TY - JOUR
T1 - Development of correlation-regression model between land use change and water quality indices in Ciliwung watershed
AU - Arfan, Yopy
AU - Sutjiningsih, Dwita
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/8/14
Y1 - 2018/8/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85053221178&partnerID=8YFLogxK
U2 - 10.1051/matecconf/201819202047
DO - 10.1051/matecconf/201819202047
M3 - Conference article
AN - SCOPUS:85053221178
SN - 2261-236X
VL - 192
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 02047
T2 - 4th International Conference on Engineering, Applied Sciences and Technology, ICEAST 2018
Y2 - 4 July 2018 through 7 July 2018
ER -
