http://localhost:8081/jspui/handle/123456789/18884 Sun, 12 Apr 2026 23:06:07 GMT 2026-04-12T23:06:07Z http://localhost:8081/jspui/handle/123456789/19057 Title: DAM BREACH ANALYSIS OF UMIAM EARTHEN DAM USING HEC-RAS Authors: Nongbet, Amrita Abstract: The Analysis of dam breaches using the Hydraulic Engineering Center's River Analysis System (HEC-RAS) is crucial in assessing the safety of dams and developing effective emergency response strategies. This study explores the utilization of HEC-RAS, a widely employed water flow modelling program, to understand the potential outcomes of a dam breach and its subsequent consequences. Through the simulation of dam breach scenarios and the estimation of flood wave characteristics, HEC-RAS assists in assessing the severity of a dam breach, studying the downstream propagation of floods, and devising effective measures to prevent their occurrence. Providing an overview of the significance of HEC-RAS in enhancing dam safety and safeguarding lives, properties, and ecosystems during dam breach incidents, this abstract emphasizes the importance of preparing an emergency action plan (EAP). Consequently, conducting a dam breach analysis becomes imperative to identify the critical discharge threshold that could potentially lead to the dam's failure in such an event. In this study, the dam breach analysis of the Umiam Earthen Dam in Meghalaya's Ri-Bhoi district utilises a two-dimensional (2D) hydraulic model known as the HEC-RA to improve the accuracy and reliability of hydraulic models when simulating a dam breach scenario and creating flood potential inundation maps., the study incorporates a digital elevation model (DEM) extracted with 30 m resolution from the Shuttle Radar Topography Mission (SRTM) for generating the geometry data and a Geographic Information System (GIS). The probable maximum flood (PMF) uses as reservoir inflow; the reservoir routing using modified Pul’s method was carried out in the Hydraulic Engineering Center's Hydrologic Modeling System (HEC-HMS) model to determine the outflow; the results show the comparison of the inflow and outflow hydrographs. The HEC-RAS model simulates dam breach parameters such as breach width, breach formation failure time, and breach side slope determined from distinct empirical methods. The outflow characteristics, such as maximum water surface elevation, maximum velocity, maximum depth, and minimum travel time, are predicted using the HEC-RAS two-dimensional (2D) model obtained from four distinct empirical methods. A comparison makes between the obtained results. The flood inundation maps prepare using Froehlich’s equation for piping failure for the downstream affected villages using the maximum water levels generated by the dam breach model. As a result of piping failure, the downstream area directly below the dam encounters a peak flow of 3471.36 m3/s, leading to an inundation area of 110 km2 before reaching the Assam border. Thu, 01 Jun 2023 00:00:00 GMT http://localhost:8081/jspui/handle/123456789/19057 2023-06-01T00:00:00Z http://localhost:8081/jspui/handle/123456789/18907 Title: SAFEGUARDING HYDRAULIC STRUCTURES USING MACHINE LEARNING Authors: Bhasin, Varun Abstract: Across the globe, dams are constructed and monitored for the safety of livelihood associated with them and for the purpose they serve. The main purpose of this study is to introduce emergency preparedness for safeguarding hydraulic structures and preventing potential disasters. In the growing world as technologies are advancing, so to use of the concept of machine learning in the field of dam will help to make the studies faster and more accurate. Machine learning-based water level prediction can play a significant role in enhancing the monitoring and management of water levels, allowing authorities to take proactive measures to mitigate risks. Various techniques of deep learning have been taken into account like boosting and bagging using standard algorithms such as Random Forest, Decision Tree, Support Vector Machine, Boosted Regression trees, and long short-term memory (deep learning) models with consideration parameters like precipitation, evaporation, sent out, and inflow. However, in times of emergency, responsibility lies on the dam owner, to make a faster decision-making process, forecasting of water affluence becomes a key responsibility for managing dams and other hydraulic structures. Since early warning systems become most important in flood-prone areas and for the safety of livelihood residing downstream of dams. Therefore, by considering the output from the study, will help authorities to easily vacate the flood-prone areas downstream and for the lives residing around the catchment of the dam’s reservoir. Moreover, from the study, it has been found that the Long Short-term memory-based model gives convincing results compared with other algorithms coefficient of determination of 0.93. Wed, 01 May 2024 00:00:00 GMT http://localhost:8081/jspui/handle/123456789/18907 2024-05-01T00:00:00Z http://localhost:8081/jspui/handle/123456789/18906 Title: GUIDELINES FOR THE DEVELOPMENT OF SUSTAINABLE TOURISM AROUND LARGE DAMS IN INDIA Authors: Bollam, Ajay Kumar Abstract: India is a country with rich natural and cultural resources, which offers vast opportunities for the development of tourism. Tourism is one of India's fastest-growing sectors, contributing 9.2% of the GDP in 2018; however, due to COVID-19, the tourism sector dropped to 4.2% of the GDP in 2020, and it started rising rapidly in 2022. Tourism also plays a crucial role in developing the country's socio-economic conditions, as it generates huge employment, increases the living conditions of the tourism host community, and starts business opportunities for the local community. To harness this potential, the Indian government and private sector have been investing in infrastructure, promoting cultural festivals, and launching various campaigns to attract both domestic and international tourists. Technological advancements and improved connectivity have further facilitated the growth of tourism, making even remote areas accessible to travellers. Tourism around the dams is one of the upcoming forms of tourism in India. Dams are large structures constructed for various purposes like irrigation, generation of hydropower, controlling floods, and water supply. The construction of Dams creates reservoirs that can offer scenic views and recreational opportunities. Dams can attract tourists for photoshoots, fishing, boating, camping and adventure activities. However, tourism around dams must be managed carefully to ensure it does not negatively impact the environment or local communities. The development of eco-friendly infrastructure, promotion of local culture and heritage, and community involvement in tourism activities are essential components of sustainable tourism development. Tourism around the dams can also have adverse effects like resettlement, loss of livelihood, loss of identity, and loss of heritage. If there are no proper guidelines for developing sustainable tourism, there may be a chance of conflicts among the various stakeholders, such as the dam authorities, the tourism operators, the local communities, the tourists and the environmentalists. Therefore, there is a need for developing guidelines for sustainable tourism around large dams in India. Wed, 01 May 2024 00:00:00 GMT http://localhost:8081/jspui/handle/123456789/18906 2024-05-01T00:00:00Z http://localhost:8081/jspui/handle/123456789/18905 Title: EFFECT OF DRAWDOWN ON TEHRI RESERVOIR RIM STABILITY AND APPLICATION OF GEO-REINFORCED SOIL STRUCTURE Authors: Kumar, Amit Abstract: Tehri dam in Uttarakhand, India is a 260.5m high earth and rock fill dam. It is located on river Bhagirathi at nearly 1.5km downstream of the confluence of Bhilangana and Bhagirathi. A reservoir was created in the upstream valley as a result of the dam's construction and it’s creating a dead storage of 925 Mm3 and live storage of 2,615 Mm3 water, making a total storage capacity of 3,540 Mm3. During drawdown circumstances, the reservoir water oscillates between the dead storage level (DSL) and the maximum reservoir level (MRL). The valley slopes below the water level in the reservoir periphery are submerged when the water level reaches MRL. Although the weight of the rocks decreases, the lateral force of the standing water prevents the slope's inclination to slide. Significant drawdowns result in an increase in the slope material's weight just above the water line and a decrease in shear strength, which leads to optimal conditions for slope instability. This research uses the Slope/W and Seep/W models at several sites in the Tehri reservoir rim at varying water levels to verify the slope stability using GIS software. Each analysis has been performed with actual slope profile surrounding the reservoir. Two geo reinforcement models i.e. soil nails and concrete structures have been analyzed to enhance the stability of slope by using Geo-Studio software. A comparison of results of all the techniques is carried out to find the most effective technique to enhance the slope stability. Wed, 01 May 2024 00:00:00 GMT http://localhost:8081/jspui/handle/123456789/18905 2024-05-01T00:00:00Z