scholarly journals The Usage of Garlic Extract (Allium sativum) to Cure Pangasius Fish (Pangasius hypophthalmus) Infected by Aeromonas hydrophylla

2009 ◽  
Vol 8 (1) ◽  
pp. 91-100 ◽  
Author(s):  
Muslim Muslim ◽  
Hotly Maraulina ◽  
Harry Widjajanti
Keyword(s):  
Water Quality ◽  
Survival Rate ◽  
Dissolved Oxygen ◽  
Clinical Symptom ◽  
Allium Sativum ◽  
Quality Parameters ◽  
Garlic Extract ◽  
Water Quality Parameters ◽  
Percent Survival ◽  
Average Value

The purpose of this research was to know effectivity of the garlic extract to cure Pangasius catfish that infected by A. hidrophylla bacteria. This research was done on February to April 2007, at Aquaculture Laboratory FP UNSRI. This research used Completely Randomised Design (CRD) with five treatments and three replications. The concentration of the garlic extract that used were 0 % (control), 0.2 %, 0.4 %, 0.6 %, 0.8 %. The parameters inspected include SR of fish that infected; SR of fish had been treatment, Relative Percent Survival (RPS), clinical symptom and water quality. The highest survival rate percentage is treatments A4 (0.8 %) with average value 66.66 %. The best concentration of garlic extract that can heal the fish until ≥ 50 % (RPS value) from totally sample of fish were treatments A4 (0.8 %), A3 (0.6 %), and A2 (0.4 %). The clinical symptom after cure and care as long as fourteen days indicated in control (without garlic extract has been found hard damage bodies organ and the mortality fish effect, but in treatments A1 (0.2 %), A2 (0.4 %), A3 (0.6 %), and A4 (0.8 %) recover after submerged with garlic extract. The water quality parameters during experiment in each treatments such as temperature was 27 - 29 oC, pH 6-6.5, Dissolved Oxygen 5.24 - 6.87 mg/l, and Ammonia 0.09 - 0.46 mg/l.Keywords: garlic extract, pangasius fish, A. hydrophylla bacteria ABSTRAKTujuan penelitian ini untuk mengetahui efektivitas ekstrak bawang putih untuk mengobati penyakit bakterial pada ikan patin yang disebabkan A. hidrophylla. Penelitian ini dilaksanakan pada bulan Februari - April  2007, di Laboratorium Budidaya Perairan, FP UNSRI. Penelitian ini menggunakan rancangan acak lengkap,  5 perlakuan dan 3 ulangan.  Konsentrasi ekstrak bawang putih yang digunakan adalah  0 % (kontrol), 0,2 %, 0,4 %, 0,6 %, 0,8 %.  Parameter yang diamati meliputi SR ikan yang terinfeksi, SR ikan setelah diberi perlakuan, RPS, gejala klinis serta kualitas air. Persentase SR tertinggi pada perlakuan A4  (0,8 %) sebesar 66,66 %. Konsentrasi ekstrak bawang putih yang dapat menyembuhkan ikan sampai ≥ 50 % (nilai RPS) dari jumlah total ikan berturut-turut adalah perlakuan A4 (0,8 %), A3 (0,6 %), dan A2 (0,4 %).  Gejala klinis setelah pengobatan dan pemeliharaan selama 14 hari menunjukkan pada perlakuan kontrol (tanpa ekstrak bawang putih) terdapat kerusakan organ tubuh paling parah dan menyebabkan ikan mati, sedangkan pada perlakuan A1   (0,2 %), A2 (0,4 %), A3 ( 0,6 %), dan A4 (0,8 %), gejala klinis pada tubuh ikan berangsur sembuh setelah direndam dengan ekstrak bawang putih. Parameter kualitas air selama pemeliharaan pada masing-masing perlakuan yaitu suhu (27-29oC), pH (6-6,5), O2 terlarut (5,24-6,87 mg/l) dan amonia (0,09-0,46 mg/l).Kata kunci : ekstrak bawang putih,  ikan patin, bakteri A . hydrophylla. 

scholarly journals SUHU OPTIMAL UNTUK KELANGSUNGAN HIDUP PEMELIHARAAN LARVA IKAN BOTIA (Chromobotia macrachantus)

2018 ◽  
Vol 3 (2) ◽  
pp. 50
Author(s):  
Muarofah Ghofur ◽  
Muhammad Sugihartono ◽  
Husna Daya Aulia
Keyword(s):  
Water Quality ◽  
Survival Rate ◽  
Extreme Temperature ◽  
Living Organism ◽  
Temperature Treatment ◽  
Quality Parameters ◽  
Treatment Temperature ◽  
Water Quality Parameters ◽  
Optimum Temperature ◽  
High Level

Temperature is one of the most dominant water quality parameters on the survival of fish, and almost every living organism has the optimum temperature for its life. One of the obstacles in the cultivation activity is the high level of death in the most critical phase of the larvae so that the handling and carrying capacity of optimal environmental conditions can minimize the death of the larvae as well as the extreme temperature changes will also cause higher death rates of larvae. In the maintenance effort, the quality and quantity of the resulting larva becomes an important factor, as the success of production support to reach the next phase. Therefore, to find out the larval synthesis is done research about the optimum temperature with treatment temperature 240C, 260C, 280C and 300C to the survival of maintenance of botia larvae (Chromobotia macrachantus). The water quality parameters of CO2, NH3, DO, and pH are carried out at the beginning and end of the study for 28 days. The results showed that the highest survival rate at temperature treatment 240C and 260C with a value of 100%.Keywords : Botia Larvae, Temperature, Survival Rate AbstrakSuhu merupakan salah satu parameter kualitas air yang sangat dominan terhadap kelangsungan hidup ikan, dan hampir setiap organisme yang hidup didalamnya memiliki suhu optimum untuk kehidupannya. Salah satu kendala dalam kegiatan budidaya adalah tingginya tingkat kematian pada fase paling kritis yaitu larva sehingga penanganan dan daya dukung kondisi lingkungan yang optimal dapat meminimalisir kematian larva demikian pula dengan perubahan suhu yang ekstrim juga akan menyebabkan tingkat kematian larva semakin tinggi. Dalam upaya pemeliharaan, kualitas dan kuantitas larva yang dihasilkan menjadi faktor penting, sebagai penunjang keberhasilan produksi  hingga mencapai fase selanjutnya. Oleh karena itu, untuk mengetahui sintasan larva dilakukan penelitian mengenai suhu optimal dengan suhu perlakuan 240C, 260C, 280C dan 300C terhadap kelangsungan hidup pemeliharaan larva ikan botia (Chromobotia macrachantus). Parameter kualitas air yitu CO2, NH3, DO, dan pH dilakukan pada awal dan akhir penelitian yang dilakukan selama 28 hari. Hasil penelitian menunjukkan bahwa tingkat kelangsungan hidup tertinggi pada perlakuan suhu 240C dan 260C dengan nilai sebesar 100%.Kata Kunci : Larva Botia, Suhu,Tingkat Kelangsungan Hidup

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 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 Prediction of Optical and Non-Optical Water Quality Parameters in Oligotrophic and Eutrophic Aquatic Systems Using a Small Unmanned Aerial System

Drones ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 1 ◽  
Author(s):  
Juan G. Arango ◽  
Robert W. Nairn
Keyword(s):  
Water Quality ◽  
Multispectral Imaging ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
P Value ◽  
Unmanned Aerial System ◽  
Electromagnetic Spectrum ◽  
Linear Regression Models ◽  
Chl A ◽  
Average Value

The purpose of this study was to create different statistically reliable predictive algorithms for trophic state or water quality for optical (total suspended solids (TSS), Secchi disk depth (SDD), and chlorophyll-a (Chl-a)) and non-optical (total phosphorus (TP) and total nitrogen (TN)) water quality variables or indicators in an oligotrophic system (Grand River Dam Authority (GRDA) Duck Creek Nursery Ponds) and a eutrophic system (City of Commerce, Oklahoma, Wastewater Lagoons) using remote sensing images from a small unmanned aerial system (sUAS) equipped with a multispectral imaging sensor. To develop these algorithms, two sets of data were acquired: (1) In-situ water quality measurements and (2) the spectral reflectance values from sUAS imagery. Reflectance values for each band were extracted under three scenarios: (1) Value to point extraction, (2) average value extraction around the stations, and (3) point extraction using kriged surfaces. Results indicate that multiple variable linear regression models in the visible portion of the electromagnetic spectrum best describe the relationship between TSS (R2 = 0.99, p-value = <0.01), SDD (R2 = 0.88, p-value = <0.01), Chl-a (R2 = 0.85, p-value = <0.01), TP (R2 = 0.98, p-value = <0.01) and TN (R2 = 0.98, p-value = <0.01). In addition, this study concluded that ordinary kriging does not improve the fit between the different water quality parameters and reflectance values.

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 Economic evaluation of the impacts of water quality on fishery production in the Estuary Complex of Santos, São Vicente and Bertioga cities, in southeastern coast of Brazil

2020 ◽  
Vol 56 (1) ◽  
pp. 99-110
Author(s):  
Victor Carrozza Barcellini ◽  
Ângela Tavares Paes ◽  
Simone Georges El Khouri Miraglia
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Total Phosphorus ◽  
Linear Models ◽  
Quality Parameters ◽  
Sao Paulo ◽  
Water Quality Parameters ◽  
São Paulo ◽  
Fishing Activity ◽  
Monetary Loss

The present study proposes a diagnosis of water quality and fishery production in the Estuarine Complex of Santos, São Vicente, and Bertioga Cities as a requirement for economic valuation of water pollution impacts on fishing production. In the study period (2009–2014), three water quality parameters were identified (dissolved oxygen, total phosphorus, and nitrate), which occurred more frequently in non-conformity with Brazilian water standards, according to reports released by the Environmental Company of São Paulo State (Companhia Ambiental do Estado de São Paulo — CETESB). For data collection of fishery production, data from the monitoring of Institute of Fisheries of Santos City (Instituto de Pesca de Santos) were used, and 15 species were identified with higher occurrence in the study area. The relation between water quality parameters and fishery production was analyzed with mixed linear models, in which significant values for dissolved oxygen parameters, total phosphorus (positive relation), and nitrate (negative relation) were found. Environmental valuation considered only the direct use values (DUV) component of the valuation of fishery production variation in relation to water quality variation. For this purpose, the Marginal Productivity Method (MPM) of the dose-response function was used, which resulted in a range of monetary loss between US$ 24,760,550.22 and US$ 60,635,978.78. The obtained values represent only a portion of the valuation of economic and environmental loss in the fishing activity (part of DUV). Therefore, economic value calculated is conservative, and although it did not reached the total amount corresponding to all the impacts caused by poor water quality, given the limitations of methods and study period, the obtained values represent the minimum environmental monetary loss.

scholarly journals Effects of stocking density on growth performance, survival rate and economic efficiency of Asian seabass (Lates calcarifer) cultured in earthen pond

2020 ◽  
Vol 19 (05) ◽  
pp. 65-70
Author(s):  
Nhan T. Dinh
Keyword(s):  
Water Quality ◽  
Survival Rate ◽  
Growth Performance ◽  
Economic Efficiency ◽  
Quality Parameters ◽  
Fish Growth ◽  
Water Quality Parameters ◽  
Lates Calcarifer ◽  
Asian Seabass ◽  
Significant Difference

This trial aimed to evaluate effects of stocking densities of 1-5 fish/m2 on growth performance, survival rate and economic efficiency of Asian seabass (Lates calcarifer) in earthen ponds. Fish with an initial length of 90.7 ± 0.1 mm and weight of 20.8 ± 0.1 g/fish and ponds with 600 m2 each and 1.5 m depth were used for this study. Experiment was designed with three treatments, including different stocking densities of 1, 3 and 5 fish/m2. The fish was fed with pellete feed containing 43 - 44% crude protein. Water quality parameters including temperature, dissolved oxygen, pH, salinity, transparency and ammonia concentration were measured once a week. Fish were sampled every 30-day intervals for length and weight measurement then for their growth estimation. Costs were recorded for economic efficiency estimation. Results showed that the water quality parameters were in suitable ranges for growth and development of Asian seabass. The final average length and weight of density 1 fish/m2 was significantly higher than those at 3 and 5 fish/m2 (P < 0.05). However, there was no significant difference on the fish growth in terms of daily length and weight gain, as well as survival rate and feed conversion ratio between different stocking densities. Asian seabass culture at 3 and 5 fish/m2 resulted in a higher profit compared to at 1 fish/m2. The highest economic efficiency in terms of area pond was showed at 5 fish/m2 treatment.

scholarly journals Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations

2011 ◽  
Vol 15 (8) ◽  
pp. 2693-2708 ◽  
Author(s):  
A. Najah ◽  
A. El-Shafie ◽  
O. A. Karim ◽  
O. Jaafar
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Prediction Model ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Effective Parameters ◽  
Data Set ◽  
Proposed Model ◽  
Input Parameters ◽  
Predicted Values

Abstract. This study examined the potential of Multi-layer Perceptron Neural Network (MLP-NN) in predicting dissolved oxygen (DO) at Johor River Basin. The river water quality parameters were monitored regularly each month at four different stations by the Department of Environment (DOE) over a period of ten years, i.e. from 1998 to 2007. The following five water quality parameters were selected for the proposed MLP-NN modelling, namely; temperature (Temp), water pH, electrical conductivity (COND), nitrate (NO3) and ammonical nitrogen (NH3-NL). In this study, two scenarios were introduced; the first scenario (Scenario 1) was to establish the prediction model for DO at each station based on five input parameters, while the second scenario (Scenario 2) was to establish the prediction model for DO based on the five input parameters and DO predicted at previous station (upstream). The model needs to verify when output results and the observed values are close enough to satisfy the verification criteria. Therefore, in order to investigate the efficiency of the proposed model, the verification of MLP-NN based on collection of field data within duration 2009–2010 is presented. To evaluate the effect of input parameters on the model, the sensitivity analysis was adopted. It was found that the most effective inputs were oxygen-containing (NO3) and oxygen demand (NH3-NL). On the other hand, Temp and pH were found to be the least effective parameters, whereas COND contributed the lowest to the proposed model. In addition, 17 neurons were selected as the best number of neurons in the hidden layer for the MLP-NN architecture. To evaluate the performance of the proposed model, three statistical indexes were used, namely; Coefficient of Efficiency (CE), Mean Square Error (MSE) and Coefficient of Correlation (CC). A relatively low correlation between the observed and predicted values in the testing data set was obtained in Scenario 1. In contrast, high coefficients of correlation were obtained between the observed and predicted values for the test sets of 0.98, 0.96 and 0.97 for all stations after adopting Scenario 2. It appeared that the results for Scenario 2 were more adequate than Scenario 1, with a significant improvement for all stations ranging from 4 % to 8 %.

scholarly journals Tingkat dan laju penurunan kualitas air di DAS Brantas Malang Raya

2019 ◽  
Vol 5 (2) ◽  
pp. 185
Author(s):  
Ima Yudha Perwira
Keyword(s):  
Water Quality ◽  
Electrical Conductivity ◽  
Dissolved Oxygen ◽  
Organic Materials ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Decrease Rate ◽  
Better Than

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).

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