scholarly journals Oil and Grease as a Water Quality Index Parameter for the Conservation of Marine Biota

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 856 ◽  
Author(s):  
Mónica Eljaiek-Urzola ◽  
Nora Romero-Sierra ◽  
Laura Segrera-Cabarcas ◽  
David Valdelamar-Martínez ◽  
Édgar Quiñones-Bolaños
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Physicochemical Characteristics ◽  
Marine Biota ◽  
Oil And Grease ◽  
Tropical Areas ◽  
The City ◽  
Quality Indexes

Water quality indexes are a tool used to evaluate the physicochemical characteristics of a water body according to its use. The present study proposes the inclusion of oil and grease (OG) as a new water quality index (ICAMPFF-GA) parameter for the preservation of marine biota in tropical areas, since it is a typical pollutant found and measured in water bodies, causing damage to the aquatic environment. The normalized curve for OG was defined based on the percentage of surviving microorganism under a lethal concentration exposure of OG. The ICAMPFF-GA suitability was evaluated by its application to analyze marine water quality in the area of the sea outfall in the city of Cartagena, Colombia and comparing the trends of the outfall flow and the rainfall for 2017. Physical chemical data analyzed for the year 2017 shows that OG varies from 0.0 to 3.8 mg/L. The results show that the water quality index increases when rainfall and flow values increase for the rainy season. The ICAMPFF-GA can be a tool to evaluate the water quality of marine waters affected by the discharge of waters with oil and grease.

scholarly journals Analisis Kualitas Air Laut di Area Alur Pelayaran Barat Surabaya di Selat Madura (Quality Analysis of the Saltwater in West Surabaya Fairway in Madura Strait)

2016 ◽  
Vol 1 (01) ◽  
pp. 42
Author(s):  
Ririn Endah Badriani
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Pollution Index ◽  
Quality Analysis ◽  
Disposal Site ◽  
Marine Biota ◽  
Sampling Points ◽  
Do Concentration

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

scholarly journals Assessment of Water Quality of Okomu Wetland Using Water Quality Index

2020 ◽  
Vol 4 (2) ◽  
pp. 450-457
Author(s):  
S. I. Ehiorobo ◽  
A. E. Ogbeibu
Keyword(s):  
Water Quality ◽  
Water Body ◽  
Water Quality Index ◽  
Quality Index ◽  
Anthropogenic Activities ◽  
Physicochemical Characteristics ◽  
Poor Quality ◽  
Quality Data ◽  
Water Quality Data

The water quality of the Okomu Wetland was evaluated using the Water Quality Index (WQI) technique which provides a number that expresses overall water quality of a water body or water sample at a particular time. Sampling of physicochemical parameters spanned two years covering the wet and dry seasons and the water quality data were obtained from 10 sampling locations; Ponds 36, 52, 54, 61, 64, 90, 94, Arhakhuan Stream, Okomu River (Agekpukpu) and Okomu River (Iron bridge) all within the Okomu National Park. Parameters such as Total Dissolved Solids (TDS), Turbidity, pH, Electrical conductivity (EC), Chlorine (Cl), Nitrate (NO3), Sulphate (SO4), Sodium (Na), Magnesium (Mg), (Iron) Fe, Chromium (Cr), Zinc (Zn), Copper (Cu), Manganese (Mn), Lead (Pb), and Nikel (Ni) were used to compute WQI and the values obtained for the wetland ranged between 34.36 and 167.28. The Index shows that pond 36, 52 and 54 are unfit for drinking with values between 103.86 and 167.28; ponds 61 and 64 are of the very poor quality category with WQI values of 95.19 and 92.44 respectively, Pond 90, pond 94, Arhakhuan Stream and Okomu River (Agekpukpu) are of poor quality and WQI values between and 53.58 and 73.15. Whereas, the Okomu River (Iron bridge) is within the good water quality (34.36) category. The Okomu River by Iron bridge is of good quality rating while other sampled points were of poor, very poor or unfit for drinking though these water bodies are mostly free from anthropogenic activities because of the conservative status of the study area. A major source of pollution within the wetland is surface runoff. The water quality of the wetland may not be suitable for man’s consumption especially pond water which are majorly impacted by runoff, yet very important for the survival and sustenance of the forest animals and plants. The water quality index (WQI) interprets physicochemical characteristics of water by providing a value which expresses the overall water quality and thus, reveals possible pollution problems of a water body. It turns complex water quality data into information that is easily understandable and usable by scientists, researchers and the general public.

scholarly journals Water quality index using fuzzy logic Utcubamba River, Peru

2020 ◽  
Vol 37 (1) ◽  
pp. 6-18
Author(s):  
Lenin Quiñones-Huatangari ◽  
Luis Ochoa ◽  
Manuel Emilio Milla-Pino ◽  
José Federico Bazán ◽  
Oscar Andrés Gamarra ◽  
...  
Keyword(s):  
Water Management ◽  
Water Quality ◽  
Fuzzy Logic ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Research ◽  
The World ◽  
Quality Indexes ◽  
Living Being

Water is a fundamental nutrient in the life of any living being. Therefore, it is necessary to estimate its quality, because it is an issue of increasing concern countries around the world for reasons such as the health of the population, regional, national and international economic development, and the environmental quality of the ecosystems. One tool that has been used to know the state of the water is the water quality indexes (WQI). The objective of this research was to develop a WQI based on fuzzy logic, which allows for the estimation of water quality in the Utcubamba River. The methodology used was proposed by Icaga in 2007. To evaluate the proposed WQI called "Diffuse Water Quality Index" (DWQI), sixteen points from the sampling conducted by the Research Institute for Sustainable Development during October 2014 on the Utcubamba River and its tributaries were used. To validate the index, it was necessary to estimate the correlation coefficient R2 between the results obtained and those of the NSF WQI wáter quality index reported by the Water Research Center. This new index presented results and reasonable correlation, R2 = 0.81. It is concluded that DWQI can be used as a tool for decision making in the water management of the Utcubamba River.

scholarly journals KUALITAS AIR SUNGAI SAGO KECAMATAN SENAPELAN KOTA PEKANBARU TAHUN 2016

2020 ◽  
Vol 8 (2) ◽  
pp. 138-147
Author(s):  
Jufenti Ade Fitri
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Design Research ◽  
River Flow ◽  
Flow Area ◽  
Common Purpose ◽  
Residential Market ◽  
The City

River sago that is a tributary siak which has received pressures environment a result of of land use and activities people of residential , market , office , the hospital and industry .Pressure that environment indicated has caused a decline in the quality of the waters of the sago. A common purpose research is to know the quality of the waters of the sago kecamatan senapelan the city of pekanbaru 2016 and factors that affects the quality of the waters of the sago kecamatan senapelan the city of pekanbaru. This research is descriptive quantitative with the design research non standard, to know the quality of the waters of the based on an indicator water quality. Samples to be taken from 3 points, station I in the upstream location jl. Cut Nyak Dien gg. Jambu Air, station II in central location jl. Juanda, station III downstream jl. Pelita Pantai The result of this research that is explained that the quality of the waters of the sago in station I in the upstream is category and he medium, with the Water Quality Index in the morning that is 66.09 and afternoon 65.33.Station II in the middle is category and he medium with the Water Quality Index in the morning that is 61.05 and afternoon 56.34. Station III downstream is of medium category medium with the water quality index in the morning that is 65.45 and afternoon 57.88. Conclusion in this research is activity the community a watershed Sago will affect the quality of the waters of the Sago. Advice in this research was significance social expected the formulation of local regulations the city of Pekanbaru about absorption wells. Significance scientific research a kind of to be done sampling repeated based on different time.   Keywords : Water Quality Index (WQI), River, River Flow Area (DAS)

scholarly journals ANALISIS PERUNTUKAN DANAU SIPIN DITINJAU DARI KETERSEDIAAN DAN KUALITAS AIR

2017 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
Guntar Marolop S ◽  
Sutrisno Sutrisno
Keyword(s):  
Water Quality ◽  
Open System ◽  
Lake Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quantity ◽  
Index Method ◽  
Quality Of Water ◽  
The City

The Lake is an ecosystem of wetlands to note preserved. However, since the Lake is an open system that can also be utilized for the certain provisions tailored to support power and capacity of the Lake. One of the supported power and capacity of the Lake is the availability and quality of the water of the Lake. Sipin lakes located in the city of Jambi, have long been exploited by various parties, just that its utilization is not maximal for a variety of activities. To maximize its utility it is necessary to know the power support and power tampungnya. By knowing the power support and power tampungnya then it can be determined the allocation it is used so that will give you maximum results. One of the variables that need to be taken care of in order to use Sipin Lake against correspond to peruntukkannya is about the availability and quality of water. Study on quantity and quality of water of the Lake can be done by way of Sipin analyzed the data using the method of precipitation F.J. Mock. Water quality studies done by using water quality Index method of electronically Stored. F.J. method using Mock data to analyze rainfall from year 2005 until 2015, obtained that debit maximum inlet reach 4,870 m3/sec and the minimum discharge of 2,090 m3/sec.Method Stored i.e. testing kualiats Sipin lake water from year 2014 2016 disimpulkkan s/d that the water quality of Lake Sipin only in accordance with the requirements of the water quality of the IV. From fluctuations in discharge and water quality of the IV, then Lake peruntukaan Sipin can only be utilized to provide water gardening or urban businesses or other businesses that comply with the requirements of the water quality of the IV.Keywords: Lake, water quantity, water quality, allocation, and utilization.

Evaluation of Ground Water Quality For AL Shuwayja area –Wasit Provence Using GIS Technique

2017 ◽  
Vol 1 (2) ◽  
pp. 1-11
Author(s):  
Ali Nasser Hilo
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Ground Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Poor Quality ◽  
Quality Parameters ◽  
Ground Water Quality ◽  
Water Index ◽  
The City

The low level of water in rivers in Iraq leads to poor water quality, on that basis; we need to assess Iraq's water resources for uses of irrigation and drinking water. This study present a model accounts for ground water quality by using a water quality index (WQI) for the region defined between the city of Kut and the city of Badra in Wasit province. this study relies on a system of wells set up along the path through the Badra –Kut  and around it  up to 78 wells. The study showed poor quality of ground water in the region of study and it is unsuitability for irrigation and drinking water, as well as provided a solution to the water accumulated in the Shuwayja to reduce the bad effect on groundwater by using a system of branch and collection canals  then pumping at the effluent  of Al  Shuwayja in seasons of rainy season ..Water quality index calculated depend on the basis of various physic-chemical parameters as PH, Ec , TDS, TSS, Nacl , SO4 ,Na , and  Mg. The resultant and analytical are present with use of Arch GIS program – geostastical analysis for the water index and water quality parameters

scholarly journals Assessment of ground water quality of lahar block, Bhind district in Madhya Pradesh

2015 ◽  
Vol 3 (2) ◽  
pp. 38 ◽  
Author(s):  
Shashi Kant ◽  
Y.V. Singh ◽  
Lokesh Kumar Jat ◽  
R. Meena ◽  
S.N. Singh
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Ground Water ◽  
Irrigation Water ◽  
Water Quality Index ◽  
Quality Index ◽  
Madhya Pradesh ◽  
Irrigation Water Quality ◽  
Irrigation Water Quality Index

<p>In sustainable groundwater study, it is necessary to assess the quality of groundwater in terms of irrigation purposes. The present study attempts to assess the groundwater quality through Irrigation Water Quality Index (IWQI) in hard-rock aquifer system and sustainable water use in Lahar block, Bhind of district, Madhya Pradesh, India. The quality of ground water in major part of the study area is generally good. In order to understand the shallow groundwater quality, the water samples were collected from 40 tube wells irrigation water. The primary physical and chemical parameters like potential Hydrogen (pH), Total Dissolved Solids (TDS), calcium (Ca<sup>2+</sup>), magnesium (Mg<sup>2+</sup>), sodium (Na<sup>+</sup>), potassium (K<sup>+</sup>), bicarbonate (HCO<sub>3</sub><sup>-</sup>), carbonate (CO<sub>3</sub><sup>2-</sup>), chloride (Cl<sup>-</sup>), and nitrate (NO<sub>3</sub><sup>-</sup>) were analyzed for (irrigation water quality index ) IWQI. The secondary parameters of irrigation groundwater quality indices such as Sodium Adsorption Ratio (SAR), Sodium Soluble Percentage (SSP), Residual Sodium Carbonate (RSC), Permeability Index (PI), and Kellies Ratio (KR) were also derived from the primary parameter for irrigation water quality index (IWQI). The IWQI was classified into excellent to unfit condition of groundwater quality based on their Water Quality Index (WQI). The IWQI (82.5%+15.0%) indicate that slightly unsustainable to good quality of ground water. Due to this quality deterioration of shallow aquifer, an immediate attestation requires for sustainable development.</p>

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

scholarly journals The implementation of an aquatic toxicity index as a water quality monitoring tool in the Olifants River (Kruger National Park)

Koedoe ◽  
1999 ◽  
Vol 42 (1) ◽  
Author(s):  
V. Wepener ◽  
J.H.J. Van Vuren ◽  
H.H. Du Preez
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
National Park ◽  
Quality Index ◽  
Aquatic Toxicity ◽  
Temporal Trends ◽  
Kruger National Park ◽  
Toxicity Index ◽  
Olifants River

Large sets of water quality data can leave water quality managers and decision-makers totally overwhelmed. In order to convey the interpretation of the data in a simplified and understandable manner, the water quality results from bi-monthly surveys undertaken at seven different sampling sites in the Letaba, Olifants, and Selati rivers over a two year period (February 1990 to April 1992) were reduced to index values, using a water quality index. The water quality index (Aquatic Toxicity Index or ATI) revealed spatial and temporal trends. The higher index values, recorded for the sampling sites towards the eastern part of the Kruger National Park (KNP), revealed that the water quality was better than the quality measured in the Olifants River on the western bound-ary. The lowest index values were calculated for the Selati River, with index values consistently below 50. Index values indicate that the water quality in the Selati River was unsuitable for supporting normal physiological processes in fish. The water quality of the Selati River had an immediate impact on the water quality of the Olifants River directly below the confluence. Lower index values recorded at sites further downstream was also attributed to the influence of the Selati River since there are no known point sources of contaminants within the boundaries of the KNP. The index scores also elucidated temporal trends with lower scores evident during winter months. This was due to reduced flow in the Olifants River and a greater contribution of contaminated water from the Selati River. Index values increased following the first seasonal rains due to a dilution effect. Very low index values were recorded at certain sites during flood periods due to increased turbidity, reduced oxygen, and increased metal concentrations.

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