Optimum Coagulant Dose Research Articles

The Synergistic Power of Rosehip Seed Powder and Aluminum Chloride in Steel Industry Wastewater Treatment

This study investigates the efficiency of a hybrid coagulation–flocculation process for the treatment of industrial wastewater from the steel industry. The novel method combines a natural coagulant, processed Rosehip Seed Powder (RSP), with a chemical coagulant, aluminum chloride (AlCl3), across varying concentrations and pH levels. The study simulated the pH 8 conditions of iron and steel industrial wastewater and examined the removal of heavy metals, total suspended solids (TSS), chemical oxygen demand (COD), and ammonia–nitrogen (NH3-N). At pH 8, the optimal coagulant dosage was determined to be 0.75:0.75 (g/g) of RSP/AlCl3 powder, resulting in high removal efficiencies across several parameters: 88.29% for COD, 91.85% for color, 99% for TSS, 93.11% for NH3-N, 94.3% for Mn, 98.5% for Fe, 96.7% for Zn, and 99.3% for Ni. The pH optimization demonstrated high removal efficiencies without pH adjudication. The removal of heavy metals at pH 8 demonstrated high efficiencies, with Mn, Fe, Zn, and Al achieving 99.00%, 90.6%, 95.73%, and 92.3%, respectively. These results suggest that no pH adjustment is required when using RSP/AlCl3 for the treatment of iron and steel industry wastewater through the coagulation method.

APPLICATION OF PLANT SEED BIO-COAGULANT IN THE REMEDIATION OF ENVIRONMENTAL PAINT EFFLUENT

The discharge of industrial effluents into the environment has been a growing concern worldwide due to its adverse impacts on human health and the ecosystem. Paint effluent, in particular, poses a significant threat due to its high chemical oxygen demand (COD), total suspended solids (TSS), and colour. Conventional methods of treating paint effluent discharge require the use of chemical coagulants, which are expensive, non-sustainable, and can generate hazardous waste. The search for alternative and sustainable methods for treating industrial effluent has led to the exploration of natural coagulants derived from plant sources. One such source is watermelon seeds, which contain significant amounts of proteins that possess coagulating properties. This study aimed to investigate the potential of watermelon seed bio-coagulant (WSB) for the remediation of paint effluent discharge. The effects of the watermelon seed bio-coagulant dosage, pH, and agitation rate on the removal efficiency of the treatment process were evaluated. These results revealed that the bio-coagulant was effective. The optimum coagulant dosage, pH, and agitation rate were found to be 300mg/L,4, and a treatment time of 45 min, respectively, with BOD and COD removal efficiencies of 88.47% and 90.41%, respectively. Statistical optimization of the treatment process was performed using the response surface methodology (RSM). The results revealed that the quadratic model developed using RSM was statistically significant with a high coefficient of determination (R2 = 0.9958). The analysis also revealed that bio-coagulant dosage and pH are the major factors affecting the efficacy of the treatment process. The optimized conditions led to removal efficiencies of88.95% and 90.61% for BOD and COD, respectively, indicating that watermelon seed bio-coagulant could be an effective and sustainable alternative for treating paint effluent. The results of this study suggest that the use of watermelon seed bio-coagulant is a promising approach for optimizing the paint effluent treatment process. It is a cost-effective and eco-friendly alternative to conventional coagulants used in wastewater treatment and has demonstrated efficacy in treating industrial wastewater. This study presents a sustainable and eco-friendly approach to the treatment of paint effluent discharge using a natural coagulant derived from a waste product.

Optimization of Reservoir Water Quality Parameters Retrieval and Treatment Using Remote Sensing and Artificial Neural Networks

Inland water bodies are critical ecosystems that serve several functions including the provision of freshwater, regulation of climate and hydrological flows, and pollution control. Therefore, effective monitoring and management of these water resources is critical for sustainable water supply systems. This study evaluated the possible use of satellite data to estimate water quality parameters (WQPs) in an inland water body. The study also used artificial neural network (ANN) models in addition to the satellite data to determine the optimum coagulant dose for water treatment. The use of earth observations and machine learning methods has not been done extensively in developing countries, specifically, in water quality monitoring and management. The study utilized empirical multivariate regression modelling (EMRM) of the spectral reflectances from satellite data for the retrieval of Chla-a, Turbidity, and total suspended solids (TSS) concentrations in an inland water body. Using MLP-ANN modelling, the extracted spectral reflectance values from the selected sampling points in the reservoir were used as model inputs for the prediction of treated WQPs. A second MLP-ANN model was developed to predict the optimum coagulant dose required for raw water treatment. The R2 values achieved with AN model 1 were 0.81, 0.76, and 0.81 respectively for TSS, turbidity, and Chl-a, and 0.99 for the optimum coagulant dose. The study concluded that spectral reflectance from medium resolution satellite data products can be used to estimate WQPs from inland water bodies. Further, the ANN models demonstrate that extracted water quality data from satellite images can be used to inform ANN models for water quality predictions, and for the optimization of water treatment plant operations.

Experimental approach and analysis of the effectiveness of a tubular helical flow flocculator for water supply in developing communities

The main objective of this study was to evaluate the impact of the length and retention time of a tubular helical flow flocculator (THFF) on the elimination of turbidity and color from raw water, to obtain quality treated water for consumption in areas rural. For this, a large-scale field experimental system was used, the THFF was built with 4-inch diameter polyethylene hose and coupled to a sedimentation and filtration process. For the different experimental tests, aluminum sulfate was chosen as the coagulant. To find the optimal dose of coagulant, jar tests were previously carried out. For the tests the length of the THFF was varied (50 m and 75 m), flow rates of 0.25, 0.5, 0.75, 1 and 2 L/s and turbidity ranges of <10, 10–20, 21–50, 51–100 and > 100 NTU of raw water were tested. An evaluation of the hydraulic behavior of the THFF was carried out through an analysis of the temporal distribution curve of the concentration of a tracer, applying the Wolf-Resnick model. The average results revealed a haze and color removal efficiency of 98.07 % and 98.50 %, respectively. The residence time and velocity gradient exhibited variations in a range of 2.25–35.0 min and 3.64 to 56.94 s−1, respectively. It was evident that the operation and effectiveness of THFF are directly influenced by the turbidity of the raw water, the residence time and the velocity gradient. These findings indicate that THFF could play a valuable role as a flocculation unit in a purification system, mainly the existence of a plug-type flow was observed. The findings indicate that THFF, complemented by settling and filtration processes, could be a valuable tool for implementation in rural areas.

Prediction of Optimum Dosage of Coagulant in Water Treatment Plant: A Comparative Study between Artificial Neural Network and Random Forest

Raw water, sourced directly from natural water bodies, is unsuitable for direct consumption due to the presence of various impurities. Therefore, it undergoes treatment at a Water Treatment Plant (WTP) before being supplied to the public. Preliminary treatment involves the removal of floating matter, through screening, while heavier particles settle out by gravity, fine particles remain in suspension, causing turbidity. Effective removal of these suspended particles requires coagulation to form flocs and facilitate the settling. Determining the optimal coagulant dosage is crucial, as both underdoing and overdosing of coagulant can lead to ineffective treatment and increased costs. Conventionally optimum dosage of coagulant is determined by performing jar test. This study focuses on predicting the optimum coagulant dosage using two soft computing techniques: Artificial Neural Network (ANN) and Random Forest (RF). The Input parameters for model development include turbidity, pH, temperature, and alkalinity of raw water from the Parvati Water Treatment Plant, Pune. In this study Four models were developed, namely Model A (Turbidity), Model B (pH, Alkalinity, Temperature, Turbidity), Model C (pH, Alkalinity, Temperature), and Model D (Alkalinity and Turbidity). These models were trained using ANN and RF. Predictions of optimum coagulant doses were made for the testing dataset, and model accuracy was evaluated using Scatter plots, Root Mean Squared Error (RMSE) and Coefficient of Correlation (R). Results indicate that RMSE values of ANN Models are comparatively lower than RF. Comparing among Models A, B, C, and D, Model B and Model D exhibit better performance, with lower RMSE values.

The practical meaning of the classical optimizing method and Angular Detection Photometer (ADP) in coagulation tests of surface water

Because of the growing deficit of clean water, rational use of its supplies through adaptation of purification techniques to the needs is becoming vital. The commonly used coagulation process requires optimization tools and techniques. The following were used in this paper to optimize coagulation of natural water pollutants: the standard jar test method with direct filtration and the angular detection photometry (ADP) method. We tested two aluminium coagulants – PAC with different basicity – and an iron coagulant: PFS. A modified jar test method allowed to obtain results similar to those of the sedimentation method. At the optimum doses 1.3 mg Al/mg C org. and 2 mg Fe/mg Corg – colour (PtCo), A254, A436 – achieved reduction in the 84–96% range and DOC 60–67% after filtration. The titration method using an ADP successfully allows determine optimum coagulant doses. The SD and FI values were determined based on the recorded fluctuations of the signals measured by detectors placed at three angles relative to the IR beam. A variation in SD was observed, depending on the angle of detection and the coagulant and correlates well (R2 =0.6–0.86) with sedimentation time ST, which was twice as long in the case of fine suspension in the PFS.

Effects of initial turbidity and myco-coagulant dose on the effectiveness of the coagulation process in water treatment

High turbidity is a pollutant that requires coagulants to be removed from treated water and wastewater. This study was conducted to characterize and analyze the potential of myco-coagulant-producing fungus isolated from the moist area of a kitchen. Myco-coagulant production was carried out using solid-state fermentation using coco peat as a substrate. One factor-at-a-time analysis (OFAT) was carried out to assess the capacity of the produced myco-coagulant in various initial turbidities and myco-coagulant doses. The potential of myco-coagulant was tested using turbid synthetic water with different turbidity levels (50, 100, 150, 200, 250 and 300 NTU). The results showed that turbidity removal by the myco-coagulant was influenced by the initial turbidity. The coagulant was less efficient at low turbidity levels, which was approximately 5% for 50 NTU, while the highest was 52% for 300 NTU water. Furthermore, the results demonstrated that myco-coagulant could remove the highest possible turbidities on day 6 with all initial turbidity values studied in this work. Different myco-coagulant doses ranging from 1 to 10% (v/v) were also used to determine the optimum dose for effective flocculation. The highest turbidity removal of 57% could be obtained at an optimum coagulant dose of 4% (v/v). Like any other commercial coagulant, the residual turbidity value increased at a coagulant dose higher than the optimum dose of 4% (v/v).

Cheese wastewater treatment through combined coagulation-flocculation and photo-Fenton-like advanced oxidation processes for reuse in irrigation: effect of operational parameters and phytotoxicity assessment.

The present study aims to investigate the efficiency of a combined cheese wastewater treatment approach involving coagulation with ferric chloride coupled with a photo-Fenton-like oxidation process for potential reuse in irrigation. Laboratory-scale tests were conducted, examining the effect of various operational parameters on the treatment process. Specifically, the effects of initial wastewater pH, coagulant dosage, decantation time for the coagulation process, and initial pH, chemical oxygen demand (COD) concentration, and Fe3+ and H2O2 dosages for photo-Fenton-like oxidation were studied. Coagulation was found effective at natural pH of 6 and showed a highest removal efficiency in terms of COD (50.6%), biological oxygen demand BOD5 (42.1%), turbidity (99.3%), and least sludge volume generation (11.8% v/v) for an optimum coagulant dose of 400mg Fe3+ L-1 and 8h of decantation time. Thereafter, photo-Fenton-like oxidation (Fe3+/H2O2/UVA-300W) of the pretreated cheese effluent enhanced the removal of COD, BOD5 and TOC to 91.2%, 91.4%, and 97.5%, respectively, using the optimized conditions (pH = 3; [Fe3+] = 5.0 × 10-4mol L-1; [H2O2] = 0.2mol L-1 and tirr = 24h). This study also shows that the proposed combined process allowed a significant phytotoxicity reduction toward lentil seed germination. The obtained outcome was encouraging and supports the possible use of the treated cheese wastewater as an additional water source for agricultural irrigation.

Penentuan Kebutuhan Poli Aluminium Klorida pada Proses Penjernihan Air di Unit Water Treatment PT. XYZ Kuala Tanjung

A Water Treatment Unit (WTU) is a station that works on the processing and conditioning of raw water to meet the desired water quality. Water purification at PT. XYZ Kuala Tanjung uses raw water sourced from surface water or rivers. The river water used still contains solid substances and organic matter that render the water unsuitable for industrial use. Both suspended and colloidal solid substances can cause turbidity. Turbidity caused by solid substances can be addressed using coagulation techniques. The purpose of this research is to determine the optimal concentration and dosage of coagulant to clarify water in the WTU. The coagulant used is polyaluminum chloride (PAC). The research method is based on experiments using jar tests and stoichiometric calculations. The determination of the optimal coagulant is measured based on turbidity parameters. Experiments are conducted with varying concentrations of PAC ranging from 25-65 ppm, and the smallest turbidity value obtained is 1.21 NTU at a PAC concentration of 65 ppm, with a PAC requirement of 202.6679 kg/day. The higher the PAC concentration, the clearer the resulting water, but the daily requirement for PAC also increases.

Physical and Chemical Treatability Study in Wastewater Treatment Plant Design (Case Study: Leather Tanning Industry)

The leather tanning industrial is one of the industries that produces wastewater from its production process which contains several contaminants. In wastewater treatment plant design, the treatability study is important because it becomes a consideration in selecting treatment units in wastewater treatment plant based on the characteristics of the wastewater produced. Two methods were carried out in this treatability study, the physical method with imhoff cone sedimentation and the chemical method with jar test. The results of imhoff cone test found that the removal efficiency for wastewater samples was 80% of COD, 72% of BOD, 64.6% of TSS, 72% of total chromium, and 80% of color with the optimum sedimentation time of 50 minutes. Furthermore, the waste water sample was tested by the jar test by adding PAC and FeCl3. The results of the jar test obtained the optimum coagulant dose of 3000 mg/L with PAC coagulant, it was capable of removing 77% of COD, 33% of BOD, 92.68% of TSS, 33% of total chromium, and 98% of color. Based on the results achieved from this study, the physical and chemical treatment can be considered for use in WWTP planning in the leather tanning industry.

Removal of Reactive Red 141 and Disperse Red 13 Dyes from Aqueous Solutions Using Different Coagulants: An Optimization and Comparison Study

This study investigated the performance of different coagulants for the removal of different dye types from synthetic dye solutions. The ability to use each of the following: aluminium sulphate (Al2(SO4)3, aluminium chloride (AlCl3), and ferric chloride (FeCl3) as chemical coagulants were examined for removing reactive red 141 (RR 141) dye and disperse red 13 (DR 13) from dye solution. Coagulation studies determined the optimum pH, mixing time, coagulant dosages, and initial dye concentrations. The maximum efficiency for removing RR 141 was 65.7% by aluminium chloride at the operation condition of pH 8, mixing time 10 min, and dye concentration of 100 mg/L. In contrast, under the same conditions, ferric chloride could remove more than 98% of DR 13. Since the disperse dye type has better colour removal, the maximum volume of sludge was 0.3 kg/m3 which was produced when FeCl3 was used as a coagulant. The results demonstrated that coagulation is a promising technology for dye removal, especially for dispersed dyes as it has some characteristics such as colloidal dispersion and very low water solubility.

Economic and social perspectives of implementing artificial intelligence in drinking water treatment systems for predicting coagulant dosage: A transition toward sustainability

The traditional determination of optimum coagulant doses in drinking water treatment plants (WTPs) using the jar test technique is time-consuming, expensive, significantly influenced by variations in raw water quality, and susceptible to human error. Therefore, this study employed an artificial intelligence (AI) technique, namely, artificial neural network (ANN), to predict the coagulant dosage and explore the economic and social perspectives of its implementation in waterworks. Data on raw water quality parameters obtained from a drinking WTP were utilized to develop prediction models. The results show that the proposed ANN model performed slightly better than the multiple linear regression (MLR) model regarding coagulant dosage prediction. With test data, the ANN model provided the mean absolute percentage error (MAPE), root mean square error (RMSE), and coefficient of determination (R2) values of 5.59, 2.49 mg/L, and 0.94, which were improved by 52.1%, 44.2%, and 17.1%, in comparison to the MLR model. The economic benefits from AI implementation in coagulation-flocculation operations could produce total savings of US$ 8036.44 per year, net present value (NPV) of US$ 18,154.81, and a discounted payback period of 3.4 years. Moreover, social benefits included safeguarding human health, decent job creation, and reliability and resilience of water production infrastructure. The adoption of AI in WTPs showed a strong linkage with multiple technological- and water-related sustainable development goals (SDGs) and associated targets. Identifying SDG correlations would aid in the sustainable planning and management of operational processes in WTPs worldwide.

Feasibility Study of the Implementation of a Wastewater Treatment Plant in the City of Tulear Madagascar 2018

The city of Tulear is undergoing environmental degradation. The wastewater is heavily polluted, the average values observed for biological oxygen demand (282,347 ± 76,907 mg.L-1), chemical oxygen demand (579,302 ± 161,102 mg.L-1), and suspended solids (859,114 ± 816,707 mg.L-1) are above the standard discharge values. This study allowed us to design a treatment system and to make a technical, economic, environmental and social assessment of the treatment plant. Thus, the treatment method chosen is the physico-chemical process of coagulation – flocculation –filtration. Indeed, for a population of 368,020 inhabitants, the average hourly discharge rate is estimated at 662.436 m3/d. In addition, the number of bars for grids n°1 and n°2 are respectively 34 and 140, the surface of the sedimentation basin is estimated at 204,5m2, the optimal dose of coagulant (Al2(SO4)3) and flocculant (polyacrylamide) for the coagulation-flocculation basin are respectively 300 mg.L-1and 2 mg.L-1and this gives a considerable drop in suspended solids of the order of 15,22 mg.L-1after treatment. For the settling basin, the volume of clarifier is estimated at 306,68m3, finally the sludge produced is estimated at 1613,66 m3.

Optimization of coagulation-flocculation for landfill leachate treatment: An experimental design approach using response surface methodology

The present work aims to optimize the leachate treatment of the Mohammedia-Benslimane landfill by coagulation-flocculation using the central composite design. The independent variables studied were pH, coagulant dose, flocculant dose, and stirring time. The response variables studied were turbidity, COD, and absorbance at a wavelength of 254 nm.The results showed that the optimal pH was 6.87, the optimal coagulant dose was 7.89 g/L, the optimal flocculant dose was 12 ml/L, and the optimal stirring time was 22.8 min. These optimal conditions provided the best results for the responses studied. Indeed, turbidity was reduced by 90.38%, COD was reduced by 85.50%, and absorbance at a wavelength of 254 nm was decreased by 55.53%. The analysis of variance indicated that the established models were significant and that they are characterized by a good fit (R2 in the order of 0.97, 0.96, and 0.94 for turbidity, COD, and UV254, respectively).In conclusion, optimizing landfill leachate treatment by flocculation coagulation using the central composite design within response surface methodology yielded promising results for reducing turbidity, COD, and absorbance at a wavelength of 254 nm. This method can be used to optimize landfill leachate treatment in other settings.

Modelling coagulant dosage in drinking water treatment plant using advance machine learning model: Hybrid extreme learning machine optimized by Bat algorithm.

Despite the high importance of coagulation process in drinking water treatment plant (DWTP), challenge remains in effectively linking raw water quality measured at the inlet of the DWTP with coagulant dosage rate. This study proposes an integral modelling framework using hybrid extreme learning machine and Bat metaheuristic algorithm (ELM-Bat) for modelling coagulant dosage rate using water temperature, pH, specific conductance, dissolved oxygen, and water turbidity. The aluminum sulphate (Al2 (SO4)3.18H2O) coagulant is determined using conventional Jar-Test procedure. Results obtained using the hybrid ELM-Bat were compared to those obtained using standalone ELM, outlier robust extreme learning machine (ORELM), online sequential extreme learning machine (OSELM), optimally pruned extreme learning machine (OPELM), and kernel extreme learning machine (KELM). First, the models have been calibrated during the training stage and in a second stage; they are validated using various statistical metrics, i.e., RMSE, MAE, the correlation coefficient (R), and the Nash-Sutcliffe model efficiency (NSE). We found that the hybrid ELM-Bat was significantly more accurate and it has yielded accuracy higher than all other models. During the validation stage, the R and NSE values calculated using the ELM-Bat were ≈0.959 and ≈0.918 exhibiting an improvement rates of approximately (≈15.26% and ≈33.82%), (≈10.35% and ≈21.92%), (≈14.98% and ≈31.89%), (≈7.63% and ≈16.35%), (≈10.99% and ≈23.05%), compared to the values obtained using the ELM, OPELM, OSELM, KELM and ORELM, respectively. Besides, the new ELM-Bat model has shown to have high predictive capabilities, which can be used optimally for calculating the optimal coagulant dosage with high accuracy.

Plant seed–based bio-coagulant development and application for fecal sludge treatment and biogas production improvement

Plant seed–based bio-coagulant development and application are promising for fecal sludge treatment and biogas production improvement. However, improving methane yield in anaerobic digestion processes is an important research direction. This work addresses the development and application of Cucumeropsis mannii and Luffa acutangula seed proteins as novel bio-coagulants for fecal sludge concentration to increase the biogas yield. Their seeds’ protein content was determined and extracted using 1 M (NaCl), then isolated and precipitated by ammonium sulfate [(NH4)2 SO4], and purified using a dialysis process. Their coagulation/flocculation was compared to Moringa oleifera and Cucurbita pepo seeds as the primary treatment for the fecal sludge concentration. Optimal coagulant dosages of 20 mg/L at pH 7.25 increased the total solids from 0.4 to 2.8% and obtained 180 to 340 mL/L of fecal sludge volume per liter. Their bio-coagulant effect on the supernatant water reduced 76.48 to 96.88% of turbidity, 71.20 to 88.76% of COD, and 81.33 to 95.30% of ammonia–nitrogen. The biomethane potential result has shown that plant seed–based bio-coagulants are effective and produce substrates potentially favorable to increased methane yield in anaerobic digestion with 350.5 to 465.3 NmL CH4/gVS, by a ratio 2:1 on VS, compared to the FS without bio-coagulant treatment with a specific methane yield of 192.8 NmL CH4/gVS.

OPTIMASI DOSIS POLI ALUMUNIUM CLORIDA (PAC) UNTUK PENGOLAHAN LIMBAH PENYAMAKAN KULIT PADA PROSES KOAGULASIFLOKULASI

The purpose of this study was to determine the optimum dose of PAC coagulant in the treatment of tannery waste in the coagulation-flocculation process. The research was conducted using the jar test method to treat leather tanning wastewater by coagulation -flocculation. Coagulation was carried out with various doses of PAC coagulant 1%, 2%, 3%, 4%, and 5% each of which 5 mL was put into a beaker containing 300 mL of tannery wastewater. Coagulation was carried out with rapid stirring at 100 rpm for 1 minute. Then flocculated using 1% basefloc polyelectrolyte 3 mL each. Flocculation with slow stirring at 25 rpm for 15 minutes. The results of the jar test were measured for turbidity, pH, and the type of floc. The results showed that the optimum dose of PAC coagulant to treat leather tanning waste was 5 mL PAC 2% for a waste volume of 300 mL, at pH 7. This result can be converted into grams of PAC/waste volume, namely 0.1 grams of PAC/300 mL of waste or 0.33 grams of PAC/1L of leather tanning liquid waste.

Effectiveness of Poly Aluminum Chloride Coagulant On The Performance of IPAM Badaksinga, Bandung City

The Badaksinga Drinking Water Processing Installation is an installation owned by Perumda Tirtawening Drinking Water, Bandung City, has 2 of these installations, the first of which is a design from Degremont - France, built around 1954 with a capacity of 1000 liters/second. The second installation is an IWACO-Dutch design with a flow rate of 800 liters/second. The raw water for the two installations comes from the Cisangkuy River and the Cikapundung River. To purify the raw water, PAC (Poly Aluminum Chloride) is used as a coagulant which is a complex inorganic compound with a clear to yellowish color. The coagulant addition process must be carried out efficiently because this coagulation process is a chemical process that requires a large amount of money for the water treatment process apart from chlorination. Excessive addition of coagulant doses will cause the cost of using coagulant chemicals to swell so that it will have an impact on overall operational costs. The purpose of this study was to determine the effectiveness of using PAC in reducing turbidity, in the form of the optimum dose of coagulant, turbidity and pH. The method used is the Jar Test which is a tool to test the ability of coagulants to determine the optimum dose in a water treatment process. From the samples, the raw water turbidity varied from 17.1 to 281 NTU, fluctuating due to geographical location and environmental conditions around each and the degree of acidity or an average pH of 7.13. After the Jar Test was carried out, the optimum dose was produced at a coagulant concentration of 30 mg/l resulting in turbidity in the range of 1.1 to 5.0 NTU and an average turbidity reduction efficiency of 94.5%, the pH of raw water, after coagulation and flocculation with the Jar Test simulation tool, there was a decrease of 4.1% to an average of 6.99. This result is in accordance with Minister of Health Regulation No 492/MENKES/PER/10/2010 April 19 2020, namely turbidity of no more than 5 NTU and a pH of 6.5 – 8.5

Effectiveness of Poly Aluminum Chloride Coagulant On The Performance of IPAM Badaksinga, Bandung City

The Badaksinga Drinking Water Processing Installation is an installation owned by Perumda Tirtawening Drinking Water, Bandung City, has 2 of these installations, the first of which is a design from Degremont - France, built around 1954 with a capacity of 1000 liters/second. The second installation is an IWACO-Dutch design with a flow rate of 800 liters/second. The raw water for the two installations comes from the Cisangkuy River and the Cikapundung River. To purify the raw water, PAC (Poly Aluminum Chloride) is used as a coagulant which is a complex inorganic compound with a clear to yellowish color. The coagulant addition process must be carried out efficiently because this coagulation process is a chemical process that requires a large amount of money for the water treatment process apart from chlorination. Excessive addition of coagulant doses will cause the cost of using coagulant chemicals to swell so that it will have an impact on overall operational costs. The purpose of this study was to determine the effectiveness of using PAC in reducing turbidity, in the form of the optimum dose of coagulant, turbidity and pH. The method used is the Jar Test which is a tool to test the ability of coagulants to determine the optimum dose in a water treatment process. From the samples, the raw water turbidity varied from 17.1 to 281 NTU, fluctuating due to geographical location and environmental conditions around each and the degree of acidity or an average pH of 7.13. After the Jar Test was carried out, the optimum dose was produced at a coagulant concentration of 30 mg/l resulting in turbidity in the range of 1.1 to 5.0 NTU and an average turbidity reduction efficiency of 94.5%, the pH of raw water, after coagulation and flocculation with the Jar Test simulation tool, there was a decrease of 4.1% to an average of 6.99. This result is in accordance with Minister of Health Regulation No 492/MENKES/PER/10/2010 April 19 2020, namely turbidity of no more than 5 NTU and a pH of 6.5 – 8.5

Vertical tubular flocculator: Alternative technology for the improvement of drinking water treatment processes in rural areas

The guarantee of access to safe drinking water for rural communities is a great challenge due to the increase in contamination and deterioration of water sources. Rural areas face technological, financial, and operational limitations, having poor water quality, generally. The purpose of this study was to evaluate the efficiency of a vertical tubular flocculator (VTF) to be used as part of the purification process in rural areas where small flows are used. An experimental treatment system (ETS) implemented in the field was used. The VTF was implemented using PVC pipes and fittings. Tests were carried out with the same raw water used from a conventional treatment plant with aluminum sulfate as a coagulant. The optimal coagulant dose applied in the ETS was determined by the jar test. In the VTF, the length, turbidity, and flow of the raw water were varied. The hydraulic behaviour of the VTF was evaluated with the analysis of the time distribution curve of concentration of a tracer applying the Wolf-Resnick model. A low residence time VTF was obtained, representing a new efficient flocculation model for the reduction of turbidity and colour. The results showed that the turbidity of the raw water, the residence time, and the degree of agitation are important parameters in the operation and efficiency of a VTF. There was a predominance of plug flow in the reactor. The obtained results were compared with the efficiency of a conventional water treatment plant used in the study site. The results obtained indicated that this ETS that integrates a VTF with settling and filtration can be a useful tool for rural areas. It was recommended to replicate this study with wastewater, other dimensions of the VTF, to establish a specific methodology for the design of the VTF, to evaluate the dosage with dose bombs for improving the results of VTF, and to elaborate a hydraulic model for VTF.