Land Transfers and Peasant Mobility

It is hoped that the present study by analysing the dynamics of agrarian change and peasant mobility may contribute to the on-going debate on this issue in India and other developing countries. It may also help to throw light on the validity of some of the theories formulated on the basis of experience in different regions and at different times. The study is likely to be of special importance as it covers an area which has one of the highest densities of population. The area has also witnessed sweeping changes in agrarian structure as a result of the most radical land reforms among the Indian states.

Bioremediation of petroleum sludge through Phytoremediation.Land farming and Microbial enhanced oil separation

The objective of this research is to study the feasibility of bioremediating the oily sludge from a refinery site. Three different methods of waste treatment were tried i.e. phytoremediation, land farming and microbial enhanced oil separation in laboratory scale treatment systems. A multiprocess approach by combination of phytoremediation, biostimulation and microbial enhanced oil separation is also presented. The methods of analysis, experimental procedure, and results are incorporated into five chapters of this thesis entitled "Bioremediation of petroleum sludge through phytoremediation, land farming and microbial enhanced oil separation.

Rural Transformation in Kerala

This study is an attempt to present an integrated picture of the economic changes that have taken place in the rural economy of Kerala. Its limited purpose is to draw the attention of researchers and policymakers to an important but neglected dimension in rural analysis and planning.The thesis aims to identify changes in income, employment-and population. and analyses the structural change in land ownership and other assets of the rural population. The thesis also studies the changes in agriculture, especially with reference to land use and cropping pattern and examines the extend of rural indebtedness. These aspects are studied with reference to three Panchayats - Thazhava, Pananchery, Muttil – which are taken as case studies.

Studies on rainfall variability and the influence of orography and land use on the climate of Peninsular India

The present study helped to understand the trend in rainfall patterns at smaller spatial scales and the large regional differences in the variability of rainfall. The effect of land use and orography on the diurnal variability is also understood. But a better understanding on the long term variation in rainfall is possible by using a longer dataset,which may provide insight into the rainfall variation over country during the past century. The basic mechanism behind the interannual rainfall variability would be possible with numerical studies using coupled Ocean-Atmosphere models. The regional difference in the active-break conditions points to the significance of regional studies than considering India as a single unit. The underlying dynamics of diurnal variability need to be studied by making use of a high resolution model as the present study could not simulate the local onshore circulation. Also the land use modification in this study, selected a region, which is surrounded by crop land. This implies the high possibility for the conversion of the remaining region to agricultural land. Therefore the study is useful than considering idealized conditions, but the adverse effect of irrigated crop is more than non-irrigated crop. Therefore, such studies would help to understand the climate changes occurred in the recent period. The large accumulation of rainfall between 300-600 m height of western Ghats has been found but the reason behind this need to be studied, which is possible by utilizing datasets that would better represent the orography and landuse over the region in high resolution model. Similarly a detailed analysis is needed to clearly identify the causative relations of the predictors identified with the predictant and the physical reasons behind them. New approaches that include nonlinear relationships and dynamical variables from model simulations can be included in the existing statistical models to improve the skill of the models. Also the statistical models for the forecasts of monsoon have to be continually updated.