Development and application of long-term root zone salt balance model for predicting soil salinity in arid shallow water table area

2019 ◽  
Vol 213 ◽  
pp. 486-498 ◽  
Author(s):  
Guanfang Sun ◽  
Yan Zhu ◽  
Ming Ye ◽  
Jinzhong Yang ◽  
Zhongyi Qu ◽  
...  
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Soil Salinity ◽  
Root Zone ◽  
Balance Model ◽  
Salt Balance ◽  
Shallow Water Table

Increased denitrification below the root zone in the fall following a spring manure application

1997 ◽  
Vol 77 (2) ◽  
pp. 249-251 ◽  
Author(s):  
J. W. Paul ◽  
V. Etches ◽  
B. J. Zebarth
Keyword(s):  
Dairy Cattle ◽  
Shallow Water ◽  
Key Words ◽  
Water Table ◽  
Soil Profile ◽  
Root Zone ◽  
Cattle Slurry ◽  
Shallow Water Table ◽  
Indirect Measurements ◽  
Dairy Cattle Slurry

Indirect measurements of denitrification to 120 cm depth in a coarse textured soil in October showed higher denitrification rates following a single spring application of dairy cattle slurry than following a spring application of fertilizer. The highest denitrification rates occurred immediately above and below the water table (90 cm depth) and resulted primarily from C applied in the manure moving down through the soil profile. Key words: Dairy cattle slurry, carbon, nitrate, shallow water table

scholarly journals Quantification of capillary water input to the root zone from shallow water table and determination of the associated ‘Bartlett’ pear water status

2021 ◽  
pp. 227-234
Author(s):  
M.L. Mañueco ◽  
A.B. Rodríguez ◽  
A. Montenegro ◽  
J. Galeazzi ◽  
D. Del Brio ◽  
...  
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Root Zone ◽  
Water Status ◽  
Capillary Water ◽  
Shallow Water Table

Sustainable Root Zone Salinity and Shallow Water Table in the Context of Land Retirement

2010 ◽  
Vol 136 (5) ◽  
pp. 289-299 ◽  
Author(s):  
Purnendu N. Singh ◽  
Wesley W. Wallender ◽  
Marco P. Maneta ◽  
Stephen L. Lee ◽  
Beatrice A. Olsen
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Root Zone ◽  
Shallow Water Table ◽  
Land Retirement ◽  
Root Zone Salinity

Model to assess water movement from a shallow water table to the root zone

2003 ◽  
Vol 62 (2) ◽  
pp. 79-91 ◽  
Author(s):  
D Raes ◽  
P Deproost
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Water Movement ◽  
Root Zone ◽  
Shallow Water Table

Implementation of shallow water table effects on pesticide runoff mitigation efficiency by vegetative filter strips within SWAN-VFSMOD

2021 ◽  
Author(s):  
Robin Sur ◽  
Rafael Muñoz-Carpena ◽  
Stefan Reichenberger ◽  
Klaus Hammel ◽  
Horatio Meyer ◽  
...  
Keyword(s):  
Surface Water ◽  
Shallow Water ◽  
Water Table ◽  
Shallow Water Table ◽  
Vegetative Filter Strips ◽  
Worst Case ◽  
Filter Strips ◽  
Pesticide Runoff ◽  
Selection Of

<p>Quantitative mitigation of pesticides entering surface water using vegetative filter strips (VFS) is currently available within the regulatory SWAN tool for EU FOCUS STEP 4 simulations. For the VFSMOD model option, field estimates of surface runoff, sediment and pesticide loads simulated with the model PRZM are routed through the VFS where VFSMOD estimates the reductions of total inflow (dQ), eroded sediment (dE) and pesticide (dP) loads before the remaining runoff enters the waterbody. The reduced runoff is handed over to the TOXSWA aquatic model to calculate predicted environmental concentrations in surface water (PECsw). Brown et al. (2012) proposed VFSMOD parametrization rules including the selection of VFS soils and other characteristics for use in the FOCUS R1 to R4 (Rx) SWAN scenarios. The rules apply to free-draining soils, described in VFSMOD by the Green-Ampt model extended for unsteady rainfall. However, in some EU regions, the presence of a seasonal shallow water table (sWT) is common. In these cases, the VFS efficiency can be limited, depending on water table depth (WTD) and soil type. VFSMOD incorporates a sWT mechanistic infiltration component that has proven successful to predict sWT effects in VFS experiments. This component requires soil hydraulic characteristics, described by e.g. the Mualem-van Genuchten (MvG) equations.</p><p>The main objective of this study is to identify Rx representative VFS soils to study the effects of sWT on pesticide mitigation for a combination of illustrative storms and pesticides, as well as on PECsw from long-term SWAN simulations.</p><p>The selection and testing of the Rx VFS soils seeks to reflect a 90<sup>th</sup>-percentile worst case in space of dP. The multicriteria adopted in the soil selection evaluate not only dP, but also the percentile of important soil parameters for noWT (K<sub>s</sub>, S<sub>av</sub>) and sWT infiltration conditions (fillable pore volume f<sub>pv</sub>). The framework consisted of 4 steps: (a) soil spatial soil database analysis for VFS Rx mitigation scenarios; (b) selection of VFS candidate soils; (c) analysis of effects of sWT and sorption on dP for individual storm events; (d) Effect of sWT on long-term STEP 4 SWAN VFS mitigation simulations. For (a), representative soil profiles and area coverage for each of the EU Rx were obtained by combining the latest EU JRC soil profile databases SPADE2 and SPADE14. Each multilayer soil was aggregated into single-layer depth-weighted profiles, and MvG parameters were estimated using HYPRES pedotransfer functions (PTF). Water table depths (WTD) were set at equilibrium with TOXSWA median surface water level, and S<sub>av</sub> and f<sub>pv</sub> were calculated by numerical integration from MvG characteristics. For (b), 10644 VFSMOD simulations were run for all combinations of soils, T=1 and 10 yr storms, high/low Koc pesticides, and sWT/noWT conditions. Candidate Rx VFS soils were selected for the most conservative case (low Koc=100 Kg/L pesticide, T=10 yr storm) and noWT to achieve the target spatial 90<sup>th</sup> percentile worst case of pesticide load reduction by the VFS. </p><p>The implementation of the new sWT VFS mitigation component provides a more realistic description of pesticide reduction in accordance with STEP 4 EU FOCUS objectives.</p>

Long-Term Changes In The Shallow Water Table In A Mining Area: The Lubin-Glogow Copper Region, Southwestern Poland

1995 ◽  
Vol 3 (3) ◽  
pp. 41-52 ◽  
Author(s):  
T. Bochenska ◽  
P. Limisiewicz ◽  
L. Loprawski
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Mining Area ◽  
Shallow Water Table ◽  
Long Term Changes

Shallow Water Table Fluctuations in Relation to Soil Penetration Resistance

Ground Water ◽  
2003 ◽  
Vol 41 (7) ◽  
pp. 964-972 ◽  
Author(s):  
James B. Shanley ◽  
K. Niclas Hjerdt ◽  
Jeffrey J. McDonnell ◽  
Carol Kendall
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Penetration Resistance ◽  
Shallow Water Table ◽  
Water Table Fluctuations ◽  
Soil Penetration Resistance

A coupled model simulation assessment of shallow water-table rise in a Saudi Arabian coastal city

2016 ◽  
Vol 12 ◽  
pp. 46-58 ◽  
Author(s):  
Tajudeen M. Iwalewa ◽  
Abdalla S. Elamin ◽  
Sanlinn I. Kaka
Keyword(s):  
Shallow Water ◽  
Water Table ◽  
Model Simulation ◽  
Coupled Model ◽  
Saudi Arabian ◽  
Shallow Water Table ◽  
Coastal City ◽  
Water Table Rise
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