Wastewater Pond Research Articles

Geoenvironmental assessment of the mut wastewater ponds in the Dakhla Oasis, Egypt

Disposal and accumulation of agricultural and sanitary wastewater in poorly engineered ponds in the Mut region, Dakhla Oasis of Egypt is a concern due to their poor water quality; significant expansion over a large spatial area, and their consequential impact on the environment. GIS and remote sensing were useful tools for determining spatiotemporal and the impact of wastewater ponds and land use/cover. The objective of this study is to map wastewater ponds and land use/cover changes over the period of 1984 to 2019. For this purpose, multi-temporal Landsat chronological images were used to assess the spatiotemporal activities. The findings indicated that the total area of wastewater bodies were about 1.79 km2 in 1984, 3.92 km2 in 2000, and 7.91 km2 in 2019. This progressive spatial growth is a response to irresponsible usage of groundwater. Several environmental impacts were noticed, including depletion of the groundwater table, and soil salinization is one aspect of land degradation process. Finally, this study proposes implementation of a strict groundwater resource conservation act, preventing uncontrolled irrigation flooding and suggesting suitable low water consumption agricultural crops.

Suitability of Nansha Mangrove Wetland for High Nitrogen Shrimp Pond Wastewater Treatment.

To investigate mangroves of different land use types in Nansha county, China, we analyzed the corresponding N2O and CH4 emissions, water temperature, salinity, acidity and alkalinity, dissolved oxygen, redox potential, nitrate, nitrite, ammonia nitrogen, and organic matter at five sites. The removal rates of NO2-, NO3-, and NH4+ in mangrove wetlands were 43.6%, 41.2%, and 65.0%; however, CH4 and N2O emissions of mangrove affected by shrimp ponds are 2-3 times and 3-9 times more high than other wetlands. These results showed that, although mangrove wetlands can significantly reduce N, P, and other nutrient elements in shrimp pond wastewater, they can also significantly increase N2O and CH4 emissions. This indicates that mangrove wetlands should be used with caution for the treatment of shrimp pond wastewater.

The Diversity of Nitrogen-Cycling Microbial Genes in a Waste Stabilization Pond Reveals Changes over Space and Time that Is Uncoupled to Changing Nitrogen Chemistry

Nitrogen removal is an important process for wastewater ponds prior to effluent release. Bacteria and archaea can drive nitrogen removal if they possess the genes required to metabolize nitrogen. In the tropical savanna of northern Australia, we identified the previously unresolved microbial communities responsible for nitrogen cycling in a multi-pond wastewater stabilization system by measuring genomic DNA and cDNA for the following: nifH (nitrogen fixation); nosZ (denitrification); hzsA (anammox); archaeal AamoA and bacterial BamoA (ammonia oxidation); nxrB (nitrite oxidation); and nrfA (dissimilatory NO3 reduction to NH3). By collecting 160 DNA and 40 cDNA wastewater samples and measuring nitrogen (N)-cycling genes using a functional gene array, we found that genes from all steps of the N cycle were present and, except for nxrB, were also expressed. As expected, N-cycling communities showed daily, seasonal, and yearly shifts. However, contrary to our prediction, probes from most functional groups, excluding nosZ and AamoA, were different between ponds. Further, different genes that perform the same N-cycling role sometimes had different trends over space and time, resulting in only weak correlations between the different functional communities. Although N-cycling communities were correlated with wastewater nitrogen levels and physico-chemistry, the relationship was not strong enough to reliably predict the presence or diversity of N-cycling microbes. The complex and dynamic response of these genes to other functional groups and the changing physico-chemical environment provides insight into why altering wastewater pond conditions can result an abundance of some gene variants while others are lost.

Harvesting Microalgal Biomass from a Cultured Algae-Based Wastewater Pond System

AbstractWastewater stabilization ponds (WSPs) are a popular and economical method to treat wastewater. In the current study, algae-treated effluent from WSPs was used to compare microalgal biomass ...

A global-scale data set of mining areas

The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10 km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277 km2. The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure. The data set is available for download from https://doi.org/10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer.

Baseline assessment of water quality and ecological indicators in Penaeus vannamei farm wastewater along the Southeast coast of India

The present study aimed to investigate the water quality characteristics and the ecological indicators of wastewater of white legged shrimp Penaeus vannamei ponds along the Southeast coast of India. The wastewater samples were collected from 15 shrimp farms covering 11 districts located along the coastal line of Tamil Nadu and Puducherry, India. By adopting standard methods, the collected samples were subjected to analyses of physico-chemical and biological characteristics, especially the microbial load and metal and plankton composition. The nitrate-nitrogen, ammonia-nitrogen, THB, TCB, and Cu concentrations of the samples were found to exceed the permissible limit as recommended by WHO, USEPA, CPCB, and CAA. Principal component analysis and canonical correspondence analysis have suggested that the phosphate, nitrate, silicate, ammonia, and total phosphorus are the important chemical factors. The generated data would be of interest to farmers for their shrimp crop management vis-à-vis culture pond wastewater treatment.

A Review of the Artificial Neural Network Models for Water Quality Prediction

Water quality prediction plays an important role in environmental monitoring, ecosystem sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear and non-stationarity of water quality well. In recent years, the rapid development of artificial neural networks (ANNs) has made them a hotspot in water quality prediction. We have conducted extensive investigation and analysis on ANN-based water quality prediction from three aspects, namely feedforward, recurrent, and hybrid architectures. Based on 151 papers published from 2008 to 2019, 23 types of water quality variables were highlighted. The variables were primarily collected by the sensor, followed by specialist experimental equipment, such as a UV-visible photometer, as there is no mature sensor for measurement at present. Five different output strategies, namely Univariate-Input-Itself-Output, Univariate-Input-Other-Output, Multivariate-Input-Other(multi), Multivariate-Input-Itself-Other-Output, and Multivariate-Input-Itself-Other (multi)-Output, are summarized. From results of the review, it can be concluded that the ANN models are capable of dealing with different modeling problems in rivers, lakes, reservoirs, wastewater treatment plants (WWTPs), groundwater, ponds, and streams. The results of many of the review articles are useful to researchers in prediction and similar fields. Several new architectures presented in the study, such as recurrent and hybrid structures, are able to improve the modeling quality of future development.

Increasing CO2 concentration impact upon nutrient absorption and removal efficiency of supra intensive shrimp pond wastewater by marine microalgae Tetraselmis chui

The objective of this study was to investigate the effect of increasing CO2 concentration on the growth and the capability of Tetraselmis chui. in removal of nitrate, ammonium and phosphate from shrimp pond wastewater (SPWW). The factorial experimental design was used with the treatment of SPWW percentage in culture medium, namely: 100% SPWW, 75% SPWW + 25% Sea Water (SW) and 75% SW + 25% SPWW coupled with three CO2 concentration treatments: 390 ppm, 550 ppm and 1000 ppm using CO2 system. Growth of T. chui. for lengh of cultivation period tended to be higher at treatments of 390 ppm CO2 and 100% SPWW, however there was a declining growth over period of cultivation for both treatments. The growth rate of T. chui was higher for all percentage of SPWW treatments in culture medium at 390 ppm CO2 concentration compared to other percentage of SPWW treatments and CO2 concentration treatments. There was a decreasing of growth rate with increasing CO2 concentration at 100% SPWW and 75% SPWW + 25% SW in culture medium. Nitrogen removal efficiency and removal rate by T. chui. were strongly affected by CO2 concentration. However, there was no significant effect of increasing CO2 concentration to removal efficiency and rate of PO4 by T. chui.

A coupled RTD and mixed-order kinetic model to predict high rate algal pond wastewater treatment under different operational conditions: Performance assessment and sizing application

A coupled residence time distribution (RTD) and mixed-order model was developed to simulate the performance of a pilot high rate algal pond (HRAP) for wastewater treatment under different operational conditions requiring simple influent and effluent wastewater characteristics as input data. The model showed potential in general assessment of the HRAP system performance, successfully capturing the magnitude as well as general trend of COD, TKN, TN and TP concentrations with acceptable accuracy (Nash-Sutcliffe Efficiency (NSE) value up to 0.99). However, due to the common limitation of black box model type, the detailed agreement between model and experimental data was highly varied, sometime unsatisfactory performance (NSE < 0) was obtained, especially for highly complex processes like TKN or TN removal. Besides, general information on the dynamics of algal bacterial processes under different operational conditions could be revealed by analyzing calibrated reaction order n and reaction rate constant kn values with higher n value corresponding to higher complexity of the process and higher kn values associating with higher removal rate. Moreover, the model could also be used as a quick and convenient support for HRAP design and construction by providing estimated hydraulic retention time (HRT) values required for single HRAP system treating wastewater in different case studies. Further validation with outdoor HRAP system is necessary to increase the accuracy of the model prediction.

Measuring photosynthesis of both oxygenic and anoxygenic photosynthetic organisms using pulse amplitude modulation (PAM) fluorometry in wastewater ponds

Oxygenic photosynthesis can be measured easily using O2 or CO2 gas exchange, oxygen electrodes, Winkler titration, 14CO2-fixation and by PAM (pulse amplitude modulation) fluorometry. PAM estimates the photosynthetic electron transport rate (ETR) by measuring the variable fluorescence of chlorophyll (Chl) a (> 695 nm) induced by absorption of blue or red light. Anoxygenic photosynthetic bacteria (APB) do not use water as an electron source and are typically photoheterotrophic rather than photoautotrophic and so 14CO2 fixation is a misleading estimate of photosynthetic electron transport in APB photosynthesis. In vivo bacteriochlorophyll a (BChl a) absorbs blue light similar to Chl a but its characteristic longer-wavelength absorption is in the infrared and fluorescence is at > 800 nm. Blue light-induced PAM fluorescence can be used to measure the ETR in purple non-sulphur anoxygenic photobacteria and purple sulphur photobacteria because their RC-2 type BChl a complexes fluoresce similarly to PSII but at longer wavelengths than Chl a. Conventional PAM fluorometers using blue light cannot readily distinguish between oxygenic and RC-2 type anoxygenic photosynthesis because they use a simple > 700 nm highpass filter in front of the detector diode. We modified one fluorometer to use a 695–750-nm bandpass filter to measure Chl a fluorescence from PS-II, representing oxygenic photosynthesis. Similarly, we modified another fluorometer to use a highpass filter (> 830 nm) to measure BChl a fluorescence, representing anoxygenic photosynthesis. However, the fluorescence bands of Chl a and BChl a were found to be too wide to unambiguously distinguish between oxygenic and anoxygenic photosynthesis purely by fluorometry. Treatment with the specific PS-II inhibitor DCMU (Diuron) did enable discrimination of the two types of photosynthesis in a mixture of oxygenic and anoxygenic organisms. Ecological niches made up of both oxygenic and anoxygenic organisms such as microbial mats and hypereutrophic environments such as sewage ponds, wastewater ponds and prawn farm ponds are much more common than often realized. Anoxygenic photosynthesis in such systems is significant yet largely unquantified.

Polychaetes (Perinereis helleri) reared in sand beds filtering nutrients from shrimp (Penaeus monodon) culture ponds can transiently carry IHHNV

A polychaete-assisted sand filter (PASF) system has been developed to help remove nutrients from aquaculture pond wastewater whilst also producing polychaetes that are highly prized as bait by recreational anglers and as a dietary supplement to improve the fecundity of shrimp broodstock. Whilst rearing polychaetes in PASF beds offers potential to reduce impacts of sourcing them from the wild, the use of wastewater from ponds rearing shrimp such as Penaeus monodon will present a biosecurity risk of viruses being transferred to, and potentially amplified in, the worms. To assess such risks for transmitting infectious hypodermal and haematopoietic necrosis virus (IHHNV), groups of 3 or 4 PASF beds seeded with sand worm (Perinereis helleri) juveniles were supplied with wastewater from ponds of P. monodon with either high-load or low-load IHHNV infections. TaqMan real-time qPCR identified low loads of IHHNV (≤878 IHHNV DNA copies 200 ng−1 TNA) in most worms from PASF beds supplied wastewater from the high-load pond. IHHNV was either not detected or detected at the qPCR test sensitivity limits in worms from beds supplied wastewater from the low-load pond. Purging harvested worms of their gut contents in clean filtered seawater for 2 days significantly reduced IHHNV loads. Reverting PASF beds to clean seawater for 8 weeks before harvest also significantly reduced worm loads of IHHNV. Daily additions of a commercial probiotic to the sand bed surface for 4 weeks prior to clean seawater application provided no discernible benefit to IHHNV clearance. While clearly demonstrated to be capable of carrying IHHNV, the remediation measures examined suggest potential to ameliorate the infection transmission risks of P. helleri reared in PASF beds supplied with shrimp pond wastewater as a nutrient source.

Potential of Low Cost Sensor Usage for Waste Water IOT System

Mining industry is one of the industries that require huge amount of water. 1 tonne of coal requires 800-3000 gallons of water to produce. Due to the massive volume of water requirements, coal mining company must carry out water conservation. Moreover, the waste water from a coal mining process contains pollutants from mining activities that are dangerous for the environment. Therefore, the waste water must be treated to annihilate any harmful pollution before the water can be flowed back to the water resources. Stringent government regulation requires companies to report waste water quality regularly. The task to collect waste water quality data is laborious as a company needs operators to measure and checks the parameters periodically. Therefore, an on-line system to measure and collect the information is in dearth. However, expensive industrial sensors pose difficulties for small-scale coal mining. The paper presents the potential of low cost sensor for waste water online monitoring in coal mine. The experiment uses sediment from the waste water pond of a coal mining site. Two sensors are used to measure pH and total suspended solid (TSS). While pH level can be directly read from the sensor, TSS reading uses estimation from turbidity sensor. Log linear regression is used to plot the relation between turbidity and TSS. The R value shows that the low cost turbidity sensor is able to estimate TSS.

The extraction of oil from cooling pond wastewater as a raw material for biodiesel

The environmental pollution caused by the waste and the strict regulations of waste were currently a major concern for industries, such as the palm oil industry. Constraints experienced today are the difficulty of degradation process of the waste due to the high quantity and the content of contaminants in the waste. One of the efforts that can be prepared to reduce the negative impact is by using the waste as a raw material for biodiesel. Among the potential wastes to become a raw material for making the biodiesel is the wastewater from the cooling pond as a part of the wastewater treatment in palm oil industry. The objectives of this research are to study the process of oil separation from wastewater cooling pond by liquid-liquid extraction method to recover oil and use it as a raw material for making biodiesel. Extraction was carried out at room temperature. The solvent type, wastewater sample to solvent ratio, and extraction time were varied. Based on the results, the highest oil yield of 90% was reached by using n-hexane solvent, the wastewater sample to solvent ratio of 2: 3, and extraction time of 72 hours, while the acid number of 78.49 mg KOH/g oil was obtained. The separated oil can be used as a raw material for making biodiesel through the esterification and transesterification processes. The biodiesel produced has been met the standard of SNI 0471822006 for kinematic viscosity (0.83 cSt), acid number (0.54 mg KOH/g), methyl ester (99.40%), free glycerol (0.01%), and total glycerol (0.13%).

Nutrient removal by duckweed from anaerobically treated swine wastewater in lab-scale stabilization ponds in Vietnam

In Vietnam, swine wastewater is generally treated using anaerobic processes. Nevertheless, the level of pollutants in effluent after anaerobic treatment remains very high, thereby necessitating further treatment. This research was conducted to assess the applicability of duckweed (Lemna minor) for purifying wastewater collected from a household swine wastewater treatment system in Hanoi, Vietnam. After the anaerobically treated wastewater was diluted 10-fold, it was fed continuously to lab-scale stabilization ponds with and without planted duckweed at a hydraulic retention time of 5 days under ambient conditions. The chemical oxygen demand (COD), total nitrogen (T–N), and total phosphorus (T–P) concentrations in the influent were, respectively, 260–290 mg/L, 24–28 mg/L, and 1.4–1.8 mg/L. The COD, T–N, T–P removals in the pond with duckweed (74%, 84%, and 84%) were much higher than in the pond without duckweed (71%, 55%, and 58%). The duckweed greatly enhanced the first-order removal rates by 1.4, 2.0, and 3.2 times, respectively, for COD, T–N, and T–P in the ponds. Although the primary purification mechanisms in the ponds were sedimentation and adsorption, the duckweed grown with the relative growth rate of 0.07–0.16 d−1 showed nutrient uptake activity from the wastewater. Biofilms formed on the duckweed roots apparently promoted COD removal and degradation of organic nitrogen into ammonia. Stabilization ponds planted with duckweed are anticipated for use as co-beneficial systems for wastewater treatment and biomass production.

Experiments and Modeling for Investigation of Oily Sludge Biodegradation in a Wastewater Pond Environment

Historic operating and abandoned refineries frequently contain ponds or lagoons that contain oily sludge from historic wastewater treatment processes and separator sludge disposal activities that occurred prior to the implementation of regulations forbidding such disposal. These oily sludge-containing wastewater ponds represent a long-term liability at older operating refineries or abandoned refinery sites. Dewatering and solidification/stabilization are the most common technologies used to treat these sludges; however, these approaches are labor, equipment, and material-intensive. For sites where the time required to complete treatment is not a high priority, biodegradation treatment may be effective for final site remedy. The objective of this study was to investigate potential improvements in oily material biodegradation using dispersants and petroleum-degrading microbial consortia, along with the modeling of this system. The oil dispersed with mixing or remaining in the bulk aqueous phase with biodegradation was measured using methods from a dispersant effectiveness test. The experimental results indicated that mixing at levels of 200 rpm or higher resulted in positive effects on both the extent of hydrocarbon dispersion (80 to 90% of oil dispersed) and the biodegradation of the oil phase (50 to nearly 100% degraded), while the modeling results, taken along with the experimental results, indicated smaller dispersed phase droplet sizes and promoted more efficient biodegradation.

Effects of Biofilms on Ammonium Removal Efficiency in Fish Pond Effluents

Treatment of wastewater in fish ponds effluent is an effort to reduce the impact of pollutants contained in the wastewater so that it can be disposed into the aquatic environment safely. The purpose of this study is to understand and analyze the effect of inoculant sources on removing of total ammonium in vanamae shrimp and marguensis shrimp pond wastewater, and to pre-design the technology for treating high-salinity organic waste with biological wastewater treatment using natural microorganisms. The study was conducted using a laboratory-scale reactor. At the beginning of the study, adherent biofilm media was planted at the bottom of the sea with a depth of 1.5 m for three weeks to grow nitrifying bacteria, then applied to treat fish pond wastewater. The results showed that the efficiency of ammonium reduction with adherent media from Telukawur is 74% while adherent media from Panjang Island is 66% with declining and fluctuating trends every day. The extensive -scale application for treating wastewater from brackishwater aquaculture is designed with 4 processing units, a 15.5 m x 7.7 m x 1.5 m sedimentation basin, a 10.5 m x 3.5 m x 1.5 m anaerobic basin, a 13 m x 13 m x 1.5 m aerobic basin, and a 15.5 m x 7.7 m x 1.5 m effluent basin. It concludes that biofilm adhesion technology from Panjang Island waters and Telukawur waters can work efficiently in removing ammonium concentration.

Prospective chemisorption of fluoride utilizing coastal molluscan (Crassostrea Sp.) shell from phosphatic fertilizer pond wastewater, Paradeep, Odisha

The present study explores the utilization of very acidic (pH 1.46) and high fluoride (F-) containing (9290 ppm) phosphatic fertilizer industry (Paradeep, Odisha, India) pond wastewater (PW) generated from phosphogypsum (PG) stacks by using Crassostrea Sp. molluscan shell (MS) as an adsorbent. F- chemisorption batch experiments on molluscan shells (MS) powder (212 - 500 micron) varying 6 different MS (Solid-S) to PW (Liquid-L) i.e. S/L ratios (1: 8 to 1: 30), time (0.08 to 48 hours) and fluoride concentration (4645 – 8361 ppm) as diluted PW. Chemisorption of F- peaked with 1: 20 S/L ratio at 24 hrs and its concentration in the supernatant reduced by 99.9 %. XRF, FTIR and XRD analysis of MS and its chemisorbed residues confirmes the role of relatively high calcium containing MS (72 % CaO) towards formation of Fluorapatite (FA) [Ca5(PO4)3F]. Desorption experiments of FA residue for 24 hrs, highlights the stability of F- chemisorption process on MS, which is confirmed by presence of FA in desorbed residue through XRD analysis. The research findings establish prospects of F- recovery from PW through chemisorption process utilizing selected MS.

ЕСТЕСТВЕННО-БИОЛОГИЧЕСКИЕ МЕТОДЫ ОБЕЗЗАРАЖИВАНИЯ СТОЧНЫХ ВОД НА ФЕРГАНСКОЙ ПТИЦЕФАБРИКЕ

This article deals with the problem of wastewater treatment at the Fergana poultry farm (FPF). The results of hydrochemical and sanitary-bacteriological studies are analyzed. Treatment facilities were built at the Fergana poultry farm and put on balance, which included the following objects: a grate crusher, horizontal sand traps, 2-tier settlers, biological oxidation and stabilization ponds (otherwise known as BOX ponds). After the accumulation of ten daily volumes of waste water in the BOX ponds, they were transferred to the contact mode of operation, with the introduction of an adapted microalgae complex. Hydrochemical and bacteriological analysis of the selected samples were carried out. The results were analyzed for the content of E. Coli bacteria; the concentration of pH hydrogen ions, COD, suspended solids, dissolved oxygen, ambient air temperature, and the amount of alkalinity. The results of hydrochemical studies on self-purification of wastewater in BOX ponds were analyzed. According to the conducted research, poultry farm waste water that was subjected to disinfection processes in BOX ponds becomes epidemiologically safe if the concentration of microalgae introduced into the system to intensify self-purification processes is equal to or exceeds 500 ml. Studies have found that this indicator can be increased at the end of cleaning and disinfection to 99,9% [8, 14]. After the cleaning and the decontamination is completed, waste water prepared in the BOX ponds of the Fergana poultry farm can be used for irrigation, or in fishbreeding and biological ponds for growing fish-planting material.

Đa dạng vi khuẩn lam ở một số thủy vực thuộc tỉnh Trà Vinh

The study on variation of composition and individual density of cyanobacteria was conducted in Tra Vinh province in several waterbodies: natural freshwater and wastewater ponds, aquaculture ponds, rice fields, drainage channels from rice fields, river mouths during the rainy and dry season. As results, 47 species of cyanobacteria belonging to 14 genera, 9 families, 4 orders (Chroococcales, Noctoscales, Oscillatoriales, Synechococcales) were identified. The Oscillatoriales accounts for the most numberous species (44.68%) with 21 species, followed by the Nostoccales (25.53%) with 12 species, and the Chroococcales occupied for 21.28%, with 10 species. The Synechococcales has the lowest species (4 species), accounting for 8.51%. Cyanobacteria were found to distribute in all surveyed waterbodies. Of which, standing waterbodies like sewage ponds and aquaculture ponds consist of high species composition and high density of Cyanobacteria. Species composition during the rainy season is more abundant than that during the dry season (rainy season: 34/47 species; the dry season: 27/47 species). Of 47 found species, Arthrospira (Spirulina) sp. has the highest density in aquaculture ponds (D15) (50,577 individuals/L) and mainly occurs in the rainy season with the highest density of 81,953 individuals/L, while Microcytis sp. has the highest density (73,567 individuals/L) in the dry season.

The Utilization of Gracilaria verrucosa as shrimp ponds wastewater biofilter

Gracilaria verrucosa as biofilter can absorb and utilize inorganic nitrogen and phosphorus contained in pollutants for its growth. This research aims to know the ability of G. verrucosa as shrimp pond waste biofilter, to know the difference in the quality of shrimp pond wastewater before and after treatment, and to learn more about the absorption capacity of G. verrucosa capability against shrimp pond wastewater. The experiment was conducted on a laboratory scale using a Completely Randomized Design (CRD) consisting of four treatments with three replications using G. verrucosa of different weights which were 100 g, 150 g, 200 g, and controls. The parameters observed in the study were water quality parameters, seaweed biomass, and seaweed absorption. The results obtained were temperature 27.2–30.1°C, TSS 7–76 mg.L-1, pH 7.42–8.83, salinity 16–18 ppt, DO 1.7–5.3 mg.L-1, biomass 74–210.7 g, ammonia effectively decreased on 10th day by 90%, nitrate on 20th day was 22.2% and phosphate value on 30th day was 20.1%. G. verrucosa absorbed nitrogen (N) 0.08% and phosphorus (P) 0.35%. G. verrucosa is potential as a biofilter and can be used as a species candidate for IMTA system.