Field measurement and modelling of two-dimensional river mixing

2001 ◽  
Vol 1 (2) ◽  
pp. 57-65 ◽  
Author(s):  
G. Putz ◽  
D.W. Smith
Keyword(s):  
Water Quality ◽  
Computer Modelling ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Two Dimensional ◽  
Concentration Gradients ◽  
Athabasca River ◽  
Transverse Mixing ◽  
Treatment Facilities ◽  
Receiving Stream

Wastewater treatment facilities commonly discharge effluent to large receiving streams. An effluent plume may easily extend for many tens of kilometres downstream of a discharge point. A characteristic of the effluent plume is the existence of significant transverse concentration gradients in the river as the discharged effluent slowly mixes with the river water. Within this two-dimensional, transverse mixing zone accurate delineation of the effluent plume is essential for water quality monitoring and for management of the receiving stream. The capability to mathematically model two-dimensional river mixing and to predict effluent plume concentrations is a valuable tool for water quality management. An overview of two-dimensional river mixing theory is presented. Tracer methods for delineating effluent plumes resulting from continuous or transient input to rivers are described, and the results of tracer studies conducted on the Athabasca River in western Canada are presented. A computer modelling procedure for simulating two-dimensional river mixing is described. Application of the model is explained and comparison of model output to measured tracer concentrations is presented.

Optimization of Regional Water Quality Monitoring Strategies

1987 ◽  
Vol 19 (5-6) ◽  
pp. 721-727 ◽  
Author(s):  
J. Pintér ◽  
L. Somlyódy
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Primary Objective ◽  
Lake Balaton ◽  
Monitoring Networks ◽  
Monitoring Strategies ◽  
Time Period ◽  
Computational Aspects ◽  
Indicator Model

A conceptual framework is presented for optimizing the operation of regional monitoring networks which assist water quality management. The primary objective of the studied network is to determine the annual nutrient load carried into a lake by its tributaries. Following the description of the basic (single time–period, single water quality indicator) model, several extension possibilities and computational aspects are highlighted. The suggested methodology is illustrated by a numerical example, concerning the surveillance system on the tributaries of Lake Balaton (Hungary).

Systems view of integrated water quality monitoring within the requirements of the new national water policy in South Africa

1998 ◽  
Vol 38 (11) ◽  
pp. 141-148 ◽  
Author(s):  
P. Marjanovic ◽  
M. Miloradov
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Water Policy ◽  
Systems Approach ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Point Sources ◽  
Quality Monitoring ◽  
Efficient Manner ◽  
National Water

The new National water policy will change the way water quality is managed in South Africa. The paper considers the water policy and the repercussions it will have for water quality monitoring in South Africa. Using the systems approach the paper discusses an integrated water quality monitoring system for ambient water quality and point and non point sources of aquatic pollution. The proposed methodology makes possible continuos assessment of water quality in an efficient manner so as to support water quality management in South Africa.

scholarly journals Analysis Quality of Water River and Quality of Well Water in The Surrounding of Rejo Agung Baru Sugar Factory Madiun

2018 ◽  
Vol 10 (1) ◽  
pp. 1 ◽  
Author(s):  
Susanti Oktavia Ningrum
Keyword(s):  
Water Quality ◽  
Agricultural Waste ◽  
Water Quality Management ◽  
Domestic Wastewater ◽  
Quality Standards ◽  
Water Quality Monitoring ◽  
Well Water ◽  
Sugar Factory ◽  
Quality Of Water

The quality of wastewater sugar factory produced will affect the environmental health quality around the factory. The study aimed to analyze the quality of water river and the quality of wells around the Rejo Agung Baru sugar factory in the Madiun. This study is an descriptive observational. The samples comprised of 5 sampels of water rivers and 7 samples of well water. The results of the study at the quality of water river showed that there are parameters (BOD5 and temperature) unqualified with the quality standards based on the East Java Regional Regulation No. 2 of 2008 about Water Quality Management and Water Pollution Control in the East Java, the quality of water river is also affected by the waste water, trash, agricultural waste, and other pollutants. The result of measuring the quality of water well showed that there are parameters (organic substance) unqualified with quality standards based on Permenkes No: 416/Menkes/PER/ IX/1990 about the Terms and Water Quality Monitoring, the quality of Well water is also affected by the quality of water river, a distance of toilet, domestic wastewater and other pollutants. The quality of water river and the quality of well water have decreased that required supervision on the quality of a river water and the quality of water of a well.

scholarly journals Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia

2015 ◽  
Vol 41 (4) ◽  
pp. 96-103 ◽  
Author(s):  
Danijela Voza ◽  
Milovan Vukovic ◽  
Ljiljana Takic ◽  
Djordje Nikolic ◽  
Ivana Mladenovic-Ranisavljevic
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Surface Water Quality ◽  
Principal Component ◽  
Water Quality Assessment ◽  
Water Quality Monitoring ◽  
Danube River ◽  
Multivariate Techniques ◽  
Data Set ◽  
Political Issue

AbstractThe aim of this article is to evaluate the quality of the Danube River in its course through Serbia as well as to demonstrate the possibilities for using three statistical methods: Principal Component Analysis (PCA), Factor Analysis (FA) and Cluster Analysis (CA) in the surface water quality management. Given that the Danube is an important trans-boundary river, thorough water quality monitoring by sampling at different distances during shorter and longer periods of time is not only ecological, but also a political issue. Monitoring was carried out at monthly intervals from January to December 2011, at 17 sampling sites. The obtained data set was treated by multivariate techniques in order, firstly, to identify the similarities and differences between sampling periods and locations, secondly, to recognize variables that affect the temporal and spatial water quality changes and thirdly, to present the anthropogenic impact on water quality parameters.

Systems approach to effective water quality management in the Republic of South Africa, existing situation and expected future developments

1998 ◽  
Vol 38 (11) ◽  
pp. 77-85
Author(s):  
P. Marjanovic ◽  
M. Miloradov ◽  
F. van Zyl
Keyword(s):  
South Africa ◽  
Water Quality ◽  
Quality Management ◽  
Water Policy ◽  
Systems Approach ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Point Sources ◽  
Sources Of Pollution ◽  
Management Functions

The new National water policy will change the way water quality is managed in South Africa. The paper considers the water policy and the repercussions it will have for water quality management in South Africa and proposes a system that can be used to come up with optimum solutions for water quality management. The proposed solution integrates policy and institutional arrangements with the Cadastral system for point and non point sources of pollution and optimisation tools to ensure optimal management of water quality at any given time. The water quality management functions catered for by the proposed system are: resource allocation for pollution discharge, water quality protection, water quality monitoring, planning, development and operation.

scholarly journals A Multivariate and Spatiotemporal Analysis of Water Quality in Code River, Indonesia

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mochamad A. Pratama ◽  
Yan D. Immanuel ◽  
Dwinanti R. Marthanty
Keyword(s):  
Water Quality ◽  
Land Cover ◽  
Agricultural Land ◽  
Water Quality Management ◽  
Temporal Trends ◽  
Oxygen Demand ◽  
Principal Component ◽  
Water Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data

The efficacy of a water quality management strategy highly depends on the analysis of water quality data, which must be intensively analyzed from both spatial and temporal perspectives. This study aims to analyze spatial and temporal trends in water quality in Code River in Indonesia and correlate these with land use and land cover changes over a particular period. Water quality data consisting of 15 parameters and Landsat image data taken from 2011 to 2017 were collected and analyzed. We found that the concentrations of total dissolved solid, nitrite, nitrate, and zinc had increasing trends from upstream to downstream over time, whereas concentrations of parameter biological oxygen demand, cuprum, and fecal coliform consistently undermined water quality standards. This study also found that the proportion of natural vegetation land cover had a positive correlation with the quality of Code River’s water, whereas agricultural land and built-up areas were the most sensitive to water pollution in the river. Moreover, the principal component analysis of water quality data suggested that organic matter, metals, and domestic wastewater were the most important factors for explaining the total variability of water quality in Code River. This study demonstrates the application of a GIS-based multivariate analysis to the interpretation of water quality monitoring data, which could aid watershed stakeholders in developing data-driven intervention strategies for improving the water quality in rivers and streams.

Advanced River Quality Monitoring in the Ruhr Basin

1999 ◽  
Vol 40 (10) ◽  
pp. 145-152 ◽  
Author(s):  
Harro Bode ◽  
Ernst A. Nusch
Keyword(s):  
Water Quality ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The European Union ◽  
Wastewater Discharge ◽  
The Past ◽  
Monitoring Strategies ◽  
River Quality ◽  
On Line

The water quality management of Ruhr River Association is challenged by the dual use pattern, i. e. drinking water supply and wastewater discharge simultaneously into the same river. In the past 10 years accidental or illegal pollution occurred statistically every twenty days. Identification of water pollutants (and polluters) was often impossible because water samples could not be secured for analysis in time. The water quality surveillance system could be extended with financial support of the European Union by another two automated monitoring stations equipped with sophisticated on-line analysators (e. g. for ammonia, chromium, chlorophyll fluorescence) and biomonitors using water fleas and mussels as detectors. Monitoring strategies, methods, techniques and costs for buildings, equipment and operation are reported. Experience and results obtained so far let assume that the integrated water quality monitoring is able to prove its merits concerning reconnaissance of accidental water pollution and subsequent early warning of water works.

scholarly journals DYNAMIC SURFACE WATER QUALITY MANAGEMENT SYSTEM

2021 ◽  
Vol 1 (6) ◽  
pp. 144-149
Author(s):  
N.O. Popovyan ◽  
◽  
A.B. Usov
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Quality Management System ◽  
Water Quality Management ◽  
Surface Water Quality ◽  
Maximum Permissible Level ◽  
Dynamic Surface ◽  
Treatment Facilities ◽  
Reverse Situation

The article examines the interaction of subjects of a two-level hierarchical system. An industrial enterprise discharges wastewater into the river as a result of its work. To prevent the ingress of a large amount of pollutants, water treatment facilities have been installed, the operation of which is regulated by the level of technical support. The state allocates funds to support the activities of the enterprise and regulates the standards for the discharge of pollutants. The interests of both subjects are to maximize their target functional. The article is devoted to the problem of finding optimal control in a mathematical model of water quality management in a dynamic system. Examples of calculations for specific parameters are given. Based on the examples given, we can draw conclusions about the influence of parameters on the system. The type of the emitted substance has the greatest influence on the system, namely the values of such parameters as the initial concentration and the coefficient of non-conservativeness. With long-term interaction, the speed of self-cleaning of the river plays a significant role. At a low level of self-purification of the river, the concentration of substances in the river almost reaches the maximum permissible level. The deterioration of the environmental situation leads to losses on the part of the Host. The reverse situation allows us to continue cooperation in the future, while receiving a greater gain. Also, the winnings of the subjects significantly depend on the volume of investments.

scholarly journals The Quality of Water Resources as a Factor of Regional Strategizing

2019 ◽  
pp. 143-153
Author(s):  
Natalya Kosolapova ◽  
Lyudmila Matveeva ◽  
Olga Chernova
Keyword(s):  
Water Quality ◽  
Economic Development ◽  
Water Resources ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
The State ◽  
Water Users ◽  
Quality Of Water ◽  
Social And Economic Development

The purpose of this article is to study the processes of water quality management, which are considered as the main factor of the strategic social and economic development of the region and also to form tools supporting this process. The article analyzes the state and development trends of the water sector of the Rostov region from the standpoint of solving the problems of its strategic social and economic development. The authors demonstrate the possibility of intellectualization of regional strategizing processes through the use of water quality monitoring of the knowledge of experts with the use of fuzzy logic. The review of existing approaches to the assessment of water resources quality is given. It is shown that these approaches do not take into account the different requirements of water users to the content of chemicals and compounds in the water but assess the state of water resources in terms of conformity of concentration indices of polluting substances to maximally allowable concentrations. The authors suggest assessing the quality of water resources in compliance with the criteria of the contamination of water resources set for every category of water users. The approach proposed by the authors implies the assessment of water quality in two modes – differentiated and complex. Meanwhile, the suggested tools are universal and can be used in the systems of regional strategizing of the use of various water basins. A conceptual representation of the structure of the management system of water resources quality in the region within the system of regional strategizing is formed and the main problems of its development are identified.

scholarly journals Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

2020 ◽  
Vol 12 (13) ◽  
pp. 5374 ◽  
Author(s):  
Stephen Stajkowski ◽  
Deepak Kumar ◽  
Pijush Samui ◽  
Hossein Bonakdari ◽  
Bahram Gharabaghi
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
Water Temperature ◽  
Real Time ◽  
River Water ◽  
Time Window ◽  
Water Quality Management ◽  
Water Quality Monitoring ◽  
Lstm Network ◽  
River Water Temperature

Advances in establishing real-time river water quality monitoring networks combined with novel artificial intelligence techniques for more accurate forecasting is at the forefront of urban water management. The preservation and improvement of the quality of our impaired urban streams are at the core of the global challenge of ensuring water sustainability. This work adopted a genetic-algorithm (GA)-optimized long short-term memory (LSTM) technique to predict river water temperature (WT) as a key indicator of the health state of the aquatic habitat, where its modeling is crucial for effective urban water quality management. To our knowledge, this is the first attempt to adopt a GA-LSTM to predict the WT in urban rivers. In recent research trends, large volumes of real-time water quality data, including water temperature, conductivity, pH, and turbidity, are constantly being collected. Specifically, in the field of water quality management, this provides countless opportunities for understanding water quality impairment and forecasting, and to develop models for aquatic habitat assessment purposes. The main objective of this research was to develop a reliable and simple urban river water temperature forecasting tool using advanced machine learning methods that can be used in conjunction with a real-time network of water quality monitoring stations for proactive water quality management. We proposed a hybrid time series regression model for WT forecasting. This hybrid approach was applied to solve problems regarding the time window size and architectural factors (number of units) of the LSTM network. We have chosen an hourly water temperature record collected over 5 years as the input. Furthermore, to check its robustness, a recurrent neural network (RNN) was also tested as a benchmark model and the performances were compared. The experimental results revealed that the hybrid model of the GA-LSTM network outperformed the RNN and the basic problem of determining the optimal time window and number of units of the memory cell was solved. This research concluded that the GA-LSTM can be used as an advanced deep learning technique for time series analysis.

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