Heavy metals in river and coast sediments of the Jakarta Bay region (Indonesia) — Geogenic versus anthropogenic sources

Синдерн, Свен; Tremöhlen, Martin; Dsikowitzky, Larissa; Gronen, Lars; Schwarzbauer, Jan; Siregar, Tuti Hartati; Ariyani, Farida; Irianto, Hari Eko

doi:10.1016/j.marpolbul.2016.06.003

Cited by 75 publications

(32 citation statements)

References 30 publications

(39 reference statements)

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“…2018). The ocean currents of 0.04-0.08 m/s combined with water from 13 rivers flowing into Jakarta Bay at the volume of 216.84 m 3 /s and the inlet/outlet discharge from electricity power plant with the volume of 224.9 m 3 /s (Setiawan 2016), have caused the coastal waters of Jakarta Bay to become a highly polluted water area with low mobilization (Rinawati 2012;Pranowo and Tim Kajian Reklamasi 2016;Sindern 2016;Siregar et al 2016). This makes the water trapped and resembles an inundated pool.…”

Section: Discussionmentioning

confidence: 99%

“…In a decade, the land cover had reduced from 340,90 ha in 1997 to 232,04 in 2006, equating 31.93% loss (Parawansa 2007). This change is mainly caused by land degradation with human as the main driver as indicated by many studies such as Permanawati et al (2013), Kusuma et al (2014), KLHK and Plarenco (2015), Breckwoldt et al (2016), Ladwig et al (2016), Simon et al (2016), Sindern et al (2016), Siregar et al (2016), Dsikowitzky et al (2018), and Latief et al (2018).…”

Section: Introductionmentioning

confidence: 99%

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The The structure of mangrove communities in response to water quality in Jakarta Bay, Indonesia

et al. 2019

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Abstract. Sari N, Patria MP, Soesilo TEB, Tejakusuma IG. 2019. The structure of mangrove communities in response to water quality in Jakarta Bay, Indonesia. Biodiversitas 20: 1873-1879. The waters of Jakarta Bay, which is a habitat for mangrove vegetation, have been polluted caused by many human activities such as development of housing, industry, tourism and facilities along the coast, and reclamation of man-made islands. The islands reclamation has caused changes in ocean current pattern and has impacts on material mobilization in the waters. The mangroves have experienced degradation as well since long time ago. The purpose of this research was to investigate the responses of mangrove vegetation to the quality of water in disturbed areas in Jakarta Bay to be used as baseline information for mangrove forest management in the area. Analysis of vegetation was used to examine mangrove community structure with the results were then related to the measurements on water quality using simulation modeling. The results show that mangrove forests in Jakarta Bay have an average Important Value Index (IVI) for all levels of life stage 95.7% with relative density of 28.85%, relative frequency of 29.21%, and closure relative of 38.62%. These results indicate that the mangrove forests in Jakarta Bay are under the criteria of damaged or disturbed according to the Minister of Environment Regulation. The mangrove forests were dominated by Avicennia marina, Avicennia lanata, Rhizophora apiculata, Sonneratia caseolaris, and Sonneratia alba. The average of ocean current velocity was 0.04-0.08 m/s. tides were single type with short waves generated by wind. The water discharge from 13 rivers were 205 ± 97 m3/s and the water discharge from power plant 224.9 m3/s. The heavy metal whereas The average pH was 7.75; Dissolved Oxygen 4.68 mg/L; turbidity 5 m; Total Suspended Solid (TSS) 50.95 mg/L; and salinity 6.6 ‰. The result of grain size analysis showed that most sediments obtained was in the form of silt with a mixture of little clay and sand. The responses showed that there was a reinforced pattern for pH, temperatures, rainfall, brightness, sediment, DO, and ocean current, with a trend of exponential growth in two years next of important value index of mangroves in response to water quality in Jakarta Bay. The heavy metals of Pb have concentrations of 65-104 ppm in sediments and 38-60 ppm in the water column; Zn has 150-258 ppm in sediment and 42-140 ppm in water column; Cu has 34-72 ppm in sediment and 13-30 ppm in water column; Ni has 33-39 ppm in sediment and 40-50 ppm in water column; Cd has 5.9-8 ppm in sediment and 8.5-15 ppm in the water column. The heavy metals, TSS, and water river discharge have balance-decay pattern. The amount of river water discharge entering Jakarta Bay, the heavy metals, and the low level of ocean currents cause coastal waters of Jakarta Bay to become muddy puddles that cannot flow properly. These conditions make the mangrove forest habitat becomes polluted and the mangrove vegetation degraded. Therefore, all of these things need to get serious attention so the mangrove forests can be restored and the function of mangroves can return to normal.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The The structure of mangrove communities in response to water quality in Jakarta Bay, Indonesia

et al. 2019

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“…Suspended sediments are the principal factor for heavy metals transport [1][2]. Human activity increased input of heavy metals to water bodies where sediments are deposited [3][4][5][6][7][8]. Amin et al [9] and Zheng et.…”

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confidence: 99%

Heavy Metal Transport in a River-Reservoir System: a Case Study from Central Poland

Sojka¹,

Siepak²,

Jaskuła³

et al. 2018

Pol. J. Environ. Stud.

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The development of dams alters the structure and function of river ecosystems. Dam reservoirs have an impact on flow regime, sediment transport, and water quality. Damming a river decreases water velocity, which leads to an increase in suspended sediments deposition. Reservoirs often are described as water treatment plants because they trap water contaminants and suspended sediments. Suspended sediments are the principal factor for heavy metals transport [1][2]. Human activity increased input of heavy metals to water bodies where sediments are deposited [3][4][5][6][7][8]. Amin et al. [9] and Zheng et. al. [10] reported that more than 90% of the heavy metal load in the water bodies has been associated with suspended particulate matter and sediments. The spatial and seasonal variations of heavy metal loads are controlled by suspended sediment concentrations as well as water pH, which controls the absorbance of heavy metals [11].The spatial distribution of sediments in a reservoir is not uniform [12]. Toward the dam, sediments are usually more fine-grained and lithologically uniform [13]. The heavy metals concentrations generally increased with the decrease of particle size and increase of organic matter. The concentration of heavy metals in Pol. AbstractThe aim of this study was to analyze the heavy metals transport in a river-reservoir system. Sediment samples from 25 locations (9 from the Powa River and 16 from the Stare Miasto Reservoir) were analyzed for trace metals contents (Cr, Ni, Cu, Zn, Cd, and Pb). The relationships between heavy metal concentrations and bottom sediment physical properties were determined with the use of the multivariate statistical techniques cluster analysis (CA), principal component analysis (PCA), and canonical correspondence analysis (CCA). The results showed that concentrations of heavy metals in the sediments of the reservoir were higher than those in the bottom sediments of the river. Concentrations of heavy metals in bottom sediments in the river above the reservoir were characterized by lower spatial variability. Decisive influence on heavy metal concentrations of bottom sediments had silt, clay, and total organic matter content.

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“…One of the contamination sources is the river which discharges into the coastal and catchment area. As reported by Sindern et al (2016), rivers which flow away to Jakarta Bay have contaminated the aquatic environment because their sediments act as a first important sink to anthropogenic (domestic and industrial wastes) input of heavy metals. Therefore the river sediments is presumably as geogenic and anthropogenic sources of heavy metals (Zn, Pb, Cu, Ni and locally Cr) in the Jakarta Bay (Sindern et al, 2016;Siregar et al, 2016).…”

Section: Fish Species Concentration [Mg/kg (Dry Weight) ± Sd]mentioning

confidence: 99%

Human Health Risk Assessment of Heavy Metals Bioaccumulation In Fish and Mussels from Jakarta Bay

Putri

Barokah

Andarwulan

2017

Squalen Bull. Marine Fisheries Postharvest Biotech.

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Aquatic environment of Jakarta Bay have already been highlighted due to its heavy metals contamination which may lead into food safety concern of fisheries products derived from this region. This research aimed to investigate bioaccumulation level of heavy metals (Pb, Cd, and As) in fish and mussels from Jakarta Bay, as a human risk assessment of seafood consumption. Samples of mussels and fish were taken from Penjaringan, Tarumanegara, Cilincing, and Tanjung Pasir district. Bioaccumulation of heavy metals was analyzed by Inductively Coupled Plasma -Mass Spectrometry technique. Results of the study revealed that metals bioaccumulation in fisheries products were varied, with As (Arsenic) as the highest metal contaminant (0.68 mg/kg, dry weight). Furthermore, estimated daily intake (EDI), target hazard quotient (THQ), total target hazard quotient (TTHQ), and safety limits prescribed by various agencies, showed that consumption of fisheries products from Jakarta Bay considered as relatively safe for human health in total of food ingestion rate of fish 57.34 g/day. These results are expected to serve as a baseline to construct preventive and palliative policies for food safety of fisheries products from Jakarta Bay.

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Heavy metals in river and coast sediments of the Jakarta Bay region (Indonesia) — Geogenic versus anthropogenic sources

Cited by 75 publications

References 30 publications

The The structure of mangrove communities in response to water quality in Jakarta Bay, Indonesia

The The structure of mangrove communities in response to water quality in Jakarta Bay, Indonesia

Heavy Metal Transport in a River-Reservoir System: a Case Study from Central Poland

Human Health Risk Assessment of Heavy Metals Bioaccumulation In Fish and Mussels from Jakarta Bay

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