scholarly journals Study of interrelationship among water quality parameters in earthen pond and concrete tank

2015 ◽  
Author(s):  
Olawale Ahmed Onada ◽  
Ayoola Olusegun Akinwole ◽  
Emmanuel Kolawale Ajani
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Samples ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Limiting Factors ◽  
Sample Collection ◽  
Commercial Fish ◽  
Earthen Ponds

One of the major limiting factors in aquaculture production is poor water quality which can negatively affect the yield from aquaculture venture. There is therefore the need to study the rate of interrelationship among key water quality parameters in relation to water quality management and productivity. The level of interaction among dissolved oxygen, ammonia, pH, and temperature in two culturing facilities (Earthen and Concrete ponds) was therefore investigated. Water samples were collected from concrete and earthen fish ponds in a commercial fish farm in Ibadan. The concrete tanks and earthen ponds used for the experiment have the same stocking rate; number of stocked fish; water source and feeding rate and frequency. Water samples were collected randomly from 4 different points in each of the rearing facilities with a sampling bottle in the morning (8.00-8.30am) and evening (5.00-5.30pm) immediately after feeding; this is done weekly for 6weeks. Also the mortality of fish in the studied facilities was recorded. Four different physico-chemical parameters (Temperature, pH, Dissolved oxygen and Ammonia) were analyzed and measured using HATCH analysis water testing kit model FF-1A immediately after water sample collection. Data collected were analysed using ANOVA and correlation and were test for significance at p=0.05. The result showed that, the mean values of pH was (8.15±0.17; 8.69±0.17); temperature (27.95±1.88; 30.21±1.880C) and dissolved oxygen (4.79±3.98; 11.38±3.98mg/l) were obtained in the morning and evening respectively. Mean dissolved oxygen was (7.04±3.98; 9.12±3.98mg/l); pH (7.9±0.17; 8.9±0.17mg/l); and ammonia (0.5±0.24; 2.09±0.24) in concrete tanks and earthen ponds respectively. The highest values of temperature (33.000C); dissolved oxygen (13.00mg/l) were obtained in the evening. The values obtained for dissolved oxygen and temperatures showed significant variations between the time of the day. Mean mortality recorded was (1.2±1.07); (2.6±1.07) in concrete and earthen ponds respectively. Mortality recorded shows positive correlation with temperature and ammonia with correlation coefficient (r=0.18) and (r=0.54) respectively, however, ammonia level had direct significant relationship with mortality. It is concluded that there exist interrelationship among the key water quality parameters examined, and there values varies with time of the day and between different culture facilities.

scholarly journals Study of interrelationship among water quality parameters in earthen pond and concrete tank

2015 ◽  
Author(s):  
Olawale Ahmed Onada ◽  
Ayoola Olusegun Akinwole ◽  
Emmanuel Kolawale Ajani
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Water Samples ◽  
Water Quality Management ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Limiting Factors ◽  
Sample Collection ◽  
Commercial Fish ◽  
Earthen Ponds

One of the major limiting factors in aquaculture production is poor water quality which can negatively affect the yield from aquaculture venture. There is therefore the need to study the rate of interrelationship among key water quality parameters in relation to water quality management and productivity. The level of interaction among dissolved oxygen, ammonia, pH, and temperature in two culturing facilities (Earthen and Concrete ponds) was therefore investigated. Water samples were collected from concrete and earthen fish ponds in a commercial fish farm in Ibadan. The concrete tanks and earthen ponds used for the experiment have the same stocking rate; number of stocked fish; water source and feeding rate and frequency. Water samples were collected randomly from 4 different points in each of the rearing facilities with a sampling bottle in the morning (8.00-8.30am) and evening (5.00-5.30pm) immediately after feeding; this is done weekly for 6weeks. Also the mortality of fish in the studied facilities was recorded. Four different physico-chemical parameters (Temperature, pH, Dissolved oxygen and Ammonia) were analyzed and measured using HATCH analysis water testing kit model FF-1A immediately after water sample collection. Data collected were analysed using ANOVA and correlation and were test for significance at p=0.05. The result showed that, the mean values of pH was (8.15±0.17; 8.69±0.17); temperature (27.95±1.88; 30.21±1.880C) and dissolved oxygen (4.79±3.98; 11.38±3.98mg/l) were obtained in the morning and evening respectively. Mean dissolved oxygen was (7.04±3.98; 9.12±3.98mg/l); pH (7.9±0.17; 8.9±0.17mg/l); and ammonia (0.5±0.24; 2.09±0.24) in concrete tanks and earthen ponds respectively. The highest values of temperature (33.000C); dissolved oxygen (13.00mg/l) were obtained in the evening. The values obtained for dissolved oxygen and temperatures showed significant variations between the time of the day. Mean mortality recorded was (1.2±1.07); (2.6±1.07) in concrete and earthen ponds respectively. Mortality recorded shows positive correlation with temperature and ammonia with correlation coefficient (r=0.18) and (r=0.54) respectively, however, ammonia level had direct significant relationship with mortality. It is concluded that there exist interrelationship among the key water quality parameters examined, and there values varies with time of the day and between different culture facilities.

Investigation of Some Water Quality Parameters of Pond Water under Mymensingh Municipality

2015 ◽  
Vol 8 (1) ◽  
pp. 85-89
Author(s):  
F Zannat ◽  
MA Ali ◽  
MA Sattar
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Chemical Properties ◽  
Pond Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Urban Region ◽  
Mn Toxicity ◽  
Ph Values ◽  
Drinking Water Standard

A study was conducted to evaluate the water quality parameters of pond water at Mymensingh Urban region. The water samples were collected from 30 ponds located at Mymensingh Urban Region during August to October 2010. The chemical analyses of water samples included pH, EC, Na, K, Ca, S, Mn and As were done by standard methods. The chemical properties in pond water were found pH 6.68 to 7.14, EC 227 to 700 ?Scm-1, Na 15.57 to 36.00 ppm, K 3.83 to 16.16 ppm, Ca 2.01 to 7.29 ppm, S 1.61 to 4.67 ppm, Mn 0.33 to 0.684 ppm and As 0.0011 to 0.0059 ppm. The pH values of water samples revealed that water samples were acidic to slightly alkaline in nature. The EC value revealed that water samples were medium salinity except one sample and also good for irrigation. According to drinking water standard Mn toxicity was detected in pond water. Considering Na, Ca and S ions pond water was safe for irrigation and aquaculture. In case of K ion, all the samples were suitable for irrigation but unsuitable for aquaculture.J. Environ. Sci. & Natural Resources, 8(1): 85-89 2015

scholarly journals Cladoceran abundance in relation to water quality parameters of Chakki Talab, Bodhan, Telangana

2018 ◽  
Vol 8 (01) ◽  
Author(s):  
Vasudha Lingampally ◽  
V.R. Solanki ◽  
D. L. Anuradha ◽  
Sabita Raja
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Oxygen Demand ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Biological Oxygen Demand ◽  
Water Quality Parameters ◽  
Total Alkalinity ◽  
Total Hardness ◽  
One Year

In the present study an attempt has been made to evaluate water quality and related density of Cladocerans for a period of one year, October 2015 to September 2016. Water quality parameters such as temperature, PH, total dissolved solids, dissolved oxygen, biological oxygen demand, total alkalinity, total hardness, chlorides, phosphates, and nitrates are presented here to relate with the abundance of Cladocerans. The Cladoceran abundance reflects the eutrophic nature of the Chakki talab.

scholarly journals Researchof Water Quality and its Chemical Parameters by Titration Method and Instrumenal Method

2019 ◽  
Vol 8 (6S4) ◽  
pp. 871-874
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Water Samples ◽  
Total Dissolved Solids ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Analysis ◽  
Instrumental Method ◽  
Titration Method ◽  
Dissolved Solids

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.

scholarly journals Potensi budidaya ikan di Waduk Embung Klamalu Kabupaten Sorong Provinsi Papua Barat: Kajian kualitas fisika kimia air

2013 ◽  
Vol 1 (3) ◽  
Author(s):  
Agustina Frasawi ◽  
Robert J Rompas ◽  
Juliaan Ch. Watung
Keyword(s):  
Carbon Dioxide ◽  
Water Quality ◽  
Dissolved Oxygen ◽  
Good Condition ◽  
Fish Farming ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Alkalinity ◽  
Physical Chemical ◽  
Papua Barat

The objective of this research was to measure and analyze the water quality parameters including temperature, brightness, pH, dissolved oxygen, total alkalinity, carbon dioxide and BOD in reservoir Embung Klamalu Sorong regency, and to know the factors that affected the water quality of Embung Klamalu. Measurement of water quality parameters was done in situ for temperature, brightness, pH and in laboratory for dissolved oxygen, total alkalinity, carbon dioxide, and BOD. The results showed the temperature at the five observation stations ranged from 26.2 to 29.8 0C, brightness 38 to 46 cm, pH 7.20 to 8.48 mg /L, dissolved oxygen from 7.20 to 8.48 mg / L, alkalinity 100 to 150 mg /L, carbon dioxide from 25.90 to 28.95 mg / L, BOD from 0.20 to 0.38. Refers to the standards of water quality according to the PP. 82, 2001, it could be concluded that water physical-chemical qualities in fish farming locations in the Village Klamalu were still in good condition. Keywords: Water physical-chemical quality, aquaculture, waduk Embung Klamalu

scholarly journals Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-23 ◽  
Author(s):  
Yashon O. Ouma ◽  
Clinton O. Okuku ◽  
Evalyne N. Njau
Keyword(s):  
Water Quality ◽  
Linear Regression ◽  
Dissolved Oxygen ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Monitoring

The process of predicting water quality over a catchment area is complex due to the inherently nonlinear interactions between the water quality parameters and their temporal and spatial variability. The empirical, conceptual, and physical distributed models for the simulation of hydrological interactions may not adequately represent the nonlinear dynamics in the process of water quality prediction, especially in watersheds with scarce water quality monitoring networks. To overcome the lack of data in water quality monitoring and prediction, this paper presents an approach based on the feedforward neural network (FNN) model for the simulation and prediction of dissolved oxygen (DO) in the Nyando River basin in Kenya. To understand the influence of the contributing factors to the DO variations, the model considered the inputs from the available water quality parameters (WQPs) including discharge, electrical conductivity (EC), pH, turbidity, temperature, total phosphates (TPs), and total nitrates (TNs) as the basin land-use and land-cover (LULC) percentages. The performance of the FNN model is compared with the multiple linear regression (MLR) model. For both FNN and MLR models, the use of the eight water quality parameters yielded the best DO prediction results with respective Pearson correlation coefficient R values of 0.8546 and 0.6199. In the model optimization, EC, TP, TN, pH, and temperature were most significant contributing water quality parameters with 85.5% in DO prediction. For both models, LULC gave the best results with successful prediction of DO at nearly 98% degree of accuracy, with the combination of LULC and the water quality parameters presenting the same degree of accuracy for both FNN and MLR models.

scholarly journals Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida

2019 ◽  
Vol 9 (12) ◽  
pp. 2534 ◽  
Author(s):  
Mohammad Zounemat-Kermani ◽  
Youngmin Seo ◽  
Sungwon Kim ◽  
Mohammad Ali Ghorbani ◽  
Saeed Samadianfard ◽  
...  
Keyword(s):  
Neural Network ◽  
Water Quality ◽  
Dissolved Oxygen ◽  
Soft Computing ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Performance Criteria ◽  
Input Combination ◽  
Do Concentration ◽  
Computing Models

This study evaluates standalone and hybrid soft computing models for predicting dissolved oxygen (DO) concentration by utilizing different water quality parameters. In the first stage, two standalone soft computing models, including multilayer perceptron (MLP) neural network and cascade correlation neural network (CCNN), were proposed for estimating the DO concentration in the St. Johns River, Florida, USA. The DO concentration and water quality parameters (e.g., chloride (Cl), nitrogen oxides (NOx), total dissolved solid (TDS), potential of hydrogen (pH), and water temperature (WT)) were used for developing the standalone models by defining six combinations of input parameters. Results were evaluated using five performance criteria metrics. Overall results revealed that the CCNN model with input combination III (CCNN-III) provided the most accurate predictions of DO concentration values (root mean square error (RMSE) = 1.261 mg/L, Nash-Sutcliffe coefficient (NSE) = 0.736, Willmott’s index of agreement (WI) = 0.919, R2 = 0.801, and mean absolute error (MAE) = 0.989 mg/L) for the standalone model category. In the second stage, two decomposition approaches, including discrete wavelet transform (DWT) and variational mode decomposition (VMD), were employed to improve the accuracy of DO concentration using the MLP and CCNN models with input combination III (e.g., DWT-MLP-III, DWT-CCNN-III, VMD-MLP-III, and VMD-CCNN-III). From the results, the DWT-MLP-III and VMD-MLP-III models provided better accuracy than the standalone models (e.g., MLP-III and CCNN-III). Comparison of the best hybrid soft computing models showed that the VMD-MLP-III model with 4 intrinsic mode functions (IMFs) and 10 quadratic penalty factor (VMD-MLP-III (K = 4 and α = 10)) model yielded slightly better performance than the DWT-MLP-III with Daubechies-6 (D6) and Symmlet-6 (S6) (DWT-MLP-III (D6 and S6)) models. Unfortunately, the DWT-CCNN-III and VMD-CCNN-III models did not improve the performance of the CCNN-III model. It was found that the CCNN-III model cannot be used to apply the hybrid soft computing modeling for prediction of the DO concentration. Graphical comparisons (e.g., Taylor diagram and violin plot) were also utilized to examine the similarity between the observed and predicted DO concentration values. The DWT-MLP-III and VMD-MLP-III models can be an alternative tool for accurate prediction of the DO concentration values.

scholarly journals Assessment of Physicochemical Water Quality Parameters and Heavy Metals Concentration in Water Samples from Buriganga River Adjacent to Dhaka City

2017 ◽  
Vol 9 (2) ◽  
pp. 97-104
Author(s):  
MMM Hoque ◽  
PP Deb
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
River Water ◽  
Water Samples ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Water Quality Parameter ◽  
Dhaka City ◽  
Standard Level ◽  
Buriganga River

This study was conducted to know the status of physicochemical water quality parameter and heavy metal concentration in the water of Buriganga river, adjoining to Dhaka city. Water samples were collected from five different points of Buriganga river and were analyzed to determine pH, electrical conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), biological oxygen demand (BOD), chromium (Cr), lead (Pb), cadmium (Cd), copper (Cu) and manganese (Mn) content. Most of the measured water quality parameters and concentration of heavy metals were exceeded the standard level set by ECR and ADB. Among heavy metals concentration, level of chromium and cadmium were 4-5 times higher than the standard drinking level, these results indicate that surrounding industrial wastewater discharging from textile and tannery industries, which pollute the Buriganga river water. During the observation, at Hazaribagh station BOD level was found 32 times higher than drinking water standard level and 6 times higher than standard irrigation level, indicating Buriganga river water is extremely polluted by microorganism and is not suitable for household and irrigational use. Similarly, DO level at Buriganga river water was 5 times lower than the standard level, which indicates that Buriganga river water is extremely polluted and is unsuitable for aquatic life which are dependent on DO for their sustain. In the present study, the measured level of EC, chromium, cadmium and copper were found higher level as compare to the previous studies.J. Environ. Sci. & Natural Resources, 9(2): 97-104 2016

scholarly journals Analysis of stomach content of piscivorous fishes caught in Danau Panggang Peatland, South Kalimantan, Indonesia

2019 ◽  
Vol 20 (12) ◽  
Author(s):  
Dini Sofarini ◽  
ENDANG YULI HERAWATI ◽  
MOHAMMAD MAHMUDI ◽  
ASUS MAIZAR SURYANTO HERTIKA ◽  
DIANA ARFIATI ◽  
...  
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Stomach Content ◽  
Quality Parameters ◽  
Limiting Factors ◽  
Natural Food ◽  
Extreme Conditions ◽  
Anabas Testudineus ◽  
Macrognathus Aculeatus ◽  
Mystus Nemurus

Abstract. Sofarini D, Herawati EY, Mahmudi M, Hertika AMS, Arfiati D, Musa M, Amin M, Supriharyono. 2019. Analysis of stomach content of piscivorous fishes caught in Danau Panggang Peatland, South Kalimantan, Indonesia. Biodiversitas 20: 3788-3793. The purpose of this study was to analyze the stomach content profile of piscivorous fishes caught at the reservaat station and the station without activity as The control station, in the Danau Panggang peatland. Sampling was carried out four times and the index of preponderance stomach content was determined in piscivorous fishes. The results showed there were nine fish species in the reservaat area, including Cryptopterus spp., Pangasius nieuwenhuisii, Chana striata, Anabas testudineus, Pangasius sp., Mastecembelus erythrotaenia, Macrognathus aculeatus, Mystus nigriceps, and Mystus nemurus. Their gut was dominated 89% by Chrysophyta, and 37.5% by Diatom and Navicula. In the area without activity, six species of fish were caught, including Cryptopterus spp, Pangasius nieuwenhuisii, Anabas testudineus, Pangasius sp, Mystus nigriceps, and Mystus nemurus, with 83% of their gut dominated by Diatom. The water temperature was 28.07-33.25º C, brightness (6-115 cm), pH of 4.23-6.97, dissolved oxygen (DO) (1.4-6.5 mg/L) and BOD (7.52-24.92 mg/L) i.e., water quality parameters that tend to be incompatible with the persistence of fishes. These limiting factors of peatland water and extreme conditions led to a limitation at availability of natural food for piscivorous fishes.

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