scholarly journals Assessment of Water Quality Parameters of Lentic and Lotic Waterbodies in Narmada Canal Command Area in Saurashtra Region, Gujarat

Author(s):  
Gupta R. ◽  
Tatu K. ◽  
Christian L. ◽  
Patel R. ◽  
Kamboj R. D.

<p>The objective of the present study was to assess the water quality of canal (man-made lotic waterbody) and ponds (man-made lentic waterbodies) present in Narmada Canal Command Area (NCCA) spread over four districts of Saurashtra region of Gujarat State,<em> viz.</em> Bhavnagar, Botad, Morbi, Surendranagar districts. Values of important physico-chemical parameters of water quality were determined through <em>in situ</em> and <em>ex situ</em> methods. Average values of parameters like pH (8.51), temperature (27.91 °C), electrical conductivity (6.32 ms/cm), TDS (559.18 ppm) turbidity (147.95 NTU), salinity (3.17 ppt) and phosphates (3.41mg/l) were found to be higher for pond waters, whereas the average values of DO (6.09 mg/l), total hardness (308.00 mg/l) and nitrates (2.37 mg/l) were found to be higher for the canal waters in the NCCA in the four districts. The study revealed that water quality of canals in the four districts was suitable for flora and fauna. For some ponds (n = 6) in Bhavnagar, Surendranagar and Morbi districts, the majority of water quality parameters, viz. pH, temperature, electrical conductivity, TDS, turbidity, salinity and phosphates had high values which might be undesirable from the view point of existence of some aquatic organisms. But as the values of these parameters for canal waters were lower and suitable for aquatic organisms, it is very likely that in the long run, the values of these water quality parameters of such ponds will become suitable for aquatic biota under the influence of long-term mixing of pond waters with canal waters having lower values of these parameters.</p>

2019 ◽  
Vol 5 (2) ◽  
pp. 185
Author(s):  
Ima Yudha Perwira

The decrease level of water quality of Brantas Watershed in Malang Raya was observed in this study. The aim of this study was to observe the decrease level of water quality of Brantas Watershed from Batu to Malang City. This study was carried out in the Brantas Watershed of Malang Raya (8 stations: A, B, C, D, E, F, G, and H) for 18,4 Km. The water quality parameters observed in this study were: CODmn (permanganometry), CODcr (CODmn correlation based analysis), dissolved oxygen (DO) (Winkler iodometry), TDS and electrical conductivity (EC) (EC meter), pH (pH meter), and turbidity (Turbidity meter). The result showed the value of CODmn: 1,8-10,2 mg/L, CODcr: 5,6-31,5 mg/L, DO: 4,0-6,1 mg/L, TDS: 204-289 mg/L, EC: 430-617 µS/cm, pH: 7,1-7,6, and turbidity: 2,02-10,30 NTU. There are 3 stations (A, B, and C) with 1st class water quality, 1 station (D) with the 2nd class water quality, and 4 stations (E, F, G, and H) with 3rd class water quality. The decrease of water quality in the Brantas Watershed from Batu to Malang City was up to 3 times with a decrease rate of 2,3 mg/L-1Km-1. The decomposition of organic materials in the water of Batu City and western part of Malang City is relatively better than that of central parts of Malang City which might be caused by the over capacity of recovery (Self-purification mechanism).


2015 ◽  
Vol 8 (1) ◽  
pp. 1-5 ◽  
Author(s):  
MS Islam ◽  
M Rehnuma ◽  
SS Tithi ◽  
MH Kabir ◽  
L Sarkar

The study was conducted to know the status of water quality of the Ramna, Crescent and Hatirjheel lakes in the Dhaka city. Water samples were collected from three different points of each lake and analyzed for various physicochemical parameters including temperature, pH, EC, TDS, DO, BOD, hardness, alkalinity, acidity during the period from November 2013 to April 2014. The mean temperature 22.54, 24.59 and 24.24°C; EC 15400, 282.00 and 618.27 ?Scm-1; TDS 85.38, 155.60 and 339.90 ppm; pH 7.73, 7.85 and 7.67; DO 3.51, 3.92 and 3.65 ppm; BOD 0.93, 0.73 and 3.15 ppm; hardness 95.00, 108.56 and 105.11 ppm; alkalinity 48.9, 120.7 and 249.1 ppm, and acidity 2.18, 2.67 and 2.05 ppm were investigated from Ramna, Crescent and Hatirjheel lakes, respectively. Lower concentration of DO was observed in all three lakes that severely harmed the aquatic organisms and degrade their habitat. The comparative study demonstrated that the concentration of BOD, EC, TDS, alkalinity and acidity of Hatirjheel Lake was higher than Ramna and Crescent lakes which indicated pollution of the lake water. The rain and storm water runoff, lack of awareness of people were responsible for the pollution of Ramna, Crescent and Hatirjheel lakes water. Connection of the sewerage line with the rain water collection channels and mixing of solid waste with lake water are the main reasons for pollution of Hatirjheel lake. Poor water quality of these lakes affects the ecosystem and aesthetic beauty negatively. To maintain the sound environment and healthy ecosystem of the lakes and the surrounding areas need proper management and monitoring and implementation of existing laws and regulations. Moreover public awareness is necessary otherwise it is hardly possible to maintain sound water quality of these three lakes.J. Environ. Sci. & Natural Resources, 8(1): 1-5 2015


2020 ◽  
Vol 4 (3) ◽  
pp. 333-342
Author(s):  
KEHINDE MONSURU YUSUFF ◽  
M. Lawal ◽  
A. T. Audu ◽  
O. A. Wale-Orojo

The health benefits in the description and observation of quantitative contents of quality parameters present or contained in any water source cannot be underestimated as they determine selection of best choice from available water sources for different intended uses as well as resource consumption. It also helps to compare the observed quantity of the quality with the acceptable standards or limits to get desired results. Physical parameters like pH, temperature, electrical conductivity (EC) and total dissolved solids (TDS) among others are determined by present of other chemical properties like Cations (Mg2+, Ca2+, Na+, etc), Anions (Cl-, NO3-, SO42+, etc), heavy metals and other dissolved materials during the course of its formation in different proportions and amounts. This study observed EC and TDS of 20 selected boreholes as two close and correlated water quality parameters as well as two of the major water quality parameters that account for overall quality of any water source, despite their different quantitative contents and physical features, they are likely determined by the same set of cations and anions with similar constraint equations. In contrast to linear programming, multiple criteria optimization models were fitted for EC and TDS using Response Surface Methodology via desirability techniques, optimal values obtained in this case measured against several criteria are found to lie between acceptable standards limits for drinking water, other numerical values and descriptive features in the final results reflect that the response equations obtained were well fitted.


he water quality analysis is an important aspect in understanding the behavior of water and what can they be used for. This study gives us a valuable information on the general properties of water quality parameters like pH, electrical conductivity, TDS, Bicarbonate, Sulfate, Nitrate, chloride etc. of the study area . Water samples were analyzed at the water quality lab. NIH, Roorkee for pH, electrical conductivity and total dissolved solids. The pH of water varied from 7.14 to 7.75. The electrical conductivity (EC) of sample falls from 620µS/cm to 2000µS/cm. The overall total dissolved solids in water of study area varied from 120mg/l to 900mg/l. Overall the range of the Chloride in water of the study area tend to falls between 13mg/l to 375mg/l. Sulfate of all the water samples that were collected from the study area have ranged from 28mg/l to 250mg .The range of the Bicarbonate of all the water samples varied from 320mg/l to 1051mg/l. The study area helps to know about water quality parameters and how to find their values by usingtwo methods : 1) titration method 2) instrumental method .It also helps us to apply these water quality parameters in ArcGis. It helps us to show the values of different parameters in different blocks ofambala for different years In this we have studied different blocks of ambala district Haryana .We have taken the samples from different places from the blocks and also samples are from wells, canal , rivers, ponds.


2019 ◽  
Vol 28 (2) ◽  
pp. 147-158
Author(s):  
Mohammad Saiful Islam ◽  
Romana Afroz ◽  
Md Bodruddoza Mia

This work has been conducted to evaluate the water quality of the Buriganga river. In situ water quality parameters and water samples were collected from 10 locations in January 2016 and analyzed later in laboratory for water quality parameters such as pH, Eh, EC, TDS, cations (Na+, K+, Ca2+, Mg2, As3+), anions (Cl-, HCO3-, NO2-, NO3-, SO42-, F-, Br-, PO43-), heavy metals (Cr2+, Pb2+, Zn2+, Cd+2, Fe2+, Mn2+) to see whether or not the level of these parameters are within the permissible limits. The average values of pH, Eh, EC and temperature were 7.31, –214.9 mV, 928.9 μs/cm and 21.4°C, respectively; the average concentration of Na+, K+, Ca2+, Mg2+, and As3+ were 109.62, 13.38, 46.78, 13.98 and 0.018 mg/l, respectively, while the concentrations of Cl-,HCO3-, PO43-, SO42-, NO3-, NO2-, F and Br -were 79, 331.06, 2.22, 84.32, 0.0254, 0.058, 0.224 and 0.073 mg/l, respectively; and the concentration of heavy metals Pb2+, Zn2+, Fe2+ and Mn2+were 0.28, 0.053, 0.17 and 0.23 mg/l, respectively. The study indicates that most of the parameters are within the permissible limits set by Bangladesh water quality standard. The concentrations of K+, Mn2+, and Pb2+ were beyond the permissible limits meaning that that the water of Buriganga is not safe for drinking. The people living beside Buriganga river should be more cautious about using the polluted/contaminated river water. The concerned authorities should take urgent necessary steps to improve the degraded water quality of the river considering the ecological, environmental and economic implications associated with it. Dhaka Univ. J. Biol. Sci. 28(2): 147-158, 2019 (July)


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Fiona-Annilow Wera ◽  
Teck-Yee Ling ◽  
Lee Nyanti ◽  
Siong-Fong Sim ◽  
Jongkar Grinang

Water quality downstream of a hydroelectric dam is potentially affected by dam operations and other land uses in the river basin. Previous short-distance studies below the large Bakun Dam indicated poorer water quality during closed spillway. However, the extent of the impact is still unknown. Such knowledge is essential for mitigating the impact of the dam. Thus, the objectives of this study were to determine the water quality up to a distance of 210 km under two spillway operations, namely, closed and opened spillways, and also to determine the changes in water quality from the predam condition. Physicochemical parameters were measured at 15 stations along the Rajang River. Results of this preliminary study indicated that there were significant differences in eight out of nine water quality parameters between opened and closed spillway operations with opened spillway showing better water quality. During closed spillway, as we approached the dam, there was an increasing acidity and a decreasing oxygen content. Furthermore, as the water flows downstream, the unhealthy DO level (<5 mg/L) extended up to 165 km and the linear model showed an increasing DO rate of 0.09 mg/L per km. With opened spillway, DO decreased exponentially from 9.74 mg/L towards the downstream direction to 7.67 mg/L. The increasing turbidity and TSS in the downstream direction indicate contributions from erosion due to other land uses. The river is polluted with organics as indicated by COD of Class IV or V with sources from the dam and the activities in the river basin. Compared to the predam condition, the regulated river is less turbid but warmer and higher in ammonia. Closed spillway led to lower DO and acidic water. However, opened spillway water pH and DO were similar to those in the predam condition. Thus, it is recommended that DO be consistently high enough for the health of sensitive aquatic organisms downstream.


Author(s):  
Romana Rima ◽  
Abdullah Al Ryhan ◽  
Sony Ahmed ◽  
Rafiq Islam ◽  
Sharif Hossain Munshi ◽  
...  

The Meghna River is one of the most important rivers in Bangladesh, one of the three rivers, the Ganges delta, and the largest delta in the world in the Bay of Bengal. The water quality of Meghna has become a matter of concern due to serious levels of pollution. The present study was conducted to assess the surface water quality of upstream of the Meghna River using physic-chemical parameters in summer and winter season at five different points. Water quality was evaluated by laboratory analysis considering a total of six water quality parameters, pH, DO, BOD, COD, salinity and TDS and water samples were collected from five stations. The study indicates that some parameters exceed the permissible limit for drinking purpose, it may cause potential threat to the human, but the water of this river is not immediate threat to human or ecosystem.


2021 ◽  
Vol 6 (4) ◽  
pp. 40-49
Author(s):  
Nur Natasya Mohd Anuar ◽  
Nur Fatihah Fauzi ◽  
Huda Zuhrah Ab Halim ◽  
Nur Izzati Khairudin ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performance of long short-term memory (LSTM) deep neural networks in time-series prediction, the purpose of this paper is to develop and train a Long-Short Term Memory (LSTM) Neural Network to predict water quality parameters in the Selangor River. The primary goal of this study is to predict five (5) water quality parameters in the Selangor River, namely Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH3-N), Chemical Oxygen Demand (COD), pH, and Dissolved Oxygen (DO), using secondary data from different monitoring stations along the river basin. The accuracy of this method was then measured using RMSE as the forecast measure. The results show that by using the Power of Hydrogen (pH), the dataset yielded the lowest RMSE value, with a minimum of 0.2106 at station 004 and a maximum of 1.2587 at station 001. The results of the study indicate that the predicted values of the model and the actual values were in good agreement and revealed the future developing trend of water quality parameters, showing the feasibility and effectiveness of using LSTM deep neural networks to predict the quality of water parameters.


2018 ◽  
Vol 18 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Sulata Kar ◽  
Papia Das ◽  
Uma Das ◽  
Maibam Bimola ◽  
Devashish Kar ◽  
...  

AbstractThe zooplankton assemblage of selected wetlands of Assam, India was assessed to deduce the structural variation in the context of water quality parameters. A two year study between 2012 and 2014 comprising of 530 samples from the five wetlands revealed the presence of 46 taxa, 26 Rotifera, 15 Cladocera, 4 Copepoda and 1 Ostracoda, in varying density. The rotifers dominated in terms of abundance (48 ind. cm−3) followed by the cladocerans (28 ind. cm−3) and the copepods (19 ind. cm−3) and showed significant (p <0.05) correlations with turbidity, alkalinity, hardness and phosphate contents of the water samples. The diversity and the richness of the zooplankton showed an increasing trend with the water temperature. Among the different taxa, Brachionus sp. was most abundant followed by Mesocyclops sp. while Beauchampiella sp. was represented in the least numbers. Application of the cluster analysis allowed the segregation of the different zooplankton based on the similarities of abundance in the samples. The water quality parameters like temperature, alkalinity, turbidity, magnesium and calcium were observed to be significant contributors in shaping the zooplankton community composition of the wetlands, revealed through the correlations and canonical correspondence analysis. As an extension, the information can be used in monitoring the quality of the freshwater habitats of the concerned and similar geographical regions, using the zooplankton as the major constituents. The variations in the abundance of cladoceran, copepod and rotifer zooplanktons can be used to understand the mechanisms that sustain the food webs of the aquatic community of the freshwater bodies.


2009 ◽  
Vol 44 (4) ◽  
pp. 355-363 ◽  
Author(s):  
Chia-Wei Lin ◽  
Mei-Hui Li

Abstract One closed uncontrolled landfill, the Neihu garbage dump, and one active controlled landfill, the Sanzhuku sanitary landfill, were selected for investigation of their leachate characteristics and effects on adjacent river water quality before and after rainfall in northern Taiwan. A total of seven samplings were made during February and June 2007, with four samplings done after individual rainfall events on study sites. Water quality of runoff samples collected from the Sanzhuku sanitary landfill showed less pollution than the water quality of leachates collected from the Neihu garbage dump; however, some water quality levels of leachate samples collected from the Neihu garbage dump were relatively high, such as ammonia nitrogen (NH3-N), orthophosphate (PO43-) and biochemical oxygen demand (BOD5). At the uncontrolled dump, rainfall lead to dilution effects on river water NH3-N and PO43- concentrations, but not other water quality parameters. In contrast, the concentrations of bisphenol A (BPA) and nonylphenol were increased in both types of landfills after rainfall in the present study. Dilution effects of rainfall on most water quality parameters and toxicity tests were observed in the Neihu garbage dump leachates after rainfall, but not for the Sanzhuku Landfill runoff. The highest concentration of BPA measured in this study was 25.8 μg L-1 in the Sanzhuku sanitary landfill runoff after the heaviest rainfall event, during which 236 mm of rainfall accumulated over four days. The results of this study suggest that both uncontrolled and controlled landfill leachates can be an important potential pollution source of BPA to adjacent water bodies.


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