Water Quality In Fish Ponds Research Articles

Water Quality Monitoring for Smart Farming Using Machine Learning Approach

Water quality in fish farming environments has been a topic of research investigation for numerous years. While most studies have concentrated on managing water quality in fish ponds, there is a lack of research on implementing these practices on a commercial scale. Maintaining good water quality helps prevent disease, stress, and death in fish, resulting in higher yields and profits in fish farming operations. In our study, we gathered weekly data from two fish ponds in the Lintangsongo smart farming area over six months. To deal with the limited dataset, we utilized methods for reducing dimensionality, like the pairwise comparison of correlation matrices to eliminate the highest correlated predictors. We used techniques of feature selection, including XGBoost classification, and apart from that, we used Recursive Feature Elimination (RFE) to determine the importance of features. This analysis identified ammonium and calcium as the top two predictors. These nutrients played a vital role in maintaining the paired cultivation system and promoting the robust development of Nile tilapia fish and water spinach. This process of detecting and distributing nutrients persists until the desired quantities of ammonium and calcium are reached. During each cycle, 0.7 g of ammonium sulfate and calcium nitrate are distributed, and the nutrient levels are assessed. Vernier sensors were employed for assessing nutrient values, and a system of actuators was integrated to supply the necessary nutrients to the smart farming environment using the closed-loop concept. This research investigates water quality management practices in fish farming, assesses their impact on fish health and profitability, identifies key water quality predictors, and implements a closed-loop system for nutrient delivery.

Early Warning System Of Water Quality Changes In Fishponds

This study aims to develop an early warning system for changes in water quality in fish ponds using the MQTT and Telegram Bot protocols. Poor water quality can cause significant economic losses in fish farming. Therefore, a system is needed that can accurately and quickly detect changes in water quality and provide warnings to fish farmers. The method used in this study involves the installation of sensors that are connected to a microcontroller and a communication system using the MQTT protocol. The sensors used include temperature sensors, pH sensors, turbidity sensors, water level sensors, and salinity sensors. The data obtained from these sensors will be sent via the MQTT protocol to the server connected to Telegram Bot. Telegram Bot is used as an interface for users. This bot will receive data from the server and perform processing to evaluate the water quality in fish ponds. If a significant change in water quality parameters is detected, the bot will send an early warning to fish farmers via Telegram messages. Fish farmers can receive these alerts on their mobile devices, so they can quickly take the necessary action to improve water conditions. The results of this study indicate that the developed early warning system can provide fast and accurate warnings of changes in water quality in fish ponds. With this system, fish farmers can take the necessary actions to prevent losses caused by changes in water quality before more serious damage occurs. In addition, the use of Telegram as a communication platform allows fish farmers to receive alerts on their mobile devices, which increases the responsiveness and convenience of water quality monitoring.

Sistem Monitoring Kualitas Air Pada Pembudidayaan Ikan Air Tawar Menggunakan ESP 32 dan ESP 8266

Indonesia is one of the countries that has natural resources in the form of abundant water; these geographical conditions can be utilized to support the growth and development of fish farming businesses in Indonesia; production results are very dependent on fish cultivation methods in freshwater fish, water quality is one of the most important factors in fish farming because it has an impact on fish quality and production, several parameters such as pH, temperature, and water turbidity are one of the influential factors in the success of freshwater fish farming. In this study, a system was built that could record water quality in fish ponds in real-time and monitor water conditions in fish ponds using several sensors, including a pH-4502C sensor to measure pH, a DS18B20 sensor to measure temperature, and a turbidity sensor to detect water turbidity. The test results obtained an accuracy of the reading value of 95.00% for pH, 97.33% for temperature, and 90.53% for turbidity. All data obtained by the sensor will be displayed on the website page as an interface, and the Telegram application will send and display Notifications of water conditions to cellphone cultivators.

Preparation of Copper Nanoparticles/Diatomite Nanocomposite for Improvement in Water Quality of Fishponds

Diatomite (DA) with the main component of silica (SiO2) was chemically modified by amine groups of the coupling agent 3-amino propyl triethoxysilane (APTES) before deposition of Cu2+ ions. The mixture of DA-APTES and Cu2+ ions in the chitosan stabilizer (1%) was added with ascorbic acid and purged oxygen by N2O for antioxidation before irradiation. Cu2+ ions were reduced to Cu0 and aggregation into copper nanoparticles (CuNPs) on DA by an electron beam (EB). Characterizations of CuNPs onto DA were determined by inductively coupled plasma-atomic emission spectroscopy (ICP-AES), UV-Vis spectra, transmission electron micrography (TEM), Fourier transform infrared (FT-IR) spectra, and BET-specific surface area. A nanocomposite of CuNPs/DA with the porous structure of DA is capable of improving the water quality by adsorption of organic pollutants and suspended solids. Therefore, the values of chemical oxygen demand (COD) and biochemical oxygen demand (BOD5) decreased for samples of fishpond water after treatment with CuNPs/DA. Antibacterial activity of CuNPs/DA nanocomposite against pathogenous bacteria for catfish such as Aeromonas hydrophila and Edwardsiella ictaluri was estimated.

Using the natural zeolite (clinoptiolite) in removing ammonia, heavy metals and improving water quality in fish ponds

Using the natural zeolite (clinoptiolite) in removing ammonia, heavy metals and improving water quality in fish ponds

Negative effects of undesirable fish on common carp production and overall structure and functioning of fishpond ecosystems

Planktivorous undesirable fish may threaten both fishpond ecosystem functioning and common carp ( Cyprinus carpio ) farming. The present study revealed a mechanistic understanding of the adverse ecosystem and production impacts that topmouth gudgeon ( Pseudorasbora parva ), an invasive omnivorous fish species from Asia, could represent for eutrophic fishponds in South Bohemia (Czechia). In an outdoor experiment conducted under natural conditions, six similar ponds of small size (ca. 1 ha) were similarly stocked with the same size-class common carps (1+ year-old age cohort). Three ponds were additionally stocked with heterogenous size-class of topmouth gudgeon, other three were control ponds (stocked solely with common carp). Our sampling covered one vegetation season from March to September 2020. Environmental parameters, fish and zooplankton assemblage were sampled monthly, while zoobenthos bimonthly (in April, June and August). To assess the potential effect of overall fish predation and its change during the season, we calculated a fish stock index combining fish density and biomass at the time, referred as FSI C for stocked fish (common carp) and FSI U for undesirable fish (topmouth gudgeon). Some tenfold increase in FSI U reflected an overall effect of topmouth gudgeon predation. Significantly ( p < 0.05) lower FSI C indeed indicated the adverse effect of topmouth gudgeon on the carp populations compared to the control ponds since August. Our results clearly showed a significant top-down effect of topmouth gudgeon on planktonic crustaceans, especially large Daphnia spp. and other cladoceran species. The complete elimination of cladocerans in the second half of the growing season probably contributed to impaired growth of carp and increased consumption of zoobenthos observed in the undesirable fishponds. Our study suggested indeed that water transparency, often used as a simple indicator of water quality in fishponds, did not correspond well with the ecological status, not even biodiversity, of the fishponds under study. The voracious undesirable fish overexploited zooplankton and significantly out-competed commercially reared common carp, which then switched more to foraging on zoobenthos. Thus, efficient eradicating undesirable fish seems to be a superior tool for overall restoring the eutrophic fishpond ecosystems and improving their ecological status. • Voracious undesirable fish cause a threat to carp production and fishpond ecosystem. • Planktivorous fish out-compete carp, which then switch to foraging on zoobenthos. • Eradicating undesirable fish is a superior tool for restoring eutrophic fishponds.

Artificial floating islands as a tool for the water quality improvement of fishponds

In this study, the ecotechnology artificial floating islands (AFIs), colonized by Eichhornia crassipes, have been tested as a tool for water quality improvement of fishponds. The experiment was carried out in semi-intensive production during the grow-out period of Nile tilapia, comprising one production cycle. It was completely randomized with two treatments (with and without AFIs) and three replications. Temperature, dissolved oxygen, conductivity, pH, turbidity, total dissolved solids (TDS), transparency (Secchi) and concentrations of chlorophyll a (CL a), total nitrogen (TN), total ammonia nitrogen (TAN), total phosphorus (TP) and orthophosphate (PO43--P) were analyzed fortnightly in the fishponds. Two groups ordered based on environmental characteristics were formed by applying the Principal Component Analysis (70.68% of explicability). The fishponds with AFIs were assigned to higher values of Secchi and lower values of pH, turbidity, TDS and concentrations of nutrients. On the other hand, the fishponds without AFIs were assigned to the highest values of these variables, except for Secchi. In 30 days, the AFIs showed the lowest concentrations of TP and PO43--P, and for CL a, TN and TAN, the differences were recorded after 90 days. The use of AFIs has demonstrated potential to conserve water quality in fishponds, notably for biologically assimilable elements (PO43--P and TAN) and for those directly related to eutrophication (P and N). Artificial floating islands should be encouraged for small and medium-sized farmers as tool to improve water quality in fishponds. However, new AFIs coverage rates must be evaluated, as well as the control of hydraulic retention rates.&#x0D; Keywords: aquaculture, ecotechnology, free-floating aquatic macrophytes.

E-Ox Level: Sustainability Test of Data Storage System and Performance Test on Closed System Fish Pond

Fish farming using a closed system is very susceptible to death in a chain because it does not change the water so that the water quality decreases relatively quickly. To solve this problem, they generally use a circulation pump machine and an aerator machine to add oxygen levels, so that water quality remains stable. E-Ox Level is a research technology that has been tested and is able to work continuously. Its function is to monitor water quality and control the aerator machine's on and off activity based on timing and dissolved oxygen levels. The power source used by E-Ox Level is solar energy. So that this technology can save energy and is environmentally friendly, because it does not use PLN electricity. This research is an advanced stage process from the previous E-Ox Level technology design engineering. The purpose of this research is to see the ability of E-Ox Level technology when monitoring and storing water quality data continuously, as well as controlling the stability of fish pond water quality conditions. so that it can produce fish that are better than natural treatments. The method used in this research is to make observations in the Budidkdamber pond for three months with the stages of seeing the suitability of the data displayed on the LCD, and stored on the SD Card, as well as comparing the growth of catfish in ponds with E-Ox Level installed, AC Aerator installed, and the control pool. Next, observe the harvest in the biofloc pond for three months. From the observations in the Budikdamber pond, the complete data is stored on the SD Card from January 25 to April 8, 2021. Fish growth using E-Ox Level and AC Aerator is better and faster than the control pond. Fish yields in biofloc fish ponds that were paired with E-Ox Level experienced an increase in harvest weight of catfish by 0.17% from the previous period, when the pond did not use E-Ox Level.

The Sustainable Treatment Effect of Constructed Wetland for the Aquaculture Effluents from Blunt Snout Bream (Megalobrama amblycephala) Farm

In aquaculture, constructed wetland (CW) has recently attracted attention for use in effluent purification due to its low running costs, high efficiency and convenient operation,. However, less data are available regarding the long-term efficiency of farm-scale CW for cleaning effluents from inland freshwater fish farms. This study investigated the effectiveness of CW for the removal of nutrients, organic matter, phytoplankton, heavy metals and microbial contaminants in effluents from a blunt snout bream (Megalobrama amblycephala) farm during 2013–2018. In the study, we built a farm-scale vertical subsurface flow CW which connected with a fish pond, and its performance was evaluated during the later stage of fish farming. The results show that CW improved the water quality of the fish culture substantially. This system was effective in the removal of nutrients, with a removal rate of 21.43–47.19% for total phosphorus (TP), 17.66–53.54% for total nitrogen (TN), 32.85–53.36% for NH4+-N, 33.01–53.28% NH3-N, 30.32–56.01% for NO3−-N and 42.75–63.85% for NO2−-N. Meanwhile, the chlorophyll a (Chla) concentration was significantly reduced when the farming water flowed through the CW, with a 49.69–62.01% reduction during 2013–2018. However, the CW system only had a modest effect on the chemical oxygen demand (COD) in the aquaculture effluents. Furthermore, concentrations of copper (Cu) and lead (Pb) were reduced by 39.85% and 55.91%, respectively. A microbial contaminants test showed that the counts of total coliform (TC) and fecal coliform (FC) were reduced by 55.93% and 48.35%, respectively. In addition, the fish in the CW-connected pond showed better growth performance than those in the control pond. These results indicate that CW can effectively reduce the loads of nutrients, phytoplankton, metals, and microbial contaminants in effluents, and improve the water quality of fish ponds. Therefore, the application of CW in intensive fish culture systems may provide an advantageous alternative for achieving environmental sustainability.

IoT-based Automatic Fish Pond Control System

Aquaculture is a potential sector to be developed by the people of Indonesia considering that Indonesia's territory is dominated by the sea. Based on data released by the Directorate General of Aquaculture in 2015, the level of fish consumption projected increase up to 54.49 kg/capita/year. One important factor influencing the success of aquaculture is water quality. Some physical parameters to describe water quality include temperature, degree of acidity, dissolved oxygen and turbidity. The case of the death of thousands of fish in Cirebon due to hot temperatures reaching 36 degrees Celsius in November 2015 is one proof that monitoring and control of pond water quality has not been done properly. It will cause huge losses for fisheries. With research and development methods researcher design a tool called SENDAL IKAN. This tool has 7 sensors that can control water quality in fish ponds in real time from phone and can activate automatic responses directly and through applications on mobile phones if there is an indication that the water quality is outside normal limits. That way fish farmers will be easier to control and will not be too late to handle problems related to fish pond water quality.

Portable System for Coastal Fishpond Water Quality Telemonitoring Continuously

Portable System for Coastal Fishpond Water Quality Telemonitoring Continuously

A Proposed Model of Fishpond Water Quality Measurement and Monitoring System based on Internet of Things (IoT)

Aquaculture in Malaysia is now being promoted as an important engine of growth and eventually becoming the pillar of the economy of the nation. However, healthy fish production requires intensive care, and to ensure a stable and healthy production environment inside the fishpond is a challenging task. While cultivating aquatic organisms, water quality is a critical factor. It depends mainly on various parameters such as dissolved oxygen, ammonia, pH, temperature, salt, nitrates, carbonates, etc. In most places, this testing is performed by fishpond farmers manually or by researchers through laboratory testing where there is no real-time monitoring. Today, with the advancement of the Internet of Things (IoT) and sensors, the technology is reaching the ground level with its application uses in agriculture and aquaculture. It is highly desirable to have an IoT - based automated system that can continuously measure and monitor fishpond with optimum utilization of resources. This paper proposes a model for real time measurement and monitoring system based on IoT technology for measuring and monitoring the water parameters in fishpond. We used a qualitative method to investigate perceptions, experiences, and ideas of fishpond farmers in order to propose the model. With the help of the proposed model, the quality of water can be continuously measured and monitored to ensure the growth and survival of fish in pond. As a result, preventive action can be taken in a timely manner to minimize losses and increase productivity.

The Effect of Compost Application in the Silvofishery Pond with Different Mangrove Species on the Phytoplankton Community

The effort in improving water quality of fishponds could be conducted with various methods, including the integration of mangrove trees known as silvofishery. However, an additional method could be applied by deploying compost. This research aimed to study the distribution of phytoplankton community in the silvofishery pond and to analyze the impact of compost application in the silvofishery pond planted with different mangrove species. The research was conducted in September 2017. Three silvofishery ponds planted with mangrove species Avicennia marina, Rhizophora mucronata and mixed of both and one control pond were utilized. Compost was deployed in the silvofishery pond as much as 2 kg for 25 m2 area. The sampling of phytoplankton was conducted one week after the compost deployment. Data analysis was conducted for diversity index, while statistical analysis was conducted by chi-square. The result showed that the deployment of compost could slightly improve water quality. There were only five phytoplankton species with total density of 85 ind.l−1 in the control pond, while ponds with A. marina, R. mucronata and mixed of mangrove consisted of 7 species (155 ind.l−1), 7 species (119 ind.l−1) and 5 species (103 ind.l−1) respectively. Diversity index showed medium values (1.56-1.95) with high evenness values (0.97 – 1.0). Chi-square analysis showed that each treatment has a significantly different composition of phytoplankton.

Kū Hou Kuapā: Cultural Restoration Improves Water Budget and Water Quality Dynamics in Heʻeia Fishpond

In Hawaiʻi, the transition from customary subsistence flooded taro agroecosystems, which regulate stream discharge rate trapping sediment and nutrients, to a plantation-style economy (c. the 1840s) led to nearshore sediment deposition—smothering coral reefs and destroying adjacent coastal fisheries and customary fishpond mariculture. To mitigate sediment transport, Rhizophora mangle was introduced in estuaries across Hawaiʻi (c. 1902) further altering fishpond ecosystems. Here, we examine the impact of cultural restoration between 2012–2018 at Heʻeia Fishpond, a 600–800-year-old walled fishpond. Fishpond water quality was assessed by calculating water exchange rates, residence times, salinity distribution, and abundance of microbial indicators prior to and after restoration. We hypothesized that R. mangle removal and concomitant reconstruction of sluice gates would increase mixing and decrease bacterial indicator abundance in the fishpond. We find that Heʻeia Fishpond’s physical environment is primarily tidally driven; wind forcing and river water volume flux are secondary drivers. Post-restoration, two sluice gates in the northeastern region account for &gt;80% of relative water volume flux in the fishpond. Increase in water volume flux exchange rates during spring and neap tide and shorter minimum water residence time corresponded with the reconstruction of a partially obstructed 56 m gap together with the installation of an additional sluice gate in the fishpond wall. Lower mean salinities post-restoration suggests that increased freshwater water volume influx due to R. mangle removal. Spatial distribution of microbial bio-indicator species was inversely correlated with salinity. Average abundance of Enterococcus and Bacteroidales did not significantly change after restoration efforts, however, average abundance of a biomarker specific to birds nesting in the mangroves decreased significantly after restoration. This study demonstrates the positive impact of biocultural restoration regimes on water volume flux into and out of the fishpond, as well as water quality parameters, encouraging the prospect of revitalizing this and other culturally and economically significant sites for sustainable aquaculture in the future.

Physico-chemical parameters of Itahari sub-metropolitan fish pond, Nepal

Itahari Sub-metropolitan pond is located in the centre of the city. Influence of variations in physico-chemical parameters on aquatic flora and fauna especially in fishes brought strong stress on fishes and increases the incidence of diseases leading to high mortality. Due to lack of adequate knowledge about it, productivity of ponds is very low. In the present study, maximum and minimum variations and correlation between different physico-chemical parameters - air temperature, water temperature, pH, turbidity, total dissolved solids, dissolved carbon dioxide, ammonia, dissolved oxygen, biological oxygen demand, chloride, total alkalinity, total hardness and phosphate were taken into consideration. The water quality of fish ponds were normal except high fluctuation of chloride 4.0 - 44.87mg/l and ammonia 0.48-13.6 mg/l during manuaring period and casual addition of wastes like toilet cleaners, caustic potash etc.. Due to sudden fall in DO less than 4 mg/l during April and May, 2014 and increment of ammonia after addition of toilet wastes in Sept.19, 2015 ; mass mortality of fishes Labeo rohita, Cirrhina mrigala, Hypothalamichthys molitrix, Aristichthysnobilis occurred in the study site.

Effect of Water Management Technology Used in Trout Culture on Water Quality in Fish Ponds

Pond management requires that a specific fish culture is conducted while taking into account both production possibilities and profitability, as well as the impact it may have on the natural environment. This study aimed to evaluate the effect of three water management systems used in rainbow trout culture on water quality in fish ponds. It was conducted at six trout farms and differing in water management strategy. After water had flown through the fishing ponds, its quality was significantly less impaired at farms operating in the flow and cascade systems. In turn, waters discharged from farms using the recirculation system were characterized by the poorest quality and lowest values on the Water Quality Index (WQI). It was found that the flow and cascade systems can be used to maintain the water quality and give less fish mortality for trout. It has been shown that the use of a water recirculation system in rainbow trout cultures significantly affects the quality of water in fishponds and can potentially lead to suppression of fish resistance and in extreme cases, to fish death. This study will help fish farmers in choosing the optimal variant of water management, taking into account both the best fish health with the least negative impact of fish farms on the environment.

Effect of water quality on the parasite assemblages infecting Nile tilapia in selected fish farms in Nakuru County, Kenya.

Aquaculture has been documented as the fastest developing food industry in Kenya with increased production since the Government initiated the Economic Stimulus Programme (ESP) in 2009. However, the production has not yet reached the maximum level (20,000metrictons per year) anticipated in the country. This is due to a number of challenges, top of which is poor water quality resulting from the uncontrolled addition of inputs (fish feeds, inorganic fertilizers, and organic fertilizers) into the ponds. These deteriorate water quality, cause increased incidences of parasite infections, and impede fish production. Therefore, this study investigated the effect of water quality on parasite assemblages infecting Oreochromis niloticus (Linnaeus 1758) in selected fish farms within Nakuru County from November 2016 to February 2017. Selected physico-chemical parameters namely: dissolved oxygen, temperature, pH, conductivity, and turbidity were measured in situ using appropriate meters. Water samples from each fish farm were analyzed for nutrient concentrations using standard methods. A total of 300 fish were examined for parasites. Parasites were counted, preserved, and identified using identification keys and parasitological parameters determined. The results indicated that certain water quality parameters, such as dissolved oxygen, were significantly different for all the six fish farms (one-way ANOVA, p < 0.05). A total of 15 species of parasites were recovered. Trichodina sp. and Cichlidogyrus halli were found in all the studied fish farms. Correspondence analysis revealed that some parasites' occurrences were highly correlated (positively) with certain water quality parameters. Therefore, regular monitoring and control of water quality in fish ponds are recommended to reduce levels of parasite infestations.

Water quality parameters and tipping points of dragonfly diversity and abundance in fishponds

Fishponds are often enriched with nutrients in order to increase phytoplankton and zooplankton populations to support fish production. This eutrophication often leads to a global decrease of biodiversity. This biodiversity shift may be identified by a tipping point, the value of an environmental parameter above which a significant change of species richness and abundance occurs. A total of 110 eutrophic to highly eutrophic fishponds were studied in two areas in France to investigate parameters governing dragonfly species richness and species abundance by determining tipping points. Parameters investigated were chlorophyll a (CHL), water transparency, total N (TN), total P (TP), aquatic plant richness and coverage, adult dragonfly richness and abundance, and fish harvest. A high species richness of dragonflies was found in fishponds, with a total of 34 species, including six species of conservation concern. Dragonfly richness and abundance was shown to be negatively influenced by higher degrees of eutrophication. A high diversity of dragonflies occurred in the fishponds with CHL concentrations below 127 µg/l, water transparency above 67 cm, TN concentrations below 2.30 mg/l, and a fish harvest smaller than 253 kg/ha. A minimum of 5% of aquatic plant cover and the presence of a minimum 9 aquatic plant species seem to promote the richness and abundance of dragonflies. According to tipping points, 19 dragonfly species could be determined as indicator species for water quality in fishponds.

Nutrient modeling for a semi-intensive IMC pond: an MS-Excel approach.

Semi-intensive Indian Major Carp (IMC) culture was practised in polythene lined dugout ponds at the Aquacultural Farm of Indian Institute of Technology, Kharagpur, West Bengal for 3 consecutive years at three different stocking densities (S.D), viz., 20,000, 35,000 and 50,000 numbers of fingerlings per hectare of water spread area. Fingerlings of Catla, Rohu and Mrigal were raised at a stocking ratio of 4:3:3. Total ammonia nitrogen (TAN) value along with other fishpond water quality parameters was monitored at 1 day intervals to ensure a good water ecosystem for a better fish growth. Water exchange was carried out before the TAN reached the critical limit. Field data on TAN obtained from the cultured fishponds stocked with three different stocking densities were used to study the dynamics of TAN. A developed model used to study the nutrient dynamics in shrimp pond was used to validate the observed data in the IMC pond ecosystem. Two years of observed TAN data were used to calibrate the spreadsheet model and the same model was validated using the third year observed data. The manual calibration based on the trial and error process of parameters adjustments was used and several simulations were performed by changing the model parameters. After adjustment of each parameter, the simulated and measured values of the water quality parameters were compared to judge the improvement in the model prediction. Forward finite difference discretization method was used in a MS-Excel spreadsheet to calibrate and validate the model for obtaining the TAN levels during the culture period. Observed data from the cultured fishponds of three different S.D were used to standardize 13 model parameters. The efficiency of the developed spreadsheet model was found to be more than 90% for the TAN estimation in the IMC cultured fishponds.

Using desulfurization slag as the aquacultural amendment for fish pond water quality improvement: Mechanisms and effectiveness studies

The objective of this study was to evaluate the potential of applying desulfurization slag (DS) as pavement materials and amendments in the aquacultural industry for water quality improvement. The results of characteristic analyses and a mobile factor calculation show that the bonding patterns of heavy metals in DS were stable and had low bioavailability and mobility. DS can effectively adsorb ammonia and phosphate according to the pseudo second-order kinetics model. The adsorption isotherm for ammonia can be described by the Langmuir model. Both the Langmuir and Freundlich models can be used for phosphate adsorption isotherm evaluation. Ammonia adsorption involved physical adsorption, and the mechanisms for phosphate removal included adsorption and chemical precipitation. The adsorption of ammonia by DS was a non-spontaneous endothermic process, and the adsorption of phosphate was a spontaneous exothermic process. The results from excitation emission fluorescence matrix analysis show that the organic substances in the fish pond with DS addition included a soluble microbial product, protein-like substance, and humic acid-like substance. This indicates that algal growth and biomass accumulation could be enhanced by DS addition because the released trace elements and hydroxide ions from DS are beneficial to algal growth. Using DS as an amendment and construction material for the fish pond would increase the water alkalinity and prevent acidification of pond water. The results indicate that DS can be used in the aquacultural industry as construction material as well as for pH control and algal growth enhancement.