Field Water Balance

Author(s):  
M. H. Ali
2021 ◽  
Vol 337 ◽  
pp. 04009
Author(s):  
Md Jobair Bin Alam ◽  
Asif Ahmed ◽  
Md Aminul Islam ◽  
Naima Rahman ◽  
Md Sahadat Hossain

The use of the evapotranspiration cover for landfill is increasing because of its long-term enhanced performance. However, the performance of evapotranspiration cover primarily depends on the onsite geo-climatic conditions. Therefore, field verification of cover performance through constructed test plots is required before actual implementation. Additionally, numerical modeling and comparison with field results are necessary for future performance prediction. The objective of this study was to simulate the water balance hydrology of evapotranspiration cover using the code SEEP/W. Drainage lysimeter was constructed with fine-grained soil and native vegetation. Field water balance data from the lysimeter were obtained through instrumentation. Onsite climatological data, laboratory and field investigated soil parameters and actual field studied plant parameters were used as model input. Based on one year’s simulation, it was observed that the code nearly captured the seasonal variations in the water balance quantities measured in the field. Surface runoff was reasonably predicted in the model where precipitation intensity appeared to be responsible to some extent. Evapotranspiration was slightly overpredicted and the fluctuation in soil water storage was similar to the field results. The model predicted annual percolation was approximately 45 mm, which is under-predicted than the actual field measured annual percolation of 62 mm.


Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 135 ◽  
Author(s):  
Duminda Vidana Gamage ◽  
Asim Biswas ◽  
Ian Strachan

While traditional soil water sensors measure soil water content (SWC) at point scale, the actively heated fiber-optics (AHFO) sensor measures the SWC at field scale. This study compared the performance of a distributed (e.g., AHFO) and a point-based sensor on closing the field water balance and estimating the evapotranspiration (ET). Both sensors failed to close the water balance and produced larger errors in estimated ET (ETε), particularly for longer time periods with >60 mm change in soil water storage (ΔSWS), and this was attributed to a lack of SWC measurements from deeper layers (>0.24 m). Performance of the two sensors was different when only the periods of ˂60 mm ΔSWS were considered; significantly lower residual of the water balance (Re) and ETε of the distributed sensor showed that it could capture the small-scale spatial variability of SWC that the point-based sensor missed during wet (70–104 mm SWS) periods of ˂60 mm ΔSWS. Overall, this study showed the potential of the distributed sensor to provide a more accurate value of SWS at field scale and to reduce the errors in water balance for shorter wet periods. It is suggested to include SWC measurements from deeper layers to better evaluate the performance of the distributed sensor, especially for longer time periods of >60 mm ΔSWS, in future studies.


2004 ◽  
Vol 33 (6) ◽  
pp. 2317-2332 ◽  
Author(s):  
William H. Albright ◽  
Craig H. Benson ◽  
Glendon W. Gee ◽  
Arthur C. Roesler ◽  
Tarek Abichou ◽  
...  

2012 ◽  
Vol 115 ◽  
pp. 104-117 ◽  
Author(s):  
Y. Fouli ◽  
S.W. Duiker ◽  
D.D. Fritton ◽  
M.H. Hall ◽  
J.E. Watson ◽  
...  

2001 ◽  
Vol 37 (5) ◽  
pp. 1209-1219 ◽  
Author(s):  
Weidong Li ◽  
Baoguo Li ◽  
Yuanchun Shi ◽  
Diederik Jacques ◽  
Jan Feyen

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