The Impact Moscow Domodedovo Airport Wastewater on Surface Water Quality

2020 ◽  
Vol 24 (10) ◽  
pp. 67-71
Author(s):  
A.I. Kurbatova ◽  
A.D. Dalidenok ◽  
K.Yu. Mikhaylichenko ◽  
E.V. Savenkova ◽  
E.V. Kruglikova ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Water Bodies ◽  
Water Pollution Index ◽  
Surface Water Bodies ◽  
The Impact

The impact of Moscow Domodedovo Airport wastewater on nearby surface water bodies, nameless streams which are tributaries of the Gnilusha and Muranikha rivers was investigated. Water quality was assessed by 16 indicators, the Specific Combinatorial Water Pollution Index (SCWPI) was also calculated. The quality degree of the studied reservoirs was determined.

GEOECOLOGICAL ASSESSMENT OF SURFACE WATER OF A RIVER BASIN WITH MATHEMATICAL ANALYSIS (on the example of the Ile River)

2021 ◽  
Vol 103 (4) ◽  
pp. 6-19
Author(s):  
Zh.S. Mustafayev ◽  
◽  
L.M. Ryskulbekova ◽  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Water Bodies ◽  
Limiting Factors ◽  
Catchment Basin ◽  
Water Pollution Index

Based on the structural analysis of complex hydrochemical indices for assessing surface water pollution used in various river basins, and the laws of limiting factors, a mathematical model was obtained in the form of the maximum permissible water pollution coefficient (Kпдзi), representing the product of the water content coefficient (Kb) and the maximum water pollution (Kпзi), by based on the laws of nature, principles and properties of natural processes in, together with the water pollution index (ИЗВ), are used for the geoecological assessment of the surface water quality of the Ile River basin on a spatial-temporal scale, taking into account the regulatory criteria for maximum permissible concentrations of pollutants for fishery water bodies, that between the coefficient of the maximum permissible water pollution (Kпдзi) and the water pollution index (ИЗВ) there is a pronounced relationship, described by a logarithmic equation, allowing them to be used to assess the ecological state water bodies. Water quality assessment was carried out for four hydrological sections of the Ile River catchment basin, which showed that water pollution is of a transboundary nature, since at the Dobyn hydrological station, located on the borders of the Republic of Kazakhstan and the People's Republic of China, the water quality is «polluted», and from the Kapshagai reservoir to Lake Balkhash «moderately polluted», where due to the selfcleaning ability of the aquatic ecosystem and the waters coming from the tributaries, there is some improvement in water quality.

scholarly journals The Impact of Urbanization on Water Quality: Case Study on the Alto Atoyac Basin in Puebla, Mexico

2022 ◽  
Vol 14 (2) ◽  
pp. 667
Author(s):  
Andrés Estrada-Rivera ◽  
Alfonso Díaz Fonseca ◽  
Samuel Treviño Mora ◽  
Wendy Argelia García Suastegui ◽  
Edith Chávez Bravo ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Population Growth ◽  
Industrial Development ◽  
Correlation Coefficients ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Environmental Implications ◽  
Rapid Urbanization ◽  
The Impact

Population growth, poorly planned industrial development and uncontrolled production processes have left a significant footprint of environmental deterioration in the Alto Atoyac watershed. In this study, we propose using the integrated pollution index (PI) to characterize the temporary variations in surface water quality during the rapid urbanization process in the municipalities of San Martín Texmelucán (SMT) and Tepetitla de Lardizabal (TL), in the states of Puebla and Tlaxcala, between 1985 and 2020. We assessed the correlation between the population growth rate and the water quality parameters according to the Water Quality Index (ICA). The contribution of each polluting substance to the PI was determined. The industry database was created and the increase in population and industry, and their densities, were estimated. The results indicated that the temporal pattern of surface water quality is determined by the level of urbanization. The water integrated pollution index (WPI) increased with the passage of time in all the localities: SLG 0.0 to 25.0; SMTL 25.0 to 29.0; SRT 4.0 to 29.0; VA 6.0 to 30.0; T 3.5 to 24.0 and SMA 4.0 to 27.0 from 2010 to 2020, respectively. The correlation coefficients between the five parameters (BOD5, COD, CF, TU and TSS) in the six localities were positive with the population. The values that showed a higher correlation with the population were: SLG (FC 0.86), SMTL (BOD5 0.61, COD 0.89, TSS 0.64) and SRT (TU 0.83), corresponding to highly polluted localities, which generates complex and severe environmental implications due to the unsustainable management of water resources. Achieving the sustainability of water in the watershed is a challenge that should be shared between society and state. This type of research can be a useful tool in making environmental management decisions.

scholarly journals Integration Multi-Model to Evaluate the Impact of Surface Water Quality on City Sustainability: A Case from Maanshan City in China

Processes ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Zhanbo Chen ◽  
Hui Zhang ◽  
Mingxia Liao
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Evaluation Method ◽  
Multiple Criteria Decision Making ◽  
Surface Water Quality ◽  
Policy Makers ◽  
Proposed Model ◽  
Evaluation Problem ◽  
The Impact

Water pollution is a worldwide problem that needs to be solved urgently and has a significant impact on the efficiency of sustainable cities. The evaluation of water pollution is a Multiple Criteria Decision-Making (MCDM) problem and using a MCDM model can help control water pollution and protect human health. However, different evaluation methods may obtain different results. How to effectively coordinate them to obtain a consensus result is the main aim of this work. The purpose of this article is to develop an ensemble learning evaluation method based on the concept of water quality to help policy-makers better evaluate surface water quality. A valid application is conducted to illustrate the use of the model for the surface water quality evaluation problem, thus demonstrating the effectiveness and feasibility of the proposed model.

scholarly journals Effects of Dumping Solid Waste on Water Quality of Surface Water Bodies

2021 ◽  
Vol 1 (1) ◽  
pp. 21-24
Author(s):  
Afshan Urooj ◽  
Rida Ilyas ◽  
Nimrud Humayun Humayun
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Solid Waste ◽  
Water Reservoir ◽  
Surface Water Quality ◽  
Waterborne Diseases ◽  
Water Parameters ◽  
Surface Water Bodies

Water pollution has been a hot debate for government and scientists. in addition, protecting river water quality is exceedingly immediate because of serious water pollution and global scarcity of water reservoir. This study was conducted to assess the effect of solid waste dumping on surface water quality. In return to achieve this, water samples were obtained in different months from site. Below site was selected due to the dumps on surface water. Water parameters pH, turbidity conductivity and temperature were determined using pH/conductivity meter, Most the values are within the permissible limits, but all the samples do not fulfill WHO requirements, site may have effects on human health due to waterborne diseases and on soil fertility.

scholarly journals The Assessment of the Surface Water Quality Using the Water Pollution Index: A Case Study of the Timok River (The Danube River Basin), Serbia

2012 ◽  
Vol 38 (1) ◽  
pp. 49-61 ◽  
Author(s):  
Jovana Brankov ◽  
Dragana Milijašević ◽  
Ana Milanović
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Surface Water Quality ◽  
Danube River ◽  
Water Pollution Index ◽  
The Danube River ◽  
The Republic

The Assessment of the Surface Water Quality Using the Water Pollution Index: A Case Study of the Timok River (The Danube River Basin), Serbia The Timok River (202 km long, 4547 km2 basin area) is located in East Serbia. It is a right tributary of the Danube River and one of the most polluted watercourses in Serbia. On the basis of the data provided by the Republic Hydrometeorological Service of Serbia, the paper presents an analysis of water quality and pollution using the combined physico-chemical WPI index (Water Pollution Index) calculated for two periods - 1993-96 and 2006-2009 at four hydrological stations: Zaječar-Gamzigrad (Crni Timok River), Zaječar (Beli Timok River), Rgotina (Borska Reka River) and Čokonjar (Timok River). The following parameters were taken into consideration: dissolved O2, O2 saturation, pH, suspended sediments, Five Day Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (CODMn), nitrites, nitrates, orthophosphates, ammonium, metals (Cu, Fe, Mn, Hg, Ni, Zn, Cd), sulphates and coliform germs. The average WPI values were calculated for the observed periods based on the comparison of the annual average values of the listed parameters and defined standard values for the I water quality class (according to the Regulation on the Hygienic Acceptability of Potable Water of the Republic of Serbia). The highest pollution degree was recorded in the Borska Reka River, where heavy metal levels (especially manganese and iron) were significantly increased. These metals are indicators of inorganic pollution (primarily caused by copper mining). Also, increased values of the organic pollution indicators (ammonium, coliform germs, Five-Day Biological Oxygen Demand - BOD5) in the Borska Reka and the Timok rivers are the result of uncontrolled domestic wastewater discharge.

scholarly journals Interpretation of the results of surface water quality applying multivariate analysis

2015 ◽  
Vol 69 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Borko Matijevic ◽  
Djendji Vastag ◽  
Milena Becelic-Tomin ◽  
Bozo Dalmacija ◽  
Suzana Apostolov
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Surface Water ◽  
Ecological Status ◽  
Surface Water Quality ◽  
Water Bodies ◽  
Chemical Parameters ◽  
Multivariate Statistical ◽  
Surface Water Bodies ◽  
The Given

Monitoring of surface water, through the analysis of physical-chemical and chemical parameters is a very important factor in the control of water quality and the health of living beings. Surface water quality is largely determined by the nature (atmospherics) and anthropogenic processes (discharge of municipal and industrial waste water). The results of monitoring of surface water are usually too expensive and difficult for correct interpreting, due to the spatial and temporal variations in water quality. By applying Multivariate statistical analysis can achieve significant reductions of the ampleness of the available data and the better interpretation of the obtained results about the quality and ecological status/potential of water. In this paper, were analyzed selected results of the analysis of surface water in AP Vojvodina in 2011 year by using multivariate statistical analysis (cluster analysis and principal components analysis). These techniques allow the interpretation of the results of the monitoring program of investigated surface water bodies and simultaneous identification of registered influence and potential sources of pollution on the quality of the given water bodies. With both methods applied and the division of water bodies tested in the same manner at the origin (natural and artificial) and on the basis of territorial belonging monitoring stations (Banat and Backa). Individual variations are discussed in corresponding differences in individual measuring stations in relation to others. Application of the given method, a grouping of the examined indicators of water quality in the following factors: hydro-chemical factor, ecological factor, the factor point pollution and diffusion. The obtained results confirm the initial hypothesis that the use of different statistical methods can identify the main factors that have an impact on the ecological status and ecological potential of water bodies and to improve the existing monitoring. In addition, analysis of the extracted surface water bodies where it is necessary to implement simultaneous monitoring of the biological quality elements to determine whether chemical parameters ensure the functioning of ecosystems.

scholarly journals The Natural Waters’ Quality Assessment at the Yamalo-Nenetsk Autonomous District Scientific Grounds (Pyrovskiy, Tazovskiy, Shuryshkarskiy, Polyarno-Uralskiy)

2019 ◽  
Author(s):  
Keyword(s):  
Water Pollution ◽  
Surface Water ◽  
Surface Waters ◽  
Pollution Index ◽  
Water Bodies ◽  
Water Pollution Index ◽  
Polar Urals ◽  
Autonomous District ◽  
Surface Water Samples ◽  
The Polar Urals

Surface water bodies are most vulnerable to chemical pollution. Objective: to study the hydro/chemical indicators of the state of surface waters of the Yamalo-Nenetsk Autonomous District and to assess their quality. In 2018, original studies of water bodies located in scientific testing grounds of the Yamalo-Nenetsk Autonomous District were conducted. The reservoirs are located in the zone of the northern and middle taiga, southern tundra and forest-tundra, on the eastern slope of the Polar Urals. Sampling was carried out according to generally accepted methods. In the surface water samples, the main hydro/ chemical parameters were determined. For an integrated assessment of water quality, the water pollution index (WPI) was used. The surface waters of the examined water bodies belong to low mineralized waters with low concentrations of basic anions and cations. All studied waters in terms of BOD5are classified as dirty and very dirty waters. In the surface water samples of the Polar Urals, high concentrations of benz [a] pyrene were detected. The waters of the Tazovsky landfill belong to moderately polluted waters, the waters of the Purriver are polluted, the waters of the Syny river are dirty. The water bodies of the Polar Urals are very dirty. High values of IZV are associated with elevated concentrations of benz(a)pyrene, BOD5, manganese, copper, zinc, and aluminum. The water pollution index more characterizes the unfavorable biogeochemical situation in the region. An elevated level of technogenic pollution due to benzo(a)pyrene, the source of which is the combustion of fossil fuels (pyrogenic), is established in the water bodies of the Polar Urals. The surface waters of the surveyed water bodies are low-quality waters.

Assessing the impact of climate change on water quality and quantity in the Elbe catchment using an open-data driven approach

2020 ◽  
Author(s):  
Alexander Wachholz ◽  
Seifeddine Jomaa ◽  
Olaf Büttner ◽  
Robert Reinecke ◽  
Michael Rode ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Water ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Water Bodies ◽  
Chemical Status ◽  
The Past ◽  
Surface Water Bodies ◽  
The Impact

<p>Due to global climate change, the past decade has been the warmest for Germany since the beginning of climate records. Not only air temperature but also precipitation patterns are changing and therefore influencing the hydrologic cycle. This will certainly influence the chemical status of ground- and surface water bodies as mobilization, dilution and chemical reactions of contaminants are altered. However, it is uncertain if those alterations will impact water quality for better or worse and how they occur spatially. Since water management in Europe is handled at the regional scale, we suggest that an investigation is needed at the same scale to capture and quantify the different responses of the chemical status of water bodies to climate change and extreme weather conditions. In this study, we use open-access data to (1) quantify changes in temperature, precipitation, streamflow and groundwater levels for the past 40 - 60 years and (2) assess their impacts on nutrient concentrations in surface- and groundwater bodies. To disentangle management from climate effects we pay special attention to extreme weather conditions in the past decade. Referring to the Water Framework Directive, we chose the river basin district Elbe as our area of interest. Preliminary results indicate that especially the nitrate concentrations in surface water bodies of the Elbe catchment were positively affected in the last two years, while no significant impact on nitrate levels in shallow groundwater bodies was witnessed. However, many wells showed the first significant increase in water table depth in both years since 1985, raising the question of how fast groundwater-surface water interactions will change in the next years.</p>

scholarly journals Network-Based Topological Exploration of the Impact of Pollution Sources on Surface Water Bodies

2022 ◽  
Vol 9 ◽  
Author(s):  
Viktor Sebestyén ◽  
Tímea Czvetkó ◽  
János Abonyi
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Wastewater Treatment Plants ◽  
Pollution Sources ◽  
Water Bodies ◽  
Quality Data ◽  
Critical Surface ◽  
Water Quality Data ◽  
Surface Water Bodies ◽  
The Impact

We developed a digital water management toolkit to evaluate the importance of the connections between water bodies and the impacts caused by pollution sources. By representing water bodies in a topological network, the relationship between point loads and basic water quality parameters is examined as a labelled network. The labels are defined based on the classification of the water bodies and pollution sources. The analysis of the topology of the network can provide information on how the possible paths of the surface water network influence the water quality. The extracted information can be used to develop a monitoring- and evidence-based decision support system. The methodological development is presented through the analysis of the physical-chemical parameters of all surface water bodies in Hungary, using the emissions of industrial plants and wastewater treatment plants. Changes in water quality are comprehensively assessed based on the water quality data recorded over the past 10 years. The results illustrate that the developed method can identify critical surface water bodies where the impact of local pollution sources is more significant. One hundred six critical water bodies have been identified, where special attention should be given to water quality improvement.

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