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The impact of weather Condition Changes on Vertical Distribution of Sulfides in Lake Maninjau Based on Observation Data Putri, Mutiara Rachmat; Jasalesmana, Taofik; Abdurrachman, Mirzam; Henny, Cynthia; Nomosatryo, Sulung; Albani, Alif Shidqie
LIMNOTEK Perairan Darat Tropis di Indonesia Vol. 30 No. 1 (2024)
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/limnotek.2024.2203

Abstract

Sulfide is a crucial parameter in volcanic lakes, as its levels and fluctuations in the lake determine the origin of sulfide and the extent of its impact on the lake ecosystem. In stratified lakes, the sulfide produced tends to be retained beneath the oxic layer. The sulfides rise towards the surface as the oxic layer thins triggered by decreased water column thermal stratification. Meanwhile, the strength or weakness of thermal stratification is greatly influenced by weather conditions. Lake Maninjau is a volcanic lake with a relatively high sulfide content. Its vertical distribution in the water column is highly dependent on the stratification of the water column. When stratification disappears, sulfide rises to the surface (locally known as tubo belerang) and has a negative impact on surface biota. The objective of this study is to examine the distribution of sulfides in the water column of Lake Maninjau under two different weather conditions. We perform two surveys to measure physicochemical parameters and sulfide concentration on 26‒29 November 2022 and 25‒26 August 2023 considering the seasonal pattern. We found that air temperatures and sunshine duration combined with precipitation and wind speed drive the thermal stratification of the water column. The lower air temperature, shorter sunshine duration, higher precipitation, and stronger wind speed in the first survey (west monsoon) compared with the second survey (east monsoon) resulted in lower stratification and triggered the elevated sulfide to the surface. In the middle of the lake, the surface sulfide measured during the first survey was 4.16 µg/L. Meanwhile, in the second survey, it was only observed at 1.16 µg/L. The distribution of sulfides within the water column of Lake Maninjau is regulated by the stratification of the water column, a process directly impacted by weather conditions.
Investigation of environmental factors impact on fish catch in East Java waters Nurfitri, Suliskania; Putri, Ajeng Tiara; Putri, Mutiara Rachmat
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 14, No 2 (2025): JUNE 2025
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.14.2.44373

Abstract

This study explores the relationship between environmental parameters and fish catch rates for scad, skipjack, and yellowfin tuna in East Java waters from 2019 to 2022. The environmental factors considered include sea surface temperature (SST), chlorophyll-a concentration, and Ekman pumping velocity (EPV) as indicators of upwelling. SST and chlorophyll-a data were obtained from Aqua MODIS satellite observations, while wind and seawater density data for EPV calculations were sourced from ERA5 and SMOS-OI, respectively. Fish catch data were provided by the Department of Marine and Fisheries of East Java. Cross-correlation analysis revealed a negative correlation between SST and fish catch, with time lags of 2, 4, and 5 months for scad, skipjack, and yellowfin tuna, respectively. Chlorophyll-a concentration showed a positive correlation with fish catch, particularly for scad (0.6 with a one-month lag) and for skipjack and yellowfin tuna (0.62 with a four-month lag). Additionally, EPV exhibited a positive correlation (0.3 to 0.6) with fish catch. These findings emphasize the significance of SST and chlorophyll-a as indicators of fish population dynamics and offer valuable insights for fisheries management.Keywords:East Java WatersSea surface temperatureChlorophyll-aFishcatchUpwelling
NUMERICAL SIMULATION OF THE 2018 KRAKATAU TSUNAMI GENERATED BY FLANK COLLAPSE AND ASESSMENT OF TSUNAMI HEIGHT IN PANDEGLANG REGENCY Latief, Hamzah; ISNAENI, KHOLILLAH YUDICIA; PUTRI, MUTIARA RACHMAT; FAIZIN, HAEKAL YUSRIL; DIASTOMO, HANIF; Anwar, Iwan Pramesti
Bulletin of Geology Vol 7 No 1 (2023): Bulletin of Geology
Publisher : Fakultas Ilmu dan Teknologi Kebumian (FITB), Institut Teknologi Bandung (ITB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/bull.geol.2023.7.1.4

Abstract

This study aims to reconstruct the tsunami event on December 22, 2018, due to the eruption of Anak Krakatau Volcano, which caused a flank collapse and generated an underwater landslide. Then this landslide caused a tsunami that impacted the coast of the Sunda Strait, especially on the coast of Pandeglang Regency. Based on satellite imagery, it is known that the landslide source came from the southwestern part of Anak Krakatau's wall moving down the former caldera wall of the 1883 Krakatau volcanic eruption. The mount grew again and was known as Anak Krakatau Volcano and appeared above sea level in 1929 and continued to grow. Subsequently, several eruptions spewed sediment deposits that had accumulated on the edges and foot of the mount. These sediments increased and became unstable, causing flank collapse and triggering underwater landslides. Several simulation scenarios have been carried out to obtain the best model that can represent the 2018 Anak Krakatau Tsunami with landslide parameters, namely: the volume of the landslide is 0.276 km3, the duration of propagation is 410 seconds, the inclination angle is 8.2°, and the length of the landslide trajectory is 3435 meters. The waveform generated as a tsunami source is in the form of wave peaks in the direction of the slide and wave valleys on the back of the slide. Furthermore, this wave propagated in all directions but primarily focused on the southwest, i.e., Panaitan Island and Pandeglang Regency. Tsunami simulations show that the tsunami reached: Panaitan Island and Pandeglang Regency at 58-60 minutes, Kota Agung (Lampung) at 42 minutes, and Ciwandan (Banten) at 46 minutes after the landslide with a tsunami height of 5.01m, 0.9 m, and 0.7 m respectively, with a maximum tsunami wave height of 18.6 m on Panaitan Island. Furthermore, it is known that five areas in Pandeglang Regency fall into the high tsunami hazard category with a tsunami height of more than 3 m, namely Panaitan Island, Ujungkulon District, Sumur, Panimbang, and Labuhan. By accurately knowing the distribution of tsunami height and estimating the time of arrival of the tsunami in the affected area and the inundation area, an early warning system and mitigation efforts can be planned, such as spatial planning and other actions. Key words: Anak Krakatau tsunami, numerical simulation, flank collapse, underwater landslide, Pandeglang Regency
Investigation of environmental factors impact on fish catch in East Java Waters Nurfitri, Suliskania; Putri, Ajeng Tiara; Putri, Mutiara Rachmat
Depik Vol 14, No 2 (2025): JUNE 2025
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study explores the relationship between environmental parameters and fish catch rates for scad, skipjack, and yellowfin tuna in East Java waters from 2019 to 2022. The environmental factors considered include sea surface temperature (SST), chlorophyll-a concentration, and Ekman pumping velocity (EPV) as indicators of upwelling. SST and chlorophyll-a data were obtained from Aqua MODIS satellite observations, while wind and seawater density data for EPV calculations were sourced from ERA5 and SMOS-OI, respectively. Fish catch data were provided by the Department of Marine and Fisheries of East Java. Cross-correlation analysis revealed a negative correlation between SST and fish catch, with time lags of 2, 4, and 5 months for scad, skipjack, and yellowfin tuna, respectively. Chlorophyll-a concentration showed a positive correlation with fish catch, particularly for scad (0.6 with a one-month lag) and for skipjack and yellowfin tuna (0.62 with a four-month lag). Additionally, EPV exhibited a positive correlation (0.3 to 0.6) with fish catch. These findings emphasize the significance of SST and chlorophyll-a as indicators of fish population dynamics and offer valuable insights for fisheries management.Keywords:East Java WatersSea surface temperatureChlorophyll-aFishcatchUpwelling