Mapping of Sediment on the Waters Around Panjang Island, Banten Bay, Indonesia

This study was conducted to map the surface sediment conditions in the waters around Panjang Island, Banten Bay. The survey method was conducted in February 2015 by taking sediment samples using a grab sampler at 15 stations. Sediment analysis was conducted to determine the grain size using the granulometry method which was then processed using the KUMMOD-SEL software to obtain the composition and texture of the sediment. The results of processing sediment samples at each station obtained that the grain size of sediments in the waters around Panjang Island ranged from -0.7 to 2.6 in the phi (φ) scale. Sediment composition consists of sand and gravel, with sand dominance of 89.1 %. Sediment textural classification consists of only 4 categories i.e. very coarse sand, coarse sand, medium sand, and fine sand. In general, the pattern of sediment distribution follows the pattern of water depth, where fine sand occupies deeper areas. Meanwhile, medium sand dominates surface sediment distribution in the study area

Exposure to benzene at work and the risk of leukemia: a systematic review and meta-analysis

Background A substantial number of epidemiologic studies have provided estimates of the relation between exposure to benzene at work and the risk of leukemia, but the results have been heterogeneous. To bridge this gap in knowledge, we synthesized the existing epidemiologic evidence on the relation between occupational exposure to benzene and the risk of leukemia, including all types combined and the four main subgroups acute myeloid leukemia (AML), acute lymphocytic leukemia (ALL), chronic lymphocytic leukemia (CLL), and chronic myeloid leukemia (CML). Methods A systematic literature review was carried out using two databases 'Medline' and 'Embase' from 1950 through to July 2009. We selected articles which provided information that can be used to estimate the relation between benzene exposure and cancer risk (effect size). Results In total 15 studies were identified in the search, providing 16 effect estimates for the main analysis. The summary effect size for any leukemia from the fixed-effects model was 1.40 (95% CI, 1.23-1.57), but the study-specific estimates were strongly heterogeneous (I2 = 56.5%, Q stat = 34.47, p = 0.003). The random-effects model yielded a summary- effect size estimate of 1.72 (95% CI, 1.37-2.17). Effect estimates from 9 studies were based on cumulative exposures. In these studies the risk of leukemia increased with a dose-response pattern with a summary-effect estimate of 1.64 (95% CI, 1.13-2.39) for low (< 40 ppm-years), 1.90 (95% CI, 1.26-2.89) for medium (40-99.9 ppm-years), and 2.62 (95% CI, 1.57-4.39) for high exposure category (> 100 ppm-years). In a meta-regression, the trend was statistically significant (P = 0.015). Use of cumulative exposure eliminated heterogeneity. The risk of AML also increased from low (1.94, 95% CI, 0.95-3.95), medium (2.32, 95% CI, 0.91-5.94) to high exposure category (3.20, 95% CI, 1.09-9.45), but the trend was not statistically significant. Conclusions Our study provides consistent evidence that exposure to benzene at work increases the risk of leukemia with a dose-response pattern. There was some evidence of an increased risk of AML and CLL. The meta-analysis indicated a lack of association between benzene exposure and the risk of CML

Dynamics of absorption properties of CDOM and its composition in Likas estuary, North Borneo, Malaysia

This is the final version. Available from Elsevier via the DOI in this record. Chromophoric Dissolved Organic Matter (CDOM) is a vital water constituent in aquatic ecosystems that contributes to water colour, affects light penetration, and impacts primary production. This study aims to determine the spatial and monsoonal variability of CDOM absorption properties in the Likas estuary, characterise the source of CDOM, and investigate the correlations between CDOM absorption properties and salinity. Likas estuary is a small estuary located in Kota Kinabalu city on the west coast of Sabah, facing the South China Sea. A mangrove ecosystem surrounds it with manufactured structures such as residential areas and public facilities. Surface water samples were collected at 19 stations: upstream of rivers to the river mouth and coastal area during spring tides every month, from June 2018 to July 2019, for 14-months. The distribution of aCDOM(440) in the study area is predictable as a signature in a coastal area with a decreasing gradient from the upstream towards coastal water (0.29 ± 0.19 m−1 to 1.05 ± 0.39 m−1). There are increasing spatial patterns of spectral slopes S275-295 and SR. However, S350-400 and S300-600 declined spatial gradients from the upstream to coastal water. Thus, S300-600 indicates a linear relationship between aCDOM(440), which unconventional results in coastal water. We suspect this is due to a small coverage of the study site with a distance of 0.5 m intervals of each station. This could be why the S300-600 had constant values throughout the study area (with no statistical difference between stations). In addition, S300-600 was merely varied in the stations located at the river mouth and coastal water. Based on the spectral slope ratio (SR), most of the stations located in the Darau, Inanam, and Bangka-Bangka rivers had SR values less than 1. Hence, CDOM in these stations is a terrestrial-dominated source. Therefore, from our observations during the study period, monsoonal variation could alter the source of CDOM in the study area.Universiti Malaysia SabahUniversiti Malaysia SabahMinistry of Higher Education of Malaysi

Pertukaran massa air di Laut Jawa terhadap periodisitas monsun dan Arlindo pada tahun 2015

The Java Sea with a surface area about 467.000 km2, is located in the South East Sunda Shelf with the average of depth is 40 meters, affected by several phenomena, whether physical or meteorological. This research aims to analyze the characteristics of water masses in the Java Sea and its relationship with the periodicity of the monsoon and Indonesian Throughflow Water (ITF) phenomenon. Then analyze the exchange of water masses in the Java Sea. The data used are temperature and salinity to identify the characteristics of the water masses. Ocean currents data to identify ITF patterns and winds data to identify the monsoon patterns. The data used in 2015 from the Infrastructure Development of Space Oceanography (INDESO) sites with a resolution of 1/12°. The method used is a descriptive analysis of spatially and temporally. The results show that averaging seasonal found that southeast monsoon period salinity is higher (31-34 psu) than northwest monsoon period (29.5-33 psu), and southeast monsoon period temperature is lower (27-30.5°C) than northwest monsoon period (28.5-30.5°C). ITF phenomenon occurs in May through September and reaches its peak in June, July, and August. ITF strengthened in southeast monsoon and weakened in the northwest monsoon. ITF and monsoon have similar impacts on salinity and temperature in the Java Sea. The water masses in the Java Sea comes from the South China Sea and Makassar Strait. In the northwest monsoon, Java Sea filled by water masses of the South China Sea, while in the southeast monsoon phenomenon which coincides with ITF phenomenon, Java Sea water masses is filled by water masses from Makassar Strait. In the transition monsoon I and II, the Java Sea filled by the South China Sea and the Makassar Strait water masses. Laut Jawa dengan luas permukaan sekitar 467.000 km2, terletak dibagian tenggara paparan Sunda dengan kedalaman rata-rata adalah 40 meter dipengaruhi oleh beberapa fenomena, baik fisikal maupun meteorologikal. Penelitian ini bertujuan untuk mendapatkan informasi mengenai karakteristik massa air di Laut Jawa dan hubungannya dengan periodisitas monsun serta fenomena arlindo dan menganalisis pertukaran massa air di Laut Jawa. Data yang digunakan adalah suhu dan salinitas untuk mengidentifikasi karakteristik massa air. Arus untuk mengidentifikasi pola arlindo dan angin untuk mengidentifikasi pola monsun. Data yang digunakan tahun 2012 dari situs infrastructure development of space oceanography (INDESO) dengan resolusi 1/12°. Metode yang digunakan adalah deskriptif dengan pendekatan analisis secara spasial dan temporal. Berdasarkan hasil perata-rataan musiman didapatkan bahwa salinitas saat monsun timur lebih tinggi (31-34 psu) daripada saat monsun barat (29,5-33 psu), dan suhu saat monsun timur lebih rendah (27-30,5°C) daripada saat monsun barat (28,5-30,5°C). Fenomena arlindo terjadi pada bulan Mei sampai September dan mencapai puncaknya pada bulan Juni, Juli, dan Agustus. Arlindo menguat pada monsun timur dan melemah pada monsun barat. Monsun dan arlindo memiliki pengaruh yang sama terhadap salinitas dan suhu di Laut Jawa. Massa air di Laut Jawa berasal dari Laut Cina Selatan dan Selat Makassar. Pada monsun barat, Laut Jawa diisi oleh massa air Laut Cina Selatan, sedangkan pada monsun timur yang bertepatan dengan fenomena arlindo, massa air Laut Jawa diisi oleh massa air Selat Makassar. Pada monsun peralihan I dan II, Laut Jawa diisi oleh massa air Laut Cina Selatan dan juga Selat Makassar.

THE MODEL OF MACRO DEBRIS TRANSPORT BEFORE RECLAMATION AND IN EXISTING CONDITION IN JAKARTA BAY

Jakarta Bay as one of an area with the densest population in Indonesia became one of the highest contamination level waters in the world includes pollution of debris. Reclamation activities in Jakarta Bay will change the water conditions, and will also affect the distribution of debris at sea. Therefore, this study conducted is to determine the movement of the marine macro debris before and on the condition of the existing reclamation island in the Bay of Jakarta. The method used is simulated by the hydrodynamic model and particle trajectory models using MIKE software. Data needed for the hydrodynamic model, namely wind, tides, bathymetry, and shoreline, while for the trajectory of the particles using a data type of debris, marine macro debris weight, and debris flux. The analysis was performed for hydrodynamic model simulation results and comparison of particle trajectory models. Hydrodynamics simulations indicate if a reclamation island formation does not change significantly in the offshore area, but a simple change in the surface current pattern of the reclamation area, it also causes a decrease in the flow velocity of ± 0.002 to 0.02 m/s at some point. Macro debris particle trajectory simulation shows if after reclamation, macro debris tends to accumulate in the eastern Jakarta Bay in the rainy season (January), as well as in the western and eastern regions during the dry season (July)