| Issue |
E3S Web Conf.
Volume 202, 2020
The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|
|
|---|---|---|
| Article Number | 06019 | |
| Number of page(s) | 10 | |
| Section | Green Infrastructure and Resilience | |
| DOI | https://doi.org/10.1051/e3sconf/202020206019 | |
| Published online | 10 November 2020 | |
Monitoring of water quality in Ciujung river using remote sensing and GIS
1 Magister Program of Environmental Science, School of Post-Graduate, Diponegoro University, Semarang - Indonesia
* Corresponding author: shofiyatul.afidah@gmail.com
Ciujung River is one of the important rivers in Banten Province and it is the main water supply for agriculture, industry and bathing. Due to extensive agricultural, urban, and industrial activities in the watershed of this ecosystem, some studies have assumed that the river is contaminated. But, there is no research related Ciujung River water quality with biological indicator and maping pollutant sources. The aim of this study is analyze : water quality of Ciujung River and influence of activities in Ciujung watershed to the water pollution in Ciujung River. Calculation Pollution Index (PI) and calculation chlorophyll-a abundance are adopted for water quality assessments. Water quality were analysed based on secondary data from BBWS C3 in January-May 2020. Chlorophyll-a abundance measured by Sentinel-2 imagery, water quality assessments result of each section presented in spasial data with GIS. Water quality map overlayed with land use map to indentify the influence of activities in Ciujung watershed to water pollution in Ciujung River. PI calculation results show that Ciujung River is moderately polluted, PI calculation result of each section is >5. Meanwhile, the abundance of chlorophyll-a can describe level of pollution in Ciujung River from biological parameters, the highest chlorophyll-a abundance is in Pamarayan (38,6) and the lowest chlorophyll-a abundance is in Jembatan Keong (18,6).
Key words: Ciujung river / GIS / remote sensing
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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