Geoinformatics Technology Application in North Karnataka for Water Resources Management.

Autor: Hutti, Basavaraj, Nijagunappa, R.
Předmět:
Zdroj: Universal Journal of Environmental Research & Technology; Oct2011, Vol. 1 Issue 3, p222-232, 11p
Abstrakt: Karnataka is in dearth of water resources, especially in its arid and semi-arid regions. So the management of water resources in these areas is very important. The annual average rainfall of 50 cm for the whole country and its totality area, it has been discovered that total water resources in India are of the order of 167 million hectare-meters. It has further been calculated that only 66 million hectare-meters of water resources in India can be employed for irrigation. The population of India as on 2011 stood at 1,210,193,422 (1.21 billion) persons. Thus, India supports about 1/6th of world population, 1/50th of world's land and 1/25th of world's water resources. India also has a livestock population of 500 million, which is about 20 percent of the world's total livestock population. More than half of these are cattle, forming the backbone of Indian agriculture. The total utilizable water resources of the country are assessed as 1086 km³. Geoinformatics technology has its special advantage in this aspect. The paper introduces the applications of Geoinformatics, including remote sensing, geographical information system and global positioning system, in this field, such as surface water resources, groundwater exploration, dynamic monitoring of floods, water environment and drought monitoring, planning of water diversion project between basins and so on. It shows that Geoinformatics technology can play important role for North Karnataka development, especially in India. India is still an agricultural country; with the advent of powerful and high-speed personal computers, efficient techniques for water resource management have evolved, of which Geoinformatics technology includes RS (Remote Sensing), GIS (Geographic Information System) and GPS (Global Positioning System) are of great significance. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index