Geospatial modeling for assessing the nutrient load of a Himalayan lake |
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Authors: | Shakil Ahmad Romshoo Mohammad Muslim |
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Institution: | (1) Department of Geology and Geophysics, University of Kashmir, Hazratbal, Srinagar, 190006, Kashmir, India |
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Abstract: | This research makes use of the remote sensing, simulation modeling and field observations to assess the non-point source pollution
load of a Himalayan lake from its catchment. The lake catchment, spread over an area of about 11 km2, is covered by different land cover types including wasteland (36%), rocky outcrops (30%), agriculture (12%), plantation
(12.2%), horticulture (6.2%) and built-up (3.1%) The GIS-based distributed modeling approach employed relied on the use of
geospatial data sets for simulating runoff, sediment, and nutrient (N and P) loadings from a watershed, given variable-size
source areas, on a continuous basis using daily time steps for weather data and water balance calculations. The model simulations
showed that the highest amount of nutrient loadings are observed during wet season in the month of March (905.65 kg of dissolved
N, 10 kg of dissolved P, 10,386.81 kg of total N and 2,381.89 kg of total P). During the wet season, the runoff being the
highest, almost all the excess soil nutrients that are trapped in the soil are easily flushed out and thus contribute to higher
nutrient loading into the lake during this time period. The 11-year simulations (1994–2004) showed that the main source areas
of nutrient pollution are agriculture lands and wastelands. On an average basis, the source areas generated about 3,969.66 kg/year
of total nitrogen and 817.25 kg/year of total phosphorous. Nash–Sutcliffe coefficients of correlation between the daily observed
and predicted nutrient load ranged in value from 0.80 to 0.91 for both nitrogen and phosphorus. |
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