JSPS). This research is part of the Water for Sustainable Development (WSD) project of the United Nations University-Institute for the Advanced Study of Sustainability (UNU-IAS).
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
KW - Geographically weighted regression (GWR)
KW - Ordinary least squares (OLS)
KW - Population density
KW - Sustainable water environment
KW - Water quality
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U2 - 10.1007/s11356-020-12285-8
DO - 10.1007/s11356-020-12285-8
M3 - Article
C2 - 33475923
AN - SCOPUS:85099738307
SN - 0944-1344
VL - 28
SP - 25920
EP - 25938
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 20
ER -