Browsing by Advisor "Nagesh Kumar, D"
Now showing items 1-15 of 15
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Detection of Trends in Rainfall of Homogeneous Regions and Hydro-Climatic Variables of Tapi Basin with their Attribution
(2018-07-14)In the present work, methodology of statistical analysis of change evolved by Kundzewicz and Robson (204) is revised to obtain a robust methodology named as “Comprehensive Aproach” which addresses research gaps of earlier ... -
Estimation of Daily Actual Evapotranspiration using Microwave and Optical Vegetation Indices for Clear and Cloudy Sky Conditions
(2018-05-25)Evapotranspiration (ET) is a significant hydrological process. It can be studied and estimated using remote sensing based methods at multiple spatial and temporal scales. Most commonly and widely used remote sensing based ... -
Evaluation Frameworks for Informed Multi-Site Multi-Variate Hydrological Assessment
The process of choosing a suitable hydrological model, calibrating it, and evaluating its performance poses intricate challenges for a modeler. The process of model selection is frequently influenced by the modeller's ... -
Exploring Hydrological Processes, Modeling Decisions, and Deep Learning for Improved Hydrologic Assessment
Hydrological modeling is complicated by the intricate challenges and uncertainties associated with understanding hydrological processes. This thesis aims at answering some of the key research questions related to ... -
GRACE-based Assessment of Climatic Controls on Hydrological Variables
Anthropogenic climate change is now well-established and is expected to have serious implications on Terrestrial Hydrologic cycle. This inspired scientific investigation to assess the impact of various climatic processes ... -
A Hydroclimatological Change Detection and Attribution Study over India using CMIP5 Models
(2017-11-14)As a result of increase in global average surface temperature, abnormalities in different hydroclimatic components such as evapotranspiration, stream flow and precipitation have been experienced. So investigation has to ... -
Hydroclimatological Modeling Using Data Mining And Chaos Theory
(2013-09-03)The land–atmosphere interactions and the coupling between climate and land surface hydrological processes are gaining interest in the recent past. The increased knowledge in hydro climatology and the global hydrological ... -
Hyperspectral Remote Sensing for Land Cover Classification and Chlorophyll Content Estimation using Advanced Machine Learning Techniques
In the recent years, remote sensing data or images have great potential for continuous spatial and temporal monitoring of Earth surface features. In case of optical remote sensing, hyperspectral (HS) data contains abundant ... -
Hyperspectral remote sensing for soil property estimation in the context of spectral mixtures
The implementation of sustainable agricultural, hydrological, and environmental management entails an improved understanding of soil properties and its conditions at increasingly finer resolutions. In this context, the ... -
Impact Of Large-Scale Coupled Atmospheric-Oceanic Circulation On Hydrologic Variability And Uncertainty Through Hydroclimatic Teleconnection
(2010-06-14)In the recent scenario of climate change, the natural variability and uncertainty associated with the hydrologic variables is of great concern to the community. This thesis opens up a new area of multi-disciplinary research. ... -
Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models
(2018-04-06)The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events ... -
Retrieval of Land Surface Variables using Microwave Remote Sensing
Microwave remote sensing of the land surface processes has advantages over optical remote sensing such as least attenuation due to the atmosphere, and high temporal resolution among others. Soil moisture is an important ... -
Seasonal Isotopic Variability and Major Ion Chemistry of the Cauvery River Basin, Peninsular India
Surface water and groundwater interactions are inherently complex because they occur across a range of spatial and temporal scales. This thesis envisages to improve our understanding of surface water and groundwater in ... -
Swarm Intelligence And Evolutionary Computation For Single And Multiobjective Optimization In Water Resource Systems
(2008-10-03)Most of the real world problems in water resources involve nonlinear formulations in their solution construction. Obtaining optimal solutions for large scale nonlinear optimization problems is always a challenging task. ... -
Uncertainty Analysis of Microwave Based Rainfall Estimates over a River Basin Using TRMM Orbital Data Products
(2018-01-11)Error characteristics associated with satellite-derived precipitation products are important for atmospheric and hydrological model data assimilation, forecasting, and climate diagnostic applications. This information also ...