Field Hydrologic Performance of Water Balance Cover in North Texas

Alam, Md. Jobair Bin; DeVries, Brett; Rahman, Naima; Hossain, Md. Sahadat

doi:10.1061/9780784482148.010

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…So, it indicates the presence of preferential flow paths in the cover, which the model could not define. The author reported the existence of desiccation cracks in the covers during the monitoring period [33].…”

Section: Resultsmentioning

confidence: 99%

Field monitoring and model predicted water balance of monolithic cover

et al. 2021

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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.

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Section: Resultsmentioning

confidence: 99%

Field monitoring and model predicted water balance of monolithic cover

et al. 2021

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“…Nonetheless, the field measured annual percolations in 2017 were close to that in the other monitoring years as shown in Table 3. This is because of the precipitation intensity and existence of desiccation cracks in the cover soil [16,23]. Additionally, annual precipitation in 2017 (950 mm) is considered as heavy rainfall year (wet precipitation year) to cause percolation, even though the rainfall quantity is less than the 2015 and 2016 annual precipitation data.…”

Section: Computation Of Percolationmentioning

confidence: 99%

Estimation of percolation of water balance cover using field scale unsaturated soil parameter

et al. 2021

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Water balance covers for landfill closure are used as a barrier which act with the natural processes to reduce percolation. The ideal performance of water balance cover is characterized by the minimal quantity of percolation. The rate of percolation of water balance cover largely depends on unsaturated soil behavior. In this study, percolation was evaluated through unsaturated soil parameters of six instrumented lysimeters. The field instrumentation included moisture sensors, tensiometers, rain gauge, dosing siphon, and pressure transducer. Soil water storage (SWS) capacity (SA) was quantified from the soil water characteristic curves (SWCC) which were developed based on laboratory experiments and field instrumentation data. Required SWS (SR) was also measured from the field monitoring results. Based on analysis, the relative storage ratio (SR/SA) was observed to be greater than unity (1) in most of the cases, indicating potential percolation. The SR/SA was also found competent to identify the lysimeter with higher quantity of percolations. The estimated percolation from the laboratory experimented and field generated SWCCs fairly resembled with the actual field measured percolation. The analyzed results also developed a framework to estimate the thickness of the cover storage layer required to manage percolation for the specific region of the study area.

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