Mineral Water Quality Influencing Factors in their Selection for Use

2021 ◽  
Vol 42 ◽  
pp. 203-208
Author(s):  
Mihai Demian ◽  
Gabriela Demian
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Influencing Factors ◽  
Therapeutic Effect ◽  
Mineral Water ◽  
Mineral Waters ◽  
Selection For ◽  
Physical And Chemical ◽  
Selection Of

The paper presents a way of selecting flat or carbonated mineral waters depending on the purpose for which it wishes to be used. A good mineral water must meet certain physical and chemical qualities at certain temperatures and have the appropriate pH to have the desired therapeutic effect. The analysis of the purpose for which the selection of mineral waters is desired results in the characteristics of the water to be analyzed, compared, and for which a weight of their influence in the decision-making is established. For selected waters, the characteristics receive scores that will in turn influence the selection of the recommended type of mineral water. The conclusions of the paper allow the establishment of a certain type of mineral water for the characteristics imposed by the desired purpose.

scholarly journals Chemical study and influence in diabetic mellitus of the Khanui and Unit cold mineral waters in Bulgan province

2018 ◽  
pp. 63-70
Author(s):  
Tsiiregzen A ◽  
Oyuntsetseg D ◽  
Odontuya G ◽  
Khureldavaa O ◽  
Amarsanaa B
Keyword(s):  
Water Quality ◽  
Biological Activity ◽  
Mineral Water ◽  
Chemical Properties ◽  
Mineral Waters ◽  
Orthosilicic Acid ◽  
Special Role ◽  
Diabetic Mellitus ◽  
Quality Study ◽  
Physical And Chemical

We conducted this study in 4 seasons of the year depending on the seasonal of cold mineral waters of the Khanui and Unit in Bulgan province. The results were analyzed in physical and chemical characteristics, macro, micro elements and biological activity for that investigate how to influence the components dynamic for diabetic mellitus. The samples were collected in summer and autumn of 2017, winter and spring of 2018, and determined physical and chemical properties on the field and in laboratories. In the Khanui cold mineral water, the water quality study reveals that pH of water varies from 7.34 to 7.9, EC ranges 38-50.8 mS/m, TDS values range from 313.03 to 391.63 mg/l and belongs to HCO3-- Ca2+, Na+ type. In the Unit cold mineral water, the water quality study reveals that pH of water varies from 7.18-7.43, EC ranges from 26.9-30.5 mS/m, TDS values range from 251.17 to 286.25 mg/l and belongs to HCO3-- Ca2+, Mg2+ type. Results of regime study of the Khanui and Unit cold mineral waters are shown that the no seasonal changes for macro-chemical composition. Although, the orthosilicic acid (H4SiO4) and fluorine (F) as a biological activity elements have decreased significantly in the summer compared with other seasons. Totally 53 elements were analyzed in the Khanui and Unit cold mineral waters. Ca2+, Mg2+, HCO3- ions have a special role for the treatment of diabetic mellitus. Due to the cold mineral water of the Unit is containing of HCO3-- Ca2+, Mg2+ and Se, it can have a positive effect on the treatment of diabetes. Булган аймгийн Хануй, Уньтын хүйтэн рашааны горимын судалгаа, чихрийн шижин өвчинд нөлөөлөх нөлөөлөл Хураангуй: Бид энэхүү судалгааг Булган аймгийн Баян-Агт сумын нутагт орших Хануйн хүйтэн рашаан, Хутаг-Өндөр сумын нутагт орших Уньтын хүйтэн рашааны ундаргуудад улирлаас хамааруулан жилийн 4 улиралд судалгааг явуулж үр дүнг боловсруулан уг рашаануудад агуулагдаж буй физик-хими, макро, микро хими, биологийн идэвхит элементүүд нь чихрийн шижин өвчинд нөлөөлөх нөлөөллийг тогтоох зорилгоор хийж гүйцэтгэсэн. Судалгаанд хамрагдсан дээжүүдийг 2017 оны зун, намар, 2018 оны өвөл, хаврын улиралд тус тус цуглуулж газар дээр болон лабораторид физик, химийн шинж чанарыг тодорхойлсон. Хануйн хүйтэн рашааны 3 ундарга нь саармагаас сул шүлтлэг орчинтой (7.34-7.9), цахилгаан дамжуулах чанар (EC) нь 38-50.8 mS/m, ерөнхий эрдэсжилт 313.03-391.63 мг/л, гидрокарбонат-кальци, натрийн төрлийн рашаан төст усны ангилалд хамаарагдаж байна. Уньтын хүйтэн рашааны 3 ундарга нь саармаг орчинтой (7.18-7.43), цахилгаан дамжуулах чанар (EC) нь 26.9-30.5 mS/m, ерөнхий эрдэсжилт 251.17-286.25 мг/л гидрокарбонат-кальци, магнийн төрлийн рашаан төст усны ангилалд хамаарагдаж байна. Хануй, Уньтын хүйтэн рашаануудын горимын судалгааны үр дүнгээс харахад макро химийн найрлагын хувьд улирлын өөрчлөлт ажиглагдсангүй. Харин эмчилгээний идэвх үзүүлдэг элементүүд болох орто цахиурын хүчил (H4SiO4) болон фторын (F) агуулга нь зуны улиралд бусад улирлаас тоон утгын хувьд багассан байна. Судалгаанд хамрагдсан дээжүүдэд микро химийн шинжилгээг 53 үзүүлэлтээр тодорхойлоход 25 элемент тоон утгатай илэрсэн. Чихрийн шижин өвчний эмчилгээнд макро элементүүдээс Ca2+, Mg2+, HCO3- гэсэн ионууд онцгой үүрэг гүйцэтгэдэг байна. Уньтын хүйтэн рашаан HCO3-- Ca2+, Mg2+ төрлийн усны ангилалд багтаж байгаа бөгөөд Se илэрсэн нь чихрийн шижин өвчний эмчилгээнд эерэг нөлөө үзүүлэх боломжтойг харуулж байна. Түлхүүр үг: Хануй, Уньт, хүйтэн рашаан, химийн найрлага, горимын судалгаа, чихрийн шижин

scholarly journals Evaluation of water supply alternatives for mineral water teaching factory

2021 ◽  
Vol 930 (1) ◽  
pp. 012018
Author(s):  
M Sarosa ◽  
R I Hapsari ◽  
D Moentamaria ◽  
S Adhisuwignjo ◽  
R I Putri ◽  
...  
Keyword(s):  
Water Quality ◽  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Mineral Water ◽  
Industrial Process ◽  
Multicriteria Decision Making ◽  
Raw Material ◽  
Educational Setting ◽  
Hierarchy Process ◽  
Selection Of

Abstract The teaching factory (TEFA) in State Polytechnic of Malang (Polinema) attempts to address the replication of the real industrial process inside the traditional educational setting. In Polinema, the TEFA deals with the bottled mineral drinking water, and its supply chain starts from the water purifying until the marketing. A key aspect of achieving an economically and technically feasible production is the selection of wellspring as the source of raw material. The potential water sources are located at Wringinsongo, Ampeldento, Prigen, and Ngijo in Malang area. A decision support system is required to select the suitable source by integrating weighted tangible and intangible criteria, namely water quality, distance, and willingness to pay. Multicriteria decision-making by analytical hierarchy process is applied to assign criteria weight and select the source. The results demonstrate that Ngijo wellspring is recommended, followed by Wringinsongo, Ampeldento, and Prigen according to the performance value. The system could serve as a tool for the selection, instead of intuitive judgment with a better compromise for improving the TEFA productivity.

scholarly journals Short-term forecasting of the chloride content in the mineral waters of the Ustroń Health Resort using SARIMA and Holt-Winters models

2015 ◽  
Vol 3 (4) ◽  
pp. 57-65
Author(s):  
Dominika Dąbrowska ◽  
Marek Sołtysiak ◽  
Jan Waligóra
Keyword(s):  
Water Quality ◽  
Mineral Water ◽  
Numerical Models ◽  
Moving Average ◽  
Forecast Accuracy ◽  
Chloride Content ◽  
Mineral Waters ◽  
Health Resort ◽  
Physically Based ◽  
Short Term Forecasting

Abstract The Ustroń S.A. Health Resort (southern Poland) uses iodide-bromide mineral waters taken from Middle and Upper Devonian limestones and dolomites with a mineralisation range of 110-130 g/dm3 for curative purposes. Two boreholes - U-3 and U3-A drilled in the early 1970s were exploited. The aim of this paper is to estimate changes in mineral water quality of the Ustroń Health Resort by taking into consideration chloride content in the water from the U-3 borehole. The data has included the results of monthly analyses of chlorides from 2005 to 2015 during the tests carried out by the Mining Department of the Health Resort. The triple exponential smoothing (ETS) function and the Seasonal Autoregressive Integrated Moving Average (SARIMA) method of modelling time series were used for the calculations. The ability to properly forecast mineral water quality can result in a good status of the exploitation borehole and a limited number of failures in the exploitation system. Because of the good management of health resorts, it is possible to acquire more satisfied customers. The main goal of the article involves the real-time forecast accuracy, obtained results show that the proposed methods are effective for such situations. Presented methods made it possible to obtain a 24-month point and interval forecast. The results of these analyses indicate that the chloride content is forecast to be in the range of 72 to 83 g/l from 2015 to 2017. While comparing the two methods of analysis, a narrower range of forecast values and, therefore, greater accuracy were obtained for the ETS function. The good performance of the ETS model highlights its utility compared with complicated physically based numerical models.

External Pipeline Coating Selection for New and Existing Buried Pipelines

1996 ◽  
Author(s):  
Mick D. Brown
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Buried Pipelines ◽  
Coating Performance ◽  
Risk Of Failure ◽  
Selection For ◽  
Competitive Products ◽  
Safe Approach ◽  
Selection Of

The majority of existing and new pipelines are externally coated. The opportunity to examine buried pipelines has shown that selection of both shop and over-the-ditch field applied coatings has resulted in many failures. Coating selection in 1996 has become more complex because of the abundance of available products. Not only are there many available coating types but there are also competitive products within each category. The safe approach is to select a coating that will perform well under the most severe conditions but this approach can be very costly and often a lesser coating is selected with the realization that it affects the risk of failure. This paper addresses the criteria that need to be considered during coating selection and provides an outline for the decision making process. Examples are used to illustrate the effect of different factors on coating performance.

Location selection for Installation of Surface Water Treatment Plant by Applying a New Sinusoidal Analytical Hierarchy Process

2019 ◽  
Vol 8 (3) ◽  
pp. 20-42
Author(s):  
Sudipa Choudhury ◽  
Apu Kumar Saha
Keyword(s):  
Decision Making ◽  
Water Treatment ◽  
Surface Water ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Location Selection ◽  
Simulation And Optimization ◽  
Surface Water Treatment ◽  
Selection For ◽  
Selection Of

Water treatment plants (WTPs) are responsible for ensuring supply of healthy water to urban and rural consumers for drinking and other related purposes. But the arbitrary selection of a location for installation or relocation of WTPs often fails the purpose of the plant. Presently studies in location selection for water treatment plant are rare. Multi-criteria decision making (MCDM) methods and bagged polynomial neural networks (PNN) were found to be exemplary and easy to use tools for prediction, simulation and optimization of decision-making objectives. The present study tries to apply the advantages of MCDM and bagged PNNs in the identification of an ideal location for a surface water treatment plant. The most significant parameter is found to be WQI which represents the overall quality of water suitable for domestic use. The PNN models were developed with all the selected eight alternatives as input and output. The algorithms like GMDH, SFS, SMS, and QC were used to estimate the weight of connections in between the input and hidden; and hidden and output layers separately for each segment. The application of these two soft computation tools provides an opportunity to the decision maker in the selection of optimal location with the help of an objective and cognitive method.

scholarly journals Making a move: care-home residents' experiences of relocation

2003 ◽  
Vol 23 (2) ◽  
pp. 225-241 ◽  
Author(s):  
JAN REED ◽  
GLENDA COOK ◽  
AILEEN SULLIVAN ◽  
CHRIS BURRIDGE
Keyword(s):  
Decision Making ◽  
United Kingdom ◽  
Older People ◽  
Influencing Factors ◽  
Care Home ◽  
Active Role ◽  
Case Note ◽  
The United Kingdom ◽  
Domestic Environments ◽  
Selection Of

Studies in environmental gerontology have progressed our understanding of the ways in which older people respond to and manage the environments in which they live, including their decisions about relocation and the influencing factors. Much of this work, however, has been done with relatively healthy and mobile older people living in domestic environments. It is often the case that when care-home residents move, the decisions are taken by others while the residents are passive and maybe hardly consulted. Far from the residents' preferences and initiatives being instrumental, they are moved by imposition. In the United Kingdom, the setting of this study, such imposed moves are common, partly because registration regulations restrict the range of care that a home can provide, and make some moves unavoidable. A questionnaire was distributed to care homes in two English local authorities to determine the incidence of relocation, and 10 homes were approached to take part in further studies, which included case-note audits, and interviews with staff and 12 older people who had relocated. The study found that the pattern of moves was complex, and that some residents were active in deciding to relocate and in the selection of the relocation home. The study concludes, however, that for residents to have an active role, they must be given support both to access the information required for decision-making and to implement their decisions.

Application of DEMATEL and MMDE for Analyzing Key Influencing Factors Relevant to Selection of Supply Chain Coordination Schemes

2018 ◽  
pp. 1688-1710
Author(s):  
Pradeep Kumar Behera ◽  
Kampan Mukherjee
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Influencing Factors ◽  
Structural Model ◽  
Selection Process ◽  
Supply Chain Coordination ◽  
Selection Decision ◽  
The Impact ◽  
Relevant Factors ◽  
Selection Of

Any selection decision of supply chain coordination schemes (SCCS) is essentially affected by the environment where the schemes are to be implemented, the necessary conditions required for their implementation, the risk associated with the implementation, and the impact on the performance of the supply chain. Because of the multi-dimensional characteristics; the selection of appropriate SCCS in a given situation remains a challenging task for supply chain managers. This study explores relevant factors that influence this selection process. A structural model is proposed to capture relationships among these factors for development of Impact Relationship Maps (IRM) by applying Decision Making Trial and Evaluation Laboratory (DEMATEL) and Maximum Mean De-Entropy (MMDE) algorithm. A study has been conducted and the outcome leads to add significant value to the decision making process with knowledge on the roles of the factors and inter-factor relations which helps in taking meaningful decision on SCCS selection and implementation.

scholarly journals Selection of a tool to decision making for site selection for high level waste

2016 ◽  
Vol 2 ◽  
pp. 6
Author(s):  
Jonni Guiller Madeira ◽  
Antônio Carlos M. Alvim ◽  
Vivian B. Martins ◽  
Nilton A. Monteiro
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
High Level Waste ◽  
Selection For ◽  
High Level ◽  
Selection Of

scholarly journals Sensitive Analysis on Selection of Piston Material Using MADM Techniques

2019 ◽  
Vol 69 (4) ◽  
pp. 45-56
Author(s):  
K Lakshmi Chaitanya ◽  
Kolla Srinivas
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
Performance Score ◽  
Design And Manufacturing ◽  
Criteria Weights ◽  
New Material ◽  
Multi Attribute Decision Making ◽  
Selection For ◽  
Ranking Order ◽  
Selection Of

AbstractDecision making in material selection plays important role in selecting appropriate material based on design and manufacturing attributes. Proposing a new material is always a challenging task so the researchers used Decision making assistance tools. In the Present paper the application of Multi-Attribute Decision Making (MADM) methods are applied to the piston material selection for optimal design process. Comparative study of subjective and objective criteria weights on selected MADM methods are done. Sensitivity analysis is conducted to prove the consistency in performance score ranking order as the criteria weights for each alternative varies.

scholarly journals Mineral waters of the Republic of North Ossetia — Alania

2019 ◽  
Vol 18 (2) ◽  
pp. 86-91
Author(s):  
Agnessa S. Kasinova ◽  
Yevgeny G. Potapov ◽  
Alexander I. Rusak ◽  
Berta A. Gusova ◽  
Nina B. Gurieva
Keyword(s):  
Chemical Composition ◽  
Mineral Water ◽  
Mineral Waters ◽  
Testing Laboratory ◽  
Clinical Center ◽  
The Republic ◽  
Physical And Chemical ◽  
North Ossetia

The research objective is to assess the composition and properties of mineral waters of the Republic of North Ossetia Alania. Material and methods. In 2019, the Testing Laboratory of Natural Therapeutic Resources of North Caucasian Federal Scientific and Clinical Center of Federal Medical and Biological Agency of Russia and the Department of Exploring of Resort Resources of PSRRS North Caucasian Federal Scientific and Clinical Center of Federal Medical and Biological Agency of Russia in Pyatigorsk carried out studies of the mineral waters of the Republic of North Ossetia Alania. Results. There have been explored mineral waters of Redant, Mamison, Tibian, Tamis, Korinsky, Carmadon and Zamankul mineral water deposits. Conclusion. The carried out spa studies showed that in the Republic of North Ossetia Alania there is mineral waters of various physical and chemical composition and mineralization that have high balneotherapeutic activity.

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