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1

Hosmani, Shankar, P. „Assessment of Water Quality of Hassan lakes by NSF-Water Quality Index“. Indian Journal of Applied Research 1, Nr. 3 (01.10.2011): 18–19. http://dx.doi.org/10.15373/2249555x/dec2011/7.

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2

Moosa, Merfat Ebrahim Al, Munawwar Ali Khan, Usama Alalami und Arif Hussain. „Microbiological Quality of Drinking Water from Water Dispenser Machines“. International Journal of Environmental Science and Development 6, Nr. 9 (2015): 710–13. http://dx.doi.org/10.7763/ijesd.2015.v6.685.

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3

Sivaranjani, S., Amitava Rakshit und Samrath Singh. „Water Quality Assessment with Water Quality Indices“. International Journal of Bioresource Science 2, Nr. 2 (2015): 85. http://dx.doi.org/10.5958/2454-9541.2015.00003.1.

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4

Farooq, Zaeem. „Optimizing Water Filtration Through Machine Learning Based Water Quality Indexing“. International Journal of Science and Research (IJSR) 13, Nr. 8 (05.08.2024): 1583–87. http://dx.doi.org/10.21275/sr24826150426.

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5

Asghari, Maryam. „Pollution Haven Effect and Water Quality“. International Academic Journal of Economics 06, Nr. 01 (25.06.2019): 91–109. http://dx.doi.org/10.9756/iaje/v6i1/1910007.

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6

Hyun-Joo, Lee. „Application Effect of Water Quality HSPE & EPDC Models Used to Improve Water Quality in G lake“. Journal of the Korean Society for Environmental Technology 22, Nr. 5 (31.10.2021): 344–52. http://dx.doi.org/10.26511/jkset.22.5.5.

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7

Smith, James F., und William A. Kreutzberger. „Water Quality“. Science 237, Nr. 4810 (03.07.1987): 11. http://dx.doi.org/10.1126/science.237.4810.11.a.

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8

Kerski, Joseph J. „Water Quality“. Geography Teacher 14, Nr. 1 (02.01.2017): 36–41. http://dx.doi.org/10.1080/19338341.2016.1260623.

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9

Khublaryan, Martin Gaikovich, und Tat’yana Ivanovna Moiseenko. „Water quality“. Herald of the Russian Academy of Sciences 79, Nr. 3 (Juni 2009): 230–36. http://dx.doi.org/10.1134/s1019331609030058.

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10

SMITH, J. F., und W. A. KREUTZBERGER. „Water Quality“. Science 237, Nr. 4810 (03.07.1987): 11. http://dx.doi.org/10.1126/science.237.4810.11.

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11

SEAGER, J. „Statutory Water Quality Objectives and River Water Quality“. Water and Environment Journal 7, Nr. 5 (Oktober 1993): 556–62. http://dx.doi.org/10.1111/j.1747-6593.1993.tb00885.x.

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12

Ngente, Lalnunthari, und B. P. Mishra. „Water Quality Assessment of Tuikual River Water in Aizawl, Mizoram, India“. Indian Journal Of Science And Technology 16, sp1 (03.10.2023): 127–33. http://dx.doi.org/10.17485/ijst/v16sp1.msc19.

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13

Gupta, Rajiv, A. N. Singh und Anupam Singhal. „Application of ANN for Water Quality Index“. International Journal of Machine Learning and Computing 9, Nr. 5 (Oktober 2019): 688–93. http://dx.doi.org/10.18178/ijmlc.2019.9.5.859.

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14

Umamaheswari, T., Dr M. Newlin Rajkumar und R. Tharani S.Rajalakshmi. „Water Quality Measuring and Monitoring: A Survey“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (31.12.2017): 27–30. http://dx.doi.org/10.31142/ijtsrd5833.

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15

Říhová Ambrožová, J., J. Hubáčková und I. Čiháková. „Drinking water quality in the Czech Republic“. Czech Journal of Food Sciences 27, No. 2 (25.05.2009): 80–87. http://dx.doi.org/10.17221/155/2008-cjfs.

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The quality of water has to be controlled and monitored by drinking water suppliers during all stages of the treatment process from the water sources to the end of distribution systems. The research, performed in Czech Republic from 2006 to 2008, deals with the assessment of the affect of water tanks on the quality of water supplied to consumers, specifically from various points of view: microbiological, biological and physic-chemical changes in water accumulation. Also studied was the influence of the air on the quality of accumulated water (secondary contamination), the influence of the structural layout and hydraulic ratios. In the project quick screening methods (paddle testers and BART<sup>TM</sup> tests) were applied in the collection of water samples and scrapings from wetted surfaces of water tanks. The results of the contamination degree discovered in the course of the project solution will serve as basic data for a scale that should evaluate the degree of water tank pollution as well as for resulting corrective measures or optimisation of water tank cleaning. The recommendations of limits for a scraping sample are based especially on the microbiological parameters. Secondary air contamination plays an important role in maintains of biologically stable water. Based on the number of microbial contamination discovered water tanks will be categorised and methods of suitable measures to be taken will be stipulated, operation optimisation as well as cleaning (schedule, methods and frequency of cleaning). The water quality in a storage tanks depends on their maintenance, e.g., to prevent the plaster falling on water surface, the use of antifungal surface coatings (prevention the growth of fungi on walls), the use of ceramics surface of reservoir walls, dark conditions (no windows or blue sheets) in all technological units, the prevention of dust fall out, the selection of suitable air condition and special air filters.
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16

Prof. A.B. More, Prof A. B. More, Prof C. S. Chavan Prof. C.S. Chavan, Ajoy Gurung, Pramod Sarwade, Shashikant Chaudhari und Rohit Vyas. „Water Quality Status of Mula-Mutha River“. Global Journal For Research Analysis 3, Nr. 4 (15.06.2012): 75–77. http://dx.doi.org/10.15373/22778160/apr2014/24.

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17

Gonsor, Oksana. „SMART SYSTEM FOR MONITORING WATER QUALITY PARAMETERS“. Measuring Equipment and Metrology 83, Nr. 4 (2022): 18–23. http://dx.doi.org/10.23939/istcmtm2022.04.018.

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Water is the most crucial factor for all living organisms, so it is essential to protect it. And water quality monitoring is one of the first steps required in the rational development and management of water resources. Smart systems used for real-time quality control and power consumption are rapidly developing. Their implementation in water quality assurance systems is essential and actual. The three-level smart system presented in this article involves the processing of water samples testing results from water supply sources, from the distribution network (consumers), test results of testing laboratories, and data from water consumption accounting systems. Transmission of the obtained results to consumers applying wireless communication technologies is an important system feature.
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18

Canofuentes, Santiago, Virginia Roaangulo, Mónica Castilloaguilar und Federico Beltranhilarion. „Microbiological Water Quality in watershed Caño Grande“. Indian Journal Of Science And Technology 16, Nr. 28 (26.07.2023): 2160–66. http://dx.doi.org/10.17485/ijst/v16i28.1208.

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19

Kikuchi, Shunzo. „Water Supply and Water Quality“. Japan journal of water pollution research 13, Nr. 8 (1990): 469. http://dx.doi.org/10.2965/jswe1978.13.469.

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20

Weinberg, Marca, Catherine L. Kling und James E. Wilen. „Water Markets and Water Quality“. American Journal of Agricultural Economics 75, Nr. 2 (Mai 1993): 278–91. http://dx.doi.org/10.2307/1242912.

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21

Tyagi, Shweta, Bhavtosh Sharma, Prashant Singh und Rajendra Dobhal. „Water Quality Assessment in Terms of Water Quality Index“. American Journal of Water Resources 1, Nr. 3 (29.10.2020): 34–38. http://dx.doi.org/10.12691/ajwr-1-3-3.

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22

Hammood, Zahraa Ali, Zainab S. Al-Khafaji und Halah K. Al-Naely. „Evaluation the Water Quality for Water Bottles in Some Provinces in Iraq“. Journal of Advanced Research in Dynamical and Control Systems 11, Nr. 12-SPECIAL ISSUE (31.12.2019): 1295–302. http://dx.doi.org/10.5373/jardcs/v11sp12/20193338.

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23

Dwivedi, Sonu. „Assessment of Drinking Water Quality Status by Water Quality Index: A Case Study of Bhatta Waterfall, Dehradun, Uttarakhand - India“. International Journal of Science and Research (IJSR) 12, Nr. 2 (05.02.2023): 47–52. http://dx.doi.org/10.21275/sr23131202028.

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24

van Dam, Herman, Csilla Stenger-Kovács, Éva Ács, Gábor Borics, Krisztina Buczkó, Éva Hajnal, Éva Soróczki-Pinter, Gábor Várbiró, Béla Tóthmérész und Judit Padisák. „Implementation of the European Water Framework Directive: Development of a system for water quality assessment of Hungarian running waters with diatoms“. River Systems 17, Nr. 3-4 (06.11.2007): 339–64. http://dx.doi.org/10.1127/lr/17/2007/339.

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25

Luckner, L. „Ground Water Quality“. Journal of Environmental Quality 15, Nr. 3 (Juli 1986): 313. http://dx.doi.org/10.2134/jeq1986.00472425001500030025x.

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26

Patton, Charles C. „Injection-Water Quality“. Journal of Petroleum Technology 42, Nr. 10 (01.10.1990): 1238–40. http://dx.doi.org/10.2118/21300-pa.

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27

Hodgson, Ted, Lyle Andersen, Jim Robison-Cox und Clain Jones. „Water Quality Statistics“. Teaching Statistics 26, Nr. 1 (Februar 2004): 2–8. http://dx.doi.org/10.1111/j.1467-9639.2004.0134a.x.

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28

Hren, Janet, Carolyn Childress, J. Norris, Thomas Chaney und Donna Myers. „Regional water quality“. Environmental Science & Technology 24, Nr. 8 (August 1990): 1122–27. http://dx.doi.org/10.1021/es00078a604.

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29

Averett, Robert C., und G. R. Marzolf. „Editorial: Water quality“. Environmental Science & Technology 21, Nr. 9 (September 1987): 827. http://dx.doi.org/10.1021/es00163a600.

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30

Godfree, Alan, Frank Jones und David Kay. „Recreational water quality“. Marine Pollution Bulletin 21, Nr. 9 (September 1990): 414–22. http://dx.doi.org/10.1016/0025-326x(90)90760-6.

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31

Bear, Jacob. „Ground water quality“. Advances in Water Resources 9, Nr. 3 (September 1986): 184–85. http://dx.doi.org/10.1016/0309-1708(86)90035-7.

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32

Wood, R. G. „Water quality modelling“. Marine Environmental Research 37, Nr. 3 (Januar 1994): 329–30. http://dx.doi.org/10.1016/0141-1136(94)90058-2.

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33

Kay, David, und Adrian T. McDonald. „Water quality issues“. Applied Geography 11, Nr. 3 (Juli 1991): 171–77. http://dx.doi.org/10.1016/0143-6228(91)90027-7.

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34

SMITH, R. A., R. B. ALEXANDER und M. G. WOLMAN. „Response: Water Quality“. Science 237, Nr. 4810 (03.07.1987): 11. http://dx.doi.org/10.1126/science.237.4810.11-a.

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35

Driver, N. E. „Regional water quality“. Eos, Transactions American Geophysical Union 70, Nr. 38 (1989): 842. http://dx.doi.org/10.1029/89eo00288.

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36

KHOSLA, MAYA R., ALAN G. HEATH und PAUL L. ANGERMEIER. „Assessing water quality“. Interdisciplinary Science Reviews 20, Nr. 3 (September 1995): 229–40. http://dx.doi.org/10.1179/isr.1995.20.3.229.

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37

Kompare, Boris. „Water quality modelling“. Ecological Modelling 72, Nr. 1-2 (März 1994): 145–49. http://dx.doi.org/10.1016/0304-3800(94)90149-x.

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38

Tazoe, Hirofumi. „Water quality monitoring“. Analytical Sciences 39, Nr. 1 (Januar 2023): 1–3. http://dx.doi.org/10.1007/s44211-022-00215-2.

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39

Semeniuk, N. „ECOLOGICAL WATER QUALITY“. Ukrainian Journal of Natural Sciences, Nr. 2 (28.01.2023): 45–56. http://dx.doi.org/10.35433/naturaljournal.2.2023.45-56.

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Water quality – is a description of water’s chemical and biological composition and physical properties, which characterize it as an abiotic component of aquatic ecosystem and determine its suitability for specific consumption purposes. Ecological water quality (environmental water quality) – refers to the ecological well-being of an aquatic ecosystem, with the main focus on protection of the aquatic environment and human life and health. It comprises a complex of physical, chemical, biological and other parameters reflecting specific features of abiotic and biotic components of aquatic ecosystems. The requirements for physical, chemical and biological properties of water are set in the water quality standards, which may be developed by particular countries or introduced by international organizations. Ecological water quality depends upon natural and human factors. Natural factors are in their turn divided into abiotic (for example, geological, meteorological, hydrological) and biotic (for example, the ratio of primary production and organic matter destruction). The main human factors affecting water quality include artificial modification of aquatic ecosystems’ hydrological conditions and their pollution with diverse chemical compounds. There are a lot of approaches to ecological water quality assessment according to both abiotic (physical and chemical) and biological parameters. Physical and chemical methods take into account such parameters as water transparency, suspended particulate matter concentration (turbidity), ion composition, water hardness, total dissolved salts content, nutrients and organic matter content, dissolved gases concentration, pH. Biological methods are based upon assessing the living organisms’ (biological indicators’) response to mineral and organic substances, present in water. Various living organisms can be used as biological indicators: algae, in particular – diatoms, higher aquatic plants, different species of aquatic invertebrates and fishes. While physical and chemical methods characterize water quality at the moment of sampling, biological methods provide an integral picture of water quality for a certain time period. Besides, biological methods are more informative, because they reflect the aquatic ecosystem’s response to pollution. On the whole, the most reliable data on ecological water quality can be obtained by combining physical, chemical and biological methods.
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40

Isaji, C. „Integrated water quality management for drinking water of good quality“. Water Science and Technology 47, Nr. 9 (01.05.2003): 15–23. http://dx.doi.org/10.2166/wst.2003.0482.

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The Nagoya Waterworks and Sewerage Bureau has developed original supporting tools for the systematic and cost-effective management of problem solving. An environmental information map and prediction of pollutant reaching are used for rapid and appropriate proper countermeasures against water quality accidents in the source area. In disinfection byproduct control a method for estimating trihalomethane (THM) contents was effective for the complement of their observations. Surrogate indicators such as turbidity and conductivity that could be measured continuously also could complement water quality items measured monthly. A processing tool of voluminous data was practical for rapid judgment of water quality. Systematic monitoring was established for stricter turbidity control for measures against Cryptosporidium and keeping residual chlorine stable in the service area.
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41

House, M. A., und D. H. Newsome. „Water Quality Indices for the Management of Surface Water Quality“. Water Science and Technology 21, Nr. 10-11 (01.10.1989): 1137–48. http://dx.doi.org/10.2166/wst.1989.0314.

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The need for a simple, objective and reproducible numeric scale to represent water quality in terms that all types of user will accept has been apparent for the last twenty years. Subjective classifications of water quality have been made, but they are seldom reproducible and lack sensitivity. Now, a new family of water quality indices has been developed that can be used either independently or in combination which promise to overcome previous criticisms. They are currently being used by a UK water authority to assess their utility to personnel responsible for both the planning and day-to-day management of surface water quality.
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42

Amare, Shiberu Keraga, Kiflie Zebene und Nigussie Engida Agizew. „Evaluating water quality of Awash River using water quality index“. International Journal of Water Resources and Environmental Engineering 9, Nr. 11 (30.11.2017): 243–53. http://dx.doi.org/10.5897/ijwree2017.0736.

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43

Egan, Kevin J., Joseph A. Herriges, Catherine L. Kling und John A. Downing. „Valuing Water Quality as a Function of Water Quality Measures“. American Journal of Agricultural Economics 91, Nr. 1 (Februar 2009): 106–23. http://dx.doi.org/10.1111/j.1467-8276.2008.01182.x.

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44

Yidana, Sandow Mark, und Adadow Yidana. „Assessing water quality using water quality index and multivariate analysis“. Environmental Earth Sciences 59, Nr. 7 (07.04.2009): 1461–73. http://dx.doi.org/10.1007/s12665-009-0132-3.

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45

Ahmed S. Hameed Ali und Bashar J.J. Alsabah. „Ground Water Quality Assessment Using the Water Quality Index, Iraq“. International Journal of Biological Engineering and Agriculture 3, Nr. 1 (18.01.2024): 60–70. http://dx.doi.org/10.51699/ijbea.v3i1.3347.

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Water Quality Index (WQI) has been applying in the present study to assess suitability of groundwater quality for drinking purposes in Amara city, southern Iraq. This was carried out by subjecting twelve groundwater samples, collected from different sites to comprehensive physic-chemical analysis. Ten parameters have been considered for calculating the WQI such as; pH, electrical conductivity, total dissolved solids, sodium, potassium, calcium, magnesium, chloride, sulphate and nitrate. The WQI values shows that 16.66% of water samples falls in good water categories and the others (83.66%) ranged from poor water to unsuitable for drinking purposes under normal conditions and further action for salinity control is required. The high value of WQI at this study has been found to be mainly due to the higher values of EC, TDS, SO4-2, Ca+2, Mg+2 and Cl- where it was found that there is a very high correlation coefficient between them.
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46

MACEKOVÁ, Ľudmila, und Matej ŽIGA. „THE WIRELESS SENSOR NETWORK CONCEPT FOR MEASUREMENT OF WATER QUALITY IN WATER STREAMS“. Acta Electrotechnica et Informatica 14, Nr. 2 (01.06.2014): 60–67. http://dx.doi.org/10.15546/aeei-2014-0020.

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47

R K Patwari, Narkhede. „Water Resource Management and Water Quality Analysis in Udgir: A Semiarid Region Perspective“. International Journal of Science and Research (IJSR) 12, Nr. 8 (05.08.2023): 1498–500. http://dx.doi.org/10.21275/sr23815160611.

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48

AL-Shamary, A. Ch. „Water quality of the Southern Al-Hammar marsh“. IRAQI JOURNAL OF AQUACULTURE 9, Nr. 2 (2012): 205–24. http://dx.doi.org/10.21276/ijaq.2012.9.2.5.

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49

Liebel, S., M. E. M. Tomotake und C. A. Oliveira-ribeiro. „Fish histopathology as biomarker to evaluate water quality“. Ecotoxicology and Environmental Contamination 8, Nr. 2 (06.12.2013): 9–15. http://dx.doi.org/10.5132/eec.2013.02.002.

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50

Al-Mutairi, N., A. Abahussain und A. Al-Battay. „Environmental Assessment of Water Quality in Kuwait Bay“. International Journal of Environmental Science and Development 5, Nr. 6 (2014): 527–32. http://dx.doi.org/10.7763/ijesd.2014.v5.539.

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