An Integrated Study of the Yamuna River Basin to Set Up a Reference Condition Using an Archival Data Set of the 20th Century by Geospatial Technology

The River Yamuna is one of the most prominent and sacred rivers of India. Due to the unaccounted discharge from many anthropogenic activities and industrialization in the basin, the deterioration of the river with respect to time is at its maximum. Periodical analysis is essential for remediation of the causes and the source. The study has been undertaken using GIS technology to understand the variations being taken place in the past decades. The transformation in the physical and geographical characteristics, during the years since 1980-81, of the Yamuna River Basin has been analyzed and converted into digital GIS domain in terms of maps and charts. The reference condition of the basin has been set up and utilized in order to identify the change in land use and land cover of the river premises around Delhi and its neighbouring states. The vegetation analysis with respect to climatic conditions and water quality deterioration has also been assessed in the present study.

CYPRINUS CARPIO: BIOINDICATOR OF HEAVY METAL POLLUTION IN YAMUNA RIVER, DELHI REGION

Heavy metals being persistent pose conglomerated hazards towards safety and human health. Impacts of heavy metal pollution can be exhibited by both natural and anthropogenic activities. Therefore, developing nations are under immense pressure of controlling the environmental impacts of increasing industrialization and pollution, subject to their limited resources and infrastructure. Bioindicators are important biological entities to determine the positive/ negative changes in the desired ecosystem. They are the fast respondents towards the slightest changes and provide early reliable results. Identifying & establishing a suitable bioindicator can provide a faster and inexpensive way to address the undesirable effects. Cyprinus carpio, a freshwater fish, is used to determine the Lead (Pb) at different locations of Yamuna River and the bioavailability in different tissues. In the present study, we are trying to establish fish as an indicator of lead pollution in the river. It is a well-known fact that the water bodies are most affected by human activities. Polluted water bodies can lead to adverse effects on human health. Lead is also known to cause phytotoxicities in aquatic and terrestrial plants. This study is therefore an attempt to identify the harmful impacts of lead in River ecology. Ten fish specimens of C. carpio were collected from four different sites of Yamuna River and analyzed for Lead accumulation in fish tissues. High concentration and accumulation were observed in specimens collected from various locations and found to be higher than the permissible limits for human consumption.

GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India

Urban floods are very destructive and have significant socioeconomic repercussions in regions with a common flooding prevalence. Various researchers have laid down numerous approaches for analyzing the evolution of floods and their consequences. One primary goal of such approaches is to identify the areas vulnerable to floods for risk reduction and management purposes. The present paper proposes an integrated remote sensing, geographic information system (GIS), and field survey-based approach for identifying and predicting urban flood-prone areas. The work is unique in theory since the methodology proposed finds application in urban areas wherein the cause of flooding, in addition to heavy rainfall, is also the inefficient urban drainage system. The work has been carried out in Delhi’s Yamuna River National Capital Territory (NCT) area, considered one of India’s most frequently flooded urban centers, to analyze the causes of its flooding and supplement the existing forecasting models. Research is based on an integrated strategy to evaluate and map the highest flood boundary and identify the area affected along the Yamuna River NCT of Delhi. In addition to understanding the causal factors behind frequent flooding in the area, using field-based information, we developed a GIS model to help authorities to manage the floods using catchment precipitation and gauge level relationship. The identification of areas susceptible to floods shall act as an early warning tool to safeguard life and property and help authorities plan in advance for the eventuality of such an event in the study area.

Dissolved oxygen modelling of Yamuna River using different ANFIS models

Dissolved oxygen is one of the prime parameters for assessing the water quality of any stream. Thus, the accurate estimation of dissolved oxygen is necessary to evolve measures for maintaining the riverine ecosystem and designing the appropriate water quality improvement plans. Machine learning techniques are becoming valuable tools for the prediction and simulation of water quality parameters. A study has been performed in the Delhi stretch of Yamuna River, India, and physiochemical parameters were examined for five years to simulate the dissolved oxygen using various machine learning techniques. Simulation and prediction competencies of adaptive neuro fuzzy inference system – grid partitioning (ANFIS-GP) and subtractive clustering (ANFIS-SC) were performed on high dimensional river characteristics. Four different models (M1, M2, M3 and M4) were developed using different combination of input parameters to predict dissolved oxygen. Results obtained from the models were evaluated using root mean square error (RMSE) and coefficient of determination (R2) to identify the appropriate combination of parameters to simulate the dissolved oxygen. Results suggest that both types of ANFIS models work adequately and accurately predict the DO; however, ANFIS-GP outperforms the ANFIS-SC. M4 generated R2 of 0.953 from ANFIS-GP compared to 0.911 from ANFIS-SC.

A study on chromium accumulation in Labeo rohita in the river Yamuna ecosystem in Mathura-Agra region in Uttar Pradesh, India

The present study revealed the chromium toxicity and its health measures in L. rohita from the Yamuna river at Mathura- Agra region. Samples were taken in triplicate from both sites i.e. Vrindavan (Bihar ghat) and Agra (Renuka Ghat). The study was carried out on Four different organs (i.e. gills, muscles, liver, and kidney) of the fish sample. The sampling was done from Oct 2018 to January 2020. Chromium concentration in different organs of the fish was analyzed by Atomic absorption spectrophotometer(AAS). The average Cr concentration in gills was highest (9.64 mg/l) at the Mathura site followed byAgra sites (7.78 mg/l) for the month of April 2019. The concentration of Cr was highest in samples taken in the month of April 2019 and it was lowest in October 2018. The significantly high Cr concentration values were observed in the Mathura region than the Agra region for both seasons. In all samples, Cr concentration was above the standards stated by WHO except in the Kidney. In the present study, the bioaccumulation factor showed the chromium concentration in the tissues followed the order of gill > liver > muscle > kidney. HPI, MQI, and Pearson’s correlation coefficient analysis were also done in which HPI was observed very high and there was a positive correlation between all the samples. Keywords: Chromium, BCF, HPI, MQI, AAS, Fish Organs

Secretly Together

The last comparative chapter attends to the poetic imagery of merging used to describe the meeting of the divine lover and the beloveds. The first section, “Together,” examines how the Amada and her lover drink together and how the gopīs dance with Kṛṣṇa by the Yamunā River. The main question of the theological commentaries is how much the divine and his lovers actually turn into each other, and how this manages to occur even as a gap is retained for the sake of the enjoyment and for allowing the love to flow between them. The second section, “Secretly,” dwells on the secret of how God loves and is loved, as disguised in the intricate metaphors of the poetry. The commentaries on both sides resort to the theopoetic strategy of constructing metaphorical layers that simultaneously reveal and occlude the meaning of God’s love.

Surface Water Quality Variation Under the Influence of COVID-19 Quarantine on the Example of the Yamuna River (Delhi)

During the current COVID-19 pandemic, various forms of lockdown have been adopted, globally. This study evaluated the contamination changes (pre, post and during the lockdown) in the Yamuna River following the nationwide COVID-19 lockdown from 25 March–30 May (India). Samples of the surface water were taken from 9 sampling points to determine the physico-chemical, and biological concentration changes in surface water. The investigation showed the fluctuating results of the parameters. The peak saturation of physico-chemical parameters were observed prior to lockdown, followed by the post and during lockdown phases. The BOD and COD concentrations declined by 66% and 39.25%, respectively, compared to the pre-lockdown phase, while Faecal Coliform declined by over 40%. The improvement shown in this period indicates that it is possible for the Yamuna River to be cleaned up easily if people and the government come together.