Heavy Metal Speciation in Sediments in Saguling Lake West Java Indonesia

Wardhani, Eka

doi:10.21660/2017.34.2791

Cited by 11 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to the Ministry of Environment and Forestry of Indonesia, of 619 monitoring stations across the country, 56% of them were classified as being heavily polluted [ 2 ]. Heavily polluted surface water is strongly associated with overburdened water treatment plants and decreased treatment efficiency, along with reduced drinking water quality, and increases in public health risks [ 3 ]. As surface water quality is dramatically affected by the change in land use and land cover (LULC), the deterioration of water quality in Indonesia is worsened by the rapid growth of the human population and the urban-rural expansions of built-up areas [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

Pratama

Immanuel

Marthanty

2020

The Scientific World Journal

View full text Add to dashboard Cite

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.

show abstract

Section: Introductionmentioning

confidence: 99%

A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

Pratama

Immanuel

Marthanty

2020

The Scientific World Journal

View full text Add to dashboard Cite

show abstract

“…Hasil penelitian lainnya menunjukan bahwa diperlukan pengelolaan air secara terpadu mulai dari hulu sampai hilir untuk mencapai tujuan perbaikan Sungai Citarum. Pengelolaan dilakukan dengan melibatkan semua pemangku kepentingan yang memiliki kewenangan terhadap semua sektor yang terdapat di DAS Citarum [11], [12], [13].…”

Section: Pendahuluanunclassified

Studi Mutu Air Sungai Cibaligo Kota Cimahi Provinsi Jawa Barat dengan Metode Indeks Pencemar

Anggraini¹,

Wardhani²

2021

JSE

Self Cite

View full text Add to dashboard Cite

Cibaligo River is the polluted rivers in Cimahi City. The river that flows through three districts and 6 sub-districts in Cimahi City catchment area of 666.19 hectares of watershed with a total length of 7 km. The land use of the district through which this river passes is domestic, trade, agriculture, livestock and industry whose waste will end into the Cibaligo River. The impact of these activities causes the river to be polluted and a decrease in water quality. The purpose of this study was to determine the status of water quality from upstream to downstream which represents the transition, dry, and rainy seasons. Knowledge of water quality status can be used as basic data for controlling water pollution in rivers. The pollutant index (IP) method used in this study is in accordance with the Decree of the State Minister for the Environment Number 115 of 2003 concerning guidelines for determining water quality status. The results showed that the water quality status of the Cibaligo River from upstream to downstream represented that each season was categorized as heavily polluted with the highest index value being in the rainy season at the downstream point. The main contributor that causes river water to be heavily polluted is domestic wastewater, especially the presence of total coliform and fecal coliform that exceed the established quality standards. Based on the results of the research, efforts to tackle domestic waste are needed to improve the quality of this river water.

show abstract

“…Beratnya pencemaran yang terjadi di Sungai Citarum menyebabkan terjadi akumulasi pencemar diantaranya beberapa logam berat di sedimen Waduk Saguling. Hal tersebut memerlukan penanganan segera mengingat Waduk Saguling berfungsi sebagai sumber air baku, irigasi dan budidaya areal perikanan jaring terapung [8] [9] [10].…”

Section: Pendahuluanunclassified

Perhitungan Beban Pencemaran Air Sungai Cibabat Kota Cimahi Provinsi Jawa Barat

Alfaroby

Wardhani

2021

JSE

Self Cite

View full text Add to dashboard Cite

The lack of domestic wastewater management services in the Cibabat River Basin has resulted in the Cibabat River being a place to collect domestic wastewater. This of course can reduce water quality as well as reduce the function of the river itself. The Cibabat river is known to be a sub-watershed of the Citarum River with a surface area of 1,855 km2. Activities in the Cibabat watershed contribute to the pollution load that causes the water quality of the Cibabat River to decline, which of course has an impact on the decrease in the quality of the river and increase in the polluting load that the river will receive. The research method uses the calculation of the pollutant load based on Permen LH 115/2003. The data used are secondary data from DLH Cimahi City, which conducted a water quality analysis at three points during three different seasons in 2019. One of the steps to overcome and control the pollution that occurs is to determine the actual pollutant load so that it can easily determine the application of effective technology for controlling river water pollution in the Cibabat River at theCimahi City.

show abstract

Heavy Metal Speciation in Sediments in Saguling Lake West Java Indonesia

Cited by 11 publications

References 9 publications

A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

Studi Mutu Air Sungai Cibaligo Kota Cimahi Provinsi Jawa Barat dengan Metode Indeks Pencemar

Perhitungan Beban Pencemaran Air Sungai Cibabat Kota Cimahi Provinsi Jawa Barat

Contact Info

Product

Resources

About