scholarly journals Assessment of the Impact of Sewage Storage Ponds on the Water Environment in Surrounding Area

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2483
Author(s):  
Kairat Ospanov ◽  
Timur Rakhimov ◽  
Menlibai Myrzakhmetov ◽  
Dariusz Andraka
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Sewage Ponds ◽  
Treatment Facilities ◽  
Basic Quality ◽  
The Republic ◽  
The Impact

Due to geographical limitations (lack of natural receivers of treated wastewater) large sewage storage ponds are the main method of sewage disposal in the Republic of Kazakhstan. The paper presents the results of research on the environmental impact of sewage ponds serving the city of Kostanay (Kazakhstan). The scope of the research included the determination of basic quality parameters of raw and treated wastewater, the analysis of the chemical composition of groundwater in the vicinity of sewage ponds, and the analysis of the water quality of the Tobol River. The obtained results showed that efficiency of treatment facilities was unsatisfactory and water quality in the ponds did not meet requirements for surface waters for fishery. Highest contamination of groundwater was observed in sampling points close to the sewage ponds and was decreasing while the distance from the ponds was increasing. Multivariate analysis of the research data indicated that sewage from storage ponds, infiltrating into the ground, may affect quality of groundwater, which in turn supplying the Tobol River may also determine the quality of the river water.

scholarly journals Assessment of the Impact of Sewage Storage Ponds on the Water Environment in Surrounding Area

Proceedings ◽  
2020 ◽  
Vol 51 (1) ◽  
pp. 20
Author(s):  
Kairat Ospanov ◽  
Timur Rakhimov ◽  
Menlibai Myrzakhmetov ◽  
Dariusz Andraka
Keyword(s):  
Water Quality ◽  
Water Environment ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Groundwater Aquifer ◽  
Sewage Ponds ◽  
Basic Quality ◽  
The Impact

The paper presents the results of research on the environmental impact of sewage ponds serving the city of Kostanay (Kazakhstan). The scope of the research included the determination of basic quality parameters of raw and treated wastewater, an analysis of the chemical composition of groundwater in the vicinity of sewage ponds, and the analysis of the water quality of the Tobol River. The obtained results indicate that sewage from storage ponds, infiltrating into the ground, caused groundwater pollution in the area of about 100 km2 around the reservoirs. Due to the fact that the groundwater aquifer in the vicinity of sewage ponds feeds the Tobol River, it also affects water quality in the river, which does not meet the requirements for most of the analyzed parameters.

Impact of Lockdown on Health of the Yamuna river at Delhi Stretch, India

2021 ◽  
Vol 27 (1) ◽  
Author(s):  
MANOJ KUMAR SHUKLA
Keyword(s):  
Water Quality ◽  
Industrial Waste ◽  
Quality Parameters ◽  
Domestic Sewage ◽  
Pollution Monitoring ◽  
Yamuna River ◽  
Industrial Pollutants ◽  
The Impact ◽  
Positive Effect

Present study points out the impact of Lockdown on the health of the Yamuna river at Delhi stretch by comparing prelockdown and Post-lockdown period by studying the reports of pollution monitoring agencies. Delhi segment of the Yamuna is highly polluted, where alongwith domestic sewage a huge quantity of industrial waste is being discharged continuously without proper treatment. Pre lockdown (March 2020) water quality parameters at three sampling stations named as Palla, Nizammuddin Bridge and Okhla barrage U/s in Delhi were, pH were 8.7, 7.3 and 7.2, DO were 17.1 mg/L, not detected in later two sites, BOD were 7.9 mg/L, 57 mg/L and 27 mg/L and COD were 28 mg/L, 90 mg/L and 95 mg/L respectively and postlockdown period (April 2020) the pH was 7.8, 7.2 and 7.1, DO was 8.3 mg/L, 2.4 mg/L and 1.2 mg/L BOD was 2 mg/L, 5.6 mg/ L and 6.1 mg/L and COD were 6 mg/L, 16 mg/L and 18 mg/L respectively. The study of these parameters at three sampling stations reveals that the lack of industrial pollutants discharging due to nationwide lockdown for COVID-19 pandemic had positive effect on water quality of this river. Water quality could be maintained by planned establishment of industries and setup of ETP with without gap between generation and treatment.

scholarly journals Impact of Partially Treated Wastewater on Downstream Water Quality of Notwane River in Botswana

2018 ◽  
pp. 1-9
Author(s):  
Gilbert K. Gaboutloeloe ◽  
Gugu Molokwe ◽  
Benedict Kayombo
Keyword(s):  
Water Quality ◽  
Pearson Correlation ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Treated Wastewater ◽  
Nitrate N ◽  
River Stretch ◽  
Ph Range ◽  
The Impact

The impact of partially treated wastewater on the water quality of Notwane river stretch in the Gaborone region of Botswana was investigated. Water samples collected at effluent discharge point and three other sampling sites downstream were analyzed for pH, temperature, Biological Oxygen Demand (BOD5), Ammonia-nitrogen (Ammonia-N) and Nitrate-nitrogen (Nitrate-N). Sampling was conducted bi-weekly between February 2013 and April 2013. The ranges of measured parameters were:  pH (7.6-8.5), temperature (22-23ºC), BOD5 (11.2-27.0 mg/l), Ammonia-N (2.4-60.5 mg/l), Nitrate-N (20.6-28.6 mg/l). Analysis of variance, Games-Howel multiple comparisons and Pearson correlation were used to separate variable means. The results signal river non-point pollution due to runoff inflow of organics mainly from land use and domestic waste dumping by nearby dwellings. Temperature, BOD5, and pH range values were all within the Botswana Bureau of Standards (BOBS) limit while the maximum Ammonia-N and Nitrate-N were above BOBS limit by 50.5 mg/l and 6.6 mg/l, respectively. Regulations on indiscriminate waste dumping and discharge standards adherence should be enforced.

scholarly journals Investigating the Impact of Anthropogenic and Natural Sources of Pollution on Quality of Water in Upper Indus Basin (UIB) by Using Multivariate Statistical Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Mansoor A. Baluch ◽  
Hashim Nisar Hashmi
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quality Parameters ◽  
Anthropogenic Source ◽  
Indus River ◽  
Multivariate Statistical ◽  
Quality Of Water ◽  
The Impact

Water quality of the Indus River around the upper basin and the main river was evaluated with the help of statistical analysis. In order to analyze the similarities and dissimilarities for identifying the spatial variations in water quality of the Indus River and sources of contamination, multivariate statistical analysis, i.e., principle component analysis (PCA), cluster analysis, and descriptive analysis, was done. Data of 8 physicochemical quality parameters from 64 sampling stations belonging to 6 regions (labeled as M1, M2, M3, M4, M5, and M6) were used for analysis. The parameters used for assessing the water quality were pH, dissolved oxygen (DO), oxygen reducing potential (ORP), electrical conductivity (EC), total dissolved solids (TDS), salinity (%), and concentration of arsenic (As) and lead (Pb), respectively. PCA assisted in extracting and recognizing the responsible variation factors of water quality over the region, and the results showed three underlying factors including anthropogenic source pollution along with runoff due to rain and soil erosion were responsible for explaining the 93.87% of total variance. The parameters which were significantly influenced by anthropogenic impact are DO, EC, TDS (negative), and concentration of Pb (positive), while the concentration of As, % salinity, and ORP are affected by erosion and runoff due to rain. The worst pollution situation for regions M1 and M6 was due to the concentration of As which was approximately 400 μg/l (i.e., 40 times higher than minimum WHO recommendation). Furthermore, the results also indicated that, in the Indus River, three monitoring stations and five quality parameters are sufficient to have a reasonable confidence about the quality of water in this most important reserve of Pakistan.

scholarly journals Effects of Opened and Closed Spillway Operations of a Large Tropical Hydroelectric Dam on the Water Quality of the Downstream River

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Fiona-Annilow Wera ◽  
Teck-Yee Ling ◽  
Lee Nyanti ◽  
Siong-Fong Sim ◽  
Jongkar Grinang
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Aquatic Organisms ◽  
Quality Parameters ◽  
Regulated River ◽  
Land Uses ◽  
Hydroelectric Dam ◽  
Water Ph ◽  
The Impact

Water quality downstream of a hydroelectric dam is potentially affected by dam operations and other land uses in the river basin. Previous short-distance studies below the large Bakun Dam indicated poorer water quality during closed spillway. However, the extent of the impact is still unknown. Such knowledge is essential for mitigating the impact of the dam. Thus, the objectives of this study were to determine the water quality up to a distance of 210 km under two spillway operations, namely, closed and opened spillways, and also to determine the changes in water quality from the predam condition. Physicochemical parameters were measured at 15 stations along the Rajang River. Results of this preliminary study indicated that there were significant differences in eight out of nine water quality parameters between opened and closed spillway operations with opened spillway showing better water quality. During closed spillway, as we approached the dam, there was an increasing acidity and a decreasing oxygen content. Furthermore, as the water flows downstream, the unhealthy DO level (<5 mg/L) extended up to 165 km and the linear model showed an increasing DO rate of 0.09 mg/L per km. With opened spillway, DO decreased exponentially from 9.74 mg/L towards the downstream direction to 7.67 mg/L. The increasing turbidity and TSS in the downstream direction indicate contributions from erosion due to other land uses. The river is polluted with organics as indicated by COD of Class IV or V with sources from the dam and the activities in the river basin. Compared to the predam condition, the regulated river is less turbid but warmer and higher in ammonia. Closed spillway led to lower DO and acidic water. However, opened spillway water pH and DO were similar to those in the predam condition. Thus, it is recommended that DO be consistently high enough for the health of sensitive aquatic organisms downstream.

Impact of Further Impoundments on the Oxygen Balance and Water Quality of the Danube in Germany

1990 ◽  
Vol 22 (5) ◽  
pp. 69-78 ◽  
Author(s):  
D. Müller ◽  
V. Kirchesch
Keyword(s):  
Water Quality ◽  
Quality Parameters ◽  
Nitrifying Bacteria ◽  
Oxygen Balance ◽  
Quality Model ◽  
Model Calculations ◽  
River Bed ◽  
The Impact ◽  
The Mathematical Model

The construction of two or three impounding dams in the remaining freely flowing reach (73 km) of the Danube is under discussion. The purpose of these impoundments is to guarantee a minimum navigable depth of 3 m needed for modern cargo ships and to produce electric power. The impact of these developments is discussed on the basis of experience with similar impoundments further upstream and of the results from water quality model calculations. The mathematical model used is of the deterministic type, calculating the growth of slowly-growing organisms (nitrifying bacteria, algae and zooplanktons) according to MONOD and MICHAELIS-MENTEN. Compared with impoundments on other German rivers or the Iron Gate impoundments on the Danube, the effect of the impoundments under discussion on water quality parameters is likely to be fairly small, reflecting the slight changes in morphology which would be necessary for attaining the water depth required. Therefore, the more important effects of these developments would be the changes in the ecologic situation at the river bed and near the banks of the river.

scholarly journals Water quality and management in the Australian pig industry

2021 ◽  
Vol 61 (7) ◽  
pp. 637
Author(s):  
Louise Edwards ◽  
Helen Crabb
Keyword(s):  
Water Quality ◽  
Management Practices ◽  
Production Systems ◽  
Water Source ◽  
Quality Parameters ◽  
Quality Of Water ◽  
Standard Quality ◽  
Pig Performance ◽  
The Impact

Context Water is the first nutrient and an essential component of all agricultural production systems. Despite its importance there has been limited research on water, and in particular, the impact of its availability, management and quality on production systems. Aims This research sought to describe the management and quality of water used within the Australian pig industry. Specifically, the water sources utilised, how water was managed and to evaluate water quality at both the source and the point of delivery to the pig. Methods Fifty-seven commercial piggeries across Australia participated in this study by completing a written survey on water management. In addition, survey participants undertook physical farm parameter measurements including collecting water samples. Each water sample was tested for standard quality parameters including pH, hardness, heavy metals and microbiological status. Key results Responses were received from 57 farms, estimated to represent at least 22% of ‘large’ pig herds. Bore water was the most common water source being utilised within the farms surveyed. Management practices and infrastructure delivering water from the source to the point of consumption were found to differ across the farms surveyed. Furthermore, water was regularly used as a delivery mechanism for soluble additives such as antibiotics. The quality of water at the source and point of consumption was found to be highly variable with many parameters, particularly pH, hardness, salinity, iron, manganese and microbiological levels, exceeding the acceptable standard. Conclusions In general, water quality did not appear to be routinely monitored or managed. As a result, farm managers had poor visibility of the potential negative impacts that inferior water quality or management may be having on pig production and in turn the economics of their business. Indeed, inferior water quality may impact the delivery of antibiotics and in turn undermine the industry’s antimicrobial stewardship efforts. Implications The study findings suggest that water quality represents a significant challenge to the Australian pig industry. Access to drinking water of an acceptable quality is essential for optimal pig performance, health and welfare but also to ensure farm to fork supply chain integrity, traceability and food safety.

Monitoring the impact of farm practices on water quality in the Otago and Southland deer focus farms

2006 ◽  
pp. 183-188
Author(s):  
R.W. Mcdowell ◽  
N. Mcgrouther ◽  
G. Morgan ◽  
M.S. Srinivasan ◽  
D.R. Stevens ◽  
...  
Keyword(s):  
Water Quality ◽  
Management Practices ◽  
Pond Water ◽  
Quality Parameters ◽  
Environmental Objectives ◽  
Covered Area ◽  
The Impact ◽  
Further Development ◽  
Soil And Water

Research on the soil and water quality of deer farms is minimal. However, the perception is that many deer operations may be detrimental to soil and water quality. To address this problem two deer focus farms (DFF, 1 each in Otago and Southland) were established to showcase how productivity and environmental objectives can coincide. Managements implemented by the farmers included a sedimentation pond, fencing off waterways and retiring land under a QEII covenant. A detailed soil and water quality testing regime occurred for each farm: data were collected at the Southland DFF for three tributaries (one fenced off, one partially fenced and one unfenced) which fed into a stream and through a tussock covered area retired from grazing. Water quality in the unfenced and partially fenced tributaries was poor with no water quality parameters meeting ANZECC guidelines, whereas water quality in the fenced-off and planted tributary was better. Water exiting the retired area met ANZECC guidelines. Although water quality on parts of both deer farms did not meet ANZECC guidelines, when management practices such as fencing off and the creation of a pond were used water quality improved. More importantly, an area retired from grazing and further development on the Southland DFF showed that water quality could be significantly improved and could be better than that entering the farm. Keywords: fencing-off, QEII covenant, sedimentation pond, water quality

Water quality simulation of sewage impacts on the west coast of Mumbai, India

2010 ◽  
Vol 62 (2) ◽  
pp. 279-287 ◽  
Author(s):  
R. Vijay ◽  
P. J. Khobragade ◽  
R. A. Sohony
Keyword(s):  
Water Quality ◽  
West Coast ◽  
Current Data ◽  
The West ◽  
Water Quality Simulation ◽  
Hydrodynamic Behaviour ◽  
Treated Effluent ◽  
Treatment Facilities ◽  
The Impact

Most coastal cities use the ocean as a site of waste disposal where pollutant loading degrades the quality of coastal waters. Presently, the west coast of Mumbai receives partially treated effluent from wastewater treatment facilities through ocean outfalls and discharges into creeks as well as wastewater/sewage from various open drains and nallahs which affect the water quality of creek and coastal water. Therefore, the objective of this paper is to simulate and assess the hydrodynamic behaviour and water quality due to impact of sewage and wastewater discharges from the west coast of Mumbai. Hydrodynamics and water quality were simulated based on present conditions and validated by using measured tide, current data and observed DO, BOD and FC. Observed and simulated results indicated non compliance to standards in Malad, Mahim creeks and the impact zones of ocean outfalls. The developed model could be used for generating various conditions of hydrodynamics and water quality considering the improvement in wastewater collection systems, treatment levels and proper disposal for proper planning and management of creeks and coastal environment.

scholarly journals Modeling and monitoring of treated wastewater based on water quality assurance parameters

2019 ◽  
Author(s):  
CI Chemistry International ◽  
Elias Barsenga Hassen ◽  
Abraham M. Asmare
Keyword(s):  
Water Quality ◽  
Wastewater Treatment Plants ◽  
Back Propagation ◽  
Predictive Performance ◽  
Quality Parameters ◽  
Treated Wastewater ◽  
Mathematical Tool ◽  
Effluent Water ◽  
Feed Forward Back Propagation

Recently, process control in wastewater treatment plants (WWTPs) is, mostly accomplished through examining the quality of the water effluent and adjusting the processes through the operator’s experience. This practice is inefficient, costly and slow in control response. A better control of WTPs can be achieved by developing a robust mathematical tool for performance prediction. Due to their high accuracy and quite promising application in the field of engineering, Artificial Neural Networks (ANNs) are attracting attention in the domain of WWTP predictive performance modeling. This work focuses on applying ANN with a feed-forward, back propagation learning paradigm to predict the effluent water quality of the Habesha brewery WTP. Data of influent and effluent water quality covering approximately an 11-month period (May 2016 to March 2017) were used to develop, calibrate and validate the models. The study proves that ANN can predict the effluent water quality parameters with a correlation coefficient (R) between the observed and predicted output values reaching up to 0.969. Model architecture of 3-21-3 for pH and TN, and 1-76-1 for COD were selected as optimum topologies for predicting the Habesha Brewery WTP performance. The linear correlation between predicted and target outputs for the optimal model architectures described above were 0.9201 and 0.9692, respectively.

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