Study of total suspended solid concentration based on Doxaran algorithm using Landsat 8 image in coastal water between Bodri River estuary up to east flood canal Semarang City


Tjaturahono Budi Sanjoto, - (2020) Study of total suspended solid concentration based on Doxaran algorithm using Landsat 8 image in coastal water between Bodri River estuary up to east flood canal Semarang City. IOP Conference Series: Earth and Environmental Science, Volume 561, The International Conference of Science and Applied Geography 24 August 2019, West Java, Indonesia, 561. pp. 1-7. ISSN 1755-1315

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Abstract

The water quality in the northern coastal waters estuary of Central Java has been polluted at a moderate to severe level. Water quality monitoring efforts for evaluating the condition of dissolved sedimentation can be done through total suspended solid methods by analising the remote sensing imagery. Total suspended solid (TSS) is measured by suspended material (diameter> 1 µm) which retained in the millopore filter with a 0.45 µm pore diameter. The purpose of this research is to assess the distribution of TSS concentrations in the research location. This study was conducted using Landsat 8 image data on August 9th, 2018. TSS concentration values were obtained through linear regression tests Doxaran algorithm which is the most suitable algorithm with the field condition. The results showed that: 1) The appropriate empirical algorithm for mapping TSS concentrations is the Doxaran algorithm with the TSS equation = 1.0248x - 10.503, 2) Distribution of TSS with the range >75 mg/l mostly concentrated in center and west of the study area, while the concentration with range <75 mg/l is concentrated in the east, and 3) Distribution of TSS is affected by the movement of currents driven by the wind towards the west and southwest and partly collected in the western part of the study area.

Item Type: Article
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Fakultas: Fakultas Ilmu Sosial > Pendidikan Geografi, S1
Depositing User: Setyarini UPT Perpus
Date Deposited: 05 Dec 2022 06:25
Last Modified: 05 Dec 2022 06:25
URI: http://lib.unnes.ac.id/id/eprint/53883

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