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Surrogate prediction of saturated hydraulic conductivity of seasonally impounded soils

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Title Surrogate prediction of saturated hydraulic conductivity of seasonally impounded soils
Not Available
 
Creator N.G. Patil and A. Chaturvedi
 
Subject pedotransfer function, artificial neural network, soil-water retention, saturated hydraulic conductivity, waterlogged soils
 
Description Not Available
Large tracts of Jabalpur district in Madhya Pradesh get inundated by rainwater during monsoon, due to slow permeable nature of the soils. Information on hydraulic characteristics of such soils is necessary for any plan
aimed at management for sustainable agricultural production. Hierarchical pedotransfer functions (PTFs) to
predict saturated hydraulic conductivity (Ks) using texture, bulk density, organic carbon, field capacity and
permanent wilting point as input variables were calibrated using statistical and neural regression tools. Statistical
indices were used for evaluation of calibrated PTFs in describing fitted data (accuracy) as well as predictive
ability (reliability). Performance of PTF using textural data as an input was better than the other PTFs requiring
greater input/number of variables. Mean RMSE varied from 0.35 to 4.43 cm d-1 in statistical regression PTFs
tested for accuracy. Reliability of the statistical PTFs as indicated by mean RMSE also varied greatly with a
range of 4.56 to 55.26 cm d-1. In general, neural PTFs exhibited better performance with relatively lower mean
RMSE (1.58 to 17.42 cm d-1) in evaluation for accuracy as well as reliability (1.48 to 36.37 cm d-1). The results
implied that more soil properties need to be considered as candidate variables influencing saturated hydraulic
conductivity. As a PTF calibration tool artificial neural networks proved superior to statistical regression as
evidenced by evaluation indices
Not Available
 
Date 2024-07-01T11:16:44Z
2024-07-01T11:16:44Z
2012-02-01
 
Type Research Paper
 
Identifier N.G. Patil and A. Chaturvedi
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/83846
 
Language English
 
Relation Not Available;
 
Publisher Not Available