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Journal articles on the topic 'Mahananda Basin'

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Author: Grafiati

Published: 18 May 2024

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1

Thokdar, Tanmay, and Snehasish Saha. "A micro scale study of Mahananda river bank erosion and temporal Land use land cover scenario with special reference to natural forest in the foothills of Darjeeling Himalaya, West Bengal, India." RESEARCH REVIEW International Journal of Multidisciplinary 8, no. 10 (October 13, 2023): 103–18. http://dx.doi.org/10.31305/rrijm.2023.v08.n10.012.

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Bank erosion is an inevitable vestige of past to evident fluvial dynamics in relation to its discharge and velocities and work-load in view of its load washed or unwashed. The central idea is best suited to study the case of River Mahananda alias Mahanadi within the Upper Mahananda River basin area having similar kind of attestation of facts. The present study needed extraction of satellite imageries of Landsat from USGS sites associated with its processing and ultimately to frame out the temporal scenes through NDVI technique to visualize if the forest cover is at all influenced by bank erosion or not or for specific scales whatever is the reality. The inference registered heavy scouring along the hugging banks with temporal avulsions and bed aggradation. The rates of change of foothill forest areas and variation of cultivable areas for a period of 30 years initiating from 1990 is addressed to study here.

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2

Jha, Pankaj Kumar. "State, Floods and Politics of Knowledge: A Case of the Mahananda Basin of Bihar." Studies in Indian Politics 9, no. 1 (April 8, 2021): 91–104. http://dx.doi.org/10.1177/2321023021999177.

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This article identifies two main perspectives on flood control: the traditional and the modern hydrological. The objective here is to look at the contest between them from the point of view of the politics of knowledge. The traditional perspective views floods as a part of life and focuses on people’s wisdom or local knowledge of flood control. The hydrological approach, on the other hand, is mostly concerned with taming a river and views floods as a disaster that ought to be controlled and possibly eliminated. This perspective dominates the policy of the post-colonial state in India. There are five vantage points, such as historical context, state policy, political economy, collective action and epistemology, to understand the politics of knowledge around floods. In the first section, through history we discuss the transition from the colonial to post-colonial India on the issues of floods, dams and embankments. The second section of this article describes the flood policy and politics around it, from Patna Flood Conference (1937) to Disaster Management Act, 2005. In Political Economy section the article explores the link between land-holdings, tenancy and floods and also observes how agriculture has changed due to floods. The fourth section, Forms of Collective Action, explores the politics of collective action. Epistemology section presents the debate of lokvidyavs versus rajyavidya or living with floods versus hydrological knowledge.

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3

Reza, S. K., S. Mukhopadhyay, D. Dutta, T. Chattopadhyay, J. Mukhopadhyay, D. Maurya, and B. S. Dwivedi. "Soil-landform relationship and pedogenesis of flood plain soils of Mahananda sub-basin, Bihar." Journal of the Indian Society of Soil Science 70, no. 2 (2022): 172–81. http://dx.doi.org/10.5958/0974-0228.2022.00017.2.

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4

Anonna, Tasnim Abdary, Zia Ahmed, Rafiul Alam, Md Masud Karim, Zhixiao Xie, Pankaj Kumar, Fei Zhang, and Jesus Simal-Gandara. "Water Quality Assessment for Drinking and Irrigation Purposes in Mahananda River Basin of Bangladesh." Earth Systems and Environment 6, no. 1 (November 28, 2021): 87–98. http://dx.doi.org/10.1007/s41748-021-00274-x.

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5

Rahaman, Md Abdur, Anurup Guha, and K. Geeth Sagar. "Knowledge, Exposure and Practice of Health Care Workers Regarding Emergency Airway Management in a Tertiary Care Centre of West Bengal: Questionnaire-Based Analytical Study." International Journal of Medical and Biomedical Studies 7, no. 3 (March 21, 2023): 09–14. http://dx.doi.org/10.32553/ijmbs.v7i3.2683.

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Background: Endotracheal intubation is an essential resuscitative procedure in the emergency setting, to maintain a patent airway. In our day-to-day practice at a tertiary care centre calls for intubation remain in quite a demand. As we all know in the emergency setting we first advocate maintaining the so-called A (airway), B(breathing) and C(circulation) and this is where lies the importance of intubation. Objective: The study was done to assess the knowledge, competency, and exposure regarding emergency airway management among healthcare workers in this region of West Bengal which caters to patients from the Mahananda Basin, in particular, Malda. Methodology: A questionnaire-based cross-sectional study was conducted. The study tool was a standard questionnaire containing 14 questions, which was developed to assess the knowledge, exposure, and practice of the study group in a Tertiary Care Centre of West Bengal. Results: the questionnaire based analytical study revealed gross lack of knowledge among caregivers regarding management of airway during emergency situations. Inference: Basic knowledge in terms of theory seems to prevail among almost all the participants but they lack the congruity between knowledge and exposure, hence an interactive curriculum should be designed to train the target groups in order to avoid the catastrophe seen during emergency situations.

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6

Choudhury, Sudhir Ranjan, Ajay K. Singh, Anupama Mahato, Ashutosh Anand, and Alok Kumar Chandrakar. "A Comprehensive Review of the Mahanadi River Basin in Chhattisgarh, India." Ecology, Environment and Conservation 29, no. 04 (2023): 1648–58. http://dx.doi.org/10.53550/eec.2023.v29i04.031.

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The Mahanadi River is an interstate (Chhattisgarh and Odisha) river in India that flows for 851 kilometers, 357 of which are in Chhattisgarh. It is the lifeline of Chhattisgarh and Odisha. The Mahanadi River Basin (MRB) in Chhattisgarh covers an area of 75,136 km2 . This paper provides a detailed database on water demand and use, LULC changes, biodiversity, pollution status, and man-made structures, such as dams/ reservoirs, built in the Mahanadi river basin in Chhattisgarh. The significance of this overview paper stems from the fact that it improves river management and water distribution for various sectors in Chhattisgarh. Furthermore, it aids in the mitigation and adaptation to climate change, as well as the achievement of sustainable development goals.

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7

Ratha, Keshab Chandra. "Growing Industrialisation and its Cumulative Impacts: Insights from the Mahanadi River Basin." Social Change 49, no. 3 (September 2019): 519–30. http://dx.doi.org/10.1177/0049085719863904.

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The Mahanadi river faces large-scale ecological disaster due to a variety of anthropogenic stresses. A prime factor is rapid industrialisation and coal-fired power generation plans that are being encouraged by the states of Odisha and Chhattisgarh. These are not only impacting the flow of the river’s waters and damaging the health of its basin but have also made the area susceptible to climate change. The industrial growth-based development has already polluted the Mahanadi to an irrecoverable extent. The over-allocation of water to industries has adversely effected the region’s irrigation and agriculture leading to a bitter contestation between industry and the farming community. As this comment emphasises, both state governments are taking advantage of the Mahanadi river for industrial use to maximise revenue generation but are at the same time are being insensitive to the adverse environmental and ecological consequences that such exploitation will surely lead to.

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8

Sahu, Netrananda, Arpita Panda, Sridhara Nayak, Atul Saini, Manoranjan Mishra, Takahiro Sayama, Limonlisa Sahu, Weili Duan, Ram Avtar, and Swadhin Behera. "Impact of Indo-Pacific Climate Variability on High Streamflow Events in Mahanadi River Basin, India." Water 12, no. 7 (July 9, 2020): 1952. http://dx.doi.org/10.3390/w12071952.

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The potential impact of climate variability on the hydrological regime in the Mahanadi river basin is of great importance for sustainable water resources management. The impact of climate variability on streamflow is analyzed in this study. The impact of climate variability modes on extreme events of Mahanadi basin during June, July, and August (JJA), and September, October, and November (SON) seasons were analyzed, with daily streamflow data of four gauge stations for 34 years from 1980 to 2013 found to be associated with the sea surface temperature variations over Indo-Pacific oceans and Indian monsoon. Extreme events are identified based on their persistent flow for six days or more, where selection of the stations was based on the fact that there was no artificially regulated streamflow in any of the stations. Adequate scientific analysis was done to link the streamflow variability with the climate variability and very significant correlation was found with Indian Ocean Dipole (IOD), El Nino Southern Oscillation (ENSO), El Nino Modoki Index (EMI), and Indian monsoon. Agriculture covers major portion of the basin; hence, the streamflow is very much essential for agriculture as well as population depending on it. Any disturbances in the general flow of the river has subjected an adverse impact on the inhabitants’ livelihood. While analyzing the correlation values, it was found that all stations displayed a significant positive correlation with Indian Monsoon. The respective correlation values were 0.53, 0.38, 0.44, and 0.38 for Andhiyarkore, Baronda, Rajim, and Kesinga during JJA season. Again in the case of stepwise regression analysis, Monsoon Index for the June, July, and August (MI-JJA) season (0.537 for Andhiyarkore) plays significant role in determining streamflow of Mahanadi basin during the JJA season and Monsoon Index for July, August, and September (MI-JAS) season (0.410 for Baronda) has a strong effect in affecting streamflow of Mahanadi during the SON season. Flood frequency analysis with Weibull’s plotting position method indicates future floods in the Mahanadi river basin in JJA season.

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9

Singh, K. B. "Pot-hole subsidence in Son-Mahanadi Master Coal Basin." Engineering Geology 89, no. 1-2 (January 2007): 88–97. http://dx.doi.org/10.1016/j.enggeo.2006.09.011.

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10

Kumar, Anil, and R. P. S. Chhonkar. "Flood inundation mapping in a part of Mahanadi river basin." Journal of the Indian Society of Remote Sensing 17, no. 1 (March 1989): 13–16. http://dx.doi.org/10.1007/bf02995960.

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11

Chakrapani, G. J., and V. Subramanian. "Factors controlling sediment discharge in the Mahanadi River Basin, India." Journal of Hydrology 117, no. 1-4 (September 1990): 169–85. http://dx.doi.org/10.1016/0022-1694(90)90091-b.

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12

Nayak, Goutam Kumar, and Ch Rama Rao. "Structural Configuration of Mahanadi Offshore Basin, India: An Aeromagnetic Study." Marine Geophysical Researches 23, no. 5/6 (2002): 471–79. http://dx.doi.org/10.1023/b:mari.0000018244.65222.9a.

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13

Nicholson, J. W. "Report of the Bamboo Forest for the Lower Mahanadi Basin." Indian Forester 148, no. 11 (July 1, 2022): 1179. http://dx.doi.org/10.36808/if/2022/v148i11/169728.

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14

Chavan, Sagar Rohidas, and V. V. Srinivas. "Probable Maximum Precipitation Estimation for Catchments in Mahanadi River Basin." Aquatic Procedia 4 (2015): 892–99. http://dx.doi.org/10.1016/j.aqpro.2015.02.112.

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15

Tripathi, Archana. "Palynological expression about Permian-Triassic transition in the Talcher Coalfield, Orissa, India." Journal of Palaeosciences 50, no. (1-3) (December 31, 2001): 247–53. http://dx.doi.org/10.54991/jop.2001.1826.

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A Permian-Triassic palynofloral transition is recorded in Borehole TP-8, Talcher Coalfield, Orissa, India. The change of palynoflora from Late Permian to Early Triassic is gradual and not abrupt. The variation in the pattern of changeover of the palynomorph distribution at P/Tr transition in Talcher Coalfield, Mahanadi Basin and Raniganj Coalfield, Damodar Basin is discussed.

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16

Swetapadma, Sonali, and C. S. P. Ojha. "Selection of a basin-scale model for flood frequency analysis in Mahanadi river basin, India." Natural Hazards 102, no. 1 (April 28, 2020): 519–52. http://dx.doi.org/10.1007/s11069-020-03936-7.

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17

Baghel, Shreeya, MP Tripathi, and Aekesh Kumar. "GIS-based hypsometric analysis of the Mand sub-basin of Mahanadi River Basin, Chhattisgarh, India." Journal of Pharmacognosy and Phytochemistry 9, no. 5 (September 1, 2020): 2289–95. http://dx.doi.org/10.22271/phyto.2020.v9.i5af.12685.

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18

Dutta, Upasana, Yogesh Kumar Singh, T. S. Murugesh Prabhu, Girishchandra Yendargaye, Rohini Gopinath Kale, Binay Kumar, Manoj Khare, Rahul Yadav, Ritesh Khattar, and Sushant Kumar Samal. "Flood Forecasting in Large River Basins Using FOSS Tool and HPC." Water 13, no. 24 (December 7, 2021): 3484. http://dx.doi.org/10.3390/w13243484.

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The Indian subcontinent is annually affected by floods that cause profound irreversible damage to crops and livelihoods. With increased incidences of floods and their related catastrophes, the design, development, and deployment of an Early Warning System for Flood Prediction (EWS-FP) for the river basins of India is needed, along with timely dissemination of flood-related information for mitigation of disaster impacts. Accurately drafted and disseminated early warnings/advisories may significantly reduce economic losses incurred due to floods. This study describes the design and development of an EWS-FP using advanced computational tools/methods, viz. HPC, remote sensing, GIS technologies, and open-source tools for the Mahanadi River Basin of India. The flood prediction is based on a robust 2D hydrodynamic model, which solves shallow water equations using the finite volume method. The model is open-source, supports geographic file formats, and is capable of simulating rainfall run-off, river routing, and tidal forcing, simultaneously. The model was tested for a part of the Mahanadi River Basin (Mahanadi Delta, 9225 sq km) with actual and predicted discharge, rainfall, and tide data. The simulated flood inundation spread and stage were compared with SAR data and CWC Observed Gauge data, respectively. The system shows good accuracy and better lead time suitable for flood forecasting in near-real-time.

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19

Samantaray, Sandeep, and Abinash Sahoo. "Estimation of flood frequency using statistical method: Mahanadi River basin, India." H2Open Journal 3, no. 1 (January 1, 2020): 189–207. http://dx.doi.org/10.2166/h2oj.2020.004.

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Abstract Estimating stream flow has a substantial financial influence, because this can be of assistance in water resources management and provides safety from scarcity of water and conceivable flood destruction. Four common statistical methods, namely, Normal, Gumbel max, Log-Pearson III (LP III), and Gen. extreme value method are employed for 10, 20, 30, 35, 40, 50, 60, 70, 75, 100, 150 years to forecast stream flow. Monthly flow data from four stations on Mahanadi River, in Eastern Central India, namely, Rampur, Sundargarh, Jondhra, and Basantpur, are used in the study. Results show that Gumbel max gives better flow discharge value than the Normal, LP III, and Gen. extreme value methods for all four gauge stations. Estimated flood values for Rampur, Sundargarh, Jondhra, and Basantpur stations are 372.361 m3/sec, 530.415 m3/sec, 2,133.888 m3/sec, and 3,836.22 m3/sec, respectively, considering Gumbel max. Goodness-of-fit tests for four statistical distribution techniques applied in the present study are also evaluated using Kolmogorov–Smirov, Anderson–Darling, Chi-squared tests at critical value 0.05 for the four proposed gauge stations. Goodness-of-fit test results show that Gen. extreme value gives best results at Rampur, Sundergarh, and Jondhra gauge stations followed by LP III, whereas LP III is the best fit for Basantpur, followed by Gen. extreme value.

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20

Mishra, SibaPrasad, and Saswat Mishra. "MONITORING ANTHROPOCENE EPOCH IN THE MAHANADI BASIN AND CHILIKA LAGOON, INDIA." International Journal of Advanced Research 5, no. 9 (September 30, 2017): 284–302. http://dx.doi.org/10.21474/ijar01/5329.

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21

Saha, Sakshi G., Ashish K. Singh, and Shakuntala Mangal. "Application of elastic impedance: A case study from Mahanadi Basin, India." Leading Edge 33, no. 11 (November 2014): 1268–76. http://dx.doi.org/10.1190/tle33111268.1.

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22

Sahoo, Abinash, Sandeep Samantaray, and Dillip K. Ghose. "Stream Flow Forecasting in Mahanadi River Basin using Artificial Neural Networks." Procedia Computer Science 157 (2019): 168–74. http://dx.doi.org/10.1016/j.procs.2019.08.154.

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23

Singh, K. J. "Plant biodiversity in the Mahanadi Basin, India, during the Gondwana period." Journal of African Earth Sciences 31, no. 1 (July 2000): 145–55. http://dx.doi.org/10.1016/s0899-5362(00)00079-8.

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24

Chakrapani, G. J., and V. Subramanian. "Preliminary studies on the geochemistry of the Mahanadi River basin, India." Chemical Geology 81, no. 3 (January 1990): 241–53. http://dx.doi.org/10.1016/0009-2541(90)90118-q.

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25

Tewari, Rajni, Naresh C. Mehrotra, K. L. Meena, and S. S. K. Pillai. "Permian megaspores from Kuraloi Area, Ib-River coalfield, Mahanadi Basin, Orissa." Journal of the Geological Society of India 74, no. 6 (December 2009): 669–78. http://dx.doi.org/10.1007/s12594-009-0183-9.

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26

Chakrapani, G. J., and V. Subramanian. "Rates of erosion and sedimentation in the Mahanadi river basin, India." Journal of Hydrology 149, no. 1-4 (August 1993): 39–48. http://dx.doi.org/10.1016/0022-1694(93)90098-t.

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27

Kumar, Pushpendra, Timothy S. Collett, Ray Boswell, James R. Cochran, Malcolm Lall, Aninda Mazumdar, Mangipudi Venkata Ramana, et al. "Geologic implications of gas hydrates in the offshore of India: Krishna–Godavari Basin, Mahanadi Basin, Andaman Sea, Kerala–Konkan Basin." Marine and Petroleum Geology 58 (December 2014): 29–98. http://dx.doi.org/10.1016/j.marpetgeo.2014.07.031.

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28

Shah, Harsh L., and Vimal Mishra. "Uncertainty and Bias in Satellite-Based Precipitation Estimates over Indian Subcontinental Basins: Implications for Real-Time Streamflow Simulation and Flood Prediction*." Journal of Hydrometeorology 17, no. 2 (February 1, 2016): 615–36. http://dx.doi.org/10.1175/jhm-d-15-0115.1.

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Abstract Real-time streamflow monitoring is essential over the Indian subcontinental river basins, as a large population is affected by floods. Moreover, streamflow monitoring helps in managing water resources in the agriculture-dominated region. In this study, the authors systematically investigated the bias and uncertainty in satellite-based precipitation products [Climate Prediction Center morphing technique (CMORPH); Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN); PERSIANN Climate Data Record (PERSIANN-CDR); and Tropical Rainfall Measuring Mission (TRMM), version 7, real-time (3B42RTV7) and gauge-adjusted (3B42V7) products] over the Indian subcontinental river basins for the period of 2000–13. Moreover, the authors evaluated the influence of bias in the satellite precipitation on real-time streamflow monitoring and flood assessment over the Mahanadi river basin. Results showed that CMORPH and PERSIANN underestimated daily mean precipitation over the majority of the subcontinental river basins. On the other hand, TRMM-3B42RTV7 overestimated daily mean precipitation over most of the river basins in the subcontinent. While gauge-adjusted products of PERSIANN (PERSIANN-CDR) and TRMM (TRMM-3B42V7) performed better than their real-time products, large biases remain in their performance to capture extreme precipitation (both frequency and magnitudes) over the subcontinental basins. Among the real-time precipitation products, TRMM-3B42RTV7 performed better than CMORPH and PERSIANN over the majority of the Indian subcontinental basins. Daily streamflow simulations using the Variable Infiltration Capacity model (VIC) for the Mahanadi river basin showed a better performance by the TRMM-3B42RTV7 product than the other real-time datasets. Moreover, daily streamflow simulations over the Mahanadi river basin showed that bias in real-time precipitation products affects the initial condition and precipitation forcing, which in turn affects flood peak timing and magnitudes.

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29

Naha, Shaini, Miguel Angel Rico-Ramirez, and Rafael Rosolem. "Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India." Hydrology and Earth System Sciences 25, no. 12 (December 16, 2021): 6339–57. http://dx.doi.org/10.5194/hess-25-6339-2021.

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Abstract. The objective of this study is to assess the impacts of land cover change on the hydrological responses of the Mahanadi river basin, a large river basin in India. Commonly, such assessments are accomplished by using distributed hydrological models in conjunction with different land use scenarios. However, these models, through their complex interactions among the model parameters to generate hydrological processes, can introduce significant uncertainties to the hydrological projections. Therefore, we seek to further understand the uncertainties associated with model parameterization in those simulated hydrological responses due to different land cover scenarios. We performed a sensitivity-guided model calibration of a physically semi-distributed model, the Variable Infiltration Capacity (VIC) model, within a Monte Carlo framework to generate behavioural models that can yield equally good or acceptable model performances for subcatchments of the Mahanadi river basin. These behavioural models are then used in conjunction with historical and future land cover scenarios from the recently released Land-Use Harmonization version 2 (LUH2) dataset to generate hydrological predictions and related uncertainties from behavioural model parameterization. The LUH2 dataset indicates a noticeable increase in the cropland (23.3 % cover) at the expense of forest (22.65 % cover) by the end of year 2100 compared to the baseline year, 2005. As a response, simulation results indicate a median percent increase in the extreme flows (defined as the 95th percentile or higher river flow magnitude) and mean annual flows in the range of 1.8 % to 11.3 % across the subcatchments. The direct conversion of forested areas to agriculture (of the order of 30 000 km2) reduces the leaf area index, which subsequently reduces the evapotranspiration (ET) and increases surface runoff. Further, the range of behavioural hydrological predictions indicated variation in the magnitudes of extreme flows simulated for the different land cover scenarios; for instance, uncertainty in scenario labelled “Far Future” ranges from 17 to 210 m3 s−1 across subcatchments. This study indicates that the recurrent flood events occurring in the Mahanadi river basin might be influenced by the changes in land use/land cover (LULC) at the catchment scale and suggests that model parameterization represents an uncertainty which should be accounted for in the land use change impact assessment.

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Kneis, D., C. Chatterjee, and R. Singh. "Evaluation of TRMM rainfall estimates over a large Indian river basin (Mahanadi)." Hydrology and Earth System Sciences 18, no. 7 (July 4, 2014): 2493–502. http://dx.doi.org/10.5194/hess-18-2493-2014.

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Abstract. The paper examines the quality of satellite-based precipitation estimates for the lower Mahanadi River basin (eastern India). The considered data sets known as 3B42 and 3B42-RT (version 7/7A) are routinely produced by the tropical rainfall measuring mission (TRMM) from passive microwave and infrared recordings. While the 3B42-RT data are disseminated in real time, the gauge-adjusted 3B42 data set is published with a delay of some months. The quality of the two products was assessed in a two-step procedure. First, the correspondence between the remotely sensed precipitation rates and rain gauge data was evaluated at the sub-basin scale. Second, the quality of the rainfall estimates was assessed by analysing their performance in the context of rainfall–runoff simulation. At sub-basin level (4000 to 16 000 km2) the satellite-based areal precipitation estimates were found to be moderately correlated with the gauge-based counterparts (R2 of 0.64–0.74 for 3B42 and 0.59–0.72 for 3B42-RT). Significant discrepancies between TRMM data and ground observations were identified at high-intensity levels. The rainfall depth derived from rain gauge data is often not reflected by the TRMM estimates (hit rate < 0.6 for ground-based intensities > 80 mm day-1). At the same time, the remotely sensed rainfall rates frequently exceed the gauge-based equivalents (false alarm ratios of 0.2–0.6). In addition, the real-time product 3B42-RT was found to suffer from a spatially consistent negative bias. Since the regionalisation of rain gauge data is potentially associated with a number of errors, the above results are subject to uncertainty. Hence, a validation against independent information, such as stream flow, was essential. In this case study, the outcome of rainfall–runoff simulation experiments was consistent with the above-mentioned findings. The best fit between observed and simulated stream flow was obtained if rain gauge data were used as model input (Nash–Sutcliffe index of 0.76–0.88 at gauges not affected by reservoir operation). This compares to the values of 0.71–0.78 for the gauge-adjusted TRMM 3B42 data and 0.65–0.77 for the 3B42-RT real-time data. Whether the 3B42-RT data are useful in the context of operational runoff prediction in spite of the identified problems remains a question for further research.

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31

Kneis, D., C. Chatterjee, and R. Singh. "Evaluation of TRMM rainfall estimates over a large Indian river basin (Mahanadi)." Hydrology and Earth System Sciences Discussions 11, no. 1 (January 23, 2014): 1169–201. http://dx.doi.org/10.5194/hessd-11-1169-2014.

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Abstract. The paper examines the quality of satellite-based precipitation estimates for the Lower Mahanadi River Basin (Eastern India). The considered data sets known as 3B42 and 3B42-RT (version 7/7A) are routinely produced by the tropical rainfall measuring mission (TRMM) from passive microwave and infrared recordings. While the 3B42-RT data are disseminated in real time, the gage-adjusted 3B42 data set is published with a delay of some months. The quality of the two products was assessed in a two-step procedure. First, the correspondence between the remotely sensed precipitation rates and rain gage data was evaluated at the sub-basin scale. Second, the quality of the rainfall estimates was assessed by analyzing their performance in the context of rainfall-runoff simulation. At sub-basin level (4000 to 16 000 km2) the satellite-based areal precipitation estimates were found to be moderately correlated with the gage-based counterparts (R2 of 0.64–0.74 for 3B42 and 0.59–0.72 for 3B42-RT). Significant discrepancies between TRMM data and ground observations were identified at high intensity levels. The rainfall depth derived from rain gage data is often not reflected by the TRMM estimates (hit rate < 0.6 for ground-based intensities > 80 mm day−1). At the same time, the remotely sensed rainfall rates frequently exceed the gage-based equivalents (false alarm ratios of 0.2–0.6). In addition, the real time product 3B42-RT was found to suffer from a spatially consistent negative bias. Since the regionalization of rain gage data is potentially associated with a number of errors, the above results are subject to uncertainty. Hence, a validation against independent information, such as stream flow, was essential. In this case study, the outcome of rainfall–runoff simulation experiments was consistent with the above-mentioned findings. The best fit between observed and simulated stream flow was obtained if rain gage data were used as model input (Nash–Sutcliffe Index of 0.76–0.88 at gages not affected by reservoir operation). This compares to the values of 0.71–0.78 for the gage-adjusted TRMM 3B42 data and 0.65–0.77 for the 3B42-RT real-time data. Whether the 3B42-RT data are useful in the context of operational runoff prediction in spite of the identified problems remains a question for further research.

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32

Panigrahi, B., Dipsika Paramjita, M. A. Giri, and J. C. Paul. "Frequency Analysis for Prediction of Maximum Flood Discharge in Mahanadi River Basin." International Journal of Current Microbiology and Applied Sciences 9, no. 8 (August 10, 2020): 3626–39. http://dx.doi.org/10.20546/ijcmas.2020.908.418.

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Nair, Akhilesh S., Kaushlendra Verma, Subhankar Karmakar, Subimal Ghosh, and J. Indu. "Exploring the potential of SWOT mission for reservoir monitoring in Mahanadi basin." Advances in Space Research 69, no. 3 (February 2022): 1481–93. http://dx.doi.org/10.1016/j.asr.2021.11.019.

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Bastia, Fakira, and Sk Md Equeenuddin. "Chemical weathering and associated CO2 consumption in the Mahanadi river basin, India." Journal of Asian Earth Sciences 174 (May 2019): 218–31. http://dx.doi.org/10.1016/j.jseaes.2018.12.010.

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Singh, Alok K. "Petrographic and geochemical characterization of coal from Talcher coalfield, Mahanadi Basin, India." Journal of the Geological Society of India 87, no. 5 (May 2016): 525–34. http://dx.doi.org/10.1007/s12594-016-0426-5.

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Rao, Pitta Govinda. "Effect of Climate Change on Streamflows in the Mahanadi River Basin, India." Water International 20, no. 4 (January 1995): 205–12. http://dx.doi.org/10.1080/02508069508686477.

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Kumar, Mithlesh, A.P. Sahu, J. C. Paul, and Lokesh Kumar Tinde. "Sensitivity analysis, Calibration and Validation of SWAT model for the Lower Mahanadi River Basin." Ecology, Environment and Conservation 29, no. 02 (2023): 744–50. http://dx.doi.org/10.53550/eec.2023.v29i02.033.

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Hydrological models are becoming a fundamental tool for natural resource planning and management; however, their application is hampered by a lack of data for calibration and validation. Therefore, the aim of this study is to calibrate and validate the SWAT model in the Lower Mahanadi River basin. The SWATCUP was used for sensitivity analysis, calibration, and validation of the model. Based on the sensitivity analysis, twelve parameters were calibrated by the SWAT-CUP. The model performance indicators (R2, NSE, and PBIAS) showed satisfactory results with 0.76, 0.78, and 6.6 during calibration and 0.79, 0.74 and 7.8 during validation, respectively

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Rajput, Preeti, and Manish Kumar Sinha. "Geospatial evaluation of drought resilience in sub-basins of Mahanadi river in India." Water Supply 20, no. 7 (August 7, 2020): 2826–44. http://dx.doi.org/10.2166/ws.2020.178.

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Abstract Development is said to be sustainable in respect of drought if the effect has been absorbed by the existing system. Occurrence of drought depends on physiographical, climatic factors and optimum utilization of available resources of the river basin. This study aims to evaluate the vulnerability and resilience of river basin systems for the identification of priority areas under drought susceptibility for three different river basins, namely Arpa, Kharun and Upper Seonath of Mahanadi river in central India, as a pilot area for this study. The study represents an approach to evaluate the drought susceptibility of river basins based on physiographical factors and anthropogenic activities. A model proposed for vulnerability assessment based on variables of exposure, sensitivity and adaptive capacity, and a geospatial database of basin characteristics contributing to vulnerability, was generated using remote sensing and a geographic information system. Multi-criteria decision analysis was done to evaluate the influence of river basin characteristics, population load and land-use/cover on drought susceptibility for assessing the drought vulnerability of the river basin and suggest the solution for the optimum utilization of natural resources according to the river basin characteristics. The result of this study demarcates the area in four categories of Extremely vulnerable, Moderately vulnerable, Vulnerable and Not vulnerable. On the analysis, only 3.86% of Upper Seonath is Not vulnerable, followed by Kharun basin having 15.59% as Not vulnerable area and 48.23% of the area of Arpa river basin identified as Not vulnerable. Arpa river basin is least affected by drought due to its lower population density and high coverage of forest and agriculture area.

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Dash, Benukantha, M. P. Tripathi, Dhiraj Khalkho, and Shruti Verma. "Trend analysis of rainfall using non-parametric method-A case study of Pairi sub-basin of Mahanadi basin." Journal of Soil and Water Conservation 22, no. 3 (2023): 275–79. http://dx.doi.org/10.5958/2455-7145.2023.00035.8.

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Jaiswal, Shashi Kant. "Simulation Of Reservoir Operation In A Multi Reservoir System." Journal of University of Shanghai for Science and Technology 23, no. 08 (August 14, 2021): 451–56. http://dx.doi.org/10.51201/jusst/21/08423.

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The present study aims to apply simulation software MIKE Basin for the operation of reservoirs of Mahanadi Reservoir Project (MRP) Complex. MRP complex is a multipurpose multi reservoir system. Simulation is a technique by which we emulate the behavior of a system. Simulation is a very powerful technique in analyzing most complex water resource system in detail for performance evaluation. Reservoir operation study has been done for data of 34 years. The results extracted from the study indicated that the performance of simulation model MIKE Basin is satisfactory.

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Kumari, Anupama, Chandrajit Balomajumder, Amit Arora, Gaurav Dixit, and Sina Rezaei Gomari. "Physio-Chemical and Mineralogical Characteristics of Gas Hydrate-Bearing Sediments of the Kerala-Konkan, Krishna-Godavari, and Mahanadi Basins." Journal of Marine Science and Engineering 9, no. 8 (July 27, 2021): 808. http://dx.doi.org/10.3390/jmse9080808.

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The characteristics of the hydrate-bearing sediments affect the formation and dissociation of gas hydrate in sediments. The mineral composition, their dispersion, and chemical composition of hydrate-bearing sediment samples plays a dominant role in the hydrate stability condition and its economic development. In this paper, the physical properties of hydrate-bearing sediment of India are compared with each other. The sediment samples are taken from the Krishan-Godavari basin (Depth—127.5 and 203.2 mbsf), Mahanadi basin (Depth—217.4 mbsf), and Kerala-Konkan basin (Depth—217.4 mbsf). The saturation of the gas hydrate observed at these sites is between 3 and 50%. Particle size is an important parameter of the sediments because it provides information on the transportation and deposition of sediment and the deposition history. In the present study, we investigated the mineralogy of hydrate-bearing sediments by chemical analysis and X-ray Diffraction. XRD, FTIR, and Raman Spectroscopy distinguished the mineralogical behavior of sediments. Quartz is the main mineral (66.8% approx.) observed in the gas hydrate-bearing sediments. The specific surface area was higher for the sediment sample from the Mahanadi basin, representing the sediments’ dissipation degree. This characterization will give important information for the possible recovery of gas from Indian hydrate reservoirs by controlling the behavior of host sediment. SEM analysis shows the morphology of the sediments, which can affect the mechanical properties of the hydrate-bearing sediments. These properties can become the main parameters to consider for the design of suitable and economic dissociation techniques for gas hydrates formed in sediments.

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Vaggela, Asha, Harikrishna Sanapala, and Jagannadha Rao Mokka. "Monitoring Land Use and Land Cover Changes Prospects Using Remote Sensing and GIS for Mahanadi River Delta, Orissa, India." Geoplanning: Journal of Geomatics and Planning 9, no. 1 (November 15, 2022): 47–60. http://dx.doi.org/10.14710/geoplanning.9.1.47-60.

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Natural landscapes have altered dramatically via anthropogenic activity, particularly in places that are heavily influenced by climate change and population increase, such as nation like India. It is crucial for sustainable development, particularly effective water management methods, to know about the influence of land use and land cover (LULC) changes. Geographic information systems (GIS) and remote sensing (RS) were employed for monitoring land use changes utilising quantum ArcGIS and ERDAS Imagine were done for prediction of LULC changes. This research studied the variations in LULC in the Mahanadi river basin delta, Orissa for the years 2010, 2015, and 2020. Landsat satellite pictures were employed to track the land use changes. For the categorization of Landsat images, maximum- likelihood supervised classification was applied. The broad categorization identifies four basic groups in the research region, including (i) waterbodies, (ii) agriculture fields (iii) forests (iv) barren lands (v) built-up areas, and (vi) aquaculture. The findings indicated a big growth in forests from the year 2010 to 2020, but a substantial increase in barren lands had happened by the year 2020, while built-up lands use has witnessed a quick climb. The kappa coefficient was used to measure the validity of identified photos, with an overall kappa coefficient of 0.82, 0.84, and 0.90 for the years 2010, 2015, and 2020, respectively. However, a large drop will occur in agriculture fields in the predicted years. The study effectively demonstrates LULC alterations showing substantial pattern of land use change in the Mahanadi delta. This information might be valuable for land use management and future planning in the region

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Gurkanlar, Doga, and Sevda Lafcı Fahrioglu. "MICROSURGICAL CLIPPING OF A PREVIOUSLY COILED ANTERIOR COMMUNICATING ARTERY ANEURYSM OF MAHANADI BASIN." Journal of Bio Innovation 10, no. 1 (February 15, 2021): 239–50. http://dx.doi.org/10.46344/jbino.2021.v010i01.19.

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Das, Abhijeet. "Multivariate statistical approach for the assessment of water quality of Mahanadi basin, Odisha." Materials Today: Proceedings 65 (2022): A1—A11. http://dx.doi.org/10.1016/j.matpr.2022.08.146.

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Janhabi, Meher, and Jha Ramakar. "Time-series analysis of monthly rainfall data for the Mahanadi River Basin, India." Sciences in Cold and Arid Regions 5, no. 1 (2013): 73. http://dx.doi.org/10.3724/sp.j.1226.2013.00073.

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46

Chakrapani, G. J., and V. Subramanian. "Heavy metals distribution and fractionation in sediments of the Mahanadi River basin, India." Environmental Geology 22, no. 1 (September 1993): 80–87. http://dx.doi.org/10.1007/bf00775288.

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Singh, R. M., and C. S. Dwivedi. "A study of coal facies in the Korba sub-basin, Mahanadi Valley, India." International Journal of Coal Geology 25, no. 2 (February 1994): 113–32. http://dx.doi.org/10.1016/0166-5162(94)90023-x.

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48

Parhi, Prabeer Kumar. "Flood Management in Mahanadi Basin using HEC-RAS and Gumbel’s Extreme Value Distribution." Journal of The Institution of Engineers (India): Series A 99, no. 4 (June 21, 2018): 751–55. http://dx.doi.org/10.1007/s40030-018-0317-4.

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49

Naik, A. S., M. P. Singh, N. Volkmann, P. K. Singh, D. Mohanty, and D. Kumar. "Petrographic characteristics and paleomires of Mand-Raigarh coals, Mahanadi Gondwana Basin, Chhattisgarh, India." International Journal of Coal Science & Technology 3, no. 2 (June 2016): 165–83. http://dx.doi.org/10.1007/s40789-016-0140-3.

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50

Panda, Dileep K., A. Kumar, S. Ghosh, and R. K. Mohanty. "Streamflow trends in the Mahanadi River basin (India): Linkages to tropical climate variability." Journal of Hydrology 495 (July 2013): 135–49. http://dx.doi.org/10.1016/j.jhydrol.2013.04.054.

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