Abstract.The availability of erratic rainfall and high evapotranspiration causes temporal and spatial variability of water thereby causing crop yield reduction and crop failure. The potential of water harvesting (WH) both groundwater as well as surface water to mitigate the spatial and temporal variability of precipitation. One technique for water harvesting (WH) is to collect excess runoff water both rain and snowmelt, store it for agricultural purposes during dry spells. The present work accentuated the expediency of remote sensing (RS) and geographic information system (GIS) applications in water harvesting studies. The resultant water harvesting potential map prepared was thus classified into three WH potential zones namely, high, medium and low covering an area of 32.82, 10320.10, and 7596.18 ha (<1%, 57.49%, and 42.32%) respectively. The groundwater map in the area was also classified as high potential areas covering 1421.69 ha (7.92%), medium potential areas covering 8762.69 ha (48.81%), and low potential areas covering 7764.72 ha (43.25%). The integrated remote sensing (RS), Geographical Information System (GIS), Soil and Water Assessment Tool (SWAT), and analytical hierarchy process (AHP) were found to be efficient methods to recover water and to select suitable water and groundwater harvesting sites in order to ensure better water accessibility to the people for domestic, irrigation and other activities in cold arid regions of northwestern Himalayas. Keywords: Analytical hierarchy process, Geographic Information System, Groundwater harvesting, Remote sensing, Spatial variability, Temporal variability, Water harvesting.
The present study aimed at modeling the impacts of climate change on precipitation and temperature and its trend in the context of changing climate in cold arid regions of north western Himalayas using multiple linear regression (MLR) model. The study was carried out in three different time slices viz., near future (2017-2045), mid future (2046-2072) and far future (2073-2099). The study includes the calibration of the observed climate data (maximum temperature, minimum temperature and precipitation) for fourteen years (2002-2015) and the outputs of downscaled scenario A2 of the Global Climate Model (GCM) data of Hadley Centre Coupled Model, (HadCM3) was used for validation, for the future. Daily climate (maximum temperature, minimum temperature and precipitation) scenarios were generated from 1961 to 2099 under A2 defined by Intergovernmental Panel on Climate Change (IPCC). During calibration, the maximum temperature, minimum temperature and precipitation showed decreasing trend. During validation, the maximum temperature showed an increasing trend in near future (2017- 2045) and decreasing trend in mid (2046-2072) and far future (2073-2099). While as, the minimum temperature and precipitation showed an increasing trend and decreasing trend respectively, in three futuristic phases. After validation, on comparison with the measured data, the variation in maximum temperature was found -2.59 oC in near future, -3.17 oC in mid future and -3.41 oC in far future. Similarly, for minimum temperature and precipitation, the variations with observed data were found 0.91 oC and -32.2 mm, respectively in near future, 2.01 oC and -34.6 mm, respectively in mid future, 4.08 oC and -3.4 mm, respectively in far future. These changes may be found due to global warming which lead to decrease in average annual precipitation and increase in average minimum temperatures causing the melting of glaciers.
The present study was carried out to compare percolation losses of soil treated with Guar gum and Carboxymethylcellulose (CMC) polymer at different concentrations with untreated soil under laboratory conditions. These polymers are water soluble, physiologically inert, biodegradable, economical, do not produce any harmful effect when applied to the soil, and easily available materials were applied in four different concentrations i.e., 0.01%, 0.025%, 0.05% and 0.1% separately by weight of water to the soil columns in four mild steel cylinders supported by iron frame. The cylinders have approximately 60 cm depth, 30 cm diameter and 16 gauge thickness having conical bottom with opening. These cylinders were placed vertically on a platform supported with frames made of Engle iron, and measuring conical flasks were kept just below the small hallow rod at bottom of each cylinder to collect the percolated water. The data was collected for control and polymer treated soils in different concentrated solution of polymers applied in the soil column after 24 hours. The readings were noted after every 15 minutes just after pouring the water in each cylinder. The recorded observations indicated in general, that polymer treatment to the soils resulted in reduced percolation loss. The efficacy of polymer treatment to reduce percolation loss in soil were found to be better at higher concentration.
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