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Delineation of hydrologically similar units in a watershed based on fuzzy classification of soil hydraulic properties

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Title Delineation of hydrologically similar units in a watershed based on fuzzy classification of soil hydraulic properties
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Creator Santra, P.
Das, B.
Chakravarty, D.
 
Subject fuzzy inference system
saturated hydraulic conductivity
water-retention curve
hydrologically similar unit
hydrological response unit
discretization
 
Description Not Available
Evaluation of flow and transport processes in a watershed-scale requires that the watershed be divided into homogenous
spatial units referred to as hydrologically similar units (HSUs). Although a few discretization schemes are already in use,
a universally acceptable method of obtaining HSUs is yet to emerge. In this study, we developed a fuzzy inference system
(FIS) to classify the saturated hydraulic conductivity (Ks) and two water-retention parameters ˛ and n into fuzzy logic-based
soil hydrologic classes (FSHCs). Analysis of these classes showed that soil properties within an FSHC have less variability
and those between two FSHCs have large variability. This result suggested that soils belonging to a specific FSHC may be
more similar than those across different FSHCs and may be grouped together to represent an HSU. Soils within a specific
hydrologic class were aggregated to delineate HSUs within the watershed. For the Dengei Pahad micro-watershed (DPW), this
approach showed five distinct regions representing a discretized zone having similar soil hydraulic properties. Application of
this approach on a larger international database of soil hydraulic properties revealed that the developed hydrologic classes are
quite comparable across different databases. The delineated HSUs based on these FSHCs were also better than the soil series
map of the watershed in maintaining the soil heterogeneity of the watershed. Moreover, this new discretization scheme using
the SWAT modelling environment showed better performance than the soil series-based discretization approach.
Not Available
 
Date 2019-05-06T11:17:14Z
2019-05-06T11:17:14Z
2010-06-14
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/19261
 
Language English
 
Relation Not Available;
 
Publisher Not Available