scholarly journals Assessment of Some Water Quality Parameters of Bansi River in Monsoon and Winter Seasons

2013 ◽  
Vol 5 (2) ◽  
pp. 53-57
Author(s):  
MMM Hoque ◽  
S Roy ◽  
MN Hoque ◽  
MZ Islam
Keyword(s):  
Water Quality ◽  
Ph Value ◽  
Monsoon Season ◽  
Winter Season ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Mean Values ◽  
Physico Chemical ◽  
The Mean ◽  
The Government

The study was carried out to assess some physico-chemical water quality parameters and pollution scenario of the Bansi river. Water samples were collected from 8 different selected stations at Bagholpur to Nayarhat portion of Bansi river during winter and monsoon periods. The values of all parameters except temperature and DO were found higher in winter season compared to that of monsoon season. The water was slightly alkaline to strongly alkaline ranging from average pH value of 7.6 in monsoon to 8.5 in winter. The DO was found unsuitable for fisheries and irrigation purposes. The BOD was found extremely higher in winter than that of standard level set by the Government of Bangladesh. The mean values of EC in monsoon was 452.4 ?s/cm, whereas in winter season it was 901 ?S/cm, the value of DO in monsoon season was 4.7 mg/l whereas in winter it was 3.2 mg/l, the value of BOD in monsoon season was 8.9 mg/l and in winter season it was 31.4 mg/l, the value of TDS in monsoon season was 306.3 mg/l and in winter season it was 496 mg/l, the value of alkalinity in monsoon season 50.4 mg/l and in winter season it was 146.5 mg/l.DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14601 J. Environ. Sci. & Natural Resources, 5(2): 53-57 2012

scholarly journals Growth evaluation of all male prawn and tilapia in ponds of northern Bangladesh

2017 ◽  
Vol 3 (2) ◽  
pp. 198-204
Author(s):  
SH Rahman ◽  
Md Akhtar Hossain ◽  
Md Rayhan Hossain ◽  
Sayeeda Sultana
Keyword(s):  
Water Quality ◽  
Growth Parameters ◽  
Stocking Density ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Mean Values ◽  
Freshwater Aquaculture ◽  
Living Resource ◽  
Growth Evaluation ◽  
The Mean

Freshwater aquaculture is by far the most ancient aquatic living resource production system known in the world. An experiment was conducted to evaluate the growth performance of prawn and tilapia (male) under different sex (male and female) contribution of prawn in polyculture ponds for a period of four months from September 2010 to December 2010. The experiment was designed with 3 treatments like T1 (All male Tilapia– 4938/ha + All male Prawn 19,753/ha), T2 (All male Tilapia – 4938 / ha + All female Prawn 19,753/ha) and T3 (All male Tilapia – 4938/ decimal + all male Prawn 19876 + all female prawn 19876/ha), each with 2 replications. The mean stocking weight of prawn was 2.87 g and that of tilapia was 37.36 g. Total stocking density of prawn and tilapia (24,691/ha), basal fertilization (Cowdung 2470kg/ha, Urea 50kg/ha and TSP 50kg/ha), periodic fertilization (Cowdung 50kg/ha/day, urea 1.25kg/ha/day and TSP 1.25kg/ha/day) and feeding regime (diet containing 30% protein level at the rate of 2-5% of prawn and fish body weight twice daily) were same for all the treatments. Water quality parameters (water temperature, transparency, dissolved oxygen, pH, NH3-N and alkalinity) were monitored fortnightly and the growth parameters were monitored monthly. Mean values of water quality parameters were found within the suitable range. Treatment T1 varied more significantly (P<0.05) than that of others for the mean values of growth parameters (final weight, weight gain, SGR, survival rate and yield) of prawn and tilapia.Asian J. Med. Biol. Res. June 2017, 3(2): 198-204

scholarly journals Statistical evaluation of water quality parameters for two different seasons in Mahi estuary, west coast of India

2013 ◽  
Vol 32 (1) ◽  
Author(s):  
Nirmal Kumar Jangala Isaiah ◽  
Poliyaparambil Ravi Sajish ◽  
Rita Nirmal Kumar ◽  
George Basil ◽  
Shamiyan Khan
Keyword(s):  
Water Quality ◽  
Total Nitrogen ◽  
West Coast ◽  
Sea Water ◽  
Monsoon Season ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Estuarine System ◽  
West Coast Of India ◽  
Physico Chemical

AbstractMonthly and seasonal field sampling was conducted to characterize the variations in water column nutrients along four stations in the Mahi estuary, west coast of India from July 2008 to June 2009. Water samples from five stations were studied, from which Stations 1 and 2 are contaminated with effluents released by surrounding industrial complexes. The samples were analyzed for temperature and pH insitu, and salinity, alkalinity, dissolved oxygen, BOD, sulfate, nitrite, nitrate, total nitrogen, silicate-silicon, phosphate and calcium and magnesium, as per standard methods. The results showed an increased content of sulfate, nitrate, and total nitrogen in both Stations 1 and 2. The entire data has been factorized using principal component analysis to extract total variability and linear relationships for a set of different physico-chemical parameters of the Mahi estuarine system. The results revealed that all the physico-chemical processes depend on the seasonal fluctuations in freshwater input and sea-water intrusion. Cluster analysis was carried out for station-wise average values to understand the relationships between stations. Eigen values showed that PC1 was the most significant component, representing more than 90% of the variance in water quality parameters in the Mahi estuary for both monsoon and non-monsoon seasons. The results showed high deterioration in the physico-chemical quality of water during the non- -monsoon season compared to that in the monsoon season.

scholarly journals Investigation of Some Water Quality Parameters of the Buriganga River

2013 ◽  
Vol 5 (2) ◽  
pp. 47-52 ◽  
Author(s):  
ASM Saifullah ◽  
MH Kabir ◽  
A Khatun ◽  
S Roy ◽  
MS Sheikh
Keyword(s):  
Water Quality ◽  
Winter Season ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Dry Season ◽  
Water Quality Parameters ◽  
Wet Season ◽  
Mean Values ◽  
Different Depths ◽  
Buriganga River

This study deals with the investigation of water quality of the Buriganga river, Dhaka. For this purpose, samples were collected from five locations of the Buriganga river of Bangladesh during wet (monsoon) and dry (winter) season in 2011 to determine the spatial distribution and temporal variation of various water quality parameters. Water samples were collected from three different depths of river. The color was light brown in wet season and slightly black to black color in dry season. The water was found slightly acidic to slightly alkaline (6.6-7.5). Water temperature ranged from 18.2°C (dry) to 27.04°C (wet). The river was found to be highly turbid both in dry and wet season. Biochemical Oxygen Demand (BOD), Electric Conductivity (EC) and Total Dissolved Solids (TDS) were found higher in the dry season compared to that of wet season, while Dissolved Oxygen (DO) was found higher in wet season. The mean values of parameters were EC: wet- 1685 ?s/cm, dry-2250 ?s/cm; DO: wet- 4.9 mg/L, dry-3.7 mg/L; BOD: wet- 26.4 mg/L, dry- 33.4 mg/L; TDS: wet-238 mg/L, dry- 579 mg/L; transparency: wet- 24.6 cm, dry- 22.8 cm.DOI: http://dx.doi.org/10.3329/jesnr.v5i2.14600 J. Environ. Sci. & Natural Resources, 5(2): 47-52 2012

Monitoring and Assessment of Water Quality in Fuchunjiang and Hangzhou Reaches of Qiantangjiang Estuarine Zone

2013 ◽  
Vol 316-317 ◽  
pp. 711-714
Author(s):  
Zhi Yong Dong ◽  
Yong Gu ◽  
Shuo Shuo Wang ◽  
Ying Biao Shi ◽  
Ruo Hua Li ◽  
...  
Keyword(s):  
Water Quality ◽  
Cross Section ◽  
Cross Sections ◽  
Ph Value ◽  
Flood Plain ◽  
Quality Parameters ◽  
Main Channel ◽  
Water Quality Parameters ◽  
Vertical Line ◽  
Estuarine Zone

This paper presents monitoring investigation of water quality parameters in Fuchunjiang and Hangzhou reaches of Qiantang estuarine zone by YSI 6600 V2-4-M multi-parameter water quality sonde. The 7 monitoring cross-sections were streamwise placed, and the 2 vertical lines respectively located in flood plain and main channel at each cross-section. Surface, intermediate and bed layers were chosen at each vertical line in main channel, and surface and bed layers at each vertical line in flood plain. At each vertical line, the main water quality parameters such as dissolved oxygen, salinity, turbidity, pH value, electrical conductivity and oxidation reduction potential were monitored, variation of these parameters along longitudinal and vertical directions analyzed, and water quality conditions at each monitoring cross-section assessed.

scholarly journals A Prediction Model Based on Deep Belief Network and Least Squares SVR Applied to Cross-Section Water Quality

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1929
Author(s):  
Jianzhuo Yan ◽  
Ya Gao ◽  
Yongchuan Yu ◽  
Hongxia Xu ◽  
Zongbao Xu
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Prediction Model ◽  
Least Squares ◽  
Quality Parameters ◽  
Deep Belief Network ◽  
Water Quality Parameters ◽  
Series Data ◽  
Belief Network ◽  
The Mean

Recently, the quality of fresh water resources is threatened by numerous pollutants. Prediction of water quality is an important tool for controlling and reducing water pollution. By employing superior big data processing ability of deep learning it is possible to improve the accuracy of prediction. This paper proposes a method for predicting water quality based on the deep belief network (DBN) model. First, the particle swarm optimization (PSO) algorithm is used to optimize the network parameters of the deep belief network, which is to extract feature vectors of water quality time series data at multiple scales. Then, combined with the least squares support vector regression (LSSVR) machine which is taken as the top prediction layer of the model, a new water quality prediction model referred to as PSO-DBN-LSSVR is put forward. The developed model is valued in terms of the mean absolute error (MAE), the mean absolute percentage error (MAPE), the root mean square error (RMSE), and the coefficient of determination ( R 2 ). Results illustrate that the model proposed in this paper can accurately predict water quality parameters and better robustness of water quality parameters compared with the traditional back propagation (BP) neural network, LSSVR, the DBN neural network, and the DBN-LSSVR combined model.

Water Quality Parameters and Macroinvertebrates Index of Biotic Integrity of the Jimma Wetlands, Southwestern Ethiopia

2010 ◽  
Vol 3 ◽  
pp. 79-99 ◽  
Author(s):  
Hayal Desta Yimer ◽  
Seyoum Mengistou
Keyword(s):  
Water Quality ◽  
Human Disturbance ◽  
Ecological Status ◽  
Quality Parameters ◽  
Index Of Biotic Integrity ◽  
Water Quality Parameters ◽  
Biotic Integrity ◽  
Chemical Parameters ◽  
Southwestern Ethiopia ◽  
Physico Chemical

The wetlands located at the periphery of Jimma town, southwestern Ethiopia, have critical roles in providing a range of ecological and socio-economic benefits, yet they are subject to increasing anthropogenic disturbances, notably through agriculture, settlement, intensive grazing and brick-making. This study assessed the ecological status of these wetlands, and examined the scale of the human disturbances that local communities might impose on them. Macroinvertebrate communities, water quality parameters, and human disturbance scores were assessed. Except for electrical conductivity and water temperature, no significant difference (P < 0.05) was found in physico-chemical parameters between the sampled sites. Nitrate was the only parameter that correlated with significant influence on species richness of the sampled macroinvertebrates. A total of 10 metrics were used to generate the index of biotic integrity (IBI). This IBI was then tested based on macroinvertebrate data collected. Ways of assessing and evaluating the existing ecological status of the wetlands are discussed in the context of physico-chemical parameters, IBI based on macroinvertebrates and human disturbance scales. Key Words: Catchments land use; Water quality; Macroinvertebrate; Index of Biotic Integrity; Wetland DOI: 10.3126/jowe.v3i0.2265 Journal of Wetlands Ecology, (2009) Vol. 3, pp 77-93

Microbiological and physico- chemical assessment of the sacred river Alaknanda, India

2016 ◽  
Vol 1 (01) ◽  
pp. 102-107
Author(s):  
Nidhi Sharma ◽  
R. C. Sharma
Keyword(s):  
Water Quality ◽  
Monsoon Season ◽  
Winter Season ◽  
Viable Count ◽  
Chemical Methods ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Autumn And Winter ◽  
Habitat Environment

The Alaknanda River is one of the main rivers of Alaknanda sub- system which bubbles out from Alkapuri Glacier. Water quality of the sacred river Alaknanda was evaluated by microbiological and physico- chemical methods. The sampling was undertaken from various sites of lower stretches, including Rudraprayag (530 m a.s.l.), Srinagar (560 m a.s.l.) and Deoprayag upstream (457 m a.s.l.) on the river Alaknanda. A perusal of the data revealed that total viable count (CFU.ml-1) was recorded minimum (25,850 CFU.ml-1) in winter season and then it increased during summer (45,730 CFU.ml-1) and attained peak (56,110 CFU.ml-1) during monsoon season, when the maximum degradation in the water quality was observed. Due to the onset of autumn and winter seasons, the quality of water improved substantially and the density of the bacteria decreased (32,120 CFU.ml-1) significantly during autumn from the monsoon season. It is revealed that the myriad of physico- chemical environmental variables and nutrient load from various sources in the habitat environment are responsible for density and diversity in the sacred river Alakanda.

scholarly journals Physico-chemical properties of Dhepa River in Dinajpur District of Bangladesh

2015 ◽  
Vol 6 (1) ◽  
pp. 59-67
Author(s):  
K Rakiba ◽  
Z Ferdoushi
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Ph Value ◽  
Sampling Site ◽  
Chemical Properties ◽  
Quality Parameters ◽  
P Concentration ◽  
Physical Chemical ◽  
Physico Chemical ◽  
Buffer Condition

Among different water quality parameters dissolved oxygen, transparency, pH, PO4-P and depth varied significantly among the sampling sites. The pH value in the present investigation remained a buffer condition (6.50- 7.90). Dissolved oxygen was ranges from 3.80 to 11.60 mg/l throughout the study periods. PO4-P concentration was observed highest (0.30 mg/l) in sampling site 2. On the basis of physical, chemical aspects sampling site 3 and sampling site 5 (situated in gosaipur and chandandoho) found in better condition in terms of limnological aspects. However, it could be concluded that Dhepa River will play important role in riverine fisheries and for further fisheries management.DOI: http://dx.doi.org/10.3329/jesnr.v6i1.22041 J. Environ. Sci. & Natural Resources, 6(1): 59-67 2013

scholarly journals Assessment of Water Quality Parameters of Meghna River Kishoreganj, Bangladesh

2020 ◽  
pp. 29-37
Author(s):  
Romana Rima ◽  
Abdullah Al Ryhan ◽  
Sony Ahmed ◽  
Rafiq Islam ◽  
Sharif Hossain Munshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Winter Season ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Chemical Parameters ◽  
Potential Threat ◽  
Three Rivers ◽  
The Ganges

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.

ASSESSMENT OF POLLUTION HAZARDS OF GROUNDWATER RESOURCE IN ABEOKUTA NORTH LOCAL GOVERNMENT AREA, OGUN STATE, SOUTHWESTERN NIGERIA

2017 ◽  
Vol 15 (1) ◽  
pp. 42-56
Author(s):  
S A ISHOLA ◽  
V MAKINDE ◽  
I C OKEYODE ◽  
F G AKINBORO ◽  
H AYEDUN ◽  
...  
Keyword(s):  
Public Health ◽  
Water Quality ◽  
Local Government ◽  
Solid Waste ◽  
Quality Parameters ◽  
Dry Season ◽  
Total Hardness ◽  
Wet Season ◽  
Mean Values ◽  
Physico Chemical

Pollution of wells and borehole water, either from point or non-point sources, has become a matter of health concern both in urban and rural areas. Groundwater is tapped for domestic uses through the con-struction of hand dug wells and boreholes. However, while providing an alternative to the public water supply sources; most of the boreholes are often located too close to possible contamination sources. Various land use and human activities such as solid waste landfills, cemetery and animal wastes, among others can result in ground water contamination. In an open or buried dumping solid waste or sanitary landfill, the organic and inorganic by-products resulting from the decomposition of wastes are leached out by the infiltration of rainfall. A release of leachate to the surrounding soil without proper collection and treatment could contaminate groundwater resources. Many of the wells and boreholes in the study area were found to be indiscriminately located and scattered among such impairing lands/features. This study was therefore aimed at assessing the pollution hazards and vulnerability of groundwater resource in Abe-okuta North Local Government Area (LGA) by sampling some boreholes from selected locations in the area. Water samples were collected and analyzed for water quality parameters using standard proce-dures. The parameters determined were Turbidity, Temperature, Electrical Conductivity (EC), pH, Total Dissolved Solids (TDS) Total Suspended Solids (TSS), Total Solids (TS), Total hardness, cations {Potassium (K), Sodium (Na), Calcium (Ca), Magnesium (Mg), Manganese (Mn), iron (Fe)}, anions {Chloride (Cl-), Nitrate (NO3-), Sulphate (SO42-), Phosphate (PO43-)}, and heavy metals {lead (Pb2+), Zinc (Zn2+), Copper (Cu2+)}. Results were subjected to statistical evaluations using SPSS 18.0 for descriptive statistics and Analysis of Variance (ANOVA). It was observed that the elemental parameters in the bore-holes sampled have mean values of the concentrations of Fe2+, Na+, Cl- , SO42-, Pb2+, Mn2+, Cu2+ and Zn2+ higher during the wet season relative to dry season. For the physico-chemical parameters, it was equally observed that parameters such as EC, TDS, TS, TSS were higher during the wet season than dry season while turbidity, temperature, pH and total hardness were higher during dry season than in the wet season. Water quality parameters such as Fe2+, Pb2+, NO3-, and EC have mean values greater than World Health Organization and NESREA maximum permissible standards for drinking water. Elevated values of these parameters are of great concern to public health when the water from these boreholes is consumed without treatment by people. It is recommended that well and borehole waters in this area be adequately treated before consumption using advanced inorganic removal techniques such as Nano-filtration and Reverse Osmosis to safeguard human health in the study area.Keywords: Boreholes, pollution, water quality, public health, physico-chemical

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