Comparative Study of Inverse Power of IDW Interpolation Method in Inherent Error Analysis of Aspect Variable

Bhargava, Neeraj; Bhargava, Ritu; Tanwar, Prakash Singh; Narooka, Prafull Chandra

doi:10.1007/978-981-10-3920-1_52

Cited by 3 publications

(2 citation statements)

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“…The EPIC Model is (erosion-productivity impact calculator) a method for calculating the K factor using sand contented (%), silt contented (%), clay contented (%), and organic carbon contented (%) in the mathematical formula (Williams, 1990). Standard Table for the K factor was developed by Stone and Hilborn. In this method, a table is provided to determine the K issue from soil organic matters and texture investigation data (Stone and Hilborn, 2012).Interpolation is a method, which estimates values of unidentified points based on the importance of known points and constructs a spatial allotment map for the whole study region (Bhargava et al, 2015;Bhargava, Bhargava et al, 2016). Kriging method is a statistical interpolation method.…”

Section: Introductionmentioning

confidence: 99%

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Kriging Interpolation Based Error Analysis of Epic Model with Respect to Standard K Factor Method for Gurushikhar, Rajasthan, India

Maurya¹,

Tanwar²,

A.S.³

2022

EEC

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This paper investigates an error analysis of the K-factor by EPIC model and the Standard Table. Experiments accomplished to find various contents of soil and K-factor are calculated using the EPIC model and Standard Table is used for standard K values to consider them as true values. Kriging Interpolation is used to find unknown K-factors values in the Gurushikhar study area for both K-factor values. The prediction map for the K-factor is generated for the EPIC model, the Standard Table, and the Error of K-factor using the Kriging interpolation method. In the next section cross-validation comparison of the resulting maps is done. Results of high elevation regions show high negative errors and in plain regions, it shows positive errors. The regression function is generated using the collected and interpolated data. It also shows the high difference in multiplicative factor for âEPIC model K-factorâ map and âK-Factor Error mapâ then âStandard Table Kfactor mapâ and âError mapâ. Histograms for all sample points for Clay, Silt, Soil, and OMC are also created to understand the relationship with the most erroneous frequencies. The result shows that error is dependent on texture (Clay, Silt, and Soil) not on OMC in this study area.

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Section: Introductionmentioning

confidence: 99%

“…It is used to globally interpolate the values using some known ethics in the learn area. Error investigation of K factor is calculated by getting the difference of K factor of EPIC model and standard table obtained from Kriging interpolation maps (Bhargava et al, 2016).…”

Section: Introductionmentioning

confidence: 99%