Record Details

A holistic water depth simulation model for small ponds

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title A holistic water depth simulation model for small ponds
Not Available
 
Creator Shakir Ali
Narayan C. Ghosh
P.K. Mishra
R.K. Singh
 
Subject Variable water depth Empty time Simulation Green–Ampt Water balance Pond
 
Description Not Available
Estimation of time varying water depth and time to empty of a pond is prerequisite for comprehensive
and coordinated planning of water resource for its effective utilization. A holistic water depth simulation
(HWDS) and time to empty (TE) model for small, shallow ephemeral ponds have been derived by employing
the generalized model based on the Green–Ampt equation in the basic water balance equation. The
HWDS model includes time varying rainfall, runoff, surface water evaporation, outflow and advancement
of wetting front length as external inputs. The TE model includes two external inputs; surface water
evaporation and advancement of wetting front length. Both the models also consider saturated hydraulic
conductivity and fillable porosity of the pond’s bed material as their parameters. The solution of the
HWDS model involved numerical iteration in successive time intervals. The HWDS model has successfully
evaluated with 3 years of field data from two small ponds located within a watershed in a semiarid
region in western India. The HWDS model simulated time varying water depth in the ponds with
high accuracy as shown by correlation coefficient (R
2
P0.9765), index of agreement (d P0.9878), root
mean square errors (RMSE 6 0.20 m) and percent bias (PB 6 6.23%) for the pooled data sets of the measured
and simulated water depth. The statistical F and t-tests also confirmed the reliability of the HWDS
model at probability level, p 6 0.0001. The response of the TE model showed its ability to estimate the
time to empty the ponds. An additional field calibration and validation of the HWDS and TE models with
observed field data in varied hydro-climatic conditions could be conducted to increase the applicability
and credibility of the models.
Not Available
 
Date 2020-05-22T10:14:54Z
2020-05-22T10:14:54Z
2015-08-17
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/36146
 
Language English
 
Relation Not Available;
 
Publisher Not Available