scholarly journals Review of Mathematical Models of Water Quality

2012 ◽  
Vol 19 (2) ◽  
pp. 197-211 ◽  
Author(s):  
Aleksandra Ziemińska-Stolarska ◽  
Jerzy Skrzypski

Review of Mathematical Models of Water Quality Water is one of the main elements of the environment which determine the existence of life on the Earth, affect the climate and limit the development of civilization. Water resources management requires constant monitoring in terms of its qualitative-quantitative values. Proper assessment of the degree of water pollution is the basis for conservation and rational utilization of water resources. Water quality in lakes and dams is undergoing continuous degradation caused by natural processes resulting from eutrophication and due to anthropogenic reasons. One of the tools that are used to solve problems of surface water pollution is modelling of changes which take place in lake waters and associated water quality changes. In the last thirty years a rapid development of mathematical modelling of water resources quality has been observed. A number of computer models have been designed which are successfully applied in practice in many countries, including Poland. This paper presents an overview of mathematical models for assessment of water quality in dam reservoirs. Description of the WASP program which will be used for modelling water quality in the Sulejow Reservoir was the focal point.

2020 ◽  
Vol 11 (4) ◽  
Author(s):  
V. P. Strokal ◽  
◽  
A. V. Kovpak ◽  

This review article aims to increase our understanding in the strengths, weaknesses, opportunities and threats of implementing the basin approach for water resources management in Ukraine. To this end, this article implements that SWOT analysis for discussing the transition from the administrative approach towards the basin approach. The SWOT analysis consists of the four main aspects: Strengths, Weaknesses, Opportunities and Threats. Strengths and Weakness include strong and weak points of implementing the basin approach, respectively. Opportunities are windows for implementing actions to facilitate the basin approach and increase the effectiveness of this approach. Threats include risks for implementing the basin approach. In order to better understand opportunities, the main drivers and causes of water pollution are also discussed in the article. Results of the review show that climate change affects the availability of water resources strongly. Human activities namely the poultry production are important polluters of water resources. The article summarizes the correct water resources management approaches and proposes four main strategies for implementing the basin approach within the SWOT analysis. The first strategy deals with the successful transition from the administrative management towards the basin management of water resources. The second strategy deals with an increase in the access of the public to the water resources information including water quality. The third strategy deals with integrating the European Union water-related directives in the national environmental policies. The fourth strategy deals with reducing pollution levels in water systems through improved technologies. Next steps are to develop an integrated approach to account for strengths, weaknesses, opportunities and threats of the four strategies. It is important to develop water indicators to facilitate an integrated assessment of water resources for different water uses while accounting for water quality. Future research can focus on future scenarios to project water quality under global change and to assess effects of the national policies on reducing future water pollution from urbanization and agricultural sectors.


2020 ◽  
Vol 101-102 (3-4) ◽  
pp. 41-51
Author(s):  
Maryna Shuliakova ◽  
Valeriy Mykhaylenko

The study depicts an anthropogenic impact on water quality in the Southern Bug river basin that provides water to about 8% of the population of Ukraine. The potential ecologically dangerous water bodies were identified for Khmelnytsky, Vinnytsia, Mykolayiv and Kirovograd regions. The cartographic data indicated water quality within the selected basin segments is presented. The quality of surface waters was assessed based on the water pollution index (IP). The multiplicity of Maximum Permissible Levels (MPL) for ammonium, sulphate and chloride ions together with the Biochemical Oxygen Demand (BOD5) were determined in water samples has been taken in observation points. The preconditions of the pollution problems and their scales were indicated. The list of enterprises whose activities have the greatest impact on the deterioration of water quality, the type of industries and the main water pollution sources are also highlighted. The economic mastering of the river basin is investigated. The basin has been inclined by anthropogenic impact within the last decades, leading to continuous water resource degradation. The holistic Driver-Pressure-State-Impact-Response (DPSIR) approach was applied to investigate the main causes and origins of anthropogenic pressures aiming at optimizing the measures of sustainable water resources management. The major driving forces that affect the Southern Bug river basin are non-safety industrial enterprises, intensive agriculture, and insufficient water resources management. The main pressures on water resources provided the unclean agricultural drains driving to water quality degradation. The recommended responses are based on the Water Framework Directive (WFD) 2000/60/EC and sum up to rationalization of water resources, an appropriate land use, municipal waste management and especially agriculture effluents. The proposed measures to optimize the water resources management in the Southern Bug River Basin will contribute to achievement of the objectives set by Goal 6 of the National Strategy for Sustainable Development SDG-2030.


2020 ◽  
Author(s):  
Elisa Coraggio ◽  
Dawei Han ◽  
Theo Tryfonas ◽  
Weiru Liu

<p>Water resources management is a delicate, complex and challenging task. It involves monitoring quality, quantity, timing and distribution of water in order to meet the needs of the population’s usage demand. Nowadays these decisions have to be made in a continuously evolving landscape where quantity and quality of water resources change in time with uncertainty.</p><p>Throughout history, access to clean water has always been a huge desire from urban settlements. People built towns and villages close to water sources. In most cases, streams brought clean water in and washed away polluted water. Nowadays the largest strains on water quality typically occur within urban areas, with degradation coming from point and diffuse sources of pollutants and alteration of natural flow through built-up areas.</p><p>Municipalities are acting to reduce the impact of climate change on existing cities and meet the needs of the growing urban population. In many places around the world costal flood defences were built involving construction of barriers that lock the tide and keep the water coming from in-land rivers creating reservoirs close to the shore.</p><p>These man-made barriers stop the natural cleaning action of the tide on transitional waters. This causes severe water quality problems like eutrophication and high levels of bacteria. On the positive side, these water reservoirs are used as recreational water, drinking water, agricultural water. As many more people are moving to live in urban areas, its overall demand for clean water and discharge of polluted water is constantly growing. Hence monitoring and foreseeing water quality in these urban surface waters is fundamental in order to be able to meet the water demand in future scenarios.</p><p>Many cities have already successfully implemented smart water technologies in many types of the water infrastructures. Monitoring water quality has always been a challenging and costly task. It has been so far the most difficult water characteristic to monitor remotely in real time. Lack of high frequency and accurate data has always been one of the main challenges. Today, using information and communication technologies (ICT) is possible to set up a real time water quality monitoring system that will allow to deepen the understanding of water quality dynamics leading to a better management of urban water resources.</p><p>A case study will be presented where a real time water quality monitoring system for the surface water of Bristol Floating Harbour has been deployed in the UK and water quality data have been analysed using artificial intelligence algorithms in order to understand the link between ambient weather data (i.e., precipitation, temperature, solar radiation, wind, etc.) and surface water pollution. Preliminary results of a water quality prediction model will also be presented showing the capabilities of predicting water quality as a new tool in municipality’s decision-making processes and water resources management.</p>


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ming Hu ◽  
Lei Li

With the rapid development of industrial and agricultural production, the rapid growth of population, and the acceleration of urbanization, the problem of water pollution is becoming more and more serious. Water shortages and pollution disrupt the balance of ecosystems and seriously limit people’s health and rapid economic development. Nowadays, the method of repairing sewage bodies using microbial landscape aquatic plants is attracting more and more attention, and it is a big challenge to maintain the sustainable development of human beings and nature. This paper uses floating rafts to combine microorganisms and landscape aquatic plants to conduct sewage treatment experiments. According to microorganisms, landscape aquatic plants absorb nutrients in the water body, examine the changes in water quality during the restoration of microorganisms’ landscape aquatic plants, and establish the growth of microorganisms’ landscape aquatic plants. The relationship with changes in water quality aims to provide a theoretical basis for the treatment of slow-flowing water bodies such as lakes, reservoirs, large artificial ponds, and rivers. In this paper, the experiments are divided into four groups (A (experimental sewage + microbial inoculant), B (experimental sewage + plant), C (experimental sewage + microbial inoculant + plant), and D (experimental sewage)). It can be divided into the total nitrogen content, total phosphorus content, and COD value data, and chromaticity detection of each group of the test is continuously monitored weekly to comprehensively detect and observe the repair effect on contaminated water bodies. The experiment proved that the water quality of the three treatment groups was significantly clearer than that of the blank control group, and its clarity: microorganism + plant > microorganism > plant > blank control group. This shows that the combination of microorganisms and landscape aquatic plants can effectively reduce the various pollutants contained in sewage and reduce the color of sewage. Treating sewage using plant technology that combines microorganisms is feasible and promising.


Water ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 3534
Author(s):  
Bofan Wang ◽  
Yutong Tian ◽  
Xuanjin Li ◽  
Chunhui Li

In addition to the social economy and the rapid development of industry and agriculture, water demand is increasing and poses challenges in the over-exploitation of water resources. This research establishes a model to assess the sustainable exploitation of water resources based on system dynamics theory and STELLA software, which solves the imbalanced allocation of industrial water, agricultural water and domestic water. The model is composed of two parts: the water quantity system (including economy, population, water availability and water demand) and the water quality system (composed of the aquatic environment), which is suitable for Chengde City with a water resource shortage. The proposed model is established by data of Chengde City from 2007 to 2016 and is verified by 2017 data. Furthermore, in order to compare the water quality and water utilization of Chengde City under different development scenarios up to 2025, the sensitivity analysis of each variable (e.g., population) is carried out in this model, and thereby the water resource utilization scenarios are acquired. Specifically, four scenarios are designed and denoted: Scenario 1: keeping the status quo unchanged, Scenario 2: slowing down economic development and devoting more energy to environmental protection, Scenario 3: only focusing more on economic development and Scenario 4: aiming at steady and rapid economic growth and an eco-friendly environment. The results shows that Scenarios 2 and 3 facilitate high-effective water resource utilization compared with the current development, Scenario 1. Scenario 4 fosters the balance of water resources supply–demand in the future and preserves the water quality. This study provides an inspiring method for realizing the sustainable utilization and optimizing allocation of water resources in Chengde City.


1970 ◽  
Vol 34 (1) ◽  
pp. 89-93 ◽  
Author(s):  
Muhammad Zamir Hossain ◽  
Gazi Md Ahsanul Kabir ◽  
Shamshad Begum Quraishi

Air, soil and water are continuously being polluted by the anthropogenic activities andsometimes by natural calamities. Among the three components, water pollution perhaps is the mostimportant one. The contamination of water resources and biota is of major concern especially inindustrialized countries because of the discharge of toxic, persistent and bio-accumulativesubstances from various sources. Household wastes dumped by the city dwellers contribute also toa great extent to the pollution of urban areas.Key words: Contamination; Lake waters; Metals; Inorganic pollutantsDOI: 10.3329/jbas.v34i1.5495Journal of Bangladesh Academy of Sciences, Vol.34, No.1, 89-93, 2010


2020 ◽  
Vol 5 (3) ◽  
pp. 64-70
Author(s):  
Aysulu Aydarova ◽  

This article explores the models of water resources management in irrigation systems. The article provides a classification of mathematical models for the optimal distribution of water resources. The work also substantiates the need to develop a new model of water resources management for distributed irrigation systems.


Sign in / Sign up

Export Citation Format

Share Document