Bibliografías temáticas / RIVER GANGA WATER QUALITY

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Literatura académica sobre el tema "RIVER GANGA WATER QUALITY"

Autor: Grafiati
Publicado: 11 de septiembre de 2023

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Artículos de revistas sobre el tema "RIVER GANGA WATER QUALITY"

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Bagla, Piyush, Kuldeep Kumar, Nonita Sharma y Ravi Sharma. "Multivariate Analysis of Water Quality of Ganga River". Journal of The Institution of Engineers (India): Series B 102, n.º 3 (1 de marzo de 2021): 539–49. http://dx.doi.org/10.1007/s40031-021-00555-z.

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Trivedi, R. C. "Water quality of the Ganga River – An overview". Aquatic Ecosystem Health & Management 13, n.º 4 (15 de noviembre de 2010): 347–51. http://dx.doi.org/10.1080/14634988.2010.528740.

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Upadhyay, Anima. "Water Quality Index of Ganga River Water, Rishikesh, Uttarakhand, India." International Journal for Research in Applied Science and Engineering Technology V, n.º XI (23 de noviembre de 2017): 2876–80. http://dx.doi.org/10.22214/ijraset.2017.11396.

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Baloori, S. S., Pallavi Upreti y Jyotsna Kukreti. "A COMPREHENSIVE WATER QUALITY REVIEW OF RIVER YAMUNA WITH SPECIAL REFERENCE TO WATER QUALITY INDEX IN THE HIMALAYAN REGION OF INDIA". International Journal of Advanced Research 10, n.º 05 (31 de mayo de 2022): 407–17. http://dx.doi.org/10.21474/ijar01/14722.

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India with 4% of fresh water resources is facing a dual challenge of water scarcity and pollution. Several rivers in India originate from Himalayan systems and forms the basis of Indias Economy. River contamination and diminishing water quality is reducing populations accessibility to clean and safe drinking Water. As one of the significant perennial tributaries of The Ganga Water systems, River Yamuna passes through the heartlands of thegreat North India Plains sustaining cities, feeding millions. Since Yamuna passes through major urban settlement it is heavily polluted with untreated industrial waste, sewage, domestic waste making its way into the river. The study presents a comprehensive reviewof the water quality assessmentsof theriver Yamuna with special reference to Water Quality Index based on severalhydrological parameters. Based on the levels of contamination the whole stretch of Yamuna from its source (at Uttarakhand) till its confluence with Ganga (at Allahabad) has been divided into 5 segments. While all the lower stretches depict high to very high pollution levels, the upper segment of the river in the Himalayas show good water quality. Water quality parameters of river Yamuna depict that BOD, DO and COD levels are not in range of permissible limits in Delhi segment but it falls under permissible limits range in Himalayan segment. Other than these parameters, ammonia, TKN and other organic and inorganic matters fall under the desired standards in Himalayan region of Yamuna.
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Gaur, Anupama, Pratima Akolkar y M. P. Arora. "Water quality assessment of River Ganga for conservation of Gangetic dolphins (Platanista gangetica) at Garhmukteshwar". Environment Conservation Journal 10, n.º 3 (21 de diciembre de 2009): 57–62. http://dx.doi.org/10.36953/ecj.2009.100311.

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82 km stretch of River Ganga from Garhmukteshwar to Narora has been declared as Ramsar site because it inhabits rare and endangered Gangetic dolphins (Platanista gangetica). Dominance of Molluscs and Annelida communities of benthic macroinvertebrates provide proper feeding habitat for dolphins at more than 10-20 meter depth in River Ganga. Gangetic dolphin preferred a high level of flow velocity in River Ganga at Garhmukteshwar. Dolphins were commonly observed in biological water quality of moderate pollution (Class ‘C’). Habitat degradation due to construction of dams/ barrages, extraction of water, siltation, pollution due to hazardous chemicals and other human activities are the main causes of its decline in the river.
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Jain, C. K. y Surya Singh. "Impact of climate change on the hydrological dynamics of River Ganga, India". Journal of Water and Climate Change 11, n.º 1 (9 de mayo de 2018): 274–90. http://dx.doi.org/10.2166/wcc.2018.029.

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Abstract Rivers provide innumerable ecosystem services to mankind. However, anthropogenic activities have inflicted a host of pressures to the riverine ecosystems. Climate change is also one of the human induced consequences which is of serious concern. A number of studies have predicted devastating effects of climate change. In the Indian context, where a river such as the Ganga is already suffering from industrial and municipal waste disposal, unhygienic rituals, and other activities, effects of climate change may further aggravate the situation. Climate change will not only result in disasters, but effects on water quality, biodiversity, and other ecological processes also cannot be denied. In this paper, an attempt has been made to evaluate the effects of climatic change on the dynamics of River Ganga. The study focuses on the impacts on fundamental ecological processes, river water quality, effect on species composition, and hydropower potential etc. The paper also discusses management aspects and research needs for rejuvenation of the River Ganga.
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Vishnoi, Unnati, Jagjit Kaur y S. K. Pathak. "Water quality of river Ganga in respect of physico-chemical characteristics at Kangri Village, District Haridwar". Environment Conservation Journal 9, n.º 1&2 (16 de junio de 2008): 145–47. http://dx.doi.org/10.36953/ecj.2008.091227.

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This paper deals with the water quality status of river Ganga at Kangri village was studied with .respect to physico-chemical characteristics. Parameters studied was pH, Total solids, total dissolved solid, TSS, conductivity,alkalinity, hardness, DO, BOD, COD. With respect to plH the water of river Ganga was found alkaline.
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Sim, Siong Fong y Szewei Elaine Tai. "Assessment of a Physicochemical Indexing Method for Evaluation of Tropical River Water Quality". Journal of Chemistry 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/8385369.

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This paper attempts to evaluate the Malaysian water quality indexing method that has been criticized for its ineffectiveness. The indexing method is referred to as the Water Quality Index of the Department of Environment, Malaysia (DOE-WQI). This index was assessed against two other indices (River Ganga Index and Minimal Water Quality Index (WQImin)) and a modified DOE-WQI was also proposed. DOE-WQI and WQImin are physicochemical indices, whereas the River Ganga Index and modified DOE-WQI are indices with the inclusion of a microbiological parameter. The assessment was conducted based on the water quality of tropical rivers in Malaysia, with specific reference to Sarawak River and its tributaries. Water quality in terms of pH, dissolved oxygen, conductivity, turbidity, total suspended solids, biochemical oxygen demand, chemical oxygen demand, ammoniacal nitrogen, and fecal coliform count (FCC) was measured from 18 stations in December 2015, January 2016, and March 2016. Generally, the river was characterized with high FCC with the four indices significantly correlated. The results demonstrated the shortcomings of the existing DOE-WQI; the physicochemical index assigned water quality to a better class than its actual conditions without taking into consideration the FCC.
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Prasad, G., V. Shanker y A. K. Chopra. "Impact of IDPL effluent on water quality of river Ganga at Shyampur Khadir, Rishikesh (Uttaranchal)". Environment Conservation Journal 5, n.º 1-3 (19 de diciembre de 2004): 67–70. http://dx.doi.org/10.36953/ecj.2004.0512310.

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Present paper deals with the impact of IDPL effluent on water quality of river Ganga at Shyampur Khadir, Rishikesh. A significant deterioration of water quality of Ganga was recorded at Shyampur Khadir. Water quality of river Ganga at Pashulok Barrage (1.5 Km. before discharge of IDPL effluent) was better in term of various physicochemical characteristics, valued mg/It, chloride- 5.6, DO- 8.8, BOD- 7.14 and COD- 20.95 was observed . Bacterial load of water in term of MPN and SPC was found 11.6x102/100 ml and 102x103/ ml respectively. But a high degree of deterioration of water quality was recorded at Shyampur Khadir located about 1.5 Km. away from discharge point in down stream of the river Various parameters were found highly enhanced i.e. Hardness- 137.8, cholride- 14.3, BOD- 58.8, COD-162.45, MPN -64x102 and SPC- 290x 103. Main cause of deterioration of water quality of Ganga at Shyampur Khadir was found due to the discharge of IDPL effluent which was highly polluted as evident by low level of DO-2.8 and high degree of BOD- 181, COD- 261.8 mg/l and MPN- 209x102 and SPC- 380x 103.
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Verma, Ambuj y Dr Anirudh Gupta. "Prediction of Surface Water Quality of Upper Ganga in Uttar Pradesh". International Journal for Research in Applied Science and Engineering Technology 10, n.º 8 (31 de agosto de 2022): 1720–27. http://dx.doi.org/10.22214/ijraset.2022.46486.

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Abstract: With an increase in population and accelerated pace of industrialization, water quality is going to degrade day-by-day. The main source of water in India is from rivers. The Ganga River Basin is the world’s most populated and is home to half of India’s population, including two-thirds of the nation’s poor. This paper highlights the utility of statistical techniques for evaluating, interpreting complex data sets and recognizing spatial differences in water quality for effective management of river water quality. The Autoregressive Integrated Moving Average (ARIMA) model uses time-series data and statistical analysis to interpret the data and make future predictions. 6 water quality parameters Dissolved Oxygen, BOD, pH, Temperature, Electrical Conductivity and Total Coliform are analysed and predicted. In this work 4 monitoring station is taken for the prediction analysis and data is taken from the CPCB. In this work ARIMA model is giving the better prediction of temperature, total coliform and conductivity in compare of other water quality parameter pH, BOD and DO. The max value for correlation coefficient for Dissolved Oxygen, BOD, pH, Temperature, Electrical Conductivity and Total Coliform are respectively 0.73, 0.76, 0.79, 0.83, 0.84 and 0.85.
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Tesis sobre el tema "RIVER GANGA WATER QUALITY"

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Filho, Antonio Alves de Oliveira. "Quality modeling of Poti River water". Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13435.

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nÃo hÃ
The disorderly growth of the capital of PiauÃ, marked mainly by housing occupancy on the banks of river Poti and the existence of clandestine connections of raw sewage in rainwater drainage pipes, has contributed significantly to the pollution of the waters of the river basin of the ParnaÃba River (semiarid region Brazil). This research consists of making water quality measuring campaigns in Poti river and sewage released that, via gallery rainwater, focusing on a river stretch of 36.8 km long, located in the city of Teresina / PI, as well as mathematical modeling of water quality of the river based on WHAT-UFMG platform. The research is presented as the first study involving modeling of water quality in a water body of the state of PiauÃ. Modeled components were: dissolved oxygen (DO), biochemical oxygen demand (BOD) and thermotolerant coliform (TC). The results of field measurements indicated TC parameter discontinuities with respect to CONAMA Resolution n 357/2005. The calibration of the decay coefficients for each parameter resulting in deviations between measured and modeled data of up to 20%, which shows that the QUALUFMG can be used as a basis for predicting the quality of water in rivers located in semiarid regions. The calibrated model was also compared to field data from the literature. Finally, simulations were performed for different flow scenarios (Q10, Q90 and Q7,10), with consistent results and that can be used for the management of water resources in the state of PiauÃ.
O crescimento desordenado da capital piauiense, marcado sobretudo pela ocupaÃÃo habitacional Ãs margens do rio Poti e pela existÃncia de ligaÃÃes clandestinas de esgoto bruto nas tubulaÃÃes de drenagem pluvial, tem contribuÃdo significativamente para a poluiÃÃo das Ãguas da bacia hidrogrÃfica do rio ParnaÃba (regiÃo semiÃrida do Brasil). A presente pesquisa consiste na realizaÃÃo de campanhas de mediÃÃo da qualidade da Ãgua no rio Poti e dos esgotos lanÃados no mesmo, via galeria de Ãguas pluviais, com foco em um trecho do rio de 36,8 km de extensÃo, localizado na cidade de Teresina/PI, bem como na modelagem matemÃtica da qualidade da Ãgua deste rio com base na plataforma QUAL-UFMG. A pesquisa apresenta-se como o primeiro estudo envolvendo modelagem da qualidade da Ãgua em um corpo hÃdrico do estado do PiauÃ. Os componentes modelados foram: oxigÃnio dissolvido (OD), demanda bioquÃmica de oxigÃnio (DBO) e coliformes termotolerantes (CT). Os resultados das mediÃÃes de campo indicaram desconformidades do parÃmetro CT com relaÃÃo à ResoluÃÃo CONAMA n 357/2005. A calibraÃÃo dos coeficientes de decaimento para cada parÃmetro resultou em desvios entre dados medidos e modelados de atà 20%, o que mostra que o QUAL-UFMG pode ser utilizado como base para prediÃÃo da qualidade da Ãgua em rios localizados em regiÃes semiÃridas. O modelo calibrado tambÃm foi comparado a dados de campo obtidos na literatura. Finalmente, foram realizadas simulaÃÃes para diferentes cenÃrios de vazÃo (Q10, Q90 e Q7,10), apresentando resultados coerentes e que podem ser utilizados para a gestÃo dos recursos hÃdricos do estado do PiauÃ.
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Griffiths, Ian Martin. "Automatic river quality monitoring". Thesis, Brunel University, 1991. http://bura.brunel.ac.uk/handle/2438/7870.

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Automatic river quality monitoring (ARQM) is potentially an important tool in water quality management for the National Rivers Authority (NRA) and similar organisations worldwide. The information produced by ARQM systems must be used in the most effective way and fully integrated with the manual monitoring effort. The status and development of ARQM systems in the freshwater and estuarine River Thames catchment are discussed and a practical appraisal of the design, operation and maintenance requirements given. Data capture, verification and presentation methods are developed and the use of ARQM data for real time management and subsequent analysis is advocated. Examples of data from the freshwater ARQM system are given which emphasise the variability of freshwater quality and the need for a comprehensive understanding of the behaviour of rivers before management decisions are made. The use of ARQM data for assessing the compliance of rivers with River Quality Objectives is examined. With respect to the tidal Thames, data processing methods to correct for the tidal movement of the waterbody are developed. ARQM data are used to highlight the principal factors affecting the water quality of the tidal Thames. The importance of the use of ARQM information in the effective management of the tidal Thames is discussed and operational examples demonstrate how it may be utilised as a basis for management decisions. The application of ARQM to the sub-tropical environment of the River Ganges, India, is investigated. An ARQM system has been designed and prototypes are operational. Extensive site surveys were carried out and the water quality status of the Ganges is discussed. Recommendations for the improvement and future development of ARQM systems are made. The use of ARQM information and its potential for improving the management of rivers is discussed.
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Norreys, Richard. "Water quality river impact model (RIM) for river basin management". Thesis, University of Salford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305863.

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Cheung, Sheung-ching. "Transboundary water pollution between Hong Kong and the Pearl River Delta Region : Dongjiang River as a case study /". Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25247645.

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Berger, Christopher John. "Water Quality Modeling of the Tualitin River". PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4742.

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Water quality problems related to excessive algal growth, high nutrient loading, and low flows have been occurring along Oregon's Tualatin River. The Tualatin River is 86 miles long and has a drainage basin of 711 square miles. The drainage basin incorporates forest, agricultural, and urban areas. Located in the Portland metropolitan area, these problems have been acerbated by the effects of urban growth. To help analyze pollution control alternatives, a river model study, funded by the Oregon Department of Environmental Quality (DEQ}, was undertaken. An in-stream model of hydraulics and water quality was developed. The Corps of Engineer's CE-QUAL-W2 model, a twodimensional, laterally averaged, dynamic model of hydrodynamics and water quality was applied to the Tualatin system. Calibration of the main pool model of the Tualatin River was from field data taken during June through August of 1991. Verification of the model was performed from field data taken during the summer of 1990. After calibration and verification of the model, management alternatives were evaluated in order to achieve DEQ mandated water quality standards. Environmental performance criteria were determined to evaluate differences between model scenarios. Management alternatives focused on the reduction of point and non-point sources of pollution, flow augmentation, and structural changes in the river system, such as removal of the Lake Oswego Diversion Dam.
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Cheng, Man-shun. "A review of river water quality in Hong Kong /". Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20042176.

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Lindenschmidt, Karl-Erich. "River water quality modelling for river basin and water resources management with a focus on the Saale River, Germany". [Potsdam] : [Bibliothek des Wissenschaftsparks Albert Einstein], 2006. http://deposit.d-nb.de/cgi-bin/dokserv?idn=981609600.

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McIntyre, Neil Robert. "Analysis of uncertainty in river water quality modelling". Thesis, Imperial College London, 2004. http://hdl.handle.net/10044/1/11828.

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Sincock, Andrew Michael. "Conceptual river water quality modelling under dynamic conditions". Thesis, Imperial College London, 2002. http://hdl.handle.net/10044/1/11912.

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Spanou, Maria N. "Object-oriented programming in river water quality control". Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/10119.

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In the present work object-oriented analysis and design have been applied for the quality management of river systems. The physical entities of the river system, as well as the conceptual entities for the flow and water quality analysis, the simulation and the pollution control strategies, have been represented through objects. By distributing appropriate responsibilities to these objects, daily low flows of the river gauge stations can be estimated for a duration of seven and thirty days and a recurrence interval of twenty years. Based on these flows optimum windows for the whole system and minimum daily flows of the river gauge stations can be also estimated. The minimum daily flows of each point of the river system can be provided. These are the design river flows for the management study. A simple statistical analysis of water quality in the river and the effluent of the plants can be also performed and the background concentrations of major constituents can be estimated. The simulation of water quality in the system can be also performed based on the design conditions of the study. Control strategies for the improvement of water quality can be finally applied and an optimized discharge scheme can be suggested. (Abstract shortened by UMI.)
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Libros sobre el tema "RIVER GANGA WATER QUALITY"

1

Ghose, N. C. Pollution of Ganga River: Ecology of mid-Ganga basin. New Delhi: Ashish Publishing House, 1989.

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Sinnarkar, S. N. River Ganga: An overview of environmental research. Nagpur, India: National Environmental Engineering Research Institute, 1987.

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Sabata, Binoda Chandra. River pollution in India: A case study of Ganga River. New Delhi: APH Pub. Corp., 1995.

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India. Central Pollution Control Board., ed. Status and trend of water quality of River Ganga, 1983-1989. Delhi: Central Pollution Control Board, 1990.

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India. Central Pollution Control Board. Assessment of fisheries with regard to water quality in the river Ganga and Yamuna. Delhi: Central Pollution Control Board, Ministry of Environment & Forests, Govt. of India, 2011.

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India. Central Pollution Control Board., ed. Water pollution from mass bathing in Ganga River during Kumbh Mela. New Delhi: Central Pollution Control Board, 1988.

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Bilgrami, K. S. Bioconservation and biomonitoring of River Ganga in Bihar: Munger to Kahalgaon : final technical report, January 1990 to December 1992. [Bhagalpur: University Dept. of Botany, Bhagalpur University, 1992.

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The river Ganga: The life line of India. New Delhi: Daya Pub. House, 2012.

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River water quality monitoring. Chelsea, Mich: Lewis Publishers, 1985.

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Pollution of Ganga River: A limnological study at Hardwar. New Delhi: Shree Publishers, 2000.

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Capítulos de libros sobre el tema "RIVER GANGA WATER QUALITY"

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Trivedi, Ramesh Chandra y Ramesh Chandra Trivedi. "Water Quality Challenges in Ganga Basin, India". En Our National River Ganga, 189–210. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00530-0_7.

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Shukla, Anoop Kumar, C. S. P. Ojha, Satyavati Shukla y R. D. Garg. "Water Quality Challenges in Ganga River Basin, India". En The Ganga River Basin: A Hydrometeorological Approach, 1–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60869-9_1.

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Ghosh, Ashok Kumar y Ranjit Kumar. "Microbial Water Quality Assessment in River Ganga (Bihar)". En Riverine Systems, 67–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87067-6_4.

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Bijalwan, Yash, Pranav Chaudhari, Om Sharma y S. Raghavendra. "Analysis and Prognosis of Water Quality for River Ganga Using Water Quality Index". En Applications and Techniques in Information Security, 178–90. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2264-2_15.

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Singh, Kamakshi y Ramakar Jha. "Changes in Water Quality of River Ganga Passing Through Urban Cities with Remote Sensing and GIS Support". En Groundwater and Water Quality, 335–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09551-1_26.

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Bisht, Anil Kumar, Ravendra Singh, Ashutosh Bhatt y Rakesh Bhutiani. "Development of an Automated Water Quality Classification Model for the River Ganga". En Communications in Computer and Information Science, 190–98. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8657-1_15.

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Shukla, Praveen Kumar. "Development of Fuzzy Knowledge-Based System for Water Quality Assessment in River Ganga". En Advances in Intelligent Systems and Computing, 17–26. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3287-0_2.

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Singh, Reena y Saurabh Kumar. "Assessment and Suitability Analysis of Water Quality of River Ganga in Patna, Bihar". En Lecture Notes in Civil Engineering, 251–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96202-9_19.

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Shukla, Anoop Kumar, C. S. P. Ojha y R. D. Garg. "Application of Overall Index of Pollution (OIP) for the Assessment of the Surface Water Quality in the Upper Ganga River Basin, India". En Water Science and Technology Library, 135–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55125-8_12.

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Dutta, Subhankar y Sumanta Nayek. "Water Quality of the Ganges and Brahmaputra Rivers: An Impact Assessment on Socioeconomic Lives at Ganga–Brahmaputra River Basin". En Lecture Notes in Civil Engineering, 237–41. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6887-9_26.

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Actas de conferencias sobre el tema "RIVER GANGA WATER QUALITY"

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Shukla, Anoop Kumar, C. S. P. Ojha y R. D. Garg. "Surface water quality assessment of Ganga River Basin, India using index mapping". En 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8128277.

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Kogekar, Aishwarya Premlal, Rashmiranjan Nayak y Umesh Chandra Pati. "Forecasting of Water Quality for the River Ganga using Univariate Time-series Models". En 2021 8th International Conference on Smart Computing and Communications (ICSCC). IEEE, 2021. http://dx.doi.org/10.1109/icscc51209.2021.9528216.

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Bisht, Anil Kumar, Ravendra Singh, Rakesh Bhutiani y Ashutosh Bhatt. "Artificial neural network based predictionmodel forestimating the water quality of the river Ganga". En 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall). IEEE, 2017. http://dx.doi.org/10.1109/icaccaf.2017.8344735.

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Tejoyadav, Mogarala, Rashmiranjan Nayak y Umesh Chandra Pati. "Multivariate Water Quality Forecasting of River Ganga Using VAR-LSTM based Hybrid Model". En 2022 IEEE 19th India Council International Conference (INDICON). IEEE, 2022. http://dx.doi.org/10.1109/indicon56171.2022.10040146.

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Shakhari, Swapan, Aayush Kumar Verma y Indrajit Banerjee. "Remote Location Water Quality Prediction of the Indian River Ganga: Regression and Error Analysis". En 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE). IEEE, 2019. http://dx.doi.org/10.1109/ictke47035.2019.8966796.

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Shakhari, Swapan, Aayush Kumar Verma, Debasmita Ghosh, Kalyan Kumar Bhar y Indrajit Banerjee. "Diverse Water Quality Data Pattern Study of the Indian River Ganga: Correlation and Cluster Analysis". En 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE). IEEE, 2019. http://dx.doi.org/10.1109/ictke47035.2019.8966913.

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Kogekar, Aishwarya Premlal, Rashmiranjan Nayak y Umesh Chandra Pati. "A CNN-GRU-SVR based Deep Hybrid Model for Water Quality Forecasting of the River Ganga". En 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV). IEEE, 2021. http://dx.doi.org/10.1109/aimv53313.2021.9670916.

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Kogekar, Aishwarya Premlal, Rashmiranjan Nayak y Umesh Chandra Pati. "A CNN-BiLSTM-SVR based Deep Hybrid Model for Water Quality Forecasting of the River Ganga". En 2021 IEEE 18th India Council International Conference (INDICON). IEEE, 2021. http://dx.doi.org/10.1109/indicon52576.2021.9691532.

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Bajpai, Abhishek, Srishti Chaubey, Bdk Patro y Abhineet Verma. "A Real-Time Approach to Classify the Water Quality of the River Ganga at Mehandi Ghat, Kannuaj". En 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). IEEE, 2022. http://dx.doi.org/10.1109/iicaiet55139.2022.9936820.

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Pandey, J., K. Shubhashish y Richa Pandey. "Air-Borne Heavy Metal Contamination to River Ganga (India)". En World Environmental and Water Resources Congress 2009. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41036(342)250.

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Informes sobre el tema "RIVER GANGA WATER QUALITY"

1

Willey, R. G. Kanawha River Basin Water Quality Modeling. Fort Belvoir, VA: Defense Technical Information Center, julio de 1986. http://dx.doi.org/10.21236/ada203686.

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2

Bad Bear, D. J. y D. Hooker. Little Big Horn River Water Quality Project. Office of Scientific and Technical Information (OSTI), octubre de 1995. http://dx.doi.org/10.2172/224632.

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3

Berger, Christopher. Water Quality Modeling of the Tualitin River. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.6626.

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4

Johnson, Billy E. y Zhongiong Zhang. Development of a River and Stream Water Quality Module. Fort Belvoir, VA: Defense Technical Information Center, junio de 2009. http://dx.doi.org/10.21236/ada500782.

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5

Kilgore, M. M. y R. J. Langel. Water quality monitoring in the Yellow River Watershed 2005. Iowa City, Iowa: Iowa Department of Natural Resources, 2006. http://dx.doi.org/10.17077/rep.006499.

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6

Cole, Thomas M. Review of Water Quality Monitoring and Recommendations for Water Quality Modeling of the Lower St. Johns River. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1995. http://dx.doi.org/10.21236/ada294573.

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7

Bookter, Andy, Richard D. Woodsmith, Frank H. McCormick y Karl M. Polivka. Water Quality Trends in the Entiat River Subbasin: 2007-2008. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2009. http://dx.doi.org/10.2737/pnw-rn-563.

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8

Woodsmith, Richard D., Pamela K. Wilkins y Andy Bookter. Water Quality Trends in the Entiat River Watershed: 2007–2010. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2013. http://dx.doi.org/10.2737/pnw-rn-569.

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9

Price, V. An overview of the Savannah River Plant water quality database. Office of Scientific and Technical Information (OSTI), junio de 1990. http://dx.doi.org/10.2172/7016681.

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10

Hains, John J. Water Quality Studies at Cougar Lake, Blue River Lake, and the Mckenzie River, Oregon. Fort Belvoir, VA: Defense Technical Information Center, abril de 2000. http://dx.doi.org/10.21236/ada375606.

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