Biochemical Oxygen Demand Levels Research Articles

Mitigating environmental pollution from tofu industry wastewater: Case of Suyanto Tofu Factory, Mojokerto

Background: This research investigates the impact of tofu industry wastewater on water environments at Suyanto Tofu Factory, Mojokerto. The tofu industry generates liquid waste containing high pH, Total Suspended Solids (TSS), Biochemical Oxygen Demand (BOD), and Chemical Oxygen Demand (COD), potentially polluting local rivers. Despite Suyanto Tofu Factory having wastewater treatment facilities, these are currently non-functional, underscoring the urgent need for designing new wastewater treatment installations. Methods: In this context, the study aims to determine the volume of wastewater produced, analyze the levels of BOD, COD, TSS, and pH in the wastewater, and design sustainable wastewater treatment facilities using a Constructed Wetland system. Findings: This method is expected to minimize the environmental impact of tofu wastewater, protect surrounding aquatic ecosystems, and comply with environmental regulations. By proposing sustainable solutions, the research aims to enhance awareness and management of wastewater in the tofu industry, offering technology solutions appropriate to local conditions. Conclusion: In conclusion, implementing effective and sustainable wastewater treatment installations is crucial to safeguard water quality and river ecosystems around Suyanto Tofu Factory. Novelty/Originality of this Study: By proposing a Constructed Wetland system for tofu industry wastewater treatment, this research introduces an innovative, sustainable solution tailored to local conditions, potentially revolutionizing waste management practices in small-scale food industries.

Influence of Land Use and Land Cover on the Quality of Surface Waters and Natural Wetlands in the Miranda River Watershed, Brazilian Pantanal

Water quality assessment stands as a fundamental step in water resource management. In addition to substances and organisms present in the water, land use and land cover are two factors also affecting water quality. This study analyzed the correlation and influence between water quality and land use and land cover in the Miranda River Basin (MRB) and the natural wetlands in the Pantanal Biome. Using a watershed-wide approach, results suggested that water quality management policies can be considered in terms of sub-basins (smaller planning units). The Water Quality Index (WQI) was considered GOOD or EXCELLENT throughout the MRB. It was observed that the natural wetlands have the capacity to contribute to improving the WQI, with reductions in thermotolerant coliforms and turbidity; however, high values were found for thermotolerant coliforms, a temporal increasing trend of biochemical oxygen demand (BOD), and a reduction in dissolved oxygen and total phosphorus. Conversely, in these flooded areas, trends of a decrease in dissolved oxygen and an increase in BOD levels were found. Natural wetlands play important hydrological and ecological roles in water quality, storing, removing, and cycling nutrients. They are highly relevant areas for defining watershed management and conservation strategies, environmental protection, and providing ecosystem services.

Naturally derived organic biochar as an alternative to commercially activated carbon in the oxygen removal of seafood processing wastewater

AbstractBACKGROUNDThe seafood processing industries are tremendously increasing in numbers which eventually discharge a large quantity of wastewater with a high range of biochemical oxygen demand (BOD) and chemical oxygen demand (COD), directly into the aquatic environment. A high level of BOD and COD in wastewater pertains to a higher level of pollution which must be reduced to prevent hazardous impacts on ecosystems. The main objective of the research aimed to develop cost‐effective biochar and to remove BOD and COD from processing wastewater using two natural biomasses: water hyacinth and sugarcane bagasse.RESULTSNaOH‐treated and non‐treated biochar for both water hyacinth as well as sugarcane bagasse were prepared through the process of pyrolysis carried out at 600 °C with three different residence times of 30, 45 and 60 min. The wastewater was initially analyzed for BOD and COD levels. The results showed that among all the groups of biochars, the water hyacinth NaOH‐treated biochar pyrolyzed at 600 °C for 60 min exhibited significantly (P < 0.05) higher levels of reduction in BOD (86.6 ± 0.03%) and COD (94.3 ± 0.05%) at a residence time of 60 min in D2 (0.5 g (250 mL)−1). The maximum removal efficiency was observed for water hyacinth NaOH‐treated biochar pyrolyzed at 600 °C for 60 min.CONCLUSIONThe removal efficiencies of organic load revealed that the treated biochars exhibited a better reduction of nutrients. The biochar efficiencies when compared with those of activated carbon exhibited a higher removal level. The present research can be used to reduce BOD and COD levels in wastewater treatments. © 2024 Society of Chemical Industry (SCI).

Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model.

River water quality management and monitoring are essential responsibilities for communities near rivers. Government decision-makers should monitor important quality factors like temperature, dissolved oxygen (DO), pH, and biochemical oxygen demand (BOD). Among water quality parameters, the BOD throughout 5 days is an important index that must be detected by devoting a significant amount of time and effort, which is a source of significant concern in both academic and commercial settings. The traditional experimental and statistical methods cannot give enough accuracy or solve the problem for a long time to detect something. This study used a unique hybrid model called MVMD-LWLR, which introduced an innovative method for forecasting BOD in the Klang River, Malaysia. The hybrid model combines a locally weighted linear regression (LWLR) model with a wavelet-based kernel function, along with multivariate variational mode decomposition (MVMD) for the decomposition of input variables. In addition, categorical boosting (Catboost) feature selection was used to discover and extract significant input variables. This combination of MVMD-LWLR and Catboost is the first use of such a complete model for predicting BOD levels in the given river environment. In addition, an optimization process was used to improve the performance of the model. This process utilized the gradient-based optimization (GBO) approach to fine-tune the parameters and better the overall accuracy of predicting BOD levels. To assess the robustness of the proposed method, we compared it to other popular models such as kernel ridge (KRidge) regression, LASSO, elastic net, and gaussian process regression (GPR). Several metrics, comprising root-mean-square error (RMSE), R (correlation coefficient), U95% (uncertainty coefficient at 95% level), and NSE (Nash-Sutcliffe efficiency), as well as visual interpretation, were used to evaluate the predictive efficacy of hybrid models. Extensive testing revealed that, in forecasting the BOD parameter, the MVMD-LWLR model outperformed its competitors. Consequently, for BOD forecasting, the suggested MVMD-LWLR optimized with the GBO algorithm yields encouraging and reliable results, with increased forecasting accuracy and minimal error.

SIGNIFICANCE OF CONSTRUCTED WETLANDS IN COMBATING POLLUTANTS FROM WASTEWATER: A SUSTAINABLE DEVELOPMENT PERSPECTIVE

Water contamination is the greatest hazard to public health. Addressing water scarcity and protecting accessible water sources necessitates the effective treatment of wastewater. This makes the use of sustainable solutions such as constructed wetlands (CWs) essential. CWs leverage natural processes involving wetland vegetation, soils, and microbial communities. This study evaluates the efficiency of a horizontal sub-surface flow CW, established with local plants at Hudiara drain, in removing pollutants such as Biochemical Oxygen Demand (BOD), Turbidity, Nitrates, Phosphates, and pH, across different months. The study reveals that while temperature and precipitation rates influence the CW's efficacy, the linear regression model indicates a strong correlation between phosphorus and BOD levels with precipitation. However, nitrates are sensitive to temperature, and turbidity is influenced by both temperature and precipitation within certain limits. Additional factors impacting CW performance include wastewater characteristics, design flow, and wetland location. When compared with Pakistan Environmental Quality Standards (PEQS), it is concluded that CWs are effective in wastewater treatment. By constructing CWs along the banks of wastewater drains, treated water from the outlet chamber can be collected and redirected, offering a viable solution to water scarcity challenges.

A Comprehensive Study of Variation in Water Quality Parameters to Design a Sustainable Treatment Plant

In this paper, greywater samples are collected from the kitchens of different types of buildings (residential and commercial) located in different districts within the city of Jeddah, Saudi Arabia. The collected samples are analyzed and compared with the potable water from the same region. The parameters investigated are pH, conductivity, total solids (TS), total dissolved solids (TDS), total suspended solids (TSS), total hardness, temporary hardness, permanent hardness, alkalinity, chloride, and biochemical oxygen demand (BOD). It was found that the amount of total suspended solids is very high in the greywater samples. It shows the presence of both temporary and permanent hardness. Their alkalinity values are greater than hardness. It may be due to the number, lifestyle, age of the occupants, presence of children, and social and cultural behavior of residents. The concentration of BOD level is very low, which shows that the greywater samples have lower concentrations of organic compounds. Design details of the greywater treatment plant are suggested based on the results of the analysis. This includes a screening chamber, grit chamber, settling tank, and filtration unit. The treated greywater is recommended for reuse for gardening, landscaping, and toilet flushing purposes.

Unveiling the Nexus the link between water quality index and phthalic acid ester concentrations in Tigris River

Monitoring water quality in an aquatic system is a crucial objective in pursuing sustainable development, despite the challenges posed by water scarcity and the impact of climate change. The objective of the present study was to examine the water quality of the Tigris River along its course from the point of entry into Baghdad city to its exit, particularly in the presence of Phthalic Acid Esters (PAEs). In both dry and wet seasons and from five sites of the river, nine environmental factors (Turbidity, Total dissolved solids, pH, dissolved oxygen, Chloride, nitrate, phosphate, sulfate, and Biological oxygen demand) and three PAEs (di-n-butyl phthalate (DBP), di-isononyl phthalate (DiNP), and di-2-ethyl hexyl phthalate (DEHP)) were investigated. Results revealed that the river has high levels of turbidity and Total dissolved solids, slightly alkaline, and well-aerated (dissolved oxygen >7 mg/L). Chloride, nitrate, phosphate, and sulfate values varied between seasons, as high values were recorded in the wet season. Biochemical oxygen demand levels were higher during the dry season. The highest value of total PAEs (2.20 μg/L) was observed during the dry season, and the lowest value was in the wet season (1.16 μg/L). The HQ results revealed that the river was ranked as a moderate risk area. However the water quality index and environmental risk index classified the water quality as a poor category, with a high-risk score in the study sites within Baghdad city. Therefore, despite the acceptable limit of PAEs in the river's water (<3 μg/L), its presence is an early alarm to withdraw attention to its environmental risk. These findings highlight the need for appropriate measures to control and remove pollutants to ensure a safe and healthy water supply in the Tigris River.

Regression-based analytical models for dissolved oxygen in wastewater.

The limited freshwater resources and increasing demand for clean water require minimizing organic contamination in wastewater. High levels of biochemical oxygen demand (BOD) in water reduce available oxygen, harm ecosystem biodiversity, and degrade water quality. Here, regression-based analytical models are suggested to minimize organic contamination by estimating desired dissolved oxygen (DO) and dilution factors (df) correlated to the organic decomposition. Training datasets of defined independent inputs (i) ultimate biochemical oxygen demand (UBOD), (ii) minimum BODT (BODM), (iii) average BODT (BODA), (iv) COD, (v) O2 consumption (X), and (vi) time (T) were collected and/or calculated based on literature. Results showed that there should be specified oxygen dosing amounts dependent upon BOD5 levels, noting that BOD5 and DO5 are inversely proportional (proportionality might differ based on the microbial concentration). An increase in df is predominated by BOD5, with df≈9.2 for storm (STM), df≈12 × 103 for industrial (IND), and df≈18.5-28.5 for domestic (DOM) wastewaters. Mixing/matching between the input features used in training regressors including medium trees (MT) and ensembles boosted trees (EBT) showed high accuracy > 94% for predictor combinations: (i) MT-[UBOD-X], MT-[UBOD-X-T-COD], and EBT-[UBOD-X-T-COD] for DO5 predictions, and (ii) EBT-[BODM-BODA] and EBT-[BODM-BODA-UBOD-X-T-COD] for df predictions, knowing the general term XX-[a-b-c-d-e-f] has XX = regressor and a,b,c,d,e,f = predictors for the training parameters used as inputs. The models are capable of predicting changes in DO5 against BOD with deviations 5-10%, whereas a suggested correction factor [Formula: see text] further reduced this deviation to < 5%, where i = 0, 1, 2…6 refers to the BODM datapoint and its corresponding UBOD with the constant α = f(i). The optimized collective models (cubic equations derived for df and DO5 from BODM that is an exponent function in UBOD) would enable effluent quality evaluation to manage organic contamination, bridging the gap between science and industry best practices.

Monitoring Biochemical Oxygen Demand (BOD) Changes During a Massive Fish Kill Using Multitemporal Landsat-8 Satellite Images in Maninjau Lake, Indonesia

Maninjau Lake is one of Indonesia's lakes for hydroelectric power plants, tourism, and fish farming activities. Some activities around the lake cause pollution, leading to massive fish kill. Therefore, it is necessary to monitor water quality regularly. One of the critical water quality parameters is biochemical oxygen demand (BOD). This study aimed to analyze BOD changes using a remote sensing approach during massive fish kills in Maninjau Lake, Indonesia. Multi-temporal Landsat-8 satellite images are processed to estimate the BOD level based on Wang Algorithm. After that, the estimated BOD value is validated using in situ data measurement. The results of the average BOD concentration that occurred in Lake Maninjau was 1.85 mg/L and showed that R2 was 0.8334, and the standard error was 0.076 between the estimated BOD and in situ data. Furthermore, the average concentration of BOD obtained on 23rd August 2017, 13th December 2017, 30th January 2018, 19th March 2018, and 7th July 2018 are 4.96 mg/L, 4.82 mg/L, 5.31 mg/L, 6.94 mg/L, and 6.60 mg/L, respectively. Increased BOD concentration in January 2018 indicates moderate pollution in the waters. BOD concentration increases after the massive fish kill due to the decaying fish across the lake.

IMPROVING THE WASTE WATER QUALITY OF CATFISH FARMING POND THROUGH PHYTOREMEDIATION PROCESS BATCH CULTURE SYSTEM USING VARIOUS TYPES OF LOCAL HYDROMACROPHYTES

This study aimed to determine the effectiveness of the batch culture phytoremediation model conducted in a 30 L bucket with sand and gravel as a substrate in reducing pollutants from post-harvest catfish farming ponds. This true experimental study used a completely randomised design with the treatments of hydromacrophytes of emergent, floating, submerged, and polycultures of the three hydromacrophytes and controls without hydromacrophytes. Each treatment was repeated three times. The effectiveness of this model was monitored using physicochemical water parameters, Chironomidae density, and the biotic index of diatom [Trophic Diatom Index (TDI) and Percentage of Pollution Tolerant Value (%PTV)]. After incubation, monitoring was done on days 10, 15, 20, and 25. The results showed that the phytoremediation process had successfully reduced the suspended solid and nitrate levels in the water starting from day ten after incubation. The levels of Biochemical Oxygen Demand (BOD) and Total Kjeldahl Nitrogen (TKN) decreased significantly after 25 days. The level of organic matter pollution based on the %PTV and density of Chironomidae was significantly reduced after 15 days of incubation. However, the phosphate level was still high, and the water trophic status was hypereutrophic. The most effective treatment for the phytoremediation process in this study is submerged hydromacrophytes.

Efficiency of wastewater purification in medium sand with a lightweight expanded clay aggregate assisting layer

The objective of this experimental study was to examine whether an assisting layer of lightweight expanded clay aggregate (LECA) of the granulation 1–4 mm, introduced into a subsoil, is able to improve an efficiency of removal of total nitrogen and total phosphorus from domestic wastewater. In the investigations, an assisting 0.10 and 0.20 m thick LECA layer was applied. It has been observed that the effectiveness of removal of total suspended solids (TSS), total nitrogen and total phosphorus from wastewater as well as the level of biochemical oxygen demand ( BOD 5) and chemical oxygen demand ( COD) is in accordance with the Polish standards on wastewater disposal into grounds and surface water. The performed experiments showed that the effectiveness of raw wastewater purification for the medium sand soil bed with the 0.20 m thick assisting LECA layer is higher than for the 0.10 m thick assisting layer. In the medium sand soil bed with the 0.20 m thick assisting LECA layer, the removal efficiency regarding total nitrogen increased by 20.6%, total phosphorus by 5.2%, ammonium nitrogen by 8.8% and TSS by 5.3%, and reduction efficiency regarding BOD 5 increased by 1.7% and COD by 2.3% with relation to the 0.10 m thick assisting LECA layer (all percentages – in average). The results of the experiment showed that the LECA with the granulation 1–4 mm can be used to assist in removal of total nitrogen and total phosphorus from wastewater with application of infiltration drainage.

Evaluation of Pollutant Discharge from Slaughterhouses on Receiving Water Bodies

Aim: The aim of this study is to appraisal the consequences of slaughterhouse wastewater discharge into surface water of selected slaughterhouse environment.&#x0D; Study Design: Three (3) main stream/surface water discharged slaughterhouses was analyzed. Water samples were collected at the Middle Course (MC) of the receiving water body. Sampling was be carried out between the hours of 10.00 am and 11.00 am when the discharge of effluent into the rivers/streams always occur.&#x0D; Methodology: Wastewater samples were collected from the different slaughterhouses in order to determine the quality of the effluent before it was discharged into nearby stream/river. The MC samples will be collected from about 40 m from the point of entry of the slaughterhouse waste. Waste samples were collected from each sampling site with a clean polyethylene bottles. The containers was washed with diluted HCl and then rinsed with the wastewater from the slaughterhouse so as to neutralize or reduce the effect of external contaminants. The samples were appropriately labeled and transported to the laboratory, stored in the refrigerator at 4⁰C prior to being analyzed for the physical, chemical and biological parameters present.&#x0D; Results: The parameters assessed include, Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Solids (TS), Phosphate, pH, Magnesium, Zinc, Iron, Manganese, Cadmium and Lead. High level of BOD, COD, and TS was revealed on receiving streams with minimum values of 1001mg/l, 1120mg/l, and 990mg/l.&#x0D; Conclusion: The physico-chemical parameters showed the negative impact of the abattoir effluent on the stream thus rendering the water of worthless value to humans. Furthermore, the abattoir urgently needs an effluent treatment facility to be installed to reduce the health hazard its effluent poses on the abattoir users and users of the streams receiving the effluent.

Analyzing the Effect of Temperature on DO and BOD of the Tapi River using QUAL2Kw Model

Environmental pollution and climate change is the ultimate result of rapid urbanization. The change in environmental conditions due to undesirable human activities increases local ambient temperature hence it is leading to a rise in the river water temperature. Tapi river is the main source of drinking water for Surat city, Gujarat, India. A stretch of river Tapi has been studied from Kamrej to Causeway which has a stretch of about 22.39 km. The river water quality was found to be degraded due to the excessive discharge of pollutants from various points and non-point sources. Extreme discharge of pollutants into the river decreases the dissolved oxygen (DO) concentration. At the same time due to the increase in temperature, the process of transformation of atmospheric O2 gas into dissolved form also becomes very slow. In this study, the QUAL2Kw one - dimension water quality model was applied to assess the DO and BOD at various locations. The QUAL2Kw model was calibrated and validated with observed data. The calibrated model was applied to evaluate the effects of temperature on the DO and BOD of the Tapi river. The conditions of maximum, minimum, and average temperature for March, April, and May from the year 1991 to 2021 were considered. The result revealed that the full stretch of 22.39 km was not able to maintain minimum dissolved oxygen (DO) concentration, hence biochemical oxygen demand (BOD) has subsequently increased downstream of the river stretch. It was also observed that DO and BOD levels tremendously fluctuate ambient temperature.

EFEKTIVITAS ARANG AKTIF CANGKANG KEMIRI (Aleuritas molaccanu) UNTUK PENGOLAHAN LIMBAH TEMPE

This study aims to determine the effect of giving candlenut shell activated charcoal using the parameters BOD (Biochemical Oxygen Demand), TSS (Total Suspended Solid), and pH (power of hydrogen) in tempe waste. The research uses quantitative methods, the type of research is experimental and laboratory observation. The research sample consisted of tempe waste and candlenut shell activatedcharcoal. The data analysis technique consisted of calculating the effectiveness and efficiency of removal, as well as the Kruskal-Wallis statistical test. The results showed that activated charcoal of candlenut shells could reduce BOD and TSS levels in tempe waste. In addition, it can increase the pH of tempe wastewater to normal (pH = 7). Overall, the BOD parameters are still in normal conditionsand have not passed the predetermined threshold. The removal efficiency of activated charcoal from candlenut shells on BOD, TSS, and pH levels in tempe waste as a whole increased. The results of the Kruskal-Wallis H test for the BOD parameter obtained a significant value (Asymp. Sig.) of 0.083 &gt; 0.05. TSS obtained a significant value (Asymp. Sig.) of 0.881 &gt; 0.05. pH obtained a significant value (Asymp. Sig.) of 0.351 &gt; 0.05. Thus, H0 is accepted or there is no significant (significant) difference in the ability of candlenut shell activated charcoal to BOD, TSS, and pH levels in tempe waste. This is because the samples used in laboratory tests on tempeh waste are still small, only repeated twice, the weight of the candlenut shell activated charcoal is only 5 grams and 10 grams, respectively.The conclusion shows that there is a decrease caused by giving candlenut shell activated charcoal using BOD (Biochemical Oxygen Demand) and TSS (Total Suspended Solid) parameters, as well as making the pH (power of hydrogen) neutral (pH 7) in tempe waste.

Efficiency of prefabricated biodigesters in the treatment of domestic wastewater in dispersed rural localities

In most developing nations, poor wastewater management continues to be a significant health and environmental concern. In this context, the research seeks to evaluate the efficiency of the biodigester treatment of domestic wastewater through monitoring and evaluation, based on physicochemical and bacterial parameters to reduce environmental pollution caused by excreta in the Chibaya Baja sector, Peru. Water sampling was done in the influent and effluent of the biodigester, taking samples periodically every 15 days, for 01 months, obtaining 03 samples for physicochemical and bacteriological analysis. According to the results obtained from the laboratory, the efficiency of the domestic wastewater treatment was 59.51% of the biochemical oxygen demand (BOD), 49.16% of the chemical oxygen demand (COD), in oils and fats 35.92%, in total suspended solids 52.78% and fecal coliforms (thermotolerant) 89.19%. A comparison of the parameters evaluated with the maximum permissible limits set by the Peruvian Ministry of the Environment reveals that the levels of BOD and COD exceed the limits. Therefore, this wastewater should not be discharged into water bodies.

A Water Quality Assessment and Modelling of the Indian River Tungabhadra

Every river gets polluted as it moves from its source to the end. Hence, the quality of the water requires investigation for the usability. In the present work 40.69 km stretch of the river Tungabhadra in the Davangere district of the Karnataka, India was chosen for testing the water quality. The samples’ physical, chemical and biological characteristics were tested from eight sites for each month during pre-monsoon, monsoon and post-monsoon seasons from 2017 to 2019. A biochemical oxygen demand-dissolved oxygen (BOD-DO) equation was estimated using the de-oxygenation and reaeration constants. The results showed that the physical and chemical parameters were within the limits of the usability standards for all the sampling stations during all seasons. For the first 2.54 km of the River Tungabhadra, the biochemical oxygen demand (BOD) levels were categorized as class “C”, implying the river water to be within drinking water standards. However, from 2.54 to 40.69 km stretch, the river was classified as class “D”, making it unsuitable for drinking water. It was also shown that the river could be maintained class “C” if it flowed at 6m3/s which can be achieved by releasing water from the Tunga and Bhadra reservoirs. Moreover, treatment of the municipal waste before spilling to the river would further reduce the BOD levels.

Quality Control Assessment in the River of Kajang, Selangor, Malaysia

This paper investigates the biochemical oxygen demand (BOD) and the pH level along Jelok River, Kajang, Selangor, Malaysia. The BOD and pH level are of major interest as microbial activity. Five water sampling locations along the river have been selected. To test the pH level of each water sample, a pH meter was used. To test the BOD of each water sample, the 5-days BOD test was conducted. Using the collected data, the Pearson’s correlation coefficient between the pH and BOD was calculated. The computed Pearson correlation coefficient is -0.67988, indicating that pH does affect BOD of the water, specifically for this river. In addition, it demonstrates that when pH value increases, BOD of the water will decrease. The results show that water pH was quite stable, range between 7.05 to 7.65, while BOD fluctuates wildly, range between 1.4 to 4.3 mg/L. According to the BOD value, the high BOD value was found along the bridge at Changkat Road with 4.3 mg/L, and the lowest was found to be the one at Shell Petrol Station along Semenyih Road with BOD value of 1.4 mg/L. From the findings, public and authority shall be alert of the water performance and actions are necessary to preserve the water quality along this river. In addition, it is recommended to compare the water quality parameters among few rivers in future studies.

Analysis on Impact of Kukrail Nala in Gomti River Pollution and Its Effect on Adjoining Ground

Abstract: This study set out to ascertain the degree of contamination in the Kukrail Nala and how much it contributed to the pollution of the Gomti River. The Kukrail Nala begins in the Kukrail Forest and confluences with the Gomti River after travelling approximately 26 kilometres, passing through the centre of the city. As a result, the Kukrail Nala's pollution will have an impact on the health of Citizens, particularly those who live nearby. The Gomti River and Kukral Nala run through Lucknow, the state capital of Uttar Pradesh. Due to human involvement and the discharge of municipal and industrial trash, Kukrail Nala and Gomti River, located in the centre of the Ganga Plain, suffered severe damage downstream of Lucknow. The nala is extremely contaminated, with high levels of Biochemical oxygen Demand (BOD) and Chemical oxygen demand(COD), even in the summer. Due to the extremely low and almost negligible flow of the Kukrail Nala, it is likely that the pollution may percolate there and eventually reach the ground water. People who live close to the nala regularly depends upon the groundwater for various activities like drinking, bathing and other household activities ground water, which could have an impact on their health. Speaking of more than just humans, it also harms animals within and outside of water bodies. The way that technological advancements are affecting everyone's lives is having a tremendously negative impact on natural resources. This study focuses on the extent to which Kukrail Nala has been dangerously exploited and how it may have an impact on other larger water sources and as well effect being associated with these water bodies.

The Ganga River Water Pollution Status in India characterize with river Gomti

This article puts forward to provide the state of pollution of the Ganga River in India along with its tributaryriver Gomti. A lot of research works for monitoring and assessment ofGanga river water have been doneby many investigators in the past. With its pietism, Ganga River water is considered a great prominentriver in India so that people use the water to perform last rites to their loved ones. It is deteriorated due todischarge of untreated wastes, chemicals, heavy metals and sewage from Industries and Cities. This paperreveals governmental efforts toward river water preservation, not executed properly because of the apatheticapproach of people in our country. In India lack of sanitation in rural areas is also a major contributor ofriver water pollution. In the urban mega cities which are fast-growing- hotspots, pollution levels worsenalong the Ganga River including its tributary rivers. Some studies by CPCB reveal high BOD levels atdownstream, biochemical oxygen demand (BOD) levels were high towards downstream at Haridwar,Kannauj, Kanpur and on peak at Varanasi but alarming is that, almost at all the stretches of Ganga riverand its tributaries, level of pollution is getting escalated. Alone Uttar Pradesh contributes 90% of Gangapollution so that it is chosen for further research including Gomti River a significant tributary of Ganga.Although there are many contributions of researchers in cleaning Ganga but structured and stringentmeasures for the environment are to be taken.

Improved neural network with least square support vector machine for wastewater treatment process

This research offers a unique interval by using the predicting approach for discharge indicators of water quality data such as biochemical oxygen demand (BOD) and ammonia nitrogen (NH3–N). This is considered one of the significant quality metrics in wastewater treatment plants for water quality management as well as surveillance. To begin, the effluent information for BOD/NH3–N and their supplementary parameters are gathered. Hence BOD and NH3 are considered major feature sources for estimating water pollutants. BOD is high then oxygen level is very low in the water due to pollutants or algae. Ammonia nitrogen is an organic waste component in water from sewage. The significant characteristics with good correlation levels of BOD and NH3–N are examined and identified using a grey correlation analysis method after certain basic data pre-processing procedures. The BOD/NH3–N effluent information of a water treatment plant is predicted using an upgraded feed-forward neural network with the least square support vector machine (FFNN-LSSVM) method. An optimization approach for an enhanced feed-forward neural network (IFFNN) is built by Machine Learning Algorithms. The IFFNN used regular influent water quality, influent rate of flow, and Wastewater performance monitoring and operational conditions as input parameters. For future prediction, input variables were previous different wastewater quality measurements. Lastly, the analysis shows that, when compared to other current algorithms, the proposed methodology can forecast wastewater quality of water with high accuracy in predicting BOD and NH3 levels, limited computation duration, mean error less than 10% and R2 is 90% proves better than existing techniques.