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Journal : Acta Aquatica: Aquatic Sciences Journal

Analysis of shoreline changes in the city of Gorontalo using remote sensing technology Mahua, Musdalifah H.; Kasim, Faizal; Pasisingi, Nuralim
Acta Aquatica: Aquatic Sciences Journal Acta Aquatica, Vol. 11: No. 1 (April, 2024)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v11i1.12169

Abstract

Coastal areas are essential for economic activities but are also vulnerable to environmental changes caused by human activities. Remote sensing technology can help monitor shoreline changes efficiently and accurately related to the spatial-temporal dynamics of the local area's coastline, which is needed to develop an effective coastal management strategy. By using the Modified Normalized Difference Water Index (MNDWI) water index method for shoreline extraction, the results show that the addition of coastal areas (accretion) as part of the dominant process for coastal equilibrium in almost all coastal regions in Gorontalo City during the 2000-2022 period, experienced trend acceleration significantly during the 2015-2022 period with an increase in the accretion rate of 60.15%. The accretion rate in this period has resulted in an increase in the land area of the coastal zone by 425.44% compared to the accretion that occurred during the 2000-2015 period. The findings of this study can be used as a basis for further research regarding the impact of human activities on coastal ecosystems and the effectiveness of coastal management strategies for Gorontalo City.Keywords: Google earth engine; coastal equilibrium; landsat; sentinel-2; MNDWI
Macrozoobenthic community as a bioindicator for the water quality of the Bone River, Gorontalo Kadim, Miftahul Khair; Pasisingi, Nuralim; Mursalim, Paramita; Arbi, Indah Rianti
Acta Aquatica: Aquatic Sciences Journal Acta Aquatica, Vol. 11: No. 3 (December, 2024)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v11i3.16439

Abstract

The Bone River faces potential pollution due to human activities in the surrounding area. To ensure this, macrozoobenthic is used as a bioindicator, utilizing the characteristics of its constituent communities, which show sedentary behaviour, limited mobility, and sensitivity to water conditions. This research aims to examine the composition of the macrozoobenthic community which reflects the water quality of the Bone River. The research was conducted from May to August 2023 at three observation stations. Water quality evaluation used the Hilsenhoff Family Biotic Index (FBI) methodology. The findings revealed a collection of 1,040 individuals representing 43 macrozoobenthic genera, with Trichoptera, Ephemeroptera, and Diptera widely distributed along the river. A dominance index of 0.2 indicates that there is not a single macrozoobenthic species that dominates, while an FBI value ranging from 3.71 to 5.47 indicates that there is pollution in the Bone River.Keywords: Bioindicator; Family Biotic Index; Macrozoobenthic; River; Water quality