Remote Sensing and Geographic Information System has become one of the leading tools in the field of hydrogeological science,
which helps in assessing, monitoring and conserving groundwater resources. It allows manipulation and analysis of individual
layer of spatial data. It is used for analysing and modelling the interrelationship between the layers. This paper mainly
deals with the integrated approach of Remote Sensing and geographical information system (GIS) to delineate groundwater potential
zones in hard rock terrain. The remotely sensed data at the scale of 1:50,000 and topographical information from available
maps, have been used for the preparation of ground water prospective map by integrating geology, geomorphology, slope, drainage-density
and lineaments map of the study area. Further, the data on yield of aquifer, as observed from existing bore wells in the area,
has been used to validate the groundwater potential map. The final result depicts the favourable prospective zones in the
study area and can be helpful in better planning and management of groundwater resources especially in hard rock terrains. 相似文献
A methodology for improving geopotential models has been developed. Theoretical relations have been derived converting coefficients in harmonic expansions for radial distortions due to geopotential models into geopotential Stokes coefficients. Terms of the order of 10–10in magnitude have been retained.相似文献
Agriculture is responsible for the bulk of Ireland’s greenhouse gas (GHG) emissions. However, the potential to mitigate some of these emissions through the adoption of more efficient farm management practices may be hampered by farmers’ awareness and attitude towards climate change and agriculture’s role in contributing to GHG emissions. This paper presents results from a survey of 746 Irish farmers in 2014, with a view to understanding farmers’ awareness of, and attitudes to, climate change and GHG emissions. Survey results show that there was a general uncertainty towards a number of questions related to agricultural GHG emissions, e.g. if tilling of land causes GHG emissions, and that farmers were reluctant to take action to reduce GHG emissions on their farm. To further explore farmers’ attitudes towards climate change, a multinomial logit model was used to examine the socio-economic factors that affect farmers’ willingness to adopt an advisory tool that would show the potential reduction in GHG emissions from the adoption of new technologies. Results show that farmers’ awareness of human-induced global climate change was positively related to the tool’s adoption.
Key policy insights
Irish farmers are generally not sufficiently aware of the impact of their activities on climate change.
A quarter of farmers believed that climate change will only impact on their business in the long-term; such an attitude may lead to a reluctance amongst these farmers to adopt management practices that reduce GHG emissions.
Awareness of climate change affects positively the adoption of new tools to reduce GHG emissions on farmers’ farms.
IT literacy affects willingness to adopt new tools to address GHG emissions.
Reception of agri-environmental advice can have a positive influence on farmers’ willingness to adopt new GHG emission abatement tools.
Farmers in receipt of environmental subsidies are more likely to adopt new abatement tools, either because they are more environmentally conscious or because the subsidy raised their environmentally consciousness.
Willingness to adopt differs between different farm enterprises; operating dairy enterprise increases the willingness to adopt new advisory mitigation tools.