ANALYSIS OF THE EFFECTS OF LAND USE CHANGE ON WATER QUALITY IN THE UPPER CITARUM RIVER USING MULTIPLE LINEAR REGRESSION AND REDUNDANCY ANALYSIS
Water quality is crucial for determining its suitability for various domestic, industrial, agricultural, and environmental needs. Over time, water quality may degrade due to land use changes, including those in water, forest, built-up, farmland and landscape configurations across different catchm...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/84757 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Water quality is crucial for determining its suitability for various domestic,
industrial, agricultural, and environmental needs. Over time, water quality may
degrade due to land use changes, including those in water, forest, built-up,
farmland and landscape configurations across different catchment areas. This
study aims to evaluate the impact of land use changes on the water quality of the
Upper Citarum River in the Wangisagara, Koyod, Cisirung, and Nanjung
catchment areas, based on land use changes from 2014, 2017, and 2022. The
water quality parameters analyzed include EC, WT, pH, TDS, TSS, NH3-N, BOD,
COD, DO, NO3-N, and free chlorine, which are influenced by spatial, temporal,
and seasonal variations. Multiple Linear Regression identifies a set of land use
variables that affect individual water quality parameters. The analysis shows that
the water are negatively correlated with WT but positively correlated with free
chlorine. EC, and free chlorine are negatively correlated with forest. Built-up are
positively correlated with COD, BOD, and WT. Farmland is positively correlated
with NO3-N, NH3-N, and TSS, while LSI is negatively correlated with COD. ED is
negatively correlated with free chlorine and CONTAG is positively correlated
with BOD. Redundancy Analysis provides an overview of a set of land use
variables affecting a set of water quality variables. The results reveal that the
water is the primary predictor of water quality parameters. The impact of land
use in the Cisirung catchment area produces a better model compared to other
catchment areas. |
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