scholarly journals Maintaining of good water quality – a prerequisite for healthy farmed fish

2021 ◽  
Author(s):  
Elena Zubcov ◽  
◽  
Nadejda Andreev ◽  
Laurenția Ungureanu ◽  
Liviu Dan Miron ◽  
...  

Water quality is one of the key factors in maintenance of fish health. The current article revises the effects of various water quality parameters on fish health, methods of quality analysis and diagnosis of fish health, as well as methods for improving the water quality in fish ponds, aiming to reduce the fish health risks. The synthesis is a joint work of an international consortium formed from scientists of the Institute of Zoology and Ion Ionescu de la Brad Iasi University of Life Sciences, which allows a broader view on the fish health issue for identification of sustainable solutions for fish farmers from the Republic of Moldova and Romania.

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 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.


2019 ◽  
Vol 22 (2) ◽  
pp. 327-345 ◽  
Author(s):  
Geovanny Gordillo ◽  
Mario Morales-Hernández ◽  
Pilar García-Navarro

Abstract In this work, a one-dimensional (1D) finite volume numerical model for the unsteady simulation of the flow hydrodynamics and water quality is developed. The water dynamics is formulated with the 1D shallow water equations, and the water quality evolution is described by the Water Quality Analysis Simulation Program (WASP) model, allowing us to interpret and predict the transport and fate of various biochemical substances along any river reach. This combined system is solved with an explicit finite volume scheme based on Roe's linearization for the advection component of both the flow and the solute transport equations. The proposed model is able to consider temporal variations in tributaries and abstractions occurring in the river basin. This feature is transcendent in order to predict the chemical composition of natural water bodies during winter and summer periods, leading to an improvement in the agreement between computed and observed water quality evolutions. The combined model has been evaluated using literature tests in a steady state and a real-field case of the Ebro river (Spain), characterized by a marked unsteady regime. In the real case, we found that the water temperature was very sensitive to both the solar radiation and the average air temperature, requiring a careful calibration of these parameters. The numerical results are also demonstrated to be reasonably accurate, conservative and robust in real-scale field cases, showing that the model is able to predict the evolution of quality parameters as well as hydrodynamic variables in complex scenarios.


2021 ◽  
Author(s):  
Liqing Li ◽  
Xinghong Chen ◽  
Meiyi Zhang ◽  
Weijun Zhang ◽  
Dongsheng Wang ◽  
...  

Abstract Baiyangdian Lake (BYD), a large shallow lake in North China, has complex water landscape patterns that are underlies spatial variations in water quality. In this study, we collected 61 water samples from three water landscapes (reed littoral zones, fish ponds and open water) and analyzed them for water quality parameters, such as dissolved organic carbon (DOC), total nitrogen (TN), and total phosphorus (TP). Water landscape distribution (determined using remote sensing imagery) was then used to assess correlations between water quality parameters and water landscape proportion in differently scaled buffer zones. There was substantial variation across all subareas, with TN and TP concentrations ranging from 0.90–4.10 mg/L and 0.06–0.18 mg/L, respectively. Spatial variations in water quality were mainly caused by water landscape distribution and external nutrient inputs. There were negative correlations between DOC, TN, and TP concentrations and the area proportion of reed littoral zones in the 300 and 500 m buffers. In contrast, DOC, TN and TP concentrations were significantly positively correlated with the area proportion of fish ponds in the 100 m buffer. Furthermore, compared with reed littoral zones, a lower nitrogen to phosphorus ratio and a higher proportion of dissolved organic nitrogen and tyrosine-like proteins were found in fish ponds. These effects were mainly attributed to development of internal sediment loadings due to nutrient exchange between sediment and overlying water. Therefore, dredging-based sediment removal from fish ponds should be considered to suppress internal phosphorus loading and accelerate recovery of the BYD ecosystem.


Author(s):  
Muh Sulaiman Dadiono ◽  
Maheno Sri Widodo ◽  
Rudy Wijaya

Fish health is an important problem faced by Cantang grouper (Ephinephelus sp.) Hatcheries. Broodstock health management needs to be managed properly so as not to decrease the quality and production of Cantang grouper seeds. Cantang grouper broodstock health management includes the process of maintaining grouper broodstock, feeding, disease control and water quality management. The data collection method is done by recording the results of active participation, interviews and observations. Broodstock grouper cantang are maintained in ponds made of concrete with sizes ranging from 150 meter kibik and a depth of 3 meter. Pond cleaning is carried out once or twice a month with the addition of 2 kg of chlorine / 150 tons of water. Grouper broodstock is fed 10 kg for 24 broodstock. feed in the form of trash fish, squid, mackarel, vitamin C and vitamin E. The types of diseases that often attack grouper broodstock are Criptocaryon irritans, Benedia sp and Vibrio alginolyticus. Water quality parameters measured in grouper broodstock ponds are salinity and temperature. The water salinity in broodstock ponds ranges from 34 - 35 ppt and temperatures range from 27-31 derajat celcius.


The purpose of the current method is to create a safe and secure that helps the fish pond owners and aquatic planters in producing high quality fish by maintaining normal water levels in the fish tank. The flow of the low or high water in the fish pond will solve the long-term problem of killing fish in a fish tank. Each water quality can affect the health of animals alone. The flow of water on fish ponds discusses how every day should be monitored. This should ensure quality by handling the PH, membrane, temperature, ammonia etc. It is a symbol of good quality water quality standards and poor water quality pools and how it should be upgraded. It is recommended that a prerequisite to increase production by ensuring sustainable fresh quality, and consequently, priority should be given priority. Therefore, water quality parameters maintain balanced positions, culture is the basis for the health and development of living organisms. It is recommended to monitor and evaluate water quality parameters on a regular basis


2005 ◽  
Vol 59 (1-2) ◽  
pp. 59-69 ◽  
Author(s):  
Svetlana Jeremic ◽  
Miroslav Cirkovic ◽  
Dobrila Jakic-Dimic ◽  
Vladimir Radosavljevic

Fish health protection is a complex and permanent measure veterinary specialists are taking in order to preserve and improve breeding and production of particular fish species and categories. The system of monitoring fish health should ensure early detection of disorders in fish health and the presence of causing agents. In order for the monitoring to be efficient it should be practiced in accordance with the specific conditions of each system and breeding venues, as well as to the specific health problem needs of different farmed fish species. The most important issue in fish diseases diagnostics is the systematic monitoring of the condition offish health. Only in such way it is possible to detect a disease on time and then determine the adequate therapeutic and other necessary measures. In dealing with the problems offish pathology in carp fishponds, the epizootical situation of disease spreading caused by different agents (viruses, bacteria, fungi and parasites) has been examined. The most frequent diseases among the farmed carps in the examined fish ponds in Vojvodina area, described in this paper were: carp pox, spring viremia of carp, carp erythrodermatitis, aeromonas and pseudomonas infections, bacterial gill disease, diseases caused by ecto- and endoparasites and gill necrosis. Based on the obtained results, modern diagnostic methods were implemented and proper prevention and successful therapy of the diseases causing the greatest loss in farmed fish populations was taken.


In the framework of enhancing water resource management, the Rainwater Harvesting (RWH) system has been recognized as one of the potential solution to mitigate water crisis issues. This paper aimed to study the water quality analysis of RWH system with subsequent flushes devices; in terms of its efficiency and practicality for non-potable purposes such as irrigation and toilet flushing. The project is also meant to identify the ideal volume among the five (5) FF devices installed; to be flushed away in order for the harvested rainwater to be usable for non-potable activities (i.e. irrigation, industry and toilet flushing). A RWH model were mounted on a wall of an existing store building at Universiti Teknologi PETRONAS (UTP), Perak. A total of eight (8) rain events (set of readings) were analysed. The nine (9) parameters monitored are: pH, turbidity, dissolved oxygen (DO), total suspended solids (TSS), total coliforms (TC), chemical oxygen demand (COD), total nitrogen (TN), ammonia and nitrate. For physical water quality parameters; pH, turbidity, DO and TSS, the final reading ranges were 4.60~8.37, 0.41~1.52 NTU, 7.60~9.44 mg/L and 0~40 mg/L, respectively. Chemical parameters such as COD, TN, ammonia and nitrate were in the ranges of 0~32 mg/L, 4~12 mg/L, 0.11~0.95 mg/L and 0~1.4 mg/L, respectively. Meanwhile the biological parameter which is the TC was in the range between 0~358.5 MPN. Based on the calculations, it is deduced that a minimum of 1.02 mm of rainfall of total 10.5 mL from FF1 to FF3 is needed to be flushed away; ensuring only better quality of rainwater being stored. The FF method is very important in the application of RWH system because it diverted the first flow of rainfall that is expected to be the most contaminated. The RWH system with subsequent FF devices is suitable for non-potable purpose. Upon further treatment and model modification, the harvested rainwater shall fit for potable use.


2021 ◽  
Vol 16 (2) ◽  
pp. 514-529
Author(s):  
Hebbal Rajendra Abhilash ◽  
Malliah Mahadevaswamy

Water is an indispensable natural resource vital for the survival of all life forms. It contributes significantly to the country's economic prosperity and general well-being. As a result, understanding the status of water bodies is crucial to assure their long-term use. A study on water quality parameters and aquatic insect community was therefore carried on the surface waters of Dalvoy Lake which is spread over an area of 133.43 acres and having a length of 2.2 km. Monthly water samples were collected using one-litre labeled plastic containers from three locations between the hours of 8 a.m. and 10 a.m. Water quality analysis was conducted following standard methods and compared to drinking water specifications. The dissolved oxygen content, total hardness, conductivity, total dissolved solids, and turbidity exceeded the permissible limits. Aquatic insects were collected from the same locations and preserved in 4% formalin. A total of 15 species of aquatic insects belonging to four orders, Hemiptera, Coleoptera, Diptera, and Ephemeroptera, were identified in this study. The Hemiptera was shown to be the largest group comprising of 8 species; 4 species of Diptera; 2 species of Coleoptera and a lone species of Ephemeroptera. The computation of aquatic insect dominance status using Engelmann's Scale revealed Diplonychus rusticus, Anisops sp., Enithares sp., Chironomous sp. and Culex sp. as dominant. Biodiversity metrics like the Shannon Index (1.4-2.11) and the evenness index (0.50-0.66) reflect the agitation of the system. Based on the results of the water quality index (163.67) and aquatic insect assemblage, it is evident that the water in Dalvoy Lake is deteriorated and is unfit for domestic usage. The study also indicated the abundance of two genera Chironomous and Culex of the Diptera order which are the index of water pollution. Thus, the present study calls for urgent and strict vigilance and continuous monitoring of this perennial water body for conservation and sustainable management.


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