Gotowe bibliografie tematyczne / YAMUNA RIVER

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Gotowa bibliografia na temat „YAMUNA RIVER”

Autor: Grafiati

Data publikacji: 11 września 2023

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Artykuły w czasopismach na temat "YAMUNA RIVER"

Mamula, Stephen. "River Yamuna". Yearbook for Traditional Music 30 (1998): 207. http://dx.doi.org/10.2307/768617.

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Sinha, Sananda. "Correlative Assessment of Water Quality and Qualitative and Quantitative Fish Production from River Yamuna, In the State NCT Delhi". Bulletin of Pure & Applied Sciences- Zoology 42, nr 1 (16.06.2023): 117–33. http://dx.doi.org/10.48165/bpas.2023.42a.1.10.

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River Yamuna originates from the Yamunotri Glacier at a height 6,387 Metres. Earlier, the waters of the Yamuna were distinguishable as "clear blue", as compared to the silt-laden yellow of the Ganges. However, due to high density population growth and rapid industrialization, today Yamuna is one of the most polluted rivers in India, especially around New Delhi, the capital of India, which dumps about 58% of its treated or partially treated waste into the river. Hence, water quality of river Yamuna has widely been studied with regard to physico-chemical characteristics. The paper presents their impact of pollution on the production of fishes in the state of NCT Delhi. The river Yamuna has been reduced to a small stream due to sewage and industrial effluents draining into it. Even though, the Govt. of India is taking stringent measures to assuage these pollution loads to save an ailing river to flourish the aquatic life, revival is not so eminent. Due to that the production and quality of fish is affected badly. Economical aspects of the state NCT Delhi has also impacted.

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Baloori, S. S., Pallavi Upreti i 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, nr 05 (31.05.2022): 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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Pali, D. "Linear Modeling-Based Assessment Of Water Quality Of River Yamuna, India (2011-2020)". Journal of University of Shanghai for Science and Technology 24, nr 03 (10.03.2022): 57–71. http://dx.doi.org/10.51201/jusst/22/0269.

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Since time immemorial, rivers have been the lifelines of billions worldwide. They provide fresh water for drinking, agriculture, bathing, and fulfill our various requirements. There is no life without water; hence, making sure that perennial flows remain unpolluted is one of man’s prime duties. On the contrary, many industrial chemicals that pollute our water resources are common in the present times. The entire stretch of Yamuna River, from Yamunotri glacier to its confluence with the river Ganges at Allahabad, is used for various human activities. The various pollution sources, such as residential, industrial, and agricultural areas, induce many substances in the river. Domestic sources cause about 85% of the total pollution. Large clusters of industries established at Kota, Gwalior, Indore, Nagda, Khetri, Yamuna Nagar, Panipat, Sonepat, Delhi, Baghpat, Ghaziabad, Gautam Budha Nagar, Faridabad, Mathura release vast amounts of pollutants in River Yamuna. The nutrients and pesticides from agricultural fields are adsorbed by the sediment particles and reach the river, particularly during early floods. These chemicals geo-accumulate in riverbeds. The dumping of worshiping material and ashes in the water further degrades the water quality. High organic content, increased nutrients, pathogens, pollutants, and deforestation in the catchment and river usage as transport media adversely affect the river water quality. Many activities such as bathing, washing clothes, religious activities, offering of flowers, garlands, and other worship materials are also responsible for river pollution in India. This paper studies the effect of pollution on the River Yamuna and concentrates on studying water quality parameters of the entire stretch of River Yamuna flowing through five geopolitical states of India. The second part deals with the study of pollution-induced by various drains emptying their flow into River Yamuna. It also includes a study during the extraordinary condition induced by COVID-19 lockdown.

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Ghildyal, Divya, i Manisha Chaudhary. "Seasonal Variations of pH and Dissolved Oxygen Concentrations in Major Rivers of Uttar Pradesh". Journal of Physics: Conference Series 2570, nr 1 (1.08.2023): 012013. http://dx.doi.org/10.1088/1742-6596/2570/1/012013.

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Abstract The variations in pH and Dissolve Oxygen (DO) concentrations were analysed in surface river water samples for three seasons Pre-Monsoon, Monsoon and Autumn (January to December 2022) for four major rivers Ganga, Yamuna, Gomti and Hindon flowing through Uttar Pradesh, India. For river Ganga pH range varied from 7.65 to 8.47 and DO varied from 6.4mg/l to 9.26mg/l. For river Yamuna pH range varied from 7.31 to 10.5 and DO varied from 0 to 8.1mg/l. Gomti river showed, pH range between 7.2 to 8.48, while DO varied from 0.63mg/l to 8.4mg/l. For, river Hindon, pH varied from 6.8 to 7.66 and DO observed was between 0 to 1.8mg/l. Correlation Matrix showed a significant weak positive correlation between pH and DO for all three seasons for rivers Ganga and Yamuna, while river Gomti showed a significant weak positive correlation in Pre-Monsoon and Monsoon season, and a weak negative correlation in Autumn lastly river Hindon showed weak negative correlation between pH and DO for Pre-Monsoon, and Monsoon and a weak positive significant correlation for Autumn season. Dissolved Oxygen was found in good concentration in river Ganga, and almost nilfor river Hindon. An increasing trend line for DO was observed for rivers Ganga and Yamuna while river Gomti showed a constant trend line lastly river Hindon showed almost nil DO. This study helped to identify the variations of pH and DO, and also to find the correlation between them for Pre-Monsoon, Monsoon and Autumn seasons for the river water samples. The study will prove helpful for designing of water treatment plants accompanying seasonal variations.

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Gopal, Brij, i Malavika Sah. "Conservation and Management of Rivers in India: Case-study of the River Yamuna". Environmental Conservation 20, nr 3 (1993): 243–54. http://dx.doi.org/10.1017/s0376892900023031.

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The River Yamuna, originating in the Himalayas, is the largest tributary of the River Ganga (Ganges) into which it flows at Allahabad. Its drainage basin covers about 42% of the Ganga River basin and about 11% of India's total land area. The area of the Yamuna drainage basin is densely populated and under intensive agriculture, while industrial activity is also rapidly growing in it. Climatically, a large part of the basin is semi-arid, and the river-flow depends upon highly erratic monsoonal rains. Therefore, the River and its tributaries have been regulated for over a century by dams and barrages for domestic water-supply and irrigation.Besides increased flow-regulation, the River's system has been under increasing anthropogenic stress from discharge of—mostly untreated—domestic and industrial wastewaters, and from other activities in the basin. River Yamuna is severely polluted by domestic and industrial effluents especially from Delhi down to Agra. Water extraction and consequently low flow has affected the selfpurification capacity of the River. The greater inflow of River Chambal helps River Yamuna to recover to some extent after their confluence near Etawah.Studies of water quality and biota of the River Yamuna along its course during the past 30 years show rapid deterioration of water-quality, loss of fisheries, and significant changes in the biotic communities. In the manner of River Yamuna, its tributaries have also become increasingly polluted during the same period. There has, however, been little attention paid to the management of the River system and conservation of its resources, except for some efforts at the treatment of sewage effluents but emphasizing only water-quality. Ignoring the river-flood-plain interactions which play significant roles in the ecology of a river, most of the floodplain has been reclaimed by constructing high levees.We emphasize that the Yamuna River basin should be treated as one ecocomplex in developing appropriate management strategies, and that the conservation of waterquality and biota can be achieved through protection and better management of floodplains than has been practised to date.

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Singh, S. K., Priyanka Negi, Karan Arora i Monika. "Modelling of Pollutant Transport in Yamuna River from the Najafgarh Drain, NCT Delhi Using Matlab Software". Journal of Climate Change 9, nr 3 (1.09.2023): 41–50. http://dx.doi.org/10.3233/jcc230023.

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When the river Yamuna leaves the National Capital Territory of Delhi, its situation further deteriorates. Despite accounting for only 1% of the river’s overall catchment area, this region is responsible for more than half of the pollutants discovered in the Yamuna. The river Yamuna, on the other hand, is Delhi’s only natural resource for maintaining all forms of life. The Yamuna River is currently experiencing a significant level of pollution problem, and in order to control pollution in the Yamuna River, continual analysis is essential. The Yamuna River is contaminated by the discharge of untreated municipal sewage and industrial effluent through seven major drains: Najafgarh, Yamunapur, Sen Nursing Home, Barathpula, Maharani Bagh, Kalkaji, and Tuglakabad. In terms of people and chemicals, continuous sampling takes time and money. The primary objective of this study is to analyse the wastewater samples collected by sub-drains and STP’s to predict the pollutant transportation in river Yamuna from Najafgarh Drain. The study focusses on the only pollutant, i.e., Biochemical Oxygen Demand from the starting point to after the confluence of Najafgarh Drain into river Yamuna. The prediction is to be done by using MATLAB software. This study would help to identify the main sources of sub-drains which are polluting Najafgarh Drain and eventually the river Yamuna. This shows how MATLAB may be used to calculate the pollution load caused by organic waste in the Yamuna River as it flows through Delhi, India’s National Capital Territory. The model numerically solves a series of differential equations to simulate the dissolved oxygen and biochemical oxygen demand parameters in two dimensions. MATLAB is an interactive programming language that may be used to develop algorithms, graphics, and user interfaces in other computer languages. MATLAB helps estimate future water quality using present data, which saves time, labour, and other costs associated with the continuous study. There are various software programmes available in the market for predicting river water quality, however, MATLAB GUI provides an accessible and convenient user interface (Graphical User Interface).

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Khanna, D. R., Rakesh Bhutiani, Gagan Matta, Vikas Singh i Fouzia Ishaq. "Seasonal variation in physico-chemical characteristic status of River Yamuna in Doon Valley of Uttarakhand". Environment Conservation Journal 13, nr 1&2 (18.06.2012): 119–24. http://dx.doi.org/10.36953/ecj.2012.131222.

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During the last few decades there has been an increasing demand for monitoring water quality of many rivers by regular measurements of various water quality variables. River Yamuna in Uttarakhand requires the same qualitative and quantitative aspects of monitoring for predicting the steady state water quality conditions. In the present work various physico chemical parameters i.e. , Temperature, transparency, velocity, turbidity, conductivity, TS, TDS, TSS, pH, total alkalinity, total hardness, calcium, magnesium, chloride, free CO2, DO, BOD, COD, phosphate, nitrate, sodium and potassium were analyzed for various seasons; Summer, Monsoon, Winter, for the period (April, 2011-March, 2012) in surface water of river Yamuna. Our results showed that TS, TDS and TSS were maximum in monsoon and temperature and Dissolved Oxygen was found to be maximum in winter. Velocity was found to be maximum in monsoon followed by summer and winter. The observations implied that the physico- chemical conditions of River Yamuna was good in all the three seasons however change in seasonal conditions had a great effect on hydrological parameters.

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Misra, Anil Kumar. "A River about to Die: Yamuna". Journal of Water Resource and Protection 02, nr 05 (2010): 489–500. http://dx.doi.org/10.4236/jwarp.2010.25056.

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Sharma, Shikha, Pawan Kumar Jha, Manju Rawat Ranjan, Umesh Kumar Singh, Manish Kumar i Tanu Jindal. "Nutrient Chemistry of River Yamuna, India". Asian Journal of Water, Environment and Pollution 14, nr 2 (15.04.2017): 61–70. http://dx.doi.org/10.3233/ajw-170016.

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Rozprawy doktorskie na temat "YAMUNA RIVER"

AGARWAL, ROHIT. "APPLICATIONS OF QUAL2KW TOOL FOR WASTE ALLOCATION ON RIVER YAMUNA IN NATIONAL CAPITAL TERRITORY OF DELHI, INDIA". Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18410.

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Increasing water pollution is a rising concern due to industrial and domestic waste disposal in water bodies. River in the Delhi vicinity is highly polluted for the past few years due to receiving a large amount of wastewater disposal, where the in-organic waste of industrial disposal and domestic disposal are drained from 16 drainage points in the stretch of 21.9 Kilometres in river Yamuna. The purpose of this study is to investigate the cause of the pollution and compare it with the permissible parameter values using software tool. Using the Qual2Kw tool, this study analysed the water quality parameters along with the flow of the river. It is Waste load, Dissolve oxygen and pathogenic contain that plays the greatest role in the degradation of the river that leads to pollution by receiving discharge through different drain points in the length of 21.9 Kilometre along with the flow of the river in Delhi. This study defiantly explains the reason for increasing pollution and compares the calibrated data with the permissible standard values. It can be concluded that River Yamuna falls in Class D and highly polluted state, having a much higher value of waste load than permissible.

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Ramirez, Saul Gallegos. "Toward Using Empirical Mode Decomposition to Identify Anomalies in Stream FlowData and Correlations with other Environmental Data". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7574.

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I applied empirical mode decomposition (EMD) and the Hilbert-Herbert transforms, as tools to analyze streamflow data. I used the EMD method to extract and analyze periodic processes and trends in several environmental datasets including daily stream flow, daily precipitation, and daily temperature on data from the watersheds of two rivers in the Upper Colorado River Basin, the Yampa and the Upper-Green rivers. I used these data to identify forcing functions governing streamflow. Forcing functions include environmental factors such as temperature and precipitation and anthropogenic factors such as dams or diversions. The Green and Yampa Rivers have similar headwaters, but the Yampa has minimal diversions or controls while Flaming George Dam on the Green river significantly affects flow. This provides two different flow regimes with similar large watersheds. In addition to flow data, I analyzed several time series data sets, including temperature and precipitation from Northeast Utah, North Western Colorado, and Southern Wyoming. These data are from the area that defines the Yampa River and Green River watersheds, which stretch from Flaming Gorge Dam to Ouray Colorado. The EMD method is a relatively new technique that allows any time series data set, including non-linear and non-stationary datasets that are common in earth observation data, to be decomposed into a small quantity of composite finite data series, called intrinsic mode functions (IMFs). The EMD method can decompose any complicated data into several IMFs that represent independent signals in the original data. These IMFs may represent periodic forcing functions, such as environmental conditions or dam operations, or they may be artifacts of the decomposition method and not have an associated physical meaning. This study attempts to assign physical meaning to some IMFs resulting from the decomposition of the Green and Yampa flows where possible. To assign physical meaning to the IMFs, I analyzed frequencies of each IMF using the Hilbert-Hung transform, part of the Empirical Mode Decomposition method, and then compared frequencies of the IMFs with the known frequencies of physical processes. I performed these calculations on both flow, temperature, and precipitation. I found significant correlation between IMF components of flow, precipitation, and temperature data with El Niño Southern Oscillation (ENSO) events. The EMD process also extracts the long-term trend in non-linear data sets that can provide insights into the effects of climate change on the flow system. Though in preliminary stages of research, these analysis methods may lead to further understanding the availability of water within the upper Yampa and Green River Watersheds.

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Manners, Rebecca Blanche. "Mechanisms of Vegetation-Induced Channel Narrowing on an Unregulated Canyon-Bound River". DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1765.

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The processes and interactions that determine the width of a river channel remain a fundamental area of investigation in geomorphology. An increasing appreciation of the capacity of riparian vegetation to alter fluvial processes, and thus influence channel form, has highlighted the need to include vegetation in these analyses. However, a disconnect exists between the small spatial and temporal scales over which the linkages among flow patterns, sediment, and plants are evaluated and the larger spatial and temporal scales in which river systems operate. In this dissertation, I strove to identify some of the key mechanisms by which vegetation affects channel width. I worked to reconcile the issue of scale by developing a novel tool that resolves patch-scale (sub-meter) patterns of hydraulic roughness over the reach scale. While the approach can be generalized to evaluate any vegetated floodplain, the multi-scalar model was specifically applied to stands dominated by the non-native riparian shrub, tamarisk, that invaded the riparian corridor of southwestern US rivers during the past century. I focused my analyses on the lower Yampa River in western Colorado. Tamarisk colonized the Yampa in the absence of other environmental perturbations. As a result, adjustments to channel form may be linked to an altered vegetation community. From a careful geomorphic and vegetation reconstruction of the Yampa, I determined that tamarisk was the driving force in channel narrowing. Application of the multi-scalar model of vegetation resistance to the Yampa enabled me to reconstruct the changing hydraulic conditions as tamarisk established and the channel narrowed over time. This hydraulic reconstruction furthered our understanding of the interactions among vegetation recruitment patterns, the increased hydraulic resistance, and the changing flow and sediment transport field. Positive feedbacks between vegetation and geomorphic change created additional areas within the channel where tamarisk could establish, and thus accelerated the rate of channel narrowing. However, these feedbacks also changed the importance of common and large floods for vegetation establishment and sediment transport. Application of this process-based understanding to future flow regimes will help managers anticipate locations along the channel that are susceptible to vegetation encroachment and changes to channel width.

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KUMAR, AMIT. "FLOOD FREQUENCY ANALYSIS ON RIVER YAMUNA IN DELHI". Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16661.

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Flood frequency analysis is necessary for evaluating the flood peak which is used to provide the information about the probability of occurrence of an event for a particular return period. In the present study used the statistical approach for analysis the River Yamuna at Wazirabad, Indraprastha and Okhla Station in Delhi. The data had collected in form of maximum annual discharge from the Flood & Irrigation Department of Delhi from Year 1978 to 2017. So, its having the sets of observation now using the annual maximum series which is uni variant. Firstly, check the sets of observation that is time independent or not,than its decided that the discharge data is random or not which defines that our data is suitable for further computation. In this analysis adopting the method of moments which includes the various distribution i.e., Extreme value type I Distribution, Log EV type I Distribution, Normal Distribution, Log Normal Distribution, Pearson Type III Distribution, Log Pearson Type III Distribution. After that plotting the graphical representation for their distribution & their (95% confidence Limits which clearly seen in the graphical approach of the distribution). In each distribution tried to find out calculate the discharge for different return period 10,25, 50, 100, 200,500, 1000 years & also calculate the upper bound & lower bound discharges are calculated&coefficient of determination is also found which describes the scatter of observation is narrow. If the coefficient of determination is approaches to unity its means the distribution is less scatter, than comparing their results on the basis of D INDEX method which describes the best fit distribution method for River Yamuna at three barrage in Delhi.

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KHAN, SARAH. "WATER QUALITY MODELING OF RIVER YAMUNA USING MATLAB PROGRAMMING". Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14600.

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Water Quality Modeling plays a significant role in predicting the health of streams, rivers, lakes and various other surface water sources. By means of modeling various parameters that effects quality of water can be estimated and proper measures can be applied based on the predicted results which help in safeguarding the detoriating condition of the resource. The work carried out in this project report deals with the study of water quality modeling emphasing river water quality modeling and thereby development of a mathematical model to predict DO and BOD concentration of the river. The area chosen for the simulation of model is the 22 km stretch of river Yamuna at Delhi. The river Yamuna occupies a unique position in the cultural ethos of India. Being the largest tributary of river Ganga it has been one of the most important river of northern India. But due to rapidly increasing urbanization along its stretch the river is now compromising with its quality. The entire stretch of Yamuna river from origin to its confluence with Ganga is used for various human activities, the results of these activities are the generation of wastewater. River Yamuna receives significantly high amount of organic matter, which is generally, originates from domestic as well as industrial sources. For biodegradation, this organic waste requires oxygen, causing significant depletion of dissolved oxygen in river water. The oxygen depletion not only affects biotic community of the river but also affects its self-purification capacity. In this project model is made to run for three different cases, firstly for each month of the year, secondly the variation on the basis of yearly average where the actual scenario of river has been compared with the case in which one of the solution to the problem is applied that shows the improving condition. And lastly the variation at minor points has been observed to identify the most problematic region. Thus an effort has been made in the direction of improving the quality of Yamuna by predicting its DO and BOD level form source till end so that suitable recommendations can be provided to the decision makers for future scope.

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CHAUHAN, SUDESH KUMAR. "POLLUTION OF RIVER YAMUNA AND ITS CONTROL IN DELHI". Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14320.

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The River Yamuna originates from the Yamunotri in the Himalayas. It finally merges with the Ganga and Underground Saraswati at Prayag in Allahabad. Enroute it runs for approximately 22 Km along Delhi. This river quenches the thirst of almost 60% population of Delhi and in return it is cursed to become a practically dead river, which can resemble more than drain than to river. In lower reaches its water is good for nothing. This is alarming situation towards the environment degradation as mentioned above. The objective of this project is to study the quality of River Yamuna, to identify the sources of pollution of River Yamuna and to suggest preventive measures for prevention of pollution in River Yamuna. The most alarming finding of the study is the total lack of dissolved oxygen in the entire reach (from wazirabad barrage to Okhla barrage), biochemical oxygen demand is more than limits at all the locations and unbelievably high coli forms count.
Dr. S.K. SINGH PROFESSOR AND HEAD DEPARTMENT OF CIVIL & ENVIRONMENAL ENGINEERING

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Arora, Sameer. "Water Pollution Load Assessment of Yamuna River Basin (Okhla -Agra)". Thesis, 2013. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14235.

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The current rate of depletion of fresh water resources are poses a threat to our future life support system. In order to maintain the status of our natural aquatic resources, sustainability is the main focus of an Integrated Water Resources Management (IWRM). Sustainable development will secure the availability of resources for further generations. On the downstream side of the Okhla barrage, Yamuna river has almost dried up, due to the abstraction of all the fresh water. The river on the downstream of Okhla Barrage has turned completely dark and dirty, and not fit to support any aquatic life. The present study was conducted to determine the amount of water pollution load caused by various human activities, which makes the Yamuna River dirtier day by day. The flow of the Yamuna River varies significantly during monsoon and non-monsoon seasons. The river constitutes maximum flow i.e. around 80% of the total annual flow during monsoon period. During non-monsoon period the Yamuna cannot be designated as a continuous river but segregated into four independent segments due to the presence of three barrages from where almost the entire water is being diverted for various human activities. The sources contributing pollution are both point & non-point type. Urban agglomeration at Faridabad, Vrindavan, Mathura and Agra is the major contributor of pollution in the Yamuna River. About 85% of the total pollution in the river is contributed by domestic sources. The condition of river deteriorates further due to abstraction of significant amount of river water, leaving almost no fresh water in the river, which is essential to maintain the assimilation capacity of the river. About 280 km long river stretch between Okhla barrage and Taj Mahal in Agra confluence is critically polluted. This stretch is characterized by high organic contents, high nutrients, significant depletion or increase in dissolved oxygen, severe odours etc. In the stretch from Okhla to Agra water quality monitoring was carried out to evaluate the pollution load of the river. Water quality monitoring facilitates evaluation of nature and 2 extent of pollution and effectiveness of pollution control measures, water quality trends and prioritization of pollution control efforts. Water samples were collected from the different river and drain location and pH, COD, DO, BOD, TSS and heavy metals were measured as per the APHA-AWWA standards. As the water quality standards are not remain same all over the stretch of the river. Therefore, it necessary to determine or have knowledge of the water quality of river before it enters the study area. Water quality of the Yamuna also studied thoroughly in the stretch starting from downstream of Hathnikund barrage to upstream of Okhla barrage to determine the fluctuation in the various parameters of river Yamuna. Variation in the water quality up to Okhla barrage is covered in chapter 4. From the Okhla barrage 101 cusec of water enters downstream of barrage, this is lesser than the minimum flow required for maintaining the sufficient flow in the river. Water samples collected from the downstream of the barrage even doesn’t meet the water quality criteria of class “C” of river water. Water samples also collected from the all the STPs, drains and river locations in the study area. Water quality status of the study area covered in chapter 5 and results obtained from the analysis of various physio-chemical parameters and heavy metals are detailed in chapter 6. Heavy metals were studied in the stretch between Okhla to Agra. Cadmium, Nickel and Lead were rarely present in the river, whereas zinc and iron were generally present. BOD was found exceeding the standards at almost every sample and DO were found nil in the stretch up to Agra. For abatement of domestic source of pollution in Yamuna river various steps are required to be undertaken, which includes – reduction of gap between wastewater generation and its treatment; maximum utilization of sewage treatment facilities; decentralization of sewage treatment plants; segregation of industrial and domestic waste; the treated sewage must be used for irrigation; aqua culture etc. To control industrial pollution, careful planning for the development of industrial areas based on environmental impact assessment is necessary. All the small scale industries should be connected with Combined Effluent Treatment Plant.
Dr. B. Jhamnani & Dr. Anil Kumar

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CHOPRA, VIVEK. "ALGAL BIODIVERSITY BASED RECONSTRUCTION OF THE PAST LOCAL AND REGIONAL ENVIRONMENTAL CONDITIONS OF RIVER YAMUNA IN DELHI REGION". Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18099.

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River Yamuna is one of the most essential river of India originating from the Yamunotri glacier in Himalayas from a height of 6387 meters and travelling a total length of 1,376 kilometres before it merges in river Ganga. A majority of population depends on river Yamuna for their daily needs. Yamuna enters in Delhi at Palla village covering a stretch of 48 kilometres. This is where it receives huge amount of pollutants as sewage and industrial disposals. However, it is assumed that river Yamuna was clean and in good health during earlier times. Therefore, the present research is the first attempt to study the paleolimnological conditions of river Yamuna using river bed sediments for radioactive Carbon-14 dating and using diatom diversity as an indicator of paleolimnological conditions . Two sites were selected for the research work, SITE A Palla village of Delhi where Yamuna enters in Delhi and SITE B was near Okhla barrage which is present almost at the last stretch of Yamuna in Delhi. SITE A, Palla village is present far from urban population of Delhi and surrounded by agricultural fields while Okhla barrage is located in vicinity of a outsized human population where it receives a massive amount of pollution through sewage and industrial wastes. A total of 18 river sediment samples were taken at different depths from both the sites in which 9 samples were from SITE A and 9 samples from SITE B. Diatoms have been an essential component of paleolimnological assessments for a variety of reasons, which includes their well-preserved siliceous frustules, their ability to respond swiftly to variations in the environment and their distribution among a varied range of water quality gradients. Therefore, diatom assemblage of particular vi sediment from river bed was used to reveal ecological conditions of a particular time frame observed by radiocarbon 14C analysis. A total of 31 species of diatom was observed from the riverbed sediments. Each sample revealed almost different diversity of diatoms. The ecological indicators like pH, trophic state, Nitrogen uptake, oxygen and moisture requirements which are very unique for every diatom taxa were used to reveal environmental conditions of the river Yamuna in prehistoric times using the sediments collected from river bed. Other experiments like SEM-EDAX, CHNS analysis, XRD and XRF analysis were also performed to study the geochemical nature of sediments. Different elements like Si, O, Al, Nb were recorded from river sediments by EDAX analysis, while CHNS analysis helped in analyzing the concentrations of Carbon, Hydrogen, Nitrogen and Sulphur. The nature of mineral composition is studied with the help of XRD which revealed Quartz as the major mineral present at both the Sites. XRF revealed most of the oxides, trace elements and some heavy metals from the riverbed sediments. Various oxides and trace elements which are found in XRF analysis are Al2O3, CaO, Fe2O3, K2O, MgO, Na2O, P2O5, SiO2, TiO2, Th, MnO, Sc, V, Cr, Co, Ni, Cu, Zn, Rb, Sr, Zr, Ba, Pb. The correlation of these oxides and trace metals is an efficient way to study chemical nature of river Yamuna sediments. Paleolimnological and geochemical data revealed from sediments could be of great significance for understanding complex nature of river sediments components, diatom diversity and ecology and hence in conservation of river.

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Patel, Jayshri. "Assessing uncertainties in simulating stream flow projections under climate change for upper yamuna river basin". Thesis, 2018. http://eprint.iitd.ac.in:80//handle/2074/8020.

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NEHRA, VAISHALI. "ASSESSMENT OF WATER QUALITY OF NAJAFGARH DRAIN AND ITS IMPACT ON RIVER YAMUNA". Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16417.

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Water is one of the basic amenities of life and Yamuna is a major source of water supply for Delhi and nearby states of Haryana, Uttar Pradesh, Rajasthan etc. Due to the rapid growth of industries and advanced agricultural activities in and around national capital territory Delhi, the deterioration of Yamuna river has become a major concern. The objective of this study is to assess the Water Quality Of Najafgarh drain and unveil the present deteriorated condition of Yamuna river in Delhi. A comparison has been made between the water quality of river Yamuna before and after the confluence of Najafgarh Drain into it. The present situation and contamination level of River has been analysed due to various drains present in the Delhi stretch. The effect of pollution load and waste water added to Yamuna in Delhi is studied by comparing the water quality in river Yamuna at palla( before entering in Delhi) and at Okhla barrage (the downstream point from where the river Yamuna meets Agra canal and leaves Delhi.). For the study, water samples were collected from six different locations in river and Najafgarh Drain. Experimental results indicated that the water quality of river was comparable with the Drain as most of the parameters were exceeding the prescribed standards for surface water. The WQI is calculated for the various locations of Yamuna river and it indicated that tremendous efforts are required to improve the water quality of river Yamuna. As Yamuna water is used for irrigation so the suitability of water for irrigation is analyssed using different irrigation parameters. Overall the study concluded that Yamuna river has been converted into a Drain in Delhi stretch and its water is not suitable for any other purposes without proper and highly efficient treatment system.

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Książki na temat "YAMUNA RIVER"

Rai, Raveendra Kumar, Alka Upadhyay, C. Shekhar P. Ojha i Vijay P. Singh. The Yamuna River Basin. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2001-5.

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Aniruddha. Yamuna titeersha: The river crossing. Austin, Tex: Indus Books, 2001.

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Rathore, D. S. Floodplain mapping in a part of Yamuna river. Roorkee: National Institute of Hydrology, 1997.

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India. Central Pollution Control Board., red. Water quality status of Yamuna River, 1999-2005. Delhi: Central Pollution Control Board, 2006.

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S, Panwar Hemendra, i PEACE Institute Charitable Trust (Delhi, India), red. Reviving river Yamuna: An actionable blue print for a blue river. Delhi: PEACE Institute Charitable Trust, 2009.

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Jha, Ramakar. Statistical analysis of water quality data of river Yamuna. Roorkee: National Institute of Hydrology, 2001.

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In search of Yamuna: Reflections on a river lost. New Delhi: Vitasta Pub., 2011.

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Haberman, David L. River of love in an age of pollution: The Yamuna River of northern India. Berkeley, CA: University of California Press, 2006.

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River of love in an age of pollution: The Yamuna River of northern India. Berkeley: University of California Press, 2006.

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Dutta, Ritwick. The unquiet river: An overview of select decisions of the courts on the river Yamuna. Delhi: PEACE Institute Charitable Trust, 2009.

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Części książek na temat "YAMUNA RIVER"

Rai, Raveendra Kumar, Alka Upadhyay, C. Shekhar P. Ojha i Vijay P. Singh. "Salient Features of the Yamuna River Basin". W Water Science and Technology Library, 13–25. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2001-5_2.

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Nishat i Dhruv Sen Singh. "The Yamuna River: Longest Tributary of Ganga". W Springer Hydrogeology, 123–33. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-2984-4_10.

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Ghosh, Debarshi, i Madhuri Kumari. "Microplastic Detection and Analysis in River Yamuna, Delhi". W Lecture Notes in Civil Engineering, 233–40. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1303-6_19.

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Banerjee, D. K., i E. P. Jagadeesh. "Copper Complexation Capacity of River Yamuna in Delhi". W Chemistry for the Protection of the Environment, 341–54. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3282-8_29.

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Upadhyay, Alka, i Raveendra Kumar Rai. "Brief Overview of the Yamuna River Basin and Issues". W SpringerBriefs in Earth Sciences, 13–24. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5709-7_2.

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Zehra, Rahat, Madhulika Singh i Jyoti Verma. "WebGIS Concept of River Pollution Monitoring System—A Case Study of Yamuna River". W Algorithms for Intelligent Systems, 91–95. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6707-0_9.

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Chaudhary, Siddharth, A. Agarwal i Tai Nakamura. "Rainfall Projection in Yamuna River Basin, India, Using Statistical Downscaling". W Water Resources and Environmental Engineering II, 15–23. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2038-5_2.

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Ghildyal, Divya, M. B. Santhosh Kumar i K. P. Singh. "Covid Lockdown Improves the Health of River Yamuna: A Pilot Study". W Society of Earth Scientists Series, 439–54. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13119-6_27.

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Bhadu, Shobhika, i Milap Punia. "Governance and Floodplain Extent Changes of Yamuna River Floodplain in Megacity Delhi". W Advanced Remote Sensing for Urban and Landscape Ecology, 191–228. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3006-7_10.

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Sharma, Deepshikha, i Ram Karan Singh. "Do-Bod Modeling of River Yamuna Using STREAM-II for NCT Region, India". W Advances in Water Resources and Hydraulic Engineering, 763–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89465-0_134.

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Streszczenia konferencji na temat "YAMUNA RIVER"

Mulloth, Bala, i Bharat Rao. "Revitalizing the Yamuna River: Social Entrepreneurship Approaches". W 2018 Portland International Conference on Management of Engineering and Technology (PICMET). IEEE, 2018. http://dx.doi.org/10.23919/picmet.2018.8481862.

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Kushwah, Vinod Kumar, Rohit Kumar, Ashish Shukla, Payal Dubey i Mohit Verma. "Water quality assessment of Yamuna river in Mathura". W 2ND INTERNATIONAL CONFERENCE ON FUTURISTIC AND SUSTAINABLE ASPECTS IN ENGINEERING AND TECHNOLOGY: FSAET-2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0154020.

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Singh, Yuvraj, i Smita Tung. "Soil stabilization of Yamuna river bank using rice hull". W 2ND INTERNATIONAL CONFERENCE ON FUTURISTIC AND SUSTAINABLE ASPECTS IN ENGINEERING AND TECHNOLOGY: FSAET-2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0154074.

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Schlaich, Mike, i Uwe Burkhardt. "Urban Infrastructure: The Signature Cable-Stayed Bridge in Delhi". W IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.0301.

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To relief the heavily congested north-eastern access to the metropolis of Delhi a new eight-lane bridge across the Yamuna river was required. The new bridge shall not only resolve the traffic problem but in a holistic approach become a new landmark for the northern part of Delhi and the seed of a new recreational area along the cleaned and recultivated Yamuna shores.A single-pylon cable-stayed bridge now crosses the Yamuna river bed with a main span of 250 m to leave ample space for the future lake created here. The inverted Y-shaped pylon with a height of 150 m is leaning backwards to counterbalance the weight of the composite deck above the river. Also, the two cable planes of the main span are merged in the pylon to a central cable plane that leads to the backstay anchorages. The outcome was a uniquely shaped, origami-like pylon that is topped by a glass tip to act as a beacon at night.The combination of a robust composite concrete deck with a prefabricated steel pylon made such a design feasible in the seismic area of Delhi. The bridge is equipped with an advanced monitoring system to ensure its anticipated durability into the next century.

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Mazhar, Mohd Aamir, Sirajuddin Ahmed, Azhar Husain i Rahisuddin. "Trends in organic contamination in river Yamuna: A case study of Delhi stretch". W 2ND INTERNATIONAL CONFERENCE ON FUTURISTIC AND SUSTAINABLE ASPECTS IN ENGINEERING AND TECHNOLOGY: FSAET-2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0153925.

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Deepika, Raman Kumar i Foster McMasters. "Planning and Design of Sewerage Infrastructure for a Congested Area in Delhi: A Case Study Towards Pollution Abatement in River Yamuna". W Pipelines 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480878.024.

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Tenney, Ray D., i Charles M. Brendecke. "Planning for Water Development and Endangered Species Recovery in the Yampa River Basin". W Wetlands Engineering and River Restoration Conference 1998. Reston, VA: American Society of Civil Engineers, 1998. http://dx.doi.org/10.1061/40382(1998)52.

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Zhu, Yuliang, Xiaoyan Wei i Chencheng Xu. "The Salt Flux in the Pearl River Delta, China". W ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/omae2012-83737.

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The increase of saltwater intrusion in recent years in the Pearl River Delta, has threatened the freshwater supply in the surrounding regions, especially the cities of Zhongshan, Zhuhai, Guangzhou in Guangdong Province and Macau. A numerical modeling system using nested grids was developed to simulate the salinity distribution in the Pearl River delta, and then to investigate the salt transport process and calculate the salt flux for each outlet in the Pearl River estuary. The model forcing functions consist of tidal elevations along the open boundaries and freshwater inflows from the major tributaries in the Pearl River system. The model simulation results are in qualitative agreement with the available field data. The salt flux of the Pearl River delta during the spring tide in dry season is up to 19.5×106ton/ tidal period, while the salt flux during neap tide is only 5.1×106ton/ tidal period, 26.18% of that during the spring tide. The salt flux in Dahu and Guanchong stations are the highest among the stations of the eight outlets, indicating that Humen and Yamen are the most important entries for saltwater intrusion in the Pearl River delta. The most important reason is that the ratio of stream flow to tide flow is different for each outlet. The ratios at Humen and Yamen are the smallest among the eight outlets (<1 for each month), while the ratio at Modaomen is the biggest (>1 for each month), which leads to the lowest salt flux at Modaomen. Salinity distribution in different time periods shows that saltwater intrusion during the spring tide is much more serious than neap tide, and water in many cities during this time period will be unavailable for drinking, irrigation or for ecological purpose.

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TABATA, TOSHINORI, MITSUHIRO INOUE, KAZUAKI HIRAMATSU i MASAYOSHI HARADA. "HYDRAULIC ANALYSIS OF SEDIMENT TRANSPORTATION IN YAMADA WEIR LOCATED IN CHIKUGO RIVER, JAPAN". W 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-1240.

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Kemper, John T., Sara L. Rathburn i Jonathan M. Friedman. "GSA QUATERNARY GEOLOGY AND GEOMORPHOLOGY DIVISION STANLEY A. SCHUMM AWARD: FLOODPLAIN FOREST ESTABLISHMENT AND LEGACY SEDIMENT WITHIN THE YAMPA RIVER BASIN, NORTHERN COLORADO". W GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-333488.

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Raporty organizacyjne na temat "YAMUNA RIVER"

Perkins, Dustin. Invasive exotic plant monitoring at Dinosaur National Monument: Results of the 2019 field season on the Green River, and the third completed monitoring rotation. Redaktor Alice Wondrak Biel. National Park Service, grudzień 2021. http://dx.doi.org/10.36967/nrr-2284627.

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Invasive exotic plant (IEP) species are a significant threat to natural ecosystem integrity and biodiversity, and controlling them is a high priority for the National Park Service. The Northern Colorado Plateau Network (NCPN) selected the early detection of IEPs as one of 11 monitoring protocols to be implemented as part of its long-term monitoring program. We also calculated a patch management index (PMI) to quantify the extent and density of invasive patches into a single value that helps identify the scale of the problem. Park managers can use this tool to help prioritize IEP treatment. At Dinosaur National Monument, the NCPN monitors IEPs in the Green and Yampa river corridors. This report summarizes data from monitoring on the Green River in 2019, and monitoring on the Yampa River in 2017, to represent the completion of the third monitoring rotation of the entire river corridor (2002–2005, 2010–2011, 2017–2019). During surveys conducted from June 26 to July 2, 2019, NCPN staff detected 12 priority IEP species and two non-priority species in a 84.6-hectare (209-acre) area along 74.4 kilometers of the Green River above (“upper”) and below (“low-er”) its confluence with the Yampa. A total of 2,535 IEP patches were detected. Of those patches, 24.2% and 15.6% were smaller than 40 m2 on the upper and lower Green River reaches, respectively. The patch management index (PMI) was low or very low for 95.7% of patches on the upper Green River and 90.9% of patches on the lower Green River. Tamarisk (Tamarix sp.), broad-leaf pepperwort (Lepidium latifolium), and yellow sweetclover (Meli-lotus officinalis) were the most widespread species. For the first time, NCPN monitoring detected teasel (Dipsacus sylvestris) on the upper Green River. Yellow sweetclover has increased on all three river reaches during the survey years. Musk thistle (Carduus nutans) was found at considerably lower levels than yellow sweetclover but has also increased on all three river reaches. Leafy spurge is increasing on the lower Green River and Yampa River. Cheatgrass was not monitored in the first rotation, but increased substantially in cover and percent frequency on all three river sections from 2010–2011 to 2017–2019. This increase may be due to a lack of recent high-flow scouring events. The highly regulated upper Green River generally has the highest number of IEPs, while the lower Green River has a moderate amount of IEPs. The largely unregulated flows of the Yampa River continue to result in a lower number of patches per kilometer, lower percent cover, and lower percent frequency than the upper or lower Green River. Network staff will return to the monument in 2022 to begin the fourth monitoring rotation.

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Traveltime and dispersion of contaminants in the Yampa River from Steamboat Springs to the Green River, northwestern Colorado. US Geological Survey, 2000. http://dx.doi.org/10.3133/wri994239.

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Evaluation of trends in pH in the Yampa River, northwestern Colorado, 1950-2000. US Geological Survey, 2002. http://dx.doi.org/10.3133/wri024038.

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Simulation of streamflow in small drainage basins in the southern Yampa River basin, Colorado. US Geological Survey, 1989. http://dx.doi.org/10.3133/wri884071.

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Characterization of water quality for streams in the southern Yampa River basin, northwestern Colorado. US Geological Survey, 1991. http://dx.doi.org/10.3133/wri884204.

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Traveltime and reaeration of selected streams in the North Platte and Yampa River basins, Colorado. US Geological Survey, 1989. http://dx.doi.org/10.3133/wri884205.

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Calibration of a dissolved-solids model for the Yampa River basin between Steamboat Springs and Maybell, northwestern Colorado. US Geological Survey, 1987. http://dx.doi.org/10.3133/wri864190.

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Initial effects of Stagecoach Reservoir on discharge, water-quality characteristics, and suspended-sediment loads in the Yampa River, northwestern Colorado. US Geological Survey, 1996. http://dx.doi.org/10.3133/wri954101.

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