scholarly journals Bayesian networks application to forecast the national economies development taking into account the water factor

2021 ◽  
Vol 915 (1) ◽  
pp. 012033
Author(s):  
N Savina ◽  
N Kovshun ◽  
V Kostrychenko ◽  
M Voronenko ◽  
V Koval

Abstract The influence of this factor on the development of national economies is studied. This study uses the Bayesian network, which illustrates the interaction of indicators of water supply and water use and includes nodes that are formally represented as vectors. The most valuable result of the modelling is not the general forecast obtained with the help of the model, but the structure of the network itself, which allows to identify connections within the model and explain the reason for the emerging interdependencies. modelling using Bayesian networks confirmed the fact that there is a direct relationship between GDP and water consumption and drainage. The obtained results confirm the possibility of achieving an increase in the overall GDP of the country with an increase in the amount of water resources used for production needs. However, this should be implemented in combination with a simultaneous reduction in the volume of return (wastewater) discharged into surface water bodies.

Author(s):  
V.K. Khilchevskyi

Over the past five years (2014-2021), there have been significant changes in regulatory methods for assessing water quality for various purposes, which is due to Ukraine’s course towards European integration. An important feature was the cancellation of the acts of sanitary legislation of the Ukrainian SSR and the USSR (from 01.01.2017), which were applied in Ukraine for a long time (order of the Cabinet of Ministers of Ukraine of 2016). The Law of Ukraine “On Amendments to Certain Legislative Acts of Ukraine Concerning the Implementation of Integrated Approaches in Water Resources Management Based on the Basin Principle” (2016) amended the Water Code of Ukraine regarding hydrographic zoning and water monitoring in accordance with the provisions of the EU Water Framework Directive. In 2018, by a resolution of the Cabinet of Ministers of Ukraine, the “Procedure for the implementation of state monitoring of waters” was approved. In 2019, the Ministry of Natural Resources of Ukraine approved the normative “Methodology for assigning a surface water array to one of the classes of the ecological and chemical states of a surface water array, as well as assigning an artificial or significantly altered surface water array to one of the classes of the ecological potential of an artificial or significantly altered surface water array” The objects of state monitoring of waters are land and ground water bodies and sea waters. Surface water body – a specially defined surface water body or part of it. The body of surface waters can be classified into one of five categories: 1) rivers; 2) lakes; 3) transitional waters; 4) coastal waters; 5) artificial or substantially altered surface water bodies. The program of state monitoring of waters provides for control over four groups of indicators: 1) biological; 2) physical and chemical; 3) chemical; 4) hydromorphological. Based on the data and information obtained as a result of the state monitoring of the waters of surface and groundwater bodies, the ecological and chemical state of the surface water bodies, the ecological potential of artificial or significantly altered surface water bodies, the quantitative and chemical state of the groundwater bodies are determined, taking into account which river basin management plans and assess the level of achievement of environmental objectives. The purpose of this study is to highlight the approaches that have developed at the present stage to the regulation of water quality for various purposes, the main of which are: environmental; hygienic (household and drinking and cultural and household or recreational water use), fishery. If, when assessing the quality of water for environmental purposes, a deviation from the maximum permissible concentrations (MPC) was made, then in other areas of water use, the MPC standards remain relevant. The importance of this study also lies in the need to convey generalized information to a wide range of authors who are interested in water quality issues.


Author(s):  
M.I. Lytvynenko ◽  
O.I. Zaliubovska ◽  
M.G. Shcherban ◽  
T.I. Tiupka ◽  
V.V. Zlenko ◽  
...  

Today, in Kharkiv region, most of the surface water bodies as a result of man-made and anthropogenic loading have lost their natural purity and the ability to self-purify. One of the features of water resources of the region is that the rivers, which serve as the main sources of water supply, are also used as receivers of treated wastewater. In order to analyze the state of pollution of the aquifer of Kharkiv region during 2007–2016, laboratory studies of water of surface water reservoirs of the 1st and 2nd categories were conducted and summarized. The researchers have found that over the past 10 years the pollution of surface water bodies of the 1st category according to sanitary-chemical indicators is at the level of 4.5%, microbiological indicators – 14%, water pollution of reservoirs of the 2nd category is 20% and 12%, respectively. In order to prevent the occurrence of diseases of different etiology among the population of Kharkiv region, the source of which is the water factor, a set of methodical and practical measures that will contribute to the improvement of the surface water of the region has been developed


2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Trey Dronyk-Trosper ◽  
Brandli Stitzel

AbstractAs water rights and water usage become an ever more important part of municipalities’ and states’ way of life, it becomes important to understand what policies can be effective for encouraging conservation of water. One method that has been employed at various times and throughout numerous communities is to limit outdoor watering days. We use a dataset with over 3 million property-month observations during the 2007–2015 period in Norman, Oklahoma, to identify whether the periodic implementation of mandatory water restrictions reduces water usage. Our data allow us to exploit variance in the timing of these water restriction programs. Our findings indicate that this policy reduces water consumption by 0.7 % of total water consumption. Additionally, we use home assessment prices to identify heterogeneity in this response, finding that high priced homes are more responsive to water use restrictions.


2021 ◽  
Author(s):  
Andreas Gericke ◽  
Judith Mahnkopf ◽  
Markus Venohr

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 499
Author(s):  
Salmatta Ibrahim A ◽  
Fayyaz Ali Memon ◽  
David Butler

Ensuring a sustainable urban water supply for developing/low-income countries requires an understanding of the factors affecting water consumption and technical evidence of individual consumption which can be used to design an improved water demand projection. This paper compared dry and rainy season water sources available for consumption and the end-use volume by each person in the different income groups. The study used a questionnaire survey to gather household data for a total of 398 households, which was analysed to develop the relationship between per capita water consumption characteristics: Socio-economic status, demographics, water use behaviour around indoor and outdoor water use activities. In the per capita water consumption patterns of Freetown, a seasonal variation was found: In the rainy season, per capita water consumption was found to be about 7% higher than the consumption for the full sample, whilst in the dry season, per capita water consumption was almost 14% lower than the full survey. The statistical analysis of the data shows that the average per capita water consumption for both households increases with income for informal slum-, low-, middle- and high-income households without piped connection (73, 78, 94 and 112 L/capita/day) and with connection (91, 97, 113 and 133 L/capita/day), respectively. The collected data have been used to develop 20 statistical models using the multiple linear stepwise regression method for selecting the best predictor variable from the data set. It can be seen from the values that the strongest significant relationships of per capita consumption are with the number of occupants (R = −0.728) in the household and time spent to fetch water for use (R = −0.711). Furthermore, the results reveal that the highest fraction of end use is showering (18%), then bathing (16%), followed by toilet use (14%). This is not in agreement with many developing countries where toilet use represents the largest component of indoor end use.


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