http://localhost:8081/jspui/handle/123456789/118 2026-05-07T20:58:13Z http://localhost:8081/jspui/handle/123456789/20592 Title: Impact of Climate Change on combined Flood and Drought events in India Authors: Salvadi, Chetan Kumar Abstract: Droughts and floods usually occur in all parts of the world. Several studies published previously have reported that climate change may exaggerate the severity and frequency of floods and droughts in different parts of the world. However, it is still unclear if the frequency of the co-occurrence of droughts and floods is being affected in the long term or not. Therefore, we analysed the changing characteristics of co occurrence of floods and droughts in India to understand “whether the co-occurrence of floods and droughts is increasing due to climate change?”. A copula-based joint probability-based approach is considered for analysing the changing nature of joint probabilities of compound drought-flood events in the same year. Also, we used the Standardised Weighted Average of Precipitation (SWAP) index to identify the drought and the flood events. We used gridded rainfall data of India Metrological Department at a 0.25-degree grid. This study revealed that the maximum number of grid points show an increase in monthly SWAP values in summer; however, the maximum number of grid points show a decrease in monthly SWAP values in all other seasons. However, in winter, the maximum number of grid points show a reduction in monthly SWAP values. The drought and flood analysis revealed that more grid points show decreasing value for both flood and drought return period corresponding to 5-year, 10-year, 25-year when each period is compared with its preceding period. This observation indicates an increase in the frequency of flood and drought in the succeeding periods. We have noticed more grid points showed considerable change in the drought return period. But fewer grid points showed a substantial shift in flood return periods. We also found an increase in the frequency of less intensity flood events in many parts of India when compared to high-intensity flood events. This analysis demonstrates an increase in the frequency of combined flood and drought events in the same year throughout India in the last three decades. 2021-01-01T00:00:00Z http://localhost:8081/jspui/handle/123456789/20540 Title: IRRIGATION SCHEDULING AND CROP OPTIMIZATION ON JAMUNA FLOW IRRIGATION SCHEME, HOJAI, ASSAM Authors: Baruah, Papori 2024-05-01T00:00:00Z http://localhost:8081/jspui/handle/123456789/20539 Title: Blue and Green Water Availability in the Upper Hemavathi Basin Authors: Navya, Kasoju 2024-05-01T00:00:00Z http://localhost:8081/jspui/handle/123456789/20363 Title: SPATIOTEMPORAL ANALYSIS OF SOIL MOISTURE AND PRECIPITATION DEPENDENCE OVER INDIA AND EUROPE Authors: J, Ashish Manoj Abstract: Anthropogenic climate change has impacted almost all phases of the global water cycle. Growing consensus asserts that extreme precipitation events will only rise in the years to come. However, an increase in extreme precipitation events does not necessarily correspond to higher flood risk. Much onus lies on the antecedent conditions before the storm events. Despite the importance of Soil Moisture (SM) – Precipitation (P) dependence in runoff generation, relatively few studies have unraveled the SM – P dependence. Previous studies were constrained by the direct trivial relationship existing between SM and P, and hence there is a need to understand direction and dynamical interdependency. We employed Event Coincidence Analysis (ECA) to identify and quantify the preconditioning of P extremes by soil moisture (SM) anomalies. In this work, we first disentangled the SM-P dependence patterns for the major river basins of India. High precursor coincidence rate (>45%) was obtained for traditional flash flood-prone areas over India - Ganga river basin, West-flowing rivers of Kutch and Saurashtra including Luni, inland drainage of Rajasthan and Narmada river basin, indicating the robustness of the approach. The trigger coincidence rate reveals strong SM-P coupling over central India. Our results indicate the applicability of ECA in characterizing the spatiotemporal patterns of SM-P dependence over India. The SM-P covariation relationships are established for the major climatic regions covering Europe in the second part of the thesis work. Our results indicate strong seasonal variations in such SM-P preconditioning over Europe. A significant shift in the magnitude and spatial extent of SM-P coupling is seen within the seasons for the various regions. In winter, strong coincidence is seen in western and central Europe, and the coincidence weakens in summer. We further used the timings of annual maximum discharge (Peak flood values) at a catchment scale from a European flood database to investigate how the seasonal and spatial variations in the timings of floods could be interpreted from the SM-P preconditioning perspective. Our results will strengthen existing flood risk assessment initiatives while providing new avenues and implications for a better understanding and proper representation of preconditioned compound flooding events worldwide. 2022-04-01T00:00:00Z