Statistical assessment of seafront and beach water quality of Mumbai, India

2011 ◽  
Vol 64 (5) ◽  
pp. 1186-1193 ◽  
Author(s):  
Ritesh Vijay ◽  
Swapnil R. Kamble ◽  
S. S. Dhage ◽  
R. A. Sohony ◽  
S. R. Wate
Keyword(s):  
Water Quality ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Nonpoint Sources ◽  
Physico Chemical ◽  
Treated Sewage ◽  
Central Pollution Control Board ◽  
Spatio Temporal ◽  
Beach Water Quality

The water quality of seafronts and beaches of Mumbai is under pressure and deteriorating due to discharge of partially treated sewage and wastewater through point and nonpoint sources. The objective of the study was to assess the water quality and to correlate physico-chemical and bacteriological parameters for establishing relationship, association and dependence on each other. The water quality parameters were selected as per SW II standards specified by Central Pollution Control Board, India and nutrient parameters as strong indicators of sewage pollution. Box and whisker plots were generated for evaluating spatio temporal variation of water quality which suggest influence of organic pollution mostly at Mahim and Dadar in the form of outliers and extremes. Pearson's correlations were estimated between parameters and found significant correlation with each other indicating influence of sewage on water quality. The water quality of beaches and seafronts were found unsafe for recreational purposes. The study suggested that designated water quality can be achieved by restricting nonpoint source through improvement in wastewater collection systems, appropriate level of treatment and proper disposal.

scholarly journals Assessment of the Water Quality of Jatiluhur Reservoir, the Downstream of Citarum Cascade River, Using Selected Physico-Chemical Parameters

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Lieza Corsita ◽  
Arwin Arwin ◽  
Barti Setiani Muntalif ◽  
Indah Rachmatiah Salami
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Level ◽  
Hydrological Regime ◽  
Quality Parameters ◽  
Biological Data ◽  
Chemical Parameters ◽  
Stream Flows ◽  
Physico Chemical

Physico-chemistry and biological data were investigated  from  October 2010 until April 2011 of Jatiluhur reservoir. A total of six sampling stations were selected for this study. The discharge and hidrological data were obtained from Perum Jasa Tirta II Jatiluhur. The results showed that the hydrological regime in the reservoir Jatiluhur was affected by global phenomenon La Nina events in 2010 and early in 2011. Stream flows were determined during sampling to range from 78  to 482.5 m3/s. The water quality findings were as follows: pH (6.93-8.81), temperature (26.37-30.6°C), dissolved oxygen (0.733-5.2 mg/l), conductivity (2.45-233µmhos/cm), COD (7.36-96.9 mg/l), turbidity (4.063-65.6 NTU), total phosphate (0.002-0.324 mg/l), total nitrogen (0.99-5.96 mg/l), chlorophyl (2.237-43.37 mg/m3), visibility (30-160 cm). The eutrophication was pronounced at Jatiluhur reservoir. Canonical Correspendence Analysis found that some water quality parameters correlated positively with the discharge and the water level.

Multivariate statistical techniques for the assessment of surface water quality of Fuji River Basin, Japan

2006 ◽  
Vol 6 (5) ◽  
pp. 59-67 ◽  
Author(s):  
S. Shrestha ◽  
F. Kazama
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Point Sources ◽  
Discharge Temperature

Different multivariate statistical techniques were used to evaluate temporal and spatial variations of surface water-quality of Fuji river basin using data sets of 8 years monitoring at 13 different sites. The hierarchical cluster analysis grouped thirteen sampling sites into three clusters i.e. relatively less polluted (LP), medium polluted (MP) and highly polluted (HP) sites based on the similarity of water quality characteristics. The principal component analysis/factor analysis indicated that the parameters responsible for water quality variations are mainly related to discharge and temperature (natural), organic pollution (point sources) in LP areas; organic pollution (point sources) and nutrients (non point sources) in MP areas; and organic pollution and nutrients (point sources) in HP areas. The discriminant analysis showed that six water quality parameters (discharge, temperature, dissolved oxygen, biochemical oxygen demand, electrical conductivity and nitrate nitrogen) account for most of the expected temporal variations whereas seven water quality parameters (discharge, temperature, biochemical oxygen demand, pH, electrical conductivity, nitrate nitrogen and ammonical nitrogen) account for most of the expected spatial variations in surface water quality of Fuji river basin.

scholarly journals Munzur Çayı (Tunceli-Türkiye)’nın Algal Florasının ve Su Kalitesi Değişimi

2018 ◽  
Vol 6 (8) ◽  
pp. 985
Author(s):  
Banu Kutlu ◽  
Burcu Demir
Keyword(s):  
Water Quality ◽  
Organic Pollution ◽  
Chemical Parameters ◽  
Domestic Waste ◽  
Nitzschia Palea ◽  
Phytoplankton Distribution ◽  
Quality Regulation ◽  
Quality Of Water ◽  
Physico Chemical

Phytoplankton distribution and physico-chemical parameters in two stations in Munzur River were determined in the study carried out monthly between February 2015 and January 2016. According to water quality regulation of the supreme, while quality of water is first class property for temperature, pH, oxygen, ammonium nitrate. It is class feature. Also II. The station is in danger of organic pollution due to domestic waste. When the phytoplankton distribution in the region is examined; 84 taxa belonging phytoplankton Chlorophyta (6), Bacillariophyta (54), Cyanobacteria (15), Rhodophyta (1), Ochrophyta (1), Euglenophyta (2), Charophyta (3), Miozoa (2) were detected. In terms of organisms in the phytoplankton Bacillariophyta division was dominant and Cyanobacteria division was subdominant in the two stations. In the phytoplankton, Ulnaria ulna from Bacillariophyta, Nitzschia palea, Bacillaria paradoxa ,Encyonema sp., Navicula sp. and Nitzschia acicularis were mostly found. Lyngbya sp., Spirulina labyrinthiformis, Oscillatoria labyrinthiformis and Oscillatoria mougeotii species beloning to cyanobacteria match to second place in the terms of importance. Chlorophyta, Charophyta and Euglenophyta have not reached important numbers.

Assessment of Groundwater Quality in Areas Surrounding Thundulu Phosphate Mine, Phalombe District, Malawi

2021 ◽  
Vol 47 (3) ◽  
pp. 1310-1321
Author(s):  
Philip Jailos ◽  
Peter J. Chimtali ◽  
Ephraim Vunain
Keyword(s):  
Escherichia Coli ◽  
Water Quality ◽  
Electrical Conductivity ◽  
Quality Parameters ◽  
Faecal Coliforms ◽  
Physico Chemical ◽  
Phosphate Mine ◽  
Calcium And Magnesium ◽  
Chemical Water

Water is one of the renewable resources essential for sustaining all forms of life and quality of drinking water is very fundamental for human health. Human activities such as mining act as sources of water contamination which consequently lead to ecological, environmental and health problems. To the best of our knowledge, no study has been conducted around the Thundulu Phosphate Mine to establish the quality of drinking water. In this regard, this study was carried out to evaluate the physico-chemical water quality parameters of areas surrounding the Thundulu Phosphate Mine in Phalombe District. Groundwater samples from the villages surrounding the Phosphate Mine were collected both during the wet and dry seasons for analysis of physico-chemical water quality parameters (pH, electrical conductivity, turbidity, nitrate, chloride, sulphate, fluoride, iron, calcium and magnesium). The study also investigated microbiological water characteristics mainly Escherichia coli and faecal coliforms. Results showed that pH, electrical conductivity, turbidity, nitrate, chloride, sulphate, phosphate, calcium and magnesium complied with the national and international standards set by Malawi Bureau of Standards (MBS) and World Health Organization (WHO). As regards to microbiological characteristics, it was revealed that water from three sources (B2, B3 and B4) was contaminated with Escherichia coli and faecal coliforms. Keywords:       Physico-chemical; Groundwater; Phalombe; Borehole; Electrical Conductivity; Turbidity; Phosphate;

scholarly journals Water Quality Assessment of Aflaj in the Mountains of Oman

2016 ◽  
Vol 6 (2) ◽  
pp. 99 ◽  
Author(s):  
Mohammed Saif Al-Kalbani ◽  
Martin F. Price ◽  
Mushtaque Ahmed ◽  
Asma Abahussain ◽  
Timothy O’Higgins
Keyword(s):  
Water Quality ◽  
Demand Management ◽  
Wastewater Reuse ◽  
Water Quality Assessment ◽  
Quality Parameters ◽  
Planning Decisions ◽  
Management Measures ◽  
Physico Chemical ◽  
Al Jabal Al Akhdar

<p class="1Body">The research was conducted to assess the <em>aflaj</em> water quality in Al Jabal Al Akhdar, Oman. 9 <em>aflaj</em> were sampled during summer and winter seasons in 2012-2013 to evaluate for the physico-chemical characteristics of major quality parameters; and assess the suitability of <em>aflaj</em> for irrigation purposes. Samples collection, handling and processing followed the standard methods recommended by the <em><em>American Public Health Association </em></em><em>and </em>analysed in quality assured laboratories using appropriate analytical methods and instrumental techniques. The quality parameters of the selected <em>aflaj</em> water indicated their suitability for irrigation as most of the quality parameters were within the permissible limits set by Omani regulations of wastewater reuse for irrigation. These selected water resources are excellent or good in quality for irrigation purposes based on the evaluation of different hazards parameters including the salinity-alkalinity hazards which indicate good to admissible water based on electrical conductivity and sodium adsorption classification; and water quality indices which reveal high or moderate classes, indicating the suitability of <em>aflaj</em> for irrigation of the majority of crops and soils. This study is a first comprehensive assessment towards providing indicators and classification indices on irrigation water quality of this fragile mountain ecosystem, which will be the basis for future planning decisions on agricultural demand management measures to protect these principal resources for agricultural production in Al Jabal Al Akhdar.</p>

scholarly journals Spatio-Temporal Variation Study of Physico -Chemical Parameters Characterizing Water Quality of Oued M’zab Region, Algeria

2016 ◽  
Vol 1 (1) ◽  
pp. 2-7
Author(s):  
Zohra Baba Amer ◽  
◽  
Zineb Ben Saha ◽  
Abdelkrim Hazzab ◽  
◽  
...  
Keyword(s):  
Water Quality ◽  
Temporal Variation ◽  
Chemical Parameters ◽  
Physico Chemical ◽  
Spatio Temporal

scholarly journals Characterization of Irrigation Water Quality Parameters Using Geo-Statistical Approach

Agropedology ◽  
2019 ◽  
Vol 29 (2) ◽  
Author(s):  
G.S. Tagore ◽  
◽  
H. K. Rai ◽  
Keyword(s):  
Water Quality ◽  
Irrigation Water ◽  
Agricultural Development ◽  
Quality Parameters ◽  
Irrigation Water Quality ◽  
Quality Of Water ◽  
Sampling Locations ◽  
Physico Chemical

Recent past has witnessed ever increasing importance of water in agricultural development that necessitates precise assessment of spatial variability in irrigation water quality of ground water resources and its optimal utilization. Present study was aimed to characterize the variability in quality of irrigation water across the Rewa district of Madhya Pradesh using geo-statistical techniques. The results are compared with univariate interpolation algorithms such as ordinary kriging and inverse distance weighing. The comparisons were performed with cross validation at sampling locations and assessed based on mean and root means squared errors. The results revealed that all the physico-chemical parameters exist within the permissible limits as per the standards hence quality of water is safe for irrigation purposes.

scholarly journals Assessment of correlation amongst physico-chemical, topographical, geological, lithological and soil type parameters for measuring water quality of Rawal watershed using remote sensing

2022 ◽  
Author(s):  
Mehreen Ahmed ◽  
Rafia Mumtaz ◽  
Shahbaz Baig ◽  
Syed Muhammad Hassan Zaidi
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Soil Type ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Positive Correlations ◽  
The Relationship

Abstract The quality of water is traditionally assessed by the collection of physico-chemical parameters, i.e., pH, turbidity, dissolved oxygen of the water bodies. However, the variations in environmental factors may have an impact on the quality of water, as changes in these attributes may affect the water bodies. These factors include the topographical, geological, lithological and soil type parameters of the watershed. In this study, the relationship amongst the physico-chemical, topographical, geological, lithological and soil type parameters of Rawal watershed was evaluated. The parameters included in the present study could be classified as follows: (a) water quality parameters (b) topographical parameters, (c) geological parameters, (d) lithological parameters, and (e) soil type parameters. Water quality parameters consisted of dissolved oxygen, pH, turbidity and temperature. The topographical parameters include the slope and aspect of the watershed while the lithological, geological and soil type parameters include the lithology, geology and soil type of the watershed. Pearson's correlation was used to determine the relationship amongst these different parameters. The results have revealed that the correlations of the topographical, lithological, geological parameters with the water quality parameters in the Rawal watershed for the monsoon seasons of June to August mostly have the same trend. Throughout the four year time period, turbidity and temperature parameters had positive correlations with soil type (ranging 0.03–0.24), however had weak correlation with geological and lithological parameters. Dissolved oxygen did not show any relationship with topographical and lithological parameters. The results for pH show that it has weak to fair positive correlations with topographical parameters. However, this analysis is based on the Landsat 8 images extracted for the monsoon seasons of the years of 2017–2020, and to examine a more prominent impact of geographical or environmental factors on the physico-chemical features, a large dataset should be considered.

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