Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Quality of Non-Point Source Pollutant Identification using Digital Image and Remote Sensing Image

Authors: Riki Mukhaiyar

Abstract:

The integration between technology of remote sensing, information from the data of digital image, and modeling technology for the simulation of water quality will provide easiness during the observation on the quality of water changes on the river surface. For example, Ciliwung River which is contaminated with non-point source pollutant from household wastes, particularly on its downstream. This fact informed that the quality of water in this river is getting worse. The land use for settlements and housing ranges between 62.84% - 81.26% on the downstream of Ciliwung River, give a significant picture in seeing factors that affected the water quality of Ciliwung River.

Keywords: Digital Image, Digitize, Landuse, Non-Point SourcePollutant, Qual2e Simulation

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084802

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1718

References:


[1] Marganingrum, Dyah, "Studi Perilaku Dinamis Ketersediaan Air Sungai Brantas dalam Memenuhi Kebutuhan Air Baku dan Menanggung Beban Pencemaran dengan Pendekatan Metodologi Sistem Dinamis," Thesis, in ITB Industrial Engineering Department Library, Bandung: Institut Teknologi Bandung (ITB), 2000.
[2] Mukhaiyar, Riki, "Pengembangan Fungsi Sistem Klasifikasi Citra Satelit Untuk Aplikasi Sistem Informasi Geografis," Thesis, in ITB Electrical Engineering Department Library, Bandung: Institut Teknologi Bandung (ITB), 2003.
[3] Regional Action Plan Prokasih Vision of Ciliwung River 2005, Bappedalda DKI Jakarta, Jakarta, September 2001.