Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed
Urbanization and industrialization lead to the change of land cover from pervious into impervious. This can impact environmental problems such as water quality degradation that affects human health and water ecosystems. The study aimed to develop a regression-correlation model between impervious cov...
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doaj-a73a6e2815514b3a91af3d307639c1362021-04-02T15:07:35ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011920204710.1051/matecconf/201819202047matecconf_iceast2018_02047Development of correlation-regression model between land use change and water quality indices in Ciliwung watershedArfan Yopy0Sutjiningsih Dwita1Department of Civil Engineering, Faculty of Engineering, Universitas IndonesiaDepartment of Civil Engineering, Faculty of Engineering, Universitas IndonesiaUrbanization and industrialization lead to the change of land cover from pervious into impervious. This can impact environmental problems such as water quality degradation that affects human health and water ecosystems. The study aimed to develop a regression-correlation model between impervious cover in Ciliwung watershed and water quality indices in Ciliwung river. The correlation-regression model can be used to predict changes in the status of Ciliwung river water quality due to impervious cover changes. Methods of assessing the indices of water quality are CCME-WQI, NSF-WQI, and STORET within the period of 2005-2016. Monitoring locations from the most upstream to downstream are Atta’awun, Katulampa, Kedung Halang, Pondok Rajeg, Panus Bridge, Kelapa Dua, Condet, Kalibata, MT Haryono and Manggarai. Impervious cover data for each water quality monitoring location is processed using ArcGIS Software. Test of correlation significance between percentage of impervious cover and water quality indices using Pearson Correlation test method. The result of correlation test is significantly a strong inverse relationship between impervious cover and water quality indices. The result of regression test is trend line between impervious cover change and water quality indices that can be used to predict the change of water quality status in Ciliwung River.https://www.matec-conferences.org/articles/matecconf/pdf/2018/51/matecconf_iceast2018_02047.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arfan Yopy Sutjiningsih Dwita |
spellingShingle |
Arfan Yopy Sutjiningsih Dwita Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed MATEC Web of Conferences |
author_facet |
Arfan Yopy Sutjiningsih Dwita |
author_sort |
Arfan Yopy |
title |
Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed |
title_short |
Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed |
title_full |
Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed |
title_fullStr |
Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed |
title_full_unstemmed |
Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed |
title_sort |
development of correlation-regression model between land use change and water quality indices in ciliwung watershed |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
Urbanization and industrialization lead to the change of land cover from pervious into impervious. This can impact environmental problems such as water quality degradation that affects human health and water ecosystems. The study aimed to develop a regression-correlation model between impervious cover in Ciliwung watershed and water quality indices in Ciliwung river. The correlation-regression model can be used to predict changes in the status of Ciliwung river water quality due to impervious cover changes. Methods of assessing the indices of water quality are CCME-WQI, NSF-WQI, and STORET within the period of 2005-2016. Monitoring locations from the most upstream to downstream are Atta’awun, Katulampa, Kedung Halang, Pondok Rajeg, Panus Bridge, Kelapa Dua, Condet, Kalibata, MT Haryono and Manggarai. Impervious cover data for each water quality monitoring location is processed using ArcGIS Software. Test of correlation significance between percentage of impervious cover and water quality indices using Pearson Correlation test method. The result of correlation test is significantly a strong inverse relationship between impervious cover and water quality indices. The result of regression test is trend line between impervious cover change and water quality indices that can be used to predict the change of water quality status in Ciliwung River. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2018/51/matecconf_iceast2018_02047.pdf |
work_keys_str_mv |
AT arfanyopy developmentofcorrelationregressionmodelbetweenlandusechangeandwaterqualityindicesinciliwungwatershed AT sutjiningsihdwita developmentofcorrelationregressionmodelbetweenlandusechangeandwaterqualityindicesinciliwungwatershed |
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