Predicting Fish Growth Potential and Identifying Water Quality Constraints: A Spatially-Explicit Bioenergetics Approach

2011 ◽  
Vol 48 (4) ◽  
pp. 691-709 ◽  
Author(s):  
Phaedra Budy ◽  
Matthew Baker ◽  
Samuel K. Dahle
Keyword(s):  
Water Quality ◽  
Fish Growth ◽  
Growth Potential ◽  
Spatially Explicit

scholarly journals Evaluating the potential of aquaculture in the Hoa Binh reservoir with carrying capacity and water quality indices

2021 ◽  
Vol 63 (4) ◽  
pp. 66-71
Author(s):  
Diep Thi Ngoc Phan ◽  
◽  
Binh Duc Nguyen ◽  
Paul Liew ◽  
Ha Thi Thu Pham ◽  
...  
Keyword(s):  
Water Quality ◽  
Carrying Capacity ◽  
Load Capacity ◽  
Fish Growth ◽  
Growth Potential ◽  
Production Model ◽  
Future Production ◽  
Cage Size ◽  
Aquaculture Production ◽  
Hoa Binh

Not only does the Hoa Binh reservoir play essential roles in water storage for electricity generation and flood regulation, but also it has great potential to aid aquaculture production. Presently, aquaculture production sits at around 9,200 tons/year; however, a recent MARD circular (#16 in 2015) estimated that maximum production would approach 10,000 tons/year in the productive photic zone. This paper supports increased capacity towards a sustainable commodity production model by optimizing production levels and farming practices. To reach this goal, it is necessary to determine water quality parameters using the Relative Water Quality Index (ReWQI) and carrying capacity (CC) analysis. Data was obtained from 30 sites at upstream, midstream, and downstream sections of the reservoir during the 2019 dry and wet seasons. The results from the ReWQI reflected good water quality potential (rated between 92-100) for aquaculture. The total nitrogen (TN) and total phosphorus (TP) levels of 10,794.9 kg/day and 1,965.4 kg/day, respectively, indicate high biological productivity resulting in strong fish growth potential. CC analysis and overall water quality reflect the potential for sustainable and increased productivity to 22,730.4 tons/year, which is an increase in production of over 13,200 tons/year compared to the current period. To reach a higher yield of 40 kg/year/m3 within each cage (5,040 kg/cage/year), the corresponding increase in number needs to be 4,510 cages based on a common cage size of 126 m3 (6x6x3.5 m). In order to reach these future production goals, this work concludes that the local government should begin spatial planning decisions based on appropriate cage allocation and distribution with respect for regular monitoring of water quality and nutrient load capacity of the environment to reach sustainable aquaculture development.

scholarly journals Study on physico-chemical features of water in Tarahara Fish Farm, Sunsari, Nepal

2017 ◽  
Vol 7 (1) ◽  
pp. 47-57
Author(s):  
Ganesh Bahadur Thapa ◽  
Joydeb Pal
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Air Temperature ◽  
Physicochemical Parameters ◽  
Quality Parameters ◽  
Fish Farm ◽  
Fish Growth ◽  
Chemical Parameters ◽  
Physico Chemical ◽  
Peripheral Areas

Tarahara Fish Farm includes 37 large ponds as a fish super zone. Physicochemical parameters viz., air and water temperature, pH, DO, BOD, CO2, Cl-, TA and TH of these ponds were studied for two years (Nov. 2008 to Oct. 2010). The air temperature had positive and significant correlation with water temperature (r=0.893, P<0.01) but inverse and significant correlation with DO (r = - 0.669 P<0.05) and TH (r = - 0.673, P<0.05). Both air and water temperature showed a decreasing trend during the winter months of November to January and again September to October in both years. Similarly, positive and significant correlation showed by pH with DO (r =0.660, P<0.05) and BOD (r =0.846, P<0.05); by free CO2 with DO (r=0.854, P<0.01), chloride (r=0.648, P<0.05) and TA (r=0.616, P<0.05); by DO with TA (r =0.715, P<0.01) and chloride (r =0.625, P<0.05) and by TH with TA (r= 0.592, P<0.05) but inverse and significant correlation showed by pH with water temperature (r =-0.671, P<0.05); by free CO2 with BOD (r=-0.627, P<0.05) and by DO with BOD (r = -0.810, P <0.01). The water quality parameters were within suitable range for the fish growth and breeding with small fluctuations in different months during the first and second years. Physico-chemical parameters significantly (P<0.01; 0.05) differed between different months. However, no mass mortality of fish was recorded from this site. So, the area selected as fish super zone is fruitful to meet the expected production level of fishes and fish seeds in peripheral areas.

scholarly journals Effect of Supplementation of Dried Bioflocs Produced by Freeze-Drying and Oven-Drying Methods on Water Quality, Growth Performance and Proximate Composition of Red Hybrid Tilapia

2022 ◽  
Vol 10 (1) ◽  
pp. 61
Author(s):  
Tarq Binalshikh-Abubkr ◽  
Marlia Mohd Hanafiah
Keyword(s):  
Water Quality ◽  
Body Composition ◽  
Growth Performance ◽  
Freeze Drying ◽  
Energy Levels ◽  
Fish Growth ◽  
Drying Methods ◽  
Oven Drying ◽  
Freeze Dried

Supplementation of dried bioflocs for red hybrid tilapia (Oreochromis sp.) was examined during 57 days of feeding trials. Five experimental treatments; T1 (the control; without bioflocs), T2 (4% freeze-dried bioflocs), T3 (16% freeze-dried bioflocs), T4 (4% oven-dried bioflocs), and T5 (16% oven-dried bioflocs) were prepared to examine the water quality, growth performance and body composition of red hybrid tilapia. T2 and T4 treatments resulted in a higher growth rate and survival similar to the control, while T3 and T5 treatments showed the lowest values of growth performance among all treatments. T1 treatment showed the best quality of culture water followed by T2 and T4 treatments, while T3 treatment resulted in poor water quality followed by T5 treatment. Based on these results, the ratios of bioflocs (4% and 16%) had more effect on fish growth and water quality than the drying methods (freeze-drying and oven-drying). The ratio of 4% freeze-dried or oven-dried bioflocs provided higher growth rates and better water quality parameters similar to the control, while the ratio of 16% showed the worst growth performance and water quality in the present study. In addition, body compositions of tilapia fed 4% dried bioflocs showed better nutritional value than tilapia fed 16% dried bioflocs. Protein and energy levels showed an increasing trend with decreasing supplement levels of bioflocs. Moisture content was significantly higher when supplementation of 16% bioflocs was used. Overall, supplementation of 4% freeze-dried or oven-dried bioflocs can be successively included in red hybrid tilapia diets without any effects on growth or body composition and can result in a good quality of culture water for red hybrid tilapia.

scholarly journals KAJIAN KUALITAS PERAIRAN UNTUK PERIKANAN DI RAWA PENING JAWA TENGAH

2017 ◽  
Vol 8 (3) ◽  
pp. 173
Author(s):  
Siti Nurul Aida ◽  
Agus Djoko Utomo
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Trophic Level ◽  
Carrying Capacity ◽  
Water Hyacinth ◽  
Trophic State ◽  
Fish Growth ◽  
Household Waste ◽  
Trophic State Index ◽  
State Index

Perairan Rawa Peningmerupakan tipe perairan yang tergenang dan mempunyai arti penting bagi perikanan. Masalah utama yang ada di Rawa Pening yaitu pendangkalan karena sedimentasi dan eutrofikasi yang disebabkan pencemaran air berasal dari limbah rumah tangga, pertanian dan budidaya perikanan. Penelitian ini bertujuan untukmengetahui tingkat kesuburan perairan dan kualitas air di Rawa Pening. Penelitian dilakukan pada bulan Mei, Juni, Agustus dan Oktober 2013. Frekuensi pengambilan contoh dilakukan empat kali yaitu pada bulan Mei, Juni,Agustus dan Oktober. Stasiun pengamatan meliputi:A. Tengah (Puteran); B.Muara sungai (Torong); C.Area KJA; D. Pemotongan eceng Gondok (tengah 1); E. Sungai keluar (Tuntang); F. Muara sungai (Muncul); G. Tidak ada pemotongan eceng gondok (tengah 2). Data tingkat kesuburan perairan dianalisis dengan metode Carlon’s.Hasil penelitianmenunjukkan bahwa Rawa Pening termasuk katagori perairan dengan tingkat kesuburan tinggi, nilai Thropic State Index (TSI) pada semua stasiun pengamatan berkisar antara 57,22 - 68,06. Kondisi kualitas air yang kurang baik tersebut akanmerugikan perikanan, seperti kejadian kematian ikanmasal, lambatnya pertumbuhan ikan dan penurunan daya dukung perairan.The Rawa Pening waters is a lentic water and has significance for fishery. The main problems in Rawa Pening are silting due to sedimentation and eutrophication due to water pollution from household waste, agriculture and fisheries. The study aims to examine trophic level and water quality. The research conducted on May, June, August and October 2013. There was 7 stations i.e. A. middle (Puteran); B. inlet of Torong; C. Location of aquaculture;D. locations where harvesting of water hyacinth occurred (middle1); E. outlet (Tuntang); F. inlet (Muncul); G. location where no harvest of water hyacinth (middle 2). Trophic level were analyzed by Carlon’s method. The results showed that Rawa Pening waters categorized as the high eutrophication level where the Trophic State Index (TSI) was 57. 22 to 68. 06. The low water quality will be detrimentaled to fisheries, such as mass fish death, slow fish growth and also a decline of carrying capacity of ecosystem.

scholarly journals Mamdani fuzzy inference system for mapping water quality level of biofloc ponds in catfish cultivation

2020 ◽  
Vol 8 (2) ◽  
pp. 84-88
Author(s):  
Herryawan Pujiharsono ◽  
Danny Kurnianto
Keyword(s):  
Water Quality ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Water Quality Monitoring ◽  
Growth Conditions ◽  
Fish Growth ◽  
Quality Level ◽  
Inference System ◽  
The Government ◽  
Mamdani Fuzzy Inference System

The government has launched a program to increase the production of catfish by using biofloc ponds. The biofloc ponds can maintain the quality of water biologically to maximize the growth of fish. However, the level of water quality monitoring is generally only divided into good or bad categories so that it cannot represent the condition of fish growth. Therefore, this study aims to get the level of water quality (0–100 %) using the Mamdani fuzzy inference system (FIS) algorithm based on pH, temperature, and dissolved oxygen (DO). The level of water quality was correlated based on catfish growth conditions. The results showed that the range of values of the water quality level for each condition of catfish growth was 100 % for normal-living fish, 83–99 % for stunted fish growth, and < 83% for threatened fish. The FIS algorithm had 89.92 % of accuracy.

scholarly journals RANCANG BANGUN ALAT UKUR SISTEM MONITORING pH, TEMPERATUR, DAN KELEMBAPAN AKUARIUM IKAN HIAS BERBASIS ARDUINO UNO

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Bintara Putra Candra Bareta ◽  
Alex Harijanto ◽  
Maryani Maryani
Keyword(s):  
Water Quality ◽  
Water Temperature ◽  
Physics Education ◽  
Ornamental Fish ◽  
Fish Growth ◽  
Design System ◽  
Sensor Calibration ◽  
Measuring Instruments ◽  
Water Ph ◽  
Arduino Uno

Water quality in the process of ornamental fish cultivation plays an important role in creating an environment of life that is in accordance with the needs of ornamental fish. Acidity (pH) and water temperature are one of the important factors of ornamental fish growth. The purpose of this study is to describe how the design system builds arduino-based humidity and pH temperature measuring instruments. Review the validity of moisture temperature and water pH. Monitor the humidity temperature and pH of ornamental fish aquarium water to know the results of the same data with liturgy. This research is a research and development research, conducted in the Laboratory of Physics Education Study FKIP Jember University. The research time was carried out for four months. The samples used in this study were ornamental carp. Based on the analysis of data obtained, it can be concluded that, (1) The work of pH, temperature, and spouting systems based on Arduino Uno is made with sen0161-V2, DS18B20 and DHT-11 sensors and data appearance media namely LCD. (2) Rakaian system is then calibrated to state that the system can be used properly. Calibration includes Arduino-based pH, temperature and Humidity sensor calibration as well as LCD testing. (3) The data that has been found by the researcher and the data in the literature has a match.   Keywords: water quality, Acidity (pH), water temperature, arduino-based.

Effects ofYucca shidigeraExtract on Water Quality and Fish Growth in Recirculating-Water Aquaculture Systems

1992 ◽  
Vol 54 (3) ◽  
pp. 196-201 ◽  
Author(s):  
James H. Tidwell ◽  
Carl D. Webster ◽  
Julia A. Clark ◽  
Daniel H. Yancey
Keyword(s):  
Water Quality ◽  
Fish Growth

scholarly journals Water quality analysis and model simulation for the second largest polluted lake in Egypt

2018 ◽  
Vol 7 (3) ◽  
pp. 1762
Author(s):  
Diaa SeifSeif ◽  
Mahmoud Nasr ◽  
Mohamed R. Soliman ◽  
Medhat Moustafa ◽  
Walid Elbarki
Keyword(s):  
Water Quality ◽  
Model Simulation ◽  
Principal Component ◽  
Fish Growth ◽  
Quality Analysis ◽  
Lake Water Quality ◽  
Aquatic Life ◽  
North East ◽  
Burullus Lake

This study investigated the spatial variation in the water quality parameters of Burullus Lake using multivariate analysis and MIKE21 model. The lake was classified into zone-1 at north-east (Z1), zone-2 at south-east (Z2), zone-3 at north-middle (Z3), zone-4 at south-middle (Z4), zone-5 at north-west (Z5), zone-6 at south-west (Z6), and zone-7 at west (Z7). The obtained parameters were temperature 21.5±5.0 ºC, pH 8.2±0.6, dissolved oxygen (DO) 5.9±1.0 mg/L, biological oxygen demand (BOD) 23.9±5.7 mg/L, NH3-N 2.5±0.3 mg/L, NO2-N 1.9±0.3 mg/L, NO3-N 1.2±0.3 mg/L, PO4-P 1.9±0.3 mg/L, SiO4 3.2±0.1 mg/L, Chlorophyll-a (Chl-a) 88.2±10.8 µg/L, and salinity 3.2±1.0 g/L. Principal component analysis showed that agricultural drainage water was the key factor influencing the water quality characteristics of Burullus Lake. Water quality index (WQI) varied between “Bad” to “Medium”, suggesting that the lake wasn’t suitable for irrigation and fish growth; however, it was appropriate for some aquatic life. A MIKE21 model was developed to provide a recommendation scenario that could be used to enhance the water quality of Burullus Lake. By improving the water quality of precise drains (namely drains 7 and 8), the WQI at Z4 and Z6 modified from “Bad” to “Medium”. The period required to achieve this self-purification was 5 months.  

Relationships among water quality, food resources, fish diet and fish growth in polyculture ponds: A multivariate approach

Aquaculture ◽  
2008 ◽  
Vol 275 (1-4) ◽  
pp. 108-115 ◽  
Author(s):  
M. Mustafizur Rahman ◽  
Leopold A.J. Nagelkerke ◽  
Marc C.J. Verdegem ◽  
M. Abdul Wahab ◽  
Johan A.J. Verreth
Keyword(s):  
Water Quality ◽  
Food Resources ◽  
Fish Growth ◽  
Fish Diet ◽  
Multivariate Approach ◽  
Quality Food

scholarly journals PLS REGRESSION TO COMPARE THE RELATIVE IMPORTANCE OF WATER QUALITY VARIABLES IN FISH GROWTH

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Job Ombiro Omweno ◽  
Albert Getabu ◽  
Paul Sagwe Orina ◽  
Simion Kipkemboi Omasaki ◽  
Wilfred Obwoge Zablon
Keyword(s):  
Water Quality ◽  
Fish Species ◽  
Fish Growth ◽  
Parameter Analysis ◽  
Pls Regression ◽  
Growth Difference ◽  
Ordinary Regression ◽  
Baseline Information ◽  
Novel Concept ◽  
Species Being

Partial least squares (PLS) is a multivariate dimension reduction technique which is not based on ordinary regression assumptions. The use of PLS regression in life sciences is still a novel concept despite many scientific applications. This paper analyses the influence of physicochemical in the two fish species, Oreochromis jipe and Oreochromis niloticus to determine the cause for their growth difference in the same culture environment. The graphical display of the multi-parameter analysis was performed using a suite of open access R-software packages. The modeling hypothesis was assessed using experimental data collected for the period of 84 days. The findings revealed that significant linear relationship exists between water quality and mean weight of both O. jipe and O.niloticus fish species. Being a crucial study meant to provide baseline information to asses the aquaculture potential O. jipe, we recommend a further study to be conducted on several other predictor variables that can be measured under controlled aquaculture conditions.

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