Land and water resources planning and management of Bijnor district using remote sensing and GIS
Loading...
Date
2005-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
The rapid expansion of population, agriculture and industry in recent years, throughout the country, has brought about a steep increase in water demand. All these requirements have to be met mostly from available surface and groundwater resources. The water resources which looked plentiful at one time have become scare with the increasing demand on the available supplies. Situation turned grim in Bijnor district of Uttar Pradesh where in some blocks withdrawal rate of groundwater is beyond the limits of recharge capacities. The area has no sharp topography and consists of alluvial soil. Groundwater abstraction structures were made abruptly along with the prevailing cropping pattern. The present investigation was, therefore, undertaken to study the prevailing land use pattern, ground water behaviour and to suggest appropriate recharge techniques suited to this condition with the help of Remote Sensing and G.I.S.
Keeping this in view, soils of Bijnor district were classified according to land capability, land irrigability and land suitability to suggest alternative cropping pattern for the district to commensurate with the present situation. Groundwater inventory for the years 1990 and 2002 revealed that in 1990, out of eleven blocks only in Noorpur block groundwater exploitation level was between 65% to 85%. But in 2002, in two blocks groundwater exploitation level was above 85% and in four blocks it was between 65% to 85%. To predict the future groundwater table depth, six simulation models were developed for the area. Model 6 gave significantly better results correlating the discharge
and recharge parameters in a better way. Remote Sensing and G.I.S. were applied to delineate different landforms from the Satellite imageries (IRS-1D LISS-III). The landforms were correlated with identified soil associations and water table decline contours of pre-monsoon season. Suitable groundwater recharge plans have been suggested, considering the geomorphic features, to keep the groundwater level within safe and desired limit in future.
Description
Keywords
null