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Employing sensitivity analysis to catchments having scanty data. | LitMetric

Employing sensitivity analysis to catchments having scanty data.

Environ Sci Pollut Res Int

Department of Civil Engineering, National Institute of Technology Srinagar, Srinagar, Jammu And Kashmir, 190006, India.

Published: September 2022

AI Article Synopsis

Article Abstract

Sensitivity analysis (SA) is generally desirable for parameter optimization, mapping, and calibration in hydrological models, yet the implementation of SA in data-sparse regions is usually avoided due to a lack of continuous data. The present study proposes the novel concept of "minimum continuous data period" to overcome this constraint. It analyses the sensitivity profile of two data-suffice sub-catchments of a data-sparse watershed using data at various timescales to determine the minimum data period required for the SA. The results suggest that the SA employing a minimum data period (2 years in this study) replicated the actual sensitivity profile by an average of 77.5% while replicating the most sensitive and insensitive parameters by 100%. The study encourages the use of the data from sub-catchments to determine the sensitivity profile of the data-sparse catchment. It would benefit in improving the use of SA for rainfall-runoff modelling in data-scanty regions.

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Source
http://dx.doi.org/10.1007/s11356-022-20514-5DOI Listing

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