Water quality analysis of Saluran Tarum Barat, West Java, based on National Sanitation Foundation-Water Quality Index (NSF-WQI)

AbstractPelabuhan Tanjung Perak Surabaya merupakan pelabuhan terbesar di kawasan Indonesia bagian timur. PT PELINDO III melakukan pengembangan Arus Pelayaran Barat Surabaya (APBS). Akibatnya aktivitas sekitar APBS meningkat yang berpotensi menimbulkan pencemaran di perairan. Tujuan penelitian ini untuk menentukan kualitas air berdasarkan baku mutu biota laut dan indek kualitas air di sekitar APBS. Indeks kualitas air yang digunakan adalah Indeks Pencemaran (IP) dan National Sanitation Federation Water Quality Index (NSF WQI). Hasil penelitian menunjukkan bahwa perairan di sekitar APBS dan lokasi pembuangan material keruk mengalami penurunan kualitas air laut dengan beberapa parameter tidak memenuhi baku mutu yaitu TSS 30 mg/l (ST 1), kekeruhan 19 NTU (ST 1), nitrat (0,7 mg/l di ST1dan 0,5 mg/l di ST2) dan di semua titik sampling diperoleh kadar DO (3 mg/l), fosfat 0,02 – 0,6 mg/L dan kecerahan (0,55 - 1.70 m). Indeks kualitas air di sekitar APBS dan lokasi pembuangan material keruk dengan metode IP dihasilkan tercemar sedang (ST 1, S2 dan ST 4 ) dan tercemar ringan (ST 3, ST 5 dan ST 6). Nilai kualitas perairan berdasarkan NSF WQI diperoleh dua kategori yaitu baik ( ST 3, ST 4, ST 5) dan sedang (ST 1, ST 2 dan ST 6).Keywords: aktivitas sekitar APBS, kualitas air, indeks pencemaran, NSF WQI AbstrakTanjung Perak Surabaya is the biggest harbor in the Eastern part of Indonesia. PT Pelindo III implemented the development of the eastern fairway Surabaya (APBS). Consequently, the activities arround them increased. It had potential to cause water polllution. This study is aim to determine the water quality based on standart quality of marine biota and the index of water quality arround APBS. Index of water quality are pollution index (IP) and National Sanitation Federation Water Quality Index (NSF WQI). The result of the study showed that the water harbor arround APBS and the location of dreging material were decreasing in the term of the quaity of the saltwater . The quality of saltwater did not reach the standart quality, which was TSS 30 mg/l (ST 1), the turbidity of 19 NTU (ST 1), nitrate (0.7 mg / l in ST1dan 0.5 mg / l in ST2) and at all sampling points obtained DO concentration (3 mg / l), phosphate from 0.02 to 0.6 mg / L and brightness (from 0.55 to 1.70 m) .Index of water quality arround APBS and dregging material disposal site that was used IP method was medium polluted (ST 1, S2 and ST 4) and lightly polluted (ST 3, ST 5 and ST 6). Values of water quality by NSF WQI obtained two categories: good (ST 3, ST 4, ST 5) and medium (ST 1, ST 2 and ST 6).Kata kunci: the activities arround APBS, water qualiy, pollution index, NSF WQI

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Assessment of Cau River water quality assessment using a combination of water quality and pollution indices

Journal of Water Supply Research and Technology—AQUA ◽

10.2166/aqua.2020.122 ◽

2020 ◽

Vol 69 (2) ◽

pp. 160-172 ◽

Cited By ~ 5

Author(s):

Cao Truong Son ◽

Nguyen Thị Huong Giang ◽

Trieu Phuong Thao ◽

Nguyen Hai Nui ◽

Nguyen Thanh Lam ◽

...

Keyword(s):

Water Pollution ◽

Water Quality ◽

River Water ◽

Water Quality Index ◽

Quality Index ◽

Water Status ◽

Pollution Index ◽

River Water Quality ◽

Quality Analysis ◽

Pollution Indices

Abstract This research aims at using a combined water quality index (WQI) and pollution index (PI) to assess and characterize river water quality of Cau River which is one of the longest rivers in the north of Vietnam. Five different water quality and water pollution indices were used including the Water Quality Index (WQI), Comprehensive Pollution Index (CPI), Organic Pollution Index (OPI), Eutrophication Index (EI), and Trace Metal Pollution Index (TPI). The combined water pollution indices show more serious pollution towards the river downstream. In particular, CPI and OPI reveal a high risk of eutrophication. Cluster analysis was applied to classify water monitoring points into different quality groups in order to provide a better understanding of the water status in the river. This study indicates that a combined water quality analysis could be an option for decision making water use purposes while its single index shows the current situation of water quality.

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River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed, Brazil

Ecological Indicators ◽

10.1016/j.ecolind.2009.02.006 ◽

2009 ◽

Vol 9 (6) ◽

pp. 1188-1197 ◽

Cited By ~ 119

Author(s):

André Lermontov ◽

Lídia Yokoyama ◽

Mihail Lermontov ◽

Maria Augusta Soares Machado

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Quality Analysis ◽

River Watershed ◽

River Quality

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The impact of Land use Change on Water Pollution Index of Kali Madiun Sub-watershed

Forum Geografi ◽

10.23917/forgeo.v31i1.2686 ◽

2017 ◽

Vol 31 (1) ◽

pp. 128-137

Author(s):

Pranatasari Dyah Susanti ◽

Arina Miardini

Keyword(s):

Water Quality ◽

Land Use ◽

Land Use Change ◽

Water Quality Index ◽

Quality Index ◽

Pollution Index ◽

Industrial Wastes ◽

Quality Analysis ◽

Water Quality Parameter ◽

The Impact

Land use change is one of the effects of population growth and increased human activities. Land use change that overlooked the rule of ecosystem sustainability has a propensity to adversely affect the environment, including the decline of water quality. Kali Madiun is a sub-watershed of Bengawan Solo Watershed that allegedly endured the impacts of land use change. This study aimed to investigate the impacts of land use change on the water quality index of Kali Madiun Sub-watershed. Land use change analysis was done by overlay analysis of spatial data including the maps of land use in 2010 and 2015. Samples were the surface water in the upper, middle and lower part of Kali Madiun Sub-Watershed. Water quality analysis was carried out by comparing the results of water quality parameter assessment based on Government Regulation No. 82 of 2001, while water quality index was figured out by an assessment based on the Decree of the Minister of Environment No. 115 of 2003. The results indicated that during the five years observation, there were land use changes in the upper, middle and lower part of Kali Madiun Sub-watershed. Several parameters increased in 2010 to 2015, namely: TDS, BOD, COD, nitrate, detergents, oils and greases. Pollution index shifted from slightly polluted in 2010 into moderately polluted in 2015. We propose a strategy to solve these problems by the involvement of stakeholders and the participation of local community in managing both domestic and industrial wastes. Also, it should be supported by palpable regulations related to land conversion. Furthermore, it is expected that the effort will reduce the potential of pollution and improve the water quality.

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Pengelolaan Sumber Daya Air Berkelanjutan di Perkotaan: Kajian Status Mutu Air Kali Krukut Depok, Jawa Barat menggunakan Indeks Pencemar Water Quality Analysis of Kali Krukut, Depok, West Java using Pollution Index Methods

Seminar Nasional Kota Berkelanjutan ◽

10.25105/psnkb.v1i1.2885 ◽

2018 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Yuni Sesempuli ◽

Bambang Iswanto ◽

Diana Hendrawan

Keyword(s):

Water Quality ◽

Pollution Index ◽

Quality Analysis ◽

Water Quality Analysis ◽

West Java ◽

Index Methods ◽

Sampling Parameter

Penelitian ini bertujuan untuk mengetahui sumber pencemar, kualitas air, status mutu dan pengelolaan Kali Krukut di Depok, Jawa Barat. Kali Krukut yang menjadi area kajian sepanjang 9 km terbagi menjadi 7 titik sampling. Parameter yang dikaji terdiri dari TSS, TDS, DO, BOD, COD, PO43-, N total, deterjen (MBAS), minyak dan lemak. Analisis kualitas air dibandingkan dengan Baku Mutu Peraturan Pemerintah Pemerintah Republik Indonesia No.82 Tahun 2001 kelas I. Status mutu air dihitung dengan metode Indeks Pencemar (IP). Sumber pencemar dominan di Kali Krukut berasal dari permukiman dengan karakteristik pencema rorganik. BOD berkisar antara 10,81 – 91,25 mg/l sedangkan baku mutu BOD sebesar 2 mg/l, COD berkisar antara 17.28-124 mg/l sedangkan baku mutu COD sebesar 10 mg/l, N total berkisar antara 1,99 – 2,49 mg/lsedangkan baku mutu N total adalah nihil dan fosfat berkisar antara 0,21 - 6,03 mg/l sedangkan baku mutu fosfat adalah 0,2 mg/l. Status Mutu Air dengan nilai Indeks Pencemar (IP) 1,36 (tercemar ringan) – 7,08 (tercemar sedang). Perencanaan pengelolaan dengan meniadakan tumpukan sampah liar, penghijauan bantaran sungai dan penerapan Instalasi Pengolahan Air Limbah (IPAL) komunal di permukiman.Kata Kunci: berkelanjutan, indeks pencemar, kualitas air, status mutu, sumber daya air

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Determination of the water quality index in two rural properties in the Municipality of Guatambu-SC/ Determinação do índice de qualidade da água em duas propriedades rurais no Município de Guatambu-SC

Brazilian Journal of Development ◽

10.34117/bjdv7n4-079 ◽

2021 ◽

Vol 7 (4) ◽

pp. 34480-34491

Author(s):

Matheus Cavali ◽

Ana Paula Fagundes ◽

Deise Regina Lazzarotto

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Oxygen Demand ◽

Surface Water Quality ◽

Quality Analysis ◽

Human Consumption ◽

Quality Of Water ◽

Protection Area ◽

Two Parameters

Knowing the quality of water resources is fundamental to guarantee its different functions in the environment. In this sense, this study highlighted the relationship between land use and occupation with water quality, since the objective was to assess water quality in two rural properties in the municipality of Guatambu in the state of Santa Catarina, Brazil. Five points for analysis and their geographic coordinates were demarcated in each property using the Global Positioning System (GPS) and inserted into the Quantum GIS (QGIS) software for spatial assessment. For the water quality analysis of each point, the following parameters were determined: pH, electrical conductivity, dissolved oxygen, color, turbidity, alkalinity, chlorides and biochemical oxygen demand. According to these results, the Bascarán surface water quality index (SWQIB) was estimated. As demonstrated by the results, both properties presented an SWQIB ranging from “medium” to “good”. However, when comparing the points intended for human consumption with the Brazilian Decree 2,914 of December 2011, it was found that the color and turbidity parameters were in disagreement in some cases. However, these two parameters can easily vary. In addition, it was noted that points classified with SWQIB "good" have a better protection area when compared to points classified with SWQIB "medium".

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Water Quality Analysis in Wetlands Freshwater: Common Floodplain of Jijia-Prut Rivers

Revista de Chimie ◽

10.37358/rc.17.3.5500 ◽

2017 ◽

Vol 68 (3) ◽

pp. 553-561 ◽

Cited By ~ 1

Author(s):

Gheorghe Romanescu ◽

Madalina Pascal ◽

Alin Mihu Pintilie ◽

Cristian Constantin Stoleriu ◽

Ion Sandu ◽

...

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Quality Analysis ◽

Anthropogenic Pressure ◽

Catchment Basin ◽

North West ◽

The North ◽

Physico Chemical ◽

Freshwater Habitats

Water resources in the Jijia catchment basin are limited and often polluted. The catchment basin of Jijia is situated in northeastern Romania and it crosses the Moldavian Plain on the north-west-south-east direction. The purpose of the present study is to analyze 26 physico-chemical parameters providing the annual and multiannual water quality index. Two water-sampling points were selected: Jijia-Victoria [S.1] and Jijia-Opriseni [S.2]. The high values of nitrates are caused by the use of nitrogen-based chemical fertilizers and of manure. Contamination with nitrites (N-NO2-) and nitrates (N-NO3-) of wetlands and deepwater habitats in the floodplain of Jijia is still high because of agricultural and zootechnical activities. The phosphorus within freshwater habitats is a consequence of anthropogenic pressure: improper storage of animal waste and/or use of phosphates-based fertilizers. Global water quality index (WQi) shows that both monitoring stations are included in the Medium high class.

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A Fuzzy Water Quality Index for Watershed Quality Analysis and Management

Environmental Management in Practice ◽

10.5772/20316 ◽

2011 ◽

Cited By ~ 5

Author(s):

Andre Lermontov ◽

Lidia Yokoyama ◽

Mihail Lermontov ◽

Maria Augusta Soares Machado

Keyword(s):

Water Quality ◽

Water Quality Index ◽

Quality Index ◽

Quality Analysis

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